cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Widi Aribowo
Contact Email
widiaribowo@unesa.ac.id
Phone
+62811307761
Journal Mail Official
vubeta@unesa.ac.id
Editorial Address
Jl. Prof. Moch Yamin, Ketintang, Kec. Gayungan, Surabaya, Jawa Timur 60231
Location
Kota surabaya,
Jawa timur
INDONESIA
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 83 Documents
 5   6   7   8   9 
Roles of FACTS Devices in Modern Transmission: A Review of Challenges, Solutions, and Research Direction Sabo Aliyu; Buba, Sadiq
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026): (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.v3i1.40130

Abstract

The increasing demand for efficient, stable, and flexible power delivery in modern transmission networks has led to the widespread integration of Flexible AC Transmission Systems (FACTS) devices. This review presents an extensive assessment of five major FACTS devices—SVC, STATCOM, TCSC, SSSC, and UPFC—by analyzing their operating principles, technical architectures, system integration strategies, and real-world applications. Through the synthesis of findings from scholarly sources published between 2019 and 2025, the paper identifies critical challenges such as high implementation costs, dynamic response limitations, and system coordination complexity. In addressing these challenges, the paper proposes hybrid deployment strategies and cross-device compensation approaches, demonstrating how the strengths of one device can mitigate the weaknesses of another. A unique contribution of this study is the structured presentation of thematic comparative tables that highlight similarities in components, applications, and limitations of FACTS technologies, as well as their suitability for various power system problems. The paper is structured as follows: Section 1 introduces the motivation and scope of FACTS in modern grids. Section 2 provides a methodological framework and detailed classification. Section 3 presents a comparative review enriched with original figures and schematic diagrams. Section 4 offers thematic discussion on applications, cross-device solutions, and innovation trends. Finally, Section 5 concludes the study by summarizing findings and emphasizing the value of strategic deployment in solving transmission challenges. By synthesizing operational insight with implementation strategies, this work fills a vital gap in comparative FACTS literature and offers a roadmap for future academic and industry research.
Optimization of CNC Milling Parameters Machining on Surface Roughness and Hardness Value of Material SS 316 Muhammad Wildan Syifatillah; Talifatim Machfuroh
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026): (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.v3i1.40971

Abstract

The issue in the CNC milling process on SS 316 material is the variation in machining parameters that can affect the surface quality and hardness of the workpiece. Surface quality and hardness are important in the application of industrial machine components because they affect wear resistance and component lifespan. This research aims to optimize the machining parameters for surface roughness and hardness values on SS 316 material. Thus, optimal parameters are obtained to produce a smooth surface and appropriate hardness on SS 316 material in the CNC milling process. The varied machining parameters are spindle speed (1500, 1800, 2100 rpm), feed rate (50, 100, 150 mm/min), and depth of cut (0.2, 0.5, 0.8 mm). At present, the Taguchi method is used to determine the optimal machining parameters. From the research results, it was found that the machining parameters that produce optimal surface roughness are spindle speed (2100 rpm), feed rate (50 mm/min), and depth of cut (0.2 mm). Furthermore, the parameter that most affects surface roughness is the feed rate. On the other hand, for hardness, the optimal parameters are spindle speed (1500 rpm), feed rate (50 mm/min), and depth of cut (0.2 mm), with the factor that influences hardness being spindle speed. The optimal combination of parameters for roughness does not always yield optimal results for hardness, so an approach is needed in selecting machining parameters. This research contributes to the quality of the CNC milling process, particularly for SS 316 material.
Development of an AHP-Based Multi-criteria Decision Model for prioritizing Road-Related Infrastructure in Cameroon: Case Studies of Bogo-Guirvidig and Bingambo-Grandzambi projects Mvondo, Fabrice Fortune; Wounba, Jean François; Nkeng, Georges Elambo
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026): (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.v3i1.42330

Abstract

Road development projects in Cameroon often fail to address multidimensional poverty and human exclusion, particularly in regions with contrasting socio-economic conditions like the conflict- affected Far North and resource-rich South. This study proposes a systematic approach to prioritize infrastructure investments that reduce exclusion by integrating the Analytic Hierarchic Process (AHP) with multidimensional exclusion indices. The work extends existing AHP applications in Sub-Saharan Africa (Mugo et al., 2020) by incorporating exclusion metrics, offering a replicable framework for inclusive infrastructure planning in developing contexts. The AHP method was applied using expert judgments from local authorities and community representatives to evaluate criteria linked to human exclusion. Case studies from Bogo-Guirvidig (Far North) and Bingambo-Grandzambi (South) provided contrasting regional insights. Sanitation infrastructure, educational infrastructure, rural road development, and water access emerged as top priorities for reducing exclusion. The model demonstrates how targeted investments alongside road projects can significantly improve equity. The study provides actionable insights for policymakers to allocate resources effectively, emphasizing the need for context-sensitive  infrastructure planning to combat multidimensional poverty.
Review on Energy-Efficient Model Hybrid Clustering Technique in WSNs Iyobhebhe, Matthew; Tekanyi, Abdoulie Momodou . S; Abubilal, K. A; Isiaku, Yau; Agbon, E. E; Obi, Elvis; Umar, Abubakar; Ore-ofe, Ajayi; Kwembe, Benjamin Amough; Botson, Botson Ishaya; Eleshin, Ridwan. O; Ashafa, Fatima; Muge, Paul Thomas
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026): (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.v3i1.42564

