Development Web-GIS of Commodity Information System for Agriculture, Establishment and Forestry in Marangkayu District

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Adelia Juli Kardika 1,* Aulia Khoirunnita 2 Salman 3 Saharuddin 3 Indah Muliana 3

1. Forest Management, Polytechnic of Agricultural, Samarinda, Indonesia

2. STMIK Widya Cipa Dharma, Samarinda, Indonesia

3. Software Engineering Technology, Polytechnic of Agricultural, Samarinda, Indonesia

* Corresponding author.


Received: 6 Apr. 2022 / Revised: 11 May 2022 / Accepted: 13 Jun. 2022 / Published: 8 Oct. 2022

Index Terms

Web-Based GIS, Marangkayu, Commodity, Price, location.


Agriculture, Plantation and Forestry Commodities are the main sectors supporting household daily needs and people's income for improving the economy. District of Marangkayu is located in Kutai Kartanegara area, East Kalimantan Province, where geographical condition consists of the terrain of hilly steeps surrounding the lake of Kutai Kartanegara. The geographical contours make the sector of agriculture, plantation and forestry the people's primary choice to meet the needs of household as well as increase the standard of economy of the people. In order to maintain the stability of price and production of agricultural commodities, Commodity Information System is required to provide information of the location, coordinate of positions, area of production, as well as presenting information of prices, price fluctuations and changes, along with a display of information over the accumulation of agricultural commodity production of the Kutai Kartanegara area, with additional features of appropriate distribution and production thereof. Therefore, it is necessary to develop the Web-Based Geographic Information System (GIS) for Agricultural Commodity, Plantation and Forestry of Marangkayu Area. GIS application is built using the Rapid Application Development (RAD) method, which consists of the phase of Requirements planning, User design phase, Construction phase and Cut-over phase. Database for the implementation uses PostgreSQL and PostGIS extensions. Programming language uses PHP, JavaScript, and HTML. The interface implementation is built using Bootstrap. The testing of the application uses the Black box testing method. The results of the test show that the Web-Based GIS Application has met the needs of the requirement system and the problems.

Cite This Paper

Adelia Juli Kardika, Aulia Khoirunnita, Salman, Saharuddin, Indah Muliana, "Development Web-GIS of Commodity Information System for Agriculture, Establishment and Forestry in Marangkayu District", International Journal of Education and Management Engineering (IJEME), Vol.12, No.5, pp. 1-8, 2022. DOI:10.5815/ijeme.2022.05.01


[1]Central Bureau of Statistics of Maninjau Regency, “Tanjung Raya District in Figures 2016”, 2016.

[2]UPT. BP4K2P Tanjung Raya District, "The 2017 UPT BP4K2P Extension Program for Tanjung Raya District",2017.

[3]Zainuddin, M, “Geographic Information System Applications in Fisheries and Marine Research. Paper, presented at the Workshop on the AP II COREM Research Agenda in Selayar District”, 2014.

[4]Fernando, E, “Geographical Information System for Mapping Health Places in Jambi City”, 2012.

[5]uban, O, “Mobile Web Geographic Information System (Webgis) Application for Tourism in Rote Ndao District”, 2014.

[6]PostgreSQL, About PostgreSQL., 2016.

[7]Kundyanirum, “Semarang City Tourism Geographic Information System. Computer Systems Engineering”, 2013.

[8]Syukur, M, “Development of Space-Based Information Technology and Systems with GIS Concepts”, Faculty of Engineering, Andalas University, 2011.

[9]Republic of Indonesia, Law of the Republic of Indonesia Number 16 of 2006 concerning Agricultural, Fisheries and Forestry Extension System (SP3K).

[10]Republic of Indonesia, Law of the Republic of Indonesia Number 8 of 2004 concerning plantations.

[11]Republic of Indonesia, Law of the Republic of Indonesia Number 10 of 2011 concerning Futures and Commodity Trading.

[12]Pugas, D.O., Somantri, M. and Satoto, K.I, “Searching the Shortest Route Using Dijkstra and Astar Algorithms (A*) in Web-Based GIS for Tourism Mapping in Sawahlunto City”, 2011.

[13]Agrawal, S. & Rajan, D.G., 2014. Development And Comparison Of Open Source Based Web Gis Frameworks On Wamp And Apache Tomcat Web Servers. the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,p.14 – 16.

[14]Amarsaikhan et al., 2016. Opensource-Based and Propietary Web-GIS Systems. Mongolian Academy of Sciences.

[15]esri, 2019. Architecting the ArcGIS Platform. New York: an Esri white paper.

[16]Grazia, C. et al., 2016. A Webgis Framework For Disseminating Processed A Webgis Framework For Disseminating Processed. Geodesy and Geoinformatics, pp.27-38.

[17]Jayakumar, K. & Malarvannan, S., 2015. A WebGIS based Decision Support System for Land Use and Land Cover Changes: A Case Study of Tiruvallur Block, Tiruvallur Cover Changes: A Case Study of Tiruvallur Block, Tiruvallur. International Journal of Earth Sciences and Engineering, pp.1892-98.

[18]Abdalla, R. (2009b). Distributed GIS approach for flood risk assessment. International Journal On Advances in Security, 2, 7.

[19]Abdalla, R., & Niall, K. (2009, 1e7 Feb. 2009). WebGIS-based flood emergency management scenario. Paper presented at the 2009 International Conference on Advanced Geographic Information Systems & Web Services Cancun, Mexico.

[20]Trung, L.V. & Dao Minh, T., 2018. Web GIS Solution for Monitoring the Forest-Cover in the Mekong Delta, Vietnam. Scientific Reseach Publishing, pp.491-502

[21]Degife, W. A., & Sinamo, A. (2019). Efficient Predictive Model for Determining Critical Factors Affecting Commodity Price: The Case of Coffee in Ethiopian Commodity Exchange (ECX). International Journal of Information Engineering and Electronic Business, 11(6), 32-36.