Sistem Pendukung Keputusan Berbasis Equal Weight-TOPSIS untuk Penilaian Kinerja Kurir Shopee Express

Jeseka Bintar Laksana; A.Sidiq Purnomo

doi:10.58794/jekin.v6i1.1934

Authors

Jeseka Bintar Laksana Fakultas Teknologi Informasi, Universitas Mercu Buana Yogyakarta
A.Sidiq Purnomo Universitas Mercu Buana Yogyakarta

DOI:

https://doi.org/10.58794/jekin.v6i1.1934

Keywords:

Sistem Pendukung Keputusan, Equal Weight, Topsis, Penilaian Kinerja Kurir, Logistic Ecomarce

Abstract

Pertumbuhan logistik e-commerce di Indonesia meningkatkan kebutuhan evaluasi kinerja kurir yang objektif. Sistem evaluasi yang ada sering kali subjektif dan tidak terstandarisasi. Penelitian ini mengusulkan Sistem Pendukung Keputusan (SPK) yang mengintegrasikan metode Equal Weight (EW) dan TOPSIS untuk menilai kinerja kurir Shopee Express berdasarkan tujuh kriteria: Tingkat Keberhasilan Pengiriman, Rata-rata Paket per Hari, Skor POD, Tingkat Kehadiran, Tingkat Konfirmasi, Jumlah Paket Tertahan, dan Penalti Metrik. Dengan data simulasi dari 15 kurir, sistem menghasilkan peringkat kinerja yang jelas, di mana kurir terbaik mencapai CCi 0,752. Analisis komparatif antara bobot EW dan bobot preferensi manajerial menunjukkan adaptabilitas sistem. Hasil penelitian mengonfirmasi bahwa SPK EW-TOPSIS menyediakan alat evaluasi yang objektif, transparan, dan fleksibel, meski terbatas pada data simulasi. Penelitian lanjutan disarankan menggunakan data operasional nyata.

Downloads

Download data is not yet available.

References

Y. Rossanty, R. Harahap, and R. R. Nasution, "Conceptualizing the moderating role of owners' entrepreneurial orientation in the relationship between e-commerce adoption and SMEs performance," Jurnal Manajemen dan Bisnis, vol. X, no. Y, pp. 182-190, 2023.

T. Wu, J. Deng, C. Chu, and J. Luo, “ARIMA-based Freight Forecasting and Network Optimization in E-commerce Logistics,” vol. 33, pp. 296–303, 2024.

P. Hutagaol, U. K. Maranatha, S. Tin, U. K. Maranatha, L. Agustina, and U. K. Maranatha, “The Effect of Performance Appraisal Effectiveness on Employee Outcomes : The Mediating Role of Workplace Culture in Indonesian Banks,” vol. 13, no. 5, pp. 1311–1322, 2025, doi: 10.37641/jiakes.v13i5.3625.

C. Chen, “A Novel Multi-Criteria Decision-Making Model for,” pp. 10–12, 2020.

N. Nurjanah, A. Rahayu, L. A. Wibowo, and N. Fattah, “An effect of dynamic logistics capabilities on courier ’ s business performance,” vol. 9, no. 4, pp. 706–712, 2023.

L. Wang and M. Dong, “An Entropy Weight-TOPSIS Based Method for e-Commerce Logistics Service Quality Evaluation,” vol. 3651, pp. 1253–1256, 1848.

A. Mahajan, I. Singh, and N. Arora, “An integrated multi ‑ criteria decision ‑ making framework for the selection of sustainable biodegradable polymer for food packaging applications,” Environ. Dev. Sustain., no. 0123456789, 2023, doi: 10.1007/s10668-023-03052-z.

J. L. Edward and P. Kaliyaperumal, “Optimizing E-Commerce Selection Under Uncertainty : A New Framework for Decision-Making With Extended Fuzzy TOPSIS,” vol. 2024, 2024, doi: 10.1155/ijmm/4284997.

R. Rostamzadeh, M. Keshavarz, and K. Govindan, “Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS- CRITIC approach,” vol. 175, 2018.

Z. Guo, T. Jing, H. Zhu, and X. Xu, “Emergency Routing and Structural Optimization of E- commerce Logistics Network for Parcel Transportation Based on Multiple Models,” vol. 8, pp. 68–74, 2023, doi: 10.23977/jeis.2023.080308.

H. Kopá and M. Škrobá, “DECISION SUPPORT SYSTEMS OR BUSINESS INTELLIGENCE : WHAT CAN HELP IN DECISION MAKING ?,” pp. 98–103.

I. Surjandari, R. Rindrasari, and A. Dhini, “Evaluation of Efficiency in Logistics Company : An Analysis of Last-Mile Delivery Evaluation of Efficiency in Logistics Company : An Analysis of Last-Mile Delivery,” vol. 10, no. 2, pp. 649–657, 2023.

I. Boukrouh, F. Tayalati, and A. Azmani, “A Comprehensive Framework for Supplier Selection : Using Subjective , Objective , and Hybrid Multi-Criteria Decision-Making Techniques With Sensitivity Analysis,” IEEE Access, vol. 12, no. September, pp. 145550–145569, 2024, doi: 10.1109/ACCESS.2024.3462348.

S. Ruan, Z. Xiong, C. Long, Y. Chen, J. Bao, and T. He, “Doing in One Go : Delivery Time Inference Based on Couriers ’ Trajectories,” vol. 1, 2020.

M. Bouhedja and A. Benselhoub, “TESTING THE SUITABILITY OF VECTOR NORMALIZATION PROCEDURE IN TOPSIS METHOD : APPLICATION TO WHEEL LOADER SELECTION,” vol. 2, no. 76, 2024, doi: 10.15587/2706-5448.2024.301207.