APLIKASI METODE ASSIGNMENT DALAM OPTIMASI PENANGANAN PERKARA HUKUM PADA KANTOR ADVOKAT: PENDEKATAN ANALISIS KUANTITATIF BERBASIS QM FOR WINDOWS
DOI:
https://doi.org/10.61722/jipm.v4i4.2789Keywords:
Assignment Method, Law Firm, Quantitative, QM for Windows, Time OptimizationAbstract
Operational management in law firms faces significant challenges in allocating limited time resources amidst high demand for case handling. This study aims to optimize the assignment of legal cases to advocates in order to minimize the total case completion time using the assignment method. The data consists of an estimated time matrix (in days) for four advocates handling four types of cases, namely Criminal Cases, Civil Cases, Industrial Relations Cases, and Intellectual Property Rights (IPR) Cases. Data analysis was conducted using QM for Windows (POM-QM) software. The optimization results show that systematic work distribution produces an efficient one-to-one allocation with a minimum total completion duration of 32 days. The implementation of this linear programming model is proven effective in assisting law firm management in making strategic decisions based on formal data.
References
Arafat, Y., & Suseno, A. (2021). Analisis penugasan guna meminimumkan waktu pengiriman produk menggunakan metode Hungarian pada UKM Roti ZB Cikampek. Jurnal Pendidikan dan Aplikasi Industri (UNISTEK), 8(1), 1-10.
Aryata, I. M., & Marendra, I. G. (2022). Strategi pengambilan keputusan menggunakan metode penugasan dengan aplikasi POM-QM. Jurnal Pengabdian Masyarakat Bestari (JPMB), 1(8), 747-758. https://doi.org/10.55927/jpmb.v1i8.1732
Ibnas, R., Kasse, I., & Nur Wirun, N. H. (2018). Optimasi pembagian tugas karyawan menggunakan metode Hungarian (Studi kasus: Karyawan Grand Sony Tailor Makassar). MaPan: Jurnal Matematika dan Pembelajaran, 6(1), 43-52. https://doi.org/10.24252/msa.v6i1.5279
Priyambodo, B. M., Ferdinand, W., & Albar, W. F. (2023). Penekanan biaya produksi dan memaksimumkan pendapatan bersih perkebunan kelapa sawit menggunakan model penugasan. Journal of Mathematics Theory and Applications, 2(1), 1-7. https://doi.org/10.32938/j-math.v2i1.4516
Rahmawati, E., Satyahadewi, N., & Frans, F. (2022). Kajian metode penalti dan aplikasinya pada masalah penugasan. BIMASTER: Buletin Ilmiah Matematika, Statistika dan Terapannya, 13(1), 9-16. https://doi.org/10.26418/bbimst.v13i1.74046
Ridwan, M. N. (2025). Implementasi algoritma Hungarian pada sistem penugasan karyawan untuk optimasi pembagian tugas. Jurnal CoInT (Computing and Information Technology), 6(1), 78-89.
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). https://doi.org/10.37905/euler.v14i1.37647
Sihombing, E. F. (2025). Kajian metode penalti dan aplikasinya pada masalah penugasan [Skripsi, Universitas Sumatera Utara]. Repositori USU.
Anderson, D. R., Sweeney, D. J., & Williams, T. A. (2016). Quantitative methods for business (13th ed.). Cengage Learning.
Hillier, F. S., & Lieberman, G. J. (2015). Introduction to Operations Research. McGraw-Hill Education.
Render, B., Stair, R. M., Hanna, M. E., & Hale, T. S. (2018). Quantitative Analysis for Management. Pearson.
Taha, H. A. (2017). Operations Research: An Introduction (10th ed.). Pearson.
Taylor, B. W. (2019). Introduction to Management Science (13th ed.). Pearson.
QM for Windows. (2020). User manual and software guide. Pearson Education.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 JURNAL ILMIAH PENELITIAN MAHASISWA
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
