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 153 Documents
 12   13   14   15   16 
Performance Evaluation of Overcurrent Relay Coordination on 20-kV Busbar and Feeders Rizkianto, Ageng; Trihasto, Agung; Pravitasari, Deria; Setiawan, Hery Teguh
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i1.3484

Abstract

The coordination of Overcurrent Relays (OCR) in power systems is crucial to ensure selectivity and reliability. Mis-coordination between OCRs on the 20-kV busbar and feeders can significantly reduce system performance, often due to improper determination of pick-up values and Time Multiplier Setting (TMS). Previous studies mostly focused on protection coordination for a single feeder and relied solely on simulation. This study evaluates OCR coordination on the 20-kV busbar and five feeders connected to the Unit I transformer at Secang Substation by combining manual analysis and Electrical Transient Analyzer Program (ETAP) simulations, validated against IEEE Std 242-2001. This integrated approach provides more reliable insights than earlier works limited to single-feeder coordination or software-only methods. Evaluation was conducted through short-circuit current analysis and Time Current Characteristic (TCC) curves, yielding pick-up and TMS values that produce Coordination Time Intervals (CTI) in compliance with IEEE Std 242-2001. Results indicate that the busbar OCR achieved a pick-up of 0.566 and a TMS of 0.236. For the feeders, SCG 10 achieved 0.27 and 0.173; SCG 03 yielded 0.5025 and 0.147; SCG 05 produced 0.441 and 0.153; SCG 07 yielded 0.35 and 0.165; and SCG 08 achieved 0.5535 and 0.137. Applying these settings produced CTI values exceeding the minimum requirement of 0.3 seconds. This evaluation demonstrates that coordinated OCR settings can improve reliability in 20-kV distribution systems and reduce the risk of widespread outages due to protection failures.
Hyperparameter Tuning of XGBoost for Flooding Attack Detection in SDN-based Vehicular Ad Hoc Networks (VANETs) under Limited Resources Putri, Chairunisa Rahma; Suranegara, Galura Muhammad; Ichsan, Ichwan Nul
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i1.3510

Abstract

Software-Defined Network (SDN) based Vehicular Ad Hoc Network (VANET) infrastructure network enables centralized vehicle control. However, due to its centralized nature, SDN-based VANET is vulnerable to flooding attacks such as Distributed-Denial of Services (DDoS) or Denial of Service (DoS) attacks that can disrupt network availability and endanger traffic safety. This study aims to detect flooding attacks using the Extreme Gradient Boosting (XGBoost) algorithm with a focus on hyperparameter tuning in a limited computing environment to find optimal hyperparameter values for the model. This study uses basic Google Colab with 12 GB RAM with a total dataset of 431,371 entries. The results obtained from this study conclude that hyperparameter tuning achieves optimal performance at n_estimators = 150 and max_depth = 15, resulting in 99.97% accuracy, 99.99% precision, 99.97% recall, and 99.98% F1 score, which proves the effectiveness of the model in detecting flooding attacks. The novelty of this study lies in the application and evaluation of hyperparameter tuning on the XGBoost algorithm in a resource-constrained environment to improve attack detection in SDN-VANET.
CFM56-7B Electronic Engine Control System Performance During Ground Run-Up Test Widuri, Ani; Aritonang, Sovian; Amperiawan, Gita; Putranto, Andy Marjono; Akbar, Lalu Aan Sasaka; Risnawan, Novan
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i1.3415

Abstract

The performance of the Electronic Engine Control (EEC) system is essential for ensuring safe aircraft operation following engine maintenance. This study evaluates the EEC performance of a CFM56-7B turbofan engine during an on-aircraft Engine Ground Run-Up (EGR) test conducted after engine replacement on a Boeing 737-800 Next Generation aircraft. The test was performed under controlled ground conditions in accordance with the Aircraft Maintenance Manual, and key EEC-controlled parameters—including fan speed (N1), compressor speed (N2), exhaust gas temperature (EGT), fuel flow, lubrication parameters, and engine vibration—were recorded using the aircraft’s built-in sensor system. The results indicate that all monitored parameters remained within manufacturer-specified acceptance limits during engine start, idle, Maximum Power Assurance, and static take-off power conditions, demonstrating stable EEC regulation under both transient and steady-state operation. Fuel consumption during the EGR procedure was consistent with the applied power settings, reflecting appropriate fuel scheduling. Comparison with representative test-cell–based studies show similar performance trends, with expected differences in thermal behavior attributable to on-wing installation effects during ground operation. Overall, the findings confirm that on-aircraft EGR testing provides an effective and operationally representative approach for post-maintenance validation of EEC performance, bridging the gap between test-cell evaluations and actual aircraft operation.
Smart Campus Framework for Higher Education Institutions in Tanzania Mongi, Alex Frank
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i1.3407

