Pemberdayaan Guru Sekolah Mengenai Keselamatan Berlalu Lintas

Empowering School Teachers Regarding Traffic Safety

Authors

DOI:

https://doi.org/10.33084/pengabdianmu.v9i7.6876

Keywords:

Empowerment, Traffic, School teachers

Abstract

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.

Downloads

Download data is not yet available.

References

Hamadeh, N., Karouni, A., & Farhat, Z. (2022). Intelligent transportation systems to mitigate road traffic congestion. Intelligenza Artificiale, 15(2), 91–104. https://doi.org/10.3233/IA-200079

Hidayati, T. S., Siswanto, J., Hadi, S., & Ayu, B. P. S. B. R. (2023). Penyuluhan Pendidikan Keselamatan Jalansiswa Sekolah Menengah Kejuruan. INTEGRITAS : Jurnal Pengabdian, 7(1), 208–220

Jin, X., Zheng, J., & Geng, X. (2020). Prediction of Road Traffic Accidents Based on Grey System Theory and Grey Markov Model. International Journal of Safety and Security Engineering, 10(2), 263–268. https://doi.org/10.18280/ijsse.100214

Kushchenko, L. E., Kushchenko, S. V., Kravchenko, A. A., & Shatova, J. S. (2020). Improving traffic safety and accident prediction at pedestrian crossings. IOP Conference Series: Materials Science and Engineering, 913(4), 042060. https://doi.org/10.1088/1757-899X/913/4/042060

Liu, B., Mehrara Molan, A., Pande, A., Howard, J., Alexander, S., & Luo, Z. (2021). Microscopic Traffic Simulation as a Decision Support System for Road Diet and Tactical Urbanism Strategies. Sustainability, 13(14), 8076. https://doi.org/10.3390/su13148076

Oskarbski, J., Kamiński, T., Kyamakya, K., Chedjou, J. C., Żarski, K., & Pędzierska, M. (2020). Assessment of the Speed Management Impact on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Methods. Sensors, 20(18), 5057. https://doi.org/10.3390/s20185057

Ozali, I., & Saribanon, E. (2021). Evaluation of the Implementation of Traffic and Road Transportation Safety Supervision in the Infrastructure Sector. Eduvest - Journal of Universal Studies, 1(10). https://doi.org/10.36418/edv.v1i10.225

Peera, K. M., Shekhawat, R. S., & Prasad, C. (2019). Traffic Analysis Zone Level Road Traffic Accident Prediction Models Based On Land Use Characteristics. International Journal For Traffic And Transport Engineering, 9(4). https://doi.org/10.7708/ijtte.2019.9(4).03

Shofiah, S., Fitriani, N., Iman Nur Hakim, M., Prima, A. F., Yoga, M. S., Nadhifah, S. M., & Keselamatan Transportasi Jalan, P. (2023). Road Safety Go To School Sebagai Upaya Peningkatan Kesadaran Berlalu Lintas. Community Development Journal, 4(2).

Siswanto, J., Hadi, S., Prasetyo, R. D., & Ikapraja, B. (2024). Road Transportation Safety Through Community Empowerment. Abdimas: Jurnal Pengabdian Kepada Masyarakat, 7(1), 230–238. https://doi.org/10.35568/abdimas.v7i1.4388

Siswanto, J., Hidayati, T. S., Hadi, S., & Ayu, B. P. S. B. R. (2023). Penyuluhan Keselamatan Berlalu Lintas Pada SMK Negeri 2 Subang. Abdimas Galuh, 5(1). https://doi.org/10.25157/ag.v5i1.10002

Xie, G., Shangguan, A., Fei, R., Hei, X., Ji, W., & Qian, F. (2021). Unmanned System Safety Decision-Making Support: Analysis and Assessment of Road Traffic Accidents. IEEE/ASME Transactions on Mechatronics, 26(2), 633–644. https://doi.org/10.1109/TMECH.2020.3043471

Xiong, H., Shen, Y., & Fu, L. (2021). Traffic safety evaluation and accident prediction of freeway: Evidence from China. Tehnicki Vjesnik, 28(6). https://doi.org/10.17559/TV-20210504115608

Yuan, Y., Yi, A., Wang, Y., & Chen, X. (2021). Research on technical model and method of urban road traffic accident and traffic conflict based on artificial intelligence. 2021 International Conference on Aviation Safety and Information Technology, 885–889. New York, NY, USA: ACM. https://doi.org/10.1145/3510858.3511416

Zhang, Z., Chen, K., Zhao, Y., Chang, C., & Zhao, Y. (2021). Factors Influencing Traffic Safety and an Accident Prediction Model of Expressway Interchange Exits. CICTP 2021: Advanced Transportation, Enhanced Connection - Proceedings of the 21st COTA International Conference of Transportation Professionals. https://doi.org/10.1061/9780784483565.122

Downloads

Published

2024-07-23

How to Cite

Siswanto, J., Apriyanto, R., Tohom, F., Widiandaru, N. O., Fahmadi, A. E., & Ikapraja, B. (2024). Pemberdayaan Guru Sekolah Mengenai Keselamatan Berlalu Lintas: Empowering School Teachers Regarding Traffic Safety. PengabdianMu: Jurnal Ilmiah Pengabdian Kepada Masyarakat, 9(7), 1253–1261. https://doi.org/10.33084/pengabdianmu.v9i7.6876