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Widi Aribowo
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vubeta@unesa.ac.id
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Jl. Prof. Moch Yamin, Ketintang, Kec. Gayungan, Surabaya, Jawa Timur 60231
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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 118 Documents
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Real-Time Pond Water Quality Monitoring Device Design Using Hybrid Wireless Local Area Network And Cellular Technology Hana A R; Hapsari Peni Agustin Tjahyaningtijas; Bambang Suprianto; Lilik Anifah; Muhammad Aamir Nashrullah; Andi Kurniawan Nugroho
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 3 (2026): (In Progress)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

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Abstract

Climate change has increased environmental uncertainty, posing significant challenges to aquaculture sustainability in Indonesia, a coastal country where fishery resources play a vital role in food security and livelihoods. Despite high fish demand, pond productivity continues to decline due to suboptimal water quality management, limited monitoring accessibility, and the high cost of conventional monitoring systems. This study aims to develop a simple and cost-effective real-time pond water quality monitoring system using a hybrid Wireless Local Area Network (WLAN) and Global System for Mobile Communications (GSM) architecture. Water quality data were obtained through continuous measurements of pH, total dissolved solids (TDS), and water temperature using integrated sensors connected to an Arduino Uno R4 WiFi. The collected data were transmitted in real time via a hybrid WLAN–GSM communication system to enable remote and continuous monitoring. Experimental results show that the system achieved accuracy rates of 94.31% for temperature, 94.91% for TDS, and 98.13% for pH measurements. These results indicate that the proposed system performs reliably and can support effective pond management to optimize fish growth and enhance aquaculture productivity.
Comparing Transformer-Based Sentiment Models for Technical-Filtered Trading Signal Generation on NASDAQ-100 Stocks Rifki Ainul Yaqin; Ignatius Wiseto Prasetyo Agung; Toni Arifin; Erfian Junianto
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 3 (2026): (In Progress)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

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Abstract

Predicting stock price movements remains challenging due to nonlinear, dynamic market behavior. News sentiment and technical indicators (RSI, moving averages) each show predictive value, but few studies integrate both within a single, robustly validated framework. This study proposes an algorithmic trading framework integrating daily news sentiment from four pre-trained transformer models (ProsusAI/finbert, nlptown/bert-base-multilingual-uncased-sentiment, yiyanghkust/finbert-tone, and soleimanian/financial-roberta-large-sentiment) with RSI and moving average filters to generate buy signals on 30 NASDAQ-100 stocks. Beyond standard backtesting, the framework is validated through five analyses: benchmark comparison, exit-rule sensitivity, look-ahead-bias alignment, statistical testing, and walk-forward validation. Over a 2-year simulation (57,434 news articles), buy signals were triggered when RSI fell below 40, price pulled back 0.5–5% below MA20, and price remained within 10% above MA50, with entry on day i+1 and a profit-triggered exit. All four models produced positive cumulative returns (123.33–187.84%, Sharpe Ratio 2.00–2.73), remaining profitable under transaction costs up to 0.3% per trade. Benchmarking showed roughly half the Maximum Drawdown of naive baselines despite lower raw returns, favoring selectivity over return maximization. The stop-loss/take-profit variant substantially reduced performance, while stricter news-timestamp alignment left results robust (Sharpe Ratio above 1.5). Statistical tests found three of six model-pair differences significant at the 5% level, though the two top-performing models are statistically indistinguishable (p = 0.546). Out-of-sample evaluation confirmed profitability in the most recent test segment, with acknowledged sub-period variability. These findings position news sentiment as an effective, risk-disciplined complement to technical analysis, with model selection depending on investor priorities.
Analyzing Thermodynamic Modeling and Phase Stability in Ultra-High-Temperature Ceramics for Space Exploration: A Review Hayder Abdulhasan Lafta; mustafa mansour; Alaa M. Lafta
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 3 (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.v3i3.52866

