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All Journal Syntax Literate: Jurnal Ilmiah Indonesia JOURNAL OF CIVIL ENGINEERING, BUILDING AND TRANSPORTATION ILKOM Jurnal Ilmiah Journal on Education Almana : Jurnal Manajemen dan Bisnis Borneo Engineering: Jurnal Teknik Sipil Jurnal Teknik Mesin Indonesia JURNAL TEKNIK Jurnal Fisika Indonesia Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknologi Transportasi dan Logistik JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Jurnal Penelitian Sekolah Tinggi Transportasi Darat Jurnal Teknik Terapan (J-TETA) Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Pengabdian West Science Jurnal Psikologi dan Konseling West Science Information Technology Education Journal Jurnal Riset Teknik Sipil dan Sains Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Jurnal Keselamatan Transportasi Jalan Journal of Moeslim Research Technik Research of Scientia Naturalis
Siti Shofiah
Politeknik Keselamatan Transfortasi Jalan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Neuroscience Physics Public Health Social Sciences Transportation Other

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THE EFFECT OF AERODYNAMIC DESIGN ON FUEL EFFICIENCY IN COMMERCIAL VEHICLES Fernandez, Carlos; Shofiah, Siti; Nampira, Ardi Azhar
Journal of Moeslim Research Technik Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i2.1936

Abstract

The increasing demand for fuel efficiency in commercial vehicles has prompted extensive research into aerodynamic designs. Improved aerodynamics can significantly reduce drag, leading to enhanced fuel economy and lower operational costs for commercial fleets. Understanding the relationship between aerodynamic design and fuel efficiency is critical for optimizing vehicle performance. This research aims to evaluate the impact of various aerodynamic designs on the fuel efficiency of commercial vehicles. The study focuses on analyzing the performance differences between conventional and streamlined vehicle shapes. An experimental approach was employed, utilizing computational fluid dynamics (CFD) simulations alongside real-world driving tests. Several vehicle models with different aerodynamic features were tested under controlled conditions. Fuel consumption data was collected and analyzed to assess the relationship between design modifications and fuel efficiency. The findings indicated that streamlined designs improved fuel efficiency by an average of 15% compared to conventional models. Vehicles with enhanced aerodynamic features experienced reduced drag coefficients, leading to significant fuel savings during operation. The results demonstrated a clear correlation between aerodynamic optimization and improved fuel economy. The research highlights the crucial role of aerodynamic design in enhancing fuel efficiency for commercial vehicles. These findings emphasize the importance of integrating aerodynamic considerations into vehicle design processes.
AUTOMATED DETECTION OF ROAD SURFACE DEFECTS USING UAVS AND CONVOLUTIONAL NEURAL NETWORKS Zahir, Roya; Khan, Jamil; Xiang, Yang; Shofiah, Siti
Journal of Moeslim Research Technik Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i3.2349

Abstract

This study presents a novel approach to the automated detection of road surface defects using Unmanned Aerial Vehicles (UAVs) and advanced image processing. The research background highlights the critical need for efficient and safe road infrastructure maintenance. Traditional methods, which rely on manual visual inspections, are often time-consuming, expensive, and expose inspectors to traffic risks. The primary objective is to design and validate an automated system for identifying and classifying various road surface defects, such as potholes, cracks, and rutting. The system aims to leverage aerial imagery captured by UAVs and process it with a Convolutional Neural Network (CNN). The research seeks to demonstrate a solution that is faster, more accurate, and safer than manual inspection methods, paving the way for proactive road maintenance. The research methodology involves three key stages: data acquisition, model development, and validation. High-resolution images of various road defects are captured using a UAV. These images are then used to train a custom-designed CNN model. The model is trained to recognize and classify different types of defects with high precision. The results indicate that the combination of UAVs and CNNs is a robust and effective solution for road monitoring. The conclusion is that this automated system provides a scalable, safe, and highly accurate method for road surface defect detection.  
PHOTOCATALYTIC DEGRADATION OF PHARMACEUTICAL WASTE USING ZNO/CUO THIN FILMS UNDER VISIBLE LIGHT Vann, Dara; Dara, Ravi; Rocha, Thiago; Shofiah, Siti
Research of Scientia Naturalis Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i3.2384

