Pengambilan Keputusan Dalam Pemilihan Penerima Bantuan Sosial Dengan Metode Multi-Factor Evaluation Process
Abstract
Social assistance program is one of the government initiatives to reduce poverty level in Indonesia. In Simalungun Regency, Karang Anyar Village, the large amount of recipient data that needs to be processed can slow down the distribution of aid to people in need. This study aims to develop a system that can support social assistance facilitators in determining the right recipients quickly and accurately. The method used in this study is the Multi-Factor Evaluation Process (MFEP), which is expected to be able to identify recipients more efficiently. The data analyzed in this study consists of 25 prospective social assistance recipients obtained from social assistance facilitators in Karang Anyar Village. The assessment criteria for aid recipients include the presence of family members of Early Childhood, Pregnant Women, Elderly, People with Disabilities, High School Children (SMA), Middle School Children (SMP), and Elementary School Children (SD). The MFEP stages include determining the weight for each criterion, assigning a value to each factor, calculating the evaluation weight, and summing all evaluation weights to obtain the final value as a basis for decision making. Data processing on 25 potential aid recipients revealed that 24 were eligible and 6 were ineligible. The results of this data processing using the MFEP method, compared with manual data from social assistance facilitators in Simalungun, Karang Anyar Village, showed a 100% accuracy rate for decision-making. With this level of accuracy, the MFEP method has been proven to assist the decision-making process in selecting appropriate social assistance recipients in Simalungun Regency, Karang Anyar Village.
References
Y. Agita, P. Tarigan, R. Aulia, and A. Marwan, “Algoritma AES 128 dalam Mengenkripsikan Berkas Bansos Kecamatan Tigabinanga Berbasis Web,” J. Unitek, vol. 17, no. 2, pp. 2580–2582, 2024, doi: 10.52072/unitek.v17i2.943.
N. S. L. A. Aji and D. A. Dermawan, “Penerapan Metode Smart Berbasis Website Pada Sistem Pendukung Keputusan Untuk Menentukan Kelayakan Calon Penerima Bantuan Langsung Tunai (BLT) Di Kelurahan Kepanjin, Kabupaten Sumenep,” J. Manaj. Inform., vol. 13, no. 02, pp. 1–10, 2024.
P. N. Sari, W. Ramdhan, and A. K. Syahputra, “Aplikasi Pendukung Keputusan dalam Mengukur Tingkat Kepuasan Pelayanan Publik menggunakan Metode MFEP,” Edumatic J. Pendidik. Inform., vol. 7, no. 1, pp. 59–68, 2023, doi: 10.29408/edumatic.v7i1.12448.
E. Simamora, B. Nadeak, and S. Ramadhan Siregar, “Sistem Pendukung Keputusan Pemilihan Siswa Penerima Bantuan Siswa Miskin Menggunakan Metode Multi Attribute Utility Theory,” BIOSTech Bull. Comput. Sci. Inf. Technol., vol. 1, no. 2, pp. 42–52, 2023.
L. Asameta, Y. P. . Kelen, and S. S. Manek, “Sistem Pendukung Keputusan Penerimaan Bantuan Sosial Perikanan untuk Nelayan menggunakan Metode Simple Additive Weighting (SAW),” J. Krisnadana, vol. 3, no. 3, pp. 175–189, 2024, doi: 10.58982/krisnadana.v3i3.620.
L. Sitanayah, R. A. . Kansil, and V. D. Kumenap, “Sistem Pendukung Keputusan Seleksi Penerima Bantuan Sosial Menggunakan Metode Simple Additive Weighting,” JOINTER J. Informatics Eng., vol. 5, no. 01, pp. 14–19, 2024, doi: 10.53682/jointer.v5i01.313.
S. Suprapto, E. Edora, and F. A. Pasaribu, “Sistem Pendukung Keputusan Calon Penerima Program Bantuan Sosial (BANSOS) Menggunakan Metode Simple Additive Weighting (SAW),” MALCOM Indones. J. Mach. Learn. Comput. Sci., vol. 4, no. 1, pp. 188–197, 2024, doi: 10.57152/malcom.v4i1.1057.
A. Ulya, M. Muliadi, R. Herteno, A. Farmadi, and F. Abadi, “Sistem Pendukung Keputusan Pemilihan Bibit Padi Berkualitas Pada Lahan Rawa Menggunakan Metode Dematel Dan Mfep,” Sebatik, vol. 28, no. 1, pp. 85–92, 2024, doi: 10.46984/sebatik.v28i1.2291.
