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Journal of Engineering, Technology, and Applied Science (JETAS)
Published by Lamintang Education & Training Centre
ISSN : 27217949     EISSN : 27218090     DOI : https://doi.org/10.36079/lamintang.jetas
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics
The aim of this journal is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of Engineering, Technology and Applied Science. Subject areas cover, but not limited to Physics, Chemistry, Biology, Environmental Sciences, Geology, Engineering, Agriculture, Biotechnology, Nanotechnology, Mathematics and Statistics, Computer Science, Architecture, Industrial and all other science and engineering disciplines.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 78 Documents
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The Impact of Ultraviolet Radiation on the Mechanical and Physical Properties of Wood Plastic Composite Using Waste Polypropylene Matrix Budiyantoro, Cahyo; Fawwas Ghazy, Muhammad Ikbar; Bilyferdin, Bastian
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 1: April 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0701.827

Abstract

Indonesia has an abundance of wood sawdust waste and polypropylene (PP) plastic waste, which remain underutilized. This study aims to investigate the effects of ultraviolet (UV) radiation on the mechanical and physical properties of wood plastic composite (WPC) made from recycled polypropylene. WPC specimens were fabricated using injection molding with 40-mesh pine and teak wood particles at 10% weight fraction. The samples were exposed to UV radiation for 0, 240, and 750 hours, respectively. Mechanical properties were assessed through impact toughness using the Izod test, while physical properties were evaluated based on density and thickness swelling. The results indicated that prolonged UV exposure significantly reduced the impact strength and density of WPC while increasing its thickness swelling. Notably, teak-based WPC exhibited greater resistance to UV degradation compared to pine-based WPC. These findings highlight the importance of UV stability in WPC applications for outdoor environments and suggest potential improvements through material modifications or protective coatings.
PLC Based Speed Control in a Color Sorting System: A Design and Simulation Perspective Umaru, Kalyankolo; Marlon, Munguleni; Nansukusa, Yudaya; Asikuru, Salaama; Ritah, Nafuna; Zaina, Kalyankolo
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 1: April 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0701.828

Abstract

For simulation purposes in Factory IO and TIA Portal, the research is tailored to emulate industrial sorting operations. In numerous industrial scenarios, sorting operations play a crucial role, with objects segregated based on various criteria such as dimensions, colors, weight, and material composition. For instance, within Thermal Power Stations, electromagnetic sorting techniques are employed to separate ferromagnetic materials from coal. This research specifically focuses on sorting goods based on color, with adjustable speed parameters to match production rates. The system is equipped with a digital display screen, providing real-time feedback on the count of sorted objects, and receives an analog speed signal from the PLC for precise control. This research is divided into two primary components, i.e. Software and Simulation in Factory IO. The software aspect involves the implementation of ladder logic programming in TIA Portal, enabling systematic control of the entire research process based on the input data sequence, while the simulation in Factory IO is encompasses the virtual representation of conveyors for object transportation and RGB color vision sensors for color detection. The entry conveyor features two branches to load objects onto the respective conveyors, directed by the sorting logic implemented in TIA Portal.
Smart Transport Performance in Sweden’s Urban Context Björn, Kokaia; Larsson, Schmid; Nilsson, Bergquist
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 2: August 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0702.765

Abstract

Urban transport faces rising challenges of congestion, energy inefficiency, and emissions. Sweden has pioneered smart mobility innovations, including electric roads (e-roads), electrified public buses, and integrated intelligent transport systems (ITS). This article provides a technical analysis of Sweden’s smart transport infrastructure, focusing on the design of e-roads, autonomous vehicle trials, and digital mobility platforms. Using secondary data from government reports, scientific studies, and engineering case documentation, the study examines system architecture, energy efficiency, and operational scalability. The findings highlight Sweden’s successful integration of electrification, real-time data systems, and multimodal connectivity. Technical limitations such as infrastructure costs, interoperability, and cybersecurity are also identified. The paper concludes that Sweden’s applied smart transport technologies can serve as a blueprint for other urban contexts, particularly in developing cities seeking to transition toward sustainable mobility.
Fuzzy-PID Control Design and Performance Analysis for PMSM Drives in Electric Vehicles Umaru, Kalyankolo; Ritah, Nafuna; Rodney, Mugabe; Nansukusa, Yudaya; Asikuru, Salaama; Ochima, Noah; Mutaburura, Pison; Zaina, Kalyankolo
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 3: December 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0703.917

