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IMPLEMENTATION OF THE SIMPLEX METHOD IN MAXIMIZED DONUT PRODUCTION PROFITS AT ARSYILA BAKERY Gayus Simarmata; Juli Antasari Br Sinaga; Lilis; Yuliana Nainggolan; Jelli Sijabat; Vania Yocelin Sagala
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 3 No. 6 (2024): MAY
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v3i6.1513

Abstract

Arsyila Bakery, a bakery MSME, faces challenges in determining the most efficient donut production combination. Production decisions have been based on intuition, potentially leading to waste of raw materials and inability to generate maximum profits. This study aims to formulate a Linear Program model as a decision-making tool in determining donut production strategies, namely Potato Donuts x_1 and Milk Donuts x_2, in order to obtain optimal daily profits. A quantitative approach is used through the Linear Program optimization method with the objective function of maximizing profits z = 3000x_1 + 2000x_2, which is limited by nine constraints of raw material availability and production capacity. The model is solved using the Simplex Method algorithm through POM-QM software for Windows. The analysis results show that the optimal solution is achieved by producing 8 units of Potato Donuts and 0 units of Milk Donuts, resulting in a maximum profit of Rp24,000 per day. The binding constraints in the model are Sugar and Potatoes, which are the main limiting factors of production. The economic value (shadow price) indicates that the addition of sugar has the greatest impact on increasing profits, at IDR 2,000 per kilogram, followed by potatoes at IDR 5,000 per kilogram. Based on these findings, it is recommended that Arsyila Bakery implement this optimal production combination and prioritize increasing sugar stock to support improved operational performance and achieve higher profits.
APPLICATION OF THE ABC METHOD TO IMPROVE THE EFFECTIVENESS OF CONTROL OF DRUG INVENTORY FOR BPJS HEALTH PATIENTS Juli Antasari Br Sinaga; Gayus Simarmata; Adi Suarman Situmorang; Nilam Sari; Angelina Manik
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 1 No. 10 (2022): SEPTEMBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v1i10.1514

Abstract

This study aims to analyze drug inventory control at Kasih Clinic using the ABC method with the help of POM-QM software for Windows. Based on the Pareto principle, the results of data processing indicate that inventory items can be classified into three main groups based on the contribution of usage value to total inventory costs. Group A consists of five main drug items that contribute the most to inventory value, which is around 87.48%, despite the relatively small number of items. This group requires strict control because it has a significant financial impact. Group B includes two drug items with a cumulative contribution of usage value up to 97.55% and requires periodic monitoring with a medium priority level. Meanwhile, group C consists of most drug items but only contributes around 2.45% of the total usage value, so it can be managed with a simpler control system. Overall, the application of the ABC method has proven effective in identifying drug inventory control priorities objectively and based on economic value, thus supporting more efficient hospital inventory management decisions