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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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Penerapan Catalytic Converter Berbahan Kuningan, Nikel, Dan Karbon Aktif Sebagai Upaya Penurunan Emisi Gas Buang Co Dan Hc Pada Mesin Bensin Winasti, Pramudita Putri Audina; Kurniawan, Moch. Aziz; Pratindy, Raka; Fahmadi, Aat Eska; Marwanto, Riza Phahlevi
Jurnal Ragam Pengabdian Vol. 3 No. 2 (2026): Mei-Agustus, Sustainable Development Goals (SDGs): Multidisciplinary Perspectiv
Publisher : Lembaga Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/q6542y50

Abstract

Exhaust emissions from motor vehicles are a leading source of air pollution in urban areas, particularly carbon monoxide (CO) and hydrocarbon (HC) produced by incomplete combustion. This study examines the performance of a catalytic converter constructed from a composite combination of brass, nickel, and activated carbon materials in mitigating CO and HC emission levels produced by a Suzuki Carry Pick Up gasoline-powered vehicle. An experimental approach was used, measuring exhaust emissions before and after catalytic converter installation at five engine speeds—idle, 1500, 2000, 2500, and 3000 rpm—with three repetitions per condition. Measurements were taken using a calibrated gas analyzer at the Cilincing Vehicle Testing Unit, Jakarta. Results demonstrated that the catalytic converter reduced average CO emissions by 48.29%, from 0.343% to 0.177%, and HC emissions by 16.67%, from 152.4 ppm to 126.7 ppm. Higher engine speeds generally yielded lower emission levels, consistent with improved combustion efficiency as the air-fuel ratio (AFR) approached the stoichiometric value of 14.7:1. A temporary increase in emissions at 2500 rpm was attributed to valve overlap and combustion chamber pressure dynamics at mid-range speeds. These results confirm that brass and nickel as catalysts combined with activated carbon as an adsorbent represent an effective and economically accessible alternative to precious metals in catalytic converter fabrication.
Inovasi Sistem Manajemen Rambu Lalu Lintas Real-Time Berbasis Internet of Things: Evaluasi Kinerja Berdasarkan Waktu Respons Transmisi Data dan Deteksi Lokasi GPS: Innovation of a Real-Time Internet of Things-Based Traffic Sign Management System: Performance Evaluation Based on Data Transmission Response Time and GPS Location Detection Pratindy, Raka; Utami, Unggul; Winesti, Feby Ayu; Illiyun, Bani; Diaz, Ryandi Syahputra; Syamil, Zain Ad Dienusy
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 4 (2026): MALCOM October 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i4.2814

Abstract

Keselamatan lalu lintas tetap menjadi isu kritis pada wilayah dengan keterbatasan rambu jalan statis yang dapat meningkatkan kebingungan pengemudi dan risiko kecelakaan. Penelitian ini bertujuan merancang Sistem Rambu Lalu Lintas Otomatis berbasis Internet of Things (IoT) untuk menyampaikan informasi lalu lintas secara real-time dan adaptif. Sistem dikembangkan menggunakan Raspberry Pi 3B+ sebagai pengendali utama yang terintegrasi dengan LED dot matrix, Firebase, Google Maps API, dan aplikasi Android. Penelitian menggunakan metode Research and Development (R&D) yang meliputi analisis, perancangan, perakitan perangkat keras, pemrograman, dan pengujian sistem. Hasil evaluasi menunjukkan rata-rata waktu respons transmisi data sebesar 5,8 detik dan waktu deteksi lokasi GPS sebesar 11,6 detik. Sistem mampu menampilkan informasi batas kecepatan dan rambu arah secara akurat dalam radius deteksi 10–30 meter. Temuan tersebut menunjukkan bahwa sistem berbasis IoT layak secara teknis untuk mendukung manajemen rambu yang fleksibel, adaptif, dan responsif terhadap kondisi jalan. Kebaruan penelitian terletak pada integrasi Raspberry Pi 3B+, LED dot matrix, Firebase, Google Maps API, dan aplikasi Android dalam sistem rambu adaptif berbasis geofencing. Pengujian pada lima titik koordinat juga menunjukkan kinerja sistem yang konsisten serta berpotensi dikembangkan melalui integrasi sensor lalu lintas dan kecerdasan buatan