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

Year: 2024

Type: article

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.

Source: Jurnal Informatika dan Teknik Elektro Terapan

DOI: 10.23960/jitet.v12i3s1.5164

Authors: Penti Septian R.S, Penti Septian R.S, Yuza Reswan, Yovi Apridiansyah, Dandi Sunardi

Institution: Universitas Muhammadiyah Bengkulu

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: No poverty

Open Access status: diamond

OpenAlex ID: W4403347653

FWCI:

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