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All Journal Jurnal Teknik Majalah Ilmiah Pengkajian Industri Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Automotive Experiences Jurnal Vokasi Sains dan Teknologi
Nugroho, Sinung
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ANTI-VANDALISM SYSTEM FOR MONITORING SMART LEVEL CROSSING PROPERTY: A COMPREHENSIVE REVIEW Rosyidi, M.; Fiantika, Thiya; Irawati, Novi; Nugroho, Sinung
Majalah Ilmiah Pengkajian Industri Vol. 14 No. 3 (2020): Majalah Ilmiah Pengkajian Industri
Publisher : Deputi TIRBR-BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29122/mipi.v14i3.4089

Abstract

This research addresses the problem of vandalism incident related to the smart level crossing technology. Smart level crossing system is essential as a safety system inside the level area, because of that any failure related to the System will endanger the railway and road user. Another subsystem that protects smart level crossing property is critical. This research will show the plan for applying anti-vandalism technology and analysis another possibility of technology related to the System. Keywords: Vandalism, Smart, Level crossing, Subsystem, Railway.
Development of Learning Media for Volleyball Subject Refereeing Subjects Based on Satellite E-Learning Widianingsih, Onyas; Indrakasih, Indrakasih; Nugroho, Sinung; Sihombing, Hardodi
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 4, No 1 (2021): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i1.1689

Abstract

This research is a research on the development of learning media for the subject matter of the Volleyball subject matter based on e-learning satellite. This study discusses the role of learning media with technology. This study uses research from Borg and Gall through 10 stages including:(1) Preliminary Study, (2) Research planning, (3) Initial product development, (4) Initial (limited) field trials, (5) Revision of limited field test results, (6) wider field trials, (7) Revision of field test results, (8) Feasibility test, (9) Revision of feasibility test results, (10) Dissemination and socialization of final products. Results of this study: Small group test was carried out by testingdisplay of refereeing material Based on the value of the assessment questionnaire display of refereeing materialWith indicators of learning implementation assessment and material display, it is concluded that the questionnaire given to small groups has an effectiveness of implementing e-learning based refereeing learning by 55%. In other words, there is still much that needs to be improved so that the application used can have maximum effectiveness in the effectiveness of the assessment questionnaire pimplementationrefereeing learning based on e-learning It can be concluded that the questionnaire given to IT and Media experts has a display pimplementationrefereeing learning based on e-learning 56%.
Enhancing Brake System Evaluation in Periodic Testing of Goods Transport Vehicles through FTA-FMEA Risk Analysis Ansori, Irfan; Waskito, Dwitya Harits; Mutharuddin, Mutharuddin; Irawati, Novi; Nugroho, Sinung; Mardiana, Tetty Sulastri; Subaryata, Subaryata; Siregar, Nurul Aldha Mauliddina
Automotive Experiences Vol 6 No 2 (2023)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.8394

Abstract

Failure of the braking system is one of the factors causing traffic accidents, therefore periodic testing of goods transport vehicles is very important. In fact, the incidence rate is still very high despite routine testing. Standard Operating Procedures (SOP) for periodic testing must be updated to reduce the risk of possible accidents. Therefore, procedures for updating the SOP for periodic brake system testing are presented in this article. The Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA) methods were applied based on accident investigation data from the National Transportation Safety Committee (NTSC) from 2017 to 2022. FTA is used for risk identification, while FMEA is used for risk analysis to find the highest-risk failure cases. The results of our analysis showed that 13 failure cases were classified as intolerable so additional SOPs were required for each case. Finally, the results of this study provide new insights for stakeholders to revise the rules regarding periodic vehicle testing.
The Road Safety: Utilising Machine Learning Approach for Predicting Fatality in Toll Road Accidents Mutharuddin, Mutharuddin; Rosyidi, M.; Karmiadji, Djoko Wahyu; Fitri, Hastiya Annisa; Irawati, Novi; Waskito, Dwitya Harits; Mardiana, Tetty Sulastry; Subaryata, Subaryata; Nugroho, Sinung
Automotive Experiences Vol 7 No 2 (2024)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.11082

Abstract

Road safety is one of the critical government transportation concerns, especially on the toll roads. With the increasing number of toll roads as part of infrastructure planning, road traffic accidents are significantly escalating. Developing a system that predicts accidents on toll roads will benefit to reduce the harm that is caused by traffic accidents. This study will propose a method for analysing toll road accidents in Indonesia using historical toll road accident data as a dataset to become a pattern to examine the frequency of accidents. This dataset consists of various parameters from three main factors that cause accidents: human, environmental, and road infrastructure factors. Machine learning technique will be mainly used to determine the most influencing factors by employing classifiers such as Logistic Regression (LR), Decision Tree (DT), Gaussian Naïve Bayes (GNB), and K-Nearest Neighbors (KNN) can construct the prediction model. Fourteen subfactors from the data were used to predict the future fatalities caused by accidents, which allowed the system to forecast the accident fatality. The results show accuracy performance on the test set with LR, DT, KNN, and GNB models, 85.3%, 79.4%, 87.1%, and 77.1%, respectively. The KNN Classifier model has the most minor error value of 0.6 compared to the other models. The study’s findings will help analyse the causal factors involved in toll road accidents and could be utilised by road authorities to employ risk control options to mitigate the ramifications.
A Systematic Literature Review of Risk Assessment Methodologies for Battery Electric Vehicles Gusti, Ayudhia Pangestu; Waskito, Dwitya Harits; Kaleg, Sunarto; Bowo, Ludfi Pratiwi; Pratama, Angjuang; Maulani, Defi Rizki; Varadita, Ayumi Putri; Nugroho, Sinung; Wiguna, I Kadek Candra Parmana
Automotive Experiences Vol 8 No 1 (2025)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.12835

