skip to main content

ANALISIS PEMILIHAN SUPPLIER BAUT MENGGUNAKAN METODE AHP-TOPSIS PT. STECHOQ ROBOTIKA INDONESIA

*Dzikri Rivaldi  -  Universitas Pembangunan Nasional Veteran Jawa Timur, Indonesia
Farida Pulansari orcid scopus publons  -  Universitas Pembangunan Nasional Veteran Jawa Timur, Indonesia
Ardi Puspa Kartika  -  PT. Stechoq Robotika Indonesia, Indonesia

Citation Format:
Abstract

Dewasa ini permasalahan di dunia industri semakin kompleks dan dinamis, tak terkecuali terkait permasalahan pemilihan pemasok (supplier). Pemilihan pemasok telah berpengaruh signifikan terhadap kesuksesan logistik dan manajemen rantai pasokan. PT. Stechoq Robotika Indonesia adalah perusahaan R&D dan manufaktur di D.I. Yogyakarta yang memproduksi Genose, Ventilator, DCS, dan lainnya. Komponen baut merupakan salah satu komponen yang selalu digunakan dan harus dipastikan ketersediaanya melalui penilaian pemasok. Penelitian ini dilakukan untuk menentukan supplier baut yang terbaik berdasarkan kriteria dan subkriteria yang telah ditentukan. Variabel meliputi: harga, kualitas, pengiriman, ketepatan kuantitas, dan pelayanan. Untuk menentukan urutan preferensi pemasok baut, penelitian ini menggunakan AHP yang memberikan skor probabilitas individu untuk setiap kriteria, dan TOPSIS, yang memberi pengguna indikasi pemasok mana yang harus dipilih saat memilih baut. Sebagai hasil dari pengolahan data, pemasok diberi peringkat berdasarkan preferensi mereka. Nilai preferensi untuk setiap pemasok adalah: pemasok 1, sebesar 0.6295; pemasok 2 sebesar 0.5648; pemasok 3 sebesar 0.6288; pemasok 4 sebesar 0.3156; pemasok 5 sebesar 0.4445, pemasok 6 sebesar 0.5343; dan pemasok 7 sebesar 1.0000. Ada lima parameter yang digunakan dalam penelitian ini, dan kualitas diketahui memiliki pengaruh terbesar sekitar 35.5%.

 

Abstract

[Analyze of Bolt Supplier Selection Using the Method AHP-TOPSIS PT. Stechoq Robotika Indonesia] Today problems in the industrial world are increasingly complex and dynamic, including the matter of supplier selection. Supplier selection has a significant effect on the success of logistics and supply chain management. PT. Stechoq Robotika Indonesia is an R&D and manufacturing company in D.I. Yogyakarta produces Genose, Ventilator, DCS, and others. Bolt components are one of the components that are always used and their availability must be ensured through supplier assessment. This research was conducted to determine which bolt supplier is the best based on predetermined criteria and sub-criteria. Variables include price, quality, delivery, quantity accuracy, and service. To determine the preference order of bolt suppliers, this study uses AHP which assigns individual probability scores for each criterion, and TOPSIS, which gives users an indication of which supplier to choose when selecting bolts. As a result of data processing, suppliers are ranked based on their preferences. The preference value for each supplier is: supplier 1, equal to 0.6295; supplier 2 of 0.5648; supplier 3 of 0.6288; supplier 4 of 0.3156; supplier 5 is 0.4445, supplier 6 is 0.5343; and supplier 7 of 1.0000. Of the five parameters used in this research, quality has to have the most influence at 35.5%.

Keywords: AHP; Supplier Selection; TOPSIS

Note: This article has supplementary file(s).

Fulltext View|Download |  Data Analysis
Perhitungan AHP
Subject
Type Data Analysis
  Download (36KB)    Indexing metadata
 Data Analysis
Perhitungan TOPSIS
Subject
Type Data Analysis
  Download (717KB)    Indexing metadata
Keywords: AHP; Pemilihan Supplier; TOPSIS

Article Metrics:

