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Risanuri Hidayat
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Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No 2. Kampus UGM Yogyakarta 55281
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Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Published by Universitas Gadjah Mada
ISSN : 23014156     EISSN : 24605719     DOI : 10.22146/jnteti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, Power Distribution, Power Conversion, Protection Systems, Electrical Material 3. Signals, Systems, and Electronics: Digital Signal Processing Algorithm, Robotic Systems and Image Processing, Biomedical Instrumentation, Microelectronics, Instrumentation and Control 4. Communication Systems: Management and Protocol Network, Telecommunication Systems, Wireless Communications, Optoelectronics, Fuzzy Sensor and Network
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 667 Documents
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Sistem Irigasi dan Pemupukan Cerdas Berbasis IoT dengan Integrasi Cloud Database Dani Rofianto; Eko Win Kenali; Khusnatul Amaliah; Jaka Fitra; Halim Fathoni; Tiara Kurnia Khoerunnisa; Hevia Purnama Sari
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 1: Februari 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i1.23124

Abstract

Internet of Things (IoT)-based smart agriculture provides an innovative solution to enhance the efficiency and sustainability of agricultural production amid challenges such as water scarcity, inefficient fertilization, and climate variability. This study developed an IoT-based smart irrigation and fertilization management system integrated with the Firebase Realtime Database for real-time monitoring and control. The system combined soil moisture, air humidity, and temperature sensors with an ESP32 microcontroller, enabling automatic and manual decision-making based on environmental conditions. Users could interact with the system via a responsive web dashboard that provided both data visualization and manual control. System testing conducted in a greenhouse environment demonstrated stable and accurate data acquisition, with average readings of 27.91°C for temperature, 74.75% RH for air humidity, and 71.31% for soil moisture, within ±2.3% of analogue measurements. The relay actuation response time was less than 1 s, while Firebase synchronization achieved over 98% reliability during continuous operation. Additionally, the system achieved 20% water savings compared to manual irrigation methods and successfully controlled fertilizer distribution and exhaust ventilation to stabilize humidity. These results confirm that the proposed system supports real-time, precise, and energy-efficient control, suitable for small to medium-scale agricultural applications, especially in areas with unstable internet connectivity. This research establishes a strong foundation for future integration with AI-based systems, such as fuzzy logic and machine learning, to enable fully autonomous, adaptive precision agriculture.
Voice Command Recognition Using CNN-LSTM Parallel Architecture Santoso; Tri Arief Sardjono; Djoko Purwanto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 1: Februari 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i1.23855

Abstract

A parallel convolutional neural network–long short-term memory (CNN–LSTM) architecture is introduced for voice command recognition, designed to simultaneously extract spatial and temporal features from speech signals. Conventional serial architectures process these components sequentially, which can lead to the loss of temporal information after CNN-based spatial compression. This study aimed to improve recognition performance by preserving complementary spectral and temporal representations through parallel feature modeling. In the proposed approach, the CNN branch extracted spectral features from Mel-frequency cepstral coefficients (MFCCs), while the LSTM branch independently modeled long-term temporal dependencies from the same input stream. The outputs from both branches were fused through concatenation to form a comprehensive acoustic representation enhancing discrimination between phonetically similar commands. The model was trained and evaluated using a dataset containing eight classes of spoken commands. During training, the proposed model achieved a loss of 0.0186 and an accuracy of 99.87%, indicating effective learning. On the validation and test datasets, the model reached an accuracy of 89.16%, demonstrating stable convergence and consistent generalization performance. Evaluation using precision, recall, and F1 score metrics confirmed balanced recognition across classes, with particularly high accuracy for commands such as “stop,” “right,” and “yes,” while “go” and “no” showed lower accuracy due to acoustic similarity. In conclusion, the proposed parallel CNN–LSTM architecture effectively integrates convolutional and recurrent learning, resulting in improved recognition accuracy and robust performance with strong potential for real-time voice control and embedded applications.
Implementation Smart Contract on E-Voting System for Secure and Transparent Student Election Hussain Abdillah Tugas Kelarno; Widi Widayat
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 1: Februari 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i1.23865

