SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN DANA ZAKAT MENGGUNAKAN METODE RANDOM FOREST DAN FUZZY ANALYTICAL HIERARCHY PROCESS (F-AHP) DI BAZNAS KOTA BANDUNG

    Azka Naufal Nurrahman, - and Eddy Prasetyo Nugroho, - and Yudi Ahmad Hambali, - (2025) SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN DANA ZAKAT MENGGUNAKAN METODE RANDOM FOREST DAN FUZZY ANALYTICAL HIERARCHY PROCESS (F-AHP) DI BAZNAS KOTA BANDUNG. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Salah satu tantangan utama dalam penyaluran zakat adalah keterbatasan dana yang tersedia dibandingkan dengan jumlah pengajuan bantuan yang terus meningkat. Kondisi ini menyebabkan lembaga seperti BAZNAS harus melakukan seleksi ketat dan menentukan prioritas penerima bantuan secara adil. Dalam upaya menjawab permasalahan tersebut, penelitian ini mengembangkan Sistem Pendukung Keputusan (SPK) menggunakan metode Random Forest dan Fuzzy Analytical Hierarchy Process (F-AHP). Metode Random Forest digunakan untuk melakukan klasifikasi kelayakan calon penerima zakat berdasarkan lima kriteria utama, yaitu pendapatan, jumlah tanggungan, status tempat tinggal, riwayat penerimaan bantuan, dan nominal ajuan. Sementara itu, Fuzzy Analytical Hierarchy Process (F-AHP) digunakan untuk menentukan tingkat prioritas dari calon yang telah dinyatakan layak. Penelitian ini menggunakan data dari BAZNAS Kota Bandung, yang dikumpulkan melalui observasi dan wawancara. Hasil evaluasi menunjukkan bahwa model Random Forest yang dibangun memiliki tingkat akurasi sebesar 88,98%, dengan precision dan recall masing-masing di atas 93%, menunjukkan performa klasifikasi yang tinggi. Selanjutnya Proses pembobotan Fuzzy Analytical Hierarchy Process (F-AHP) menghasilkan bobot dominan pada kriteria pendapatan sebesar 0,408. Sistem ini berhasil membantu proses seleksi dan pemeringkatan calon penerima zakat secara objektif, efisien, dan transparan. Dengan pendekatan ini, diharapkan pengelola zakat dapat mengoptimalkan distribusi zakat sesuai dengan prioritas kepada mereka yang membutuhkan. One of the main challenges in zakat distribution is the limited funds available compared to the increasing number of aid applications. This condition forces institutions such as BAZNAS to conduct strict selection and determine the priority of aid recipients fairly. In an effort to address this problem, this study developed a Decision Support System (DSS) using the Random Forest method and the Fuzzy Analytical Hierarchy Process (F-AHP). The Random Forest method is used to classify the eligibility of prospective zakat recipients based on five main criteria: income, number of dependents, residence status, aid receipt history, and nominal amount of the application. Meanwhile, the Fuzzy Analytical Hierarchy Process (F-AHP) is used to determine the priority level of candidates who have been declared eligible. This study used data from BAZNAS Bandung City, collected through observation and interviews. The evaluation results showed that the Random Forest model developed had an accuracy level of 88.98%, with precision and recall each above 93%, indicating high classification performance. Furthermore, the Fuzzy Analytical Hierarchy Process (F-AHP) weighting process resulted in a dominant weighting of 0.408 for the income criterion. This system successfully facilitated the objective, efficient, and transparent selection and ranking of prospective zakat recipients. With this approach, it is hoped that zakat administrators can optimize zakat distribution according to priorities for those in need.

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    Official URL: https://repository.upi.edu/
    Item Type: Thesis (S1)
    Additional Information: https://scholar.google.com/citations?hl=en&user=7AZFg-8AAAAJ ID SINTA Dosen Pembimbing: Eddy Prasetyo Nugroho: 5990993 Yudi Ahmad Hambali: 6745712
    Uncontrolled Keywords: Fuzzy Analytical Hierarchy Process (F-AHP), Random Forest, Sistem Pendukung Keputusan, Zakat. Fuzzy Analytical Hierarchy Process (F-AHP), Random Forest, Decision Support System, Zakat.
    Subjects: L Education > L Education (General)
    T Technology > T Technology (General)
    Divisions: Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Ilmu Komputer
    Depositing User: Azka Naufal Nurrahman
    Date Deposited: 15 Sep 2025 03:36
    Last Modified: 15 Sep 2025 03:36
    URI: http://repository.upi.edu/id/eprint/138684

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