Algoritma Simple Additive Weighting pada SPK Penerima BPNT: Validasi Lapangan dengan Kriteria Nasional

Wajida Wajida; Muh Rafli Rasyid; Heliawati Hamrul

doi:10.29408/edumatic.v9i3.32322

Authors

Wajida Wajida Program Studi Teknik Informatika, Universitas Sulawesi Barat, Indonesia https://orcid.org/0009-0001-1609-2590
Muh Rafli Rasyid Program Studi Teknik Informatika, Universitas Sulawesi Barat, Indonesia https://orcid.org/0009-0002-8669-3620
Heliawati Hamrul Program Studi Teknik Informatika, Universitas Sulawesi Barat, Indonesia https://orcid.org/0009-0008-1505-5203

DOI:

https://doi.org/10.29408/edumatic.v9i3.32322

Keywords:

decision support system, non-cash food assistance, simple additive weighting

Abstract

The selection of Non-Cash Food Assistance (BPNT) recipients at the village level often suffers from inaccuracies and limited transparency due to reliance on manual, locally defined indicators. This study develops and validates a decision support system (DSS) based on the Simple Additive Weighting (SAW) method, integrating 14 nationally standardized criteria and a Live Ranking feature to enhance public accountability. The system was implemented using the Personal Extreme Programming (PXP) approach, encompassing planning, design, coding, testing, and deployment. Validation involved comparison with manual SAW calculations and black-box and white-box unit testing. Empirical testing with 30 real cases from Lagi-Agi Village demonstrated 100% accuracy, with system rankings fully consistent with manual results. The DSS ensures objective prioritization of recipients, offering a reliable tool to strengthen fairness, accountability, and transparency in BPNT distribution. Scientifically, this work extends the application of Multiple Attribute Decision Making (MADM) methods to social assistance programs, while practically supporting measurable and equitable aid allocation through the Live Ranking mechanism.

References

An’syah, M. A., & Widyasari. (2024). Implementasi metode SAW pada sistem pendukung keputusan seleksi penerima bantuan sembako masyarakat Desa Banyuurip. Jurnal Ilmiah Intech: Information Technology Journal of UMUS, 6(1), 14–24.

Aristiani, D., Setiawan, I. D., Utami, A. D. C., Saepudin, S., & Irawan, C. (2025). IT Support Division employee selection decision support system using Simple Additive Weighting method. Engineering Proceedings, 106. https://doi.org/10.3390/engproc2025107106

Djatmiko, G. H., Sinaga, O., & Pawirosumarto, S. (2025). Digital transformation and social inclusion in public services: A qualitative analysis of e-government adoption for marginalized communities in sustainable governance. Sustainability, 17(7), 1–28. https://doi.org/10.3390/su17072908

Fadhli, K., & Nazila, L. R. (2023). Pengaruh Implementasi Bantuan Sosial BPNT dan PKH terhadap Efektivitas Penanggulangan Kemiskinan. Education and Development Journal, 11(2), 196–202. https://doi.org/10.37081/ed.v11i2.4654

Fauzi, A., Firdaus Ivader, A., Achmad, R., Aji Nugroho, B., Wayan Parwati Septiani, N., & Lestari, M. (2024). Penerapan metode SAW untuk menentukan prioritas penambahan prasarana di Sekolah Dasar XYZ. Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI), 5(2), 396–405. https://doi.org/10.30998/jrami.v5i2.11070

Firmansyah, R., & Pahlevi, F. (2024). Sistem pendukung keputusan seleksi penerimaan bantuan sosial menggunakan metode Simple Additive Weighting di Desa Telaga. Jurnal Teknologi dan Sistem Informasi, 4(2), 45–53. https://doi.org/10.63703/sisfotekjar.v4i1.64

Haliim, W., & Muhammad, J. (2025). Inefficiency of social assistance in reducing poverty rates: Recommendations for alternative social policies for poverty alleviation in Indonesia. JKAP: Jurnal Kebijakan dan Administrasi Publik, 29(1), 89–109.

Hamest, T. (2023). Analysis of Simple Additive Weighting method (SAW) as a multi-attribute decision-making technique: A step-by-step guide. Journal of Management Science & Engineering Research, 6(1), 21–24. https://doi.org/10.30564/jmser.v6i1.5400

Hermawan, I., Izzaty, Budiyanti, E., Sari, R., Sudarwati, Y., & Teja, M. (2021). Efektivitas program bantuan pangan nontunai di Kota Yogyakarta. Jurnal Ekonomi dan Kebijakan Publik, 12(2), 131–145. https://doi.org/10.22212/jekp.v12i2.2237

Huda, N., Hasbi, M., & Susyanto, T. (2021). Seleksi penerima bantuan pangan non tunai di desa menggunakan metode Naïve Bayes dan Simple Additive Weighting. Jurnal Ilmiah SINUS, 19(1), 39–47. https://doi.org/10.30646/sinus.v19i1.525

Liu, Z., Wei, Y., Li, Q., & Lan, J. (2021). The mediating role of social capital in digital information technology poverty reduction: An empirical study in urban and rural China. Land, 10(6), 1–21. https://doi.org/10.3390/land10060634

Meko, D. A., Toy, A., & Baun, H. M. (2024). Sistem pendukung keputusan untuk penentuan kelayakan penerima. Jurnal Informatika dan Sistem Cerdas, 15(3), 1–13. https://doi.org/10.52972/hoaq.vol15no1.p1-13

Muhibah, F., & Tika, M. (2021). Sistem pendukung keputusan seleksi penerima program bantuan sosial menggunakan metode SAW. Emitor: Jurnal Teknik Elektro, 21(2), 109-117. https://doi.org/10.23917/emitor.v21i2.13956

Muntean, M., & Militaru, F. D. (2022). Design science research framework for performance analysis using machine learning techniques. Electronics, 11(16). https://doi.org/10.3390/electronics11162504

Paul, M., Reinbold, N., Ortiz, C., & Reinhart, G. (2025). Decision-support system for automotive recycling: Disassembling components before shredding? Procedia Computer Science, 253, 465–474. https://doi.org/10.1016/j.procs.2025.01.108

Prastyadi, M. A., Suparta, I. W., & Murwiati, A. (2021). Measuring the ability of poverty alleviation programs in reducing rural poverty levels in Eastern Indonesia. Jurnal Ekonomi Pembangunan, 19(1), 44–56.

Putra, P. P., Toresa, D., Fadrial, Y. E., Sari, P., Muzawi, R., Sularno, S., & Sahrun, N. (2022). Sistem pendukung keputusan penentuan penerima BLT menggunakan metode SAW. Jurnal Teknologi dan Sistem Informasi Bisnis, 4(2), 285–293. https://doi.org/10.47233/jteksis.v4i1.457

Rahmadani, A., Maharani, D., & Sahren, S. (2022). Simple Additive Weighting sebagai metode pendukung keputusan terhadap sistem customer satisfaction. Edumatic: Jurnal Pendidikan Informatika, 6(2), 296–305. https://doi.org/10.29408/edumatic.v6i2.6374

Sembiring, I. L. V. B. (2025). Sistem pendukung keputusan penerima bantuan sosial pada Desa Dalan Naman dengan metode SAW. Jurnal Informatika Press, 2(1), 1–7.

Wijaya, P. Y., & Suasih, N. R. (2021). One decade, 20 percent education budget: How about causality between education success and poverty? Jurnal Ekonomi Kuantitatif Terapan, 14(1), 173–183. https://doi.org/10.24843/JEKT.2021.v14.i01.p09