Abstract

Traditional paper-based voting system for student organization leaders election has issues related to security, transparency, and trust. This research addressed these issues by implementing a blockchain on e-voting system utilizing smart contracts to ensure the security and transparency of the voting process. The system was developed using the agile software development life cycle (SDLC) methodology and was tested using black-box and system usability scale (SUS) method to evaluate its functionality and usability. Security testing was conducted through unit testing on the smart contract and block verification within the Sepolia network. The results showed that the decentralized e-voting system could prevent vote manipulation and detecting duplicate voters, as evidenced by the unit testing of the smart contract, which confirmed that recorded votes could not be manipulated and attempts to submit multiple votes were detected and rejected. Meanwhile, system transparency was demonstrated through direct verification using a block explorer, showing that the entire voting process and the smart contract code were publicly accessible and transparent. The system was successfully simulated on a small scale within a student organization, and usability testing using the SUS method was conducted with 30 respondents. The test resulted in a score of 72 points, indicating that the system was in the good category and was well accepted by users. Therefore, the decentralized approach in this e-voting system has been proven to enhance transparency and overcome the problems of security issues in the voting process.
Geolokasi Nirkabel Graf Faktor RSS Mencapai Tingkat Akurasi MilimeterWave pada 6G Muhammad Reza Kahar Aziz; Heriansyah; Syanne Octavia Mabuka; Muhammad Wahyu Fajrilah; Efa Maydhona Saputra; Anita Pascawati; Ardiansyah Musa Efendi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 1: Februari 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i1.23919

Abstract

Artikel ini membahas teknik geolokasi nirkabel yang menggunakan factor graph (FG) atau graf faktor berbasis received signal strength (RSS). Pentingnya menurunkan suatu teori batas (bound) adalah untuk melihat efektivitas dan validitas dari sebuah teknik yang ditemukan serta untuk memperbesar peluang inovasi suatu teknologi. Di dalam artikel ini, Cramer-Rao lower bound (CRLB) didapatkan dari penurunan matriks Jacobian, yang terletak di dalam Fisher information matrix (FIM). Kemudian, formula tersebut, yang terletak di dalam function node (simpul fungsi) utama dari FG berbasis RSS (RSS-FG), memiliki informasi hubungan antara RSS dan koordinat target. Selain itu, artikel ini juga diperkaya dengan investigasi berbagai skenario luas grid monitoring spot sebagai teknik geolokasi RSS-FG dalam mencapai akurasi yang diharapkan oleh 6G, yaitu tingkat 1 cm di lingkungan milimeterWave (mmWave). Hasil simulasi menunjukkan bahwa CRLB yang telah diturunkan memiliki tingkat akurasi yang paling tinggi, sehingga valid untuk menjadi bound bagi teknik geolokasi berbasis RSS-FG tersebut. Hal ini ditunjukkan dengan nilai kurva root mean squared error (RMSE) yang paling rendah untuk CRLB. Teknik RSS-FG ini pun dapat mencapai akurasi 1 cm dan juga mencapai CRLB di sekitar signal-to-noise ratio (SNR) lebih besar atau sama dengan 20 dB untuk skenario luas grid m × 1 m. Temuan lainnya menunjukkan bahwa variasi frekuensi tidak begitu memengaruhi akurasi teknik RSS-FG. Artikel ini diharapkan dapat memberikan pemahaman yang mendalam dan jelas mengenai teknik geolokasi nirkabel berbasis FG dengan masukan ke sistem berupa hasil pengukuran RSS.
Test-First Protocol for Deriving Unit Tests from Use Case Specifications Muhammad Ridho Kurniawan Pratama; Deni Utama; Rauhil Fahmi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 1: Februari 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i1.24073

