Application of the TOPSIS Method for Electronic Supplier Selection Based on Multi-Criteria

Isi Artikel Utama

Chairunnisa Selviani
Dewi Aslamiah Nasution
Nabila Amelia
Nadya Putri Zulida
Nisya Aulia Salsabila
Muhammad Romi Syahputra

Abstrak

Supplier selection in the electronics industry is highly complex due to the numerous and often conflicting assessment parameters. These parameters include economic aspects, product quality, delivery reliability, and environmental impact. This study uses the TOPSIS method to objectively rank suppliers based on four main criteria with their respective weights: product quality (30%), price (25%), delivery accuracy (25%), and sustainability (20%). Simulation data is used as an example to demonstrate how this method is applied. The assessment results show that PT Green Component (S5) is ranked first with a closeness coefficient of  0.7777, followed by PT Techno Supply (S3) with a score of 0.7577. Sensitivity tests using four weighting change scenarios show stable results, with S5 and S3 remaining in the top two rankings. These findings indicate that balancing product quality and environmental sustainability is a key factor in differentiating competitive advantage in the modern supply chain management era. The TOPSIS approach has proven effective as a structured and transparent framework to assist decision-making in the supplier selection process in the electronics industry.

Rincian Artikel

Bagian
Articles

Referensi

Gunawan, R. D. (2024). Penerapan Sistem Pendukung Keputusan dalam Pemilihan Supplier dengan Metode TOPSIS. Journal of Information Technology, Software Engineering and Computer Science (ITSECS), 2(3), 150-159. https://doi.org/10.58602/itsecs.v2i3.157

Lukmandono, L., Basuki, M., Hidayat, M. J., & Setyawan, V. (2019). Pemilihan Supplier Industri Manufaktur dengan Pendekatan AHP dan TOPSIS. OPSI, 12(2), 83-93. https://doi.org/10.31315/opsi.v12i2.3146

Masudin, I., Habibah, I. Z., Wardana, R. W., Restuputri, D. P., & Shariff, S. S. R. (2024). Enhancing Supplier Selection for Sustainable Raw Materials: A Comprehensive Analysis Using Analytical Network Process (ANP) and TOPSIS Methods. Logistics, 8(3), 74. https://doi.org/10.3390/logistics8030074 MDPI+1

Menon, R. R., & Ravi, V. (2022). Using AHP–TOPSIS methodologies in the selection of sustainable suppliers in an electronics supply chain. Cleaner Materials, 5, 100130. https://doi.org/10.1016/j.clema.2022.100130 ScienceDirect+1

Qu, G., Zhang, Z., Qu, W., & Xu, Z. (2020). Green supplier selection based on green practices evaluated using fuzzy approaches of TOPSIS and ELECTRE with a case study in a Chinese internet company. International Journal of Environmental Research and Public Health, 17(9), 3268. https://doi.org/10.3390/ijerph17093268

Sureeyatanapas, P., Poophiukhok, P., & Pathumnakul, S. (2020). Resilient supplier selection in electronic components procurement: An integration of evidence theory and rule-based transformation into TOPSIS to tackle uncertain and incomplete information. Symmetry, 12(7), 1109. https://doi.org/10.3390/sym12071109

Syahputra, A., Diana, A., & Achadiani, D., (2024). Penerapan Metode Analytical Hierarchy Process dan Simple Additive Weighting untuk Pemilihan Supplier Toko Beras. IDEALIS: InDonEsiA journaL Information System, 7(2), 198-204. https://doi.org/10.36080/idealis.v7i2.3169

Tian, Z. P., Zhang, H. Y., Wang, J. Q., & Wang, T. L. (2018). Green supplier selection using improved TOPSIS and best-worst method under intuitionistic fuzzy environment. Informatica, 29(4), 773-800. https://doi.org/10.15388/Informatica.2018.186