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All Journal International Journal of Electrical and Computer Engineering ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Journal of Community Service and Empowerment Journal of Applied Community Engagement (JACE)
Analia, Riska
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Humanities Computer Science & IT Electrical & Electronics Engineering Engineering Social Sciences Other

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Penempatan Pendeteksi Masker Untuk Pencegahan Penyebaran Covid di Kampus dan Pelabuhan Pamungkas, Daniel Sutopo; Sani, Abdulah; Gautama, Adytia; Analia, Riska; Hasnira; F Prebianto, Nanta; Rahmawati, Zahira; Siregar, Bismar; Al-Tsurayya, Maw’Izhah; Saragi, Elsa; Yudiarta, Geri
Journal of Applied Community Engagement Vol 2 No 1 (2022): Journal of Applied Community Engagement (JACE)
Publisher : ISAS (Indonesian Society of Applied Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (393.925 KB) | DOI: 10.52158/jace.v2i1.308

Abstract

At this time the world has been hit by the Covid-19 pandemic since 2019. The government advises the Indonesian people to follow the Health protocol. One of them is to wear a mask when we travel to public places. Some public places that are difficult to avoid include schools/campuses and ports. The people of the Riau Archipelago are very dependent on sea transportation modes. The movement of people is very massive in both places. Therefore, people are expected to always be disciplined in using masks in crowded places. To ensure and remind the public to always wear a mask is rather difficult. So we developed a mask detection device and stored it in public places. This tool leverages artificial intelligence technology with deep learning. This tool works very well, it can remind people who don't wear masks, even those who wear masks that aren't right.
Tiny-YOLO distance measurement and object detection coordination system for the BarelangFC robot Susanto, Susanto; Ricardo Silitonga, Jony Arif; Analia, Riska; Jamzuri, Eko Rudiawan; Pamungkas, Daniel Sutopo
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i6.pp6926-6939

Abstract

A humanoid robot called BarelangFC was designed to take part in the Kontes Robot Indonesia (KRI) competition, in the robot coordination division. In this division, each robot is expected to recognize its opponents and to pass the ball towards a team member to establish coordination between the robots. In order to achieve this team coordination, a fast and accurate system is needed to detect and estimate the other robot’s position in real time. Moreover, each robot has to estimate its team members’ locations based on its camera reading, so that the ball can be passed without error. This research proposes a Tiny-YOLO deep learning method to detect the location of a team member robot and presents a real-time coordination system using a ZED camera. To establish the coordinate system, the distance between the robots was estimated using a trigonometric equation to ensure that the robot was able to pass the ball towards another robot. To verify our method, real-time experiments was carried out using an NVDIA Jetson NX Xavier, and the results showed that the robot could estimate the distance correctly before passing the ball toward another robot.
Robotics training to improve STEM skills of Islamic boarding school students in Batam Jamzuri, Eko Rudiawan; Soebhakti, Hendawan; Prayoga , Senanjung; Fatekha, Rifqi Amalya; Wibisana, Anugerah; Nakul, Fitriyanti; Hasnira, H.; Analia, Riska; Susanto, S.; Wijaya, Ryan Satria; Suciningtyas, Ika Karlina Laila Nur; Puspita, Widya Rika; Lubis, Eka Mutia; Jefiza, Adlian; Budiana, B.; Firdaus, Ahmad Riyad
Journal of Community Service and Empowerment Vol. 5 No. 1 (2024): April
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jcse.v5i1.26895

Abstract

One potential approach to addressing the challenges posed by the advent of Industry 4.0 and Society 5.0 is to offer robotics training. This endeavor aims to enhance students' foundational understanding of STEM (Science, Technology, Engineering, and Mathematics) disciplines. The study involved collaborating with the Pondok Pesantren Granada, an Islamic Boarding School located in Batam, to provide robotics training as community service activities. The study included 29 trainees: 15 from class XI and 7 from classes X and XII. The teaching was conducted using a combination of didactic instruction, interactive discourse, and hands-on exercises. Trainees are administered a written examination to assess their proficiency level before and after the training program. The training outcomes exhibited a significant improvement in the mean STEM proficiency of trainees, with an increase of 38.15%. Furthermore, a series of activities have been effectively implemented, resulting in trainee satisfaction ratings exceeding 50% concerning course materials, trainer, and teaching equipment. A mere 17% of the individuals undergoing training expressed dissatisfaction with the allocated time, particularly the hands-on component's duration.
Object Detection and Pose Estimation with RGB-D Camera for Supporting Robotic Bin-Picking JAMZURI, EKO RUDIAWAN; ANALIA, RISKA; SUSANTO, SUSANTO
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 1: Published January 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i1.128

Abstract

ABSTRAKTujuan dari penelitian ini adalah untuk mendeteksi objek dan mengestimasi pose objek menggunakan kamera RGB-D. Dalam penelitian ini, kami mengusulkan pemrosesan data pada citra RGB dan citra depth saja, tanpa menggunakan point cloud, seperti pada umumnya. Metode yang diusulkan mendeteksi posisi dan orientasi objek menggunakan DRBox-v2 dari Region of Interest (ROI), yang sebelumnya diperoleh dari pendeteksian pada penanda ArUco. Hasil deteksi objek kemudian diskalakan dan digunakan pada citra depth untuk mendapatkan perkiraan posisi dan orientasi objek. Dari sisi pendeteksi objek, usulan metode memperoleh nilai Average Precision (AP) sebesar 0,740. Sedangkan untuk estimator pose, usulan metode menghasilkan kesalahan posisi rata-rata 13,36 mm dan kesalahan orientasi rata-rata 0,75 derajat. Metode yang diusulkan berpotensi menjadi alternatif sistem deteksi objek dan estimasi pose pada kamera RGB-D yang tidak memerlukan pemrosesan point cloud dan tidak memerlukan model referensi objek.Kata kunci: deteksi objek, estimasi pose, DRBox, ArUco, bin-picking ABSTRACTThis study aims to detect objects and estimate the object's pose using an RGB-D camera. In this study, we proposed data processing on RGB images and depth images only, without using point clouds, as in general. The proposed method detected the object's position and orientation using the DRBox-v2 from the Region of Interest (ROI), which was previously obtained from detecting ArUco markers. The object detection results were then scaled and used in the depth image to get the object's approximate position and orientation. In object detection, the proposed method obtained an Average Precision (AP) value of 0.740. As for the pose estimator, our method generated an average position error of 13.36 mm and an average orientation error of 0.75 degrees. Therefore, this method can be an alternative object detection and pose estimation system on an RGB-D camera that does not require point cloud processing and an object reference model.Keywords: object detection, pose estimation, DRBox, ArUco, bin-picking
Co-Authors Ahmad Riyad Firdaus Al-Tsurayya, Maw’Izhah ANUGERAH WIBISANA Bismar Siregar, Bismar Budiana, B. Daniel Sutopo Pamungkas, Daniel Sutopo Eko Rudiawan Jamzuri F Prebianto, Nanta Fatekha, Rifqi Amalya Gautama, Adytia Hasnira Hasnira, H. Ika Karlina Laila Nur Suciningtyas Jefiza, Adlian Lubis, Eka Mutia Nakul, Fitriyanti Prayoga , Senanjung Puspita, Widya Rika Rahmawati, Zahira Ricardo Silitonga, Jony Arif Ryan Satria Wijaya S. Susanto, S. Sani, Abdulah Saragi, Elsa Soebhakti, Hendawan Susanto Susanto Yudiarta, Geri