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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.
IMPLEMENTATION OF AREFI TO IMPROVE BASIC KNOWLEDGE OF EFI Komarudin Komarudin; Widiyanti Widiyanti; Mahfudi Sahly Subandi; Dianna Ratnawati; Sudirman Rizki Ariyanto; Tiwit Nor Hidayat; Achmad Chairuddin; Risca Zahra Permatahat
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.8559

Abstract

Many students do not demonstrate optimal mastery because EFI mate-rial is considered complex and abstract, while conventional learning using engine stands has limited accessibility outside school hours. This innovation is designed to create an immersive learning experience fo-cused on reinforcing foundational knowledge regarding the identifica-tion of components, functions, and the operational flow of the EFI sys-tem. The study employs a quantitative method with a quasi-experimental design of the Non-equivalent Control Group Design type. The research sample consisted of 80 students in the 11th grade of Light Vehicle Engineering, divided into an experimental group and a control group. Data were collected through pre-tests and post-tests, then ana-lysed using ANOVA with a significance level of α=0.05. The results of the study indicate that the use of AREFI media has a significant posi-tive impact on student learning outcomes. There was an increase in the average score from 44.73 in the pre-test to 70.92 in the post-test. The ANOVA test results showed an F value of 90.217 with a significance level of 0.000 (p < 0.05), proving that the difference in learning out-comes between the two groups was caused by the use of the AREFI media. Therefore, it can be concluded that the AREFI learning media has proven to be effective as an innovative solution for visualizing abstract EFI concepts, enhancing interaction, and facilitating deep un-derstanding among vocational high school students.
THE EFFECT OF AUGMENTED REALITY-BASED AUTOMATIC TRANSMISSION MEDIA ON BASIC KNOWLEDGE Komarudin Komarudin; Imam Muda Nauri; Mardji Mardji; Erwin Komara Mindarta; Sudirman Rizki Ariyanto
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.6947

Abstract

Innovative and interactive learning media was needed to graduate a workforce that was in accordance with the world of work. Automatic Transmission based on Augmented Reality operated using a smartphone can help students know the components, functions and workings of AT. Augmented Reality is an application that combines the real world with the virtual world in the form of two dimensions or three dimensions projected in a real environment at the same time. Smartphones can be a digital media in delivering material. This research uses the ADDIE development model. This research aims to develop Automatic Transmission media based on Augmented Reality. AT media was evaluated by media experts, automotive experts and students. The validity test results show that AT media was valid according to media experts and automotive experts. This study aims to develop this media to help students master the prior knowledge of AT material. ANOVA test results show that AT AR media has an effect on prior knowledge. AT AR media was attractive, easy to operate using a smartphone and improves the ability to mention the names of AT components, explain the functions and workings of AT.
ANALISIS CONTROLLER AREA NETWORK (CAN) SYSTEM PADA MESIN GRAND LIVINA 2015 Kurniawan Nur Rizkillah; Erwin Komara Mindarta; Komarudin Komarudin
Jurnal Teknik Otomotif : Kajian Keilmuan dan Pengajaran Vol 10, No 2 (2026)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um074v10i22026p85-95

Abstract

Perkembangan teknologi pada CAN (controller area network) bus berorientasikan pada rangkaian sistem kendali yang lebih sederhana dan efisien agar dapat memberikan bobot pada kendaraan yang lebih ringan dan penggunaan kabel yang lebih sedikit sehingga dapat menggunakan sensor yang lebih sedikit. Yang paling penting dari perkembangan teknologi ini adalah pertukaran data dapat terhubung dalam satu protocol. Pada perkembangan teknologi ini juga bertujuan untuk menghemat cost produksi pada industri otomotif. CAN (controller area network) bus dikelompokan berdasarkan kecepatan pertukaran data, biasanya untuk pengelompokan CAN bus pada mobil diberi notasi huruf abjad. Untuk setiap grup biasanya terdapat beberapa sistem didalamnya. Dari perkembangan teknologi pada system CAN (control area network) bus dilakukan analisis untuk mengetahui lebih dalam bagaimana sistem CAN (control area network) Bus bekerja. Dapat dijadikan pembelajaran selanjutnya untuk meningkatkan pengetahuan dibidang otomotif. Untuk melakukan analisis sistem CAN bus pada Nissan Grand Livina dapat dilakukan dengan menggunakan AVO meter kemudian ukur tegangan pada pin nomor 14 dan pin nomor 16. Dapat melakukan live data stream untuk mengetahui kerusakan pada system CAN Nissan Grand Livina. Dengan ohm meter, periksa dulu pin No. 6 dan 14 DLC. Ohm meter akan membaca 60 ohm jika hubungan antara kedua pin tersebut baik. CAN (Controller Area Network) adalah serial communication line untuk real time application. Analisis live data stream pada sistem CAN/LAN, pendeteksian DTC Ketika terdeteksi error selama initial diagnosis CAN controller ECM. Diagnosis sistem CAN/LAN dapat dilakukan dengan mempersiapkan diagram kelistrikan sistem CAN untuk mempermudah.
Evaluating the Impact of Alternative Material-Based Catalytic Converters on Automotive Exhaust Emissions Sudirman Rizki Ariyanto; Warju Warju; Lailatus Sa&#039;diyah Yuniar Arifianti; Komarudin Komarudin; Ata Syifa&#039; Nugraha
Journal of Mechanical Engineering, Science, and Innovation Vol 5, No 1 (2025): (April)
Publisher : Institut Teknologi Adhi Tama Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jmesi.2025.v5i1.7287

