Journal of Applied Informatics and Technology

Development of Traceability for a Chemical-Free Vegetables System using a QR Code

2023-09-13T08:59:12+07:00

Farmers at Ban Kaset Jun La Pan require the cultivation of chemical-free vegetables with less pesticides and bio stimulants in order to provide safety for farmers and consumers. An information system was designed and implemented to meet this requirement by taking advantage of a QR code. This system enables traceability of agricultural products, from production to storage. The research objectives were as follows. - 1) to develop traceability of chemical-free vegetables via a QR code system and 2) to evaluate the efficiency of traceability of agricultural products using experts. The system was designed in a way that the administrator had full access to the system, and farmers were given permission to manage their own data. Both smartphones and computers were supported. The consumer could access the stored data using an application that supported a QR code to scan and show the farm’s name, phone number, vegetable profiles, cultivation details, origins of products, and profiles of vegetables in the same batch. The application could then direct consumers to the web application. Evaluation by the experts indicated that the average score was was at the highest level (=4.60, SD=0.51); the system could provide a production data center that meets a variety of user requirements.

Mapping of Literature in the Field of Chemo-informatics

2023-08-03T15:16:52+07:00

Chemo-informatics is a recent development in the field of chemistry. It has helped scientists develop various chemical structures using computers, leading to the solution of some intricate problems in chemistry, including in medical chemistry.

Objective: The mapping of literature in chemo-informatics was performed to reveal publication trends, authorship trends, core journals, and collaborative authors at the national, international, and institutional levels. The annual growth rate revealed the growth pattern of publications. The data of collaboration was visualized using the VOS Viewer tool.

Methodology: The methodology used for this study was citation analysis of the publications downloaded from the SCOPUS database for the years 2017 to 2022. A total of 1425 data items were downloaded based on the keywords used for searching. Out of these 1425 after cleaning the data, only 1,413 citations were used for further study. Out of these 1,413 citations, 13 citations were anonymous so they were also ignored for authorship analysis.

Findings: The findings of the study were that the annual growth rate of publications as shown by the highest number of publications (276) was in 2021 and the lowest 195 (13.80%) in 2018. Articles (65.46%) were the preferred publications by the authors. Multiple author (5 or more) publications show the prevalence of teamwork, which was further substantiated by the Av. Collaboration Index of 4.48; Av. Degree of collaboration was .0926 and Av. collaboration coefficient was .0179. J. Medina-Franco of Universidad Nacional Autónoma de México was the most prolific author with 53 publications during the 5 years of the study period. The Journal of Chemical Information and Modeling headed the list of publications with 48 publications while the Journal of Chemical Education received the highest number of citations (1052). In the list of countries with maximum contribution, the USA headed the list with 327 publications receiving 7735 citations. The international link strength was 211, which iswas revealed by the International Cooperation Index (ICI) of 64.52. China was placed in second place in international collaboration.

All these papers could be only b possible through the use of computers, as the 21st century has allowed the use of computers in general studies which have become precursors to develop various models and theories based on computers. The present study reveals the collaborative nature of research which is very much prevalent nowadays and which can also be seen in the visualization report. The study also reveals that authors are adopting team research and have a wider perspective of their research.

Modeling Deep Feature for Lung Disease Classification in Chest X-ray Images

2023-09-26T18:53:14+07:00

An accurate method of diagnosis is needed as lung disease spreads around the globe. Since the virus spreads so quickly, diagnosing lung disease can be challenging for medical professionals. Accurate diagnosis and treatment are what set clinical diagnosis apart because they typically depend on a doctor's skill and knowledge. This is the most challenging aspect of diagnosing COVID-19 and pneumonia patients. Therefore, for the time being, this technology's major objective is to create a way to detect lung problems early and stop the virus from spreading quickly. This system offers a categorization framework for a challenging image analysis task in the medical field, where chest X-ray images are assessed. The pre-trained Alex Net is utilized to generate the feature map that was taken from the x-ray image. The LSTM model models the extracted feature map to extract a feature vector for a Support Vector Machine (SVM) classifier to categorize lung diseases. In the method of convolutional neural network (CNN) classification, a large number of layers, values, thresholds, and parameters are required to be defined for classification. Since the pre-trained Alex Net is used in our proposed framework, the parameter values for CNN don’t need to be defined, reducing processing time effectively. This paper proposes the modeling of feature maps using LSTM and the application of machine learning techniques gave the accuracy of 98.8% for the categorization of lung diseases in the form of 10-fold cross validation. Three diseases are distinguished in the proposed framework: normal, viral pneumonia, and COVID-19. In experiments, accuracy, true positive, false negative, positive predictive, and false discovery rates are used to evaluate classifier performance.

