The Classification Of “Program Sembako” Recipients In Payobasung West Sumatra Based on The K-Nearest Neighbors Classifier
نویسندگان
چکیده
The "Sembako Program" is a program carried out by the Indonesian government to improve welfare of low-income communities. purposes this study are: (a) determine classification households that deserve receive basic-food assistance in Koto Panjang Payobasung, West Sumatra, using KNN classifier and (b) optimal number nearest neighbors used process. measure proximity between objects Gower dissimilarity coefficient. This research primary data consisting 175 collected purposively survey conducted on all Payobasung. K value determined implementing 5-fold cross-validation procedure. result showed best process when = 3 are since it produces highest accuracy coefficient Mattews correlation (MCC). Therefore, for further work, deciding eligibility household Sembako Program can be considering its
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ژورنال
عنوان ژورنال: Jurnal Natural
سال: 2023
ISSN: ['2541-4062', '1411-8513']
DOI: https://doi.org/10.24815/jn.v23i2.29738