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Batas Aman Muatan Sumbu Roda Dan Temperatur Tromol Ditinjau Dari Ambang Batas Efisiensi Rem Mobil Pick Up Futura Wijayanta, Setya; Sutarjo, Sutarjo; Shafa AF, Nadziba; Pambudi, Kurniawan
Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Vol. 6 No. 2 (2019): 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 | Full PDF (582.114 KB) | DOI: 10.46447/ktj.v6i2.36

Abstract

Kegagalan pengereman (rem blong) sering menjadi penyebab kecelakaan. Kelebihan muatan(Over loading) dan Temperatur tromol yang berlebihan (Over heating) sering diduga menjadipenyebab terjadinya kegagalan pengereman. Penelitian ini dibatasi pada pengaruh muatansumbu roda dan temperatur tromol terhadap efisiensi rem mobil pick up futura. Metode yangdigunakan adalah eksperimen dengan variasi kanvas original dan tiruan.Dari penelitian ini diperoleh hasil bahwa tinggi rendahnya muatan sumbu roda dan temperaturtromol berpengaruh signifikan terhadap efisiensi pengereman. Semakin tinggi muatan sumburoda dan temperatur tromol, maka semakin kecil efisiensi pengeremannya. Rumus empirishubungan antara muatan sumbu roda dengan efisiensi rem adalah y = -0,0003 x + 0,7891dengan R2 = 0,9737. Dari rumus empiris tersebut diperoleh nilai muatan kritis sumbu roda (x)963,67 Kg. Rumus empiris hubungan antara temperatur tromol dengan efisiensi rem adalah y =-0,0034 x + 0,8516 dengan R2 = 0,9041. Dari rumus empiris tersebut diperoleh nilai temperaturkritis luar tromol (x) 103,410 C. Ditinjau dari efisiensi rem yang dihasilkan dengan variasi muatansumbu roda dan temperatur tromol serta kecepatan kenaikan temperatur tromol, maka kanvasoriginal lebih baik dibandingkan kanvas tiruan (KW).
PENGARUH TEGANGAN PERMUKAAN PADA TEBAL FILM CAIRAN DAN KARAKTERISTIK GELOMBANG ANTARMUKA ALIRAN DUA FASE STRATIFIED HORIZONTAL Ari Prasetyo; Setya Wijayanta; Indarto Indarto; Deendarlianto Deendarlianto
Jurnal Rekayasa Mesin Vol. 13 No. 3 (2022)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v13i3.1212

Abstract

This experimental study aims to examine the effect of the surface tension on the characteristics of unidirectional air-liquid interface waves on a horizontal pipe. The pipe used is an acrylic pipe with a diameter of 26 mm. To vary the surface tension, the working fluid consisted of 100% water and water mixed with 2% and 5% butanol. with surface tension (σ) values ​​of 72, 58, and 42.5 mN/m, respectively. The wave characteristics studied in this research include the interface wave structure which is analyzed from visual observations and parameters by image processing. The superficial velocities of gas and liquid were varied in the range of 4-16 m/s and 0.02-0.1 m/s, respectively. Wave velocity and frequency were determined by using cross-correlation and power spectra density (PSD) from time-series data of liquid film thickness. Generally, velocity increases as the gas superficial velocity and surface tension decrease, the high gas superficial velocity the dominant frequency is high.
PENGARUH KADAR AIR DI DALAM BRAKE FLUID TERHADAP KARAKTERISTIK GELEMBUNG PADA PROSES PEMANASAN BRAKE FLUID Wijayanta, Setya; Humami, Faris; Wibowo, Helmi; Kristiawan, Komang Andre; Lazuardi, Wildan Surya
Jurnal Rekayasa Mesin Vol. 15 No. 1 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i1.1705

Abstract

The present study aimed to determine the effect of the percentage of water in brake fluid on the boiling point and the characteristics of bubble formation (the beginning of vapor lock) during the brake fluid heating process. DOT 3 Brake Fluid and water were used as the working fluid in the present study. To vary the water content in the brake fluid, water was mixed into the DOT 3 Brake Fluid. The water percentages in the mixture were 0, 1, 3, and 4%. The boiling point of brake fluid with four variations in the water content percentage was measured by using a digital thermometer. The characteristics of bubble formation in brake fluid were observed using a video camera with a frame rate of 240 fps. The video recording results were extracted into an image file with a jpeg extension and processed further using image processing with ImageJ software to measure the total cross-sectional area and bubble fraction. This is the novelty of the present study, where measurements of the total cross-sectional area and bubble fraction in boiling brake fluid with variations in water content have never been carried out by researchers before. Apart from that, the ImageJ measurement method has advantages compared to other software. ImageJ is free software that is easy to download from the internet, easy to use, accurate and the measurement results are displayed immediately. The research results show that an increase in the percentage of the water content in brake fluid affects reducing the boiling point of the brake fluid. At the same temperature, the greater the percentage of water content in the brake fluid, the total cross-sectional area and bubble fraction also increase. At the same percentage of water content, the total cross-sectional area and bubble fraction also increase as the temperature increases. Apart from that, in this research, an empirical equation was successfully developed to predict the brake fluid's boiling point based on its water content, and an empirical equation to predict the bubble fraction based on the water content and temperature of the brake fluid. This is a novel result of this research that has never been produced in previous research.
Real-Time Intelligent IoT-Based Drum Brake Wear Monitoring System Dzaki Putra Prakosa; Setya Wijayanta
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 2 (2026): June 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i2.2609

