Abstract of SciFair2019

Preface

The Faculty of Science, Srinakharinwirot University has been dedicated to provide the
best education in science, perform excellent research to enhance international recognition and
practice community services to strengthen the well-being of Thai people. In the past 46
years, Faculty of Science has been delivered well-recognized alumni to Thai society through
our pedagogic approaches and core values designated as SCI (S: Sharing; C: Caring; I:
Integrating). Therefore, the current students have to be prepared for professional development
to cope with disruptive era and to be ready for the BCG economy (Bioeconomy, Circular
Economy and Green Economy).

According to the above context, Faculty of Science was decided to organize the sixth
SCI Fair-Senior Project Presentation for 2019 academic year during April 23-24, 2020. This
mission provides opportunities for the Bachelor degree students of 13 curricular to share their
scientific research, educational experiences and establish networking among participants. All
of the research processes were stemmed from the effort and perseverance of students and
their mentors who guided and stipulated students to complete their senior works.

Unfortunately, due to the pandemic of COVID-19 (Corona Virus Disease 2019) all
the arrangements had to be canceled to prevent the spreading and infection of the virus.
However, to further advance and disseminate scientific discoveries, abstracts of all 197 senior
projects were collected and presented in the digital format.

Lastly, I would like to express my gratitude to all students and personnel of Faculty of
Science for their commitment and management of this project. I sincerely hope that everyone
would be safe and healthy throughout this difficult time of COVID-19 pandemic.

Assoc. Prof. Parin Chaivisuthangkura, Ph.D., SFHEA
Dean, Faculty of Science

Srinakharinwirot University

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Abstract Page

1. Bachelor of Science Program in Mathematics

MATH01 Using Burnside’s Theorem to calculate the number of painting methods on 1
some pattern of glasses
2
MATH02 Detection of t-jump transposition errors, t-jump twin errors and single and
adjacent transposition errors by using the scheme on dihedral groups 3
4
MATH03 Some properties of k-Fibonacci numbers
5
MATH04 Numerical solution of integral equations by using Galerkin method with 6
Legendre polynomials

MATH05 The Kaprekar numbers in standard positional numeral systems

MATH06 Using recurrence relation to count the number of perfect matchings in
chain graphs

2. Bachelor of Science Program in Computer Science

COM01 24 Hours forecasting PM2.5 concentration from photos 7
8
COM02 In-car CO gas detection and alert system 9

COM03 A development of smart home for life improvement based on internet of 10
things technology 11
12
COM04 SaapFood cam: A Thai-Isan food recognition mobile application 13
14
COM05 Automatic diagnosing of facial stroke asymmetry by 3D-face analysis system 15
16
COM06 Sign Language of weather forecast translation with RNN and Mediapipe 17
18
COM07 An assistive robot for convenient delivery in indoor environment

COM08 Trashy: an IoT - based smart recycling bin system

COM09 A web application for Crime Network Analysis using thai news

COM10 Automatic system for detecting fake news on Twitter

COM11 A development of face identification system with IoT and NDID platform

COM12 Real-time water quality monitoring system with Internet of Things technology
and data analytics.

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COM13 Detecting smokers in non-smoking area using intelligent surveillance 19
camera
COM14 20
COM15 Realtime face recognition system using one-shot learning technique 21

Forecasting gold price time series

3. Bachelor of Science Program in Statistics

STAT01 Factors affecting usage selection of GET application for order foods 22
23
STAT02 Forecasting processed fruit and canned fruit export volumes 24
25
STAT03 Forecasting the amount of water in Lam Pra Pleng dam 26

STAT04 Price forecasting for long-grain Sanpatong glutinous rice-10%

STAT05 Perspective of working people in Asoke on not having children

4. Bachelor of Science Program in Chemistry 27
CHEM01 Bioactive compounds from Vernonia amydalina 28

CHEM02 Development of reversed-phase paper chromatography for 29
semiquantitative analysis of food coloring 30
31
CHEM03 Synthesis of piperine derivatives for insecticide 32

CHEM04 Quality analysis of fruit syrup 33

CHEM05 Bioactive compounds from Vernonia amygdalina 34
CHEM06 35
Development of microfluidic paper based analytical device for sugar 36
CHEM07 detection

Qualifying an efficient phenolic extraction method from Sugarcane Khon
Kane 3 (KK3)

CHEM08 Colorimetric sensor for quantitative detection of ammonium ion
CHEM09 Development of fluorescent unnatural amino acids for protein study
CHEM10 Bioconversion of polystyrene to polyhydroxyalkanoate(s)

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CHEM11 The development of electrochemical sensor for simultaneous detection of 37
uric acid and dopamine using poly(glutamic acid) modified screenprinted
CHEM12 electrode 38
CHEM13 39
CHEM14 An application of carbon quantum dots as fluorescent sensor probe for 40
CHEM15 melamine determination 41
CHEM16 42
CHEM17 Computational study of novel multitarget inhibitors against Alzheimer’s 43
CHEM18 Disease 44
CHEM20 45
CHEM21 The study of binding interaction between quinoline derivative with serum 46
CHEM22 albumins by spectroscopy and molecular docking 47
CHEM23 48
CHEM24 Development of a portable PEDD detector for paper-based analytical 49
CHEM25 device to determine total phenolic compound. 50
CHEM27 51
CHEM28 Chemical constituents of Gymnopetalum Chinese (Lour.) Merr. 52
CHEM29 53
Synthesis of sulfonamide derivatives as aromatase inhibitor

Extraction of chlorogenic acid from coffee plup

Development of pretreated screen-printed graphene electrode by overoxidation
technique for determination of Vitamin B9

Synthesis and study interaction of metal complex nanoparticles with phenolic
acid in natural

Synthesis of modified sliver nanoparticles for Mn2+ detection

Domestic microwave assisted synthesis of carbon dots from tartaric acid
and triethylenetetramine for detecting metal ions

Investigation of bioactive compounds stimulated breast milk from herbs

Gelatin-Tannin modified filter membrane for preconcentration of Lead

Study of extracellular enzymes activities of bamboo mushroom on culture
media containing ground coffee

Synthesis of carbon dots from tartaric acid and urea using microwave-
assisted hydrothermal method as a metal ion detector

Design and development of tuberculosis inhibitors by molecular docking

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CHEM30 Synthesis of polycarbonate from carbon dioxide and biomolecules using 54
metal oxide catalyst

5. Bachelor of Science Program in Microbiology

MICRO01 Commercial biodegradable plastic degradation by whole cell of Actinomadura 55
keratinilytica strain T16-1 in 3-L stirrer fermenter and under composting
condition 56
57
MICRO02 Elucidating the mechanisms of DNA repair via homologous recombination 58
in Bacillus subtilis
59
MICRO03 Isolation and antimicrobial susceptibility test of bacterial isolated from 60
hospital wastewater treatment 61
62
MICRO04 Commercial biodegradable plastic degradation using the enzyme produced 63
by Actinomadura keratinilytica strain T16-1 in 3-L stirrer fermenter and 64
under composting condition 65
66
MICRO05 Efficiency of synthetic dye decolorization by white-rot fungi and ligninolytic 67
enzyme study

MICRO06 Biocontrol of postharvest diseases in various fresh products by using
volatile compound of Steptomyces sp. strain AT14898

MICRO07 Natural dye production from Penicillium sp. PK17-44 for dyeing fabrics

MICRO08 Isolation and characterization of lytic bacteriophage against Pseudomonas
aeruginosa

MICRO09 Encapsulation of canine probiotic bacteria in sodium alginate and sodium
alginate-goat milk matrices

MICRO10 Study of the immune response to seasonal influenza vaccine in end-stage
renal disease patients

