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All Journal Jurnal Transportasi ILKOM Jurnal Ilmiah Information Technology Education Journal Berkala Forum Studi Transportasi antar Perguruan Tinggi Journal of Vocational, Informatics and Computer Education
Pratindy, Raka
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Social Sciences Transportation

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Driver Facial Detection Across Diverse Road Conditions Shofiah, Siti; Sediyono, Eko; Hasibuan, Zainal Arifin; Kristianto, Budhi; Setiawan, Santo; Pratindy, Raka; Hakim, M. Iman Nur; Humami, Faris
ILKOM Jurnal Ilmiah Vol 16, No 2 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i2.1996.108-114

Abstract

This study emphasizes the importance of facial detection for improving road safety through driver behavior analysis. Its employs quantitative methodology to underscore the importance of facial detection in enhancing road safety through driver behavior analysis. The research utilizes the Python programming language and applies the Haar cascade method to investigate how environmental factors such as low light, shadows, and lighting changes influence the reliability of facial detection. Employing the AdaBoost algorithm, the study achieves face detection rates exceeding 95%. Practical testing with an ASUS A416JA laptop and Raspberry Pi under varied lighting conditions and distances demonstrates optimal performance in detecting faces between 30 cm and 70 cm, with reduced efficacy outside this range, particularly in low light conditions and at night. Challenges identified include decreased performance in low light conditions, emphasizing the need for improved algorithmic calibration and enhancement. Future research directions involve refining detection algorithms to effectively handle diverse environmental conditions and integrating advanced machine learning techniques, thereby enhancing the accuracy of driver behavior analysis in real-world scenarios and contributing to advancements in road safety
RANCANGAN ALAT PEMBATASAN PENGGUNAAN HANDPHONE PADA PENGEMUDI BUS BERBASIS INTERNET OF THINGS Prasetyo, Ilham Bagus; Pratindy, Raka; Srianto
Jurnal Transportasi Vol. 23 No. 2 (2023): Jurnal Transportasi
Publisher : Forum Studi Transportasi antar Perguruan Tinggi (FSTPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jtrans.v23i2.7363.146 - 156

Abstract

The phenomenon of bus drivers still using mobile phones while driving is still prevalent today. This happens because bus drivers have the opportunity to reach for their mobile phones while driving, making it necessary to restrict the use of mobile phones by bus drivers. This research aims to develop an Internet of Things (IoT)-based device that can monitor the use of mobile phones by bus drivers while driving. Using the Research and Development method, this study resulted in a design for a device that restricts the use of mobile phones by bus drivers. This device detects the installation of a mobile phone, ownership of the mobile phone, and the vehicle's speed. Through the data input and data processing in the device's design, it produces warnings in the form of text and sound, as well as violation reports sent to the bus company supervisor. This helps the bus company in monitoring bus drivers. This device's design can serve as a reference for the development of a device that can be implemented in buses to restrict the use of mobile phones while driving. ABSTRAK Fenomena pengemudi bus mengemudi sambil mengoperasikan handphone masih dijumpai hingga saat ini. Hal tersebut terjadi karena pengemudi bus memiliki kesempatan untuk menjangkau handphone pada saat mengemudi, sehingga diperlukan upaya pembatasan kesempatan penggunaan handphone pada pengemudi bus. Penyusunan karya ilmiah ini menggunakan metode penelitian Research & Development (R&D). Penelitian ini menghasilkan sebuah rancangan alat pembatasan penggunaan handphone pada pengemudi bus berbasis Internet of Things (IoT). Alat ini mendeteksi pemasangan handphone, kepemilikan handphone, dan kecepatan kendaraan. Output yang dihasilkan yaitu berupa peringatan dalam bentuk tulisan dan suara serta laporan pelanggaran yang dikirimkan kepada pengawas perusahaan otobus. Rancangan alat ini bertujuan untuk meminimalisir kesempatan pengemudi untuk dapat menjangkau handphone pada saat mengemudi. Selain itu, alat ini juga dapat membantu perusahaan otobus dalam melakukan pengawasan terhadap pengemudi bus.
ANALISIS DAN PERANCANGAN WEB APP DYNAMIC DEMAND RESPONSIVE TRANSPORT (D-DRT) SEBAGAI BAGIAN DARI INTELLIGENT TRANSPORTATION SYSTEM DI KAWASAN WISATA GUNUNG BROMO Zalliandi, Muhammad Destri; Alawiy, Imaduddin; Afifulloh, Imam; Pratindy, Raka
Berkala Forum Studi Transportasi antar Perguruan Tinggi Vol. 1 No. 1 (2023): Berkala Forum Studi Transportasi antar Perguruan Tinggi
Publisher : Prodi Teknik Sipil, Fakultas Teknik, Universitas Jember dan Forum Studi Transportasi antar Perguruan Tinggi