Abstract

Purpose – This study aims to develop and evaluate a real-time IoT-based intelligent monitoring system for drum brake lining wear to overcome the limitations of conventional manual inspection, which is periodic, subjective, and prone to delayed detection of critical wear conditions. Design/methods/approach – The research adopts a Research and Development (R&D) methodology consisting of design, prototyping, and laboratory testing. The system integrates an ESP32 microcontroller with a VL53L0X time-of-flight sensor to measure brake lining thickness in real time. A rule-based classification algorithm is implemented to categorize brake conditions into SAFE, WARNING, and DANGER states. Experimental evaluation was conducted through 15 trials across a thickness range of 1.0–10.0 mm. Performance metrics include accuracy, mean absolute error (MAE), root mean square error (RMSE), and response time. Findings - The system achieved an average measurement accuracy of 96.0%, MAE of 0.13 mm, and RMSE of 0.15 mm. All samples were correctly classified, resulting in 100% classification accuracy across the three condition states. The system also recorded a mean response time of 1.27 seconds, indicating fast and reliable real-time performance under controlled conditions. Research implications/limitations – The system is feasible for low-cost brake wear monitoring, but validation is limited to laboratory conditions with a small dataset, and real-world factors were not examined. Originality/value – This study presents an integrated IoT-based drum brake monitoring framework combining ToF sensing, embedded rule-based intelligence, and mobile notification in a single low-cost system. It specifically addresses drum brake applications, which remain underexplored compared to disc brake monitoring systems, offering a practical solution for resource-constrained environments.
Comparative Study of Signalized Intersection Performance Analysis Methods Bobby Agung Hermawan; I Made Arka Hermawan; Anasta Wirawan; Edi Santosa; Veronica; Alfath Satria Negara Syaban; Setya Wijayanta
Jurnal Penelitian Sekolah Tinggi Transportasi Darat Vol 16 No 1 (2025): June 2025
Publisher : Politeknik Transportasi Darat Indonesia - STTD Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55511/jpsttd.v16i1.717

Abstract

At intersections, traffic performance indicators consist of saturation degree, queue length, and delay. There are several methods commonly used to calculate performance indicators at intersections, including the PKJI method (2023) and the RJ method. Salter (1981). Each method produces different performance values. Between the PKJI 2023 method and the RJ method, it is not yet known which method is most representative of field conditions, therefore it is necessary to identify which method produces performance that is most in accordance with real conditions in the field. There are several differences and similarities between the analysis of signalized intersections with the PKJI 2023 and RJ methods. Salter, namely the emp value between the PKJI 2023 method and the RJ Salter method, it can be seen that the PKJI 2023 method divides the emp into 2 (two), namely protected and opposed emp, while RJ Salter does not divide it. The magnitude of the emp value is also different for each type of vehicle, this is likely due to the characteristics of vehicle behavior and the geometry of the intersection. In addition, the saturation current formula between the two methods is different, but in the PKJI 2023 and RJ methods. Salter has a So variable (basic saturation current) in the formula. Calculation of cycle time analysis, green time, and approach capacity of the 2nd intersection method with the same approach. Calculation of traffic behavior in this case the queue length and traffic delay from the 2 methods are different. The results of the Mann-Whitney test between the median performance parameters from the survey results and PKJI 2023 show that there is a difference. While the test results between PKJI 2023 and RJ. Salter there is no difference.
Study of the Effect of Load Variation on Disc Temperature and Braking Efficiency ABS (Anti-lock Braking System) on Yamaha Aerox Matic Motorbike with Road Test Method Mochammad Rafli Sholehudin Randy; Setya Wijayanta
Jurnal Penelitian Sekolah Tinggi Transportasi Darat Vol 16 No 1 (2025): June 2025
Publisher : Politeknik Transportasi Darat Indonesia - STTD Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55511/jpsttd.v16i1.718