MICRO11 Optimization of lipid production by Lipomyces tetrasporus ADrSe9-2 from
hydrolyzed agriculture wastes using crude enzyme

MICRO12 A study of washing methods to reduce contaminated microorganisms on
fresh vegetables

MICRO13 Isolation and characterization of lactic acid bacteria and yeasts involved in
coffee fermentation during wet processing of Coffea arabica

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MICRO14 Effect of bacterial antagonist on the induction of defense-related gene 68
MICRO15 expression and reactive oxygen species accumulation in Pan – lime 69
MICRO16 70
MICRO17 Efficacy of culture filtrate of Pseudomonas aeruginosa SWUC02 against 71
MICRO18 bacterial pathogen 72
MICRO19 73
MICRO20 Isolation and characterization of lytic bacteriophages against Aeromonas 74
MICRO21 hydrophila 75
MICRO22 76
MICRO23 Comparison of enzyme kinetics of two commercial cellulases in presence 77
MICRO24 of potassium chloride 78
MICRO25 79
MICRO26 Study of weedy rice elimination method using Bacillus subtilis strain OK1101 80
MICRO27 81
MICRO28 Medium optimization for cultivation of carotenoid producing yeasts 82
MICRO29 83
MICRO30 Antimicrobial susceptibility and genetic characterization of Salmonella spp. 84
isolated from environment samples

Development of probiotic carriers: dried bacon and dried pork liver, for
dog snack with the impregnation of probiotic bacteria

Extraction of beta-glucan from edible mushrooms and Amauroderma
subresinosum (NP17-12) and their antioxidant activity

Detection of mosquito-borne diseases in Aedes aegypti and Aedes albopictus
mosquitoes in Phetchabun province

Screening of red yeasts and medium modification for carotenoid production

Detection of Felis catus gammaherpesvirus 1 (FcaGHV1) in domestic cats
in Bangkok, Thailand

Rapid diagnosis of Sporothrix schenckii from clinical samples by PCR and
MALDI-TOF MS.

Detection of Hepatitis B and Hepatitis C virus in Tha Song Yang, Tak province

Isolation and selection nitrogen-fixing bacteria to be used as biofertilizer in
hydroponic system

Antioxidant activity and alpha-glucosidase inhibitory effect of edible
mushroom teas

Comparative kinetics of two commercial cellulase cocktails in hydrolysis
of lignocellulosic materials with presence of sodium chloride

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6. Bachelor of Science Program in Biology

BIO01 Anesthetic efficacy of vanilla essential oil for juvenile red tilapia 85
(Oreochromis niloticus-mossambicus) transportation 86
87
BIO02 Genus diversity of phytoplankton in Koh Sichang, Chonburi 88
89
BIO03 Development of vanilla essential oil emulsion as anesthetic agent for red 90
tilapia (Oreochromis niloticus-mossambicus) transportation 91
92
BIO04 Prevalence and mean intensity of Lecithocladium cristatum infecting in the 93
black pomfret fish (Parastromateus niger) 94

BIO05 Comparative some physiological responses in Passiflora quadrangularis L. 95
and Passiflora edulis Sims under electron beam 96
97
BIO06 Effect of aqueous crude extracts from leaves of family Apocynaceae on 98
growth inhibition of a fungus caused Fusarium wilt on tomato

BIO07 Development of immunological based methods for detection of scale drop
disease virus (SDDV) in Asian seabass fish

BIO08 Diversity of pteridophytes along Sunanta Waterfall in Khao Nan National
Park, Tha Sala District, Nakhon Si Thammarat Province

BIO09 The prevalence of gastrointestinal tract parasite and molecular identification
of Ascaridia galli in chicken (Gallus gallus domesticus).

BIO10 Detection of specific immune response in Nile tilapia (Oreochromis niloticus)
after vaccination with Aeromonas hydrophila, Streptococcus agalactiae and
BIO11 Flavobacterium columnare using indirect enzyme-linked immunosorbent assay
BIO12 (ELISA)
BIO13
BIO14 Species identification of poisonous mushrooms in the genus Chlorophyllum
using ITS sequence data

Expression analysis and characterization of Tumor Necrosis factor (TNF)
from Macrobrachium rosenbergii

Production of polyclonal antibodies against Aeromonas hydrophila

Species diversity of birds during winter in Vachirabenjatas Park

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BIO15 Precise identification of rumen flukes (Trematoda: Paramphistomoidea) in 99
BIO16 cattle using morphological metric and phylogenetic analyses
BIO17
BIO18 Genus diversity of phytoplankton at Tha Chalom harbor, Wat Chong Lom 100
BIO19 and Wat Bang Ya Phraek port, Samut Sakhon
BIO20
BIO21 The effectiveness of plant growth regulators on physiological changes of 101
BIO22 teak (Tectona grandis L.f.) under drought stress 102
BIO23
Inhibitory effect of Leucaena leucocepphala leaves–water extracts on plant
BIO24 growth

Development of monoclonal antibody specific to Flavobacterium columnare 103
for detection of infection freshwater fish

Molecular isolation and characterization of gamma-interferon-inducible 104
lysosomal thiol reductase (GILT) gene from Macrobrachium rosenbergii

Genus diversity of water beetles in Nakhon Nayok province 105

Molecular cloning and characterization of partial down-syndrome cell 106
adhesion molecule (DSCAM) gene from Macrobrachium rosenbergii

Characterization of intestinal trematode infections in ducks (Anas 107
platyrhynchos) in Suphan Buri, Thailand based on morphological and

molecular analyses

Diversity of giant pill-millipedes in the lower part of Northeastern Thailand 108

7. Bachelor of Science Program in Physics

PHY01 Study and construct experimental package design of infrared radiation 109
from objects

PHY02 The study of physical and optical properties on titanium dioxide nanotubes 110
coating with gold nanoparticles

PHY03 Microfluidic model for Scattering of Fluid 111

PHY04 Sunlight photodegradation of methylene blue using titanium dioxide 112
nanoparticles as a catalyst

PHY05 Synthesis of graphene from graphite by mechanical exfoliation technique 113

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PHY06 Wettability of titanium dioxide nanoparticle/carbon nanotubes nanocomposites 114
PHY07
The study of pile-up effect occurring in the observations of the ultraluminous 115
PHY08 X-ray source M33 X-8

PHY09 A comparison of infrared reflection and transmission of fabric using digital 116
PHY10 camera
PHY11
Design and implementation of a microcontroller based PM2.5 particle counter 117
PHY12
GZK cutoff 118
PHY13
PHY14 A Study of Image Processing with Deep Learning using TensorFlow and 119
OpenCV

The application of thin film force sensors and Arduino board for monitoring 120
the human walking

Variation of temperature in solar dryer with solar energy reflection system 121

Study result of solution ethanol on sealing PMMA 122

8. Bachelor of Science Program in Home Economics

HOME01 Development of thick and thin puree-thick liquids ready to eat with fiber 123
rice bran flour for elderly

HOME02 Hom dyeing on cotton by Eco-friendly methods 124

HOME03 Development of the hygienic face mask pattern for preventing the fine 125
particulate matter

HOME04 The development of milk toffee product with flaxseed fiber 126

HOME05 Development of noodle product in protein-free rice and flour group 127

HOME06 Development of Big Flat Noodles Products from Sangyod Rice Flour 128

HOME07 Development of the yogurt with Tom-Yum flavor 129

HOME08 Development of Boba topping by addition durian rind 130

HOME09 Development of Chinese Pasta Soup Noodle Products from Riceberry Flour 131

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HOME10 Apparel design and development from “Tai Lue” fabrics for alternative 132
gender (LGBT)
HOME11
HOME12 The design of female apparel from Benjarong tracery Chakri concept 133
HOME13
Development of healthy fruit juice with konjac powder 134
HOME14
HOME15 Development of Dietary Supplement Vermicelli Products from Orange 135
HOME16 Fleshed Sweet Potato Powder

