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Freddy Kurniawan
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Department of Electrical Engineering Institut Teknologi Dirgantara Adisutjipto, Jl. Janti, Blok R, Lanud Adisutjipto, Yogyakarta
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Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC)
Published by Institut Teknologi Dirgantara Adisutjipto
ISSN : 26852381     EISSN : 27152626     DOI : 10.28989/avitec
Core Subject : Science, Engineering,
Aerospace Engineering Computer Science & IT Electrical & Electronics Engineering Engineering
This journal is the scientific publications journal published by Department of Electrical Engineering, Sekolah Tinggi Teknologi Adisutjipto. It aims to promote and disseminate the research finding in the development of management theories and practices. It will provide a platform for academicians, researchers, and practitioners to share their experience and solution to problems in different areas of journal scopes. Every submitted paper will be blind-reviewed by peer-reviewers. Reviewing process will consider novelty, objectivity, method, scientific impact, conclusion, and references.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 142 Documents
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Feasibility Test Based on Insulation, Ratio and Internal Protection for 20 MVA Power Transformer of 150/20 kV Substation Ramadhan, Fajar Bagus; Haddin, Muhamad
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 2 (2025): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i2.2901

Abstract

The problems that occur in 20 MVA power transformers are insulation feasibility issues, voltage regulation and internal relay malfunctions. The impact is to cause a degradation of transformer reliability. The solution is how to ensure the feasibility of the transformer by evaluating the transformer feasibility test including the insulation subsystem, voltage ratio, and internal relay. This research discusses the feasibility of a 20 MVA transformer based on insulation, voltage ratio and internal relay. The model is a set of 20 MVA transformer GI 150 kV. The test method is carried out using polarization index, tangent delta, breakdown voltage, voltage ratio and sudden pressure relay function test. The references of all test methods are IEEE Std 62-1995 standard for polarization index, CIGRE TB 445 for tangent delta, IEC 60156-02-1995 for breakdown voltage, IEEE C57.125.1991 standard for voltage ratio and internal relay test validated using Proteus application. The test methods proved effective for evaluating the 20 MVA transformer feasibility test. This is evidenced by the worst value of 1.06 in testing the polarization index of the secondary to tertiary winding. Then 0.53% of tap voltage ratio 17 phase T and 0.58% of tap voltage ratio 18 phase T. The internal relay works as it should. The results obtained, the transformer is in an unfit condition and there needs to be further investigated so that it can be normally operated.
Feedforward–Feedback Fuzzy-PID Water Level Control using PLC and Node-RED IoT Sunarya, Adhitya Sumardi; Suryatini, Fitria; Nuryanti, Nuryanti; Harist M, Abdur Rohman; Anaisabury, Gailan
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 2 (2025): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i2.3066

Abstract

Water level control is vital in industrial processes to maintain operational stability and efficiency, especially against varying disturbances like changes in water inflow and outflow. This research proposes a combined feedforward–feedback control system using a Fuzzy-PID algorithm implemented on an Omron CP1H PLC, integrated with an IoT-based Node-RED monitoring interface. The system is designed to improve response accuracy and disturbance recovery in water level control applications. An experimental method was used to evaluate the performance of the proposed control system against conventional single-feedback control under varied disturbance scenarios. The results indicate that the combined control achieved a lower average steady-state error (0.67%) compared to feedback-only control (1.12%), faster recovery time (3 seconds vs. 6.3 seconds), and no overshoot. The integration of flow sensors as feedforward inputs enabled earlier detection and correction of disturbances before they impacted the water level. Additionally, the Node-RED interface allowed real-time monitoring and remote control, enhancing usability and supporting Industry 4.0 standards. While the system demonstrated improved stability and responsiveness, some oscillations remained due to sensor signal noise, suggesting a need for improved filtering techniques. This study contributes a practical and scalable solution for adaptive water level control, combining intelligent control strategies with IoT capabilities. It offers a foundation for future implementations in dynamic industrial environments that demand high reliability and remote accessibility.
Aircraft Acquisition Post-Pandemic: Human vs. AI Perspectives using Multi-Criteria Decision Methods Prasetya, Rizki Akbar; Hidayatno, Akhmad
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 2 (2025): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i2.2955

Abstract

In the post-pandemic era, Indonesia’s commercial airlines are under increasing pressure to expand their fleets in response to a sharp rebound in passenger demand. While traditional aircraft acquisition decisions have relied heavily on expert judgment, recent advancements in artificial intelligence (AI) and decision support systems have introduced new possibilities for enhancing strategic evaluations. This study contributes to the growing body of research on AI-assisted decision-making by comparing human expert assessments with AI-generated recommendations in selecting new aircraft. Using a hybrid multi-criteria decision-making (MCDM) framework that integrates the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), we assess eight aircraft models across six key criteria: aircraft price, seating capacity, maximum take-off weight (MTOW), cargo capacity, range, and cost per available seat mile (CASM). Our findings reveal subtle differences in how humans and AI assign weights to each criterion. However, a Mann-Whitney U test (p = 0.689) confirms that these differences are not statistically significant. Notably, both approaches converge on the same optimal choice—the A321neo—highlighting the potential of AI to augment, rather than replace, human decision-making in complex procurement scenarios.
UI/UX Redesign of the ‘GOBIS’ Public Transportation Application in Surabaya using the Design Thinking Method Barmin, Aidah Maryam; Wati, Seftin Fitri Ana; Mukhlis, Iqbal Ramadhani
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 2 (2025): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i2.3017

