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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal EECCIS Jurnal Teknologi Elektro Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Conference SENATIK STT Adisutjipto Yogyakarta Angkasa: Jurnal Ilmiah Bidang Teknologi Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Vortex Jurnal Peradaban Masyarakat (JPM)
Setiawan, Paulus
Institut Teknologi Dirgantara Adisutjipto
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences Other

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Analysis of Vibration Characteristics of EFT-E610P Drone Using Modal Analysis Method Kamila, Amalia; Prattiwi, Elisabeth Anna; Setiawan, Paulus; Hartini, Dwi; Priyahapsara, Istyawan; Astuti, Yenni
Vortex Vol 6, No 2 (2025)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/vortex.v6i2.3679

Abstract

This research examines the vibration characteristics of the EFT-E610P type agricultural drone through flight tests and modal analysis. It aims to identify and analyze vibration properties like amplitude deviation, period, frequency, and waveform in the drone's mechanical system to ensure flight stability and safety. The study collects real-time vibration data using accelerometer sensors, processes it using Fourier transform, and interprets the main vibration features. Results show that the vibration parameters remain within a reasonable range corresponding to the drone’s natural structural properties, with no signs of instability or harmful oscillations. Amplitude fluctuations and dominant frequency shifts indicate the drone’s dynamic response to speed and structural changes but remain stable. The study concludes that the EFT-E610P drone exhibits normal vibration behavior during tests, with no negative impact on flight performance or safety, supporting its effective operation.
Radar-based gesture recognition simulation for unmanned aerial vehicles command interpretation Dermawan, Denny; Kurniawan, Freddy; Astuti, Yenni; Setiawan, Paulus; Lasmadi, Lasmadi; Mauidzoh, Uyuunul; Sudibya, Bambang
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i3.pp1227-1235

Abstract

Radar-based gesture recognition has emerged as a robust alternative to vision-based systems, particularly in environments where lighting and privacy pose challenges. This study presents a simulation approach for recognizing hand gestures to control unmanned aerial vehicles (UAVs) using radar signals. Five discrete gestures, i.e., TakeOff, Land, MoveForward, TurnLeft, and stop, were defined and modeled in MATLAB to generate synthetic radar signals. From each sample, four time-frequency domain features were extracted: duration, maximum amplitude, dominant frequency, and root mean square (RMS). A dataset of 500 samples (100 per class) was classified using three supervised learning models: support vector machine (SVM), k-nearest neighbors (k-NN), and decision tree. The k-NN classifier achieved the highest accuracy of 96%, demonstrating the feasibility of lightweight classifiers for gesture recognition using low-complexity features. These results highlight the potential of radar-based interfaces to replace traditional remote controls in UAV operation. The proposed simulation framework contributes to the development of intuitive, non-contact human-machine interaction systems.
Co-Authors Agus Basukesti Arwin Datumaya Wahyudi Sumari Bambang Sudibya Bambang Sudibya, Bambang Benedictus Mardwianta, Benedictus Catur Budi Waluyo Catur Budi Waluyo, Catur Budi Denny Dermawan Denny Dermawan Denny Dermawan Dharmawan, Muchamad Wizdan Diah Suwarti Widyastuti Dwi Hartini Farobi Widia Nanda Freddy Kurniawan Freddy Kurniawan Freddy Kurniawan Harsoyo, Yohanes Istyawan Priyahapsara Kamila, Amalia Kuswantoro, RB. Hendri Lasmadi Lasmadi Lasmadi, Lasmadi Linda Meilani Matuan, Lorenso Oldiardo Murti, D. Sanusi SH Ndaru Atmi Purnami Okto Dinaryanto Pratiwi, Elisabeth Anna Prattiwi, Elisabeth Anna Purnami, Ndaru Atmi Rahmawati, Fajar Khanif Ramdan Ramdan Refni Arianti Reynaldo Rizkika Putra Riski Nur Muhammad Santoso, Prasidananto Nur Setyapurnama, Yudi Santara Uyuunul Mauidzoh Wahyudin Wahyudin Widiyanto, Yohannes Babtista Cahya Wilda Noer Agustianingsih Yenni Astuti, Yenni