cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Freddy Kurniawan
Contact Email
freddykurniawan@itda.ac.id
Phone
+62274451263
Journal Mail Official
avitec@itda.ac.id
Editorial Address
Department of Electrical Engineering Institut Teknologi Dirgantara Adisutjipto, Jl. Janti, Blok R, Lanud Adisutjipto, Yogyakarta
Location
Kab. bantul,
Daerah istimewa yogyakarta
INDONESIA
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 10 Documents
 1 
Search results for , issue "Vol 7, No 2 (2025): August" : 10 Documents clear
Aspect-Based Sentiment Analysis on User Perceptions of OVO using Latent Dirichlet Allocation and Support Vector Machine Aprilia, Eka Fahira; Arifiyanti, Amalia Anjani; Sembilu, Nambi
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.v7i2.3035

Abstract

The rapid development of digital technology and the Internet has significantly influenced financial services in Indonesia, leading to the widespread use of digital wallets. One of the most prominent digital wallet platforms is OVO, which has received millions of user reviews across application stores. This study applies aspect-based sentiment analysis to better understand user perceptions from reviews of the OVO application (versions 3.115 to 3.119). A total of 17.086 reviews were collected through web scraping and refined to 4.996 relevant entries. Topic modeling using Latent Dirichlet Allocation (LDA) identified four main aspects frequently discussed by users: Transaction Efficiency, User Experience, Account Access and Registration, and Balance and Charges. However, automatic aspect labeling using LDA keywords achieved only 11.46% agreement with manual annotations, increasing to 40.60% after keyword refinement. Therefore, manual aspect annotation was adopted as the basis for sentiment labeling. Sentiment labeling was conducted by three annotators based on structured guidelines, achieving a Fleiss’ Kappa score of 0.9915. A classification model was then developed using the Support Vector Machine (SVM) algorithm across six testing scenarios. The best-performing model, using a Linear kernel without ML-SMOTE, achieved a macro-average precision of 0.843, recall of 0.786, and F1-Score of 0.804. These results demonstrate the model’s effectiveness in handling multi-label classification under imbalanced data conditions, particularly for well-distributed aspects such as Transaction Efficiency and User Experience, while highlighting challenges in minority-class detection for aspects such as Account Access and Registration and Balance and Charges.
Enhancing Aspect-Based Sentiment Analysis in Imbalanced Multilabel Datasets using Resampling and Classifiers for Digital Signature Applications Narendra, Efriza Cahya; Arifiyanti, Amalia Anjani; Sugata, Tri Luhur Indayanti
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.v7i2.3023

Abstract

Amid the growing demand for digital identity solutions, applications like Privy, VIDA, and Xignature offer integrated digital signature and e-stamp services, generating extensive user feedback on platforms like Google Play Store and App Store. Extracting meaningful insights from thousands of reviews is challenging, necessitating effective sentiment analysis. Aspect-Based Sentiment Analysis (ABSA) enables detailed sentiment evaluation by linking user feedback to specific aspects and sentiments. However, ABSA faces challenges with imbalanced datasets where label distributions are uneven. This study explores the application of three resampling techniques, including MLROS, MLSMOTE, and REMEDIAL, to address this issue in multilabel classification. Using multilabel classifiers, including Binary Relevance, Label Powerset, and Classifier Chains, the study systematically evaluates their performance. Results reveal that resampling significantly enhances outcomes, with MLROS and Classifier Chains under a 70:30 split achieving the best performance, reducing Hamming Loss to 0.0401 or 95% accuracy. This marks a 34.2% improvement over baseline models without resampling or classifiers. The model generalizes well to unseen data with minimal overfitting, as indicated by validation results. These results underscore the importance of imbalanced data resampling and multilabel classification techniques in advancing ABSA, offering valuable insights for improving sentiment analysis in real-world applications.
A Combined Approach to Safety and Security of IoT by Applying Fault Tree Analysis and Attack Trees with Minimal Cut Sets Karim, Mohammad Rezaul; Kabir, Sohag; Lei, Ci; Lefticaru, Raluca; Abdul Baset, Mohammad
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.v7i2.2918

Abstract

The rapid proliferation of Internet of Things (IoT) systems introduces complex safety and security challenges, as traditional frameworks often treat these aspects separately, overlooking critical interdependencies. This study proposes a unified methodology integrating Fault Tree Analysis (FTA) and Attack Trees (AT) with Minimal Cut Sets (MCS) to holistically assess IoT safety and security. FTA systematically identifies root causes of system failures, while AT models attack vectors and their probabilities. By deriving MCS—minimal combinations of safety faults and security breaches—the approach reveals critical scenarios where failures and attacks interact, enabling prioritized mitigation. Applied to a real-world IoT dataset (BoTNeTIoT-L01), the framework identified key vulnerabilities, such as Data_Corruption (safety probability: 0.005) linked to Mirai attacks (security probability: 0.01), demonstrating how integrated MCS enhance risk visibility. Quantitative analysis (mean safety: 0.005, variance: 0.000006) confirmed the methodology’s effectiveness in capturing interdependencies across IoT layers (Perception, Network, Data Processing, Application). Results emphasize that combined safety-security analysis prevents isolated risk assessments, offering actionable insights for resilient IoT design. The study concludes that integrating FTA-AT-MCS bridges existing gaps in IoT dependability, enabling targeted resource allocation and adaptive strategies against evolving threats. This approach advances IoT ecosystems’ safety, security, and trustworthiness in interconnected environments.
A Multilingual Approach to Aspect-Based Sentiment Analysis on Gobis Suroboyo Application Reviews using LDA and SVM Puspitasari, Dianita; Wahyuni, Eka Dyar; Permatasari, Reisa
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.v7i2.3033

Abstract

The GOBIS application, developed by the Surabaya City Transportation Department, is a digital service designed to provide public transportation information and reduce traffic congestion. Despite having exceeded 100,000 downloads, the application has received numerous complaints from users, as reflected in the multilingual reviews on its platform. To ensure analytical consistency, this research focuses solely on reviews in Indonesian and English. Using Aspect-Based Sentiment Analysis (ABSA), this study employs Latent Dirichlet Allocation (LDA) for aspect identification and Support Vector Machine (SVM) for sentiment classification. The aim of this research is to determine the dominant aspects in user feedback and evaluate the effectiveness of the Support Vector Machine (SVM) model in classifying multilingual reviews. The research results show six main aspects that frequently appear in reviews, namely Application Features and Development, User Suggestions and Service Innovation, Error and Location Accuracy, Delay and Application Usability, Comfort and Service Quality, as well as Route Tracking and Vehicle Information. The Support Vector Machine (SVM) model, tested with 10-fold cross-validation, demonstrates consistent performance, achieving balanced metrics accuracy (74.16%), precision (73.76%), recall (73.54%), and F1-score (73.63%). This highlights its capability in handling multilingual sentiment analysis for application improvement.
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.

Page 1 of 1 | Total Record : 10

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol 8, No 1 (2026): February Vol 7, No 3 (2025): November (Special Issue) Vol 7, No 2 (2025): August Vol 7, No 1 (2025): February Vol 6, No 2 (2024): August Vol 6, No 1 (2024): February Vol 5, No 2 (2023): August Vol 5, No 1 (2023): February Vol 4, No 2 (2022): August Vol 4, No 1 (2022): February Vol 3, No 2 (2021): August Vol 3, No 1 (2021): February Vol 2, No 1 (2020): Februari 2020 Vol 2, No 2 (2020): August Vol 2, No 1 (2020): February Vol 1, No 1 (2019): Agustus 2019 Vol 1, No 1 (2019): August More Issue