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All Journal Jurnal Manajemen Bisnis Eka Prasetya Outline Journal of Management and Accounting Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Maeswara: Jurnal Riset Ilmu Manajemen dan Kewirausahaan Lokawati: Jurnal Penelitian Manajemen dan Inovasi Riset Jurnal Nuansa: Publikasi Ilmu Manajemen dan Ekonomi Syariah Jurnal Ilmiah Ekonomi dan Manajemen Jurnal Ilmiah Research Student Jurnal Sains Student Research Gudang Jurnal Pengabdian Masyarakat Jurnal Manajemen dan Pendidikan Agama Islam JURNAL AKADEMIK EKONOMI DAN MANAJEMEN PROCEEDING INTERNATIONAL BUSINESS AND ECONOMICS CONFERENCE (IBEC) Jurnal Manajemen Bisnis Digital Terkini Ekopedia: Jurnal Ilmiah Ekonomi Brilliant International Journal of Management and Tourism
Pesta Gultom
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Social Sciences Other

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Journal : Lokawati: Jurnal Penelitian Manajemen dan Inovasi Riset

 1 
Optimalisasi Penugasan Tidak Normal Menggunakan Metode Hungarian Maksimasi dan Minimisasi pada PT Abadi Pesta Gultom; Elisma Putri Br Barus; Jupita Mariana Manullang; Emriahta Br Damanik; Ribka Nduru
Lokawati : Jurnal Penelitian Manajemen dan Inovasi Riset Vol. 3 No. 4 (2025): July : Jurnal Penelitian Manajemen dan Inovasi Riset
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/lokawati.v3i4.1960

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.
Co-Authors Adania Telaumbanua Alda Claudia Sagala Almerisa Novianti Br Tarigan Almunawar Almunawar Angelica O. Tamba Angerago Firman Ndraha Anggi Br Tarigan Anita K. Halawa Anna Annisaul Karimah Arelina Br Ginting Bastian S. Surbakti Bernadetha Manurung Betania Gulo Calvin Andriono Abednego Chairuna Chairuna Christy H. Tambunan Cynthia Bella Darniati br Sitorus Dea Nabila Putri Debora Br. Purba Deby Intan D. Gultom Delamin br Sembiring Desma Erica Maryati Desma Erica Maryati Manik Dewi Sinta Sianipar Edison Simamora Ekin Geronimo Eliajar Julius Otniel Perangin-Angin Elisabeth Nainggolan Elisma Putri Br Barus Elizabeth Maretha Marbun Emriahta Br Damanik Ester Sabrina Aruan Fernando Fery Wahyudi Firdan Hidayat Fransiska Tamara Br Simbolon Friska Canserina Aritonang Grace Lestari Putri Keisha Aritonang halim, cheviria Hommy Dorothy Ellyany Sinaga Honesty Sembiring Janes A. Nehe Joni Joni Jupita Mariana Manullang Linca Narsi Patresya Tamba Lucky Tiur A. Marbun M. Fahrial Aldi Maria Lumbanbatu Mariani Ginting Melly A. Laia Melyani Melyani Michael Lee Manurung Muhammad Ali Akbar Nainggolan, Elisabeth Netrika Sari Zalukhu Okta Feryanus Tarigan Panglima Martin Sitepu Prycillia Putri Dwi Vani Putri Jelita Rahmad Dianta Purba Rasti Purba Rebeka Oktavia Purba Ribka Callista Simangunsong Ribka Nduru Rima Sapira Sarah Fadhia Sartika Mayang Sari shendy Shilvia Maria A. Siagian Stefany Gloria Br Manullang stephanie stephanie Tiara Sopianta Samosir Vio Renawati Viona Anggraini br Ketaren Widalicin Januarty Winda Rosianna Tampubolon Windi Felisah Manalu Yesi Septiani Yokhebeb Zega zalogo, zaruwarnas