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All Journal IMTechno: Journal of Industrial Management and Technology Sainteks: Jurnal Sain dan Teknik
Hafiza Aprilia
Universitas Pembangunan Nasional Veteran Jakarta
Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Optimasi Perencanaan Produksi Menggunakan Linear Programming dan Analisis Sensitivitas Pada UMKM Coffee Suganda Majalengka Siti Nur Hamidah; Hafiza Aprilia; Fadil Abdullah
IMTechno: Journal of Industrial Management and Technology Vol. 7 No. 1 (2026): Vol. 7 No. 1 (2026): Januari 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/imtechno.v7i1.11608

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in the angkringan-based coffee shop sector have significant economic potential; however, many of them still face challenges in production decision-making due to limited resources and the lack of data-driven planning. This study aims to optimize the beverage production mix at Coffee Suganda, an MSME coffee shop located in Majalengka Regency, which produces 25 product variants, with three main products: palm sugar milk coffee, creamy milk coffee, and chocolate. The research applies Linear Programming (LP) to maximize profit under constraints related to raw materials, production time and is further strengthened by sensitivity analysis to examine the robustness of the optimal solution under parameter changes. Research data were collected through field observations, interviews with the business owner, and records of production and sales activities. The results indicate that the Linear Programming approach provides a more optimal production combination compared to the existing conditions and improves resource utilization efficiency. The sensitivity analysis reveals that changes in raw material availability and selling prices significantly affect the optimal solution, highlighting the importance of adaptive production planning. This study contributes practical insights for angkringan-based coffee shop MSMEs in developing data-driven and adaptive production strategies, as well as academic contributions to the literature on MSME production optimization
Analyzing Lead Time Reduction In The Rice Supply Chain Using Promodel Simulation: A Case Study Of Subur Jaya Rice Milling, Bekasi Nadiya Maharani; Fadil Abdullah; Hafiza Aprilia; Siti Nurhamidah; Abdullah Rizky Al Fatih
SAINTEKS : Jurnal Sain dan Teknik Vol. 8 No. 02 (2026): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v8i02.1169

Abstract

The efficiency of the rice supply chain is strongly influenced by lead time, particularly in activities related to raw material supply and paddy drying. Long waiting times in these processes can disrupt material flow and limit production capacity. This study aims to analyze the lead time of the rice supply chain at Subur Jaya, based on direct observations and interviews with rice milling personnel. A simulation model was developed based on actual operating conditions, covering the processes from paddy delivery by suppliers to rice distribution to customers. The results show that the activities contributing most significantly to lead time are paddy delivery from suppliers, which requires 14 days, and the manual paddy drying process, which takes 5 days. The simulation of the existing condition resulted in a total processing time of 587.99 hours, with a production capacity of 2.418 tons of rice per month. An improvement scenario was developed by increasing the frequency of paddy supply and replacing the manual drying process with a mechanical dryer. The simulation results indicate that the total processing time can be reduced to 208.47 hours, representing a reduction of approximately 64.54%, while production capacity can be increased to 4.836 tons per month. The reduction in processing time is primarily attributed to decreased waiting time in the drying area. The use of a mechanical dryer reduces dependence on weather conditions and enables a more stable and predictable material flow, while shorter queues allow paddy to enter the milling process more quickly. These findings demonstrate that improvements in drying technology and supply management can significantly enhance rice supply chain efficiency and provide substantial operational benefits compared with increasing production capacity solely at the milling stage.
Co-Authors Abdullah Rizky Al Fatih Fadil Abdullah Fadil Abdullah Nadiya Maharani Siti Nur Hamidah Siti Nurhamidah