Abstract

This systematic literature review investigates risk assessment methodologies for Battery Electric Vehicles (BEVs), highlighting their diversity and effectiveness in addressing emerging safety challenges. With the rapid global adoption of BEVs, there is an increasing need for robust methodologies to assess risks such as thermal runaway (TR), degradation, and operational failures. This review highlights techniques such as fuzzy failure mode and effect analysis (FMEA), hybrid neural networks, bayesian networks (BN), and entropy weight methods. These tools effectively identify and mitigate risks; however, they face challenges in providing holistic, system-level safety assessments and adapting to long-term, real-world conditions. Unlike previous works, this study integrates interdependent BEV subsystems into unified risk models and examines underexplored areas such as maritime transport safety. The transport of BEVs by vessels presents unique risks, including high humidity and confined cargo spaces, which intensify the battery safety challenges. Tools like FMEA and real-time monitoring systems are critical to mitigate these risks. The findings highlight the growing reliance on real-time diagnostics and advanced algorithms for enhancing BEV safety and reliability. By identifying gaps and proposing recommendations, this review aims to support the development of standardized frameworks to ensure BEV safety across various environments and operational scenarios, contributing to their continued global adoption.
Pengaruh Beban Kerja Mental Terhadap Waktu Respon Pengemudi di Kondisi Lalu Lintas Pedesaan dan Perkotaan Lita Setiawati; Lahay, Idham Halid; Wolok, Eduart; Nugroho, Sinung; Nugroho, Hastiya Annisa Fitri; Nugroho, Mutiara Kurnia
Jurnal Teknik Vol 23 No 1 (2025): Jurnal Teknik
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37031/jt.v23i1.528

Abstract

Mental workload is one of the factors that affect driver safety. This study examines the effect of mental workload on truck driver response time in rural and urban traffic conditions. Mental workload was measured using the NASA-TLX questionnaire and physiological measurements using HRV and EEG. Response time was tested using detection simulation. The results showed that drivers experienced moderately high mental workload, with the urban environment showing cognitive enhancement based on alpha signals and LF variables. However, regression analysis found no significant relationship between mental workload and driver response time in either rural or urban environments. This study provides insight that while traffic conditions may affect the level of mental workload of drivers, the impact on response time is not always significant. These findings can serve as a basis for further research in understanding the relationship between mental workload, traffic conditions and driving safety.
Perbandingan Akurasi Deteksi Pengemudi Truk Pada Kondisi Waktu Siang dan Malam Hari Adjidji, Masyita Nur Aulia; Lasalewo, Trifandi; Lahay, Idham Halid; Nugroho, Sinung; Kurnia, Siti Hidayanti Mutiara; Fitri , Hastiya Annisa
Jurnal Vokasi Sains dan Teknologi Vol. 4 No. 2 (2025): JURNAL VOKASI SAINS DAN TEKNOLOGI (MEI)
Publisher : Program Vokasi UNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56190/jvst.v4i2.73

Abstract

Kemampuan pengemudi truk dalam mendeteksi objek secara akurat menjadi aspek krusial dalam menjamin keselamatan berkendara, terutama di tengah tantangan visibilitas pada waktu siang dan malam hari. Penelitian ini bertujuan untuk membandingkan akurasi deteksi objek oleh pengemudi truk pada dua kondisi waktu tersebut melalui simulasi berbasis video. Sepuluh pengemudi truk pria mengikuti dua sesi simulasi, masing-masing mewakili kondisi siang dan malam. Respons peserta dikategorikan ke dalam empat jenis: hit, miss, correct rejection, dan error. Hasil analisis menggunakan uji paired sample t-test dengan pendekatan bootstrap menunjukkan bahwa perbedaan akurasi deteksi antara kondisi siang dan malam tidak signifikan secara statistik (p = 0,207). Meski demikian, hasil deskriptif memperlihatkan bahwa rata-rata akurasi deteksi pada malam hari (86,77%) sedikit lebih tinggi dibandingkan dengan siang hari (84,74%). Temuan ini mengindikasikan bahwa waktu berkendara bukanlah satu-satunya faktor penentu akurasi deteksi. Elemen lain seperti pencahayaan tambahan (misalnya daytime running lights (DRL) dan reflektor), karakteristik individu, dan tingkat kewaspadaan kemungkinan turut memengaruhi kinerja deteksi. Hasil ini memberikan kontribusi awal untuk pengembangan intervensi keselamatan lalu lintas yang mempertimbangkan variasi kondisi visual serta faktor individu dalam berbagai situasi berkendara.
Co-Authors Adjidji, Masyita Nur Aulia Ansori, Irfan Ayudhia Pangestu Gusti Eduart Wolok Fiantika, Thiya Fitri , Hastiya Annisa Fitri, Hastiya Annisa Idham Halid Lahay Indra Kasih Karmiadji, Djoko Wahyu Lita Setiawati Ludfi Pratiwi Bowo Mardiana, Tetty Sulastri Mardiana, Tetty Sulastry Maulani, Defi Rizki Mutharuddin, Mutharuddin Novi Irawati Nugroho, Hastiya Annisa Fitri Nugroho, Mutiara Kurnia Pratama, Angjuang Rosyidi, M. Sihombing, Hardodi Siregar, Nurul Aldha Mauliddina Siti Hidayanti Mutiara Kurnia, Siti Hidayanti Mutiara Subaryata, Subaryata Sunarto Kaleg Trifandi Lasalewo Varadita, Ayumi Putri Waskito, Dwitya Harits Widianingsih, Onyas Wiguna, I Kadek Candra Parmana