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Application of Maggot Cultivation Technology to Strengthen Competitiveness of Sustainable Food Micro, Small, and Medium Enterprises Kastaman, Roni; Syahmurman, Faizal; Rahmah, Devi M.; Ardiansah, Irfan; Kurniawan, Koko Iwan Agus; Januardi, Januardi; Puspita, Puspita; Nurliasari, Dessy; Hanifah, Aisyah
The Journal of Experimental Life Science Vol. 16 No. 1 (2026)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jels.2026.016.01.04

Abstract

The cultivation of maggots through the larvae of black soldier fly (Hemetia illucens) is increasingly recognized as a viable solution for organic waste management and alternative protein production. However, its integration into village-based enterprises and implications for Micro, Small and Medium Enterprises (MSMEs) competitiveness remain underexplored. This study examines how maggot cultivation strengthens food MSMEs using a circular economy framework and SWOT (strengths, weaknesses, opportunities, and threats) analysis. The study was conducted at Village-Owned Enterprises (Badan Usaha Milik Desa and abbreviated by BUMDes in Bahasa Indonesia) Kerta Setra Utama in Tasikmalaya, Indonesia. A mixed-methods approach was applied, combining qualitative observation with quantitative analyses of waste reduction, maggot yield, and protein content. Results showed a 65% reduction in organic waste within 5 days, a 28% increase in maggot biomass across 6 production cycles, and a 30% increase in household incomes. Using poultry manure as a substrate reduced waste by 31.2%. Furthermore, the substrate resulted in 114 g of dry weight.kg-1 of feed as well as 25.26% crude protein in less than eight days. SWOT analysis identified key constraints in community participation, institutional support, and technological capacity. There were opportunities that came from the integration of the circular economy and the expansion of green markets. The findings demonstrate that rural enterprises can effectively transform organic waste into economic value through maggot farming. Policy recommendations emphasize capacity building, green financing, and digital market integration to enhance scalability and long-term impact.
Analisis Sistem Antrean Untuk Optimasi Layanan Pada Kedai Minuman Populer XYZ Di Jatinangor Kurniawan, Koko Iwan Agus; Hasyim, Raihana Whidyani; Firdaus, Ajeng Salsabila; Ihsan, Diartanan Alghifari
JURNAL REKAYASA DAN MANAJEMEN AGROINDUSTRI Vol 14 No 1 (2026): Maret
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JRMA.2026.v14.i01.p07

Abstract

Queue management in popular beverage shops often encounters challenges, particularly in densely populated areas like Jatinangor. This study aims to: (1) analyze customer arrival patterns and service time distribution, (2) evaluate queue performance using the M/M/1 queuing model, and (3) provide strategic recommendations to enhance service quality. A quantitative descriptive approach was employed through direct observation during peak hours at XYZ Beverage Shop in Jatinangor. This study investigated data on arrival times, service durations, and queue lengths. The results revealed that customer arrivals follow a Poisson distribution with an average arrival rate (λ) of 15 customers/hour. Service times were normally distributed with an average of 2.3 minutes/customer (μ = 26 customers/hour). Queue performance based on the M/M/1 model indicated a system utilization rate (ρ) of 36.43%, an average number of customers in queue (Lq) of 0.21, and an average waiting time in queue (Wq) of 0.84 minutes. The current system is considered efficient, with a relatively short waiting time. However, it may encounter capacity issues during customer surges. Strategic recommendations include adopting a multi-server queue model (M/M/c) or implementing a digital queuing system to manage peak-hour demand. The findings also validate the applicability of classical queuing models in small-to-medium-scale F&B businesses with specific customer characteristics, such as student populations