Abstract

This review article explores the advancements in energy-efficient hybrid clustering techniques for Wireless Sensor Networks (WSNs), highlighting their significance in optimizing energy consumption and enhancing network longevity. As WSNs become integral to various applications, efficient energy management is crucial for prolonging node lifespan and ensuring reliable data transmission. We analyze existing models, comparing their effectiveness in minimizing energy usage while maximizing data delivery efficiency. The review article formulate model equation for determines Energy-Efficient hybrid clustering techniques, Energy consumption, Network Life time, and Data Transmission Delivery which enhances network stability, also discusses the challenges faced in the implementation of these techniques, including scalability and network dynamics. By synthesizing current research, this review aims to provide insights into emerging trends and future directions in energy-efficient clustering strategies, offering valuable guidance for researchers and practitioners seeking to improve the sustainability and performance of WSNs.
A Laboratory Investigation of the Effect of Temperature on Densities and Viscosities of Un-conventional Fuel (Residual Fuel Oil) and Petroleum Diesel Oil. Nwufo, Maduka Augustine
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026): (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.v3i1.42708

Abstract

Fuel properties such as viscosity and density play a critical role in determining the efficiency, performance, and environmental footprint of combustion systems, particularly in industrial and power generation applications. Understanding how these properties respond to temperature variations is essential for optimizing fuel handling, atomization, and combustion, especially when considering the use of unconventional fuels such as Residual Fuel Oil (RFO). This study investigated the effect of temperature on the viscosity and density of RFO compared with conventional petroleum diesel. Fuel samples were analyzed in a controlled laboratory environment using a digital rotational viscometer and ASTM-compliant hydrometer across a temperature range of 20°C to 100°C, at 10°C intervals. Measurements were replicated and subjected to regression modeling. The results revealed that both viscosity and density decrease as temperature increases, with viscosity exhibiting an exponential decline and density showing a nearly linear trend. RFO demonstrated significantly higher viscosity than diesel at all temperatures, indicating the necessity of preheating for proper flow and combustion. Statistical analysis confirmed the differences in thermal behavior were significant. These findings have important implications for energy systems considering fuel switching or dual-fuel operations, as they highlight the need for thermal management strategies when using heavier fuels like RFO. The study contributes valuable data for the design and operation of systems that aim to integrate unconventional fuels into existing diesel infrastructure while maintaining efficiency and compliance with emission standards.
DESIGN AND CONSTRUCTION OF A SINGLE-PHASE SYNCHRONOUS RELUCTANCE MOTOR DRIVE Akinloye, Benjamin
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026): (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.v3i1.42969

Abstract

This study presents the design, simulation, and hardware implementation of a hybrid PI–Fuzzy Logic controller for a single-phase synchronous reluctance motor (SynRM) drive system. The objective is to enhance speed and torque control performance using cost-effective embedded hardware. A field-oriented control (FOC) scheme was modeled in MATLAB/Simulink and implemented on an ATmega328P microcontroller interfaced with an infrared speed encoder. Among the three tested controllers—PI, Fuzzy Logic, and Hybrid PI–Fuzzy—the hybrid controller exhibited superior performance, achieving minimal overshoot, reduced settling time, and improved robustness to disturbances. Experimental results confirmed accurate and stable speed tracking under dynamic conditions, making the proposed system highly suitable for industrial and domestic applications.
Mechanical and Thermal Properties of Polymer Blends Composites Reinforced with Nano Filler alwan, Rafah; Hamid, Raghad
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026): (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.v3i1.43562

Abstract

This study explores the enhancement of the mechanical and thermal properties of polymer blends (high-density polyethylene and polypropylene) by incorporating nanofillers such as carbon nanotubes, graphene oxide, and silica nanoparticles. The effects of varying nanofiller concentrations (1%, 2%, and 3% by weight) on tensile, impact, and flexural strengths, as well as thermal stability using thermogravimetric analysis (TGA), were investigated. The results showed that the addition of carbon nanotubes provided the most significant improvement, with a 50% increase in tensile strength at a 2% concentration. Graphene oxide and silica nanoparticles also improved mechanical properties, though to a lesser extent. The thermal stability was enhanced by all fillers, with carbon nanotube and graphene oxide composites exhibiting higher decomposition temperatures. X-ray diffraction analysis indicated that the inclusion of nanofillers increased the crystallinity of the polymer blends, contributing to the overall material strengthening. The study demonstrates that carbon nanotubes, graphene oxide, and silica nanoparticles significantly enhance both mechanical and thermal properties of polymer composites, making them suitable for applications in industries such as automotive, aerospace, and electronics. Future research should focus on optimizing nanofiller concentrations and evaluating the long-term performance of these materials under real-world conditions.
Design and Control of a Seaweed Dryer Prototype using a Hybrid Power Source setiyono, setiyono; Syahrul, Elfitrin; Nur’ainingsih, Dyah
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026): (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.v3i1.44016

