Journal of Engineering and Technological Science
Journal of Engineering and Technological Science (JETS) is a peer-reviewed open-access journal published by Lembaga Penelitian dan Pendidikan (LPP) Kalibra with registered number of e-ISSN 3110-259X, dedicated to publishing high-quality research and innovation in the field of engineering and technological science. JETS provides a forum for researchers, academics, professionals, practitioners and students to instill and share knowledge in the form of empirical and theoretical papers, case studies, literature reviews and book reviews related to scientific research in the field of technology and engineering, and or related to it with various themes Engineering such as mechanical engineering, electrical and electronic engineering, civil engineering, chemical engineering, industrial engineering, as well as informatics and computer engineering, robotics, industrial automation, artificial intelligence, Internet of Things (IoT). This journal will process all manuscript receipts in a double anonymous review by Bestari partners.
Articles
15 Documents
<![CDATA[Optimasi Proses Produksi Menggunakan Metode Lean Manufacturing pada Industri Otomotif ]]>
<![CDATA[Ahmad Rizky Pratama]]>
<![CDATA[ Journal of Engineering and Technological Science Vol. 1 No. 1: Journal of Engineering and Technological Science, August 2025 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pendidikan (LPP) Kalibra ]]>
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DOI: 10.70716/jets.v1i1.50
<![CDATA[The automotive industry is a highly competitive sector requiring continuous improvement in efficiency and productivity. Lean Manufacturing has emerged as a powerful methodology for eliminating waste and optimizing production processes. This study aims to implement and evaluate the effectiveness of Lean Manufacturing tools in improving the production process of a selected automotive company in Indonesia. A qualitative and quantitative approach was employed, including value stream mapping, waste identification, and implementation of tools such as 5S, Kaizen, and Kanban. Data were collected through direct observation, interviews, and production records. The findings indicate a significant reduction in lead time by 23%, a 17% increase in production output, and enhanced workflow efficiency. The study concludes that Lean Manufacturing significantly contributes to process optimization in the automotive industry and offers practical implications for managers seeking operational excellence.]]>
<![CDATA[Analisis Kekuatan Struktur Beton Bertulang Menggunakan Material Tambahan Abu Terbang (Fly Ash) ]]>
<![CDATA[Ahmad Nurhadi]]>
<![CDATA[ Journal of Engineering and Technological Science Vol. 1 No. 1: Journal of Engineering and Technological Science, August 2025 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pendidikan (LPP) Kalibra ]]>
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DOI: 10.70716/jets.v1i1.51
<![CDATA[This study investigates the structural strength of reinforced concrete incorporating fly ash as a supplementary material. Fly ash, a byproduct of coal combustion in power plants, has pozzolanic properties that can enhance the performance of concrete. The primary aim is to evaluate the mechanical properties and durability of reinforced concrete when partially replacing Portland cement with varying percentages of fly ash. An experimental approach was used, involving compressive strength testing, flexural strength analysis, and durability assessments over different curing periods. The results indicate that fly ash improves long-term strength and sustainability while reducing cement usage. The optimum fly ash content observed was 20%, which demonstrated a balance between strength gain and environmental benefits. These findings suggest that fly ash is a viable alternative material in reinforced concrete construction for improving structural performance and sustainability.]]>
<![CDATA[Pengaruh Variasi Campuran Aspal Plastik terhadap Daya Tahan Jalan Raya di Iklim Tropis di Daerah Lombok Tengah ]]>
<![CDATA[Ahmad Firdaus]]>
<![CDATA[ Journal of Engineering and Technological Science Vol. 1 No. 1: Journal of Engineering and Technological Science, August 2025 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pendidikan (LPP) Kalibra ]]>
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DOI: 10.70716/jets.v1i1.52
<![CDATA[The use of plastic waste in road construction has emerged as an innovative solution to address both infrastructure durability and environmental sustainability. This study aims to investigate the effect of plastic-modified asphalt mixtures on the durability of road pavements in tropical climates, particularly in Central Lombok. The research adopts an experimental method using various proportions of polyethylene plastic waste (2%, 4%, and 6% by weight of bitumen) in asphalt mixtures. Samples were tested for stability, flow, and resistance to moisture damage using the Marshall test. The results show that the 4% plastic-modified asphalt mixture exhibits optimal performance in terms of load resistance and moisture susceptibility. The findings suggest that plastic waste integration not only improves asphalt pavement performance but also supports local waste management initiatives. This study contributes to sustainable road construction practices in tropical regions and highlights the potential of plastic waste reuse in infrastructure development.]]>
