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Pemberdayaan Guru Sekolah Mengenai Keselamatan Berlalu Lintas: Empowering School Teachers Regarding Traffic Safety Siswanto, Joko; Apriyanto, Rizal; Tohom, Frans; Widiandaru, Nanang Okta; Fahmadi, Aat Eska; Ikapraja, Bagus
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 9 No. 7 (2024): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v9i7.6876

The behavior of drivers in the Tegal City school community often violates traffic rules because they do not understand and are not aware of traffic safety. Increased knowledge, understanding, awareness and skills of teachers regarding traffic safety need to be increased and empowered more massively. Empowering school teachers regarding traffic safety includes 4 stages (preparation, initial test, community empowerment, and final test) with traffic safety community results. 240 PAUD/TK/RA, SD/MI, SMP/MTs, and SMA/SMK/MA teachers as participants for 2 days with 7 topics. The majority of participants consisted of bachelor's degrees (89.6%), women (55.8%), ages 36-46 (35%), and PAUD teachers (25.8%). The initial test for 7 topics is still between 20%. Activities on the first day are stages 1-4 and on the second day stages 5-7. The final test of 7 topics is above 75%. 7 topics had an increase of more than 55%. Increasing school teachers' knowledge has an impact on imparting knowledge to students about traffic safety which can be a step to reduce the occurrence of accidents on the road.

Real-Time Intelligent IoT-Based Drum Brake Temperature Monitoring System Maulana Yusuf Alkahfi; Raka Pratindy; M. Iman Nur Hakim; Nanang Okta Widiandaru
Journal of Vocational, Informatics and Computer Education Vol 4, No 1 (2026): March 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.601

Purpose – This study addresses brake system failures in heavy vehicles caused by excessive thermal buildup in drum brakes. Existing monitoring systems rely on single-parameter sensing and lack early warning capabilities, thereby increasing the risk of brake fade and accidents. This study aims to develop a real-time monitoring system to improve safety. Methods: A Research and Development (R&D) approach was applied, including system design, implementation, and testing. The proposed system integrates a Raspberry Pi 4 Model B, Type K thermocouple, ESP32-C3 Super Mini, and GPS NEO-6M module. The data were transmitted via the Thingspeak IoT platform and displayed on a 7-inch TFT touchscreen. Experimental validation includes thermocouple calibration, GPS speed testing, and IoT latency measurement Findings – The thermocouple achieved a mean absolute error of 7.2°C and a percentage error of 3.4% (96.6% accuracy). The GPS speed measurement showed a 2.6% error (97.4% accuracy). IoT latency ranged from 1.2–2.0 s, with 100% data transmission success. The system reliably triggered alerts when the temperature exceeded 360°C, confirming effective real-time monitoring. Research implications: Limitations include dependence on Internet connectivity, environmental effects on sensors, and scalability challenges. Future work should focus on improving robustness and integrating predictive features. Originality – The developed system demonstrates reliable performance at the prototype level. However, the validation was conducted under controlled conditions using a single sensor and without vehicle load. Therefore, further validation under varying load conditions, road gradients, and multipoint brake measurements is required before practical large-scale deployment.

Study Komparatif Penambahan Zat Aditif Alami Dan Kimia Sintetis Pada Pertamax dalam Mengurangi Emisi Gas Buang Kendaraan Bermotor Nanang Okta Widiandaru; Arif Novianto; Rifkqi Jinan Albadi
Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Vol. 13 No. 1 (2026): JURNAL KESELAMATAN TRANSPORTASI JALAN (INDONESIAN JOURNAL OF ROAD SAFETY)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46447/ktj.v13i1.786

