Implementation Of A Simple Linear Regression Method For Webgis Based Prediction Of North Timor Central Timor District Perumda Water Use

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.

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Publication Details

Journal
Journal of Artificial Intelligence and Software Engineering (J-AISE)
Published
2025-03-26
DOI
https://doi.org/10.30811/jaise.v5i1.6476
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Implementation Of A Simple Linear Regression Method For Webgis Based Prediction Of North Timor Central Timor District Perumda Water Use

Anastasia Kadek Dety Lestari, Helidora Jelia Sasiana Conceicao, Yasinta Oktaviana Legu Rema
Journal of Artificial Intelligence and Software Engineering (J-AISE)
Water Quality Monitoring Technologies
article

Implementation Of A Simple Linear Regression Method For Webgis Based Prediction Of North Timor Central Timor District Perumda Water Use

Anastasia Kadek Dety Lestari, Helidora Jelia Sasiana Conceicao, Yasinta Oktaviana Legu Rema
article en

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.

Journal of Artificial Intelligence and Software Engineering (J-AISE)Vol. 5(1)
University of Timor (ID)
Openalex Percentile: Top 93%
Water Quality Monitoring Technologies
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