Publisher: Mahasarakham Rajabhat University (Total: 4 journals)   [Sort by number of followers]

Showing 1 - 4 of 4 Journals sorted alphabetically
Chophayom J.     Open Access  
J. of Applied Informatics and Technology     Open Access  
J. of Architecture, Design and Construction     Open Access   (Followers: 1)
J. of Educational Measurement Mahasarakham University     Open Access  
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Journal of Applied Informatics and Technology
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2630-094X - ISSN (Online) 2586-8136
Published by Mahasarakham Rajabhat University Homepage  [4 journals]
  • Journal of Applied Informatics and Technology (Full Version)

    • Authors: Journal of Applied Informatics; Technology
      Abstract: วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์เป็นวารสารที่มีระบบการประเมินคุณภาพบทความด้วยผู้ทรงคุณวุฒิและเผยแพร่บทความแบบเปิด ซึ่งทุกคนสามารถเข้าถึงได้ วารสารนี้มีวัตถุประสงค์เพื่อเป็นแหล่งเผยแพร่ผลงานวิจัยและวิชาการทั้งแนวทฤษฎีและการประยุกต์ใช้วิทยาการสารสนเทศและเทคโนโลยีรวมไปถึงหัวข้ออื่นที่เกี่ยวข้องกับเทคโนโลยีสารสนเทศ วิทยาการคอมพิวเตอร์ วิทยาการข้อมูล ภูมิสารสนเทศ สารสนเทศศาสตร์และการสื่อสารมวลชน สารบัญ บทความวิจัยด้านภูมิสารสนเทศ
      - การเปรียบเทียบดัชนีน้ำแบบ NDWI, MNDWI1 และ MNDWI2 จากข้อมูลภาพถ่ายดาวเทียม Sentinel-2 สำหรับสกัดพื้นที่แหล่งน้ำผิวดิน บริเวณตัวเมือง จังหวัดขอนแก่น
      - การประเมินความยั่งยืนเชิงเปรียบเทียบระหว่างระบบสวนทุเรียนพื้นเมืองแบบวนเกษตรและสวนทุเรียนผสมเชิงพาณิชย์บริเวณพื้นที่ต้นน้ำ ตำบลบ้านด่านนาขาม จังหวัดอุตรดิตถ์
      - การประเมินความแม่นยำของตำแหน่งจาก Google Earth โดยการรังวัดด้วยระบบโครงข่ายดาวเทียม จีเอ็นเอสเอสแบบจลน์ในทันที กรณีศึกษา: จังหวัดมหาสารคาม
      บทความวิจัยด้านเทคโนโ&...
      PubDate: 2022-09-11
      Issue No: Vol. 4, No. 1 (2022)
       
  • Journal of Applied Informatics and Technology

    • Authors: Journal of Applied Informatics; Technology
      Abstract: Journal of Applied Informatics and Technolgy (JIT) is a peer-reviewed and open-access journal that aims to publish leading edge researches on any possible topic in informatics, technology, and other related areas, both from theoretical and empirical perspectives. Topics of interest include, but are not limited to, the following: information technology, computing science, data science, geo-informatics, information science and management, and communication arts.   Research Articles in Geoinformatics
      - Comparison of NDWI, MNDWI1 and MNDWI2 Indices from Sentinel-2 Satellite Images for Extracting Urban Surface Water Bodies in Khon Kaen
      - A Comparative Sustainable Assessment between Native Durian-Based Agroforestry System and Commercial Durian-Based Mixed Orchard in the Upstream of Ban Dan Na Kham Sub-district, Uttaradit Province
      - Positional Accuracy Evaluation of Google Earth using RTK GNSS Network Surveying Case Study: Mahasarakham Province Research Article in Information Technology and Computer Science
      - Development of Smart Circuit Breakers to Prevent Fire from Short Circuit Current
      - Developing the Warehouse Management Online System
      - Analysis of Lime Leaf Disease using Deep Learning
      PubDate: 2022-06-23
      Issue No: Vol. 4, No. 1 (2022)
       
  • Developing the Warehouse Management Online System

    • Authors: Sanyanupap Namwong, Jaree Thongkham
      First page: 62
      Abstract: This research aims to develop the warehouse management online system for Profarm Limited Partnership. This system can manage stock of product in the warehouse , debtors and creditors. PHP and HTML used to develop the web application and MySQL is used to store the data. Not only Black-box testing are used to evaluate the performance of this system but also  5-level assessment form to assess satisfaction of the population are employed. The experiment results showed that this system can perform well in all functions with a good level of user satisfaction.
      PubDate: 2022-03-02
      DOI: 10.14456/jait.2022.5
      Issue No: Vol. 4, No. 1 (2022)
       