Abstract

The increasing presence of persistent pharmaceutical contaminants in water bodies poses a significant threat to environmental and human health, necessitating effective remediation technologies. This study aimed to develop and evaluate zinc oxide/copper oxide (ZnO/CuO) composite thin films as an efficient photocatalyst for degrading pharmaceutical waste under visible light. The ZnO/CuO thin films were synthesized via a sol-gel spin-coating method, and their photocatalytic activity was assessed using diclofenac as a model pollutant. The results demonstrated that the ZnO/CuO heterostructure exhibited enhanced visible light absorption and superior photocatalytic performance compared to pure ZnO. The composite films achieved over 90% degradation of diclofenac within 120 minutes, with the process following pseudo-first-order kinetics. The enhanced efficiency is attributed to effective charge separation at the ZnO/CuO interface. This research confirms that ZnO/CuO thin films are promising, reusable photocatalysts for the sustainable treatment of pharmaceutical-contaminated water.
FERROELECTRIC THIN FILMS FOR NEUROMORPHIC COMPUTING: SYNTHESIS, CHARACTERIZATION, AND DEVICE INTEGRATION Huda, Nurul; Zaki, Amin; Chai, Nong; Shofiah, Siti
Research of Scientia Naturalis Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i4.2385

Abstract

The limitations of conventional von Neumann computing architectures in handling complex, data-intensive tasks have spurred significant interest in brain-inspired neuromorphic computing. A critical challenge in this field is the development of hardware that can efficiently emulate the synaptic plasticity of biological neurons. This study focuses on the synthesis, characterization, and integration of ferroelectric thin films, specifically hafnium zirconium oxide (HZO), as a promising material platform for creating artificial synaptic devices. The primary objective was to fabricate high-quality HZO thin films and demonstrate their capacity to mimic key synaptic functions. HZO films were synthesized using pulsed laser deposition, followed by comprehensive characterization of their structural, ferroelectric, and electrical properties using XRD, PFM, and I-V measurements. The optimized films were then integrated into two-terminal memristive device structures. The resulting devices successfully exhibited essential synaptic behaviors, including potentiation, depression, and spike-timing-dependent plasticity (STDP), with low energy consumption per synaptic event. The gradual and controllable modulation of ferroelectric domain switching was identified as the core mechanism enabling this analog-like resistance modulation.  
QUANTUM DOT-EMBEDDED POLYMER FILMS FOR FLEXIBLE PHOTONIC DEVICES: FABRICATION AND CHARACTERIZATION Nampira, Ardi Azhar; Zahir, Roya; Khan, Omar; Shofiah, Siti
Research of Scientia Naturalis Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i4.2389

Abstract

materials for photonic devices that can conform to non-planar surfaces. Quantum dots (QDs) are ideal candidates due to their size-tunable emission and high quantum yields, but their integration into durable, flexible platforms remains a key challenge. This study aimed to develop and characterize highly luminescent and mechanically flexible quantum dot-embedded polymer films as a robust platform for next-generation photonic applications. We fabricated composite films by embedding cadmium selenide/zinc sulfide (CdSe/ZnS) core-shell QDs into a polydimethylsiloxane (PDMS) polymer matrix via solution casting. The structural, optical, and mechanical properties were systematically investigated using transmission electron microscopy (TEM), UV-Vis absorption, photoluminescence (PL) spectroscopy, and cyclic bending tests. The results showed that TEM analysis confirmed a uniform dispersion of QDs within the PDMS matrix without aggregation. The composite films exhibited intense, stable photoluminescence, retaining the characteristic sharp emission of the colloidal QDs. Crucially, the films demonstrated exceptional mechanical flexibility, maintaining over 95% of their initial PL intensity after 1,000 bending cycles to a 5 mm radius. The optical properties remained stable under various strain conditions, proving the effective protection afforded by the polymer matrix. This work successfully demonstrates a scalable method for producing high-quality, flexible photonic materials.  
Advances in Driver Monitoring: A Review of Liveness Detection Techniques SHOFIAH, SITI; Suartika, I Made; Hakim, M. Iman Nur; Humami, Faris; Hidayat, Dwi Wahyu; Asmoro, Langgeng
Jurnal Penelitian Sekolah Tinggi Transportasi Darat Vol 15 No 2 (2024): December 2024
Publisher : Politeknik Transportasi Darat Indonesia - STTD Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55511/jpsttd.v15i2.686