Abstract

The deployment of smart campus has gained significance globally as Higher Education Institutions (HEIs) strive to  adopt digital technologies for efficient delivery of education and resource management. In achieveing proper deployment, scholars have proposed various features and frameworks for a smart campus of HEIs. However, HEIs around the globe have different needs and priority depending on their context. Establish a context based framework and features, this study examines smart campus features and their applicability in Tanzanian HEIs. It has adopted a trianglation of Systematic Literature Review (SLR) and Survey methods. Through SLR, the study identified 11 key features that various literature associate them with smart campus. Furthermore, though survey method, the study collected opinions from HEIs in Tanzania to test the findings of results that were obtained from SLR. Through ordinal logistic regression, we found that network infrastructure, smart governance, smart people, smart economy, smart living, and smart technology were more likely agreed as significant features of smart campus (p < 0.05), followed by smart education features with slightly large p-value (p = 0.057). Features like smart environment and smart buildings were perceived as not significant features of smart campus in most of HEIs (p > 0.05). Based on these findings, this study proposes a framework for smart campus that is relevant for HEIs in Tanzania.
Explainable Machine Learning Framework for Distributed Denial-of-Service (DDoS) Attack Detection using Comparative Evaluation and SHAP Analysis Riziq, Muhammad Fathur; Ichsan, Ichwan Nul
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i1.3594

Abstract

The proliferation of Distributed Denial-of-Service (DDoS) attacks poses critical threats to network infrastructure, while conventional intrusion detection systems struggle to adapt to evolving attack patterns. Although ensemble learning methods achieve high accuracy on benchmark datasets, their opaque decision-making processes hinder deployment in Security Operations Centers (SOCs). To address this interpretability-performance gap, we propose an explainable machine learning framework integrating comparative benchmarking with quantitative interpretability analysis using the CIC-DDoS2019 dataset. Six supervised algorithms Decision Tree, Random Forest, XGBoost, LightGBM, Multilayer Perceptron, and Naïve Bayes were evaluated under standardized preprocessing protocols including random undersampling (50:50 class ratio), correlation-based feature selection (r > 0.9 threshold), and three-tier validation combining hold-out testing, train-validation splits, and 5-fold stratified cross-validation. LightGBM achieved optimal performance with 99.96% accuracy and F1-score of 0.9996, outperforming simple baselines by 0.35 percentage points while demonstrating superior computational efficiency. Beyond conventional performance metrics, we introduce the Feature Stability Score (FSS), a novel quantitative measure of SHAP-based feature importance consistency across validation folds. Spearman correlation analysis reveals a strong positive relationship between FSS and model robustness measured by cross-validation variance (ρ = 0.857, p = 0.014), establishing that stable feature attributions predict superior generalization. SHAP analysis identifies Flow Duration, Bwd Packet Length Mean, Fwd Packet Length Max, and Flow IAT Mean as dominant attack indicators. This integrated framework demonstrates that combining explainable AI with ensemble learning enables accurate, robust, and interpretable DDoS detection suitable for operational cybersecurity deployments.
Analysis of Policy Based Routing (PBR) and Failover in Dual-WAN Networks Alifi, Daryan Pratama; Ichsan, Ichwan Nul
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i1.3605

Abstract

Reliance on stable and high-speed internet connectivity is crucial for modern business operations. A failure in a single internet link often leads to significant disruptions in productivity. This study designs and implements a Dual-WAN network architecture utilizing Policy-Based Routing (PBR) combined with an automated failover mechanism on a MikroTik router. Unlike prior studies that primarily employ the Per-Connection Classifier (PCC) Load Balancing method to maximize bandwidth aggregation, this research prioritizes session integrity to minimize disruptions in sensitive applications. To validate the proposed method, a comparative analysis was performed against the conventional PCC method. The results indicate that while PCC yields a higher theoretical aggregated throughput (468.5 Mbps), it suffers from a high session drop rate in secure connections. In contrast, the proposed PBR implementation demonstrates superior connection stability with a maximum throughput of 344.25 Mbps on the primary link, alongside a responsive failover mechanism achieving a recovery latency of under 1000 ms with minimal packet loss (1–2 packets). This study concludes that the PBR architecture provides a more reliable solution compared to standard load balancing for Small Office Home Office (SOHO) and SME environments requiring high availability.
Detection of Low Radar Cross Section (RCS) Targets in Sea Clutter Environments using Pulse-Doppler Radar Simulation Djaka, Muhammad Rendra Perdana Kusuma; Mahanani, Edo Lutfi; Al Rasyid, Muhammad Dhafin Sulaiman; Usman, Uke Kurniawan
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i1.3737