The emergence of Pertamax Green 95 in 2023, with the specification of a bioethanol blend in Pertamax resulting in an octane value of 95, is expected to be a better fuel than Pertamax in terms of vehicle performance and lower exhaust emissions. To confirm this hypothesis, research is needed to determine the comparison of using Pertamax, Pertamax Green (Pertamax mixed with bioethanol/natural additive), and a mixture of Pertamax with an octane booster/synthetic chemical additive on exhaust emissions. The researchers will use the experimental method for this study. The purpose of experimental research is to determine the results of a study due to several treatments or actions taken by the researchers. The research object uses carburetor and EFI cars with Pertamax, Pertamax Green 95, and a mixture of Pertamax and Octane Booster as fuel. The comparison of using Pertamax, Pertamax Green 95, and a mixture of Pertamax with Octane Booster shows significant differences in emissions, which also vary for each vehicle. The lowest emission content in carbureted vehicles was found in Pertamax Green 95 fuel, with an average CO content of 8.76% and an average HC content of 3347.78 ppm. Meanwhile, the lowest emissions in EFI vehicles were also found with Pertamax Green fuel, with an average CO and HC emission content of 0.013% and 5.06 ppm, respectively. Statistical testing was conducted using the Kruskal-Wallis test on the three fuels, yielding significance values (Asymp. Sig.) for CO levels of 0.02 for the carburetor and <0.001 for the EFI, while HC levels were <0.001 for both the carburetor and the EFI. It was concluded that there are significant differences between the three fuel groups in the exhaust gas emission test results.

Study Komparatif Penambahan Zat Aditif Alami Dan Kimia Sintetis Pada Pertamax dalam Mengurangi Emisi Gas Buang Kendaraan Bermotor Nanang Okta Widiandaru; Arif Novianto; Rifkqi Jinan Albadi
Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Vol. 13 No. 1 (2026): JURNAL KESELAMATAN TRANSPORTASI JALAN (INDONESIAN JOURNAL OF ROAD SAFETY)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46447/ktj.v13i1.786

The emergence of Pertamax Green 95 in 2023, with the specification of a bioethanol blend in Pertamax resulting in an octane value of 95, is expected to be a better fuel than Pertamax in terms of vehicle performance and lower exhaust emissions. To confirm this hypothesis, research is needed to determine the comparison of using Pertamax, Pertamax Green (Pertamax mixed with bioethanol/natural additive), and a mixture of Pertamax with an octane booster/synthetic chemical additive on exhaust emissions. The researchers will use the experimental method for this study. The purpose of experimental research is to determine the results of a study due to several treatments or actions taken by the researchers. The research object uses carburetor and EFI cars with Pertamax, Pertamax Green 95, and a mixture of Pertamax and Octane Booster as fuel. The comparison of using Pertamax, Pertamax Green 95, and a mixture of Pertamax with Octane Booster shows significant differences in emissions, which also vary for each vehicle. The lowest emission content in carbureted vehicles was found in Pertamax Green 95 fuel, with an average CO content of 8.76% and an average HC content of 3347.78 ppm. Meanwhile, the lowest emissions in EFI vehicles were also found with Pertamax Green fuel, with an average CO and HC emission content of 0.013% and 5.06 ppm, respectively. Statistical testing was conducted using the Kruskal-Wallis test on the three fuels, yielding significance values (Asymp. Sig.) for CO levels of 0.02 for the carburetor and <0.001 for the EFI, while HC levels were <0.001 for both the carburetor and the EFI. It was concluded that there are significant differences between the three fuel groups in the exhaust gas emission test results.

Analisis Risiko Keselamatan Operasional Bus Trans Jogja Menggunakan Integrasi FMEA dan Root Cause Analysis Sandy Indra Kapotha; Siti Shofiah; Rifano; Nanang Okta Widiandaru
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 5 No. 3 (2026): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v5i3.1834

Penelitian ini mengkaji risiko keselamatan operasional layanan Trans Jogja yang dikelola oleh PT AMYGY di Daerah Istimewa Yogyakarta. Pendekatan yang digunakan adalah integrasi terstruktur antara Failure Mode and Effects Analysis (FMEA) dan Root Cause Analysis (RCA) yang diterapkan pada tiga variabel analisis: pengemudi, kendaraan, dan lingkungan operasional. Data dikumpulkan melalui kuesioner sensus terhadap 124 pengemudi, inspeksi fisik terhadap 62 kendaraan, dan observasi lapangan pada 11 rute. Hasil analisis mengidentifikasi dua belas modus kegagalan; empat di antaranya diklasifikasikan berisiko tinggi dengan RPN ≥ 200. Nilai RPN tertinggi tercatat pada pemeliharaan oleh mekanik tidak bersertifikat (RPN = 252), rambu lalu lintas hilang atau terhalang di lima rute (RPN = 240), serta kelelahan pengemudi akibat jam kerja berlebih (RPN = 216). Analisis akar penyebab menunjukkan bahwa kelemahan aspek manajemen — khususnya lemahnya pengawasan, ketidakcukupan kebijakan, dan terbatasnya koordinasi antarlembaga — menjadi akar penyebab dominan di ketiga domain variabel. Temuan ini mengindikasikan bahwa peningkatan keselamatan memerlukan reformasi manajemen yang sistemik, bukan sekadar intervensi teknis individual