HOME17 Development of Supplemented Protein Cracker from Cricket Powder 136
HOME18
HOME19 Development of date palm syrup products using cooking instead Sugar 137

HOME20 Development of the natural dyed multifunctional-fabric bag with the 138
patchwork technique
HOME21
HOME22 Development of plant - based meat product 139

Development of Pudding from Boiled Rice Water of Black Rice 140

Application of bioactive compounds from lotus (Nelumbo nucifera) in 141
gummy jelly product

Development of Thai fermented sausage with chicken breast and germinated 142
brown rice 143

Effects of sweetener and job’s tear milk on sweetened condensed milk

Development of Peanut Brittle with Reduced Sugar 144

9. Bachelor of Education Program in Mathematics

MATHED01 The study of the relationship between the number of days and the reduction 145
of PM 2.5

MATHED02 The summation of the perimeter of the unlimited number of n-sided polygons 146
inscribed into the original shapes

MATHED03 The study of the relationship between the first derivative of area and the 147
perimeter of irregular polygon

MATHED04 The study of the ratio of the total area of the outer triangle to the n-shaped 148
area

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MATHED05 A normal formula of the number of Convex Polyominos whose area is 149
positive

MATHED06 Attached-Screen Stickers for taking a golden ratio photo 150

MATHED07 The relationship between lengths of neck and of waist 151

MATHED08 The generator tool of the Archimedean Spiral 152

MATHED09 Magic triangles 153

MATHED10 Relationships between a number of strands of rope and the c value of the 154

parabola obtained from rotating full glasses of water

MATHED11 The frequencies and average of error of Thai musical notes in the context of 155
mathematics

MATHED12 A study of the relationships between the angle and the illumination area of 156
the floodlight

MATHED13 A Curve equations along a trajectory of a volleyball ball which is generated 157
from a service

10. Bachelor of Education Program in Science-Chemistry

CHEMED01 Mangosteen wound patch from aloe vera gel and mangosteen peel extract 158
for skin-wound healing

CHEMED02 Synthesis of UV-protecting bioplastic film from sugarcane bagasse modified 159
with ZnO nanoparticles 160

CHEMED03 Production and characterization of bioplastics from dragon fruit (Hylocereus
undatus) mucilage

CHEMED04 Development of colorimetric-agar based device coupled with using PEDD 161
optical detector

CHEMED05 The synthesis of tannic acid-immobilized cellulose fiber from coconut husk 162
for heavy metal ion adsorption

CHEMED07 Formulation of rice noodles incorporated with extracts of Caesalpinia sappan 163
heartwoods, mangosteen peels and green tea leaves to reduce the amount of
bacteria and slowing the digestion rate of starch digesting enzymes

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CHEMED08 Increase of gamma-aminobutyric acid (GABA) in germinated brown rice with 164
a solution related to the GABA pathway 165

CHEMED09 Study of tetracycline adsorption by using magnetic nanoparticles ( MNPs)
MFe2O4 with UV-spectrophotometry

CHEMED10 Development of learning media on the rate of chemical reactions and 166
projectile through STEM education.

CHEMED11 A shallot extract-modified magnetic adsorbent for the removal of methylene 167
blue, Cd2+, Pb2+, and Cr2O72- ions from aqueous solution

11. Bachelor of Education Program in Science–Biology

BIOED01 Enzymatic responses and histopathological alteration of the giant freshwater 168
prawn, Macrobrachium rosenbergii (De Man, 1879)

BIOED02 Accumulation of heavy metals in Chromolaena odorata (L.) King & Robins. 169
grown in nutrient solution under PEG-stimulated drought stress

BIOED03 Diversity of pteridophytes along Bua Chaek Yai Nature Trail in Khao Nan 170
National Park, Tha Sala District, Nakhon Si Thammarat Province

BIOED04 Molecular identification of a partial complementary DNA of toll interacting 171
BIOED05 protein (TOLLIP) in fresh water prawn Macrobrachium rosenbergii
BIOED06
The role of 7,8 - dihydro - 8α – 20 - hydroxyecdysone (DHECD) on growth 172
and photosynthesis in Khao Yipun DOA1

Effects of 7,8-dihydro-8α-20-hydroxyecdysone (DHECD) on shoot growth 173
and physiological responses of arabica coffee ( Coffea arabica L.) under

drought stress

BIOED07 Anatomical characteristics and genetic diversity of Suaeda maritima in 174
Bangkok, Samut Prakan, Samut Songkhram and Samut Sakhon provinces

BIOED08 Enhancement of biogas production from dry and wet vegetable wastes by 175
acid pretreatment

BIOED09 Molecular isolation of a partial complementary DNA of interferon regulatory 176
factors (IRF) of fresh water prawn (Macrobrachium rosenbergii)

BIOED10 Effect of electron beam on physiological responses in rice RD43 (Oryza 177
sativa cv. RD43)

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BIOED11 Species diversity of herpetofauna at the headquarters area in Khao Nan 178
BIOED12 National Park, Nakhon Si Thammarat Province
BIOED13
The improvement of aseptic techniques for in vitro culture of Petunia hybrid L. 179
without using autoclave and laminar air flow

Potential of brassinosteroid mimics on growth and yield of cherry tomato 180
‘CH154’ under water deficit condition

12. Bachelor of Education Program in Science-Physics

PHYED01 Study of sheet resistance of transporting-material layers and efficiency of 181
low-cost perovskite solar cell using carbon film as cathode electrode

PHYED02 The Study of Wettability of Graphene Oxide Based Titanium Dioxide 182
Nanocomposites

PHYED03 The study of GO/TiO2 composites physical properties 183

PHYED05 The study of infrared protection efficiency of the weave pattern and weave 184
pattern with copper fibers combination

PHYED06 The Study on Energy Gap of Graphene Oxide / Titanium Dioxide Composites 185

PHYED07 The study on object temperature covered with canvas fabric cloaked by Pu- 186
SnO2 sol-gel through block screen printing

PHYED08 Thermoelectric generation using parabolic dish solar collector 187
PHYED09
Prototyping of 3 D surface roughness image simulation device using the 188
PHYED10 principle of an atomic force microscope

A Measurement for Temperature’s Variation with an Arduino Microcontroller 189
for the Different Ventilation’ Models

13. Bachelor of Education Program in General Science

GSCED01 The effect of using educational games to promote science learning in the 190
topic of weather for 7th grade students.

GSCED02 The development of the science process skills training packages on Thai 191
children don’t craving sweet for the lower secondary school students

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GSCED03 Science learning achievement on elements and compounds of 7th grade 192
GSCED04 students by using inquiry - based learning (5Es) and educational games

GSCED05 Development of learning activity packages based on STEM education to 193
improve creative thinking for grade 5th students on invention from waste
GSCED06
GSCED07 materials
GSCED08
Development of science process skills and science problem-solving ability 194
training package for lower secondary school students towards the use of
Spirulina sp.

A study of science learning outcomes on force for 5th grade students by 195
using inquiry lesson plan with Predict-Observe-Explain (POE) teaching method 196

A study of the science learning achievement on wind of 3rd grade students
by using inquiry process and questioning techniques.

