PENERAPAN FUZZY C-Means CLUSTERING sebagai PENDUKUNG SISTEM KEPUTUSAN SELEKSI PENERIMA BANTUAN SOSIAL: Desa Sukau Kayo, Lebong, Bengkulu, Indonesia

Abstract. Frequently the occurrence of discrepancies in selecting eligible candidates for social assistance programmes. Thus, the research aims for creating a support system for making decisions in the selection of prospective recipients of social assistance programmes by applying the Fuzzy C-Means (FCM) method for direct assistance recipients who are eligible or not. The results obtained after testing of system on the 91% questionnaire results are very helpful in taking a decision.

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Publication Details

Journal
Jurnal Informatika dan Teknik Elektro Terapan
Published
2024-10-12
DOI
https://doi.org/10.23960/jitet.v12i3s1.5164
Primary Topic
Management and Optimization Techniques
Type
article
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article

PENERAPAN FUZZY C-Means CLUSTERING sebagai PENDUKUNG SISTEM KEPUTUSAN SELEKSI PENERIMA BANTUAN SOSIAL: Desa Sukau Kayo, Lebong, Bengkulu, Indonesia

Yovi Apridiansyah, Dandi Sunardi, Yuza Reswan
Jurnal Informatika dan Teknik Elektro Terapan
Management and Optimization Techniques
article

PENERAPAN FUZZY C-Means CLUSTERING sebagai PENDUKUNG SISTEM KEPUTUSAN SELEKSI PENERIMA BANTUAN SOSIAL: Desa Sukau Kayo, Lebong, Bengkulu, Indonesia

Yovi Apridiansyah, Dandi Sunardi, Yuza Reswan
article en

Abstract

Abstract. Frequently the occurrence of discrepancies in selecting eligible candidates for social assistance programmes. Thus, the research aims for creating a support system for making decisions in the selection of prospective recipients of social assistance programmes by applying the Fuzzy C-Means (FCM) method for direct assistance recipients who are eligible or not. The results obtained after testing of system on the 91% questionnaire results are very helpful in taking a decision.

Jurnal Informatika dan Teknik Elektro TerapanVol. 12(3S1)
Universitas Muhammadiyah Bengkulu (ID)
Reduced inequalities
Openalex Percentile: Top 69%
Management and Optimization Techniques
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