OPTIMASI PENUGASAN WILAYAH KERJA FIELD ASSISTANT MENGGUNAKAN ASSIGNMENT MODEL GUNA MEMINIMALKAN WAKTU PERJALANAN OPERASIONAL

Authors

  • Elfhian Hutasoit Universitas Methodist Indonesia
  • Jhon Kristopel Manalu Universitas Methodist Indonesia
  • Parapat Gultom Universitas Methodist Indonesia

DOI:

https://doi.org/10.61722/jiem.v4i7.12063

Keywords:

Assignment Model, Hungarian Algorithm, Operational Efficiency, Field Assistant, QM for Windows

Abstract

The efficiency of field personnel mobility is a determining factor in a company's operational success, particularly for the Field Assistant profession, who is responsible for supervision, inspection, and coordination across various work sector areas. Non-optimal territorial assignment often results in wasted travel time, increased operational costs, and personnel fatigue. This study aims to determine the optimal assignment combination of four Field Assistants to four strategic work areas of PT Prima Karya Berjaya in North Sumatra by minimizing total daily travel time. An operational quantitative approach was applied through the Assignment Model using the Hungarian Algorithm with the assistance of QM for Windows version 5 software. Travel time data were obtained from recording the average daily actual travel duration using GPS-based navigation during the observation period. The analysis results show that the model successfully identified the optimal allocation, reducing total field travel time from 275 minutes to 200 minutes per operational inspection cycle, equivalent to a 27.2% duration reduction. These findings prove that a computational-based operations research approach can significantly enhance actual working time productivity in the field. The managerial implication of this study recommends implementing the assignment model as a periodic scheduling instrument to maintain the efficiency of human resource asset movement in the field.

References

Hillier, F. S., & Lieberman, G. J. (2015). Introduction to Operations Research (10th ed.). New York: McGraw-Hill Education.

Kuhn, H. W. (1955). The Hungarian Method for the Assignment Problem. Naval Research Logistics Quarterly, 2(1-2), 83-97.

Render, B., Stair, R. M., Hanna, M. E., & Hale, T. S. (2018). Quantitative Analysis for Management (13th ed.). Boston: Pearson.

Riskiani, R., & Busrah, Z. (2026). Optimasi Waktu Pengantaran Barang melalui Model Penugasan Kurir dengan Metode Hungarian Termodifikasi pada Data Tidak Seimbang. Euler: Jurnal Ilmiah Matematika, Sains dan Teknologi, 14(1), 1-10.

Sari, G. A., Herwanto, D., Nugraha, B., Sari, R. P., & Rozaqqiyah, H. (2021). Optimalisasi Waktu Kerja dan Jaringan Pendistribusian Makanan Ringan Menggunakan Model Assignment dan Hungarian. Journal of Industrial & Quality Engineering, 9(1), 80-88.

Taha, H. A. (2017). Operations Research: An Introduction (10th ed.). Essex: Pearson Education Limited.

Traneva, V., Mavrov, D., & Tranev, S. (2022). Intuitionistic Fuzzy Model of the Hungarian Algorithm for the Salesman Problem and Software Analysis of a Shipping Company Example. Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 383-386.

TrackoField. (2026). What Is Territory Management? A Complete Guide for Field Sales Teams. Diakses dari https://trackobit.com/blog/what-is-territory-management.

Downloads

Published

2026-07-15

Issue

Section

Articles