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Journal : Journal Of Artificial Intelligence And Software Engineering

Implementation Of A Simple Linear Regression Method For Webgis Based Prediction Of North Timor Central Timor District Perumda Water Use Conceicao, Helidora Jelia Sasiana; Rema, Yasinta Oktaviana Legu; Lestari, Anastasia Kadek Dety
Journal of Artificial Intelligence and Software Engineering Vol 5, No 1 (2025): March
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i1.6476

Abstract

The increasing need for clean water along with population growth is a challenge for the provision of drinking water services, especially in North Central Timor Regency. The Tirta Cendana Regional Drinking Water Company (PDAM) plays an important role in meeting this need, although water availability is influenced by rainfall and population. The aim of this research is to develop an information system that predicts clean water usage based on the number of customers using a simple linear regression method. The system was designed using the waterfall method and integrated into a WebGIS platform to manage water supply and usage data, and also provides a visualization of water demand in different locations. This research aims to assist PDAM Tirta Cendana in planning water production and improving services to customers, as well as supporting water resource management by local governments to meet community needs in the future.
Identification of Groundwater Potential Zones Using Analytic Hierarchy Process (AHP) Based on Webgis in North Central Timor District Susu, Yublina Rambuhana; Kelen, Yoseph Pius Kurniawan; Lestari, Anastasia Kadek Dety; Gelu, Leonard Peter
Journal of Artificial Intelligence and Software Engineering Vol 5, No 1 (2025): March
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i1.6459

Abstract

In all kinds of human activities, water is a basic need to carry out various activities. Therefore, water is very functional and plays an important role in the life of living things on this earth. Groundwater is a very important source of water supply, especially in areas where long dry seasons or droughts cause rivers to stop flowing. Geographic information systems (GIS) can be used to help map groundwater. In this study, it was applied in determining the potential zones of groundwater availability in the area with several parameters such as rainfall, lithology, geomorphology. The entire map is then weighted using the analytical hierarchical process (AHP) method to determine the potential zones of groundwater availability, the results will be displayed and informed in the Website system. The combination of AHP and Waterfall methods shows that high water potential areas in North Central Timor Regency are in Noemuti, South Bikomi, Insana, East Noemuti, and West Miomafo Districts, moderate water potential in East Miomafo District, Kefamenanu City, Insana Fafinesu, Central Miomafo, Musi, Mutis, Biboki Feotleu, Biboki Moenleu, North Biboki, Central Bikomi, West Insana, South Biboki, and low water potential in Bikomi Nilulat, Biboki Anleu, Biboki Tanpah, and North Insana Districts.
Irrigation Data Inventory Using Web-Based Geographic Information System to Support the Water Discharge Distribution in Belu Regency Tetik, Fransiskus Rendi; Kelen, Yosep Pius Kurniawan; Lestari, Anastasia Kadek Dety; Manek, Siprianus Septian
Journal of Artificial Intelligence and Software Engineering Vol 5, No 1 (2025): Maret
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i1.6451

Abstract

The development of information technology in the era of globalization has become an integral part of human life, especially in providing fast, accurate, and easily accessible information. BeluRegency, located in East Nusa Tenggara Province, has challenges in managing air resources, especially related to agricultural irrigation. Inaccurate and incomplete irrigation data hinders the efficiency of water discharge distribution, which is very important or most of the population who make a living in the agricultural sector. This research aims to apply the Geographic Information System (GIS) in the inventory of distributed data, in order to improve the efficiency and effectiveness of air resource management. By using GIS, it is hoped that accurate mapping of the location of irrigation canals can be carried out, making it easier to make decisions regarding the distribution of water discharge. The results of this research are expected to increase agricultural productivity, maintain environmental curiosity, and improve the welfare of farmers and local communities in Belu Regency. This research is entitled Irrigation Data Inventory Using Web-Based Geographic Information System to Support the Water Discharge Distribution in Belu Regency".