Monitoring Application for Clean Water Access and Clustering using K-Means Algorithm

Selasa, 27 Oktober 2020 - 04:27
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Monitoring Application for Clean Water Access and
Clustering using K-Means Algorithm
 
 
Ketua : NIZAR RABBI RADLIYA S.Kom, M.Kom
Anggota : M R Fachrizal
Departemen Sistem Informasi
Universitas Komputer Indonesia
 
Anggota : A R Rabbi
Departemen Pendidikan Lingkungan Hidup
Universitas Siliwangi

Email: nizar@email.unikom.ac.id
 

Abstract. The purpose of this research is to develop a monitoring application of clean water
access for the community and determining areas that need to improve access to clean water.
Data collection was done by examining documents which were related to clean water
management and conducting interviews with the Department of Housing and Settlement of
West Java Province. The results of data collection are used to develop a clean water monitoring
application system based on Android and Web. Data from the application will be used for
clustering with the K-Means algorithm. For example, in the city of Bandung, 12 urban village
areas were recommended for increasing access to clean water. The area has a percentage of
ownership of clean water access approaching the value of 29.96% of the ownership of clean
water sources for food and drink, 28.96% for ownership of other sources of clean water and
14.48% for ownership of reserves of clean water. The optimal number of clusters of clean
water access in the city of Bandung is three clusters because it has the lowest Davies-Bouldin
Index (DBI) value of 0.439.