Abstract

The increasing demand for high performance and energy efficient electric vehicles has driven research into advanced motor control strategies for Permanent Magnet Synchronous Motors. This study investigates the design and performance evaluation of a Fuzzy PID controller as the speed regulator to address the limitations of the typical PID controllers in EV propulsion and a field-oriented control strategy is used. A conventional PID controller is initially implemented and tuned using the Ziegler-Nichols closed loop method. A Fuzzy Inference System is developed and then integrated with the PID controller to form a hybrid Fuzzy PID controller capable of adjusting the PID gains in real time. The performance of both controllers is evaluated under various test scenarios including speed variations, load disturbances, and parameter changes. Simulation results demonstrate that the Fuzzy PID controller significantly reduced overshoot by 0.5%, reduced rise time by 32.04%, improved settling time by 8.04%, and therefore enhanced system stability and responsiveness compared to the typical PID controller. These improvements validate the effectiveness of fuzzy logic in managing the uncertainties associated with PMSM control in EV applications.
Current State of Forest Resources in Guinea-Bissau Nantunguê, Fernando; Sergeevna, Ershova Tatyana
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 3: December 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0703.927

Abstract

The article examines the ecological state of forest resources in Guinea-Bissau, a country that possesses approximately 2–3 million hectares of forests encompassing diverse ecosystems, including sub-humid and dry forests, gallery forests, savannas, palm groves, and mangrove formations. Forest resources provide significant energy wood, consisting of an estimated 650,000 tons of firewood annually for domestic use and about 137,000 tons of charcoal. However, these resources face considerable anthropogenic and natural pressures. Forest fires, intensive logging, pest infestations, heavy metal accumulation, land degradation from mining, industrial and transport emissions, and excessive recreational exploitation are among the main factors negatively affecting forest stability. Current assessments indicate that Guinea-Bissau’s forested area covers 2,080,284 hectares, with bush savannah dominating (1,503,534 ha), followed by open forests (706,998 ha), mangroves (290,482 ha), and dense forests (65,775 ha). Forest pathological monitoring shows that 67.5% of forest stands remain healthy (condition category ≤1.5), while 31.9% exhibit reduced stability (condition category 1.5–4.5), with common pathologies including fusarium infections, root rot, leaf chlorosis, and necrosis. Key drivers of forest decline include logging for fuelwood and charcoal production, agricultural expansion–related deforestation, and both natural and human-induced fires. In 2019 alone, forest fires burned 44,336.7 hectares in Bafata and 38,701.5 hectares in Gabu. Overall, the findings underscore the urgent need for integrated forest management strategies to safeguard Guinea-Bissau’s vulnerable forest ecosystems.
Multi-Station ULF Geomagnetic Analysis for Enhanced Earthquake Precursor Identification Winata, Eresia Nindia; Syamsu Rosid, Mohammad; Febriani, Febty
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 3: December 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0703.931

