Jurnal Natural
Volume 23 Number 2, June 2023

The Classification of “Program Sembako” recipients in Payobasung West Sumatra based on the K-nearest neighbors classifier

HAZMIRA YOZZA (Universitas Andalas)
NINDI MAULA AZIZAH (Andalas University)
LYRA YULIANTI (Universitas Andalas)
IZZATI RAHMI (Universitas Andalas)

Article Info

Publish Date
03 Jun 2023

Abstract

The "Sembako Program" is a program carried out by the Indonesian government to improve the welfare of low-income communities. The purposes of this study are: (a) to determine the classification of households that deserve to receive basic-food assistance in Koto Panjang Payobasung, West Sumatra, using the KNN classifier and (b) to determine the optimal number of nearest neighbors used in the classification process. The measure of proximity between objects used is the Gower dissimilarity coefficient. This research used primary data consisting of 175 households collected purposively in a survey conducted on all households in Payobasung.  The optimal K value is determined by implementing a 5-fold cross-validation procedure. The result showed that the best classification process is when K = 3 nearest neighbors are used since it produces the highest accuracy coefficient and Mattews correlation coefficient (MCC). Therefore, for further work, in deciding the eligibility of a household to receive the Sembako Program in Payobasung, KNN can be used by considering its 3 nearest neighbors

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Journal Info
Jurnal Natural
Website

Abbrev

natural

Publisher

Universitas Syiah Kuala

Subject

Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Energy Immunology & microbiology Neuroscience Physics

Description

Jurnal Natural (JN) aims to publish original research results and reviews on sciences and mathematics. Jurnal Natural (JN) encompasses a broad range of research topics in chemistry, pharmacy, biology, physics, mathematics, statistics, informatic and ...