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All Journal Jurnal Mahasiswa Matematika AKSIOMA: Jurnal Program Studi Pendidikan Matematika NUMERICAL (Jurnal Matematika dan Pendidikan Matematika) Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Jurnal Matematika: MANTIK MUST: Journal of Mathematics Education, Science and Technology Jurnal SOLMA BAREKENG: Jurnal Ilmu Matematika dan Terapan JCES (Journal of Character Education Society) Zero : Jurnal Sains, Matematika, dan Terapan Teorema: Teori dan Riset Matematika Prima: Jurnal Pendidikan Matematika MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Transformasi : Jurnal Pendidikan Matematika dan Matematika Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Mandala Pengabdian Masyarakat Journal of Mathematics Education and Science Jurnal Nuansa Akademik: Jurnal Pembangunan Masyarakat Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi As-Sidanah : Jurnal Pengabdian Masyarakat Journal of Research Applications in Community Services Journal Focus Action of Research Mathematic (Factor M) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Ilmu dan Inovasi Fisika
M. Ivan Ariful Fathoni
Universitas Nahdlatul Ulama Sunan Giri
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A Decision Support System for Selecting Beneficiaries of the Free Nutritious Meal Program Using Fuzzy Possibilistic C-Means M. Husen Al Farisy; M. Ivan Ariful Fathoni; Anisa Fitri; Nabila Alisa Rohmah; Siti Nur Laili Zuhri
ZERO: Jurnal Sains, Matematika dan Terapan Vol 10, No 1 (2026): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v10i1.28831

Abstract

The Free Nutritious Meal Program (MBG) aims to improve students’ nutritional status, but beneficiary selection is challenged by data uncertainty and overlapping criteria. This study proposes a decision support system based on the Fuzzy Possibilistic C-Means (FPCM) algorithm. The dataset consists of 200 students from Bojonegoro Regency using five indicators: nutritional status, household income, family size, participation in social assistance, and distance to school. The methodology includes data standardization, clustering using Fuzzy C-Means (FCM) and FPCM, and evaluation using Partition Coefficient, Silhouette Score, and Dunn Index. The results classify students into three groups: 52% not eligible, 18.5% moderately eligible representing borderline cases requiring further verification, and 29.5% eligible. FPCM achieves higher cluster clarity with a Partition Coefficient of 0.84 compared to 0.74 in FCM, while other evaluation metrics indicate comparable structural quality between methods. These findings indicate that FPCM provides a more interpretable and robust framework for decision-making under uncertainty.
Co-Authors Abhariyatul Mahmudah Achmad Chumaidi Achmad Chumaidi, Achmad Adika Setia Brata Ahmad Al A Dhomul Aflahin Anisa Fitri Aprillia Dwi Ardianti Aprillia Nur Tina David Al Nurul Huda Abdul Kabib Dawami, Moh. Fatkur Devi Tri Yuliana Dwi Kusuma, Rita Dwi Nurul Hidayati Dwi Purbo Yuwono Eka Maya Septianing Festian Cindarbumi Fitri, Anisa Hamidatun Nihayah Hanifahtul Husnah Ida Fauziatun Nisa' Ismanto Ismanto Ismanto Ismanto Isti Muhlisotin Kabib, David Al Nurul Huda Abdul Kurniawati, Naning M. Husen Al Farisy Moh. Yusuf Efendi Mufidah, Izzatul Muhammad Taufiq Nabila Alisa Rohmah Nanda Nur Rahmawati Nilna Indriana Nurul Huda Nurul Ilmiyah Nurul Mahruzah Yulia Rifky Ardhana Kisno Saputra Ririn Mufidatur Rohmawati Sa'adah, Thiyyah Nailis Saniyatus Saidah Sari, Astrid Chandra Siti Khoiriyah Siti Nur Laili Zuhri Sunu Wahyudhi Tina, Aprillia Nur Yaqin, Alamul Yogi Prana Izza Yuliana, Devi Tri