Abstract

Western Java’s ongoing seismic hazard highlights the need for understanding earthquake precursor mechanisms. Recent studies have increasingly focused on ultra-low-frequency (ULF) signals that may carry information related to pre-seismic phases. However, a key difficulty persists: isolating faint, localized lithospheric signals from the stronger ionospheric activity. Most previous investigations in Western Java have relied on single-sensor measurements, a limitation that complicates the detection of true anomalies. This study addresses this limitation by examining daily ULF variations before the 2023 Banten earthquake sequence (M5.4 and M5.1), using a multi-point setup to distinguish lithospheric signals from stronger background ionospheric noise. Continuous three-component geomagnetic data from two primary stations near the epicenter, Serang (SRG) and Sukabumi (SKB), and a distant reference station (TRD) in East Kalimantan were analyzed. The Z/G spectral density ratio was calculated in the 0.01–0.09 Hz range, using only data from quiet nighttime intervals (15:00–21:00 UTC) and magnetic storm-free days (Dst > -50 nT). The results identified and filtered false positive anomalies by correlating them with signals at the TRD reference station. Two distinct, validated pre-seismic anomalies were identified, concentrated in the 0.04–0.08 Hz band: a multi-station anomaly at H-20 (at SRG and SKB) and a localized, broadband anomaly at H-15 (at SRG). Both emissions were absent at TRD, confirming their lithospheric origin. These results highlight the importance of a multi-station approach for reliably identifying lithospheric ULF anomalies. However, this study is limited to a specific event sequence. Future investigations should focus on integrating broader sensor networks and ionospheric models across multiple seismic events to validate these findings globally and enhance false positive rejection methods.
WebGIS-Based Birdwatching Ecotourism Planning in Kwau Village Reski, Dian; Sumendap, Andreas Leonardo; Dimara, Petrus Abraham
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 3: December 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0703.954

Abstract

Ecotourism development in Kwau Tourism Village remains limited due to the absence of systematic spatial mapping and insufficient accessible information regarding bird distribution, despite the area’s rich diversity of endemic species and strong potential for bird-watching activities. The main problem lies in the lack of integrated ecological data that can support informed planning and sustainable ecotourism management. This study offers a solution by combining spatial and non-spatial ecological information to produce a comprehensive decision-support system. The research applies field-based GPS mapping of bird observation points, hotspot analysis, and documentation of temporal behavioral patterns such as feeding and lekking activity. All datasets were processed in ArcGIS and incorporated into an interactive WebGIS platform designed to assist tourism managers, local communities, and visitors in understanding spatial patterns and planning ecotourism activities more effectively. The findings show that bird distribution is concentrated in forest zones with low human disturbance and stable canopy structure, with peak activity occurring in the morning and late afternoon, providing optimal viewing opportunities. Accessibility assessments also indicate that trekking routes vary in difficulty depending on terrain and elevation. Overall, this study contributes a replicable model for GIS-supported bird-based ecotourism that strengthens destination management and enhances visitor preparedness through integrated ecological information.
Implementation of Solar Energy for an IoT-Based Agricultural Irrigation and Monitoring System Gunawan, Budy; Astutik, Rini Puji
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 3: December 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0703.958

Abstract

In Indonesia, there are approximately 27,368,114 households that work as farmers. Generally, farmers use diesel-fueled pumps for rice field irrigation, but in the current era, diesel is becoming scarce. Trials have been conducted with electric pumps, but they are not supported in areas far from residential areas. Therefore, in this research, a pump drive system was created using an induction motor controlled by an ESP32, with sensor integration for monitoring, solar energy as the Power supply, and the BLYNK application for remote monitoring. The results of the study show that solar panels can produce 580.6 Watts of Power in 8 hours, with a maximum Power of 87.4 Watts at 100,000 lux and 35°C. The sensor accuracy is also perfect, with an average error below 2%. The system also successfully regulated automatic irrigation based on soil moisture levels using the Capacitive Soil Moisture v1.2 sensor: the pump turns on when soil moisture is <40% and stops when it is >60%. Scientifically, this research contributes to the development of an intelligent irrigation system based on solar energy and IoT for remote agricultural areas. However, the control system remains static and is not fully adaptive to changing environmental conditions. Therefore, further research is recommended to integrate artificial intelligence methods, such as fuzzy logic or machine learning, to enhance the system's flexibility and performance across diverse soil conditions. With these developments, this system could become an innovative and sustainable agricultural solution in areas without access to PLN electricity.

Page 8 of 8 | Total Record : 78

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