The development of Science Activity Package on Electrical Challenge to 197
Enhance Basic Science Based Learning Outcomes for 9th Grade Students

Using Burnside’s Theorem to calculate the number of painting
methods on some pattern of glasses

Pornpitak Tamawiset, Passakorn Wisessantisuk and Ruangvarin Intarawong Sararnrakskul *
Department of Mathematics, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

In this work, the dihedral group of degree 8 ( 4), group action, and Burnside’s
Theorem are studied to calculate the number of painting methods on the ×
square glasses which pattern below:

8x8

Then the number of coloring is 1 ∑ ∈ 4 Φ( ) = 1 [Φ(1) + Φ( ) + Φ( ) + Φ( )].
| 4| 4

Keywords: Dihedral group, Group action, Burnside’s Theorem

-1-

Detection of t-jump transposition errors, t-jump twin errors and
single and adjacent transposition errors by using the scheme on
dihedral groups

Saowalak Sapmeesuk, Anan Yokthe and Nissara Sirasuntorn *
Department of Mathematics, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

We use digits to create any codes of strings such as library identification number,
bank account numbers and bank note numbers. Using the code sometimes makes
some errors. This leads to the study of the error detection methods. In this project,
we study the check digit scheme on the dihedral group and the condition of error
detection methods in types of t-jump transposition errors, t-jump twin errors and
single and adjacent transposition errors. Moreover, we show the effectiveness of
these three error detections in some cases.
Keywords: Check digit scheme, Dihedral group, Error detection method

-2-

Some properties of k-Fibonacci numbers

Natthakarn Pindee, Nitkakan Tirapongsan, Phitchaphon Mekarkat and Sermsri Thaithae *
Department of Mathematics, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

In this project, we study some properties of k-Fibonacci numbers by using its Binet's
formula. In addition, we study some properties of the k-Fibonacci sequences modulo
ring Z6 and Z10 . The k-Fibonacci sequences modulo 6 and 10 are discussed in this
project.
Keywords: k-Fibonacci numbers, k-Fibonacci sequences

-3-

Numerical solution of integral equations by using Galerkin
method with Legendre polynomials

Rungroj Wattanakijkusol and Itthithep Navarasuchitr *
Department of Mathematics, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

In this work, we study numerical solution by Galerkin method with Legendre
polynomials and compare with the exact solution by using the direct computation
method for a class of Fredholm integral equations of the second kind. The
equations studied in this work arise in real situation, e.g., the capacitance of the
parallel plate capacitor in the electrostatic field, and the radiactive heat transfer.
This method uses approximating by Legendre expansion for the integral equation
and transforms the integral equation to system of linear equations. Some numerical
examples use to illustrate the accuracy of method.
Keywords: Fredholm integral equation, Inner product, Galerkin method,
Legendre polynomials, Direct computation method

-4-

The Kaprekar numbers in standard positional numeral systems

Tat Raksasri, Woraput Palakawong Na Ayuthaya, Nattapong Pongsuwan and
Jittinart Rattanamoong *
Department of Mathematics, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

In 2000, Iannucci prove that every even perfect number is a Kaprekar number in
the binary base. In this work, we extend this property to standard positional
numeral systems.
Keywords: Kaprekar numbers, Standard positional numeral systems

-5-

Using recurrence relation to count the number of perfect matchings
in chain graphs

Pattana Maliwan, Thitaporn Singthong, Supatta Sirilap and Varanoot Khemmani *
Department of Mathematics, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

A matching M of a connected graph G is a subgraph of G containing no adjacent
edges and isolated vertex. A matching M of a connected graph G is called a perfect
matching of G if V(M) = V(G). In this project, we study the number of perfect
matchings of an odd chain graph and an alternating odd chain graph using
recurrence relation. The results show that the number of perfect matchings
depends on the number of their faces. Furthermore, we present the relationship of
the number of perfect matchings between a strip snake chain graph with blue faces
and an odd chain graph.
Keywords: Perfect matching, Recurrence relation, Odd chain graph, Alternating
odd chain graph, Strip snake chain graph

-6-

24 Hours forecasting PM2.5 concentration from photos

Chanakarn Boonditsataporn, Sidapon Yaemvathithong, Suchanat Yodkla and Nuwee Wiwatwattana *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

In the past few years, PM2.5 crisis has loomed over Thailand's air quality
situations, a crisis that will continuously and directly affect human health. In this
work, we built a model to forecast PM2.5 concentration for the next 24 hours
from images using deep learning's Convolutional Neural Network (CNN) and
Long Short-Term Memory (LSTM). The images were captured from two CCTV
cameras facing toward different directions: 997 images from the GMM Grammy
direction, and 1931 images from the Show DC direction at each hour interval
from August 3, 2019 to December, 31, 2019, 7:00 am until 6:00 pm. The image
dataset were split into training set, validation set, and testing set. The forecasting
results were evaluated with data from the Pollution Control Department's nearby
air pollution stations using regression metrics: Root Mean Square Error (RMSE),
Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE).
RMSE of the three data set for the GMM direction are 9.58, 10.13, and 9.28
micrograms per cubic meter. For the Show DC direction, they are 9.81, 11.01,
and 9.83 micrograms per cubic meter. MAE of the three data set for the GMM
direction are 7.20, 7.55, and 9.28 micrograms per cubic meter. For the Show DC
direction, they are 7.17, 7.57, and 7.42 micrograms per cubic meter. Lastly,
MAPE of the three data set for the GMM direction are 28.45, 30.33, and 27.94
percent. For the Show DC direction, they are 37.31, 38.69, and 39.77 percent.
Keywords: PM2.5, 24 Hours Forecasting PM2.5 Concentration

-7-

In-car CO gas detection and alert system

Chatchanan Premsri, Thanon Dokrakklang, Thitipon Tienyam and Sasivimon Sukaphat *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

This research aims to develop a carbon monoxide leakage detection system using
the NodeMCU microcontroller with MQ7 sensor. The amount of carbon
monoxide which detected from sensor will be analyzed through a logic operation.
If results from sensor exceed than our thresholds, the CO detection system will
send the result and send notifications to the user using Line Notify. In addition,
the results will show in a form of graph on ThingSpeak system and predict the
trend of CO leakage on MATLAB. The result of our experiment, CO detection
system was able to detect CO gas correctly. From the preliminary experiment of
3 types: half windows opened, air-condition on recirculation mode and air-
condition on fresh air mode. Each mode tested at car speed 0, 40 and 80 km/hr.,
10 times testing per each mode, the system was able to alert, our system were
able to inform the user through the Line notify application when the system found
any CO exceeds than the threshold. Therefore, user will acknowledge and can
prepare to respond quickly if there is a CO leakage.
Keywords: CO detection system, Line Notify, MATLAB, ThingSpeak

-8-

A development of smart home for life improvement based on
internet of things technology

Natdanai Khamnoun, Thanasak Todsieng and Sasivimon Sukaphat *
Department of Computer Science, Faculty of Science, Srinakarinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

This research aims to prepare a smart home system which can control electric
appliances, detect intruder and send a notification to the house owner. To detect
the intruder and sending notifications, we use the NodeMCU microcontroller
including multi-sensor such as PIR motion sensor and Thermister temperature
sensor which collect data for further analysis. In case of founding the intruder,
the system will send notifications to the house owner using LINE Notify
application and also turn on a light in detection area. For data obtained from the
temperature sensor, after processing, it will send a signal to control the fan to
reduce the temperature in the room. The light system in each room can be
controlled from a smartphone using LINE Chatbot.
Keyword: Chatbot, Internet of Things, Intruder Detection System, Iot, LINE
Notify

-9-

SaapFood cam: A Thai-Isan food recognition mobile application

Wimonsinee Yuanjai, Salintip Ninprayoon, Chatrawee Sangtong and Nuwee Wiwatwattana *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Nowadays, one of the important factors that directly affects human health is food
consumption. The main purpose of this research is to develop an Android
application called “SaapFood Cam” which recognizes Northeastern Thai (Isan)
food images in the daily life. Deep Learning and Convolutional Neural Network
(CNN) were used for building the food image recognition models. A food
database containing 44 kinds of famous Thai-Isan food called “ISANTHFOOD-
44” was used for training and testing processes. These images were collected
from two sources, Khon Kaen University's Manee project, and the search engine.
Users can take a photo of food from the application and then the food image will
be processed and the name of that food predicted will be shown on the screen.
Three deep convolutional neural network architectures were trained on
ISANTHFOOD-44 dataset, including InceptionV3, ResNet50, and MobileNetV2.
ResNet50 outperformed the other two with the top-1 accuracy of 97.25 percent
and the top-5 accuracy of 99.04 percent on the test dataset. InceptionV3 achieved
97.23 percent top-1 accuracy and 98.93 percent top-5 accuracy, and
MobileNetV2 achieved 96.88 percent top-1 accuracy and 98.86 percent top-5
accuracy. For future research, this work can be extended in several ways, for
example, showing the amount of calories or degrees of saltiness or sweetness
from food images, possibly by colors of the food or proportions of ingredients.

