CLUSTERING DEBITUR PNPM MANDIRI PERDESAAN KECAMATAN SIMEULUE TIMUR DENGAN METODE K-MEANS MENGGUNAKAN MATLAB

dc.contributor.authorAnjani, Vira
dc.date.accessioned2023-05-20
dc.date.available2023-05-20
dc.date.issued2021
dc.identifier.uri https://garuda.kemdikbud.go.id/documents/detail/2573857
dc.description.abstract People who need loan funds to open a business. Every regional and central leadership makes the poor as the main goal that must be resolved. Fund loan assistance is needed to open a business. Based on data from the group of Simpan Pinjam khusus Perempuan (SPP) in the Simeulue Timur District, Simeulue Regency, it shows several types of businesses, loan nominal and loan arrears. This study groups (clusters) members of SPP lending using the K-Means method. This method consists of 3 criteria, namely the type of business, nominal loan and loan arrears. In this study, group members who are entitled to get a loan are group members who have the highest cluster value. A scoring sistem that is very feasible to get a loan using the data mining method Clustering K-Means. This sistem can be used as a clustering method to assist decisions in determining Simpan Pinjam khusus Perempuan groups (SPP). Key words: Data Mining, K-Means, PNPM Mandiri, Clustering en_US
dc.language.isoenen_US
dc.publisherUniversitas Harapan Medanen_US
dc.subjectAplikasi Pengelompokkan Data Simpan Pinjamen_US
dc.titleCLUSTERING DEBITUR PNPM MANDIRI PERDESAAN KECAMATAN SIMEULUE TIMUR DENGAN METODE K-MEANS MENGGUNAKAN MATLABen_US
dc.typeSkripsien_US


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