Data Mining Prediction Production of Water Needs using Simple Linear Regression Algorithms
Hendra Di Kesuma1, Robi Yanto2
1Hendra Di Kesuma*, Management Informatics, Computer Science Department, IGM University Indonesia.
2Robi Yanto, Information Systems, Computer Science Department, STMIK BNJ Lubuklinggau Indonesia.
Manuscript received on September 03, 2019. | Revised Manuscript received on September 22, 2019. | Manuscript published on October 30, 2019. | PP: 3575-3578 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2690109119/2019©BEIESP | DOI: 10.35940/ijeat.A2690.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Water is a natural resource that becomes the basic human needs. The city of Lubuklinggau every day provides the need for clean water to the community through PDAM Regional company Tirta Bukit Sulap. Clean water production is based on the analysis of water consumption by the community every month in advance. So, there is often a clean water delivery due to lack of clean water production. Also, the need for clean water will always increase with the increasing customer every month. Therefore, to be able to ensure the availability of clean water in the city of Lubuklinggau then need to be analyzed to predict the need for clean water in the city of each him is by applying data mining for prediction of needs Clean water by using simple linear regression algorithms. By applying data mining, clean water needs can be predicted for the next few years, making it easier for decision makers to determine the volume of clean water produced. So the public can utilize clean water according to the needs.
Keywords: Water, Data Mining, Simple Linear Regression.