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All Journal Rotasi MEDIA KOMUNIKASI TEKNIK SIPIL TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal EECCIS Journal of ICT Research and Applications Conference SENATIK STT Adisutjipto Yogyakarta Angkasa: Jurnal Ilmiah Bidang Teknologi KACANEGARA Jurnal Pengabdian pada Masyarakat Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Scientific Journal of Mechanical Engineering Kinematika Community Development Journal: Jurnal Pengabdian Masyarakat ENGAGEMENT: Jurnal Pengabdian Masyarakat Jurnal Inovasi Pengabdian Masyarakat Indonesian Journal of Aerospace
Okto Dinaryanto
Institut Teknologi Dirgantara Adisutjipto
Religion Aerospace Engineering Humanities Astronomy Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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Penentuan Orientasi dan Translasi Gerakan UAV menggunakan Data Fusion berbasis Kalman Filter Freddy Kurniawan; Muhammad Ridlo Erdata Nasution; Okto Dinaryanto; Lasmadi Lasmadi
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 3, No 2 (2021): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v3i2.890

Abstract

Navigation system is essential in estimating the orientation and translation motion of UAV. The system can utilize data from several sensors and devices, e.g. MIMU and GPS. The orientation of UAV can be precisely calculated by means of data from accelerometer and magnetometer when both sensors are in static state. Meanwhile, under dynamic conditions, the orientation can be more precisely predicted through the use of gyroscope sensor data. In order to attain a robust navigation system, a data fusion based on Kalman filter is built to estimate the orientation from the accelerometer, gyroscope, and magnetometer sensors. Moreover, for sake of achieving high accuracy, the filter will further correct the orientation by giving a higher weight to the data from accelerometer and magnetometer sensors when the UAV is in static condition. In the case of its position, the UAV position will be estimated by performing data fusion of MIMU and GPS data. Based on the experiments, it could be showed that data fusion based on Kalman filter provided more accurate results of orientation and position of UAV. The result of orientation based on gyroscope sensor data has an average error of 18.12°, while those obtained by accelerometer and magnetometer sensors data is 1.3°. Furthermore, by using the data fusion based on Kalman filter, the error of orientation predicted by combining data from accelerometer, magnetometer, and gyroscope will decrease to 0.87°.
Power-Loss and Efficiency Comparison of SiC C3M0075120D and GaN GS66508B in a DC–DC Buck Converter Adi Setiawan; Bambang Sudibya; R. Nur Akhmad Triwibowo; Okto Dinaryanto
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 2 (2026): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i2.4206

Abstract

The growing demand for high-efficiency power conversion has accelerated adoption of wide-bandgap (WBG) devices in DC-DC converters. While SiC and GaN MOSFETs outperform conventional silicon, direct quantitative comparisons under identical buck-converter conditions remain an area of active investigation. This simulation-based study investigates power losses and estimated efficiency of SiC C3M0075120D (1200 V, 75 m ) and GaN GS66508B (650 V, 50 m ) in a 200 V-to-100 V, 50 kHz DC-DC buck converter under identical loads (5 A and 10 A). Using LTspice simulations with manufacturer-supplied models and Double Pulse Test methodology for loss separation, the study explicitly distinguishes switching and conduction losses under fixed operating conditions, providing validated simulation-based quantification for these specific devices. The results indicate that for the GaN device achieves lower modeled total losses than the SiC device at 10 A (6.85 W vs. 17.05 W) and attains higher simulated estimated converter efficiency (99.31% vs. 98.25% at full load). For the two specific devices and simulated operating conditions examined, switching loss remains the dominant loss mechanism at 50 kHz. A frequency sensitivity analysis from 50 to 500 kHz reveals that the GaN device maintains approximately 60% lower losses across the frequency range, with absolute savings increasing from 10.2 W to 91.2 W. These findings apply specifically to the investigated devices and operating conditions, and the comparison involves devices with different voltage ratings. The methodology demonstrates the utility of LTspice as a pre-prototyping tool for WBG converter development, although experimental validation remains necessary to confirm estimated efficiency figures.
Co-Authors Abdillah, Helmi Fauzan Abdul Haris Subarjo Abdul Haris Subarjo Adi Setiawan Agung Prakoso Akhmad Zidni Hudaya Andinusa Rahmandhika Arif Pambekti Bahrul Jalaali Bahrul Jalaali Bambang Sudibya Bambang Sudibya Bangga Dirgantara Adiputra Dedet Hermawan Setiabudi Dedet Hermawan Setiabudi Dedet Hermawan Setiabudi Dedet Hermawan Setiabudi, Dedet Hermawan Deendarlianto Denny Dermawan Denny Dermawan Djarot Wahju Santoso Edi Prasetyo Eli Kumolosari Elisabeth Anna Prattiwi Faizi, Achmad Noor Fajar Nugroho Fajar Nugroho Firliandini Pralinda Sundari Freddy Kurniawan Freddy Kurniawan Freddy Kurniawan Freddy Kurniawan Freddy Kurniawan Freddy Kurniawan Ghufron, Hanif Gunawan Gunawan Haris Subarjo, Abdul Haruno Sajati Hermawan S, Dedet Indarto Indarto Jalaali, Bahrul Kutut Suryopratomo Lasmadi, Lasmadi Linda Meilani Mardiana Irawati Mawar Kusumawardani Mawar Kusumawardani Muhammad Hisyam Nasution, Muhammad Ridlo Erdata Pinandhita, Lazuardy Rahendra Qomaruddin R. Nur Akhmad Triwibowo Rizqi ilmal yaqin, Rizqi ilmal Setiawan, Paulus Sudarmaji, Catur Sutono, Sugoro Bhakti Syahrizal Teguh Wibowo Uyuunul Mauidzoh Uyuunul Mauidzoh Wahyu S, Djarot