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Optimization of Hijab Production Profits for UMKM Saveer Hijab Using the CPLEX Application Julianti, Shofia Rizka; Dwi Agustina Kurniawati; Noor Saif Muhammad Mussafi
Journal of Industrial Engineering and Halal Industries Vol. 6 No. 1 (2025): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.5287

Abstract

Micro, Small, and Medium Enterprises play a major role in economic growth in Indonesia and must continue to be supported and developed in order to compete at a global level. Saveer Hijab is one of the hijab fashion brands in the MSME sector that produces various types of hijab. Saveer Hijab experienced a decline in sales because the number of requests was not balanced with production costs due to the increase in raw material prices. This study aims to formulate an optimization model to determine the optimal production volume so that maximum profit is obtained using the CPLEX application. The results of the study showed that to optimize profits, Saveer Hijab must produce 200 pcs of Malay Scarf hijab and 120 pcs of Pashmina Square hijab. Thus, the profit obtained by Saveer Hijab is IDR 7,000,000.00 or 75%. Saveer Hijab obtains maximum efficiency for the amount of fabric and thread inventory, because in the production process of both types of hijab, it requires a fabric inventory of 500 m and a thread of 800 m, which is in accordance with the amount of material availability capacity. Furthermore, the amount of plastic packaging inventory still leaves 180 pcs because in the production process the amount of plastic used is 320 pcs.
Optimizing Production for Maximum Profit in Kripik Ma'Nung MSMEs Using CPLEX-Based Linear Programming Rahma, Nafia Rahma; Dwi Agustina Kurniawati; Noor Saif Muhammad Mussafi
Journal of Industrial Engineering and Halal Industries Vol. 6 No. 1 (2025): Journal of Industrial Engineering and Halal Industries (JIEHIS)
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.5290

Abstract

Micro, Small, and Medium Enterprises (MSMEs) significantly contribute to the economic development of Indonesia. However, many MSMEs still rely on intuition and past experience rather than data-driven decision-making, resulting in suboptimal profit outcomes. This study aims to determine the optimal production combination to maximize profit in Kripik Ma’Nung, a halal-certified MSME that produces five types of traditional chips. A linear programming approach was applied using CPLEX Optimization Studio 22.1.2 to analyze real production data, including unit cost, production time, and selling price. The decision variables were the weekly production quantities of each chip type, subject to constraints on production cost and time. The initial production plan yielded a weekly profit of IDR 370,200 with a production time of 1,478.8 minutes. After optimization, the model suggested producing only 166 units of sale banana chips, which increased the profit to IDR 448,200, reduced production time to 1,377.8 minutes, and cut costs by IDR 78,000. These results demonstrate a 21% improvement in profit efficiency and highlight the effectiveness of linear programming as a decision-support tool. The study encourages broader adoption of optimization techniques among MSMEs to enhance resource utilization and operational decision-making.