Keywords: Convolutional Neural Networks, Deep Learning, Food Recognition,
Smartphone, Thai-Isan food

- 10 -

Automatic diagnosing of facial stroke asymmetry by 3D-face analysis
system

Nutcha Suktawee, Jarinya Jusing, Sasithorn Lakkanatinnachard and Vera Sa-ing *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Stroke is the most disease that occurs in elderly patients in Thailand. Moreover,
the current medical record reports that this disease can occur in young patients.
From these problems, there are many researches that invent and develop a new
system to diagnoses and recognizes the preliminary state of stroke. The initial
symptoms of patients represent the asymmetric face that was occurred by the
weakness of the half-face muscles. This research proposed an automatic
diagnosing system of facial stroke asymmetry by using the three-dimensional
computer vision to analyze the symmetry of the patient face. This system will
detect the main key points of the patient face that consists of the eyes, nose, and
mouth. After that, the proposed system will measure the symmetry, the
inclination, and the area from these key points. From the experimental results, the
3D-Face analysis system diagnoses the facial stroke asymmetry accurately,
quickly and precisely. Therefore, the proposed 3D-Face analysis system represents
the diagnosis of the facial asymmetry that can assist the medical doctor to analyze
the preliminary state of the stroke patients.
Keywords: 3D Face Analysis, Stroke, Face Detection

- 11 -

Sign Language of weather forecast translation with RNN and
Mediapipe

Manassanun Krutta, Nattapol Lerdridtipong, Suwatchai Kiatchalermpon and Waraporn Viyanon *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Sign language of the weather forecast translation system plays a big role in
helping the disability people such as muted, deaf and hearing impaired to
communicate with normal people and also reducing the time and cost of sign
language interpreters. In this paper, we developed an automatic sign language
translation application for the weather forecast translation system. We utilized
Google MediaPipe’s Hand Tracking, which detects key points of hand landmarks
specifically, then separated frames of a video into images, extracted features of
all the images to vector, and used them as inputs for LSTM model which sorts
the sequences of hand’s movement vector to become a word and then gathers
these words together in order to create a sentence for hand’s movement. We
divided the dataset into a 80% training set, and 20% test set to obtain a reliable
evaluation and avoid overfitting. During the training phase, the best model
parameters were selected through 5-fold cross validation. The model accuracy is
77.4%. We then developed an application using the model that would help
people with disabilities be able to use it.
Keywords: Sign Language, MediaPipe, Recurrent Neural Network, Long short-
term memory

- 12 -

An assistive robot for convenient delivery in indoor environment

Chanon Treemeth, Jirawat Promsee and Chantri Polprasert *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

With many countries such as Thailand now entering an aging society, using
assistive robots for providing care, support and companionship to elderly people
are considered one of the promising solutions. In this paper, we propose an
assistive robot for convenient delivery in indoor environments. We develop the
robot by employing NVIDIA Jetson Nano and LIght Detection and Ranging
(LiDAR) on the Kobuki robot. The robot processes the environment data obtained
from the LiDAR using Simultaneous Localization and Mapping (SLAM)
algorithm to create a map and perform navigation to the destination. We employ
Adaptive Monte Carlo Localization (AMCL) to specify the robot’s location on
the map. While proceeding to the target, the robot senses the environment using
the LiDAR sensor and Dynamic Window Approach (DWA) to avoid collision
with any obstacles. The initial results show that the assistive robot can reach the
destination accurately with error equal to 0.2 meters.
Keywords: Adaptive Monte Carlo Localization, Dynamic Window Approach,
Lidar, Robot, Simultaneous Localization and Mapping

- 13 -

Trashy : an IoT - based smart recycling bin system

Suphawinee Buathong, Pimphan Sanruangdech, Kwanchnok Panuaksuk and Chantri Polprasert *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Recently, waste management is one of the biggest problems encountered by
many countries. Improper waste management leads to many ensuing problems
for society such as health issues due to germs and global warming. One possible
solution to alleviate this problem is to properly classify the type of garbage and
handle each type efficiently. In this project, we propose ‘Trashy’ (an IoT - based
smart recycling bin system) , an intelligent waste classification bin that can
accurately and automatically classify trash into 4 types: glass, metal, plastic and
others. We employ Raspberry Pi4 (RPi4) as the main processor to control the
overall system. The bin utilized visual information to classify garbage where a
deep learning model called Resnet50 (Residual neural network 50) is employed.
Once the type of garbage is decided, RPi4 controls a motor to send the trash into
the appropriate bin type. The trash employs Ultrasonic sensor to measure the
level of trash in the bin and informs responsible authorities through line
messenger to pick up the trash. All trash information is stored in cloud database
for further analysis. Our model yields 98% classification accuracy and takes
approximately 5 - 6 seconds to analyze each image.
Keyword: Bin, Recycling, Resnet50, Raspberry Pi4, Ultrasonic sensor

- 14 -

A web application for Crime Network Analysis using thai news

Kachapat Buakhaw, Ratiphab Chinnarath, Pongsakorn Khamnueng and Supphachai Thaicharoen *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Building and visualizing relationships among members in a criminal community
using a social graph in combination with the principle of social network analysis
could facilitate law enforcement officers to gain better insight of criminal social
network structures. In addition to official information from a criminal investigation
process by government agencies, another potential source of data for developing
a criminal social graph is from public news data. To explore this area of studies,
in this paper, a Web application for criminal social network analyses from news
stories using social graphs is developed. The application consists of two modules,
text mining and graph analysis. In the text mining module, a collection of criminal
news stories was collected. In each news document, names of organization,
person, and event are manually tagged by using Doccano. The tagged news
collection was next used as a training corpus to build a Conditional Random
Fields (CRF) model for tagging more news documents. Finally, possible
relationships among those tagged criminal-related entities were extracted and
mined. In the graph analysis module, those mined relationships are fed into
NetworkX by which social network graphs are constructed. Then, the social
graphs are displayed on a Web application for visualizations and analyses using
Django. The exploratory result confirms that relationships among the entities can
be extracted from textual news data from which criminal social networks can be
constructed.
Keyword: Social graph,Social Network Analysis(SNA), News,Graphanalysis,
Conditional Random Fields(CRF), NetworkX,Django, Text mining

- 15 -

Automatic system for detecting fake news on Twitter

Bunpot Darawankul, Noppasin Tanthuwanit, Naris Taku and Werayuth Charoenruengkit *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

