SISTEM INFORMASI GEOGRAFIS PEMETAAN LAHAN PERTANIAN BAWANG MERAH DENGAN METODE K-MEANS CLUSTERING BERBASIS WEBSITE (Studi Kasus di Kabupaten Nganjuk)

  • Much. Zuyyinal Haqqul Barir Teknik Informatika, Fakultas Teknologi Informasi, Universitas Hasyim Asy’ari
  • Achmad Imam Agung Fakultas Teknologi Informasi, Universitas Hasyim Asy’ari
  • Chamdan Mashuri Sistem Informasi, Fakultas Teknologi Informasi, Universitas Hasyim Asy’ari

Abstract

Geographic Information system (GIS) is a type of system that can be used for mapping the garlic farm land.
The system consists of hardware, software, geographic location and human resources that can effectively
process and display geographic information data. Agricultural land is an economic resource that is
relatively permanent availability, but its needs continue to increase due to development needs. The purpose
of this research is tobuild SIG -based GIS Website and M-energy method of K-means Clustering for the
mapping of garlic farmland . The method used In this research is qualitative and uses K-means Clustering
for GIS. This method is used for grouping data that has similarity variables. This method generates several
iterations that have clustervalues. Of These iterations used the least cluster value to determine the
agricultural Land Mapping group. The result of this research is a geographic information system that can
map the garlic farm land. GIS testing was conducted on land in 20 sub-districts in Nganjuk district with
consideration of 3 variables and the test count 4 times. From The test results, the average number of
conformity calculation is obtained by 93,51% between manual counting result and counting result using
SIG.
Keywords: K-means, Clustering, shallots, land mapping

Published
2019-09-22