Optimizing Zakat Distribution with GIS and Data Mining in Community Empowerment at BAZNAS Deli Serdang
Abstract
This research aims to develop an information system that utilizes Geographic Information System technology to map and analyze the distribution of zakat effectively in Deli Serdang Regency. The methods used include collecting data on zakat recipients and applying the K-means grouping method to identify distribution patterns in 22 districts. The results of the study show that there are three groups of zakat recipients: High Recipients, Medium Recipients, and Low Recipients. Tanjung Morawa was identified as the district with the highest number of zakat recipients, namely 239 people, which shows a significant need. The K-Means algorithm plays an important role in identifying areas that need help, so this Geographic Information System-based grouping is proven to improve the efficiency of zakat resource allocation. This allows BAZNAS to target assistance more precisely and strategically. This study recommends the use of this approach to optimize zakat management and support community economic empowerment, as well as reduce social inequality in the region.
Downloads
References
M. Imbalo Zaki Hasibuan and T. Triase, “Implementasi Sistem Database NoSQL Secara Real Time Menggunakan Firebase Realtime Database pada Aplikasi Ourticle,” SIBATIK J. J. Ilm. Bid. Sos. Ekon. Budaya, Teknol. dan Pendidik., vol. 2, no. 1, pp. 1–24, 2022, doi: 10.54443/sibatik.v2i1.489.
R. B. Nuerita Maharani, M. I. P. Nasution, and T. Triase, “Sistem Informasi Payroll Pegawai dengan Absensi QR Code,” J. Inform. dan Teknol. Pendidik., vol. 1, no. 1, pp. 23–35, 2021, doi: 10.25008/jitp.v1i1.9.
O. A. Mohammed, S. Vafaei, M. M. Kurdalivand, S. Rasooli, C. Yao, and T. Hu, “A Comparative Study of Forest Fire Mapping Using GIS-Based Data Mining Approaches in Western Iran,” 2022.
N. R. F. Ramadhani, E. Prasetyaningrum, and L. Bachtiar, “Sistem Informasi Geografis Apotek di Kotawaringin Timur Berbasis Web,” Build. Informatics, Technol. Sci., vol. 2, no. 2, pp. 141–150, 2020, doi: 10.47065/bits.v2i2.549.
Y. Rahmanto, S. Hotijah, and . Damayanti, “Perancangan Sistem Informasi Geografis Kebudayaan Lampung Berbasis Mobile,” J. Data Min. dan Sist. Inf., vol. 1, no. 1, p. 19, 2020, doi: 10.33365/jdmsi.v1i1.805.
Basri, A. Achamad, Hazriani, and C. S. Munthakhabah R, “Sistem Informasi Geografis Pemetaan dan Prediksi Pertumbuhan Penduduk Menggunakan Regresi Linear,” Bull. Inf. Technol., vol. 4, no. 2, pp. 171–177, 2023, doi: 10.47065/bit.v4i2.633.
Kusmanto, S. Samsir, R. Watrianthos, and S. Suryadi, “Distribusi Spasial Unmet Need Pelayanan Kesehatan dengan Algoritma K-Means untuk Pemetaan Provinsi di Indonesia,” Bull. Inf. Technol., vol. 4, no. 3, pp. 362–368, 2023, doi: 10.47065/bit.v4i3.862.
M. Gulyaeva et al., “Data mining and model ‑ predicting a global disease reservoir for low ‑ pathogenic Avian Influenza ( AI ) in the wider pacific rim using big data sets,” Sci. Rep., pp. 1–11, 2020, doi: 10.1038/s41598-020-73664-2.
M. Mustikasari et al., “Analisis Kepuasan Mustahik Terhadap Pelayanan Badan Zakat Nasional (BAZNAS) Kota Bandung,” J. Ilmu Multidisiplin, vol. 2, no. 2, pp. 179–192, 2023.