<![CDATA[Analisis Kuat Tekan Beton dengan Penambahan Serat Plastik Daur Ulang sebagai Bahan Tambahan ]]>
<![CDATA[Ahmad Firmansyah]]>
<![CDATA[ Journal of Engineering and Technological Science Vol. 1 No. 1: Journal of Engineering and Technological Science, August 2025 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pendidikan (LPP) Kalibra ]]>
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DOI: 10.70716/jets.v1i1.57
<![CDATA[The increasing concern about plastic waste has prompted researchers to explore sustainable alternatives in construction materials. This study investigates the compressive strength of concrete with the addition of recycled plastic fibers as supplementary material. The objective is to determine whether the integration of plastic fibers improves or compromises the mechanical performance of the concrete mix. Experimental methods involved creating concrete specimens with varying percentages (0%, 0.5%, 1%, and 1.5%) of shredded recycled plastic fibers. Standard tests for compressive strength were conducted after 28 days of curing. The results show that the addition of 0.5% and 1% plastic fibers enhances the compressive strength compared to the control mix, while the 1.5% composition results in a decrease. These findings suggest that there is an optimal range for plastic fiber addition that benefits concrete performance. The research contributes to sustainable construction practices by proposing an eco-friendly reuse of plastic waste.]]>
<![CDATA[Implementasi Blockchain untuk Transparansi dan Keamanan Rantai Pasok Komponen Elektronik ]]>
<![CDATA[Rizky Ananda]]>;
<![CDATA[Kenzi Katon Rinjani]]>
<![CDATA[ Journal of Engineering and Technological Science Vol. 1 No. 1: Journal of Engineering and Technological Science, August 2025 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pendidikan (LPP) Kalibra ]]>
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DOI: 10.70716/jets.v1i1.59
<![CDATA[The complexity and globalized nature of the electronic components supply chain presents numerous challenges related to transparency, traceability, and security. Current centralized systems are vulnerable to data manipulation and lack real-time visibility, resulting in counterfeiting and inefficiencies. This study aims to explore the implementation of blockchain technology in enhancing transparency and security within the electronic components supply chain. A qualitative method was adopted, involving literature reviews and case studies of leading blockchain adoption in electronics supply management. The research highlights how blockchain's decentralized and immutable ledger offers significant advantages in traceability, counterfeit prevention, and supplier accountability. Results show that incorporating blockchain into supply chain operations reduces data asymmetry and improves stakeholder trust. Furthermore, smart contracts enable automation of verification and payment processes, increasing operational efficiency. The study concludes that blockchain holds transformative potential in securing and optimizing electronic supply chains and recommends further development of interoperable standards and regulatory frameworks.]]>
<![CDATA[Analisis Efisiensi Energi pada Sistem Penerangan Gedung Bertingkat ]]>
<![CDATA[Ahmad Rizky Ramadhan]]>
<![CDATA[ Journal of Engineering and Technological Science Vol. 1 No. 2: Journal of Engineering and Technological Science, November 2025 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pendidikan (LPP) Kalibra ]]>
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DOI: 10.70716/jets.v1i2.130
<![CDATA[The increasing electrical energy consumption in high-rise buildings highlights the urgent need for efficient and environmentally friendly lighting systems. This study aims to analyze the energy efficiency level of lighting systems in high-rise buildings through the implementation of energy-saving LED lamps and automated sensor systems. The research methodology involved an energy usage survey, light intensity measurements, and a comparative analysis of energy consumption before and after the implementation of the automation system. The results showed a reduction in energy consumption of up to 35% without compromising users’ visual comfort. The implementation of light and motion sensors also improved operational efficiency and significantly reduced monthly electricity costs. In conclusion, the application of energy-efficient lighting systems has a positive impact on energy sustainability and contributes to reducing carbon emissions in high-rise buildings.]]>
<![CDATA[Optimasi Jaringan Distribusi Air Bersih Menggunakan Algoritma Genetika dan Data Spasial ]]>
<![CDATA[Siti Rahmawati]]>
<![CDATA[ Journal of Engineering and Technological Science Vol. 1 No. 2: Journal of Engineering and Technological Science, November 2025 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pendidikan (LPP) Kalibra ]]>
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DOI: 10.70716/jets.v1i2.131
