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All Journal Industrika : Jurnal Ilmiah Teknik Industri Madani: Multidisciplinary Scientific Journal
Muhammad Nashiruddin
Universitas Tulang Bawang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Public Health Social Sciences Other

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Cafeteria Waste Valorization via Black Soldier Fly Larvae: A Sustainable Approach to Alternative Feed Development Riana Septiani; Muhammad Nashiruddin; Susanti Sundari
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 10 (2025): November
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17560541

Abstract

The increasing population and intensity of food service activities have contributed to a substantial rise in cafeteria waste volume. This organic waste, characterized by its complex nutrient and moisture content, poses serious environmental challenges, particularly through greenhouse gas emissions resulting from conventional landfill practices. Within the framework of the circular economy, this study explores the potential of bioconversion of cafeteria organic waste using Black Soldier Fly (BSF) larvae as an innovative and sustainable waste management solution. A quantitative experimental method was employed to evaluate the efficiency of waste mass reduction and to analyze the added value of the resulting BSF larvae as an alternative feed ingredient. The findings demonstrate a high effectiveness of BSF larvae in reducing waste volume, as indicated by an optimal Waste Reduction Index (13.98%), an efficient bioconversion rate (96.34%), and a favorable Feed Conversion Ratio (1.04). The process proved to be rapid and cost-efficient, with an operational cost of approximately IDR 3.5 million per month, generating both economic and environmental value.
Real-Time IoT-Based Production Output Monitoring on High Pressure Die Casting Machine Using Patlite System Muhammad Nashiruddin; Susanti Sundari
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 3 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/ge1vg003

Abstract

The aluminum High Pressure Die Casting process requires accurate real-time production monitoring to improve productivity, quality, and equipment efficiency. However, many die casting facilities still rely on manual production recording, causing reporting delays, recording errors, and limited operational visibility. This study develops an Internet of Things (IoT)-based production output monitoring system by integrating Patlite signals with a  DC350 High Pressure Die Casting machine. The system uses ESP32 microcontrollers, MQTT communication, and a web-based dashboard to automatically record machine status, shot count, production output, cycle time, downtime, and Overall Equipment Effectiveness (OEE). Experimental validation achieved 98.4% machine status detection accuracy, 99.2% production output accuracy, and 0.98-second communication latency. The system reduced manual recording time by 87%, improved production transparency and data reliability, and supported Industry 4.0 implementation in aluminum die casting manufacturing. Keywords: High Pressure Die Casting, Patlite, IoT, Production Monitoring, Smart Manufacturing
Perancangan Dashboard Monitoring Kinerja Produksi Berbasis Key Performance Indicator (KPI) pada Perusahaan Manufaktur Otomotif Muhammad Nashiruddin; Susanti Sundari
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 4 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/gy826w72

Abstract

Competition in the automotive manufacturing industry requires companies to monitor production performance quickly, accurately, and in an integrated manner. Common problems include fragmented production data, periodic reporting, and limited visualization of production achievement, productivity, quality, and downtime. This study aims to design a production performance monitoring dashboard based on Key Performance Indicators (KPIs) to support management in monitoring production conditions and determining improvement priorities. The research method consists of information-needs identification, data collection, KPI determination, data processing, dashboard design, and evaluation. The selected KPIs include production achievement, productivity, defect rate, downtime, and Overall Equipment Effectiveness (OEE). Six-month simulated data are used to demonstrate the application of the method. The results show an average production achievement of 95.45%, productivity of 95.83%, defect rate of 2.02%, and OEE of 78.33%. The proposed dashboard presents key indicators, performance trends, target-versus-actual comparisons, defect Pareto analysis, and downtime information. The design provides a concise visualization of production conditions and supports data-driven decision making. The data in this study are simulated and can be replaced with actual company data without changing the methodological framework. Keywords: Automotive Industry, Dashboard, KPI, OEE, Production Performance
Co-Authors Riana Septiani Susanti Sundari