Data mining prediction production of water needs using simple linear regression algorithms

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.