Development of an Emergency Notification System with GPS Sensors to Analyze Access Routes for Emergency Medical Services using IoT and Open Route Service

2023-08-25T19:13:06+07:00

In present-day society, the occurrence of accidents and emergency illnesses has been consistently increasing, to the point where it has become a significant social issue. The cause is due to the lack of proper and timely medical treatment. The problem arises from the informer stating the location of the emergency caller is not clear or the journey of the ambulance car or emergency rescue vehicle was having problems with congested traffic. As a result, emergency patients suffer physical defects, leading to a reduced chance of survival. This study therefore developed an emergency notification system with positioning sensors and developed a system to find the most suitable route to reach emergency patients via Web Map Application. The goals of this study are 1) creating a Geo-IoT based emergency notification system to track the informant's whereabouts in real time, and 2) To develop a route search system for emergency medical services on Web Map Application and pgRouting. The development of this route search system uses the Free and Open-Source Software for Geospatial (FOSS4G) to develop the entire system. As for searching and analyzing road structures, the researcher used the pgRouting Library to help analyze the shortest path. The result of this study revealed that the developed system can be used to support the work of providing emergency medical services. It helps locate the emergency caller faster than before and improves efficiency in real-time emergency notification. As a result, the whistleblower will receive timely and rapid medical treatment.

Intelligent Fall Alert System for Identification and Fall Detection

2023-04-15T21:00:55+07:00

At present, accidents caused by falls causing loss in the elderly and those living alone. The resulting loss can lead to disability or even death if not treated in time. Therefore, the developers propose a new technique for detecting falls. It uses image processing from IP cameras with MediaPipe and bounding box technology to help fall and gesture detection. And also adds to the identification of the person who was involved in the accident, which uses LBPH technology to know who the accident victim is. As for notifications, Line Notify is used to allow program users to access notifications easily and quickly. The accuracy of the test was 93.1% for identifying faces and 90.5% for detecting falling gestures.

Online Dating for Breeding Cats using Gale-Shapley Algorithm

2023-09-09T12:57:04+07:00

Nowadays, Thais prefer to raise cats is increasing due to changes in their lifestyles influenced by social and economic circumstances. In addition, cats are animals that love cleanliness and are suitable pets for limited living spaces. In recent years, pet services have been developed and offered more through online platforms. Therefore, this research presents an online dating system for cat breeding using the Gale-Shapley algorithm, implemented in an Android application. The experimental results show that the matching algorithm for cat breeding is efficient with a worst-case time complexity of O(n2). The evaluation of the application's quality, as assessed by experts, indicates a high level of satisfaction with an average rating of 4.33. The experimental results demonstrate that this proposed application can be effectively utilized as an online matchmaking tool for cat breeding.

Knee Joint Muscle Measurement Application for Physical Therapy Treatment

2023-04-06T22:21:04+07:00

The knee joint muscle measurement application for physical therapy treatment was developed to aid patients and the elderly with knee problems during the physical therapy session. It was developed in conjunction with a device that has a gyroscope sensor to detect the movement. The signal was then sent to a computer server, while doing physical therapy through a Wi-Fi device, in order to record information about patients and the elderly, including postures used in physical therapy practice, amount of treatment time, degree of leg movement, etc. The software also records the physical therapist's information for inspection and analysis. We tested the device on ten volunteers for satisfaction. The satisfaction test results indicated that people in their 20s were satisfied with the knee joint muscle measurement device for physical therapy, with a satisfaction rating of 3.95.

