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 16 Documents
 1   2 
Search results for , issue "Vol. 3 No. 1 (2026)" : 16 Documents clear
Exploring Health Advice Adoption in Digital Spaces: A Dual-Theory Approach Michael Mncedisi Willie
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v3i1.39662

Abstract

Digital health platforms, including social media sites like TikTok and Facebook, have become important spaces for health communication, offering opportunities for peer support and information sharing. However, these platforms also pose significant risks, including misinformation, privacy violations, and a lack of professional oversight. This scoping review investigated the coping mechanisms used by patients and healthcare providers in digital health environments, with a focus on navigating misinformation andunregulated content on social media. A thematic analysis was conducted to identify dominant coping strategies and recurring challenges. The most common coping strategies included cross-checking health information with verified sources, avoiding unverified accounts, and seeking direct consultation with qualified professionals. Despite these strategies, users remain vulnerable due to inconsistent regulation, limited digital health literacy, and the lack of mechanisms for verifying professional credentials online. Digital health ecosystems must be supported by more robust and enforceable regulatory frameworks. Strengthening privacy protocols andissuing platform-specific guidelines for ethical conduct can further protect users and improve trust in digital health communication. This study advances understanding of coping mechanisms in digital health by synthesizing how users manage misinformation, privacy, and oversight challenges on social media, offering insights to improve safety and accountability and to inform future policy.
Roles of FACTS Devices in Modern Transmission: A Review of Challenges, Solutions, and Research Direction Sabo Aliyu; Sadiq N. Buba
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026)
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

Flexible AC Transmission Systems (FACTS) play a critical role in enhancing the stability, controllability, and efficiency of modernpower transmission networks. This review examines the main FACTS devices—SVC, STATCOM, TCSC, SSSC, and UPFC—coveringtheir classifications, working principles, integration methods, and comparative performance. Detailed schematics and tables are used to clarify their operation, highlight technical overlaps, and map device capabilities to specific system challenges. Key issues such as cost, control complexity, dynamic performance, and harmonic distortion are critically assessed, with proposed cross-device solutions and hybrid configurations presented to address these limitations. The review further emphasizes emerging trends, including AI-drivencontrol strategies, hybrid FACTS architectures, and applications in renewable-rich smart grids. By combining comparative insights witha forward-looking perspective, this paper provides guidance for engineers, researchers, and policymakers on deploying FACTS technologies to build more resilient, adaptive power systems.
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)
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

CNC milling of stainless steel (SS) 316 faces considerable difficulties in obtaining the desired hardness and surface quality as a result of machining variability. This investigation focuses on the optimization of spindle speed, feed rate, and depth of cut using the Taguchi method, where soluble oil served as the cutting fluid. The Taguchi method was used with an L9 orthogonal array was implemented to design the experimental trials and the responses of surface roughness (Ra) and hardness (HRB) were quantified according to ISOstandards. The findings reveal that the minimum surface roughness is obtained at a spindle speed of 2100 rpm, feed rate of 50 mm/min, and depth of cut of 0.2 mm and the maximum hardness is achieved at 1500 rpm, 50mm/min, and 0.2 mm. Generally, higher feed rates and depths of cut contribute to poorer surface finish, whereas elevated spindle speeds are associated with improved surface quality. The observed reduction in hardness is primarily linked to thermal accumulation in the cutting zone, which is partlyalleviated by the use of soluble oil. These findings emphasize the need to consider distinct optimal conditions for surface roughness and hardness must be considered to ensure superior CNC milling outcomes for SS 316 stainless steel.
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 Fabrice Fortune Mvondo; Jean François Wounba; Georges Elambo Nkeng
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026)
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 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 Matthew Iyobhebhe; Abdoulie Momodou . S Tekanyi; K. A Abubilal; Yau Isiaku; E. E Agbon; Elvis Obi; Abubakar Umar; Ajayi Ore-ofe; Benjamin Amough Kwembe; Botson Ishaya Chollom; Ridwam. O Eleshin; Fatima Ashafa; Paul Thomas Muge
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026)
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 advancements in energy-efficient hybrid clustering techniques for Wireless Sensor Networks (WSNs), highlighting their significance for optimizing energy consumption and extending network longevity. As WSNs become integral to various applications, efficient energy management is crucial for prolonging node lifespan and ensuring reliable data transmission. The purpose of this review is to analytically examine previous energy-efficient hybrid clustering techniques in WSNs, with a specific emphasis on their mathematical modeling, this serves as a unifying framework for quantitatively evaluating energy efficiency, networklifetime, and transmission performance to enhance network stability. We analyze existing models and compare their effectiveness in minimizing energy use while maximizing data delivery efficiency. Related literature was identified through a methodical search of scientific databases covering publications from 2022 through 2025. Keywords such as hybrid clustering, energy efficiency, wireless sensor network, and energy consumption models were used to ensure comprehensive coverage of the field. The analysis shows that most studies focus on protocols such as LEACH, DCO-EENSCGA, FIS, BWOA, and BeeCluster, as well as parameter metrics such as node density, dead nodes, network lifetime, and so on, while equation-based modeling is rarely used. We also discuss the challenges in implementing these techniques, including scalability and network dynamics. This review synthesizes current research to highlight emerging trends and future directions in energy-efficient clustering strategies, offering practical guidance for researchers and practitioners aiming to enhance the sustainability and performance of WSNs.
A Laboratory Investigation of the Effect of Temperature on Densities and Viscosities of Unconventional Fuel (RFO) and Petroleum Diesel Oil Maduka Augustine Nwufo; Iwenofu Chinwenwa Onyedika; Jisieike Chiazor Faustina
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026)
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

