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Journal : Automotive Experiences

Pengembangan Sirkuit Security System untuk Meningkatkan Driver Behaviour Control pada Kendaraan Hanif Fahrian; Suroto Munahar; Dwi Sudarno Putra
Automotive Experiences Vol 1 No 01 (2018)
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 | Full PDF (1555.849 KB) | DOI: 10.31603/ae.v1i01.2018

Abstract

Salah satu penyebab kecelakaan jalan raya adalah cara mengemudi yang tidak tepat, misalnya melebihi kecepatan maksimal yang diijinkan. Ketika kendaraan terjadi kecelakaan dapat menimbulkan ledakan yang sangat besar, seperti yang terjadi pada kasus mobil tangki pengangkut bahan bakar. Melihat permasalahan ini perlu solusi untuk memonitor cara mengemudi (driver behaviour). Metode yang diterapkan dengan aplikasi Electronic Control Unit (ECU) security system. Sistem ini dihubungkan dengan inputan Vehicle Speed Sensor (VSS) yang dibangkitkan oleh transmisi dan Thorttle Position Sensor (TPS) dibangkitkan oleh katup throttle valve. Sebuah microcontoller dan GPRS shield digunakan untuk mengirimkan pesan pada pemilik dan pengemudi kendaraan. Hasil yang diperoleh, saat kendaraan berjalan di atas kecepatan 60 km/jam, sistem dapat mengirimkan informasi tanda bahaya melalui sms ke ponsel pemilik kendaraan dan pengemudi.
Design and Application of Electronic Tracking Control Systems (ETCS) to Improve Vehicle Safety Roni Muhammad Susanto; Taufik Nurrochman; Suroto Munahar; Anwar Ilmar Ramadhan
Automotive Experiences Vol 2 No 3 (2019)
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 | Full PDF (959.737 KB) | DOI: 10.31603/ae.v2i3.2766

Abstract

Fuel and chemical cargo are essential tools for national security. There is the potential for fire and environmental pollution when occurring an accident such as a collision or overturning. On the other hand, cases of cargo theft are also reported frequently. Currently, preventive efforts are carried out by attaching warnings to the vehicle body with stickers, but it is a passive method. Therefore, this article presents a design and application for monitoring vehicles in real-time with Electronic Tracking Control Systems (ETCS). If the vehicle speed is more than 60 km/hour, ETCS will send an SMS to the vehicle owner about the speed and location of the vehicle being monitored. With ETCS, vehicle accidents and misuse can be minimized by quick monitoring and communication between the owner and the driver.
Fuel Control System on CNG Fueled Vehicles using Machine Learning: A Case Study on the Downhill Suroto Munahar; Muji Setiyo; Ray Adhan Brieghtera; Madihah Mohd Saudi; Azuan Ahmad; Dori Yuvenda
Automotive Experiences Vol 6 No 1 (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.8107

Abstract

Compressed Natural Gas (CNG) is an affordable fuel with a higher octane number. However, older CNG kits without electronic controls have the potential to supply more fuel when driving downhill due to the vacuum in the intake manifold. Therefore, this article presents a development of a CNG control system that accommodates road inclination angles to improve fuel efficiency. Machine learning is involved in this work to process engine speed, throttle valve position, and road slope angle. The control system is designed to ensure reduced fuel consumption when the vehicle is operating downhill. The results showed that the control system increases fuel consumption by 25.7% when driving downhill which an inclination of 5ᵒ. The AFR increased from 17.5 to 22 and the CNG flow rate decreased from 17.7 liters/min to 13.8 liters/min which is promising for applying to CNG vehicles.