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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.