  1. Asadabadi, M. R., Chang, E., & Saberi, M. (2019). Are MCDM methods useful? A critical review of Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP). Cogent Engineering, 6(1). https://doi.org/10.1080/23311916.2019.1623153
  2. Bai, C., Kusi-Sarpong, S., Badri Ahmadi, H., & Sarkis, J. (2019). Social sustainable supplier evaluation and selection: a group decision-support approach. International Journal of Production Research, 57(22), 7046–7067. https://doi.org/10.1080/00207543.2019.1574042
  3. Bakhtiar, A., Rahmadani, D., Lathuihamalo, D., & Maulana, B. (2021). Analisis Pemilihan Supplier Menggunakan Metode Analytical Network Process (Anp) Pada Pengadaan Komponen Rail Pad 158-7 (Studi Kasus : Pt Pindad (Persero)). J@ti Undip : Jurnal Teknik Industri, 16(1), 1–9. https://doi.org/10.14710/jati.16.1.1-9
  4. Çelikbilek, Y., & Tüysüz, F. (2020). An in-depth review of theory of the TOPSIS method: An experimental analysis. Journal of Management Analytics, 7(2), 281–300. https://doi.org/10.1080/23270012.2020.1748528
  5. Chen, C. H. (2020). A novel multi-criteria decision-making model for building material supplier selection based on entropy-AHP weighted TOPSIS. Entropy, 22(2), 10–12. https://doi.org/10.3390/e22020259
  6. Gao, H., Ju, Y., Santibanez Gonzalez, E. D. R., & Zhang, W. (2020). Green supplier selection in electronics manufacturing: An approach based on consensus decision making. Journal of Cleaner Production, 245, 118781. https://doi.org/10.1016/j.jclepro.2019.118781
  7. Hadiwiyanti, R., & Martotenoyo, R. S. (2018). Pemilihan Supplier Bahan Baku Perbaikan Mesin. Jurnal Sistem Informasi Dan Bisnis Cerdas (SIBC), 11(1)
  8. Kumar, R., Padhi, S. S., & Sarkar, A. (2019). Supplier selection of an Indian heavy locomotive manufacturer: An integrated approach using Taguchi loss function, TOPSIS, and AHP. IIMB Management Review, 31(1), 78–90. https://doi.org/10.1016/j.iimb.2018.08.008
  9. Lei, F., Wei, G., Gao, H., Wu, J., & Wei, C. (2020). TOPSIS Method for Developing Supplier Selection with Probabilistic Linguistic Information. International Journal of Fuzzy Systems, 22(3), 749–759. https://doi.org/10.1007/s40815-019-00797-6
  10. Luan, J., Yao, Z., Zhao, F., & Song, X. (2019). A novel method to solve supplier selection problem: Hybrid algorithm of genetic algorithm and ant colony optimization. Mathematics and Computers in Simulation, 156, 294–309. https://doi.org/10.1016/j.matcom.2018.08.011
  11. Lukmandono, L., Basuki, M., Hidayat, M. J., & Setyawan, V. (2019). Pemilihan Supplier Industri Manufaktur Dengan Pendekatan AHP dan TOPSIS. Opsi, 12(2), 83. https://doi.org/10.31315/opsi.v12i2.3146
  12. Memari, A., Dargi, A., Akbari Jokar, M. R., Ahmad, R., & Abdul Rahim, A. R. (2019). Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method. Journal of Manufacturing Systems, 50(October 2019), 9–24. https://doi.org/10.1016/j.jmsy.2018.11.002
  13. Mukherjee, K. (2017). Supplier selection: An MCDA-Based Approach. In Studies in Systems, Decision and Control
  14. Putri, F. K., & Pulansari, F. (2022). PVC Resin Supplier Selection with Integration of AHP and TOPSIS Methods. Jurnal Manajemen Industri dan Logistik, 6(1), 84–98. https://doi.org/10.30988/jmil.v6i1.952
  15. Schramm, V. B., Cabral, L. P. B., & Schramm, F. (2020). Approaches for supporting sustainable supplier selection - A literature review. Journal of Cleaner Production, 273, 123089. https://doi.org/10.1016/j.jclepro.2020.123089
  16. Sedghiyan, D., Ashouri, A., Maftouni, N., Xiong, Q., & Rezaee, E. (2021). 6F64428425B2D34E113E4C74406Fe67D.Pdf. Sustainable Energy Technologies and Assessments, 44(August 2020)
  17. Taherdoost, H., & Brard, A. (2019). Analyzing the Process of Supplier Selection Criteria and Methods. Procedia Manufacturing, 32, 1024–1034. https://doi.org/10.1016/j.promfg.2019.02.317
  18. Vafaei, N., Ribeiro, R. A., & Camarinha-Matos, L. M. (2021). Assessing Normalization Techniques for Simple Additive Weighting Method. Procedia Computer Science, 199, 1229–1236. https://doi.org/10.1016/j.procs.2022.01.156
  19. Zhou, X., & Xu, Z. (2018). An integrated sustainable supplier selection approach based on hybrid information aggregation. Sustainability (Switzerland), 10(7). https://doi.org/10.3390/su10072543

Last update:

No citation recorded.

Last update: 2024-05-28 17:23:44

No citation recorded.