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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 10 Documents
 1 
Search results for , issue "Vol 7, No 1 (2025): February" : 10 Documents clear
Comparison of Machine Learning Methods for Predicting Electrical Energy Consumption Wahyusari, Retno; Sunardi, Sunardi; Fadlil, Abdul
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 1 (2025): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i1.2722

Abstract

This research investigates how to accurately predict electrical energy consumption to address growing global energy demands. The study employs three Machine Learning (ML) models: k-Nearest Neighbors (KNN), Random Forest (RF), and CatBoost. To enhance prediction accuracy, the researchers included a data pre-processing step using min-max normalization. The analysis utilized a dataset containing 52,416 records of power consumption from Tetouan City. The dataset was divided into training and testing sets using different ratios (90:10, 80:20, 50:50) to evaluate model performance. Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) were used to assess prediction accuracy. Min-max normalization significantly improved KNN's performance (reduced RMSE and MAPE). RF achieved similar accuracy with and without normalization. CatBoost also demonstrated stable performance regardless of normalization. Data pre-processing, specifically min-max normalization, is crucial for improving the accuracy of distance-based algorithms like KNN. Decision tree-based algorithms like RF and CatBoost are less sensitive to data normalization. These findings emphasize the importance of selecting appropriate pre-processing techniques to optimize energy consumption prediction models, which can contribute to better energy management strategies.
Evaluation of EIGRP IPv6 and RIPng Effectiveness on IPv6 Networks with EVE-NG Emulator Pebriyanti, Cahyani; Ichsan, Ichwan Nul
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 1 (2025): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i1.2707

Abstract

This study aims to evaluate the performance of two IPv6 routing protocols, namely EIGRP and RIPng, based on Quality of Service (QoS) parameters such as throughput, packet loss, and delay on a network with a configuration of two routers and five routers. The method used is Design Science Research Methodology (DSRM), which includes literature review, network simulation design, data collection, and analysis. Tests were conducted using the EVE-NG simulator and Wireshark to analyze network traffic. The results show that EIGRP has a higher throughput than RIPng, with an average throughput of 3910 bit/s on two routers and 4118 bit/s on five routers, while RIPng recorded a throughput of 3594 bit/s and 4090 bit/s on the same configuration. In addition, EIGRP also showed a lower delay of 999 ms in both configurations, compared to RIPng which recorded a delay of 1570 ms for two routers and 1530 ms for five routers. Both protocols had similar results on the packet loss parameter (0%). These findings indicate that EIGRP is more efficient in maintaining throughput stability and reducing delay, thus it is superior in providing responsive network performance, even with a larger number of routers.
Development of a Digital Body Weight Scale Prototype with IoT-Based BMI Calculation and Real-Time Weight Tracking Hasti, Lubna Nadra; Permata, Endi; Aribowo, Didik
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 1 (2025): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i1.2738

Abstract

Obesity is a growing health concern in Indonesia, with its prevalence steadily increasing and contributing to a variety of non-communicable diseases such as diabetes and heart disease. One effective way to monitor and manage body weight is by regularly calculating the Body Mass Index (BMI). This study aims to develop a digital weighing scale prototype based on the Internet of Things (IoT), equipped with BMI calculation and real-time weight tracking features. The prototype utilizes load cell sensors, HX711, ESP8266, and an OLED display for measuring weight, which is then transmitted to a Flutter-based application (MyWeightApp) connected to Firebase for data storage and graphical visualization. The research adopts the waterfall model for system development, encompassing requirements analysis, planning, modeling, construction, and system handover. Hardware testing demonstrates an accuracy rate of 0.78% error, well below the 5% tolerance threshold. Software testing using black-box testing confirms that the application successfully tracks weight, calculates BMI, and provides effective weight progress graphs. The results of this study indicate that the IoT-based digital weighing scale prototype developed can serve as a practical solution for obesity prevention and health monitoring in Indonesia.
Implementation of Kalman Filter on PID Based Quadcopter for Controlling Pitch Angle Dalimunthe, Ernando Rizki; Ananda, Novan Dwiki; Sembiring, Jaka Persada; Faidar, Muhammad Anwar Sadat; Pranita, Elka; Jayadi, Akhmad; Putri, Novia Utami
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 1 (2025): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i1.2743

