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Almaukar Anastasia
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Digitasi Produktivitas Panen Padi Berbasis K-Means Clustering Fitri Marisa; Abi Zahma; Adrianus Muit Bau; Egy Noviansa; Adi Semri Neno; Almaukar Anastasia
SMARTICS Journal Vol 7 No 1: SMARTICS Journal (April 2021)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v7i1.5270

Abstract

Paddy as an ingredient of staple food by people in Indonesia includes in East Java Province. Therefore attention to the production of paddy in East Java is necessary, and this attention will give a piece of knowledge about which region produces paddy optimally or less optimal. This study aim is to do a clustering about paddy production in each region in East Java. K-Means algorithm uses to do clustering. The result is 3 clusters obtained, high, medium, and less productivity cluster. There are six regions in high productivity cluster, 20 regions in medium productivity cluster, and 12 regions in less productivity cluster.
Co-Authors Abi Zahma Adi Semri Neno Adrianus Muit Bau Egy Noviansa Fitri Marisa