Article Per Year (5 Year)
p-Index From 2020 - 2025
1.556
P-Index
This Author published in this journals
All Journal Jurnal Teknik ITS Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Program Kreativitas Mahasiswa - Teknologi JAVA Journal of Electrical and Electronics Engineering JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Sewagati
Rudy Dikairono
Departemen Teknik Elektro, Fakultas Teknologi Elektro Dan Informatika Cerdas, Institut Teknologi Sepuluh Nopember
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 18 Documents
Search

 1   2 
ADVANCE ATTACK AND DEFENSE STRATEGY ALGORITHM WITH DYNAMIC ROLE ASSIGNMENT FOR WHEELED SOCCER ROBOT Rudy Dikairono; Setiawardhana Setiawardhana; Fajar Budiman; Djoko Purwanto; Tri Arief Sardjono
Jurnal Ilmiah Kursor Vol 11 No 1 (2021)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v11i1.257

Abstract

Game strategy is one of the most critical parts of winning a soccer robot match and cannot be separated from the cooperation among robots in making movements to score goals. In this paper, a wheeled soccer robot game strategy called advance attack and defense has been developed. The strategy is combined with dynamic role assignment, in which robot can change from an attacker to a defender and vice versa. Defender robots are not only based on defensive area but will always block opposing attacker to score goal. The attack strategy performs a rotational trajectory for attacker robot to overpass opponent robot. This strategy has been proven to increase defense and attack effectiveness. Test results using soccer robot gameplay environment simulator developed by Institut Teknologi Sepuluh Nopember Robot with Intelligent System (IRIS) team show that the advance strategies are superior compared with basic strategies. In 30 matches, the advance dynamic strategy won 80%, drew 6.7%, and obtained the highest goal difference, 85 goals. The test was then verified with the implementation in the IRIS robots and showed the same performance. The developed game algorithms were tested in 2019 Indonesian wheeled soccer robot contest (KRSBI-B) and the IRIS team won the title.
Navigasi Robot Penjaga Gawang Berdasarkan Prediksi Posisi dan Waktu Kedatangan Bola Setiawardhana; Rudy Dikairono; Djoko Purwanto; Tri Arief Sardjono
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 3: Agustus 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1615.99 KB) | DOI: 10.22146/.v9i3.295

Abstract

Research on wheeled soccer robots has been developed especially for the accuracy of the object detection and classification. This paper solves the problem for ball's position and arrival time prediction also its navigation to block the ball. Previous research used Single Layer Neural Network (SLNN) and Two Layer Neural Network (TLNN) methods. This paper propose a Modified Two-Layer Neural Network (MTLNN) algorithm for increasing the prediction accuracy for ball’s position and its arrival time, also Goalkeeper Robot Navigation (GKRN) algorithm for its navigation. The algorithm was created by modifying the TLNN architecture in the number of nodes to eight inputs and two outputs, with the number of hidden being designed as needed. The accuracy of the prediction greatly affects ball blockade because it is used to navigate the robot. The GKRN algorithm was created by modifying the membership function of the Fuzzy Inferences System (FIS), which is adjusted to the robot's needs. The results showed an increase in prediction accuracy from up to 20 times better for ball position and 4 times better for the arrival time of the ball. Overall, the navigation system obtained a successful rate of 90% for blocking the ball.
Perancangan Sistem Peringatan Area berbahaya untuk Penyandang Tunanetra Hendra Kusuma; Totok Mujiono; Harris Pirngadi; Tasripan; Rudy Dikairono; Muhammad Rivai
Sewagati Vol 6 No 4 (2022)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2337.107 KB) | DOI: 10.12962/j26139960.v6i4.230

