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Penyuluhan Pemilahan dan Pengolahan Limbah Kain Martinus Edy Sianto; Dian Retno S.D; Jaka Mulyana; Julius Mulyono; Irene Karijadi; Albert Gunadhi
Jurnal Ragam Pengabdian Vol. 2 No. 3 (2025): September-Desember "Community Empowerment Through Digital Literacy Programs to
Publisher : Lembaga Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/xyyaq628

Abstract

In the preliminary meeting with SMPK St. Agnes as a partner, it was known that the partner had implemented restrictions on the use of plastic materials, but had never received counseling material on the dangers of textile waste. This activity aims to increase awareness and knowledge of partners regarding the concept of sustainability, the hazards of fabric waste and how to sort and treat it. In this activity, various types of textile materials, their properties and how to utilize and process them after they are no longer used were explained. This activity also involved PT Panjimas as a company that processes textile waste into yarn raw materials, which was involved as one of the speakers. This activity was attended by 43 participants consisting of 20 students and 23 teachers/employees. The evaluation was carried out using a questionnaire. After the activity, the participants stated that there was an increase in awareness of the hazards of textile waste with details, 25 respondents were very aware, 16 were quite aware, and only 2 were slightly aware. No respondents felt that they had not changed. This community service activity succeeded in achieving its objectives, but improvements in methods, duration, and approaches were needed to ensure a greater and more sustainable impact in the future.
Optimal Order Scheduling for Corrugated Box Production on Flexographic Printing Machines Using a Genetic Algorithm Irene Karijadi; Ivan Gunawan; Stephanie Gracia Khangara
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v25.n1.p25-41.2026

Abstract

In a flexographic printing machine, color changeover actually takes up excessive time and serves as a bottleneck in the corrugated cardboard packaging manufacturer. This causes inefficiency and reduces the output. The objective of this study is to optimize production scheduling using a Genetic Algorithm (GA) to minimize sequence-dependent setup times (SDST). The current manual scheduling method used in the studied flexographic printing environment does not explicitly account for the sequence-dependent color changeover structure considered in this study, creating opportunities for improved scheduling performance through optimized production sequencing. To address this problem, the SDST problem was first formulated as a Mixed-Integer Linear Programming (MILP) model based on systematic observation and historical production data. A customized GA was then developed to generate high-quality scheduling solutions, and a systematic parameter tuning process was conducted, identifying an effective configuration of population size 500, 100 generations, and mutation rate 0.7 to ensure stable convergence. Results show that the proposed GA framework reduced setups times by over 70.78% (equivalent to 5.04 hours per shift) compared to the facility’s existing manual scheduling baseline and also outperformed the greedy heuristic benchmark, consistently achieving an average setup time of 8,466.63 seconds across multiple runs with low variability, demonstrating reliable performance. This study shows that GA can serve as a practical approach for optimizing scheduling in flexographic printing and closely related sequence-dependent color changeover production contexts, although the current model is based on deterministic conditions with fixed job sequences, which may limit responsiveness to dynamic production uncertainties such as machine breakdowns or rush orders, suggesting the need for future enhancements using simulation and multi-objective optimization approaches.