PENGKLASTERAN BANK SAMPAH MENGGUNAKAN METODE K-MEANS PADA DINAS LINGKUNGAN HIDUP KABUPATEN PASURUAN

Abstract

Rubbish is a serious problem in the environmental, the main problem is a less of adequate rubbish
processing, so the resulting in damage to the environmental seriously. To prevent damage, the
department of environmental to facilitate the rubbish bank in all of part area for Pasuruan district
to reduce the rubbish damaging the environmental. The problems often encountered by the
Department of environmental is how effective and efficient method of determining a good rubbish
bank in managing waste. The purpose of this research was to improve the performance of the
Department of the environmental in determining the Fund's operational budget. The data is taken
from 15 rubbish bank, the data is divided into 3 dataset namely the number of customers, pile of
rubbish and turnover. The method that used namely algorithm for k-means clustering with 3
groups. The first cluster 1 = 17; 112; 450000, the second cluster 2 = 49; 275; 1018750 and the
third cluster 3 = 67; 362; 1325000. The results show that from two cluster, exactly same value of
the SSE (Sum of Square Error). The first cluster is 40090915055 and the second cluster is
40090915055. The results are analyzed and concluded based on the clusters formed in order to
support the decision of funds acceptance and rubbish processing equipment in the department of
environmental Pasuruan district.