Nur Aini and A. Mundir, “Pengelolaan Zakat, Infaq dan Sedekah dalam Upaya Meningkatkan Pendapatan Ekonomi Pelaku UMKM di BAZNAS Kota Pasuruan,” Malia (Terakreditasi), vol. 12, no. 1, pp. 95–108, 2020, doi: 10.35891/ml.v12i1.2367.
M. Ilzam Harahap, “Analisis Efektivitas Penyaluran Zakat Menggunakan Metode Zakat Core Principles Oleh BAZNAS Deli Serdang,” vol. 419, no. 2, pp. 419–427, 2023.
N. Nurhayati, A. Afifudin, and S. A. Anwar, “Efektivitas pendistribusian zakat dalam pemberdayaan ekonomi masyarakat,” El-Aswaq Islam. Econ. Financ. J., vol. 3, no. 1, pp. 1–9, 2022.
Z. H. Utomo and A. S. Qulub, “Baznas Jawa Timur Dan Pemberdayaan Masyarakat Disabilitas Ponorogo,” J. Ekon. Syariah Teor. dan Terap., vol. 7, no. 3, p. 544, 2020, doi: 10.20473/vol7iss20203pp544-562.
K. Kandali, L. Bennis, and H. Bennis, “A New Hybrid Routing Protocol Using a Modified K-Means Clustering Algorithm and Continuous Hopfield Network for VANET,” IEEE Access, vol. 9, pp. 47169–47183, 2021, doi: 10.1109/ACCESS.2021.3068074.
X. Ran, X. Zhou, M. Lei, W. Tepsan, and W. Deng, “A novel K-means clustering algorithm with a noise algorithm for capturing urban hotspots,” Appl. Sci., vol. 11, no. 23, 2021, doi: 10.3390/app112311202.
A. Muhariya, B. Widada, and S. Siswanti, “Monitoring Program Keluarga Harapan Berbasis Mobile GIS Menggunakan K-Means Clustering,” Techno.Com, vol. 20, no. 4, pp. 468–477, 2021, doi: 10.33633/tc.v20i4.4463.
M. R. Sholihin and Rudiman, “Pemetaan Sekolah Muhammadiyah di Kabupaten PPU Berdasarkan Fasilitas , Pendidik dan Tenaga Pendidik Menggunakan Metode K-Means Clustering,” J. Keilmuan dan Apl. Tek. Inform., vol. 5, no. 36, pp. 45–51, 2022.
Y. Filki, “Algoritma K-Means Clustering dalam Memprediksi Penerima Bantuan Langsung Tunai (BLT) Dana Desa,” J. Inform. Ekon. Bisnis, vol. 4, pp. 166–171, 2022, doi: 10.37034/infeb.v4i4.166.
Eniyati, Z. KP, L. Yulaikhah, and R. Prahesti, “Analisis Kuantitatif dan Kualitatif Dokumen Rekam Medis Pasien Bersalin di Klinik Pratama Aisyiyah Siti Khotijah Salam Magelang,” Heal. Indones. J., vol. 2, no. 1, pp. 14–21, 2023.
A. Rakhmaniar, “Analisis Kuantitatif Tentang Pengaruh Komunikasi Verbal Dan Nonverbal Dalam Proses Negosiasi Bisnis,” no. 1, 2024.
B. M. Kareli, E. T. Maziriri, and T. Chuchu, “Modelling Key Obstacles Hindering The Business Performance of Small and Medium Enterprises Within The Mangaung Metropolitan Area in South Africa,” Indones. J. Bus. Entrep., vol. 9, no. 3, pp. 347–358, 2023, doi: 10.17358/ijbe.9.3.347.
A. Z. Syahputri, F. Della Fallenia, and R. Syafitri, “Kerangka berfikir penelitian kuantitatif,” Tarb. J. Ilmu Pendidik. dan Pengajaran, vol. 2, no. 1, pp. 160–166, 2023.
A. Khaeru, R. Astuti, and N. Suarna, “Sistem Informasi Ekstrakurikuler Untuk Meningkatkan Pelayanan Kegiatan Di Sman 1 Sumberjaya,” JATI (Jurnal Mhs. Tek. Inform., vol. 6, no. 2, pp. 856–860, 2022, doi: 10.36040/jati.v6i2.5759.