Abstract

Early and systematic derivation of unit test scenarios remains challenging in software engineering, particularly in aligning functional requirements with executable tests. Graduate-level observations reveal that most students operate without granular traceability, standardized structures, or alternate flow testing. This study explored a structured test-first protocol that transformed use case specifications into coverage-aware test scenarios by applying object-oriented analysis and design principles. The protocol integrated sequence diagrams via behavioral modeling. Internal logic was extracted from sequence diagrams and visualized using control flow graphs. Basis path testing identified independent paths, serving as foundations for deriving unit test cases using the arrange-act-assert pattern. The “Pay the Order” use case in a hypothetical e-commerce system demonstrated the feasibility of the protocol. Cyclomatic complexity analysis yielded a complexity of 2, indicating that two independent test paths were required for complete coverage. The protocol successfully derived two-unit test cases with 100% basis path coverage, demonstrating complete traceability from functional requirements to unit test scenarios with one-to-one mapping between control flow paths and test cases. Results highlight the protocol’s ability to support early verification and validation processes. Unlike prior works focused on automated system-level test generation, this protocol offers a lightweight, human-centric approach promoting testability, traceability, and strong semantic alignment between requirements and implementation. The protocol is well-suited for educational settings and environments that prioritize traceability. Future research should pursue empirical validation, scalability investigations, semi-automated tool development, domain generalization across paradigms, and longitudinal impact assessment.
Parameter Optimization of Battery Energy Storage System Considering Degradation Using Reinforcement Learning Muhammad Dzaky Ashidqi; Windasari, Silviana; Rahmat, Rahmat; Probokusumo, Probokusumo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 1: Februari 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i1.24882

Abstract

Accurate and sustainable operation of battery energy storage systems (BESS) is critical for supporting renewable energy integration, ensuring both short-term reliability and long-term asset preservation. This study proposed a reinforcement learning (RL)-based scheduling framework designed to minimize power mismatch while mitigating degradation in lithium-ion batteries. The framework dynamically adapted to fluctuations in photovoltaic generation and residential load, enabling real-time decision-making. The performance was evaluated over a 30-day horizon using three indicators: average power mismatch, cumulative capacity loss, and system stability index (SSI). Results demonstrated that the proposed method achieved near-perfect load balance with an average mismatch of only 0.002 kW, while cumulative degradation remained limited to 0.22% and SSI was maintained at 0.96, reflecting high operational stability. The estimated daily degradation rate of 0.0073% corresponded to an annual capacity loss of approximately 2.7%, significantly lower than the 5–6% typically observed in uncontrolled cycling scenarios. Comparative analysis with simulated annealing (SA) and multi-objective genetic algorithm (MOGA) highlighted the balanced performance of the RL method. While MOGA eliminated mismatch at the expense of excessive degradation (0.60%) and simulated annealing reduced degradation but suffers from high mismatch (0.012 kW), the RL framework delivered the most balanced trade-off across all metrics. These findings confirm the potential of RL as a practical and sustainable strategy for PV–BESS integration, providing both technical resilience and extended battery lifetime.
Virtual Inertia Control Topology Addressing Indonesia’s Low-Inertia Renewable Grid Resilience Challenge F. Danang Wijaya; Fikri Waskito; Eka Firmansyah; Juan C. Vasques
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 4: November 2025
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i4.25234

Abstract

The increasing penetration of renewable energy sources in Indonesia, particularly photovoltaic (PV) systems, into electric power grids has led to a reduction in system inertia, potentially compromising frequency stability during disturbances. This paper proposes a virtual inertia control method for single-phase rooftop PV inverters to enhance frequency response in low-inertia microgrids. A single-phase synchronverter model based on the swing equation was developed and tested on the IEEE 13-bus system. Three scenarios were evaluated: a solar-only microgrid, a wind-integrated microgrid, and a microgrid combining renewable sources with a synchronous generator. Simulation results demonstrated that the proposed virtual inertia method improved frequency and voltage stability, closely mimicking the response of traditional synchronous generators. Within the first 10 s following a disturbance, the system failed to restore its frequency to the nominal value due to insufficient inertia in the inertial response time range. This indicates that the initial 10 s are a critical period for frequency recovery. The poorest frequency response was observed in scenario 1 (solar-only configuration), where system inertia was the lowest among the three scenarios, while the hybrid configuration with a synchronous generator (scenario 3) provided the most stable and robust frequency performance. The findings support the recommendation to implement policies requiring rooftop PV systems to incorporate virtual inertia functionalities, ensuring greater system resilience as renewable energy penetration increases.

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