Abstract

This paper reports a simulation-based investigation of low-radar-cross-section (low-RCS) maritime target detection using a pulse–Doppler radar operating in K-distributed sea clutter environments. The results indicate that heavy-tailed clutter statistics significantly deteriorate the performance of conventional cell-averaging CFAR (CA-CFAR), particularly under low signal-to-clutter ratio (SCR) and nonhomogeneous clutter conditions. Range–Doppler analysis confirms that coherent Doppler integration and MTI filtering increase target-to-clutter contrast; however, substantial residual clutter persists in rough sea states. A comparative evaluation demonstrates that ordered-statistics CFAR (OS-CFAR) consistently provides superior performance, achieving higher detection probability, enhanced robustness to clutter transitions, stable false alarm regulation, and improved threshold stability. At a detection probability of 0.8, OS-CFAR attains an SCR advantage of approximately 2–3 dB over CA-CFAR under severe clutter conditions. The results further reveal the influence of Doppler ambiguity and blind speed effects, highlighting the necessity of jointly considering detection algorithms and waveform design to achieve reliable maritime radar operation.
Hybrid Food Recommendation System using Term Frequency–Inverse Document Frequency (TF-IDF), K-Nearest Neighbors (KNN), and Tag-Based Similarity Mellany, Juventania Sheva; Kusnawi, Kusnawi
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i1.3683

Abstract

The rapid growth of the digital culinary industry increases the need for intelligent menu recommendation systems that can assist customers in making accurate and personalized choices. This study develops a hybrid food recommendation system that integrates three complementary approaches: popularity-based ranking, Term Frequency–Inverse Document Frequency (TF-IDF) with K-Nearest Neighbors (KNN) item similarity, and tag-based cosine matching. The system also incorporates a Content-Based Filtering component that leverages cosine similarity to strengthen similarity modeling across textual and tag-based representations. A total of 77,157 real transaction records from SR Cipali Restaurant, collected between April and December 2024, were used as the primary data source for system development and evaluation. Data preprocessing includes cleaning, category filtering, TF-IDF transformation for product names, One-Hot Encoding for tags, and price normalization to generate structured and comparable feature representations. Experimental results show that the TF-IDF KNN model achieves the best performance with an accuracy of 0.94, recall of 1.00, and F1-score of 0.89. The popularity-based model reaches an accuracy of 0.89 with balanced precision and recall of 0.80, while the tag-based model obtains a precision of 1.00 but lower recall due to tag inconsistency and ranking selectivity. The novelty of this study lies in the use of a hybrid lightweight framework evaluated on real-world restaurant transactions, which is rarely explored in previous research dominated by benchmark datasets. The proposed system demonstrates strong practicality for small and medium-sized restaurants that lack rating data and can be further improved by enhancing tag quality and incorporating more product attributes.
Performance Comparison of Pure and Modified Sine Wave Inverters in an Off-Grid PV System Safitri, Nelly; Syahputra, Rudi; Hardi, Supri; Jalil, Saifuddin Muhammad
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i1.3810

Abstract

This study evaluates the performance of Pure Sine Wave (PSW) and Modified Sine Wave (MSW) inverters within small-scale off-grid solar power generation systems. The assessment was conducted utilizing a 160 Wp monocrystalline solar panel, a 10 A solar charge controller (SCC), a 12.8 V–100 Ah lithium iron phosphate (LiFePO₄) battery, along with both 500 W PSW and MSW inverters, across varying panel tilt angles ranging from 45°-165°. The findings indicated that the PSW inverter delivered a more consistent output voltage between 221 and 222 V, exhibiting minimal fluctuation of ±1 V and low harmonic distortion at 2.5%. The MSW inverter produced an output voltage between 222 and 225.5 V, characterized by greater variability and higher harmonic distortion under both light and heavy load conditions. The analysis of the solar photovoltaic (PV) system provides critical insights into the performance differences between the two inverter types. Notably, the results related to tilt angle are not merely supplementary; they serve as indicators of varying irradiance conditions, enabling a more comprehensive evaluation of inverter performance concerning fluctuations in input power levels. Both PSW and MSW inverters achieved an efficiency rating of 85%, ensuring stable and smooth outputs. However, with regard to long-term reliability, the PSW inverter significantly surpasses its counterpart, rendering it a more appropriate choice for permanent solar PV installations. As the results, the PSW inverter is particularly suited for sensitive loads that demand high power quality, while the MSW inverter remains viable for less demanding applications when the cost is considered.
Space-Based ADS-B Latency Evaluation in Jakarta and Makassar Flight Information Regions Yuanita, Anastasia Andini; Anggraini, Dian; Sulistyo, Didik
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i1.3752

Abstract

This study evaluates the latency performance of Space-Based Automatic Dependent Surveillance–Broadcast (ADS-B) within the Jakarta and Makassar Flight Information Regions (FIRs). A quantitative comparative analysis is conducted using secondary data obtained from Aireon’s operational trials in Indonesia, processed through statistical filtering to assess end-to-end latency distributions. The results show a stable average latency ranging from 0.46 to 0.48 seconds, with 95th percentile values consistently remaining below 0.5 seconds, satisfying international aviation surveillance performance requirements. These findings confirm that Space-Based ADS-B is capable of supporting reliable real-time surveillance operations in Indonesian airspace. This study contributes a QoS-based latency assessment that highlights the need for harmonized, satellite-oriented surveillance performance standards beyond existing ground-based ADS-B regulations.

Page 15 of 16 | Total Record : 153

 12   13   14   15   16 

Filter by Year

2019 2026


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