This research aims to develop fake news detection for Twitter using text analysis,
sentiment analysis, and domain credibility by developing 4 modules. All modules
implement Long Short Term Memory (LSTM) to train data into a classification
model. The first module is to create the LSTM model for rumour detection by
using Natural Language Processing (NLP) technique to create features
implementing Word2Vec, Sentiment Analysis, Part of Speech, and Term
Frequency Inverse Document Frequency (TD-IDF). The results from the LSTM
model achieve 86.18% accuracy. The second module is gathering data for
tracking the tweets and replies from twitter in order to analyze them for the next
module. The third module creates a LSTM model to classify the opinion direction
on twitter such as supporting, denying or questioning, which is used as a feature
in the fake news detection model. The fourth module is to create a LSTM model
to detect fake news. Using features from the 3rd module with the feature from the
source tweet. The classification results are obtained from the combination of all
models of the 1st module, 3rd module and 4th module using Multitask-Learning
Keywords: Long Short Term Memory, Natural Language Processing, Word2Vec,
Sentiment Analysis, Part of Speech, Term Frequency Inverse Document Frequency,
Multitask-Learning

- 16 -

A development of face identification system with IoT and NDID
platform

Nontagorn Chuaykird, Pemika Chanjirapat, Pattapol Poltha and Sophon Mongkolluksamee *
Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Identifying people with their digital identity is very important in the digital era.
It would facilitate and deliver more secure while doing any digital transaction.
Therefore, in this project, we developed a prototype of a digital facial identification
system. We adopt the Internet of Things (IoT) technology and NDID, which is an
open-source digital identity verification platform, to create the prototype in the
form of a web application. The prototype is applied in a scenario of verifying
guests with their face before allowing them to enter or access services of a
condominium by a room owner. Guests present at a camera of an IoT device. The
feature vector of their face is extracted and passed to the third party that connected
to the NDID platform to verify the guests. The identification result is used to
permit the guests to enter or access the services of the condominium. The
experimental result presents that the prototype can provide fast identification and
give an accuracy of 0.8.
Keywords: Digital ID, Face Identification, IoT

- 17 -

Real-time water quality monitoring system with Internet of
Things technology and data analytics.

Peerapat Dechathitirat, Phanuwich Phumee, Juralux Lomwongpaibool and
Supphachai Thaicharoen *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Saensaeb canal has been one of the main travel directions to work in Bangkok,
Thailand. The quality of water in the canal is occasionally so poor that it can
pose a health risk to passengers in a passenger boat. A lack of information
regarding the quality of water in the canal could be a reason that most people
seem not aware of the danger of polluted water yet. As a result, in order to
provide accessible water quality information, this paper presents a real-time
water quality monitoring system based on IoT technology and a big data
platform. The system consists of a set of sensors, Lora wireless network
modules, and a big data cluster built from four Raspberry pi 4B boards. Four
water quality parameters, temperature, dissolved oxygen, pH, and turbidity, are
measured on-site by the sensors. Then, the sensor data is sent back to a big data
center through Lora wireless network modules for determining whether the
water is of good quality. A water quality classification model is constructed by a
Random-Forest algorithm using a data set from Pollution Control Department,
Thailand as training and test sets. Q-value normalizations are performed and
standard WQI values are computed from parameter data provided in the data
set. The experimental results are very satisfactory. The proposed system can be
used to monitor in real-time and specify water quality with the accuracy above
90%.

Keywords: Big data platform, Canal in Bangkok, Classification model, IoT,
Water quality

- 18 -

Detecting smokers in non-smoking area using intelligent
surveillance camera

Jannarong Sittisupapong, Kornranat Vorawatjirapak, Pongsapon A-nong and Vera Sa-ing *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

The smokers are in the non-smoking areas in Thailand that the data collection
shows the increasing number of smoking offenders. Despite there is an area where
smoking is allowed, as there are no strict smoking checks. There are many
researches proposed to install smoke sensors for detecting the smoker in the non-
smoking area. However, the sensors must detect so much smoke to alert. This
system is unsuitable to detect smoking habits. So, this research proposed the new
system to detect the smoker in the non-smoking area by using an intelligent
surveillance camera system. The proposed system will detect the human face that
appears in the non-smoking area to track the smoking habit. Then this system will
check the amount of smoke near the face that occurs quickly from smoking to
identify the smoking habit. The experimental results show the proposed system
that can correctly detect smoking in the non-smoking areas. In addition, the
proposed system can record the offender's face information. Therefore, the
proposed intelligent surveillance camera system can effectively detect smoking
habits in non-smoking areas.
Keywords: Detecting Smoker, Smoking, Non-Smoking Area, Surveillance
Camera

- 19 -

Realtime face recognition system using one-shot learning technique

Worakrit Chartboonkerd, Natdanai Chaiyakan, Arnada Jamnong and Sirisup Laohakiat *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

This study aims at developing a real-time face recognition system without pre-
registered face data. The system performs real-time face registration and
recognition. When a person enters the system, his face is detected and processed.
If a new face is detected the system perform face registration process in which
the identity of the new person is created and the image and related data of the
person is collected. If the face of a person is already in the database, the system
will update the information of the current visit. Without the pre-register process,
we use one-shot learning techniques for mapping faces to feature vectors. The
system uses machine learning algorithm to make inference whether the detected
face is already kept in the database, or a new face is detected. The proposed
system can be applied to a wide range of applications including customer services
and security system.
Keywords: Face Detection, Face Recognition, One-Shot Learning technique

- 20 -

Forecasting gold price time series

Kijpmarn Engkapawastr,Kornkanok Komvipark and Sirisup Laohakiat *
Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Gold is the precious metal. It has an important role in economy. The price of gold
is one of indicators of economy. If we can predict the price, it will benefit for
studying and prediction economic state. This study focuses on Gold prediction by
using model for Time series data. It also uses another economic indicator such as
oil or another precious metal by using data analysis in other to find another
indicator for increase the performances of each model. Both linear model such as
ARIMA and SARIMA model and neural network LSTM for predict gold price
and test accuracy by compare predicted gold price with the latest gold price to
find out the best performance model.
Keywords: Prediction, Time series, Gold price, ARIMA, SARIMA, LSTM

- 21 -

Factors affecting usage selection of GET application for order foods

Chavisa Sridraun, Jaratrawi Boonyong, Nipawan Suntonwipak, Parinda Aiawsiwikul and
Sukanya Intarapak *
Department of Mathematics, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

The purpose of this research is to study factors affecting usage selection of GET
application for order foods. Two hundred consumers used to GET application for
order foods around Srinakharinwirot University, Bangkok are sample by using the
questionnaire for collecting data of this research. The statistical analysis method is
Poisson regression. The result shows that 5 factors affecting usage selection of
GET application for order foods are age, average monthly income, food cost,
delivery cost, and marketing satisfaction.
Keywords: Average monthly income, Delivery cost, GET application

- 22 -

Forecasting processed fruit and canned fruit export volumes

Kanlayanee Saetang, Kununya Ruanruen, Phannipha Meemool, Araya Thongkaew and
Raweewan Ngamsuntikul *
Department of Mathematics, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

The objective of this research was to construct the most suitable forecasting
model for processed fruit and canned fruit export volumes. The export
volume was gathered from Information and Communication Technology
Center, Office of the Permanent Secretary, Ministry of Commerce from January
2007 to December 2019(156 values). The first part was applied for constructing
the forecasting model by two methods consisting of decomposition and the
Box-Jenkins method. The second part was used for comparing the accuracy of
the forecasts by mean square error (MSE) and considering the mean absolute
percentage error (MAPE). The results have been shown that Box-Jenkins is the
best method to predict processed fruit and canned fruit export volumes with the
lower MSE and MAPE. The appropriate forecasting model is an ARIMA (1,1,2)
x SMA (1)12. The equation for the amount of exports of processed fruit and
canned fruit is (1 + 0.767 )(1 − ) = (1 + 0.290 − 0.596 2)(1 + 0.360 12)
Keywords: Box-Jenkins, Canned fruit, Decomposition, Export volume,
Processed fruit