The Development of Information System for The Management of Materials via QR Code and Line Notify With MVC Framework

2023-10-15T18:38:32+07:00

Implementing information systems within organizations, which are utilized in many aspects of work, including equipment management tasks, is critical to increase efficiency. The purposes of this study are to 1) design and develop an information system using an MVC framework to manage materials and equipment by QR codes and line notifications 2) assess the performance of the information system to handle materials and equipment, and 3) assess satisfaction of the system among users. The research result found that the system development with the RAD method enables the rapid creation and development of information systems and satisfies users' requirements. The system was designed using MVC Framework combined with Bootstrap CSS to generate a web application. The application is responsive to various screen sizes. In addition, the system is also designed to support the management of materials and equipment and facilitate repair notification through QR Code technology. It also includes the capability to notify maintenance status through Line Notify. This makes the tasks related to materials and equipment management more convenient and efficient. The system performance evaluation results by experts were at excellent level, with an average of 4.71. When the application was operationally implemented, the satisfaction was evaluated by a sample group of 50 people. The overall evaluation results were at excellent level, with an average of 4.72, indicating that the developed information system was highly effective.

Journal of Applied Informatics and Technology (Editorial Note)

2024-01-07T21:39:05+07:00

The Journal of Information Science and Applied Technology (JIT) has published a total of 8 articles in Volume 6, No 1 (2024), of which 7 are research articles and one academic article—divided into three articles in English language and another five articles in Thai language. Each article in the journal undergoes a thorough review process, during which the author incorporates feedback from three experts before publication. After reviewing the article, the editorial team checks for the accuracy of content, references, and language usage to ensure completeness. The journal editors would like to thank the reviewers who reviewed the article and provided feedback to the authors. The articles published in this journal are:

Development of Traceability for a Chemical-Free Vegetables System using a QR Code. Authors: Utumporn Sriyom and Pornsin Buangam (Sriyom & Buangam, 2024)
Mapping of Literature in the Field of Chemo-informatics. Authors: Rajani Mishra and Vinod Kumar Gautam (Mishra & Gautam, 2024)
Modeling Deep Feature for Lung Disease Classification in Chest X-ray Images. Authors: Ei Ei Khaing and Thu Zar Aung (Khaing & Aung, 2024)
Development of an Emergency Notification System with GPS Sensors to Analyze Access Routes for Emergency Medical Services using IoT and Open Route Service. Authors: Rhutairat Hataitara, Kampart Piyathamrongchai, and Sittichai Choosumrong (Hataitara, Piyathamrongchai, & Choosumrong, 2024)
Intelligent Fall Alert System for Identification and Fall Detection. Authors: Narote Nilsukhum and Wiyada Yawai (Nilsukhum & Yawai, 2024)
Online Dating for Breeding Cats using Gale-Shapley Algorithm. Authors: Shuchanat Chomphu, Yotsakorn Sakseranee, and Natsima Suradet (Chomphu, Sakseranee, & Suradet, 2024)
Knee Joint Muscle Measurement Application for Physical Therapy Treatment. Authors: Wimonluk Pintusirakun, Raphiphat Netphlap, Tiwa Koson, and Wisan Tangwongcharoen (Pintusirakun et al., 2024)
The Development of Information System for The Management of Materials via QR Code and Line Notify With MVC Framework. Authors: Wisut Petcharat, Taechita Sutthirak, Teerawat Poolphol, Kunwadee Janwichian, Pattanun Atitang, and Waraporn Kanjanaklod (Petcharat et al., 2024)

Assist.Prof. Olarik Surinta, Ph.D.
Editor-in-Chief

Journal of Applied Informatics and Technology (Full Issue)

2024-01-29T23:53:30+07:00

- Development of Traceability for a Chemical-Free Vegetables System using a QR Code (pp. 1-15)
- Mapping of Literature in the Field of Chemo-informatics (pp. 16-32)
- Modeling Deep Feature for Lung Disease Classification in Chest X-ray Images (pp. 33-51)
- Development of an Emergency Notification System with GPS Sensors to Analyze Access Routes for Emergency Medical Services using IoT and Open Route Service (pp. 52-64)
- Intelligent Fall Alert System for Identification and Fall Detection (pp. 65-83)
- Online Dating for Breeding Cats using Gale-Shapley Algorithm (pp. 84-97)
- Knee Joint Muscle Measurement Application for Physical Therapy Treatment (pp. 98-112)
- The Development of Information System for The Management of Materials via QR Code and Line Notify With MVC Framework (pp. 113-131)