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Jurnal JEETech
Published by Universitas Darul Ulum
ISSN : 29647320     EISSN : 27225321     DOI : https://doi.org/10.32492/jeetech.v6i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Jurnal JEETech: Journal Of Electrical Engineering And Technology. Electrical Engineering. Journal of Darul Ulum University Jombang in collaboration with the Faculty of Engineering, Darul Ulum University Jombang with the Indonesian Electrical Engineering Higher Education Forum (FORTEI). Region VII. East Java. This journal contains research results in the fields of Power Engineering, Telecommunication Engineering, Computer Engineering, Control and Computer Systems, Electronics, Information Technology, Informatics, Data and Software Engineering, Biomedical Engineering. All submitted articles must report original, previously unpublished, experimental or theoretical research results that are not published and are being considered for publication elsewhere. Submissions must be made online through the JEETech submission site. Published twice a year in May and November p-ISSN: 2964-7320 (Print); e-ISSN: 2722-5321 (Online)
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 94 Documents
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Performance Analysis of Building-Embedded Loop Antenna Systems for Smart City IoT Networks Farhan Rezki Arifin; Nurmayanti Zain; Lompo Ramos Emakarim
Jurnal JEETech Vol. 6 No. 2 (2025): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v6i2.6207

Abstract

The increasing demand for seamless connectivity in Smart City environments has encouraged the integration of communication systems directly within building infrastructures. This study presents the performance analysis of a building-embedded loop antenna system designed for sub-GHz Internet of Things (IoT) applications. The proposed antenna, made of stainless steel and embedded in a reinforced concrete column, was modeled and simulated using Ansys HFSS (High Frequency Structure Simulator) based on the Finite Element Method (FEM). Analytical and full-wave simulations were conducted to evaluate key electromagnetic parameters, including return loss, voltage standing wave ratio (VSWR), impedance bandwidth, and radiation characteristics. The results showed that the antenna achieved resonance at 700 MHz with a return loss of –20.95 dB and a VSWR of 1.196, demonstrating excellent impedance matching. The impedance bandwidth covered 563–939 MHz, ensuring compatibility with various IoT protocols such as LoRaWAN, NB-IoT, Z-Wave, and ZigBee. Despite reduced gain due to dielectric absorption and coupling within the concrete medium, the antenna maintained an omnidirectional radiation pattern, suitable for low-power IoT nodes. These findings indicate that building-embedded loop antennas can function as integrated communication elements while preserving architectural integrity.
Sistem Cerdas Budidaya Jamur Tiram Berbasis Internet Of Things (IoT) Eko Wahyu Santoso; Affan Bachri; Aura Arif Darmawan
Jurnal JEETech Vol. 6 No. 2 (2025): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v6i2.6206

Abstract

The cultivation of oyster mushrooms (Pleurotus ostreatus) requires optimal temperature and humidity control to ensure maximum growth. One of the main challenges faced by mushroom farmers is the difficulty in monitoring and controlling environmental conditions in real time, which can negatively impact yield quality and productivity. This study aims to design and implement an intelligent system based on the Internet of Things (IoT) to automatically monitor and regulate temperature and humidity in oyster mushroom cultivation rooms. The system utilizes an ESP32 microcontroller as the main controller, a DHT11 sensor for temperature and humidity measurement, a relay module as an automatic switch, a mist maker to maintain humidity, and a DC fan to control air circulation. Environmental data are transmitted in real time to a Telegram Bot application, allowing users to monitor conditions remotely via smartphones. The experimental results show that all system components functioned properly and responsively. The DHT11 sensor accurately detected temperature and humidity variations, the relay operated stably in controlling connected devices, the mist maker effectively increased humidity, and the DC fan successfully reduced room temperature. In addition, the Telegram Bot provided automatic notifications and responded to user commands without noticeable delay. Overall, the IoT-based intelligent system proved effective in maintaining stable environmental conditions for oyster mushroom cultivation, improving monitoring efficiency, and supporting farmers in enhancing both yield quality and productivity.
Prediksi Jumlah Permintaan Darah Jenis Packed Red Cells Menggunakan Support Vector Regression Ahmad Izzuddin; Farhatin Nikmah; Nuzul Hikmah
Jurnal JEETech Vol. 6 No. 2 (2025): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v6i2.6209

Abstract

The Blood Transfusion Unit (UTD) of the Indonesian Red Cross (PMI) in Probolinggo Regency faces challenges in managing blood supplies, particularly for Packed Red Cells (PRC), due to unpredictable fluctuations in demand. The imbalance between supply and demand often leads to shortages or surpluses, affecting the quality of healthcare services. This study aims to predict the demand for PRC to support more efficient inventory management. The method employed is Support Vector Regression (SVR), an approach within the Support Vector Machine (SVM) algorithm that is effective for regression and prediction tasks. Historical blood demand data was used to train the model. The results indicate that SVR provides sufficiently accurate predictions for all blood types, with the best performance achieved for blood type B, yielding a Root Mean Square Error (RMSE) of 0.0589 and a Mean Absolute Percentage Error (MAPE) of 7.11%. In conclusion, the SVR method can be effectively applied to forecast PRC demand and has the potential to support decision-making in blood stock management at the UTD PMI of Probolinggo Regency.
Rancang Bangun Sistem Monitoring Digester Biogas Berbasis IoT dengan Sensor Multi-Parameter Zainal Abidin; Nur Azizah Affandy; Eko Wahyu Santoso
Jurnal JEETech Vol. 6 No. 2 (2025): Nomor 2 November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v6i2.6210

Abstract

This research aims to design and implement a monitoring system for key parameters in the biogas production process, namely temperature, humidity, and pH of cow dung liquid using Internet of Things (IoT) technology. This system is designed to support the efficiency and reliability of the anaerobic fermentation process in a biogas plant digester developed in a livestock environment. A DHT11 sensor is used to measure temperature and humidity, while an analog pH sensor is used to measure the acidity level of the liquid in the digester. All data is transmitted in real time via an ESP8266 module to the ThingSpeak cloud platform, which allows for online data visualization and analysis. Test results show that the system is able to operate stably with an accuracy of ±1°C for temperature, ±3% for humidity, and ±0.2 for pH compared to conventional measuring instruments. This system is expected to assist farmers in continuously monitoring biogas conditions and become the basis for automation of fermentation process control in the future.

Page 10 of 10 | Total Record : 94

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