Abstract

Improving quadcopter control systems poses significant challenges in unmanned flight technology development. Key issues include the intricate nature of PID and Kalman filter parameter settings, necessitating profound knowledge of system dynamics and sensor properties. Furthermore, successfully integrating the Kalman Filter with PID control demands meticulous coordination to optimize state estimation precision and system responsiveness. This research emphasizes the incorporation of the Kalman filter into PID-based control for quadcopter pitch angle regulation. The Proportional-Integral-Derivative (PID) approach governs pitch angle, augmented by the Kalman Filter, to enhance estimation accuracy and mitigate sensor uncertainty. Optimal outcomes during system response testing were achieved with parameters of Kp at 2.95, Ki at 0.23, and Kd at 0.02, resulting in superior oscillatory response, including a 9-degree overshoot, a 5-second rise time, a 15-second settling time, and a 0.15-degree steady-state error, showcasing effective regulation of the quadcopter pitch angle. A concurrent observation during testing indicated that including the Kalman filter led to a significantly reduced overshoot compared to tests without it; conversely, the settling time experienced considerable acceleration, while measurement accuracy in the steady-state condition improved by 50%.
Intelligent HEED Algorithm for Energy Optimization in Heterogeneous Wireless Sensor Network Adedokun, Ayobami O.; Dahunsi, Folasade M.
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 1 (2025): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i1.2565

Abstract

Wireless Sensor Networks (WSNs) are deployed in various applications, from agricultural automation to environmental monitoring, where sensor nodes transmit data to a central base station. However, nodes further from the base station face accelerated energy depletion, primarily due to higher communication demands. Energy conservation is critical in these resource-constrained networks to prolong network longevity. This study introduces I-HEED (Intelligent Hybrid Energy-Efficient Distributed) clustering, a novel energy optimization algorithm that merges the energy-efficient HEED (Hybrid Energy-Efficient Distributed) protocol with the Monkey Search Algorithm. I-HEED balances energy distribution by optimizing cluster head selection, enabling efficient data aggregation and transmission to the base station. Through optimized cluster head selection, I-HEED effectively reduces energy consumption and enhances data transmission efficiency compared to LEACH (Low Energy Adaptive Clustering Hierarchy), DEEC (Distributed Energy Efficient Clustering), and HEED. The performance evaluation shows that I-HEED significantly outperforms existing protocols, with improvements of 3,700 more packets transmitted than DEEC, 2,800 more than HEED, and 500 more than LEACH. I-HEED also achieved higher node survivability and fewer dead nodes, making it ideal for resource-constrained WSNs. These findings validate I-HEED’s effectiveness as a robust, energy-efficient solution, offering extended operational life across diverse WSN applications in resource-limited environments.
Anomalous Investigation of ILS Glide Path Signals on Runway 24 at the Jakarta Air Traffic Service Center Wildan, Muh; Wibowo, Priyo; Wicaksono, Mochamad Sugeng; Sulaiman, Muhammad Arif; Rahmadani, Eldo Tri; Prasojo, Muhamad Adimukti
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 1 (2025): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i1.2847

Abstract

Precision landing guidance is critical for aircraft safety, yet recurring signal anomalies in the ILS Glide Path on runway 24 at the Jakarta Air Traffic Service Center raise concerns about approach and landing reliability. Despite compliance with standard regulations, persistent signal anomalies affecting glide slope accuracy raise concerns about safe aircraft approach. This study investigates the sources of distortion, quantifies their impact on ILS Glide Path performance, and proposes mitigation strategies. Spectrum analysis, environmental assessments, and signal evaluation through oscilloscopes and navigation analyzers were employs to identify and quantify sources of distortion. Results indicate that while composite audio signals comply with standards, navigation analyzer readings reveal persistent deviations in Difference in Depth of Modulation (DDM) due to harmonic distortions at 30 Hz and its multiples up to 450 Hz. These distortions could interfere with DDM values received by calibration aircraft, making conventional technical adjustments, such as power level settings and antenna reconfigurations, insufficient for complete resolution. Instead, alternative mitigation approaches including reducing environmental reflections, optimizing siting criteria, and refining regulatory compliance measures are recommended. These findings provide valuable insights for enhancing ILS Glide Path reliability, refining signal mitigation strategies, and ensuring regulatory compliance for safer aviation navigation systems.
Optimizing Connectivity and Network Management with SDN Technology on VANET Using the SSF Method Dinata, Hane Yorda; Suranegara, Galura Muhammad
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 1 (2025): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i1.2867