<![CDATA[The optimization of clean water distribution networks is an essential issue in urban infrastructure management, particularly in developing countries where water demand increases rapidly while resources remain limited. This research proposes an optimization approach for water distribution networks using Genetic Algorithm (GA) combined with spatial data analysis in a Geographic Information System (GIS) environment. The study integrates hydraulic modeling with spatial parameters, including elevation, population density, and pipeline topology, to improve pressure balance and minimize energy consumption. The optimization process is performed using EPANET coupled with a GA-based optimization engine developed in MATLAB. The results show that the proposed method reduces total head loss by 28% and decreases pumping energy costs by 15% compared to conventional design approaches. Spatial data integration enhances the precision of network analysis and provides more realistic representation of topographic conditions. The findings demonstrate that GA combined with spatial data can effectively support decision-making for sustainable and cost-efficient water distribution planning.]]>
<![CDATA[Pengaruh Desain Aerodinamika Terhadap Efisiensi Bahan Bakar pada Kendaraan Bermotor Listrik ]]>
<![CDATA[Raka Pratama]]>
<![CDATA[ Journal of Engineering and Technological Science Vol. 1 No. 2: Journal of Engineering and Technological Science, November 2025 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pendidikan (LPP) Kalibra ]]>
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DOI: 10.70716/jets.v1i2.132
<![CDATA[The aerodynamic design of electric vehicles (EVs) significantly influences their overall energy efficiency, particularly in reducing air drag and improving battery range. This study aims to analyze the effect of aerodynamic body design on the energy consumption of electric motor vehicles using computational fluid dynamics (CFD) simulations. Three different vehicle models with varying drag coefficients (Cd = 0.22, 0.28, and 0.35) were evaluated under identical speed and wind tunnel conditions. The results indicate that reducing the drag coefficient by 0.1 can increase the vehicle’s travel range by approximately 8–12%, depending on speed and battery capacity. Streamlined body shapes and underbody smoothing were found to be the most effective design features in minimizing drag. This study highlights the critical role of aerodynamic optimization in improving the sustainability and performance of electric vehicles, offering design guidelines for future EV development.]]>
<![CDATA[Prediksi Kemacetan Lalu Lintas Urban Menggunakan Model Pembelajaran Mesin dan Data Mobilitas Real-time ]]>
<![CDATA[Ahmad Fikri]]>
<![CDATA[ Journal of Engineering and Technological Science Vol. 1 No. 2: Journal of Engineering and Technological Science, November 2025 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pendidikan (LPP) Kalibra ]]>
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DOI: 10.70716/jets.v1i2.133
<![CDATA[Urban traffic congestion is a persistent challenge in rapidly growing cities, leading to increased travel times, fuel consumption, and pollutant emissions. This study aims to develop a machine-learning-based prediction model for urban traffic congestion by leveraging real-time mobility data obtained from vehicle probes and sensor networks. The proposed framework integrates supervised learning techniques including gradient boosting, random forest, and recurrent neural networks to forecast congestion levels with a lead time of 15 to 60 minutes. A dataset collected from a metropolitan region over the course of six months (including vehicle speeds, volumes, occupancy, and external factors such as weather and special events) was used for model training and validation. The results show that the best-performing model (gradient boosting) achieved an accuracy of 87% and a root mean squared error (RMSE) reduction of 23% compared to a baseline regression model. The findings suggest that real-time mobility data combined with advanced machine learning methods can significantly enhance congestion prediction performance, enabling urban traffic managers to implement proactive interventions. The study contributes to the field of intelligent transportation systems by providing a practical modelling approach and highlighting the importance of multi-source data integration. Future work should explore deployment in heterogeneous networks and test scalability across multiple cities.]]>
<![CDATA[Sistem Kendali Otonom pada Kendaraan Listrik Menggunakan Sensor Fusion dan Kalman Filter ]]>
<![CDATA[Ahmad Rizal]]>
<![CDATA[ Journal of Engineering and Technological Science Vol. 1 No. 2: Journal of Engineering and Technological Science, November 2025 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pendidikan (LPP) Kalibra ]]>
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DOI: 10.70716/jets.v1i2.134
<![CDATA[The development of autonomous electric vehicles requires highly accurate and reliable control systems to ensure safety and efficiency. This research presents an autonomous control system for electric vehicles using sensor fusion integrated with the Kalman Filter algorithm. The system combines data from multiple sensors, including LiDAR, IMU, and GPS, to improve localization accuracy and environmental awareness. A simulation-based experiment was conducted using MATLAB/Simulink and Robot Operating System (ROS) environments. The results show that the Kalman Filter reduces localization error by 37% compared to single-sensor systems, while the sensor fusion approach improves object detection stability under dynamic conditions. The proposed system demonstrates improved path tracking accuracy and smoother control response. These findings highlight the effectiveness of sensor fusion and Kalman Filter implementation in enhancing autonomous vehicle navigation performance.]]>