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Abstract

Mount Bromo is a mountain 2,329 meters above sea level. Due to the rocky and rugged contours of the Mount Bromo area, the route is quite complex and requires support facilities and infrastructure. An integrated transportation and accommodation network is needed to support Indonesia's tourist destinations to become world-class travel destinations. All such facilities can be realized through the development of web-based information and booking systems that can provide the current transportation situation. Adopting Dynamic Demand Responsive Transport (D-DRT) concept, this web application system can connect Bromo Jeep drivers and tourists with similar itineraries and schedules in a short time. This study uses a waterfall model approach to analyze and design web-based applications. Through the D-DRT application, it is hoped that it will be easier for tourists to plan tourism activities in the Mount Bromo, reduce the operating costs of tourist vehicles, and have a positive impact on the economy. ABSTRAK Gunung Bromo merupakan gunung dengan ketinggian 2.329 meter di atas permukaan laut. Karena kontur kawasan Gunung Bromo yang berbatu dan terjal, rute perjalanan yang dilalui cukup kompleks dan membutuhkan sarana dan prasarana pendukung. Untuk mendukung destinasi pariwisata Indonesia menjadi destinasi wisata kelas dunia, diperlukan jaringan transportasi dan akomodasi yang terintegrasi. Semua kemudahan tersebut dapat diwujudkan melalui pengembangan sistem informasi dan pemesanan berbasis web yang dapat menyediakan situasi transportasi terkini di kawasan tersebut. Sistem aplikasi web dengan konsep Dynamic Demand Responsive Transport (D-DRT) ini dapat menghubungkan pengemudi jeep bromo dan para wisatawan dengan rencana perjalanan dan jadwal waktu yang serupa dalam waktu singkat. Pada penelitian ini, pendekatan model waterfall digunakan untuk menganalisis dan merancang aplikasi berbasis web. Dengan adanya konektivitas teknologi pada aplikasi D-DRT, diharapkan dapat memudahkan wisatawan untuk merencanakan kegiatan wisata di kawasan wisata Gunung Bromo dan menekan biaya operasional kendaraan wisata sehingga dapat memberi dampak positif bagi perekonomian.
IoT-Based Road Blackspot Detection via GPS and Web Integration: Design, EAN-Based Risk Classification, and Field Evaluation Rahmatullah, Ghani Ridho; Tsani, Mokhammad Rifqi; Pratindy, Raka; Shofiah, Siti
Information Technology Education Journal Vol. 5, No. 2, May (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i2.267

Abstract

Purpose – Road safety on high-traffic inter-city corridors in Indonesia remains a pressing concern, as drivers receive no real-time hazard notification when approaching zones with statistically elevated crash history. This study develops and evaluates an ESP32-based early warning system that couples GPS-derived positioning with the Equivalent Accident Number (EAN) method to issue graduated audio-visual alerts at road blackspots along the Palur–Semarang bus corridor. Design –  EAN quantifies accident severity by weighting fatalities (12), serious injuries (3), minor injuries (1), and property-damage incidents (0.5); segments exceeding the Upper Control Limit (UCL = 170,52) are designated blackspots, with coordinates stored in onboard flash memory. A SIM800L GPRS module transmits positioning data to a web-based fleet monitoring dashboard. Findings – Field evaluation across 10 GPS sampling points yielded mean errors of 0.00033% for latitude (3.7 m) and 0.00005% for longitude (5.0 m), with maximum deviations of 8.9 m and 17.8 m—both within the 800 m geofencing radius. All 10 from 64 validated corridor zones returned EAN values of 199,5–668,5, each exceeding the UCL, with web-platform outputs matching manual calculations exactly. Eight integrated test scenarios confirmed three-tier audio-visual alert delivery at 800 m, 400 m, and 100 m thresholds with zero missed triggers and zero spurious activations. Research implications – These findings provide preliminary evidence for the technical feasibility of EAN-based blackspot intelligence as a driver vigilance aid; however, full-route longitudinal testing across diverse vehicles and network conditions is required before generalised deployment can be recommended. Originality – This study integrates EAN-based crash severity analysis with real-time GPS tracking in an ESP32 system to deliver tiered early warnings for road blackspots.  
IoT-Based Motorcycle Hydraulic Brake Condition Monitoring System with Real-Time Website Integration Ahda Elok Hijriyani, Aufil; Pratindy, Raka; Humami, Faris; Rifano
Journal of Vocational, Informatics and Computer Education Vol 4, No 1 (2026): March 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.587

