Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara)
Ego Dwi Pratomo
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
METODE K-MEANS DALAM PEMETAAN PENYEBARAN PAMSIMAS Ego Dwi Pratomo; Tri Irawati; Wawan Laksito Yuly Saptomo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 7, No 2 (2019): Jurnal TiKomSiN, Vol.7, No. 2, 2019
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.811 KB) | DOI: 10.30646/tikomsin.v7i2.449

Abstract

Program water supply and sanitation water the community (Pamsimas) is one of the government's mainstay programs in the provision of clean water and sanitation for rural and suburban communities through a community-based approach. With the effort to determine which villages are categorized as potential to receive financial assistance and no potential to receive APBN assistance for the installation of the project pamsimas. The aim is to establish a standard system for selecting Pamsimas villages to help government programs channel them to the right target. With the K-Means Clustering clustering method, this method is very suitable to be used in predicting and classifying which villages are categorized as potentials and does not have the potential to detect the state budget for the Pamsimas project installation. The data is taken interview and direct observation to the Pamsimas office which is the primary data and the criteria data in the form of village data and village connections are secondary data. The results obtained are the K-Means method can be applied clustering of Pamsimas Karanganyar village clustering which is useful to assist the selection of villages on target. By testing the functionality using a black box and testing the validity using the Rapidminer Software. In the mapping study, it was stated that 2 clusters were categorized as potential and not potential. For the results of a valid percentage of the Pamsimas application is 100%.Keywords: Mapping, Pamsimas, Clustering K-Means. 
Co-Authors Tri Irawati Wawan Laksito Yuly Saptomo