Abstract

Driver fatigue significantly contributed to traffic accidents, especially in countries with complex road characteristics like Indonesia. The research emphasized the importance of raising public awareness, developing improved detection technologies, and enforcing strict regulations. Various methods, including computer vision and physiological monitoring, were evaluated to detect driver fatigue and enhance safety through early warnings and advanced detection systems in vehicles. A systematic literature review (SLR) analyzed recent advancements, identified relevant articles, and synthesized findings to highlight current trends, gaps, and potential improvements in driver fatigue detection technology. The study found that driver monitoring systems had played a significant role in reducing traffic accidents, highlighting the importance of enhancing public awareness, advancing monitoring technologies, and enforcing strict regulations. Various methods, including computer vision and physiological monitoring, had been evaluated for their effectiveness in monitoring drivers and improving safety through early warnings and advanced detection systems in vehicles. The SLR identified current trends, gaps, and potential improvements in driver monitoring technology. Future research needed to focus on integrating various evaluation metrics, enhancing physiological monitoring techniques, optimizing overall system performance, and improving user experience. Additionally, interdisciplinary approaches and real-time data analysis and integration with existing vehicle systems were required to create more effective, efficient, and reliable driver monitoring systems, ultimately enhancing driving safety.
Real-Time IoT-Enabled Multi-Modal Warning System for Preventing Vehicular Brake Fade Accidents Yulio, Brian Adam Dwi; Marwanto, Riza Phahlevi; Shofiah, Siti; Humami, Faris; Muthoriq, Ery; Wibowo, Helmi
Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Vol 7, No 1 (2026)
Publisher : Departemen Teknik Elektro dan Informatika Sekolah Vokasi UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/juliet.v7i1.109520

Abstract

Brake fade due to excessive heat remains a leading cause of vehicular accidents, particularly among heavy-duty and public transportation vehicles. This issue is exacerbated by the limitations of conventional brake monitoring systems that lack real-time response capabilities. To address this challenge, this study develops a Smart Brake Thermal Management system based on Internet of Things (IoT) technology, designed to detect and deliver multi-modal alerts in response to potential brake overheating. The system integrates precision thermocouple sensors, an ESP32 microcontroller, an OLED display, and cloud-based notifications via Telegram. Using a Research and Development (R&D) methodology, the system was validated through six controlled road tests under standardized conditions. Results indicate high temperature measurement accuracy at 98.07% and 98.62% for dual sensor configurations, with system response times of less than two seconds. The warning mechanism effectively delivered synchronized notifications via visual indicators, audible alerts, and instant messaging. This system demonstrated a strong ability to identify the risk of brake fade before critical failure occurred, enhancing vehicular safety significantly. Its modular design and cost-effective implementation also make it suitable for large-scale retrofitting in existing vehicle fleets. The primary contributions of this research include the integration of multi-modal warning systems, real-time thermal monitoring through cloud connectivity, and a predictive approach to brake temperature management that improves proactive safety interventions.
Simulasi Distribusi Tegangan dan Deformasi pada Sasis Truk Light Duty dengan Variasi Panjang Rangka Sisi Menggunakan Metode Elemen Hingga Pranoto, Ethys; Gunawan, Gunawan; Rifano, Rifano; Muthoriq, Ery; Shofiah, Siti
Jurnal Teknik Terapan Vol. 5 No. 1 (2026): April
Publisher : P3M Politeknik Negeri Jember

