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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 4 Documents
 1 
Search results for , issue "Vol. 1 No. 3 (2024): (In Progress)" : 4 Documents clear
Design Lighting System Based on PID Control and Node-RED Fikrul Ma’arif, Muhammad
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 3 (2024): (In Progress)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i3.35454

Abstract

In general, lighting systems use the on/off principle, by turning on the lights in a dark room and turning off the lights in a bright room. This has drawbacks in terms of effectiveness, because it does not pay attention to external influences and lighting, namely sunlight. To overcome this problem, automatic light intensity control is needed which still refers to the surrounding lighting. The aim of this research is to understand the performance of light intensity control devices in lighting systems using the PID method. Comparing the measurements of the BH1750 sensor with a lux meter measuring instrument, an average error value of 6.61% was obtained. Searching for PID parameters uses the trial and errors method with 5 attempts on each parameter. In testing each parameter, optimal results were obtained for the PID parameters, namely Kp = 0.10 Ki = 0.18 Kd = 0.10 with a system response value of 7.91, settling time of 14.63 and overshoot of 0.97
Energy Monitoring in Wave Power Plant Based on Node-Red and ESP 8266 Dzakiyya Rosalin, Berliana
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 3 (2024): (In Progress)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i3.35456

Abstract

Renewable energy in Indonesia includes solar, water or hydro, bioenergy, wind, geothermal, and ocean waves. The large availability of renewable energy, especially ocean waves, is supported by the geographical conditions of Indonesia, which is the largest archipelagic country. Indonesia has 17,499 islands from Sabang to Merauke, while the area of ​​Indonesia is 7.81 km2 and 3.25 million km2 is ocean. This is related to the world's electricity needs which are estimated to reach 1000 EJ (EJ = 1018J) and will continue to increase every day. Depletion of reserves and greenhouse gas emissions do not allow fossil fuel energy to dominate. Therefore, the Node Red and ESP 8266 Based Wave Power Plant is one of the profitable renewable alternative energies on a commercial scale. The design of this prototype uses a pendulum system. The up and down motion of the pendulum will be converted into a rotary motion by the crankshaft and distributed to the pulley and DC generator. Thus, it can distribute electrical energy that is controlled first by the charger controller before entering the battery. Then the INA 219 sensor will detect the amount of voltage and current generated and distributed to the internet (Node Red) via ESP 8266 so that the tool can be monitored remotely.
Design of Bidirectional DC-DC Converter for Photovoltaic Charging System Muhammad Farhan Rizky; Syahril Mubarok, Muhammad; Herlambang Setiadi; Nur Vidia Laksmi B.
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 3 (2024): (In Progress)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i3.35685

Abstract

This paper proposes a bidirectional DC-DC converter designed for photovoltaic charging systems. The converter aims to efficiently charge batteries while maintaining stable DC voltage and current output. It can convert DC power from solar panels to charge the battery and deliver DC power from the battery to the connected DC bus. The control method for the converter utilizes PI control to achieve a constant output current and voltage. The simulations were conducted using MATLAB/Simulink software, optimizing the converter’s topology, parameters, and controls according to the requirements of the PV charging system. Simulations validated the converter’s performance under various conditions, including input power fluctuations caused by changes in sunlight intensity. The results demonstrate that the bidirectional DC-DC converter effectively operates in charging and discharging modes, maintaining a stable 24V voltage in the DC bus and providing optimal charging performance for the battery.
Assessing the Strategic Impact of Artificial Intelligence - Robotic Process Automation on Enterprise Architecture in the Telecommunications Industry Umar, Abubakar; Abdulrazaq Imam, Isa; Ore-Ofe, Ajayi Ore-Ofe; Daniel Emmanuel, Dako; Sylvester Aondonenge, Dugguh; Abdulwahab Olugbenga , Lawal
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 3 (2024): (In Progress)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i3.36736

Abstract

This project explores the strategic impact of Artificial Intelligence (AI)-enhanced Robotic Process Automation (RPA) on Enterprise Architecture (EA) within the telecommunications industry. Traditionally, RPA has been applied to automate repetitive tasks without altering underlying IT infrastructure, focusing primarily on operational efficiency. However, the integration of AI introduces cognitive capabilities to RPA, enabling more dynamic interactions within complex organizational systems. This project assesses how AI-driven RPA can influence EA by enhancing system efficiency, supporting business-IT alignment and promoting digital transformation. Through case studies and analyses of various telecommunications operations, the project investigates the dual role of AI-enhanced RPA in both streamlining enterprise-wide processes and maintaining adaptability to meet industry demands. The findings indicate that, while AI-RPA integration holds significant promise for accelerating operational improvements, it also presents unique challenges related to governance, scalability and long-term sustainability. This work contributes insights into the adoption of AI-driven RPA as a transformative tool for telecommunications, offering guidance on best practices for aligning automated systems with enterprise strategic goals.

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