Abstract

Pollution air in cities in Indonesia, such as Jakarta, Tangerang, and Bandung, is especially caused by exhaust emissions from vehicle motorized, like carbon monoxide (CO) and hydrocarbons (HC), which originate from burning material burn the ones that don't perfect. Technological catalytic converters are used to reduce emissions, but converters made from metal have their own cost. This study evaluates exhaust Metallic Catalytic Converter (MCC) technology with alternative materials copper (Cu). The result shows that the MCC Cu exhaust system is significantly more effective in reducing CO and HC emissions compared with exhaust without the original equipment manufacturer (OEM) catalyst and exhaust. The average CO emissions are 2.13 %Vol and HC emissions are 198 ppmVol, lower compared to the second type of exhaust. Findings This shows that MCC Cu exhaust is not only more effective in reducing danger but is also more economical compared to catalytic converters made from metal noble, offering a solution sustainable and affordable for problem pollution air from vehicles.
The Impact of Augmented Reality-Based Automatic Transmission (ATAR) on Improving Technical Maintenance Skills in Automotive Systems Komarudin Komarudin; Sudirman Ariyanto; Erwin Mindarta; Mahfudi Subandi
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 32 No. 1 (2026): (May)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v32i1.88368

Abstract

Vocational education requires innovation in teaching media to improve student competency, especially in the automotive field, where the limitations of expensive physical equipment often constrain the training of automatic transmissions. However, technology-based solutions such as Augmented Reality (AR) have not been widely explored to overcome this problem. This study aims to analyze the effectiveness of Augmented Reality-based Automatic Transmission (ATAR) teaching media in improving student learning outcomes at the Suzuki Training Center, Universitas Negeri Malang. Quantitative methods were used by comparing pretest and posttest scores to measure improvements in understanding and practical skills. The results showed a significant increase, proving ATAR as an effective learning medium (6). The implication is that ATAR not only overcomes the limitations of physical equipment but also has the potential to transform vocational training by preparing an adaptive workforce in the automotive industry. The uniqueness of this study lies in the development of ATAR as an immersive and interactive solution that has not been widely applied in the context of automatic transmission training.
Paired Learning Gains and Assessment Ceilings in Automotive Electrical Vocational Education Muhamad Akbar Nur Murtadlo; Erwin Komara Mindarta; Dani Irawan; Komarudin Komarudin
Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) Vol. 6 No. 4 (2026): Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI), 2026 (4)
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/jppi.v6i4.5682

Abstract

Automotive electrical-system education requires an understanding of circuit principles and component functions, yet evaluations based on class averages can obscure individual differences and assessment limitations. This study examined changes in test performance before and after instruction recorded as problem-based learning in a headlamp and starter-system unit for Grade XI vocational automotive students. A one-group design was used to analyse 34 matched pre-test and post-test scores on a 0-to-100 scale. Descriptive statistics, paired t tests, Wilcoxon signed-rank tests, an exact sign test, standardized mean change, normalized gains, bootstrap confidence intervals, and exploratory analyses of baseline scores and gains were conducted. Mean scores increased from 71.91 to 95.88, representing a gain of 23.97 points. Thirty-two students improved, while two recorded lower post-test scores. All paired-change tests indicated statistically significant differences, with p values below 0.001, and the standardized within-student effect size was 1.09. An inverse association between baseline performance and arithmetic gain requires caution because the measures are mathematically linked. Seventeen students attained the maximum post-test score, indicating substantial ceiling concentration that may limit the assessment's discrimination at higher achievement levels. The results document a large, widespread improvement in recorded scores following the instructional unit. However, the absence of a comparison group prevents causal attribution of the improvement to problem-based learning. Student-level analysis and scrutiny of assessment properties offer a more informative basis for evaluating learning gains in vocational education.