T. P. Handayani, P. I. Wantu, and I. Ibrahim, “Perancangan Prototipe Website Sistem Pendukung Keputusan Pemilihan Penerima Bantuan Langsung Tunai Dana Desa,” Hello World J. Ilmu Komput., vol. 2, no. 2, pp. 85–101, 2023, doi: 10.56211/helloworld.v2i2.296.
A. F. Suahati, A. A. Nurrahman, A. Fadhilla, T. Sari, R. Alamiyah, and H. Santoso, “Perancangan Sistem Pendukung Keputusan Untuk Pemilihan Dosen Pembimbing Tugas Akhir Dengan Metode Simple Additive Weighting,” Ind. Inov. J. Tek. Ind., vol. 14, no. 2, pp. 183–190, 2024, doi: 10.36040/industri.v14i2.10813.
M. Marsono, S. Sudarmanto, H. Wasiati, and A. H. Nasyuha, “Sistem Pendukung Keputusan Manajemen Pemilihan Aplikasi Jasa Transportasi Online Menerapkan Metode ROC dan WASPAS,” Build. Informatics, Technol. Sci., vol. 5, no. 1, pp. 264–273, 2023, doi: 10.47065/bits.v5i1.3613.
F. Siringoringo, “Sistem Pendukung Keputusan Pemilihan Penerima Bantuan Sosial Menggunakan Metode Electre & Roc,” Manag. Inf. Syst. J., vol. 1, no. 3, pp. 85–95, 2023, doi: 10.47065/mis.v1i3.746.
F. Solifiah Batubara, A. Halim Hasugian, and H. Santoso, “Aplikasi Sistem Pendukung Keputusan Menggunakan Algoritma C5 Untuk Menentukan Penerima Bantuan Sosial,” J. Ilm. Bin. STMIK Bina Nusant. Jaya Lubuklinggau, vol. 5, no. 2, pp. 223–231, 2023, doi: 10.52303/jb.v5i2.115.
W. A. S, S. Ramadhani, and S. Jesika, “Implementation of Multi-Attribute Utility Theory (MAUT) Method in Gaming Laptop Selection,” J. Bumigora Inf. Technol., vol. 6, no. 1, pp. 73–84, 2024, doi: 10.30812/bite.v6i1.4083.
A. D. Marchania and I. Prabawati, “Evaluasi Program Keluarga Harapan (Pkh) Pada Komponen Pendidikan Di Desa Sidorejo Kecamatan Krian Kabupaten Sidoarjo,” Publika, vol. 12, no. 2, pp. 451–464, 2024, doi: 10.26740/publika.v12n2.p451-464.
R. Nurhaliza, N. Nurwati, and S. Santoso, “Implementasi Metode Multi Attribute Utility Theory pada Sistem Pendukung Keputusan dalam Pemilihan Siswa Unggulan,” Edumatic J. Pendidik. Inform., vol. 8, no. 1, pp. 123–132, 2024, doi: 10.29408/edumatic.v8i1.25600.
I. Irawati, R. Adawiyah, and Q. Qammaddin, “Sistem Klasifikasi Status Sosial Ekonomi Keluarga di Desa Popalia Menggunakan Metode K-NN,” J. Sains dan Inform., vol. 10, no. 1, pp. 11–20, 2024, doi: 10.34128/jsi.v10i1.955.
Y. A. K. Ningtyas and D. A. Diartono, “Studi Perbandingan Metode SAW dan Metode AHP dalam Sistem Pendukung Keputusan Seleksi Kelayakan Calon Penerima Bantuan Progam Keluarga Harapan,” J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 8, no. 3, pp. 587–596, 2024, doi: 10.35870/jti k.v8i3.2059.
B. A. Sandi and Y. E. Wibawa, “Sistem Pendukung Keputusan Pemberian Kredit Koperasi Simpan Pinjam Menggunakan Metode MARCOS dan Rank Order Centroid,” J. Ilm. Inform. dan Ilmu Komput., vol. 3, no. 1, pp. 1–12, 2024, doi: 10.58602/jima-ilkom.v3i1.22.
R. H. Maharrani, A. R. Supriyono, and L. Syafirullah, “SIPGANG: Sistem Pendukung Keputusan Rekomendasi Magang Industri Berbasis Multi Attribute Utility Theory (MAUT),” J. Edukasi dan Penelit. Inform., vol. 7, no. 3, p. 473, 2021, doi: 10.26418/jp.v7i3.49478.
I. Alfansyah, J. Sibagariang, R. Fadillah, and D. Assarani, “Sistem Pendukung Keputusan Seleksi Dosen Non Komputer Terbaik Menerapkan Metode SAW,” J. Decis. Support Syst. Res., vol. 1, no. 1, pp. 30–36, 2023.
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