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All Journal JEBD JUMEBIN : Journal of Management, Economics, Business, and Investment
Ahmad Albar Tanjung
Program Studi Manajemen, Sekolah Tinggi Ilmu Manajemen sukma, Medan, Indonesia
Economics, Econometrics & Finance Engineering

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Analisis Minimasi Waktu Operasional Bar Restoran Ever Green Melalui Pendekatan Algoritma Metode Hungaria nabila khairani; Yunita Juniarti Dewi; Sindi Ramadani; Ahmad Albar Tanjung
Jurnal Ekonomi dan Bisnis Digital Vol. 3 No. 3 (2026): Januari - Maret
Publisher : CV. ITTC INDONESIA

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Abstract

Competition in the culinary industry requires restaurants not only to excel in product quality but also to manage their resources efficiently. This study aims to optimize employee assignment in the bar section of Ever Green Restaurant to minimize operational time using a scientific approach. The research employs a quantitative approach with a case study design, in which primary data were obtained through direct observation and time measurements of five bar employees performing five different beverage-related tasks. The collected data were then analyzed using the Hungarian Method based on the one man one task principle. The results indicate that the application of the Hungarian Method produces an optimal assignment configuration with a minimum operational time of 17 minutes. This assignment allocates each employee to the task most aligned with their competencies, thereby reducing waiting time and workload imbalance. These findings suggest that the application of optimization methods provides a more objective approach to improving operational efficiency and service quality in restaurants.
EOQ-Based Raw Material Inventory Control at Mie Jebew Using POM-QM Anisa Fitriani; Hanifah; Hendrianto Sitorus; Ahmad Albar Tanjung
JUMEBIN : Journal of Management, Economics, Business, and Investment Vol. 2 No. 1 (2026): June 2026
Publisher : PT Katersi Minar Permata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66785/jumebin.v2i1.214

Abstract

This study aims to analyze raw material inventory control at Mie Jebew and determine the most economical order quantity to minimize inventory costs. The research problem arises because raw material procurement is still based on the owner's estimation, potentially resulting in overstocking or stock shortages. This research employed a descriptive quantitative approach using primary data collected through direct interviews with the business owner. Data were analyzed using the Economic Order Quantity (EOQ) and Reorder Point (ROP) methods with the assistance of POM-QM for Windows software. The findings indicate that the implementation of the EOQ method determines the optimal order quantity, reduces the ordering frequency from 52 times to approximately 4–15 times per year depending on the characteristics of each raw material, and produces more economical inventory costs. In addition, the EOQ method balances ordering and holding costs, ensuring the availability of raw materials without creating excessive inventory. The results imply that the implementation of EOQ improves inventory control efficiency, supports production continuity, and provides a reliable basis for procurement decision-making. Furthermore, the Reorder Point (ROP) calculation identifies the appropriate time for reordering, thereby minimizing the risk of stockouts and maintaining raw material availability throughout the production process. This study provides practical implications that the implementation of EOQ and ROP can enhance inventory management efficiency, support production continuity, and improve operational decision-making for micro, small, and medium enterprises (MSMEs).
Employee Work Assignment Time Optimization Using the Hungarian Method at PT Sulaiman Saleh Khoirun Nadya; Tri Davha Agilang; Ahmad Albar Tanjung
JUMEBIN : Journal of Management, Economics, Business, and Investment Vol. 2 No. 1 (2026): June 2026
Publisher : PT Katersi Minar Permata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66785/jumebin.v2i1.220

Abstract

PT Sulaiman Saleh, a company engaged in the oil palm plantation sector, still assigns employees across eight functional departments based on managerial policy without quantitatively considering the differences in task completion time among employees, potentially causing work-time inefficiency. This study aims to identify the task completion time of each employee in each department and to determine the optimal employee assignment using the Hungarian Method. The study employs a quantitative approach with a case study design, in which primary data on task completion time were obtained through interviews and assessments by the Human Resources Department, then analyzed through row reduction, column reduction, and covering-line steps on an 8×8 assignment matrix, and verified using POM-QM for Windows software. The results show that the optimal assignment produces a total completion time of 2,040 minutes, 720 minutes or 26.09% more efficient than the departmental-order assignment pattern, which requires 2,760 minutes. These findings can serve as a reference for PT Sulaiman Saleh in making cross-departmental employee assignment decisions to improve overall work efficiency and productivity.
Co-Authors Anisa Fitriani Hanifah Hendrianto Sitorus Khoirun Nadya nabila khairani Sindi Ramadani Tri Davha Agilang Yunita Juniarti Dewi