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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 82 Documents
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Smart Grid Design and Simulation for Goma TMK Substation Regulation Umaru, Kalyankolo; Magana, Ajabu Elie
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 8 No 1: April 2026
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-0801.1012

Abstract

Power distribution networks in places like Goma, Democratic Republic of Congo, face the challenges of voltage control, energy loss, and power quality because they depend mainly on manual control provided at substations such as TMK. This study proposes a smart grid solution for automated voltage regulation through On-Load Tap Changer (OLTC) control for inefficiencies stemming from the above challenges using a Programmable Logic Controller (PLC). The system utilizes real-time electrical parameters monitoring, thereby employing dynamic adjustment processes to ensure voltage levels are kept at their optimum, as well as limiting overcurrent and improving thermal stability. The hybrid simulation approach uses Siemens TIA Portal for PLC logic and MATLAB Simulink to check the system's dynamic analysis under varied loads and faults. The results proved to enhance voltage stability and operational efficiency, and robustness while minimizing human intervention. The architecture is amenable to SCADA integration and distributed energy resources for future incorporation, thus providing a scalable solution to aging grids in resource-poor settings.
Integration of Weather API and IoT in an Automatic Irrigation System Based on Soil Moisture for Sugarcane Farming Khakim, Khasanul; Puji Astutik, Rini
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 8 No 1: April 2026
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-0801.1020

Abstract

National sugarcane productivity in Indonesia faces significant challenges due to climate change and a reliance on rain-fed lands, as is the case in Banjarejo Village, Grobogan Regency. Prolonged drought conditions frequently lead to unstable crop growth and diminished harvest yields. This study aims to design and implement an adaptive, Internet of Things (IoT)-based automated irrigation system by integrating soil moisture sensors with weather forecast data obtained via the OpenWeatherMap Application Programming Interface (API). The system utilizes an ESP32 microcontroller as its central control unit and solar panels as its primary energy source to support sustainable agriculture. The research methodology encompasses hardware design, employing Capacitive v1.2 soil moisture sensors, a 200 Wp solar module, and a 100 Ah battery; as well as software development utilizing JSON deserialization methods on the Blynk platform. Testing results demonstrate that the sensors exhibit a remarkably high level of accuracy, with an average error rate of merely 0.528%. The integration of weather data enables the system to make more intelligent irrigation decisions; the pump activates only when soil moisture levels fall below 40% and no rainfall is forecast. Over a one-month testing period, the system achieved a 100% success rate in executing its control logic and maintaining real-time data synchronization. The use of solar panels also proved effective, generating a peak power output of 87.4 Watts under bright, sunny conditions. In conclusion, this integration of IoT technology, real-time weather data, and renewable energy successfully enhances water-use efficiency and remote monitoring effectiveness, offering an innovative solution for sugarcane farmers as they navigate dynamic environmental conditions.

Page 9 of 9 | Total Record : 82

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