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Widi Aribowo
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Vokasi UNESA Bulletin of Engineering, Technology and Applied Science
Published by Universitas Negeri Surabaya
ISSN : -     EISSN : 30640768     DOI : https://doi.org/10.26740/vubeta.v1i1
Core Subject : Science, Engineering,
Computer Science & IT Engineering Mechanical Engineering Transportation
Vokasi Unesa Bulletin Of Engineering, Technology and Applied Science is a peer-reviewed, Quarterly International Journal, that publishes high-quality theoretical and experimental papers of permanent interest, that have not previously been published in a journal, in the field of engineering, technology, and applied sciences that aim to promote the theory and practice of Engineering, Technology And Applied Science.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2024)" : 6 Documents clear
Monitoring battery charging using Node-RED Vidia Laksmi B, Nur; Muhammad Syahril Mubarok; Reza Rahmadian; Mahendra Widyartono; Ayusta Lukita Wardani; Aditya Chandra Hermawan
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 1 (2024)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i1.33917

Abstract

The need for a smart grid has been spurred by the growth of distributed generation, the aging of the current grid infrastructure, and the desire to alter networks. The development and enhancement of smart grid technology is significantly facilitated by the Internet of Things (IoT) technology. Batteries play a crucial role in the energy storage of electrical systems, including smart microgrids and electric vehicles. To enhance performance and prolong battery life, a Battery Monitoring System (BMS) is required to manage the energy storage process dynamics within the battery. Battery life prediction contributes to the consistent and efficient operation of battery-powered devices. This research presents battery charging monitoring using Nodered. Apart from that, the battery charging feature uses a cut-off concept. The cut off on the battery is to prevent the battery from over-discharging which can damage the battery and shorten its lifespan. This research carried out validation using 3 case studies on battery charging. Validation of measurements uses a comparison between the INA 219 sensor and a multimeter. From experiments, current testing from 3 case studies, it was found that the average difference in current sensor error was 0.19%.
Frilled Lizard Optimization to optimize parameters Proportional Integral Derivative of DC Motor aribowo, widi; Abualigah, Laith; Oliva, Diego; Mzili, Toufik; Sabo, Aliyu; A. Shehadeh, Hisham
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 1 (2024)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i1.33973

Abstract

This paper presents a Proportional-Integral-Derivative (PID) parameter optimization method for direct current (dc) motors. The method utilizes a metaheuristic technique known as Frilled Lizard Optimization (FLO), which is inspired by natural processes. FLO draws inspiration from the lizard's hunting method of employing a sit-and-wait approach with great patience. The method is divided into two distinct phases: the exploration phase, which simulates a swift predator attack by a lizard, and the exploitation phase, which imitates the lizard's return to the treetop after feeding. This study confirms the effectiveness of FLO by conducting performance tests on the CEC2017 benchmark function and a DC motor. Through the simulations conducted on the CEC2017 benchmark function, it has been determined that FLO has superior exploration and exploitation capabilities. When testing a DC motor, it was discovered that the PID-FLO approach is effective in reducing overshoot and achieving optimal performance
Metabharata Game Based on Javanese Wayang Art Using Unity Addaviqi, Iqbal Izza; Prapanca, Aditya
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 1 (2024)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i1.34034

Abstract

The development of the 2D game Metabharata was initiated as an effort to introduce and preserve the art of Javanese puppetry, especially to the younger generation. Javanese wayang, with its deep artistic and philosophical values, is considered to have the potential to be creatively conveyed through the medium of 2D games. This research applies the Waterfall model development method to ensure a structured approach in the creation process. The Metabharata game is geared towards bringing together digital technology, structured software development methods, and the rich cultural arts of Javanese wayang. The testing of this game involved content validity analysis, construct validity through a multi-expert approach, and usability testing with the USE Questionnaire. The validity results showed a very valid level of validity, and usability testing showed high satisfaction with a usability percentage of 94%. With these results, it can be concluded that ‘Metabharata’ is worth maintaining and developing further as a contribution to the development of local culture-based games.
Parameter Estimation Of Photovoltaic based on Chaotic Elite Mountain Gazelle Optimizer Joni, Koko
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 1 (2024)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i1.34073

Abstract

This research presents a technique for optimizing photovoltaic (PV) characteristics using a modified version of the Mountain Gazelle Optimizer (MGO). The method under consideration is referred to as CEMGO. The Mountain Gazelle Optimizer (MGO) is a meta-heuristic algorithm that draws inspiration from the social structure and hierarchy observed in wild mountain deer. This paper utilizes CEMGO to ascertain the parameters of photovoltaic solar panels using a single diode model, relying on experimental datasets. To verify the effectiveness of the CEMGO approach. This article employs the original MGO algorithm for the sake of comparison. The comparison function utilized is the root mean square error. Based on the simulation findings, the CEMGO value outperforms the MGO approach, with a superiority of 23.07%.
Application of Binary Logistic Regression Method in Diagnosing Ischemic Stroke Disease at Petala Bumi Hospital, Riau Province Marizal, Muhammad; Uci Lestari, Tri
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 1 (2024)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i1.34099

Abstract

Stroke occurs suddenly when blood flow is obstructed while supplying blood to the brain. Ischemic stroke is a type of stroke that often occurs and is a major cause of disability and even death. The large number of ischemic stroke incidents is the result of ignorance of the risk factors that lead to the emergence of ischemic stroke events. The purpose of this study was to determine the risk factors that significantly influence ischemic stroke and to determine the chances of thrombotic and embolic ischemic stroke by involving several independent variables. Factors that are thought to influence the occurrence of ischemic stroke in this study were age, gender, hypertension status, diabetes mellitus status, hypercholesterolemia status, obesity, triglycerides, body mass indeks, diet, and smoking habits. The method used in this research is binary logistic regression. The results of the analysis show that age and hypertension status have a significant effect on ischemic stroke with a classification accuracy of 74% the rest is influenced by other factors
Performance of LoRa SX1278 Using Yagi Antenna Nawawi, Akhmad; Hermawan, Aditya; Wardani, Ayusta
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 1 (2024)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i1.34348

Abstract

This study examines the use of Yagi antennas to extend the LoRa SX1278 transceiver's range, focusing on enhancing communication distance and reducing signal loss. LoRa, a low-power wireless technology, enables long-distance transmission ideal for sensor data, reaching up to 15 km in rural areas and 1-5 km in urban environments. By adjusting impedance, the Yagi antenna improves LoRa signal range and quality by focusing transmission directionally, reducing interference. The test results show that the yagi antenna has better coverage and signal strength than the spring antenna. Testing horizontal conditions with 3 different locations shows that antenna design greatly affects the transceiver of data. The Yagi antenna with modified impedance has the ability to transmit the farthest distance of 6250 meters. Horizontal testing with a fairly short distance is not too significant a difference in the rssi value of the two antennas, but in terms of reception category, the spring antenna is still not good. Test results show that the Yagi antenna significantly outperforms the spring antenna, maintaining better signal strength at longer distances due to its effective electromagnetic energy focus.

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