Abstract

Purpose - Brake failure on motorcycles, particularly on downhill roads, remains a critical safety hazard driven by thermal overheating, fluid degradation, and fluid-loss conditions that conventional single-parameter monitoring systems fail to detect comprehensively. This study successfully developed and preliminarily evaluated an IoT-based multi-sensor monitoring system for real-time detection of hydraulic disc brake conditions on motorcycles using a Research and Development approach. Method - The prototype integrates a Thermocouple Type K, a capacitive moisture sensor, a Level Sensor K-0135, and a GPS BN-220 connected to an ESP32 DevKit V1 microcontroller with MySQL database and Laravel 12 web dashboard integration. Validation encompassed laboratory calibration, 40 scenario classification tests, 50 trial response time measurements, and field testing on flat and downhill roads. Findings -All sensors achieved high accuracy, with thermocouple accuracy of 98.9%, moisture sensor 97.4%, level sensor 98.82%, and GPS speed 97.3% with 100% rule-based output conformity across all 40 predefined scenarios and a mean response time of 0.9314 seconds. Field classification across 3,201 time-series readings yielded an overall classification consistency of 93.22%, with perfect recall for CRITICAL and WARNING states based on predefined threshold rules. Brake pad temperature escalated from 35°C to 134°C on downhill roads, preliminarily supporting the 120°C threshold as an early warning boundary, consistent with documented brake fluid thermal degradation characteristics. Thermocouple reliability decreased to 67.7% under worst-case vibration due to short-circuit interference, representing a critical limitation affecting system reliability under real-world conditions, while dashboard operation remains dependent on stable internet connectivity. Research Implications - This study extends prior single-parameter approaches through a three-tier classification framework (NORMAL–WARNING–CRITICAL). Originality - with the primary contribution lying in the repositioning of the thermocouple from the reservoir to the brake pad surface, enabling more proximal thermal monitoring at the friction interface under the tested conditions.
IoT-Based Dual-Sensor Vehicle Security System Using Piezoelectric and Glass-Break Detectors with GPS Tracking: Design and Performance Evaluation Rohdyawan, Zaidan Wafi; Hakim, M. Iman Nur; Pratindy, Raka; Tsani, Mokhammad Rifqi
Journal of Vocational, Informatics and Computer Education Vol 4, No 1 (2026): March 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.421

Abstract

Purpose – This study aims to develop an IoT-based vehicle security system using a dual-sensor architecture that integrates piezoelectric and glass-break sensors, complemented by GPS tracking, to detect glass-break–based theft attempts rapidly, accurately, and in real time.Methods – A Research and Development (R&D) approach was employed at the functional prototype stage, involving hardware design, ESP32 programming, vibration response testing, glass-break tests on tempered and tinted glass, GPS accuracy assessment across three environmental conditions, and validation of IoT notification response time via Telegram.Findings - An IoT-based vehicle security system integrating piezoelectric and glass-break sensors demonstrated clear signal separation between normal conditions (ADC < 500) and glass-break events (ADC > 1000), with no overlapping distributions observed during testing. The system achieved real-time detection with an average IoT notification response time of approximately 1.14 seconds and showed near-zero false alarm occurrence under controlled experimental conditions.Research implications – Although the prototype exhibits high sensitivity and specificity in controlled environments, system performance remains influenced by IoT network quality and GPS signal degradation in enclosed spaces. Testing was limited to one vehicle model and two glass types; therefore, further research is required, including large-scale field validation, evaluation in dynamic environments, and the implementation of advanced IoT security protocols.Originality – The main contribution of this study lies in addressing the research gap between prior works that predominantly utilized single-sensor or limited sensor combinations without robust acoustic–mechanical differentiation. The applied integration of piezoelectric and glass-break sensors within an IoT-based architecture establishes a cross-verification mechanism that significantly reduces false alarm potential and enhances detection reliability compared to previous approaches.
Co-Authors Afifulloh, Imam Ahda Elok Hijriyani, Aufil Alawiy, Imaduddin Budhi Kristianto Eko Sediyono Hakim, M. Iman Nur Humami, Faris Prasetyo, Ilham Bagus Rahmatullah, Ghani Ridho Rifano Rohdyawan, Zaidan Wafi Setiawan, Santo Siti Shofiah Srianto Tsani, Mokhammad Rifqi Zainal Arifin Hasibuan Zalliandi, Muhammad Destri