- 23 -

Forecasting the amount of water in Lam Pra Pleng dam

Nammon Boontaveebunjong, Phanupong Nuangjagjo, Pomporn Sankaew,
Sirirat Lertcharoenyong and Sukanya Intarapak *
Department of Mathematics, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

The objective of this research is to study prediction of the amount of water in
Lam Pra Pleng dam in Pak Thong Chai district, Nakhon Ratchasima province.
The data gathered from the Thai water website from January 2013 to December
2019 of 96 values are used and divided data into 2 groups. The first group has 84
values from January 2013 to December 2018 for constructing the forecasting
models by Box-Jenkins, Winters’ additive exponential smoothing and Winters’
multiplicative exponential smoothing methods. The second group has 12 values
from January to December 2019 for comparing accuracy of the forecasts model
with using the criterion of the lowest Mean Absolute Deviation (MAD) and Mean
Absolute Percentage Error (MAPE). The results show that Winters’
multiplicative exponential smoothing method is the most accurate and has the
lowest MAD and MAPE of 12.482 and 0.3938, respectively.
Keywords: Box-Jenkins, Winters’ additive exponential smoothing method,
Winters’ multiplicative exponential smoothing method

- 24 -

Price forecasting for long-grain Sanpatong glutinous rice-10%

Artitaya Ekpradit, Natchanapa Aimteesud, Nicharee Chumek, Apisit Watthanawoot and
Raweewan Ngamsuntikul *
Department of Mathematics, Faculty of Science. Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

This research was conducted to create a price forecasting for long-grain
Sanpatong glutinous rice-10%, as well as to forecast the price of long-grain
Sanpatong glutinous rice-10% from January to December 2020, using the Box-
Jinkins and Smoothing Holt methods. According to Department of Internal Trade
under the Ministry of Commerce, wholesale and retail prices of agricultural
products from January 2005 to December 2019 are separated into two sets of data.
The first set of data ranging from January 2005 to December 2017 is used to
create the equation of price forecasting, while the second set of data ranging from
January 2018 to December 2019 is used to examine the accuracy of the
forecasting equation from the first set of data by considering Mean Absolute
Percent Error (MAPE). From the research study, the ARIMA (0,1,1) model is
suitable for this time series and is more accurate in forecasting the price of long-
grain Sanpatong glutinous rice-10% than Smoothing Holt method.
Keywords: Box-Jenkins method, Long-grain Sanpatong glutinous rice-10%,
Mean Absolute Percent Error, Smoothing Holt method

- 25 -

Perspective of working people in Asoke on not having children

Wassana Meejaroen, Jeeranun Rattanapornmongkol, Kingkarn Wiranja, Siras Suphasartsin
and Karnchana Panichakarn *
Department of Mathematics, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

This paper aims to study the perspective of working people in Asoke on not
having children. Data is collected from 100 surveys, using Kolmogorov-Smirnov,
Mann-Whitney test, and Kruskal Wallis test. Results show that 64 percent of
respondents are female, 41 percent are age between 26 – 39 years old, 70 percent
are single, 73 percent have a bachelor degree, 62 percent are private company
employee, 52 percent have an average monthly salary of 15,000 – 30,000 THB,
and 54 percent want to have children. A factor that affects the sample group
perspective are problems associated with having a child such as high expense of
raising a child, the need for freedom in life, career goal, and negative influence
from society. Female respondents that do not want children to share the view that
their children might be harm and misbehave, having children is costly, wants to
have a successful career. Furthermore, female respondents prefer contraception
to more than male respondents. Female respondents that want to have children
agree that they want freedom in life and having a child is costly. When taking
monthly salary into account, those with low and income share the same view but
have a different opinion on having a child. Those who want children share that
same view about current social issues such as the lack of policy to support
pregnant women in workplaces as well as personal issues. However, the desire to
have a child remains unaffected.
Keywords: Perspective, Working people, No children

- 26 -

Bioactive compounds from Vernonia amydalina

Manthana Sueto, Supakorn Ratchamungkul and Maneekarn Namsa-aid *
Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Vernonia amygdalina, commonly known as bitter leaf, is a plant with various
medicinal properties. Previous studies have reported that leaves extracts of
Vernonia amygdalina have shown anticencer, antimicrobial, antibacterial and
antioxidant activities. In this work, we studied the isolation of methanol extract of
leaves of Vernonia amygdalina by chromatographic technique. The methanol
extract of leaves of Vernonia amygdalina resulted in the isolation of compound A.
The structure of compound A would be elucidated by NMR spectroscopy.
Keywords: Vernonia amygdalina, Natural products, Chromatographic
technique

- 27 -

Development of reversed-phase paper chromatography for
semiquantitative analysis of food coloring

Neelubon Janthachoom, Rachaya Wannarat and Piyada Jittangprasert *
Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email : [email protected]

Paper chromatography is one of separation techniques used to separate mixture
of chemical substances into its individual compounds. Normal-phase paper
chromatography technique is commonly applied for qualitative analysis using
unsafe organic solvent as a mobile phase. In this work, the reversed-phase paper
chromatography was developed using oil-impregnated filter paper as a stationary
phase and mixture of water and methanol as a greener mobile phase. Under
optimum condition, Whatman no.1 filter paper was impregnated with oil solution
containing of palm oil and n-hexane (1:12 (v/v)) as a stationary phase. The
separation of food coloring, namely azorubine, brilliant blue FCF and tartrazine,
was carried out using 15% methanol in water as a mobile phase. The results
showed that the Rf values of brilliant blue FCF, tartrazine and azorubine were
0.94, 0.88 and 0.75, respectively. The precisions of Rf values in term of relative
standard deviation (RSD) values were less than 5.0%. Moreover, the Rf values of
each food coloring were not affected by duration of oil-impregnated filter paper
storage within 2 weeks. The proposed method was applicable for semiquantitative
analysis of food coloring in soft drink. Solution of sample was spotted along with
standard solution with known concentration. Both color images were taken with
a smartphone and analyzed the color intensity with imageJ software.

Keywords: Paper chromatography, Reversed-phase chromatography, Food
coloring, Semiquantitative

- 28 -

Synthesis of piperine derivatives for insecticide

Chanakarn Somchaipeng, Natthathida Soithong and Kulvadee Dolsophon *
Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

The spider mite, oriental armyworm and diamondback moth are harmful to
crops (e.g., corn, shallot, cabbage, etc.). Currently, synthetic chemical
insecticides have played a significant role in modern agricultural pest
management. Repeat application of those agrochemicals over the years has led
to the development of resistance in insect pest populations and environmental
problems. In previous research, pyrazoline derivatives, which are synthesized
from piperine (3), showed insecticidal activity. This research aims to design and
synthesis of new pyrazoline derivatives 1 from piperine (3) for insecticide. From
the retrosynthesis, pyrazoline derivatives 1 started with Michael addition
reaction of piperine by using hydrazine. Purification followed by characterization
of the synthesized compounds will be investigated.