Abstract

Vehicular Ad-Hoc Networks (VANET) represent a crucial innovation in transportation technology, enabling vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. However, VANET faces challenges such as signal fluctuations, data security issues, and high mobility, which affect network reliability. This study aims to optimize connectivity and network management in VANET using the Strongest-Signal-First (SSF) method supported by Software-Defined Networking (SDN). The research was conducted through simulations using Mininet-WiFi. The system was designed with two vehicles and four access points to evaluate the performance of the SSF method, focusing on quality of service (QoS) parameters such as data transfer, jitter, packet loss, and bandwidth. Data were collected over a 30-second simulation under varying bandwidth conditions. The results demonstrate that the SSF method effectively maintains communication reliability, achieving a maximum packet loss of only 0.05% and an average data transfer rate of 285 – 324 kB. However, the effects of fading and network dynamics caused fluctuations in minimum transfer rates (102 – 114 kB) and jitter (0.1 – 1.0 ms), particularly at lower bandwidths. The SSF method has proven to enhance communication stability in VANET. Nevertheless, challenges such as fading and high mobility require additional mechanisms to further improve network performance in dynamic environments.
The Role of VADER and SentiWordNet Labeling in Naïve Bayes Accuracy for Sentiment Analysis of Rice Price Increases Furqon, Ihtiar Nur; Soyusiawaty, Dewi
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 1 (2025): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i1.2806

Abstract

The surge in rice prices in Indonesia in 2024 is a critical issue affecting social welfare and national food security, particularly amid rising rice imports. This study evaluates public sentiment on Twitter using the Naïve Bayes method and compares the effectiveness of two automated labeling methods, VADER and SentiWordNet, in improving sentiment analysis accuracy. The research is significant due to the limited literature on automated labeling comparisons, especially in food price crises. The methodology includes data collection, preprocessing, translation, sentiment labeling using VADER and SentiWordNet, TF-IDF feature extraction, Naïve Bayes classification, and performance evaluation across different data split ratios: 60% training and 40% testing, 70% training and 30% testing, 80% training and 20% testing, and 90% training and 10% testing. Results show that VADER excels in detecting positive sentiments, achieving 74.42% accuracy at a 90:10 split but struggles with negative sentiment identification, with a highest F1-score of 56.58%. SentiWordNet performs better for positive sentiment detection, reaching 77.86% accuracy and 96.22% recall at an 80:20 split but yields a low F1-score of 32.15% for negative sentiments. In conclusion, VADER is suitable for balanced sentiment detection, while SentiWordNet is more effective for identifying positive sentiments.
Network Signal Coverage Expansion Planning WLAN Outdoor with 4-C Scenario Approach at Telkom University Kaffa, Rayhan Sidiq; Usman, Uke Kurniawan; Purnomo, Zhikya Sekar Lutfi; Akbar, Rangga Fadhillah; Wisetyo, Sakti Putro
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 1 (2025): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i1.2711

Abstract

Enhancing internet accessibility on campus is vital for both academic purposes and general internet usage. This research aims to expand the outdoor Wi-Fi coverage at Telkom University, taking into account wireless signal propagation, infrastructure, and network structure. The planning process includes conducting a walk test to evaluate signal coverage, simulating signal and interference, calculating the link budget (including pathloss, RSSI, and EIRP), and determining the Bill of Quantities (BoQ). The analysis of these simulations and calculations leads to informed planning recommendations. By applying the 4-C scenario approach, the study demonstrates that this method effectively covers the entire target area with a minimum RSSI of -75 dBm. There is no interference in the 2.4 GHz band, although co-channel interference occurs in the 5 GHz band. The RSSI consistently stays above -75 dBm, with the lowest measurement being -74 dBm over 200 meters in the 2.4 GHz band. EIRP values are within Indonesia's standard limit of 36 dBm, with a peak value of 33 dBm in the 5 GHz band. The total length of transmission cables used is 1628.3 meters, and the total BoQ amounts to Rp. 384,964,540.
Development of Coordinated Control of Vehicle Traffic Flow at Adjacent Intersection Kurniawan, Freddy; Jusoh, Muzammil; Muminov, Bahodir; Alam, Hermansyah; Dermawan, Denny; Purnomo, Muhamad Jalu
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 1 (2025): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i1.2823

Abstract

Traffic congestion in areas with two closely situated traffic lights is a complex issue that is often difficult to resolve. To address this issue, a coordination of timing between the two traffic controllers is proposed. This research conducts an experiment with two traffic controllers at two nearby intersections. The vehicle flow at each intersection is managed by the Agent acting as the traffic controller. The agent where more vehicles arrive is designated as the master agent, while the other agent is designated as the slave agent. A coordination algorithm is developed to synchronize the timing of the traffic controller so that the timing at the slave Agent was adjusted according to vehicle platoon arrivals from the master Agent. By this method, the green phase of the slave agent can be synchronized with the master agent, allowing vehicle platoons arriving from the master agent to immediately receive a green phase at the slave agent. This coordinated traffic control can be implemented with a microcontroller-based system, and vehicle movement can be simulated using Matlab's SimEvents. From the experiment conducted for two intersections located 500 meters apart, this scheme can reduce the average vehicle wait time from 40 seconds to just 9.4 seconds.

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