Sistem Pendukung Keputusan Pemilihan Armada Distribusi Program Makanan Bergizi Gratis Berbasis Web Menggunakan Metode TOPSIS di Kabupaten Sumba Barat

Apliana Willu Dapa; Andreas Ariyanto Rangga; Diana Reby Sabawaly

doi:10.69693/ijmst.v4i3.14059

Authors

Apliana Willu Dapa Universitas Stella Maris Sumba
Andreas Ariyanto Rangga Universitas Stella Maris Sumba
Diana Reby Sabawaly Universitas Stella Maris Sumba

DOI:

https://doi.org/10.69693/ijmst.v4i3.14059

Keywords:

Sistem Pendukung Keputusan, TOPSIS, Armada Distribusi, Makan Bergizi Gratis, Sumba Barat

Abstract

Program Makan Bergizi Gratis (MBG) memerlukan distribusi makanan yang tepat waktu, aman, efisien, dan sesuai dengan karakteristik wilayah. Pemilihan armada menjadi keputusan penting karena kendaraan berbeda dalam usia, efisiensi bahan bakar, kapasitas, biaya operasional, waktu tempuh, keamanan distribusi, dan kemampuan menghadapi kondisi jalan. Penelitian ini bertujuan membangun model sistem pendukung keputusan berbasis web untuk menentukan prioritas armada distribusi MBG di Kabupaten Sumba Barat menggunakan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Penelitian menggunakan tiga alternatif, yaitu Suzuki APV Blind Van (A1), Suzuki Carry 1.5 Pick Up Box (A2), dan Daihatsu Gran Max Box (A3), serta sembilan kriteria. Bobot kriteria ditetapkan sebesar 0,10 untuk usia, 0,10 kondisi, 0,15 konsumsi bahan bakar, 0,15 kapasitas, 0,08 kesesuaian jenis, 0,15 biaya operasional, 0,10 waktu tempuh, 0,12 keamanan distribusi, dan 0,05 kemampuan jalan. Proses TOPSIS meliputi normalisasi, pembobotan, penentuan solusi ideal, penghitungan jarak, nilai preferensi, dan pemeringkatan. Pada dataset perhitungan yang digunakan, A2 memperoleh nilai preferensi tertinggi sebesar 0.7581, diikuti A3 sebesar 0.4058 dan A1 sebesar 0.2419. Analisis sensitivitas terhadap beberapa perubahan bobot mempertahankan A2 pada posisi pertama. Sistem web yang dirancang menyediakan modul data armada, kriteria, penilaian, perhitungan TOPSIS, ranking, dan laporan optimum guna mendukung kelancaran program pemerintah di tingkat daerah.

References

1. Agustini, I. T. W., Deliarnoor, N. A., & Kartini, D. S. (2025). Government Instruments and Challenges in the Free Nutritious Meal Program (MBG) in Bandung City. Journal of Local Government Issues, 8(2), 320–337. https://doi.org/10.22219/logos.v8i2.41554

2. Bilişik, Ö. N., Duman, N. H., & Taş, E. (2024). A novel interval-valued intuitionistic fuzzy CRITIC-TOPSIS methodology: An application for transportation mode selection problem for a glass production company. Expert Systems with Applications, 235, 121134. https://doi.org/10.1016/j.eswa.2023.121134

3. Boztepe. (2026). Heavy-Duty Vehicle Selection by Using AHP and TOPSIS Methods: The Green Logistics Perspective. Prizren Social Science Journal, 10(2), 120–147. https://doi.org/10.32936/pssj.v10i2.826

4. Dharmalingam, R., Mahapatra, G. S., Georgise, F. B., & Deb, S. (2024). Comparative Ranking Preferences Decision Analysis through a Novel Fuzzy TOPSIS Technique for Vehicle Selection. Journal of Engineering, 2024, 6812801. https://doi.org/10.1155/2024/6812801

5. Ependi, V. J. A. N., & Gunawan, D. (2026). Implementation of the TOPSIS Algorithm in a Car Purchase Decision-Making System. Journal of Technology and Informatics, 8(1). https://doi.org/10.37802/joti.v8i1.1272

6. Haq, A. W. C., Mulyati, E., & Lestiani, M. E. (2026). Determinants of Beneficiary Satisfaction in the Free Nutritious Meal Program Based on Packaging Quality, Food Quality, and MBG Delivery Vehicles: The Mediating Role of Distribution Performance. Siber Journal of Transportation and Logistics, 4(2). https://doi.org/10.38035/sjtl.v4i2.1103

7. Hermanto, D., & Saragih, L. (2026). Logistics Management in Indonesia’s Free Nutritious Meals Program: A Qualitative Case Study of Last-Mile Distribution Challenges. Jurnal Ilmiah Manajemen Kesatuan, 14(4), 3097–3106. https://doi.org/10.37641/jimkes.v14i4.5322

8. Kaylla, M. R., Aulis, H. S., Salsabila, Z. Z., & Rohimi, I. A. A. (2026). Distribusi Pasokan Bahan Pangan pada Program Makan Bergizi Gratis (MBG) Daerah Sarijadi. Sinergi: Jurnal Ilmiah Multidisiplin, 2(2), 1570–1584. https://publikasi.ahlalkamal.com/index.php/sinergi/article/view/389

9. Kusuma, A. W. (2025). Supply Chain Management for Enhancing the Effectiveness of Free Nutritious Meal Programs. International Journal of Applied Business and International Management, 10(3), 815–827. https://doi.org/10.32535/ijabim.v10i3.4512

10. Prasetyo, D., Arianto, O. D., Firmannandya, A., & Putranto, T. D. (2026). School SPPG Coordination in Indonesia’s Free Nutritious Meal Program (MBG): A Case Study in Bojonegoro, East Java. Jurnal Bina Praja, 18(1), 19–34. https://doi.org/10.21787/jbp.18.2026.2955

11. Setiawan, I. C., Setiyo, M., & Rochman, M. L. (2026). Addressing National Needs: Design Thinking-Driven Engineering of a Multi-Purpose Logistics Vehicle for Indonesia’s Free Nutritious Meals (MBG) Program. Automotive Experiences, 9(1), 1–8. https://doi.org/10.31603/ae.16146

12. Serang, A. E., Bolang, A. S. M., & Lapian, S. L. H. V. J. (2025). Strengthening Logistics and Distribution Systems in the Implementation of Free Nutritious Meal Programs in Secondary Schools. International Journal of Applied and Scientific Research, 3(12), 1193–1202. https://doi.org/10.59890/ijasr.v3i12.166

13. Sukmasari, D., Aritonang, S., Sudiarso, A., & Pujianto, K. (2025). Optimization of Free Nutritious Meal Supply Chain Program in Support of Indonesia’s Non-Military Defense Force. Jurnal Ilmiah Global Education, 6(3), 2202–2209. https://doi.org/10.55681/jige.v6i3.4195

14. Syahputra, I., Zalukhu, A. I., Suhardiansyah, Indrayani, M., Sari, A. O., Sartika, D., & Sugito, B. (2026). Optimasi Distribusi Makan Bergizi Gratis berbasis Vehicle Routing Problem with Time Windows (VRPTW). Management of Information System Journal, 4(3). https://doi.org/10.47065/mis.v4i3.2996

15. Yanto, B., Saragih, R., Lubis, A., Prasiwiningrum, E., & Wahyuny, R. (2026). Multi-Objective Reinforcement Learning for Supply Chain Optimization in Indonesia’s Free Nutritious Meal Program. International Journal of Information Technology and Business, 18–27. https://doi.org/10.24246/ijiteb.822026.18-27