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All Journal International Journal of Evaluation and Research in Education (IJERE) Transmisi: Jurnal Ilmiah Teknik Elektro GEMA TEKNOLOGI Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika INVOTEK: Jurnal Inovasi Vokasional dan Teknologi JTERA (Jurnal Teknologi Rekayasa) Prosiding Seminar Nasional Teknoka Techne : Jurnal Ilmiah Elektroteknika Indonesian Journal of Electrical Engineering and Computer Science JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Industrial Research Workshop and National Seminar Jurnal Rekayasa elektrika
Noor Cholis Basjaruddin
Politeknik Negeri Bandung
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation Other

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Hardware Simulation of Rear-End Collision Avoidance System Based on Fuzzy Logic Noor Cholis Basjaruddin; Didin Saefudin; Anggun Pancawati
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1163.943 KB) | DOI: 10.17529/jre.v16i1.15107

Abstract

Rear-end collisions are the most common type of traffc accident. On the highway, a real-end collision may involve more than two vehicles and cause a pile-up or chain-reaction crash. Referring to data released by the Australian Capital Territory (ACT), rear-end  collisions which occurred throughout 2010 constituted as much as 43.65% of all collisions. In most cases, these rear-end collisions are caused by inattentive drivers, adverse road conditions and poor following distance. The Rear-end Collision Avoidance System (RCAS) is a device to help drivers to avoid rear-end collisions. The RCAS is a subsystem of Advanced Driver Assistance Systems (ADASs) and became an important part of the driverless car. This paper discusses a hardware simulation of a RCAS based on fuzzy logic using a remote control car. The Mamdani method was used as a fuzzy inference system and realized by using the Arduiono Uno microcontroller system. Simulation results showed that the fuzzy logic algorithm of RCAS can work as designed.
Sistem Penghindar Tabrakan Frontal Berbasis Logika Fuzzy Noor Cholis Basjaruddin; Kuspriyanto; Didin Saefudin; Ganda Putra
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 3: Agustus 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1153.069 KB)

Abstract

About 10% of collisions resulting in death is due to frontal collision. Head-on Collision Avoidance System (HCAS) is a device that can prevent a frontal collision by means of braking or evasive. Two ultrasonic sensors are used to monitor the vehicles in front and to the right. Two distances are observed by sensors, then become input for decision making system based on fuzzy logic. This decision-making system output is the vehicle forward, stop, or evasive movement. Simulation result using a remote control car proves that the decision making system designed with fuzzy logic can work with a success rate of over 90%.
Adaptive Light Control Berbasis Kendali Fuzzy Noor Cholis Basjaruddin; Didin Saefudin; Richar Fredian; Kuspriyanto Kuspriyanto
Jurnal Rekayasa Elektrika Vol 14, No 2 (2018)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v14i2.10996

Abstract

Standard headlights will shine with a fixed intensity even though the environmental light changes. High-intensity lights sometimes make other drivers glare and potentially cause accidents. Adaptive Light Control (ALC) is a car headlights control system that can automatically adjust the intensity of the lamp according to the intensity of the light environment. In this research, we developed ALC which was able to regulate the intensity of the lamp according to the intensity of the environmental light including the light of the car in front. Light settings are performed using a fuzzy control system by utilising environmental light intensity and the distance of the car to the object as input. The developed ALC system was tested on remote control cars equipped with sensors and microcontrollers. The intensity of headlight begins to fade on the distance of the car to the object of 92 cm for objects in front of, 108 cm for objects on the left, and 22 cm for objects on the right.
Hardware Simulation of Rear-End Collision Avoidance System Based on Fuzzy Logic Noor Cholis Basjaruddin; Didin Saefudin; Anggun Pancawati
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v16i1.15107

Abstract

Rear-end collisions are the most common type of traffc accident. On the highway, a real-end collision may involve more than two vehicles and cause a pile-up or chain-reaction crash. Referring to data released by the Australian Capital Territory (ACT), rear-end  collisions which occurred throughout 2010 constituted as much as 43.65% of all collisions. In most cases, these rear-end collisions are caused by inattentive drivers, adverse road conditions and poor following distance. The Rear-end Collision Avoidance System (RCAS) is a device to help drivers to avoid rear-end collisions. The RCAS is a subsystem of Advanced Driver Assistance Systems (ADASs) and became an important part of the driverless car. This paper discusses a hardware simulation of a RCAS based on fuzzy logic using a remote control car. The Mamdani method was used as a fuzzy inference system and realized by using the Arduiono Uno microcontroller system. Simulation results showed that the fuzzy logic algorithm of RCAS can work as designed.
Perancangan simulator lift 3 lantai menggunakan diagram keadaan Rakhman, Edi; Bagenda, Dadan Nurdin; Basjaruddin, Noor Cholis
JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Vol. 4 No. 1: March 2024
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/jitel.v4.i1.2024.73-82

