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All Journal Jurnal Pendidikan Teknik Mesin Media Mesin: Majalah Teknik Mesin Jurnal METTEK (Jurnal Ilmiah Nasional Dalam Bidang Ilmu Teknik Mesin) Journal of Mechanical Engineering Science and Technology STEAM Engineering : Journal of Science, Technology, Education And Mechanical Engineering JMES The International Journal of Mechanical Engineering and Sciences Madiun Spoor : Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Sains dan Teknologi Jurnal Polimesin
Ata Syifa’ Nugraha
Jurusan Teknik Mesin, Universitas Billfath, Indonesia
Agriculture, Biological Sciences & Forestry Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Optimizing Motorcycle Combustion System for Carbon Monoxide Emission Reduction Using the Taguchi Method Arifianti, Lailatus Sa’diyah Yuniar; Irawan, M. Bahrul Ilmi; Nugraha, Ata Syifa'; Ariyanto, Sudirman Rizki; Ridho, Muhammad Rasyid
JMES The International Journal of Mechanical Engineering and Sciences Vol 9, No 2 (2025)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i2.23192

Abstract

 In Indonesia, the dominance of motorcycles as the primary mode of transportation has created a significant urban air quality crisis, largely driven by exhaust emissions. Carbon monoxide (CO), a key indicator of incomplete combustion, poses a serious risk to public health and the environment. While previous studies have examined engine parameters like spark plugs, ignition coils, or fuel quality in isolation, this study addresses a critical gap by shifting from single-factor analysis to a holistic, multi-parameter optimization. This approach is unique in its application of the Taguchi Method to identify a robust, real-world solution specifically tailored to the Indonesian context. We systematically optimized a motorcycle's combustion system by evaluating three key parameters—fuel type, spark plug type, and ignition coil—at three levels each. Using an L9 Orthogonal Array and a smaller-the-better Signal-to-Noise (S/N) ratio, we aimed to minimize CO emissions. The results identified an optimal configuration of Mobil fuel, an NGK Iridium spark plug, and a Suzuki A100 coil, which achieved a 42.03% reduction in CO emissions compared to the standard setup. Analysis of Variance (ANOVA) confirmed that fuel quality is the overwhelmingly dominant factor, contributing nearly 90% to the outcome. These findings provide a practical, low-cost emission control strategy with direct policy relevance for Indonesia, offering a clear path for vehicle maintenance shops and owners to contribute to cleaner air and support sustainable transportation goals.
Optimizing copper catalytic converter designs for emission reduction in automatic motorcycles using grey relational analysis Sudirman Rizki Ariyanto; Warju Warju; Komarudin Komarudin; Ata Syifa' Nugraha; Susi Tri Umaroh
Jurnal Polimesin Vol 23, No 2 (2025): April
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i2.6375

Abstract

Vehicle emissions remain a major environmental challenge in urban areas, particularly in developing countries like Indonesia, where motorcycles dominate transportation. Automatic motorcycles pose specific emission control difficulties due to their engine characteristics. This study experimentally evaluates six copper-metallic catalytic converter designs installed on a 150cc automatic motorcycle under idle and 3000 rpm conditions. Exhaust emissions of carbon monoxide (CO) and hydrocarbons (HC) were measured using a gas analyzer. Grey Relational Analysis (GRA) was employed to optimize the design parameters. The E3 design (curvature height: 4 mm, diameter: 54 mm, length: 100 mm) exhibited the best performance, reducing CO to 3.72% and HC to 539 ppm. Compared to standard designs, E3 improved emission reduction by 18–36%. These findings confirm that catalyst geometry significantly influences emission control and demonstrate the effectiveness of GRA in multi-parameter optimization. The results contribute to the development of efficient, affordable catalytic converters, supporting sustainable transportation and aligning with SDG 13 goals for climate action.
Co-Authors Anggara Sukma Ardiyanta Arifianti, Lailatus Sa’diyah Yuniar Ariyanto, Sudirman Ariyanto, Sudirman Rizki Ariyanto, Sudirman Rizki Bagas Surya Hadi Cahyadi, Wahyu Cahyadi, Wahyu Robby Hadi, Bagas Irawan, M. Bahrul Ilmi Komarudin Komarudin Muhammad Pratama Muhammad Yandi Pratama Muhammad Yandi Pratama Pangestu, Muhammad Tegar Jaya Pratama, Muhammad Yandi Rachmad Syarifudin Hidayatullah Retno Wulandari Ridho, Muhammad Rasyid Soeryanto Soeryanto Suprayitno Suprayitno Susi Tri Umaroh Wahyu Robby Cahyadi WARJU Yelma Dianastiti