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

Abstract

: In the field of freight transportation, changes to vehicle structures, particularly in the chassis length dimension, are commonly carried out to increase load-carrying capacity. One form of such change involves extending the frame length and adjusting the wheelbase in commercial vehicles with a 1.2 axle configuration. Although this approach can increase the volume of cargo that can be transported, alterations in structural dimensions have the potential to affect the load distribution contour on the vehicle frame. An uneven load distribution may lead to increased stress in certain areas, greater deformation, and a reduction in the structural safety level, which can ultimately affect the reliability and operational safety of the vehicle. This study aims to examine the effect of chassis length variations on the characteristics of the load distribution contour in freight transport vehicles with a 1.2 axle configuration. The analysis focuses on evaluating changes in stress, deformation, and the safety factor of the frame structure resulting from variations in chassis length and wheelbase adjustments. The approach used is a numerical simulation based on the Finite Element Method, utilizing software to model and evaluate the structural response of the chassis frame under loading conditions. The simulation results show that an extension of the chassis length, accompanied by changes in wheelbase position, leads to higher displacement and stress distribution in the chassis frame. The extension of the chassis side frame structure leads to an increase in stress values, which even exceed the material’s yield strength, with a maximum value reaching approximately 3709 MPa. In addition, the displacement reaches up to 81 mm, indicating increased frame deflection. Therefore, any changes in chassis dimensions must be designed by carefully considering load distribution and overall structural strength in order to maintain the reliability and safety of freight vehicles.
IoT-Based Road Blackspot Detection via GPS and Web Integration: Design, EAN-Based Risk Classification, and Field Evaluation Ghani Ridho Rahmatullah; Mokhammad Rifqi Tsani; Raka Pratindy; Siti Shofiah
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.  
Co-Authors Aat Eska Fahmadi Aditya Prima F Agnes Angi Dian Winei Ahmad Basuki Ainun Rahmawati Ambarita, Sihar Aprianto, Rizal Arjuna, Kevin Asmoro, Langgeng Astiti Astiti Ayu, Brasie Pradana Sella Bunga Riska Azalia, Noni Gytha Benny Hamdi Rhoma Putra Brasie Pradana Sela Bunga Reska Ayu Brasie Pradana Sela Bunga Riska Ayu Brian Adam Dwi Yulio Budhi Kristianto Bunga Riska Ayu, Brasie Pradana Sela Chai, Nong Dara, Ravi Devin Mahendika Dwi Wahyu Hidayat, Dwi Wahyu Edi Suharyadi Eka Krisdayanti Eko Sediyono Ery Muthoriq, Ery Fadia Qatrunada Fahmadi, Aat Eska Faishal Andhi Rokhman Farisy Yanuar W P Fernandez, Carlos Firdaus, Denisya Haddad Frans Tohom Gamar Al Haddar Ghani Ridho Rahmatullah Griyo Arti, Tri Gunawan Gunawan Hadi, Suprapto Haidar Dzaki Hakim, M. Iman Nur Halimatus Sa'diyah, Nur Helmi Wibowo, Helmi Humami, Faris I Made Suartika I Made Sukmayasa Iffan Bagus Dwi Saputra Indra Tjahyadi Ita Soegiarto Jihan Luis Joko Siswanto Kanindia Maulidhany Kanthi Pangestu Wijayanthi Khan, Jamil Khan, Omar Kurniawan, Moch. Aziz Lestari, Astri Lily Purwianti Mardikawati, Budi Mariadi Kaharmen, Herman Marwanto, Riza Phahlevi Mohamad Yoga S Mokhammad Rifqi Tsani MS. Viktor Purhanudin Muflihatun Muh. Safar Muhammad Iman Nur Hakim Nampira, Ardi Azhar Nurul Fitriani Nurul Huda Nuryati Solapari Peni Susapti Pranoto, Ethys Pratindy, Raka PUTRO, HANENDYO Raka Pratindy Rifano, Rifano Rinovian Rais Risqi, Muhammad Isro Riza Phahlevi Riza Phahlevi Marwanto Rizka Amanda Choirani Rocha, Thiago Sentoso, Antony Setiawan, Santo Shafa Nadhifah M Sri Yunita Ningsih Sugianto Suprapto Hadi Suprapto Hadi Susanto, C Trisno Suyuti Suyuti Vann, Dara Wahyu Hidayat, Dwi Wibowo, Muhammad Riski Septiana Xiang, Yang Yogi Oktopianto Yohanes Susanto Yulio, Brian Adam Dwi Zahir, Roya Zainal Arifin Hasibuan Zaki, Amin Zuhrianto, Farhan Afif