Abstract

Lift telah lama digunakan pada berbagai gedung bertingkat. Kelebihan lift dibandingkan dengan tangga dan eskalator adalah penggunaan ruang yang lebih efisien dan dapat digunakan oleh pengguna dengan berbagai kondisi fisik. Berbeda dengan lift, tangga dan eskalator tidak disarankan digunakan oleh pengguna kursi roda karena tidak nyaman dan berbahaya. Selain itu lift juga lebih tepat untuk mengangkut barang antar lantai dibanding tangga atau eskalator. Pengembangan lift dengan jumlah jangkauan lantai yang semakin banyak memerlukan metode dalam tahap perancangan terutama pada pengambilan keputusan ketika lift menerima permintaan dari pengguna. Pada penelitian ini, digunakan diagram keadaan dalam perancangan lift 3 lantai. Melalui diagram keadaan yang dilanjutkan dengan pembuatan ladder diagram, rancangan tersebut selanjutnya diimplementasikan menggunakan miniatur lift 4 lantai yang dikendalikan oleh programmable logic controller (PLC). Hasil pengujian rancangan pengendalian lift 3 lantai menggunakan diagram keadaan menunjukkan bahwa permintaan pengguna lift dapat dilayani dengan baik dan lift bekerja sesuai dengan rancangan.
Hardware simulation of cooperative adaptive cruise control based on fuzzy logic Edi Rakhman; Noor Cholis Basjaruddin; Didin Saefudin; Rizky Hartono; Rachmad Imbang Tritjahjono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 2: April 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i2.27466

Abstract

Cooperative adaptive cruise control (CACC) is a system designed to maintain a vehicle’s distance according to the driver’s preset value. It is an advancement of adaptive cruise control (ACC), which suffers from response delays when reacting to changes in the leading vehicle’s speed. CACC addresses this limitation by reducing response delay through the use of speed data from the preceding vehicle, obtained via wireless communication. In this research, the CACC system was simulated using a 1:10 scale remote-control (RC) car equipped with ultrasonic sensors and radio frequency (RF) communication. Speed control was implemented using a fuzzy logic controller with the Mamdani inference method, while an active steering assistance system was added to maintain lane alignment. Hardware simulation results demonstrate that the CACC system functions effectively and significantly improves the response time of the following vehicle when the leading vehicle changes speed. Experimental results show that the CACC maintained the desired following distance in 10 seconds, compared to 15 seconds for the ACC system.
Co-Authors Agi Muhammad Ramdani Aldi Lugina Alditama Rachman Anggun Pancawati Arif Rahman Arif Rahman Azis, Virna Apriani Bagenda, Dadan Nurdin Bisma Ferriand Bulan Fatimah Rahmat Danang Aji Pangestu Darwati, Endang Didin Saefudin Didin Saefudin Didin Saefudin Diki Nurul Fajrin Dimas Mulya Putra Dinda Fatihana Dwi Intan Chairunnisa Edi Rakhman Edi Rakhman Edi Rakhman Edi Rakhman Ediana Sutjiredzeki Elisa Hariyanti FENI ISDARYANI Ganda Putra Gumelar Tambunan Hanni Novitasari Tandiari Haura Fikriyah Hakimah Herlan Sutisna, Herlan Irfan Maulana Shidik Ivan Yuda Prasetya KUSPRIYANTO Kuspriyanto Kuspriyanto Mikhael Bagus Renardi Mochammad Rizky Lazuardi Muhammad Nauval Shidiq Muhammad Rafqi Azharfianto Putra, Ganda Rachmad Imbang Trittjahjono Rangga Vega Regi Adriana Saputra Richar Fredian Riko Hadiarto Rizky Hartono Sabar Pramono Suhendar Suhendar Suhendar Suhendar, Suhendar Supriyadi Supriyadi Supriyadi Supriyadi Supriyadi Supriyadi Suyanto Suyanto Suyanto Suyanto Virna Apriani Azis Vito Eka Pramudhita Susanto Yehezkiel Hansel Hendratno Yoga Priyana Yoshiadi Wicaksono Yusup Mulkan