Optimalisasi Penugasan Tidak Normal Menggunakan Metode Hungarian Maksimasi dan Minimisasi pada PT Abadi

Authors

  • Pesta Gultom Sekolah Tinggi Ilmu Ekonomi Eka Prasetya Medan
  • Elisma Putri Br Barus Sekolah Tinggi Ilmu Ekonomi Eka Prasetya Medan
  • Jupita Mariana Manullang Sekolah Tinggi Ilmu Ekonomi Eka Prasetya Medan
  • Emriahta Br Damanik Sekolah Tinggi Ilmu Ekonomi Eka Prasetya Medan
  • Ribka Nduru Sekolah Tinggi Ilmu Ekonomi Eka Prasetya Medan

DOI:

https://doi.org/10.61132/lokawati.v3i4.1960

Keywords:

Optimization, Non-Normal Assignment, Hungarian Method, Maximization, Minimization, Algorithm, Decision Making

Abstract

This study explores the optimization of non-normal assignments utilizing the Hungarian method for both maximization and minimization. The Hungarian algorithm is a combinatorial optimization technique that efficiently solves assignment problems, ensuring optimal allocation of resources. By applying this method to non-normal assignment scenarios, we aim to demonstrate its effectiveness in enhancing productivity and reducing costs in various industries. The findings indicate that the Hungarian method can significantly improve decision-making processes in complex assignment frameworks, leading to more efficient operations.

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References

Gultom, P., Manik, D. E. M., Lezawardi, D., Nainggolan, S. G. V., & Simarmata, A. M. (2022). PENGANTAR RISET OPERASI.

Gultom, P., Manik, D. E. M., Lezawardi, D., Nainggolan, S. G. V., & Simarmata, A. M. (2022). Pengantar riset operasi.

Prawirasentono, S. (2005). Manajemen operasi: Analisis dan studi kasus. Jakarta: Bumi Aksara.

Wijaya, A. (2013). Penjadwalan dan optimasi penugasan: Teori dan aplikasi metode Hungarian. Yogyakarta: Graha Ilmu.

Hillier, F. S., & Lieberman, G. J. (2021). Introduction to operations research (11th ed.). New York: McGraw-Hill Education.

Taha, H. A. (2017). Operations research: An introduction (10th ed.). Boston: Pearson Education.

Winston, W. L. (2004). Operations research: Applications and algorithms (4th ed.). Belmont, CA: Thomson-Brooks/Cole.

Render, B., Stair, R. M., & Hanna, M. E. (2014). Quantitative analysis for management (12th ed.). Pearson.

Nahmias, S. (2008). Production and operations analysis (6th ed.). New York: McGraw-Hill/Irwin.

Rushton, A., Croucher, P., & Baker, P. (2014). The handbook of logistics and distribution management (5th ed.). London: Kogan Page.

Chopra, S., & Meindl, P. (2019). Supply chain management: Strategy, planning, and operation (7th ed.). Boston: Pearson.

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Published

2025-06-23

How to Cite

Pesta Gultom, Elisma Putri Br Barus, Jupita Mariana Manullang, Emriahta Br Damanik, & Ribka Nduru. (2025). Optimalisasi Penugasan Tidak Normal Menggunakan Metode Hungarian Maksimasi dan Minimisasi pada PT Abadi. Lokawati : Jurnal Penelitian Manajemen Dan Inovasi Riset, 3(4), 149–158. https://doi.org/10.61132/lokawati.v3i4.1960

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