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OPSI
Published by Universitas Pembangunan Nasional Veteran Yogyakarta
ISSN : 16932102     EISSN : 26862352     DOI : https://doi.org/10.31315/opsi
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Jurnal OPSI adalah Jurnal Optimasi Sistem Industri yang diterbitkan oleh Jurusan Teknik Industri UPN “Veteran” Yogyakarta sebagai wahana publikasi hasil karya ilmiah, penelitian rekayasa teknologi di bidang Teknik Industri, Sistem Industri, Manajemen Industri dan Teknologi Informasi.
Arjuna Subject : -
Articles 255 Documents
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Preservation, production, and packaging optimization in SMEs: A study on 'Keripik Lumba-Lumba' Ismianti, Ismianti; Rahman, Ibnu Fahrul; Lasmana, Amorette Garnetta; Anisah, Eka Nur
OPSI Vol 17 No 2 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i2.12299

Abstract

'Keripik Lumba-Lumba' is a Small and Medium-sized Enterprise (SME) that specializes in the production of cassava chips and banana chips. This SME faces several problems such as raw material shrinkage due to shipping, double work, and different product shelf life between each distributor. This research designed a solution to the problems in the SME with shelf-life preservation, job design, and new packaging design. A truck equipped with a temperature control system was designed to prevent the banana raw materials from rotting during transport. Wooden boxes were also provided in the truck for separating containers, these wooden boxes were lined with a solid mixture of KMnO4, clay, and ash. To solve the problem of the production process within ‘Keripik Lumba-Lumba’, the job design system can be changed to schedule and allocate employees according to their respective tasks. On the issue of shelf life difference between convenience stores and distributors, the packaging material for distributors can be changed from plastic to aluminium foil. This will allow ‘Keripik Lumba-Lumba’ to continue to grow with the application of technology in the process of delivery, storage, packaging as well as changes in the work system.
Living room design using Kansei Engineering approach with toddler safety aspect Hanifati, Azizah Nurul; Azmi, Nora; Habyba, Anik Nur
OPSI Vol 17 No 2 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i2.13236

Abstract

Toddlers experience physical accidents in the house at a rate of 90 percent. Based on observations, the living room was the most dangerous part of the building compared to other parts. That condition made the parents feel that the safety of their little one was not fully supported. This study aims to design a living room that is safe and comfortable for Toddlers. The design output supports the interior designers in creating a safer Toddler environment. Kansei Engineering guides the identification of living room design for parents looking for their toddlers' safety. The Kansei words gathered from the study are comfortable, multifunction, safe, easy to clean, simple, large capacity, and harmonious. These Kansei words injected into the concept design, which is the harmonious design concept and the simple design concept, by using Principal Component Analysis. The harmonious design has a wood table (X5.1) with a sofa (X7.2) and TV (X9.1) and no flower vase (X11.2) as its decoration, while the simple design has a plastic table (X5.2) with a wood seat (X7.1) and with flower vase (X11.1) but no TV (X9.2). The insights gathered were designed with Blender 3D and integrated with virtual reality Oculus simulation through the SketchFab website.
Food waste in Indonesia: Assessing readiness for valorization Immawan, Taufiq
OPSI Vol 17 No 2 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i2.13307

Abstract

In Indonesia, 23-48 million tons of food waste are generated annually, causing economic losses of IDR 213-551 trillion or around 4-5% of GDP. Food waste offers potential for valorization into products like animal feed, organic fertilizer, and biofuel but faces challenges such as technological limitations, high costs, and safety concerns. This study examines the safety of food waste-derived products for human and animal use, focusing on applications in animal feed, the food industry, cosmetics, bio-refinery, and organic fertilizers. Key processes include contaminant removal and safety assessments, though limited studies address physicochemical, microbiological, and toxic contaminant evaluations. Identified gaps in Indonesian regulations, particularly regarding safety standards, highlight the need for clearer guidelines and support for eco-friendly technologies. Enhancing these frameworks can ensure the safe and sustainable valorization of food waste.
Optimizing work movements to reduce injury risk: Application development with Methods-Time Measurement and WebQual analysis Muzakir, Ari; Wahyudi, Adhie Tri; Astanti, Yuli Dwi; Kusmindari, Christofora Desi
OPSI Vol 17 No 2 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i2.13478

Abstract

Optimizing work movements is crucial for enhancing efficiency and reducing injury risks in industrial environments. Methods like Methods-Time Measurement (MTM), Work Factor (WF), and Maynard Operation Sequence Technique (MOST) are commonly used to analyze and optimize the workstations. However, there remains a lack of accessible tools for rapid and accurate time measurement. This study aims to develop a web-based and Android application designed to assist both students and professionals in calculating work times and optimizing movements (such as: material handling) more efficiently. The application was evaluated using the WebQual method, focusing on usability quality, information quality, and interaction quality. Evaluation results yielded scores of 82.3% for usability, 85.7% for information quality, and 80.5% for interaction quality. Validity and reliability tests demonstrated a Cronbach's Alpha coefficient of 87%, indicating very high reliability. The integration of MTM within this application has proven effective in accelerating work time calculations compared to manual methods and in improving movement efficiency, which directly contributes to reducing injury risks. 
A hybrid Genetic Algorithm and Fuzzy Logic approach to ergonomic design of workstations in metal casting operations Berlianty, Intan; Soejanto, Irwan; Titisariwati, Indun; Putra, Favian Ersanta Andhika; Utami, Wahyu Tri; Insani, Mohamad Kamil
OPSI Vol 17 No 2 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i2.13943

Abstract

The metal casting industry faces significant challenges in balancing productivity with worker safety and well-being. Hazardous working conditions, including high temperatures, exposure to gases, and repetitive motions, increase the risk of injuries and fatigue. 1 This study proposes a novel hybrid approach that integrates Genetic Algorithm (GA) and Fuzzy Logic (FL) to optimize workstation ergonomics. The system utilizes real-time data from sensors to evaluate ergonomic factors such as worker posture, fatigue levels, and environmental conditions. Fuzzy Logic processes this data, while GA optimizes the system's parameters for enhanced accuracy and adaptability. Experimental results demonstrated significant improvements, including a 25% reduction in worker fatigue, a 30% improvement in air quality compliance, and a 35% decrease in ergonomic risks. Real-time adjustments, such as desk height modifications and improved ventilation, effectively enhanced worker safety and comfort. This innovative approach offers a scalable and reliable solution for improving ergonomics in dynamic industrial environments, contributing to both worker well-being and operational efficiency. Future research could further enhance the system by incorporating machine learning for improved predictive capabilities and expanded optimization of ergonomic parameters.

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