Abstract

This study presents the design and control of a seaweed dryer prototype powered by a hybrid energy source combining wind and photovoltaic (PV) systems. The prototype is developed to improve the efficiency and sustainability of seaweed drying processes in coastal and remote areas with limited grid access. The control system integrates several sensors and switch modules to enhance automation and operational reliability. A Low Voltage Disconnect (XH-M609) module is employed to protect the battery system by disconnecting the load when voltage drops below a safe threshold. A photocell sensor is used to detect sunlight intensity, allowing the system to operate the dryer only during adequate daylight, thereby conserving energy. Additionally, a rain drop sensor is integrated to pause the drying process during rainfall to prevent rehydration of the seaweed. A relay module is used to control the switching of dryer components based on real-time sensor feedback. The entire system is designed for both automatic and manual modes, ensuring flexibility for user intervention when necessary. Simulation and field test results show that the prototype can effectively utilize hybrid renewable energy sources while maintaining protection and adaptive control based on environmental conditions, offering a cost-efficient and eco-friendly solution for small-scale seaweed farmers
Modeling of Multiple Statistical Distributions for Extreme Rainfall Data Using Maximum Likelihood Estimation Methods and Bayesian Methods Marizal, Muhammad; Jannah, Zahratul
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026): (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.v3i1.44270

Abstract

The city of Pekanbaru has rapidly developed into a metropolitan hub, facing challenges such as floods and haze caused by extreme rainfall events. This study proposes a novel combination of Generalized Extreme Value (GEV), Generalized Logistic (GLO), and Generalized Pareto (GP) distributions, utilizing Bayesian Markov Chain Monte Carlo (MCMC) and Maximum Likelihood Estimation (MLE) methods, to model annual extreme rainfall data for the period 2010–2024. Rainfall data were sourced from NASA/POWER. Model performance was evaluated using Relative Root Mean Square Error (RRMSE), Relative Absolute Square Error (RASE), and Probability Plot Correlation Coefficient (PPCC). The Bayesian method yielded superior performance with RRMSE = 0.3166, RASE = 0.2682, and PPCC = 0.00485 for the GEV distribution, outperforming MLE. The novelty lies in applying this methodological combination to Pekanbaru's rainfall dataset for the first time, providing valuable insights for flood mitigation, drainage planning, and urban water resource management.
A Novel Evolutionary-Swarm Hybrid Algorithm for Optimizing Power Transfer Efficiency in Wireless Power Transfer Systems Aku, David; Araga, Idris; Danjuma, Isah; Airoboman, Abel
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026): (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.v3i1.44795

Abstract

Achieving high stable Power Transfer Efficiency (PTE) in Wireless Power Transfer (WPT) systems remains challenging due to the nonlinear, multimodal nature of the optimization space. Conventional algorithms such as Genetic Algorithms (GA), Differential Evolution (DE), and Simulated Annealing (SA) often face premature convergence, sensitivity to parameter settings, and inconsistent performance across runs. To overcome these issues, this study introduces the Evolutionary-Swarm Hybrid Algorithm (ESHA), which integrates DE for directional exploration, GA crossover for population diversity, SA for adaptive convergence, and Lévy Flights for stochastic global search. ESHA was implemented on a WPT system with a fixed 20 cm transmission distance and compared with GA, DE, and SA using three performance indicators: PTE, convergence speed, and computational efficiency. Results show that ESHA achieved a maximum PTE of 97.18%, surpassing GA (96.81%), DE (96.65%), and SA (96.19%), while maintaining zero variance across independent runs. It converged in an average of 31.2 iterations, slightly faster than GA (33.15) and SA (32.1), and comparable to DE (31.3). Execution time was 0.4738 s, close to GA (0.4654 s) and only marginally higher than DE (0.4262 s) and SA (0.4329 s). Statistical validation confirmed significant improvements in PTE (p < 0.05).

Page 8 of 9 | Total Record : 83

 5   6   7   8   9 

Filter by Year

2024 2026


Reset
Filter By Issues
All Issue Vol. 3 No. 1 (2026): (In Progress) Vol. 2 No. 3 (2025) Vol. 2 No. 2 (2025) Vol. 2 No. 1 (2025) Vol. 1 No. 3 (2024): (In Progress) Vol. 1 No. 2 (2024) Vol. 1 No. 1 (2024)