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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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Penerapan Metode Economic Order Quantity (EOQ) Untuk Meningkatkan Efisiensi Pengendalian Persediaan Bahan Baku Pada CV Simka Jaya Pesta Gultom; Eliajar Julius Otniel Perangin-Angin; Friska Canserina Aritonang
JURNAL ILMIAH RESEARCH STUDENT Vol. 2 No. 2 (2025): September
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jirs.v2i2.5493

Abstract

Stock management is an important element in running a business, especially in the manufacturing sector, which plays a major role in providing raw materials so that the production process can run smoothly. Improper inventory handling can result in wasted costs, both in terms of storage and procurement, and can lead to the danger of raw material shortages that have the potential to disrupt smooth production. This study aims to disseminate how effective CV Simka Jaya, a company engaged in the manufacture of koko clothing, is in managing its raw material stock through the Economic Order Quantity (EOQ) approach. This EOQ method determines the optimal purchase amount to reduce inventory costs, by including Safety Stock and Reorder Point analysis as an effort to address orders in demand and potential delays in delivery.
Optimalisasi Penugasan Normal Menggunakan Metode Hungarian Maksimisasi: (Studi Kasus: CV. Surya Pelangi) Pesta Gultom; Anggi Br Tarigan; Sartika Mayang Sari; Chairuna Chairuna; Panglima Martin Sitepu
Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan Vol. 3 No. 3 (2025): Juni : Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/maeswara.v3i3.1958

Abstract

The assignment problem discusses the problem of creating maximum sales, CV Surya Pelangi assigns its selected employees to enter the target market. CV Surya Pelangi has problems allocating its employees to the target market that has been determined. Before allocating its employees, CV Surya Pelangi has conducted training first. The income data of each employee in these markets is in (thousands) during training, therefore it is necessary to solve the employee allocation problem. The method used in this study is the Hungarian Method, with a focus on the maximization approach. The Hungarian method is known to be effective in solving assignment problems where there are similarities in the number of employees and allocations, and the goal is to optimize the allocation. In this case, maximization means finding a combination of assignments that produce the highest total profit value.
Implementasi Metode Transportasi Seimbang pada PT Shaput Octo Jaya Fransiska Tamara Br Simbolon; Pesta Gultom; Dea Nabila Putri; Stefany Gloria Br Manullang; Angerago Firman Ndraha; Grace Lestari Putri Keisha Aritonang
Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan Vol. 3 No. 3 (2025): Juni : Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/maeswara.v3i3.1964

Abstract

This paper discusses the methodologies for balanced transportation problems and their solutions, focusing on efficient and cost-effective distribution of goods from multiple sources to various destinations. The study highlights the importance of maintaining supply and demand balance and explores systematic approaches such as initial solution methods—North-West Corner, Least Cost, and Vogel Approximation Method—and the optimal solution technique, Stepping Stone. An illustrative case involving a company with multiple factories and markets demonstrates the application of these methods, resulting in minimized transportation costs. Additionally, the process of fertilizer allocation and cost analysis is examined, emphasizing the use of the Stepping Stone method to achieve cost minimization. The findings underscore the effectiveness of combining initial heuristics with iterative optimization to attain optimal transportation solutions, thereby enhancing logistical efficiency and reducing operational expenses.
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.
Analisis Metode Economic Order Quantity (EOQ) pada Pengendalian Persediaan Kopi di Coffee Shop “Suteki” Medan Pesta Gultom; Sarah Fadhia; Anna Annisaul Karimah; Rima Sapira; Alda Claudia Sagala
Jurnal Manajemen dan Pendidikan Agama Islam Vol. 3 No. 4 (2025): Juli: Jurnal Manajemen dan Pendidikan Agama Islam
Publisher : Asosiasi Riset Pendidikan Agama dan Filsafat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jmpai.v3i4.1312

Abstract

Economic Order Quantity (EOQ) is one of the methods in inventory management used to determine the optimal order quantity to minimize total inventory costs, which include ordering costs and storage costs. This study aims to analyze the application of the EOQ model in managing inventory in a company. By using data on raw material usage, ordering costs, and storage costs, the results show that the application of EOQ can optimize the amount of purchases and order frequency more efficiently. The results of the analysis show that the application of the EOQ model contributes to reducing operational costs and increasing the effectiveness of stock management. Therefore, EOQ can be used as an appropriate inventory management strategy to support the efficiency and productivity of the company. Economic Order Quantity (EOQ) in controlling coffee inventory at the Suteki Medan Coffee Shop to minimize total inventory costs. The EOQ method is used to determine the optimal order quantity with the most efficient cost, as well as considering safety stock, reorder point, and total inventory cost.
Application of the Hungarian Assignment Method to Minimize Normal Cases in Cinderella Tempe Chips MSMEs Pesta Gultom; Ester Sabrina Aruan; Ribka Callista Simangunsong; Viona Anggraini br Ketaren; Winda Rosianna Tampubolon
Outline Journal of Management and Accounting Vol. 4 No. 2 (2025): Agustus - Desember
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/yw4scy33

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in the national economy, including the Cinderella Tempeh Chips MSME. To address efficiency and productivity challenges, an appropriate management approach is needed, one of which is the Hungarian minimization method for production assignment. This research explores the application of the Hungarian method to solve minimization assignment problems at the "Cinderella" Tempeh Chips MSME. By transforming production activity data, such as processing, frying, and packaging, into a cost/time matrix, this method aims to minimize the total operational time or cost. The main stages involve row and column reduction to create zero elements, covering zeros with the minimum number of lines, and matrix adjustments until an optimal solution is found. Previous studies in MSMEs, service industries, and warehousing have shown that this method provides significant optimal solutions. The results obtained can help MSMEs improve production efficiency and market competitiveness. 
Analysis Of Production Capacity and Raw Materials Towards Profit Maximisation In Okey Sausage Factory Pesta Gultom; Cynthia Bella; Melyani Melyani; Stephanie Stephanie; Calvin Andriono Abednego
Brilliant International Journal Of Management And Tourism Vol. 5 No. 2 (2025): June : Brilliant International Journal Of Management And Tourism
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/bijmt.v5i2.4348

Abstract

This study aims to analyze the effect of production capacity and availability of raw materials on profit maximization efforts at the Okey Sausage Factory. The main problem faced by the company is the limited resources that must be allocated optimally in order to achieve maximum profit levels. This study uses an operations research approach with linear programming methods and simplex methods, which are able to solve optimization problems with two main variables, namely the number of products produced and the amount of raw materials available. The data used include machine capacity, daily raw material quantity, production time, and profit margins for each sausage product. The results of the analysis show that the optimal combination of production capacity and raw materials can significantly increase profits compared to previous production strategies. With the right mathematical model, companies can make more efficient and data-based production decisions.
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 Elisabeth Nainggolan Elisma Putri Br Barus Elizabeth Maretha Marbun Emriahta Br Damanik Ester Sabrina Aruan Fery Wahyudi Firdan Hidayat Fransiska Tamara Br Simbolon Friska Canserina Aritonang Grace Lestari Putri Keisha Aritonang halim, cheviria Hommy Dorthy 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