Keywords: Piperine, Michael addition reaction, Pyrazoline

- 29 -

Quality analysis of fruit syrup

Kanchanaporn Eiamla-or, Pattraporn Deepoon and Suchao Donpudsa *
Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Fruit syrup is fermentation of concentrated fruit, characteristics of fruit syrup is
sticky, concentrated, fruit scent, clear or turbid and also long lifespan because of
high concentration of sugar. Syrup can be used in many food products as
sweetener, scent and flavor enhancer. Moreover, syrup can be used as the
decoration on food product for customer’s attraction. Researcher selected 2 fruits
including cantaloupe and muskmelon which consist of vitamins A, C, E, B1, B2,
and B3, phosphorus, calcium, potassium, carbohydrate and iron. This study aims
to compare quality of white sugar muskmelon syrup, brown sugar muskmelon
syrup, white sugar cantaloupe syrup and brown sugar cantaloupe syrup. Syrup
traditionally prepared, ferment the syrup for 14 days and further analyzed total
sugar, total acid, reduced sugar, pH and heating by microwave radiation. The
result found that total sugar is 81-105 mg/ml, reduced sugar is 32.85-75 mg/ml
and pH around 3.34-3.84.
Keywords: Fruit syrup, Microwave radiation

- 30 -

Bioactive compounds from Vernonia amygdalina

Pattaravadee Ruksapai, Sirikarn Phuengphan and Maneekarn Namsa-aid *
Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Vernonia amygdalina is widely used in nutrition and medicine. Vernonia
amygdalina has a various of biological activities, which has previously been
reported, such as antimicrobial, antibacterial, antioxidant, lower blood sugar
levels, anticancer and antimalarial. In this work, we studied the isolation of
EtOAc and hexane extracts from leaves of Vernonia amygdalina. EtOAc and
hexane extracts were isolated by column chromatography technique. Isolation of
Hexane extract gave compound A. Compound B was purified from
EtOAc extract. Pure compounds would be elucidated by NMR spectroscopy.
Keyword: Vernonia amygdalina, Natural products, Column chromatography

- 31 -

Development of microfluidic paper based analytical device for
sugar detection

Sirinat Chalkual, Kanyarat Tanawet and Nuanlaor Ratanawimarnwong *
Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Carbohydrates are the main source of energy that body uses for daily activities.
Carbohydrates can be found in various types of food such as starchy foods,
sugars, and dietary fibers. Nowadays sugar or sweeteners are popularly added to
beverages and foods to enhance flavor. However, consuming too much sugar can
cause disadvantage health effects, for example obesity and diabetes which
resulted in high medical expenses. In this work, the analysis of sugar content in
food and beverage products was developed based on microfluidic paper based
analytical device (PAD). The hydrophobic pattern as a dumbbell-shape was
fabricated on a filter paper using a stamping method. The sample and reagent
solutions were dropped into the hydrophilic area inside the dumbbell to conduct
the analysis. Optimization of various factors affecting the analysis was carried
out. It was found that the optimum concentration of Benedict solution was 0.201
M. The optimum volume of glucose and Benedict solution were 8 and 15 μl,
respectively. Flowing time of 2 minutes and boiling time of 1 minute were
employed. Calibration curve was constructed between the ratio of the red to the
blue intensity and concentration of glucose. Working range of the method was
from 1 - 10% (w / v). Good coefficient of determination (r2) of 0.99 was also
achieved.
Keyword: Glucose, Benedict test, PADs

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Qualifying an efficient phenolic extraction method from
Sugarcane Khon Kane 3 (KK3)

Pattranit Siriviboonchote, Suwajee Suwanprapa and Chatchadaporn Pinthong *
Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Sugarcane Khon Kaen 3 (KK3) species is growth in the Northeast of Thailand. In
general, sugarcane is harvested to make sugar and additive sugar but in this
research interested in KK3 tolerance species because resistance to drought
conditions. Therefore, a physical property of this species was investigated by
qualifying an efficient extraction method to isolate phenolic compounds from
KK3 tolerance species. The experiments were designed to compare between the
autoclave and sonication methods, including vary the temperature and the
solvent. The results showed that the autoclave method had percent recovery better
than sonication at 121°C and the appropriated solvent was H2O: EtOH (1:1).
Therefore, this research can conclude that using autoclave method is suitable for
phenolic compounds extraction from KK3 tolerance.
Keywords: Sugarcane Khon Kaen 3, Phenolic compound, Autoclave,
Sonication

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Colorimetric sensor for quantitative detection of ammonium ion

Jiranan Sunthornsan, Nattida Chaowalit and Panarat Arunrattiyakorn *
Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Hyphodermins, a novel class of naphtho[1,2-c]furan-3,9-diones, were isolated
from a culture of Basidiomycete Hyphoderma radula. Biological studies
identified these metabolites as being potential drug leads for the treatment and
prophylaxis of asthma, chronic bronchitis, as well as heart and CNS illnesses. By
our previous data, we found that these compounds could react with various
amines to produce products in various colors. In this study, we aim to develop the
colorimetric sensor for detection of ammonium ion based on the reaction with
hyphodermin B. The reaction was done in 96 well plate in the final reaction
volume of 200 microliters. To quantify of ammonium ion, a digital image of the
reaction in plate is recorded and the ratio of the red/green (R/G) intensity
obtained using the ImageJ™ program. The standard curve is constructed using
the ammonium ion concentrations of 0, 0.1, 10, 100, 500, and 1000 mg L−1. Good
linearity was achieved (r2˃0.9) in the range of 100 – 1,000 mg L−1. The colorimetric
biosensor technique is easily, fast and can be applied to detect other amino
compounds.
Keywords: Hyphodermins, Hyphodermin B, Hyphoderma radula, Amines,
ImageJ, Colorimetric sensor

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Development of fluorescent unnatural amino acids for protein study

Tanatip Chaloeigate, Mooktapa Wongnukoon and Itthipol Sungwienwong *
Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

The unnatural amino acid (UAA) mutagenesis can be used to incorporate
fluorescent probes into proteins. Acridonylalanine (Acd) is a fluorescent UAA
which can be used as a fluorophore for studying proteins by fluorescence
spectroscopy. In this study, we focus on the design of novel fluorescent UAA
based on Acd structure by using computational study. The incorporation
efficiency depends on the interaction between the amino acid and aminoacyl
tRNA synthetase (aaRS) enzyme. Therefore, we use Gaussview 5.0 program to
study the interaction between Acd aaRS enzyme (PDB: 4PBR) and unnatural
amino acid derivatives which have been designed by varying substituents on Acd
core. The electronic effects (EWG and EDG), positional effect, and π-system
extension are compared with Acd based on the binding energy and number of
conformations (NOC). The docking results showed that the best three derivatives
of Acd are 1-NH2-Acd, Benzo-Acd and 4-NO2-Acd because these amino acids
have lower binding energy than Acd and had a higher NOC. These results
suggested that we can use these amino acid derivative for in vivo incorporation
into proteins using Acd aaRS enzyme.
Keywords: Fluorescence Spectroscopy, Gaussian, Unnatural Amino Acid

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Bioconversion of polystyrene to polyhydroxyalkanoate(s)

Phenpitcha Sinthuchai, Poomin Jimkratoke and Panarat Arunrattiyakorn *
Department of Chemistry, Faculty of Science, Srinakharinwirot University, Bangkok, 10110
* Project Advisor Email: [email protected]

Polystyrene (PS) is commodity plastics that are extensively used in packaging
and other applications. The ultimate fate of such packaging material is municipal
of solid waste. Microorganisms play a key role in the biodegradation of various
polymers in the environment. They convert long chains of polymers into smaller
ones and then subsequently into small molecules. In our previous studies, 25
isolated bacterial were obtained from the gut of mealworms (the larvae of
Tenebrio molitor Linnaeus). The aim of the present study was to investigate
these bacterial abilities for PS degradation as well as the bioplastic,
polyhydroxyalkanoates (PHAs) production. Each isolated bacterial was cultivated
in liquid carbon-free basal medium (LCFBM) supplemented with a small piece of
PS at 120 rpm and room temperature. After 30 days of incubation, the bacterial
cultures were centrifuged to separate pellet of cells and supernatant. The
supernatant was filtered and extracted with ethyl acetate. These extracts were
analyzed for the present of 1-phenyl-1,2-ethanediol, an intermediate for PS
degradation, by using HPLC. While the pellet of cells were extracted and
analyzed for the present of PHAs by using FTIR technique.
Keywords: Polystyrene, Biodegradable, Liquid carbon-free basal medium,
Fourier transform infrared, High pressure liquid chromatography

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