Digitalisasi Pengambilan Keputusan Produksi melalui Aplikasi Mobile Berbasis TOPSIS pada UMKM
DOI:
https://doi.org/10.58192/sejahtera.v5i3.5282Keywords:
Decision Support System, Mobile Application, MSMEs, Production Priority, TOPSISAbstract
Micro, Small, and Medium Enterprises (MSMEs) continue to face challenges in making operational decisions, particularly in determining production priorities, which are often based on intuition rather than systematic data analysis. This condition was identified at Dapur Mom Two R, a culinary MSME in Malang City, where production decisions considered sales volume, product profit, remaining stock, and customer ratings without an integrated evaluation mechanism. This community service program aimed to develop and implement an Android-based Decision Support System (DSS) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to support objective production prioritization. The implementation method consisted of problem identification, system requirements analysis, application design, mobile application development, and integration of the TOPSIS algorithm into the application. The developed system provides features for product data management, criteria input, automatic TOPSIS calculation, and production priority ranking. The implementation results demonstrate that the application successfully integrates the TOPSIS algorithm into a mobile platform and is capable of automatically ranking products based on predefined criteria. The application has reached the implementation stage and is ready to be deployed in operational activities at the partner MSME. This digital solution is expected to facilitate data-driven decision making and strengthen digital transformation initiatives for MSMEs through practical adoption of mobile decision support technology.
References
Alawiah, E. T., Sunarti, S., & Pahlevi, O. (2026). Decision Support System for Selecting Digital Platforms to Enhance MSME Product Brand Awareness Using the TOPSIS Method. JOINS (Journal of Information System), 11(1), 53–58. https://doi.org/10.33633/joins.v11i1.15787
Behzadian, M., Khanmohammadi Otaghsara, S., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051–13069. https://doi.org/10.1016/j.eswa.2012.05.056
Hwang, C.-L., & Yoon, K. (1981). Multiple Attribute Decision Making. In Lecture Notes in Economics and Mathematical Systems (Vol. 186). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-48318-9
Kartini, D. (2025). Evaluation of the Effect of Decision Support Systems on the Performance of Micro, Small, and Medium Enterprises. Journal of Technology and Computer, 2(1), 37–41. https://journal.technolabs.co.id/index.php/jotechcom/article/view/44
Kemmis, S., McTaggart, R., & Nixon, R. (2014). The action research planner: Doing critical participatory action research. The Action Research Planner: Doing Critical Participatory Action Research, 1–200. https://doi.org/10.1007/978-981-4560-67-2
Khotimah, B. K., Anamisa, D. R., Kustiyahningsih, Y., Fauziah, A. N., & Setiawan, E. (2024). Enhancing Small and Medium Enterprises: A Hybrid Clustering and AHP-TOPSIS Decision Support Framework. Ingenierie Des Systemes d’Information, 29(1), 313–321. https://doi.org/10.18280/isi.290131
Kusuma, F., Fatima, I., Yuningtyas, L. A., & Octaviani, D. (2024). “E-UMKM” Mobile Application to Increase Productivity and Competitiveness of MSMEs in the Digital Era: Evaluation and Implementation in the Digital Era. Vokasi Unesa Bulletin of Engineering, Technology and Applied Science, 1(2), 48–60. https://doi.org/10.26740/vubeta.v1i2.34877
Purnomo, P., Sigit, N., Wicaksono, S. R., & Setyawan, R. (2026). Lean Manufacturing Development Model for Production Cost Reduction in Small and Medium Industries ( SMEs ) of Tempeh Food with a Green Manufacturing Approach. ESMB, 4(02), 592–607. https://doi.org/10.58812/esmb.v4i02
Turban, E., E. Aronson, J., & Liang, T.-P. (2005). Decision Support Systems and Business Intelligence. In Decision Support and Business Intelligence Systems, 7/E. Prentice Hall. https://doi.org/10.1017/CBO9781107415324.004
Tzeng, G. H., & Huang, J. J. (2011). Multiple attribute decision making: Methods and applications. Multiple Attribute Decision Making: Methods and Applications, 1–333.
Váz, P. (2026). Evaluating digital transformation in SMEs through value creation, strategic management, and sustainability. Administrative Sciences, , Article 316, 16(7). https://doi.org/10.3390/admsci16070316
Wicaksono, S. R. (2023). TOPSIS - Teori dan Implementasi. Seribu Bintang. https://doi.org/10.5281/zenodo.8035225
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Soetam Rizky Wicaksono, Rudy Setiawan, Muhammad Nurwegiono
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
