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Application of Particle Swarm Optimization in Duty Cycle Adjustment for Optimization of Oxyhydrogen Generator Pertiwi, Fungky Dyan; Anindito, Dhimas Cahyo; Habibi, Ilham; Kusumadewi, Tri Vicca; Setiyo, Muji; Kolakoti, Aditya
ASEAN Journal of Science and Engineering Vol 4, No 2 (2024): AJSE: September 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ajse.v4i2.70509

Abstract

The duty cycle of pulse width modulation is used to adjust the current of the oxyhydrogen generator with on-off square signals. These signals are essential for an oxyhydrogen gas generator to reduce thermal operation, improve the quality of oxyhydrogen gas, and enhance efficiency. A framework combining particle swarm optimization and regression analysis was proposed to determine the minimum temperature and production time of oxyhydrogen gas while maximizing efficiency using a single input, the duty cycle. The optimization results indicated that the duty cycle for the optimum solution remained within the upper and lower temperature boundaries. In this study, particle swarm optimization successfully provided valuable insights for practical applications in renewable energy technologies.
Optimasi AFR pada Gasoline Engine Menggunakan Sistem Controller pada Vehicle Speed Sensor Anindito, Dhimas Cahyo; Hikmahtiar, Muhammad Rasyid
Borobudur Engineering Review Vol 4 No 01 (2024): Automatic control system
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/benr.v4i01.11117

Abstract

The number of motorised vehicles has increased significantly in recent times. Derived petroleum products are still the main fuel for these internal combustion engines. But on the other hand, its availability is decreasing and its price is becoming increasingly expensive. This problem is the background to the importance of efforts to improve the efficiency of fuel consumption in motorised vehicles. One way to improve fuel efficiency is by increasing the optimisation of Air Fuel Ratio (AFR) with a control system. In this research, the control system used is an external engine control system (Honda Verza 150 FI) that works based on vehicle speed data. This control system works by resetting the fuel supply released when the motorbike decelerates so as to produce a better AFR value and more efficient fuel consumption. Based on the results of experimental tests conducted at 5 different deceleration speed variations (40 km/h, 50 km/h, 60 km/h, and 70 km/h) when using a modified ECU there is an increase in AFR value when compared to when using a standard ECU. The highest increase in AFR value occurs at a deceleration speed of 70 km/h with the AFR difference reaching 0.4 when compared to using the standard ECU. As for fuel consumption, the modified ECU is 150 cc more efficient than the standard ECU with the same test distance of 35.2 km
A New Approach to Measuring Institutional and Researcher Contributions to the SDGs: Combining Data from Elsevier SciVal and VOSviewer Pertiwi, Fungky Dyan; Anindito, Dhimas Cahyo; Habibi, Ilham; Saifudin; Munahar, Suroto; Purnomo, Bagiyo Condro; Fatimah, Yun Arifatul; Waluyo, Budi; Setiyo, Muji
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.1076

Abstract

The Sustainable Development Goals (SDGs), established by the United Nations in 2015, are a comprehensive global framework that addresses social, economic, and environmental challenges through sustainable development. This study examines the role of universities, specifically focusing on the Department of Mechanical Engineering at Universitas Muhammadiyah Magelang (UNIMMA), in contributing to the SDGs. The study utilized data from Elsevier’s SciVal to analyze the department’s contribution to the SDGs through scientific publications in the Scopus database. A total of 97 out of 156 articles published by nine researchers from the department were found to contribute to various SDGs, with a significant focus on Goals 7 (affordable and clean energy), 17 (partnerships for the goals), 9 (industry, innovation, and infrastructure), and 12 (responsible consumption and production). The study highlights the department’s collaborative efforts and alignment with global sustainability goals. In addition, VOSviewer was used to map the research collaboration network within the department, revealing strong contributions to energy efficiency, sustainable technologies, and climate action. However, the department's research shows limited contribution to social SDGs such as poverty alleviation and gender equality. By mapping the university’s contributions to the SDGs, this study helps faculty members identify opportunities for targeted research collaborations, address gaps in SDG contributions, and enhance partnerships with researchers from other institutions, thus broadening the university’s impact on global sustainable development goals.