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Freddy Kurniawan
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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 17 Documents
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Search results for , issue "vol 8, no 1 (2026): february" : 17 Documents clear
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.
Adaptive Kernel Probability Model (AKPM) for Interpretable and Reliable Diabetes Prediction using Clinical Diagnostic Data Hiswati, Marselina Endah; Azijah, Izattul; Subandi, Yeyen; Diqi, Mohammad
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.v8i1.3689

Abstract

Diabetes mellitus poses a growing global health concern, particularly in low- and middle-income countries where early detection remains limited, demanding classification models that balance accuracy, interpretability, and adaptability to heterogeneous clinical data. This study proposes and evaluates the Adaptive Kernel Probability Model (AKPM), a novel nonparametric probabilistic classifier designed to enhance diabetes prediction by performing localized kernel density estimation with adaptive bandwidth selection via k-nearest neighbors. Implemented and tested on the Pima Indians Diabetes Dataset, AKPM outperformed conventional classifiers—Naïve Bayes and Gaussian Mixture Models (GMM)—across all evaluation metrics, achieving 87.5% accuracy, 83.3% precision, 76.9% recall, and an F1-score of 80.0% for the diabetic class, alongside 89.3% precision and 92.6% recall for the normal class. These results surpassed GMM (83.0% accuracy, 71.6% F1-score) and Naïve Bayes (80.0% accuracy, 66.6% F1-score), confirming AKPM’s superior capability to detect diabetic cases while minimizing false negatives. Offering transparent posterior inference and a modular design, AKPM emerges as a reliable and interpretable solution for clinical decision support systems and real-world healthcare applications.
Tilt Angle and Inverter Input Voltage Optimization for Rooftop Photovoltaic Systems using Whale Optimization Mulyana, Mulyana; Haddin, Muhamad
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.v8i1.3792

Abstract

Optimizing the performance of rooftop photovoltaic (RTPV) systems is crucial maximize energy production, especially in limited urban spaces. The main problem with the 122,040 Wp RTPV system is a significant performance gap, where the peak output power only reaches 95.93 kW, suggesting that the operational configuration may not be at the optimal point. The novelty of this research lies in the simultaneous optimization of two critical parameters: the geometric tilt angle (β) and the electrical inverter input voltage (VDC), a dual-parameter approach that contrasts with prior studies focusing on single-parameter optimization. This study aims to determine the optimal power output by employing the Whale Optimization Algorithm (WOA). The WOA method was selected for its superior ability to navigate complex search spaces by mimicking the bubble-net hunting strategy of humpback whales through a spiral model and a shrinking encircling mechanism to identify the global optimum. Simulation results show that convergence is achieved at the 75th iteration. The optimization results demonstrate a significant performance improvement, increasing the output power from 95.93 kW to 105.01 kW, which represents a 9.46% efficiency gain. This simultaneous optimization, resulting in a panel β of 26.26° and VDC of 629.66 V, proves to be a robust technical contribution for shifting the operating point toward the global maximum power point (GMPP) in industrial-scale RTPV systems.
Voltage Drop and Power Loss Mitigation on SGN-14 via SGN-15 Feeder Design in Distribution System ULP Magelang Yasya, Haqrodji Prabu; Pravitasari, Deria; Trihasto, Agung; Kurniawan, Andriyatna Agung
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.v8i1.3686

Abstract

Feeder SGN-14 of PT PLN (Persero) ULP Magelang operates under overload conditions, significantly degrading voltage quality and increasing technical losses. PLN (Perusahaan Listrik Negara) is Indonesia’s State Electricity Company, while ULP (Unit Layanan Pelanggan) refers to a customer service unit. This study designs Feeder SGN-15 as a 20 kV load-splitting feeder supplied from Sanggrahan Substation and terminating near KH. Maksum Street (Tempuran). The feeder is 20.7 km long and routed close to the load centre to reduce line losses. Network performance is assessed using ETAP load-flow simulations and independent GNU Octave calculations of voltage profile, current, and power/energy losses, referenced to SPLN T6.001:2013 with a 10% voltage-drop limit. The proposed feeder uses 8,152 m of insulated MVTIC and 12,584 m of AAAC conductors, supported by 238 concrete poles, together with required switching devices, line accessories, and four CSP transformers. After reconfiguration, the maximum voltage drops on SGN-14 decreases from 12.82% to 6.5%, while SGN-15 operates at about 4.95%, ensuring all buses comply with SPLN T6.001:2013. Technical losses on SGN-14 fall from 388.711 to 112.337 (W/kWh), and SGN-15 contributes 81.130 (W/kWh), giving total post-reconfiguration losses of 195.467 (W/kWh). The reduction in energy-loss cost yields an estimated saving of Rp228.82 million per month, lowering losses from Rp460.32 million/month to Rp231.44 million/month. Unlike studies that optimize only switch states or voltage-regulator placement, this work shows that adding a new 20 kV feeder can jointly improve voltages, reduce losses, and deliver tangible benefits for the distribution utility.

Page 2 of 2 | Total Record : 17

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