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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 Teknik Mesin, Industri, Elektro dan Informatika Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Pengabdian West Science Jurnal Psikologi dan Konseling West Science Jurnal Riset Teknik Sipil dan Sains Applied Environmental Science 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.  
BLUEPOD: Multi-layer fiber biosorbent innovation for microplastics based on Aspergillus oryzae laccase enzyme combined with activated carbon Disfianto, Fajar; Natasya, Berlian; Shofiah, Siti
Applied Environmental Science Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i2.2026.2425

Abstract

Background: Microplastic pollution in coastal waters poses a serious threat to marine ecosystem sustainability and human health due to its persistence and widespread distribution. Since microplastics degrade very slowly under natural conditions, innovative and environmentally friendly mitigation strategies are urgently required. This study introduces BLUEPOD (Buoyant Layered Underwater Ecofilter Pod), an active biosorbent system designed as a floating module composed of a multilayer fibrous matrix integrated with laccase enzyme derived from Aspergillus oryzae and activated carbon. Methods: The activated carbon functions as a high-surface-area adsorbent for capturing microplastic particles, while the immobilized laccase promotes oxidative modification of polymer surfaces, enhancing degradation and reducing persistence. The performance of BLUEPOD was evaluated under controlled laboratory-scale experimental conditions, including static batch tests and continuous-flow tank experiments, using defined concentrations of synthetic microplastics (<5 mm). Removal efficiency was assessed over a 48-hour operational period. Findings: The results demonstrated that BLUEPOD achieved more than 80% microplastic removal efficiency, indicating a strong synergistic effect between adsorption and enzymatic oxidation mechanisms. These findings highlight the potential of BLUEPOD as a lab-scale validated biosorbent system with promising applicability for coastal water treatment, riverine environments, and aquaculture discharge management. Conclusion: With further optimization and field-scale validation, BLUEPOD may serve as a sustainable and scalable solution for mitigating microplastic pollution in Indonesia’s coastal regions and other similarly impacted marine environments. Novelty/Originality of this article: The novelty of this study lies in developing BLUEPOD, a floating multilayer fiber biosorbent integrating Aspergillus oryzae laccase and activated carbon, combining adsorption and enzymatic oxidation for effective microplastic removal.
Co-Authors Aat Eska Fahmadi Aditya Prima F Agnes Angi Dian Winei Ahmad Basuki Ainun Rahmawati Ambarita, Sihar Aprianto, Rizal Arjuna, Kevin 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 Disfianto, Fajar 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 Griyo Arti, Tri Gunawan Gunawan Hadi, Suprapto Haidar Dzaki Hakim, M. Iman Nur Halimatus Sa'diyah, Nur Humami, Faris 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 Mohamad Yoga S MS. Viktor Purhanudin Muflihatun Muh. Safar Muhammad Iman Nur Hakim Nampira, Ardi Azhar Natasya, Berlian Nurul Fitriani Nurul Huda Nuryati Solapari Peni Susapti Pranoto, Ethys Pratindy, Raka PUTRO, HANENDYO 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 Zahir, Roya Zainal Arifin Hasibuan Zaki, Amin Zuhrianto, Farhan Afif