  • Analysis of Lime Leaf Disease using Deep Learning

    • Authors: Umaporn Saisangchan, Rapeeporn Chamchong, Atthapol Suwannasa
      First page: 71
      Abstract: Currently, lime is a type of plant that has been cultivated in many places. Because limes are used in cooking, and their properties are herb. In Thailand, limes are used for drinking and medical herb to used in health care. From this popularity, the cultivation of limes became widespread and began to be planted more in farm and more at home. Nowadays, lime cultivation can be controlled to produce off-season produce. However, lime is also prone to diseases without proper care. For these reasons, this research is to study the analyzation of decease from lime leaves by using deep learning. The Convolutional Neural Networks (CNNs) of deep learning is used to classify the decease. The proposed architecture of CNNs in this study is to compare to LeNet-5, VGG16, and RestNet-50 architectures. The total number of single lime leaf images is 5,710. The input images are RGB color. The normal and decease lime leaves are separated in equal. Training and test sets are 80 and 20 percent, respectively. The evaluation result is found that LeNet-5 has the lowest accuracy, while the proposed architecture has the highest accuracy but it is not different from ResNet-50.
      PubDate: 2022-05-11
      DOI: 10.14456/jait.2022.6
      Issue No: Vol. 4, No. 1 (2022)
       
  • Comparison of NDWI and MNDWI Indices for the Extraction of Surface Water
           Bodies in the City of Khon Kaen

    • Authors: Chaiyarit Sawetwong, Pipat Reungsang
      First page: 1
      Abstract: The objective of this research is to compare methods for determining the Normalized Difference Water Index (NDWI) and the Modified Normalized Difference Water Index (MNDWI) and resistance to urban and urban disturbances. From classification of visual information (Pixel-based) to extract surface water areas from Sentinel-2 satellite imagery. By checking for accuracy with the surface water area dragged the boundary from satellite imagery data from Google Earth found that the ideal Threshold of the NDWI Index is 0.1 and that of the MNDWI index is 0.35. Which is overall accurate at both 0.58, the MNDWI index was more efficient than the NDWI index.
      PubDate: 2021-11-22
      DOI: 10.14456/jait.2022.1
      Issue No: Vol. 4, No. 1 (2021)
       
  • Sustainability Assessment of Native Durian-based Agroforestry System and
           Commercial Durian-based Mixed Orchard

    • Authors: Jaruntorn Boonyanuphap
      First page: 13
      Abstract: The current utilization of resources in the upstream areas of Ban Dan Na Kham, Sub district has changed by agriculturist changing the way of agriculture from a mixed fruit tree–based agroforestry that relies on the balance of nature to be agriculture that focuses on increasing commercial production that requires increasing chemical use in production. This has resulted in the environment impacts and cause of ecosystem degradation. This study aimed to assess the sustainability of the native durian-based agroforestry system compared with the commercial growing durian-based mixed orchard by using 17 sustainability indices. The sustainability indices were chosen and then classified in the basis of the four dimensions of sustainable developments, namely dimensions of household economic, social and cultural dimensions, local policy dimensions and environmental dimensions. The native durian-based agroforestry system has statistically significantly higher numbers of large forest tree and useful plant species, and amount of soil organic matter than the commercial growing durian-based mixed orchard (p<0.05). Assessment of the sustainability level under the current durian garden management system of both systems. In the overall, native durian under agroforestry system indicated a significantly higher percentage of total sustainability than the commercial mixed durian orchard (p=0.024), social and cultural dimensions and the environmental dimensions in particular. The local administrative organization can used this sustainability dataset on both durian-based production systems for planning the effective use of resources in upstream region including creating a public awareness program for the impact of changing agricultural way on the sustainable local development.
      PubDate: 2021-11-10
      DOI: 10.14456/jait.2022.2
      Issue No: Vol. 4, No. 1 (2021)
       
  • Positional Accuracy Evaluation of Google Earth in Mahasarakham Province

    • Authors: Neti Srihanu, Siwa Kaewplang
      First page: 32
      Abstract: This study aims to provide an understanding of the horizontal positional accuracy and Google Earth height compare with Static GNSS surveying. The results showed the RMSE obtained in E, N, Z(EGM96), and Z (TGM2017) were 1.316, 1.331, 3.558, and 4.453 m. respectively with a horizontal error range of -2.834 m to 1.930 m and a vertical error range of -0.673 m to 8.874 m in all 48 measured points. The results show Google Earth cannot provide high accuracy coordinate and the height of google earth is not so sensitive to immediate changes in ground topography.
      PubDate: 2021-11-15
      DOI: 10.14456/jait.2022.3
      Issue No: Vol. 4, No. 1 (2021)
       
  • Development of Smart Circuit Breakers to Prevent Fire from Short Circuit
           Current

    • Authors: Suchart Khummanee, Aekkarach Artcharoen, Peerawat chanobrum
      First page: 48
      Abstract: According to the survey results, the top three causes of fire in Thailand: 1) garbage and hay burning, 2) short-circuit current, and 3) misuse of fuel. In this paper, a prototype innovation for reducing the fire problem caused by short-circuit current has been developed, called Smart Breaker. It has outstanding qualities, including the ability to see (IR and DHT11 Sensor), smell (MQ-2) and sense (PZEM 400T) the cause of a fire. It can also report anomalies from fire detections to property owners' smartphones to let them know before the damage escalates. The smart breaker applies Internet of Things technology (IoT) to develop the prototype. The result obtained from testing the prototype fire detection device shows that the fire detection accuracy is accurate ( = 3.42) or 68.4 percent.
      PubDate: 2021-12-13
      DOI: 10.14456/jait.2022.4
      Issue No: Vol. 4, No. 1 (2021)
       
 
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