Abstract

Considering that the theme still lacks activity on issues related to the thermodynamic evaluation of UHTCs based on a comprehensive approach, the main objective of this review is to analyze the thermodynamic modeling of different types of UHTCs using the CALPHAD techniques and tools to ensure the presence of high-temperature properties, such as high melting points, high hardness, thermal shock resistance, etc. These properties are necessary requirements for UHTCs to be used for high-temperature aerospace missions and scientific instrumentation. Besides, our target is to evaluate the phase relationships in both the Zr/B, Hf/B, Ta/B, and Mo/B systems, as well as the Zr/C, Hf/C, Ta/C, Mo/C, and Zr/Hf/(Ta,Mo)/C systems. This evaluation aims to give new impetus to experimental research for new UHTCs in the above-mentioned binary and ternary systems to optimize the phase relations. It is important to note that the searches of systems using the CALPHAD technique for these systems are not included in the most known databases, and there is a current lack of experimental data in the Zr/Hf/(Ta,Mo)/C system. To achieve concrete accomplishments, the technical and specific aim of this review is to evaluate the thermodynamic properties, such as data of formation and heat capacity, and Gibbs energy of formation, as well as phase stability in various systems based on ZrC, HfC, TaC, MoC, and UHTCs. This evaluation will be done utilizing the CALPHAD techniques, such as calculations of activities of binary and ternary systems and section-type mapping of the phase equilibria.
An Efficient IND-CCA2-Secure Certificateless Public Key Encryption Scheme with Cryptographic Reverse Firewalls Lukman Umar Faruk; Muhammad Bashir Abdulrazaq; Zainab Mukhtar Abubakar; Zahruddeen Haruna; A Umar; Nafisa Shehu Usman; Hassan Maharazu
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 3 (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.v3i3.52993

Abstract

Secure communication in Internet of Things (IoT), cloud computing, and peer-to-peer environments requires efficient cryptographic schemes resilient to advanced threats. Public Key Infrastructure (PKI) incurs certificate management overhead, while Identity-Based Encryption (IBE) introduces key escrow. Certificateless Public Key Encryption (CL-PKE) addresses these limitations, but existing constructions integrating Cryptographic Reverse Firewalls (CRFs) remain computationally expensive and lack IND-CCA2 security guarantees. This study develops an optimized CL-PKE-CRF scheme using a single-element public key, sender-side precomputation of pairing operations, and independent per-user randomization through a Key Derivation Function (KDF) at the Key Generation Center (KGC). The scheme was implemented using Charm-Crypto and evaluated over 1,000 iterations at 128-, 192-, and 256-bit security levels. Compared with the baseline, it reduced computational overhead by approximately 25% and communication costs by 33%, while subsequent encryption latency decreased by 76.6% for repeated operations. Simulated evaluations reported adversarial advantage below 0.004, 100% decryption correctness, and no observed information leakage across the tested compromise scenarios. A formal IND-CCA2 security reduction under the Computational Bilinear Diffie-Hellman (CBDH) assumption in the random oracle model is also presented. These findings demonstrate improved efficiency and resistance to exfiltration attacks, supporting secure communication in resource-constrained environments.
Virtual Synchronous Generator Control Strategies For Low-Inertia Power Systems: A Comprehinary Review Sabo Aliyu; Olutosin Adebayo Ogunleye; Uzoma Joseph Ebuka; Ibrahim Danlami Akabe; Ozioko Ugochukwu Jerald; Noor Izzri Abdul Wahab
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 3 (2026): (In Progress)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

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Abstract

The increasing penetration of renewable energy sources has reduced rotational inertia in modern power systems, causing frequency instability and weakened grid strength. Virtual Synchronous Generators (VSGs) have emerged as a leading grid-forming control strategy that enables power converters to emulate synchronous machine behavior. The problem is that reduced inertia threatens grid stability through higher rates of change of frequency and deeper frequency nadirs. The solution is VSG control strategies that embed the swing equation into converter loops to provide synthetic inertia and damping. This paper systematically classifies existing VSG approaches based on control philosophy, modeling frameworks, and parameter tuning strategies, identifying key research gaps. The study examines dq-frame modeling, impedance-based stability analysis, and small-signal eigenvalue techniques. Results show that voltage-controlled VSG and synchronverter approaches provide the strongest grid-forming capability, while current-controlled VSG offers superior current limiting. Impedance-based analysis reveals stability margins depend critically on the impedance ratio between VSG and grid, particularly in weak-grid conditions. Major challenges include inertia–damping trade-offs, parameter tuning inconsistencies, multi-converter interactions, and weak-grid instability. The conclusion is that future research must focus on adaptive control frameworks, hardware validation, and standardized benchmarking systems for widespread practical deployment.
Two-Area Load Frequency Control Using Hybrid PSO-Fuzzy Logic Controller in a Renewable Integrated Nigerian Grid Joseph Uzoma; Aliyu Sabo; Ugochukwu Jerald Ozioko; Sesugh Abednigo Nyam; Olutosin Adebayo Ogunleye
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 3 (2026): (In Progress)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

