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Agus Junaidi
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IMTechno: Journal of Industrial Management and Technology
Published by Universitas Bina Sarana Informatika
ISSN : -     EISSN : 2774342X     DOI : https://doi.org/10.31294/imtechno
Core Subject : Science, Engineering,
Computer Science & IT Industrial & Manufacturing Engineering
IMTECHNO Journal of Industrial Management and Technology pertama kali publikasi tahun 2020 dengan nomor ISSN (Elektonik): 2774-342X yang diterbitkan oleh Lembaga Ilmu Pengetahuan Indonesia (LIPI). IMTECHNO Journal of Industrial Management and Technology memuat tulisan ilmiah yang berhubungan dengan bidang teknologi, manajemen industri dan informatika. Jurnal diterbitkan 2 kali dalam satu tahun dibulan Januari dan Juli.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 141 Documents
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Optimasi Perencanaan Produksi Menggunakan Linear Programming dan Analisis Sensitivitas Pada UMKM Coffee Suganda Majalengka Hamidah, Siti Nur; Aprilia, Hafiza; Abdullah, Fadil
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

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