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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Mechatronics, Electrical Power, and Vehicular Technology Techno.Com: Jurnal Teknologi Informasi Bulletin of Electrical Engineering and Informatics Jurnal METTEK (Jurnal Ilmiah Nasional Dalam Bidang Ilmu Teknik Mesin) Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Techne : Jurnal Ilmiah Elektroteknika JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) ILKOM Jurnal Ilmiah SENTIA 2016 Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Edunesia : jurnal Ilmiah Pendidikan Halu Oleo Legal Research International Journal of Robotics and Control Systems Journal of Disruptive Learning Innovation (JODLI) SinarFe7 JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Jurnal Inovasi Teknologi dan Edukasi Teknik Prosiding Seminar Nasional Pengabdian kepada Masyarakat (SINAPMAS) Journal of Innovation and Teacher Professionalism Asian Digital Governance Problems
I Made Wirawan
Universitas Negeri Malang
Religion Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : International Journal of Robotics and Control Systems

 1 
Real-Time Obstacle Detection for Unmanned Surface Vehicle Maneuver Anik Nur Handayani; Ferina Ayu Pusparani; Dyah Lestari; I Made Wirawan; Aji Prasetya Wibawa; Osamu Fukuda
International Journal of Robotics and Control Systems Vol 3, No 4 (2023)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v3i4.1147

Abstract

The rapid advancement and increasing demand for Unmanned Surface Vehicle (USV) technology have drawn considerable attention in various sectors, including commercial, research, and military, particularly in marine and shallow water applications. USVs have the potential to revolutionize monitoring systems in remote areas while reducing labor costs. One critical requirement for USVs is their ability to autonomously integrate Guidance, Navigation, and Control (GNC) technology, enabling self-reliant operation without constant human oversight. However, current study for USV shown the use of traditional method using color detection which is inadequate to detect object with unstable lighting condition. This study addresses the challenge of enabling Autonomous Surface Vehicles (ASVs) to operate with minimal human intervention by enhancing their object detection and classification capabilities. In dynamic environments, such as water surfaces, accurate and rapid object recognition is essential. To achieve this, we focus on the implementation of deep learning algorithms, including the YOLO algorithm, to empower USVs with informed navigation decision-making capabilities. Our research contributes to the field of robotics by designing an affordable USV prototype capable of independent operation characterized by precise object detection and classification. By bridging the gap between advanced visualization techniques and autonomous USV technology, we envision practical applications in remote monitoring and marine operations with object detection. This paper presents the initial phase of our research, emphasizing significance of deep learning algorithms for enhancing USV navigation and decision-making in dynamic environmental conditions, resulting in mAP of 99.51%, IoU of 87.80%, error value of the YOLOv4-tiny image processing algorithm is 0.1542.
Photovoltaic Energy Anomaly Detection using Transformer Based Machine Learning Wirawan, I Made; Wibawa, Aji Prasetya; Widiyanintyas, Triyanna
International Journal of Robotics and Control Systems Vol 4, No 3 (2024)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v4i3.1260

Abstract

This study uses the Anomaly Transformer model to find anomalies in photovoltaic energy generation in Malang, Indonesia. The main background of this study is the lack of satellite monitoring in this region and the importance of annual data for electricity generation forecasting. Temperature scattered direct solar radiation, and hourly electricity production are all part of the dataset used which is only available since 2019. Anomalies were detected at 05.00 and 16.00 WIB, indicating instability in the energy supply due to high temperatures in the morning and heavy rain in the afternoon. Detection of these anomalies is important to improve the efficiency and reliability of photovoltaic systems, reduce operational costs, and reduce the risk of system failure. Indonesia has many challenges for photovoltaic energy generation due to its unique location, with many islands located close to the equator. The use of the Anomaly Transformer algorithm improves the accuracy of anomaly detection over conventional methods. This algorithm helps to find complex patterns in very large time series. The results show that the anomaly transformer model can effectively detect anomalous patterns. It offers ideas to improve the stability and efficiency of photovoltaic systems in Malang and other areas with comparable environmental conditions. Improved energy efficiency and environmental sustainability are the results of anomaly pattern detection.
Co-Authors A.N. Afandi Abdul Syukor Mohamad Jaya Abdullah Iskandar Syah Agung Witjoro Ahmad Fahmi Ahmad Lutfi Hidayatulloh Ahmad Nurdiansyah, Ahmad Aji Prasetya Wibawa Amalia Beladinna Arifa Anggi Kusuma Irawan Anik Nur Handayani Argeshwara, Dityo Kreshna Aries Alfian Prasetyo Aripriharta - Arisatya Bharotoyakti Arrohman, Maulana Ludfi Arya Mahesa Jenar Ashar, Muhammad Atmaja, Muhammad Bayu Setya Wahyu Bayu Koen Anggoro Dessy Rif’a Anzani Dila Umnia Soraya Dwi Septian, Fachur Rozy Dyah Lestari Ega Gefrie Febriawan Emmy Dyah Sulistyowati Fachur Rozy Dwi Septian Ferina Ayu Pusparani Fiqhy Isrofil Firmansyah, Ravi Rangga Wahyu FX Yuswantoro Dwi Irawan Gisra Rahmadhita Handrawan Haris, Oheo K. Hary Suswanto Hendra Susanto Heru Wahyu Herwanto Ifa Ibriza Rahmatun Nisa Indrasari, Novita Tri Indrazno Siradjuddin Irawan, Anggi Kusuma Isrofil, Fiqhy Isyatul Karimah Kornelius Kamargo/Irawan Dwi Wahyono Kornelius Kamargo Kusumawardana, Arya Latt, Aung Ko M. Alfian Mizar Mahfud Jiono Marizan Sulaiman Maulia Wijiyanti Hidayah Megana, Agis Adienia Haqi Meriatami, Alfeina Zakkya Moh. Zainul Falah Mokh Sholihul Hadi Mokhammad Nasrulloh Muhammad Afnan Habibi Muhammad Iqbal Akbar Muhammad Rama Setiyadi Muhammad Rodhi Faiz Muladi Nasmi Herlina Sari Novendra, Irvandy Ilza Nurrohman, Andrian Bima Osamu Fukuda Pandri Pandiatmi Puji Santoso Puji Santoso Pundhi Yuliawati Raffi Taufik Gushardana Rajib Muhammad Basthony Retno Indah Rokhmawati Ridwan Shalahuddin Rozan Hermansyah Samsul Hidayat Samsul Hidayat Setiadi Cahyono Putro Shalahuddin, Ridwan Shidiqi, Maulana As Sinarep Sinarep Siti Sendari Slamet Wibawanto Soenar Soekopitojo Suci Lestari Sugiono, Bhima Satria Rizky Sujita Sujita Sujito . Sujito Sujito Suteja Suteja Syaad Patmanthara Syafirly, Muhammad Rifqi Rajwa Tri Atmadji Sutikno Triyanna Widiyaningtyas Wahyu Sakti Gunawan Irianto Widinata, Fandi Widiyanintyas, Triyanna Yuliawati, Pundhi Yuni Rahmawati Yusuf Ahyar Sutaryono Zaeni, Ilham Ari Elbaith Zakiyah Amalia