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Abstract

Frequency stability in interconnected power systems is increasingly challenged by the growing penetration of renewable energy sources, which introduce variability and uncertainty into generation. This issue is particularly evident in the Nigerian grid, where disturbances significantly affect system dynamic performance. This study presents a hybrid Particle Swarm Optimization–Fuzzy Logic Controller (PSO–FLC) to improve load frequency control (LFC). The approach combines the adaptability of fuzzy logic with the optimization capability of PSO to achieve better dynamic response. A two-area power system model with non-reheat turbine and governor dynamics was developed in MATLAB/Simulink, integrating solar generation in one area and wind generation in the other. A 0.2 p.u. load disturbance was applied to assess system performance. The controller uses Area Control Error (ACE) as input, while PSO is employed to tune the scaling factors by minimizing the Integral of Time-weighted Absolute Error (ITAE). Performance was compared with no control, conventional PI control, and standalone fuzzy logic control. Results show that the PSO–FLC significantly improves system response. Peak undershoot is reduced from 11.25 × 10⁻⁴ to 8.10 × 10⁻⁴, and settling time decreases from over 10 s to about 3.9 s. The proposed method eliminates steady-state error, enhances damping, and reduces oscillations in both areas, while also minimizing tie-line power fluctuations. These findings demonstrate that PSO–FLC is an effective and robust solution for frequency regulation in renewable-integrated systems, with strong potential for improving the stability of the Nigerian power grid.
Phishing Email Detection Using Large Language Models and Explainable Artificial Intelligence Zainab Mohammed Ali; Zainab Shaker Matar Al-Husseini
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 3 (2026): (In Progress)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

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Abstract

Phishing is a significant issue in cybersecurity; nowadays, with the help of generative artificial intelligence, attackers are capable of creating very convincing fake emails at large scale, which overwhelms traditional detection mechanisms. This paper suggests a hybrid model consisting of a fine-tuned Bidirectional Encoder Representations from Transformers model and a SHapley Additive explanations explainability layer to classify phishing in real-time. The model was trained over 120,000 labeled examples on three benchmark datasets, which were consolidated, with a fourteen-dimensional URL structural feature module added. The proposed framework was able to classify 98.70% of the 12,000-instances test set. Precision and recall were 98.40% and 98.90%, yielding an F1-score of 98.65%. The region below the receiver operating characteristic curve was 0.997. False positive rate was 0.90 which is sufficient to meet enterprise deployment. McNemar testing showed all the improvements greater than six baselines to be statistically significant (p less than 0.0001). In adversarial attacks, the lowest F1-score was 93.80, which is 6.20 percentage points better than the best baseline. The mean accuracy of cross-dataset generalization was 96.70 percent, which is 3.30 percentage points higher than the previous best benchmark. SHapley analysis found the top three discriminative features as URL entropy, sender domain anomaly, and urgency-linguistic patterns. The proposed architecture offers a correct, robust and interpretable phishing detection system; future research will focus on adversarial training and multilingual extension.
Lightweight IoT Encryption Using a Hierarchical DNA–Cellular Automata Cryptosystem with Random Mutations Mircea Ţălu
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 3 No. 3 (2026): (In Progress)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

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Abstract

Resource-constrained Internet of Things (IoT) devices require lightweight cryptographic mechanisms that provide strong security with minimal computational and energy overhead. This study presents a hierarchical Deoxyribonucleic Acid (DNA)–Cellular Automata (DNA–CA) cryptosystem enhanced with biologically inspired random mutations, designed for ultra-low-power IoT nodes. Plaintext data are encoded into DNA (Deoxyribonucleic Acid) sequences, processed through multi-layer cellular automata with dynamic, state-dependent keys, and subjected to controlled pre- and post-encryption mutations to enhance diffusion, entropy, and resistance to differential and statistical attacks. The system was implemented and evaluated on six heterogeneous microcontrollers spanning 8-, 16-, and 32-bit architectures, including ATmega4809-P, dsPIC33CH128MP, MSP430FR6989, STM32L5, nRF52840, and ESP32-C3, representing sensors, industrial controllers, wireless nodes, and edge platforms. Experimental results demonstrate near-ideal Shannon entropy (7.97±0.02 bits/byte), avalanche ≈50.1%, NPCR ≈99.6%, UACI ≈33.0%, key sensitivity ≈50%, and negligible ciphertext correlation (-0.004 < r < 0.006). Memory and energy requirements are modest (4–6 KB ROM, <1.5 KB RAM, microjoule-level energy per encryp-tion). Ablation studies confirm that mutation layers critically enhance entropy, diffusion, and differential resistance. Overall, the hierarchical DNA–CA cryptosystem offers a scalable, energy-efficient, and highly secure lightweight encryption frame-work suitable for heterogeneous IoT deployments.

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