Abstract

This study aims to analyze the effect of load variation on braking efficiency and disc temperature in Yamaha Aerox automatic motorcycles equipped with an Anti-lock Braking System (ABS) using the roadtest method. The experimental research method was applied, with independent variables including load variations (65 kg, 85 kg, 130 kg, and 150 kg) and two ABS conditions (active and inactive). The dependent variables observed were braking distance, deceleration, braking efficiency, and disc temperature. The research findings indicate that at low speeds (40 km/h), the ABS system results in a longer braking distance compared to non-ABS conditions. However, at high speeds (50 km/h), ABS proves to be more effective in optimizing braking performance and preventing wheel lock, especially under heavier loads. The lowest average value in braking efficiency is obtained in the ABS ON 40 km/h treatment with a load of 150 kg, the result is 51%. while the highest average value of efficiency is obtained in the ABS ON 50 km/h treatment with a load of 65 kg, the result is 92%. Additionally, load variation significantly affects the increase in disc temperature, with heavier loads leading to higher disc temperatures after braking. The lowest average for disc temperature was obtained in the ABS ON 40 km/h treatment with a load of 65 kg, the value is 37.16 degrees Celsius. while the highest average value of disc temperature was obtained in the ABS OFF 50 km/h treatment with a load of 150 kg with an average value of 73.1 degrees Celsius. This study provides valuable insights into the effectiveness of ABS in enhancing road safety and highlights the importance of regulatory considerations regarding the implementation of ABS in motorcycles in Indonesia.
Comparative Analysis of CBS and Non-CBS Brake Efficiency with Variations in Load and Road Pavement Construction Anugrah Fauzandy; Setya Wijayanta
Jurnal Penelitian Sekolah Tinggi Transportasi Darat Vol 16 No 1 (2025): June 2025
Publisher : Politeknik Transportasi Darat Indonesia - STTD Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55511/jpsttd.v16i1.719

Abstract

The development of transportation, especially the use of motorcycles has contributed significantly to increasing community mobility. However, along with the increasing number of vehicles, the risk of traffic accidents has also increased. One of the main factors causing accidents is the failure of the braking system, which most often occurs in two-wheeled vehicles. Automatic motorcycles, which generally still use conventional braking systems, have a higher level of vulnerability to brake failure compared to other types of vehicles. The ease of use of automatic motorcycles makes this vehicle the main choice for people in their daily activities. One of the braking system technologies developed by motorcycle manufacturers in Indonesia is the Combi Brake System (CBS), which aims to improve the safety of motorcycle riders. This study aims to analyze the comparison of braking efficiency between the CBS and Non-CBS systems by considering variations in load and type of road pavement construction. The research method uses an experimental approach with the road brake test method at speeds of 40 km/h and 60 km/h. The test results showed that the highest brake efficiency of 56.76% occurred on asphalt roads with active CBS brakes and a load of 65 kg at a speed of 60 km/h, while the lowest efficiency of 23.28% occurred on concrete roads with inactive CBS brakes and a load of 125 kg at a speed of 40 km/h. . While the brake temperature analysis showed the highest value of 79.34 °C on asphalt roads with CBS brakes off and 125 kg load at 60 km/h speed, while the lowest temperature of 48.36 °C occurred on concrete roads with CBS brakes on and 65 kg load at 40 km/h speed.
Object Detection of Motor Vehicle Suspension Systems Based on the YOLOv8 Algorithm: Supporting Sustainable Industry and Innovation (SDG 9) Helmi Wibowo; Nurul Muzakki Rihhadatul ‘Aisy; Muhammad Iman Nur Hakim; Mokhammad Rifqi Tsani; Setya Wijayanta
Journal of Current Studies in SDGs Vol. 3 No. 2 (2027): June
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.2.192

Abstract

Objective: To develop an object detection system for identifying motor vehicle suspension system components using the YOLOv8 algorithm. Specifically, this study focused on improving the efficiency and accuracy of undercarriage inspection processes, which are commonly conducted manually and require technical knowledge to recognize suspension components and detect potential damage. This research contributes to automotive inspection innovation and supports the development of sustainable industrial technology in accordance with Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure). Method: The study employed a computer vision-based approach using the YOLOv8 object detection algorithm for recognizing suspension system components in motor vehicles. The dataset consisted of 1000 suspension system images collected from mandatory vehicle inspection activities at motor vehicle testing facilities. Results: The results showed that the YOLOv8-based detection model could identify suspension system components with an accuracy of up to 95%. Furthermore, the trained model successfully detected oil leakage damage on shock absorber components with an accuracy of 92%. The evaluation results indicate that the proposed system can effectively recognize suspension components under different inspection conditions and provide reliable assistance for vehicle undercarriage inspection processes. Novelty: The study provides a novel implementation of the YOLOv8 deep learning algorithm for automated suspension system inspection in motor vehicles by integrating computer vision technology into the vehicle testing process. The developed system contributes to automotive technology innovation and supports the advancement of smart inspection infrastructure in line with SDG 9 (Industry, Innovation, and Infrastructure).