Abstract

GOBIS is one of the public transportation applications launched by the Surabaya City Government in 2018. However, in the use of GOBIS there are still various problems, A pre-evaluation using the System Usability Scale (SUS) with 20 respondents yielded a score of 45.15—well below the average of 68 and classified as ‘very poor. This study uses the design thinking method with 5 stages, namely empathize, define, ideate, prototype, and testing. Testing on the prototype results involved 5 respondents using the System Usability Scale (SUS) method and maze.co tools to get task results automatically. As a result, this new UI/UX design has gone through usability testing using maze and produced a score of 93/100 and an increase in the SUS score from 45.152 to 82, which is a good category. These results demonstrate that the redesigned interface better aligns with user needs and is more user-friendly, achieving a 36.85-point increase in SUS.
Hand Gesture-Based Human-Computer Interaction using MediaPipe and OpenCV Putri, Risma Dwi Tjutarjo; Lasmadi, Lasmadi; Kusumaningrum, Anggraini; Nurdin, Riani; Astuti, Yenni
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 2 (2025): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i2.3132

Abstract

This study presents the design and implementation of a real-time hand gesture recognition system for directional movement using MediaPipe and OpenCV. The system aims to enhance Human-Computer Interaction (HCI) by recognizing four primary hand gestures—forward, backward, left, and right—based on real-time video input from a standard webcam. The proposed method extracts 21 hand landmarks using MediaPipe, then analyzes landmark displacement to determine the direction of movement. Experiments were conducted under three lighting conditions (bright, moderate, dim) and at three distances (200 cm, 300 cm, and 450 cm). Results show that the system achieved 100% recognition accuracy for all gestures at 200 cm. At 300 cm, accuracy slightly decreased, particularly for backward gestures (down to 77.5%). At 450 cm, performance dropped significantly, with accuracy for some gestures falling below 30%, especially under dim lighting. These findings demonstrate that the proposed system performs reliably at short to medium distances and is sensitive to lighting conditions and user proximity. This research contributes to the development of touchless interfaces for smart environments, presentations, and other interactive applications.
Wearable IoT Device for Real-Time Heart Rate and Body Temperature Monitoring Rafiif, Muhammad; Taqwa, Ahmad; Salamah, Irma
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 2 (2025): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i2.3076

Abstract

Heart disease remains one of the primary causes of death worldwide, largely due to sedentary lifestyles and the lack of continuous health monitoring. Many existing wearable health systems fail to provide real-time alerts or offer seamless integration between hardware, cloud platforms, and user interfaces. This study proposes a fully integrated Internet of Things (IoT)-based wearable device for real-time monitoring of heart rate and body temperature. The system utilizes an ESP32 microcontroller combined with MAX30102 and DS18B20 sensors and transmits physiological data via Wi-Fi to the Adafruit IO cloud platform using the MQTT protocol. A custom Android application developed using a low-code environment provides real-time visualization and alert notifications when user-defined thresholds are exceeded. Comparative testing against standard medical devices showed an average error of 1.99% for heart rate and 2.32% for body temperature, demonstrating reliable performance for non-clinical, preventive health monitoring. Unlike previous works, this system offers end-to-end integration, enabling real-time feedback, continuous data access, and user-friendly interaction. Future developments will focus on improving sensor calibration, enhancing ergonomic design, and incorporating advanced features such as historical data tracking and AI-based health alerts.
A Systematic Review of Surgical Robots and Controls for Teleoperations Assan, Kojo Nyamekye; Wayoe, Phyllis Teteki; Ayiku, Christabel Naadu; Aku, Agbemor Dzifa; Quagraine, Herbert
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 3 (2025): November (Special Issue)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i3.2941

