Sistem Pendukung Keputusan Penentuan Kelayakan Penerima Program Keluarga Harapan Menggunakan Metode TOPSIS
Keywords:
beneficiary Selection, conditional cash transfer, decision support system, program keluarga harapan, TOPSISAbstract
The selection of beneficiaries for the Program Keluarga Harapan (PKH) often faces issues of inaccurate targeting due to selection processes that are not fully objective and structured. This study aims to develop a Decision Support System (DSS) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to determine the eligibility of PKH beneficiaries in Simarimbun Subdistrict, Pematangsiantar City. This research adopts a quantitative approach using primary data collected through questionnaires from 30 potential beneficiaries. The criteria used include education level, income, number of dependents, and housing conditions. The data were processed using the TOPSIS method to generate preference values and rank the alternatives. The results show that the system classified 11 alternatives (36.67%) as eligible and 19 alternatives (63.33%) as ineligible. The developed system provides consistent, criteria-based recommendations, thereby improving objectivity in the beneficiary selection process. This study contributes by providing a structured system-based approach and decision-making method to support more accurate targeting in social assistance distribution.
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References
A. Muhazir, N. Nehe, M. I. Abidi, W. R. Maya, Elfitriani, and Harmayani, “Poverty level prediction analysis based on bps data using simple moving average method,” in AIP Conference Proceedings, AIP Publishing LLC, 2024, p. 40010.
A. Yulianto, B. Plangsorn, M. A. Puspita, and T. W. Veronika, “Poverty line and multidimensional poverty index through Sustainable Development Goals in Indonesia,” in E3S Web of Conferences, EDP Sciences, 2024, p. 4019.
E. Ariyanto and M. K. R. Nugraha, “Population vs. poverty level in the future in Indonesia: Holt’s linear trend method,” Int. J. Sustain. Dev. Plan., vol. 19, no. 7, pp. 2763–2770, 2024.
O. J. Harmaja, M. S. Hutauruk, and M. Simarmata, “Sistem penunjang keputusan penerima program keluarga harapan dengan menggunakan metode topsis,” J. Tek. Inf. Dan Komput., vol. 3, no. 2, p. 37, 2021.
W. Wahyuni, R. Dwiarto, R. S. Suwarno, and B. Giyanto, “Evaluasi Kebijakan Perlindungan Sosial dan Pengentasan Kemiskinan Melalui Program Keluarga Harapan (PKH),” J. Pembang. Dan Adm. Publik, pp. 11–22, 2023.
F. P. G. AP, E. Rimawati, and S. Tomo, “Sistem pendukung keputusan penerima bantuan PKH (Program Keluarga Harapan) dengan metode perbandingan eksponensial,” J. Ilm. SINUS, vol. 21, no. 1, pp. 51–60, 2023.
E. Y. Anggraeni and Y. Rosalia, “Sistem pendukung keputusan penentuan penerima bantuan program keluarga harapan (PKH) menggunakan metode TOPSIS (studi kasus Pekon Talang Padang Kabupaten Tanggamus),” J. Cendikia, vol. 20, no. 1, pp. 462–469, 2020.
A. P. Anggraeni and A. A. Nugroho, “Evaluasi Kebijakan Pkh (Program Keluarga Harapan) Di Indonesia,” J. Public Policy Appl. Adm., 2022.
F. Irawan, “Sistem Penunjang Keputusa Sistem Pendukung Keputusan Penerima Program Keluarga Harapan (PKH) Menggunakan Metode AHP Dan TOPSIS (Studi Kasus: Kelurahan Sribasuki Kotabumi),” Aisyah J. Informatics Electr. Eng, vol. 2, no. 2, pp. 171–178, 2020.
R. H. Septy and M. Devega, “Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai (Blt) Menggunakan Metode Topsis Dan Saw (Studi Kasus Di Kantor Lurah Limbungan),” Zo. J. Sist. Inf., vol. 4, no. 1, pp. 77–89, 2022.
G. J. M. Sinaga, “Decision Support System for Determining the Eligibility of Economically Disadvantaged Students for Assistance Using the K-Means and MOORA Methods,” ITEJ Inf. Technol. Eng. Journals, vol. 10, pp. 14–28, 2025.
N. R. P. Mulyo, M. A. D. Widyadara, and L. S. Wahyuniar, “Analisis Perbandingan Metode SAW dan TOPSIS Pada Sistem Rekomendasi Penerima Bantuan Sosial,” in Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 2025, pp. 771–779.
A. S. Sopandi, D. Gustian, F. Sembiring, N. D. Arianti, and A. Setiawati, “Sistem pendukung keputusan penerima bantuan sosial tunai dengan metode technique for order preference by similarity to ideal solution,” J. Rekayasa Teknol. Nusa Putra, vol. 8, no. 2, pp. 111–122, 2022.
S. Firmansyah, J. D. Irawan, and N. Vendyansyah, “Sistem Pendukung Keputusan Penerima Bantuan Pangan Non Tunai Menggunakan Metode Topsis,” JATI (Jurnal Mhs. Tek. Inform., vol. 7, no. 4, pp. 2203–2209, 2023.
Y. Hadrianti, M. Musyirifah, and F. Wajidi, “Sistem Pendukung Keputusan Penerima Bantuan Bencana Alam Menggunakan Metode Topsis,” J-Icon J. Komput. dan Inform., vol. 11, no. 2, pp. 185–194, 2023.
S. Chakraborty, P. Chatterjee, and P. P. Das, “Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS),” in Multi-Criteria Decision-Making Methods in Manufacturing Environments, Apple Academic Press, 2023, pp. 85–97.
F. Hosseinzadeh Lotfi, T. Allahviranloo, W. Pedrycz, M. Shahriari, H. Sharafi, and S. Razipour GhalehJough, “Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS) in Uncertainty Environment,” in Fuzzy Decision Analysis: Multi Attribute Decision Making Approach, Springer, 2023, pp. 141–178.