Stereo Camera-Based Motor Vehicle Dimension Measurement with Luxmeter-Based Light Intensity Detection Ageng Sudarma; Muhammad Iman Nur Hakim; Nurul Fitriani; Siti Shofiah; Nanang Okta Widiandaru
Building of Informatics, Technology and Science (BITS) Vol 8 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v8i1.10012

Over Dimension and Over Loading (ODOL) vehicles require accurate and efficient dimension inspection systems to support transportation safety and regulatory compliance. This study proposes an automatic motor vehicle dimension measurement system based on stereo vision integrated with YOLOv8 object detection and luxmeter-based illumination monitoring. The system was developed using a Research and Development (R&D) approach involving stereo camera calibration, hardware-software integration, experimental testing, and validation against manual measurements. Two Logitech C270 USB cameras with a fixed 50 cm baseline were calibrated using a 9 × 6 checkerboard pattern and processed using OpenCV and Python. Vehicle and wheel objects were detected using YOLOv8 models with stereo disparity estimation performed using Semi-Global Block Matching (SGBM) and triangulation methods to calculate Overall Length (OAL), Front Overhang (FOH), Wheelbase (WB), Rear Overhang (ROH), and Overall Height (OAH). Environmental lighting conditions were monitored using a luxmeter under illumination ranges of 5,000-100,000 lux. Experimental results showed a stereo calibration success rate of 96% from 100 stereo image pairs. The developed system achieved average measurement accuracies of 98.58%, 98.92%, and 98.89% at testing distances of 7 m, 8 m, and 9 m, respectively, while the highest accuracy of 99.44% was obtained at the T_8M_LC configuration under stable illumination conditions. Operational efficiency analysis showed that the automatic measurement process, including image acquisition and computational processing, reduced total measurement time from 187 seconds in manual measurements to 5 seconds in the automated system, corresponding to an efficiency improvement of 97.32%. The results show that the proposed stereo vision system provides accurate, efficient, and lighting-robust vehicle dimension measurements suitable for automated motor vehicle inspection applications.

The Smart Battery Safety and Anti-Theft Monitoring System for Electric Bicycles with Automatic Cut-Off and Dual-Channel Notification Andhika Putra Perdana; Mokhammad Rifqi Tsani; Helmi Wibowo; Nanang Okta Widiandaru
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.685

The rapid growth of electric bicycle usage in Indonesia has been accompanied by rising safety incidents, particularly those related to battery thermal runaway and theft. This research presents the design and implementation of an integrated monitoring and security system for electric bicycles using the ESP32 microcontroller, PZEM-017, DS18B20, and Neo-6M GPS module, combined with a web-based dashboard and Telegram bot notification. The system was developed using the Research and Development (R&D) method with a four-parameter monitoring scheme covering voltage, current, temperature, and geospatial coordinates. Experimental results from twenty data points per sensor demonstrated excellent accuracy: DS18B20 achieved an average error of 1.133%, PZEM-017 achieved 1.224% for voltage and 1.787% for current, while the Neo-6M module achieved 0.000575% and 0.000042% for latitude and longitude respectively. The automatic cut-off mechanism successfully operated in all six tested scenarios, and the Telegram-website integration delivered notifications with an average delay of two seconds. These findings confirm that the proposed system improves safety and security of electric bicycles through real-time multi-parameter monitoring and remote intervention capability. Unlike prior systems that address monitoring or security in isolation, this work is the first to unify real-time multi-parameter battery protection, automatic cut-off, geofencing, and dual-channel notification within a single low-cost ESP32-based platform tailored for urban electric bicycle users in Indonesia. The practical relevance of this integration is particularly significant given the accelerating adoption of electric bicycles as primary short-distance transportation in densely populated Indonesian cities, where charging-related fire incidents and theft cases have reached critical levels.

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