Abstract

Penyandang tunanetra dalam kesehariannya memiliki kesulitan untuk mengetahui area berbahaya di tempat yang asing bagi mereka. Kesulitan ini terutama dalam hal spasial, yaitu memperkirakan medan di sekitarnya, seperti ketinggian tempat dia berada, daerah berbahaya yang berpotensi menyebabkan celaka, maupun daerah industri yang bertegangan listrik tinggi. Disamping itu penyandang tunanetra juga tidak bisa mengetahui dengan mudah apakah suatu suatu lokasi boleh di akses atau tidak, dikarenakan tidak adanya atau tidak memungkinkan tersedianya petunjuk dalam bentuk tulisan Braille. Agar penyandang tunanetra dapat ber navigasi mandiri, maka mereka membutuhkan alat bantu untuk mengetahui area berbahaya, dan area terlarang. Alat bantu ini merupakan sistem peringatan tentang adanya bahaya atau resiko fatal yang dipasang di area-area berbahaya, yang berupa sensor PIR, dan alarm, serta peringatan bahaya berupa suara manusia. Sistem yang telah berhasil diimplementasikan ini, yaitu sebagai hasil pelaksanaan Abdimas ini dapat membantu memberi rasa nyaman pada penyandang tunanetra, dan mengurangi resiko bahaya kecelakaan.
Perbaikan Mesin Cetak Braille dan Pelatihan Bagi Operator dan Guru di SLB N Muara Bulian, Batanghari, Jambi Hendra Kusuma; Tasripan; Tri Arief Sardjono; Rudy Dikairono; Totok Mujiono
Sewagati Vol 7 No 6 (2023)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v7i6.696

Abstract

Program pengembangan sekolah luar biasa untuk tunanetra, yaitu dalam bentuk pengembangan bahan ajar Braille sudah dilakukan Pemerintah sejak awal 1998, yaitu dengan dibentuknya sekolah luar biasa (SLB) yang berperan sebagai pusat sumber Resource Center penyelenggaraan pendidikan yang salah satu fungsinya adalah pengembangan media pembelajaran dalam huruf Braille. SLBN Muara Bulian, Batang Hari, Jambi merupakan salah satu SLB pusat sumber yang dimaksud. Mesin Braille SLB Muara Bulian sudah lama rusak dan tidak ada pihak yang mampu memperbaikinya sehingga kegiatan pengadaan dan pengembangan bahan ajar Braille menjadi terputus. Untuk itu pihak SLB Muara Bulian mengharapkan bantuan tim ahli Departemen Teknik Elektro ITS agar memperbaiki mesin Braille dan sekaligus memberi pelatihan teknis tentang pemeliharaan dan operasional bagi operator mesin Braille dan guru SLB. Hasil diagnosa, dan perbaikan yang dilakukan oleh tim DTE ITS menghasilkan mesin Braille SLB Muara Bulian kembali beroperasi sempurna seperti kondisi baru. Adapun perbaikan mesin Braille yang rusak tersebut dilakukan pada bagian mekanis, dan elektronik serta pada penyempurnaan software, sehingga mesin Braille SLB dapat beroperasi sempurna dengan kemampuan cetak 400 karakter per detik dan konsumsi daya listrik yang lebih rendah 40\% dari konsumsi semula. Disamping itu juga diberikan pelatihan teknis dasar yang berkaitan dengan pemeliharaan mesin bagi operator serta operasional mesin Braille bagi para guru SLB.
Pelatihan Video Editing untuk Menunjang Pengembangan Perangkat Live Streaming Studio Portable Cerdas di Pondok Pesantren Qomaruddin Gresik Ronny Mardiyanto; Ruth Johana Hutagalung; Riky Tri Yunardi; Riza Agung; Syahri Muharom; Djoko Purwanto; Rudy Dikairono; Muhammad Rivai; Muhammad Attamimi; Totok Mujiono; Devy Kuswidiastuti
Sewagati Vol 7 No 6 (2023)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v7i6.737

Abstract

Permasalahan yang ada di beberapa pondok pesantren di Jawa Timur, khususnya di Pondok Pesantren Qomaruddin Gresik adalah adanya kesenjangan teknologi dan potensi daerah yang belum dikelola secara profesional. Metode dakwah yang selama ini dilakukan masih menggunakan metode konvensional, yaitu berkumpul di sebuah tempat (masjid/mushola), kemudian para santri menyimak ajaran-ajaran yang disampaikan oleh seorang Kiai atau Ustaz. Digitalisasi setiap kajian/pengajian akan menyebarkan nilai media dakwah menjadi lebih luas. Monetisasi melalui platform seperti Youtube, Facebook, atau media lain dapat menjadi pemasukan tambahan bagi pondok pesantren. Pengabdian kepada masyarakat ini yaitu memberikan pelatihan video editing yang akan mendukung pengembangan perangkat live streaming studio portable cerdas dan menggali Informasi untuk memastikan solusi yang diterapkan tepat dan relevan dengan kebutuhan yang ada. Kegiatan ini telah dilakukan pada hari Selasa, 11 Juli 2023 di Pondok Pesantren Qomaruddin Gresik. Hasil survei kepuasaan menunjukkan bahwa kegiatan ini sangat bermanfaat dan perlu dilanjutkan.
Design of mapping system for domestic service robot using light detection and ranging Attamimi, Muhammad; Gunawan, Felix; Purwanto, Djoko; Dikairono, Rudy; Irfansyah, Astria Nur
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.8007