Abstract

The advancements in healthcare technology have transformed the landscape of medical practice, with robotics emerging as a prominent feature. The use of teleoperation, particularly in remote robot-assisted surgeries, has obtained significant attention and acclaim for its potential to enhance surgical outcomes and expand access to specialized care. Despite the increase in research in this domain, there remains a need for a thorough and systematic review to consolidate the diverse findings and conclusions. This work presents an organized synthesis of existing related works using Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA), facilitating easier access to vital information for researchers, practitioners, and innovators. To achieve this, the historical development of surgical robots were explored. Furthermore, different types of surgical robots with various architecture were extensively examined to highlight the relevance of their application. Imperatively, advancements in teleoperability and control systems of surgical robots were comprehensively discussed underscoring its growing influence in current healthcare delivery. Moreover, practical challenges faced by teleoperated surgical robots were highlighted and elaborated to point out their limitations. Additionally, future directions aimed to tackle the identified shortfalls in robotic surgery and teleoperation were considered. In this regard, this work provided an impactful contribution that positively influences growth in the area of robotic surgery and teleoperation by consolidating several insights into a cohesive framework which ultimately seek to improve patient care.
Speed Control Analysis of Frequency Changes in Three Phase Synchronous Motor with Variable Speed Drive (VSD) Lasmana, Lasmana; Musyaffa, Muhammad Aziz; Taryo, Taryo
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 3 (2025): November (Special Issue)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i3.3153

Abstract

This study investigates the impact of frequency adjustment using a Variable Speed Drive (VSD) on the performance of a three-phase AC synchronous motor under both no-load and load conditions. Energy inefficiency in industrial systems often results from mismatches between motor speed and load demands. The motor was tested at frequencies ranging from 20 Hz to 50 Hz to evaluate changes in speed, input power, torque, and efficiency. Unlike previous studies that focused solely on motor speed, this research provides a more comprehensive performance analysis. The results show that increasing frequency leads to higher motor speed and power consumption, but a decrease in torque. Under no-load conditions, speed increased from 607 RPM at 20 Hz to 1506 RPM at 50 Hz, while torque dropped from 1.57 Nm to 0.63 Nm. Under load, speed increased from 88 RPM to 683 RPM, and torque declined from 10.9 Nm to 1.39 Nm. Although motor efficiency decreases at higher frequencies due to increased magnetizing current caused by the constant V/f ratio, it must be emphasized that VSDs can significantly enhance energy efficiency by allowing the motor to operate at an optimal speed according to the load, instead of continuously running at full speed. Therefore, dynamic frequency control based on load variation is essential to optimize motor performance. VSDs thus play a vital role in intelligent control strategies aimed at improving energy efficiency in industrial applications.
Portable ECG Prototype based on Arduino and Random Forest Classification for Home Heart-Rate Monitoring Nugraha, R. Ferdy Akbar; Tindaon, Novendy Alberto Will; Susena, Arya; Duandes, Alfonso; Ridwan, Achmad
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 3 (2025): November (Special Issue)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i3.3144

Abstract

Electrocardiogram (ECG) examination is essential for detecting heart rhythm disorders, yet limited access and high costs often prevent routine medical check-ups for many people. This study addresses these obstacles by designing and developing a portable ECG prototype capable of independent home-based heart monitoring. The system integrates an AD8232 sensor for signal acquisition, an Arduino Uno microcontroller as the main processor, and a simplified Random Forest classification algorithm to distinguish between normal, bradycardia, and tachycardia conditions. Measurement results are saved in CSV format on an SD card, then visualized and analyzed using Jupyter Notebook. The prototype was tested on 100 samples in a static and relaxed state to ensure signal stability. Its heartbeat classification achieved an accuracy of 99.0%, slightly higher than the PTB-XL reference dataset’s 98.0%, and consistent with results reported by recent TinyML- and Random Forest-based ECG studies. Unlike prior IoT-based frameworks, this work combines cost-effective microcontroller hardware with simplified offline on-device classification for practical daily monitoring without continuous cloud access. These findings confirm that the proposed system can produce reliable readings approaching clinical standards while remaining simple, affordable with a component cost under USD 31, and accessible for routine public heart health screening.
Multi-Class Facial Acne Classification using the EfficientNetV2-S Deep Learning Model Pramono, Aldi Yogie; Kusnawi, Kusnawi
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 3 (2025): November (Special Issue)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i3.3157

Abstract

Acne vulgaris is a common dermatological condition that significantly impacts psychosocial well-being, particularly among adolescents and young adults. Accurate identification of acne lesion types is crucial for effective treatment planning, yet manual assessment by dermatologists is subjective and resource-intensive. This study proposes a Convolutional Neural Network (CNN)-based approach using EfficientNetV2-S with transfer learning and data augmentation to perform multi-class classification of five acne lesion types: blackheads, whiteheads, papules, pustules, and cysts. The model was trained and evaluated on 4,673 annotated facial images, achieving an accuracy of 96.66%, outperforming conventional lightweight CNNs and achieving comparable results to heavier ensemble architectures. Statistical validation using p-values and effect sizes confirms the model’s robustness. The scientific contribution of this research lies in the integration of EfficientNetV2-S with a customized classification head optimized for multi-class acne recognition—an area underexplored in dermatological AI research. Unlike previous works focusing on binary classification or ensemble models, our approach offers a lightweight, accurate, and scalable solution for real-world teledermatology, thus establishing a novel benchmark in multi-class acne classification.

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