A. R. A. P. Ahmad, T. Triase, and M. Alda, “Aplikasi Pemesanan Layanan Laundry Pada Noda Laundry Dengan Integrasi Midtrans Payment Gateway, Dikembangkan Untuk Platform Android,” JTIK (Jurnal Tek. Inform. Kaputama), vol. 8, no. 1, pp. 8–14, 2024, doi: 10.59697/jtik.v8i1.488.
F. A. Ulwanda and M. Alda, “Cap Rajawali Tebing Tinggi Menggunakan Metode Distribution Requirement Planning ( DRP ),” vol. 4307, no. August, pp. 1053–1059, 2024.
W. D. Prastowo, D. Danianti, and A. Pramuntadi, “Analisis Risiko Pada Pengembangan Perangkat Lunak Menggunakan Metode Agile Dan Rad (Rapid Application Development),” Citiz. J. Ilm. Multidisiplin Indones., vol. 3, no. 3, pp. 169–174, 2023, doi: 10.53866/jimi.v3i3.388.
F. Andini, D. Zilfitri, Y. Filki, and M. Ridho, “Algoritma K-Means Clustering dalam Optimalisasi Komposisi Pakan Ternak Ayam Petelur,” J. Sistim Inf. dan Teknol., vol. 5, pp. 44–48, 2022, doi: 10.37034/jsisfotek.v5i2.168.
Z. Huang, H. Zheng, C. Li, and C. Che, “Application of Machine Learning-Based K-means Clustering for Financial Fraud Detection,” Acad. J. Sci. Technol., vol. 10, no. 1, pp. 33–39, 2024, doi: 10.54097/74414c90.
2021 Rufaidah, Lestari and Wahyudin, “Metode Material Requirement Planning (MRP) untuk Perencanaan Kebutuhan Bahan Baku pada Produksi,” Optimalisasi, vol. 7, no. April, pp. 16–24, 2021.
F. Marwan, A. Zakir, and E. Rahayu, “Sistem Informasi Geografis Capaian Vaksinasi Covid-19 Kabupaten Labuhanbatu Utara Berbasis Webgis Menggunakan Algoritma K-Means,” Snastikom, 2022.
M. Rakha, M. Hermawati, and N. Dwitiyanti, “Sistem Absensi Menggunakan Qr Code Scanner Berbasis Android Pada Pt. Indobara Bahana,” Semnas Ristek (Seminar Nas. Ris. dan Inov. Teknol., vol. 6, no. 1, pp. 1074–1081, 2022, doi: 10.30998/semnasristek.v6i1.5855.
M. Alda, O. Ariansah Pane, M. R. Syuhada, and S. Dara Efita, “Aplikasi Absensi Karyawan Gapyeong Korean BBQ Lubuk Pakam Menggunakan QR Code Berbasis Android,” vol. 8, pp. 2948–2957, 2024.


Copyright (c) 2024 Journal of Information Systems and Informatics

This work is licensed under a Creative Commons Attribution 4.0 International License.
- I certify that I have read, understand and agreed to the Journal of Information Systems and Informatics (Journal-ISI) submission guidelines, policies and submission declaration. Submission already using the provided template.
- I certify that all authors have approved the publication of this and there is no conflict of interest.
- I confirm that the manuscript is the authors' original work and the manuscript has not received prior publication and is not under consideration for publication elsewhere and has not been previously published.
- I confirm that all authors listed on the title page have contributed significantly to the work, have read the manuscript, attest to the validity and legitimacy of the data and its interpretation, and agree to its submission.
- I confirm that the paper now submitted is not copied or plagiarized version of some other published work.
- I declare that I shall not submit the paper for publication in any other Journal or Magazine till the decision is made by journal editors.
- If the paper is finally accepted by the journal for publication, I confirm that I will either publish the paper immediately or withdraw it according to withdrawal policies
- I Agree that the paper published by this journal, I transfer copyright or assign exclusive rights to the publisher (including commercial rights)