EVALUASI KINERJA DISTRIBUTOR PT BCD MENGGUNAKAN METODE TOPSIS BERDASARKAN JUMLAH KLAIM DISKON DAN JUMLAH TOKO

Amanda Rahma Tri Astuti; Dimas Nugroho Dwi Seputro

doi:10.29062/mahardika.v24i2.1438

Penulis

Amanda Rahma Tri Astuti Universitas Pembangunan Nasional Veteran Jawa Timur
Dimas Nugroho Dwi Seputro Universitas Pembangunan Nasional Veteran Jawa Timur

DOI:

https://doi.org/10.29062/mahardika.v24i2.1438

Kata Kunci:

Productivity, Distributors, Productivity Index, TOPSIS

Abstrak

This study aims to evaluate the performance of PT BCD distributors based on the intensity of discount claims and the number of stores managed. Performance evaluation was conducted using a quantitative approach by combining the Productivity Index (PI) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The PI method was used as an initial stage to measure productivity per store and filter distributors with the highest claim intensity. Based on the PI calculation results, ten distributors with the highest productivity values were obtained and further analyzed using the TOPSIS method as a multi-criteria decision-making approach. The TOPSIS method was applied through the stages of decision matrix formation, data normalization, criteria weighting, determination of positive and negative ideal solutions, distance calculation, and determination of preference values and distributor rankings. The results of the study show a difference in rankings between the PI and TOPSIS methods, indicating that distributor performance evaluation cannot be based solely on a single ratio indicator. The integration of PI and TOPSIS produces a more comprehensive and objective evaluation framework, which can be used as a basis for managerial decision-making in controlling discount claims and fostering distributor performance.

Unduhan

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Referensi

Aziz, A. and Misdram, M. (2018). Kombinasi metode f-ahp dan f-topsis dengan rasio keuangan untuk menentukan peringkat bank perkreditan rakyat di kota malang. Smartics Journal, 4(2), 34-38.

Bouhedja, S., Boukhaled, A., Bouhedja, A., & Benselhoub, A. (2020). Use of the topsis technique to choose the best supplier of quarry natural aggregate. Mining of Mineral Deposits, 14(1), 11-18.

Fadli, S. (2019). Penggunaan metode techique for order preference by similarity to ideal solution (topsis) untuk evaluasi kinerja dosen oleh mahasiswa (studi kasus: stmik lombok). Jisa(jurnal Informatika Dan Sains), 1(2).

Hasanah, N., Wahyuda, W., & Sukmono, Y. (2023). Perancangan dan pengukuran kinerja supply chain pada sabrina bakery. Industri Inovatif Jurnal Teknik Industri, 13(1), 20-26.

Kholqi, H. and Septiarini, D. (2021). Pengungkapan icsr, reputasi, visibilitas dan profitabilitas bank syariah: penelitian dengan mediator dan moderator. Jurnal Ekonomi Syariah Teori Dan Terapan, 8(3), 338.

Li, M., Fu, C., Huang, J., & Liu, J. (2022). Reliability evaluation model of distribution network based on circuit structure. Journal of Physics Conference Series, 2310(1), 012070.

Parmata, U., B., S., & Rajashekhar, B. (2016). Measuring service quality in pharmaceutical supply chain – distributor’s perspective. International Journal of Pharmaceutical and Healthcare Marketing, 10(3), 258-284.

Pengaruh, K., Layanan, D., Atmosfer, T., Terhadap, K., Konsumen, T., Ritel, I., … & Konsumen, Y. (2018). Pengaruh kualitas layanan dan atmosfer toko terhadap kepuasan konsumen toko ritel. Jurnal Manajemen, 8(1), 10-19.

Pujotomo, D., Puspitasari, N., & Rizkiyani, D. (2017). Integrasi metode anp dan topsis dalam evaluasi kinerja supplier dan penentuan prioritas supplier bahan baku utama cetak koran pada pt masscom graphy semarang. J Ti Undip Jurnal Teknik Industri, 11(3), 151.

Redaelli, E., Paiva, E., & Teixeira, R. (2015). The relationship between manufacturer and distributors: knowledge transfer and performance. Bar - Brazilian Administration Review, 12(4), 421-441.

Revaldiwansyah, M. and Ernawati, D. (2021). Analisis pengukuran kinerja supply chain management dengan menggunakan metode supply chain operation referance (scor) berbasis anp dan omax (studi kasus pada pt. karya giri palma). Juminten, 2(3), 1-12.

Ristia, F., Diana, A., & Ariesta, A. (2022). Implementasi e-commerce dengan metode business model canvas (bmc) menggunakan content management system (cms) untuk meningkatkan penjualan pada distro betawi boys. Idealis Indonesia Journal Information System, 5(1), 30-39.

Ross, A. and Dröge, C. (2001). An integrated benchmarking approach to distribution center performance using dea modeling. Journal of Operations Management, 20(1), 19-32.

Safrizal, S. and Susianto, S. (2019). Pengembangan model sistem pendukung keputusan dengan kombinasi metode fuzzy tahani dan topsis dalam penilaian kinerja instruktur. J-Sakti (Jurnal Sains Komputer Dan Informatika), 3(2), 227.

Salim, E. and Yunus, E. (2024). Pengaruh big data analytics capability terhadap performa rantai pasok dan efek moderasi dari kemitraan. Jurnal Aplikasi Bisnis Dan Manajemen.

Sánchez, J., Elorza, M., Ramón-Jerónimo, M., & Pinzón, P. (2017). Linking decision-control and decision-management uses of performance measurement systems. International Journal of Physical Distribution & Logistics Management, 47(1), 84-103.

Semnasti, D. and Semnasti, H. (2023). Pengukuran kinerja manajemen rantai pasok dengan metode supply chain operation reference (scor) berbasis anp dan omax (studi kasus pt. y). Waluyo Jatmiko Proceeding, 261-270.

Sharma, D., Sahay, B., & Sachan, A. (2004). Modelling distributor performance index using system dynamics approach. Asia Pacific Journal of Marketing and Logistics, 16(3), 37-67.

Singh, B. and Goyal, V. (2024). The antecedents and consequence of distributor’s stewardship-oriented behaviors in manufacturer–distributor relationships. Journal of Business and Industrial Marketing, 40(1), 136-155.

Taraszkiewicz, N. (2020). Application of multi-criteria analysis in environmental impact assessment., 7.

Udo, A., Diemuodeke, O., Ojapah, M., Abam, F., & Ofodu, J. (2023). Thermodynamic and structural optimization of organic rankine cycle plant for clean energy access using artificial bee colony and multi-criteria decision-making algorithms. Journal of Energy and Power Technology, 05(02), 1-23.

Zavadskas, E., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. (2016). Development of topsis method to solve complicated decision-making problems — an overview on developments from 2000 to 2015. International Journal of Information Technology & Decision Making, 15(03), 645-682.