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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) JTERA (Jurnal Teknologi Rekayasa) Martabe : Jurnal Pengabdian Kepada Masyarakat ABDIMAS SILIWANGI Journal of Information Technology and Computer Engineering Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal GERVASI: Jurnal Pengabdian kepada Masyarakat Infotekmesin Journal of Applied Electrical Engineering Journal of Energy and Electrical Engineering (JEEE) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat E-JOINT (Electronica and Electrical Journal Of Innovation Technology) JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) EPSILON: Journal of Electrical Engineering and Information Technology Electrician : Jurnal Rekayasa dan Teknologi Elektro International Journal of Advanced Science Computing and Engineering Jurnal Pengabdian Mitra Masyarakat Jurnal Teknokes
Andri Ulus Rahayu
Universitas Siliwangi
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Journal : Journal of Information Technology and Computer Engineering

 1 
Sistem Monitoring Perilaku Pengendara Mobil Berbasis Internet of Things Andri Ulus Rahayu
JITCE (Journal of Information Technology and Computer Engineering) Vol 5 No 01 (2021): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.01.18-24.2021

Abstract

This research is created as a system for a car rental service. The system has monitoring features allowing the car rental owner to monitor the engine condition. The monitoring is performed by using a web interface that could read data from OBD-II that sent by raspberry pi 2. The owner can also monitor the position of the car by using coordinates sent from a smartphone by utilizing the GPS feature. In addition, it also has a reporting feature that allows the owner to track the data history from OBD II about the engine rpm, speed, engine load & temperature. Moreover, the owners can identify the route that has been passed by their car. Likewise, this system provides a program that analyzes the car driver's behavior based on the determined rules. The analysis was conducted based on all data from OBD-II in the database server and all data of driving rules violation performed by the driver. The result is an assessment of the driver as a driving error rate. This study generated 173 data of which 9 were driving rules violations with a 5.20% driving error rate. The report can be obtained by selecting the time interval. It also downloadable and can be sent by e-mail.
Sistem Monitoring Perilaku Pengendara Mobil Berbasis Internet of Things Rahayu, Andri Ulus
JITCE (Journal of Information Technology and Computer Engineering) Vol. 5 No. 01 (2021)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.5.01.18-24.2021

Abstract

This research is created as a system for a car rental service. The system has monitoring features allowing the car rental owner to monitor the engine condition. The monitoring is performed by using a web interface that could read data from OBD-II that sent by raspberry pi 2. The owner can also monitor the position of the car by using coordinates sent from a smartphone by utilizing the GPS feature. In addition, it also has a reporting feature that allows the owner to track the data history from OBD II about the engine rpm, speed, engine load & temperature. Moreover, the owners can identify the route that has been passed by their car. Likewise, this system provides a program that analyzes the car driver's behavior based on the determined rules. The analysis was conducted based on all data from OBD-II in the database server and all data of driving rules violation performed by the driver. The result is an assessment of the driver as a driving error rate. This study generated 173 data of which 9 were driving rules violations with a 5.20% driving error rate. The report can be obtained by selecting the time interval. It also downloadable and can be sent by e-mail.
Co-Authors Abd Rahman Abdul Chobir Adzikri, Fikri Agustini Rodiah Machdi Annashr, Nissa Noor Arie Gustaman, Rian Aris Risnandar, Muhammad Asep andang Asep Andang, Asep Azis Muhajar Chobir, Abdul Daniel Happy Putra Edvin Priatna Enov Tikupasang Ervan Paryono Faisal Candrasyah Hasibuan Faridah, Linda firmansyah maualana sugiartana nursuwars Firmansyah MSN Fittur Farabi Sanaz Hamdani, Yuda Muhammad Ifkar Ushar Ifkar Usrah Imam Taufiqurrahman Imam Taufiqurrahman Imam Taufiqurrahman Kiki Korneliani Kiki Korneliani Moch Yuagga Permana Mochammad Fadillah Putra Muhammad Aris Risnandar Muhammad Aris Risnandar Muhammad Faiz Dzaki Chanafi Mutiarasari, Nurul Risti Nadya Aprilia Nadya Aprilia Naim, Nidar Nadrotan Nundang Busaeri Nundang Busaeri Nurdiansyah, Rian Nursuwars, Firmansyah Maulana Nurul Hiron Nurul Hiron, Nurul Paryono, Ervan Permana, Prama Ramdani R Rian Nurdiansyah Risnandar, M Aris Risnandar, Muhammad Aris Shopa, Rahmi Nur Stheven Erlangga Sanjaya Sulastri, Heni Sutisna Tejaleksono, Gunawan Usrah, Ifkar Visi Tinta Manik Wisnu, Iqbal Fawzi