Abstract

Service robots are becoming increasingly essential in offices or domestic environments, usually called domestic service robots (DSR). They must navigate and interact seamlessly with their surroundings, including humans and objects, which relies on effective mapping and localization. This study focuses on mapping, employing the light detection and ranging (LiDAR) sensor. The sensor, tested at proximity, gathers distance data to generate two-dimensional maps on a mini-PC. Additionally, it provides rotational positioning and robot odometry, broadening coverage through robot movement. A microcontroller with wireless smartphone connectivity facilitates control via Bluetooth. The robot is also equipped with ultrasonic sensors serving as a bumper. Testing in rooms of varying sizes using three methods (i.e., Hector simultaneous localization and mapping (SLAM), Google Cartographer, and real-time appearance-based mapping (RTAB-Map)) yielded good quality maps. The best F1-measure value was 96.88% achieved by Google Cartographer. All the results demonstrated the feasibility of this approach for DSR development across diverse applications.
Depth Image Assisted Aiming for Scoring Goal in Wheeled Soccer Robot Kusuma, Hendra; Samhan, Dzulfikar Ahmad; Tasripan, Tasripan; Dikairono, Rudy
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 2 (2024): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i2.268

Abstract

Wheeled soccer robot, as an automatic robot, required to have an advanced decision making system based on information it grasp from its surrounding. One of the most crucial decision making ability is to determine aiming angle when it is scoring goal.This research will enhance the aiming ability for scoring goal by predicting unguarded area of goal. Combination of depth image and RGB image information will be used to predict the position of unguarded space in goal. This position will be converted into aiming angle for the robot. Intel Realsense D435i depth camera will be used to get RGB and depth image simultaneouslyBy using this method, the system is capable to predict unguarded area in all of 60 test points, with 1.3% average error for the predicted coordinate.
Deep Neural Network for Visual Localization of Autonomous Car in ITS Campus Environment Dikairono, Rudy; Kusuma, Hendra; Prajna, Arnold
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 7, No 2 (2023): July
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v7i2.365

Abstract

Intelligent Car (I-Car) ITS is an autonomous car prototype where one of the main localization methods is obtained through reading GPS data. However the accuracy of GPS readings is influenced by the availability of the information from GPS satellites, in which it often depends on the conditions of the place at that time, such as weather or atmospheric conditions, signal blockage, and density of a land. In this paper we propose the solution to overcome the unavailability of GPS localization information based on the omnidirectional camera visual data through environmental recognition around the ITS campus using Deep Neural Network. The process of recognition is to take GPS coordinate data to be used as an output reference point when the omnidirectional camera takes images of the surrounding environment. Visual localization trials were carried out in the ITS environment with a total of 200 GPS coordinates, where each GPS coordinate represents one class so that there are 200 classes for classification. Each coordinate/class has 96 training images. This condition is achieved for a vehicle speed of 20 km/h, with an image acquisition speed of 30 fps from the omnidirectional camera. By using AlexNet architecture, the result of visual localization accuracy is 49-54%. The test results were obtained by using a learning rate parameter of 0.00001, data augmentation, and the Drop Out technique to prevent overfitting and improve accuracy stability.
Co-Authors Aditya Rifa Utama Adrie Sentosa Ardiansyah A. Attamimi, Muhammad Bardo Wenang Budiman, Fajar Devy Kuswidiastuti Dion Hayu Fandiantoro Djoko Purwanto Felix Gunawan Harris Pirngadi Hendra Antomi Hendra Kusuma Hendra Kusuma Henny Utami Irfan Fachrudin Priyanta Irfansyah, Astria Nur Kurniawan, Arief Muhammad Alfiansyah Muhammad Attamimi Muhammad Fasih Mubarrok Muhammad Januar Fathoni Muhammad Rivai Muhammad Rivai Muharom, Syahri Parama, Armand Dvi Prajna, Arnold Pujiono Pujiono Reza Barkah Harjunadi Riza Agung Ronny Mardiyanto, Ronny Ruth Johana Hutagalung Samhan, Dzulfikar Ahmad Setiawardhana Setiawardhana Setiawardhana Totok Mujiono, Totok Tri Arief Sardjono Yulianto, Lucas Yunardi, Riky Tri