Understanding the thermal behavior of fuels is critical for optimizing engine performance, combustion efficiency and emissions control. This study investigates the effect of temperature on the viscosity and density of Residual Fuel Oil (RFO) - an unconventional heavy fuel and standard diesel oil. Laboratory experiments were conducted from 20°C to 100°C at 10°C intervals. Viscosity and density measurements were taken using a digital rotational viscometer and a hydrometer respectively, following ASTM D445 and D1298 standards. Results revealed that RFO exhibited a high initial viscosity of 210.5 cSt at 20°C, which significantly decreased to 20.6 cSt at 100°C, indicating a 90.2% reduction. In contrast, diesel maintained a more stable profile, dropping from 3.52 cSt to 1.18 cSt over the same range. Density also declined with temperature, from 1012.30 kg/m³ to 904.70 kg/m³ for RFO, and 850.6 kg/m³ to 777.30 kg/m³ for diesel. Regression analysis yielded strong exponential fit models with R² values of 0.989 and 0.978 for RFO and diesel viscosity, respectively, confirming predictable thermal behavior. These findings suggest that preheating RFO to at least 80°C is necessary to achieve viscosity levels (~38.2 cSt) suitable for efficient atomization and combustion in existing diesel engines. The study provides empirical evidence supporting the feasibility of RFO as a partial diesel substitute when thermally conditioned, and it highlights the need for thermal compensation in volume-based fuel metering systems.
Design and Construction of a Single-Phase Synchronous Reluctance Motor Drive Benjamin Akinloye
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026)
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

Despite the advantages of synchronous reluctance motors (SynRMs) in terms of efficiency and cost, precise speed and torque control remains challenging under varying load conditions, particularly in single-phase configurations, which exhibit inherent torque pulsations and asymmetrical dynamics. This study aims to design, simulate, and implement a hybrid proportional-integral (PI)–Fuzzy Logic controller for single-phase SynRM drives to improve dynamic response and robustness over conventional methods. The research addresses the critical problem of maintaining fast transient response and minimal steady-state error under variable loads in single-phase SynRM systems. The control schemes were modeled in MATLAB/Simulink and implemented on an ATmega328P microcontroller interfaced with an infrared speed encoder. The ATmega328P was selected for its widespread availability, ease of integration, and sufficient processing power for low-power SynRM applications. Controllers were tested under variable load conditions simulating industrial and domestic use cases to assess performance under realistic dynamics. Among the three tested controllers—PI, Fuzzy Logic, and Hybrid PI–Fuzzy—the hybrid controller exhibited superior performance. The hybrid controller reduced overshoot by 40% and settling time by 35% compared to the standalone PI controller under identical test conditions. The field-oriented control algorithm was discretized for microcontroller implementation using fixed-point arithmetic to ensure compatibility with low-cost hardware. Experimental results confirmed accurate and stable speed tracking under dynamic conditions. This work contributes a low-cost, high-performance hybrid PI–Fuzzy control solution for SynRM drives, demonstrating the feasibility of implementing advanced control strategies on affordable embedded platforms.
Mechanical and Thermal Properties of Polymer Blends Composites Reinforced with Nano Filler Rafah Alwan Nassif; Raghad Hamid Hilal
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026)
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 aims to enhance the mechanical and thermal properties of polymer blends (HDPE and PP) by incorporating nanofillers, including carbon nanotubes (CNTs), graphene oxide (GO), and silica nanoparticles (SiO₂). The effects of nanofiller concentrations (1%, 2%, and 3% by weight) on tensile, impact, and flexural strengths, and thermal stability were investigated. The results showed that adding 2% CNTs increased tensile strength by 50% compared to the unmodified blend. Impact and flexural strengths also improved significantly with the addition of CNTs, while the improvements were less pronounced with GO and SiO₂. Thermal stability was enhanced by all nanofillers, with the CNT and GO composites showing a 25% increase in decomposition temperature compared to the unmodified blend. X-ray diffraction analysis revealed that nanofillers increased the crystallinity of the blends, thereby improving strength and stability. These findings suggest that CNTs, GO, and SiO₂ significantly enhance the mechanical and thermal properties of polymer blends, making them suitable for applications in industries such as automotive, aerospace, and electronics.
Design and Control of a Seaweed Dryer Prototype Powered by Solar and Wind Energy Setiyono Setiyono; Elfitrin Syahrul; Dyah Nur’ainingsih
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026)
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

Seaweed drying is a crucial step in maintaining product quality and shelf life. However, conventional methods still face significant challenges, including high energy consumption, reliance on fossil fuels, and instability in quality due to environmental variability. This research developed a prototype hybrid-powered seaweed dryer that simultaneously utilizes solar and wind energy and is equipped with an automated control system to monitor and regulate temperature and humidity during the drying process. The prototype canoperate in both manual and automatic modes, making it suitable for small-scale production and off-grid environments. Test results demonstrated that the prototype can effectively utilize hybrid renewable energy sources while maintaining adaptive protection and control based on environmental conditions, offering a cost-effective and environmentally friendly solution for small-scale seaweed farmers This article presents measurable results in the form of output voltage, current, and power generated by the solar panel andwind turbine, which demonstrate the capability of the hybrid energy system to supply power for the seaweed dryer. The novelty of this research lies in the integration of dual energy sources with an automated control system, which has not been widely implemented in previous seaweed dryers. This approach improves energy efficiency, lowers operational costs, and offers a sustainable solution for seaweed production, while supporting the development of environmentally friendly drying technologies.
Modeling of Multiple Statistical Distributions for Extreme Rainfall Data Using Maximum Likelihood Estimation Methods and Bayesian Methods Muhammad Marizal; Zahratul Jannah
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 1 (2026)
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.

Page 1 of 2 | Total Record : 16

 1   2 

Filter by Year

2026 2026


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