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All Journal Tibuana : Journal of Applied Industrial Engineering Buletin Ilmiah Sarjana Teknik Elektro Nusantara Science and Technology Proceedings
Sulaiman, Yoga Aulia
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology

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Line Balancing Techniques for Efficiency Improvement in Construction Steel Company Pulansari, Farida; Sulaiman, Yoga Aulia; Restu
Nusantara Science and Technology Proceedings 1st International Conference Eco-Innovation in Science, Engineering, and Technology
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2020.0535

Abstract

XYZ company is a company engaged in steel construction. This company produces steel construction with several classifications, namely Building Construction (structure) and Mining Construction (Conveyor and Tank). This problem is found in the production process area where the efficiency of the company is not optimal because of the bottleneck between workstations. To increase efficiency and reduce bottlenecks, companies use the Largest Candidate Rule (LCR); Killbridge and the Western Method (KWM); and the Ranked Positional Weights (RPW) Method. After comparing the three methods, LCR has the best results. Production line efficiency is 92.2%, balance delay is 7.8%, and the smoothness index is 14.6 with 11 operators.
Smart Cold Storage Based on Photovoltaic with Adaptive Fuzzy Control Approach for Guard Quality of Fish Catch on Fishing Vessels Findiastuti, Weny; Umam, Faikul; Sulaiman, Yoga Aulia; Thinakaran, Rajermani; Dafid, Ach.; Andriansyah, Adi; Yusuf, Ahcmad
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 4 (2025): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i4.14508

Abstract

This research is motivated by the importance of maintaining the quality of fish catches on fishing vessels, which generally experience a decline in quality due to suboptimal conventional fish storage systems and limited energy supplies at sea. To address these challenges, the development of renewable energy-based cold storage technology through a Solar Power Plant (PLTS) or Photovoltaic system is needed. This research aims to design a PLTS-based smart cold storage system capable of optimally maintaining temperature stability using the Adaptive Fuzzy Control method. It is hoped that fish quality can be maintained and the economic value of fishermen's catches can be increased. This research uses an experimental approach through the design, implementation, and testing of a fuzzy logic-based adaptive control system in real-time. The performance results are then evaluated in maintaining the temperature stability of the cooling room and the efficiency of electrical energy sourced from solar panels. It is hoped that this research can provide real solutions for fishermen, support the economic independence of the fisheries sector, and support the achievement of sustainable development targets (SDGs) 7, 9 12, and 14. During the 24-hour test, the Adaptive Fuzzy Control system in a solar-based refrigerator demonstrated consistent performance in maintaining temperature stability (standard deviation σ = 3.28 °C–3.45 °C). The average refrigerator temperature was recorded at -5.44 °C with a range of -0.9 °C to -12 °C, which remains acceptable for marine fish preservation under superchilling and mild freezing conditions. The battery capacity was at an average of 89.95%, decreasing when there was no power supply and then increasing again during charging, thus reflecting adaptive energy management. The average charging speed was 3.14 A, with a peak of up to 15.6 A at 7–8 hours, then decreasing gradually as the battery was full to prevent overcharging. These findings confirm that the proposed system effectively balances cooling performance and renewable energy utilization. The use of solar photovoltaic energy directly supports SDG 7 (Affordable and Clean Energy), while system innovation and energy optimization align with SDG 9 (Industry, Innovation, and Infrastructure). The prototype demonstrates stable and efficient operation, and the design concept is scalable for practical implementation on small to medium-sized fishing vessels. A preliminary cost analysis indicates up to 50% lower operating costs compared to conventional diesel refrigeration systems.
Occupational Health and Safety Risk Assessment Application in Oil Refinery Using Hazard Identification, Risk Assessment and Risk Control (HIRARC) Sulaiman, Yoga Aulia; Reza Firnanda; Sindy Nindia M.H; Lutfia Agustin; And Ach. Dafid
Tibuana Vol 8 No 2 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.2.10502

Abstract

This research aims to evaluate occupational safety and health (OHS) risks in the oil refinery unit of PT XYZ using the HIRARC (Hazard Identification, Risk Assessment, and Risk Control) method. This method involves three main stages: hazard identification, risk assessment, and risk control. The research was conducted descriptively qualitatively through field observations, interviews, and the use of the HIRARC checklist. The identification results show that several work areas, such as the evaporator, separator, and stabilizer, have a Very High risk level due to extreme pressure and temperature, gas leakage, and the potential for explosion and fire. The risk assessment was conducted by considering the likelihood and consequence of each hazard. The risk control strategies analyzed include technical, administrative, and the use of personal protective equipment (PPE). However, most controls are still dominated by administrative approaches, while technical controls such as gas detection systems and shutdown automation have not been implemented optimally. The implementation of HIRARC has proven to be effective in systematically identifying and controlling risks, and contributing to a safer, healthier, and more productive work environment in the oil and gas industry.
Co-Authors And Ach. Dafid Andriansyah, Adi Dafid, Ach Faikul Umam Farida Pulansari Lutfia Agustin Restu Reza Firnanda Sindy Nindia M.H Thinakaran, Rajermani WENY FINDIASTUTI, WENY Yusuf, Ahcmad