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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL INTEGRASI JOURNAL OF APPLIED INFORMATICS AND COMPUTING Journal of Applied Electrical Engineering Journal of Community Service and Empowerment Innovative: Journal Of Social Science Research Engagement: Jurnal Pengabdian Kepada Masyarakat The Indonesian Journal of Computer Science
ANUGERAH WIBISANA
Politeknik Negeri Batam
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Improving STEM Capability of Islamic Boarding School Students in Batam Through Robotics Training Hendawan Soebhakti; Eko Rudiawan Jamzuri; Senanjung Prayoga; Rifqi Amalya Fatekha; Anugerah Wibisana; Susanto Susanto; Riska Analia; Fitriyanti Nakul; Adlian Jefiza; Eka Mutia Lubis; Budiana Budiana; Ika Karlina Laila Nur Suciningtyas; Ahmad Riyad Firdaus
Engagement: Jurnal Pengabdian Kepada Masyarakat Vol 7 No 2 (2023): November 2023
Publisher : Asosiasi Dosen Pengembang Masyarajat (ADPEMAS) Forum Komunikasi Dosen Peneliti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/engagement.v7i1.1350

Abstract

Conducting robotics training as a community service to improve basic knowledge of Science, Technology, Engineering, and Mathematics (STEM) for students is one of the ways to improve their basic knowledge of Science, Technology, Engineering, and Mathematics (STEM) for students is one of the most important aspects of the facing the industrial era 4.0 and society 5.0. Through the Service-Learning approach, this community service by collaborating with Granada International in Batam by involving 29 students, consisting of 7 students from class X, 15 students from class XI, and the rest from class XII, class XI students, and the rest from class XII. The results of mentoring through robotics training were able to increase the average STEM skills of students by 38.15%. In addition, the activity was successfully implemented with participant satisfaction levels above 50% for the subject matter, instructor, and training equipment. Only 17% of the trainees stated that the training time was insufficient, especially for practicum.
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.
Omni-directional Movement on the MRT PURVI Ship Robot Wijaya, Ryan Satria; Kaputra, Aldi; Prasetyo, Naufal Abdurrahman; Soebhakti, Hendawan; Prayoga, Senanjung; Wibisana, Anugerah; Fatekha, Rifqi Amalya; Jamzuri, Eko Rudiawan; Nugroho, Mochamad Ari Bagus
Journal of Applied Electrical Engineering Vol 7 No 2 (2023): JAEE, December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v7i2.6475

Abstract

Ship transportation is the primary mode of trade and transportation at sea in the maritime industry. Initially, humans employed ships as a method of pursuing and capturing fish or animals in aquatic environments. As the ship era progresses, it actively engages in all aspects pertaining to ships. Presently, the ship is propelled by its engine, which is a significant improvement over its initial reliance on wood or oars. In addition to engines, propellers are employed to transform the rotational motion of the engine into propulsive force in the marine environment. Propellers are also present on aircraft, serving the same purpose but positioned at various locations in the air. A thruster is a hybrid device that combines an engine and a propeller. This sort of thruster is specifically designed for use on tiny boats or prototypes, for the purpose of simulating, exhibiting, or participating in contests. ESC is a component that facilitates the alteration of the input value to the intended velocity. In addition to their primary function of fulfilling food requirements, ships are presently employed in diverse capacities, including military vessels, tourist vessels, submarines, passenger ships, and more.
Development of an Omni Directional based Mobile Robot Navigation System using Optimized-Fuzzy Social Force Model WIBISANA, ANUGERAH; DEWANTARA, BIMA SENA BAYU; PRAMADIHANTO, DADET
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 4: Published October 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i4.961

Abstract

ABSTRAKMembangun sebuah sistem navigasi pada mobile robot yang bergerak di ruang sosial perlu memperhatikan beberapa aspek krusial, seperti menghindari rintangan, menjaga arah hadap robot ke tujuan, dan mencapai tujuan dengan cepat. Penelitian ini bertujuan untuk mengembangkan sistem navigasi pada Omnidirectional mobile robot menggunakan Fuzzy-Social Force Model (FSFM). Social Force Model (SFM) mampu menggerakan robot ke tujuan sambil menghindari rintangan. Fuzzy Inference System (FIS) digunakan untuk menghasilkan gain adaptif sebagai salah satu parameter SFM agar respon SFM sesuai dengan masukan dari sensor lidar. Aturan FIS dioptimasi agar mendapatkan nilai optimal menggunakan Particle Swarm Optimization (PSO). Dari hasil percobaan, mobile robot mencapai tujuan lebih cepat dengan selisih 1.59 s dan nilai error heading robot lebih kecil 0.9261 dibandingkan FSFM tanpa optimasi.Kata kunci: Sistem Navigasi, Mobile Robot, Fuzzy-Social Force Model, Optimasi, Particle Swarm Optimization ABSTRACTBuilding a navigation system on a mobile robot moves in social space needs to consider several crucial aspects, such as avoiding obstacles, keeping the robot facing the destination, and reaching the destination quickly. This study aims to develop a navigation system on an Omnidirectional mobile robot using the Fuzzy-Social Force Model (FSFM). The Social Force Model (SFM) guides the mobile robot to its destination while avoiding obstacles. The Fuzzy Inference System (FIS) produces adaptive gain as one of the SFM parameters so that the response of the SFM matches the data of the lidar sensor. The rule base of FIS is optimized to get the optimal value using Particle Swarm Optimization (PSO). From the experimental results, mobile robots reach the destination faster with a difference of 1.59 s and a minor error in robot heading of 0.9261 compared to FSFM without optimization.Keywords: Navigation System, Mobile Robot, Fuzzy-Social Force Model, Optimization, Particle Swarm Optimization
Sensor Fusion – Based Localization for ASV with Linear Regression Optimization Wijaya, Ryan Satria; Jamzuri, Eko Rudiawan; Wibisana, Anugerah; Sinaga, Jepelin Amstrong; Julanba, Vafin
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.10048

Abstract

ASV (Autonomous Surface Vehicle) is one of popular innovations in the maritime field that is widely used for various missions on the water surface. The ASV itself has the ability to operate automatically without human intervention. Therefore, ASV requires an accurate and reliable localization system. This research focuses on developing an ASV localization system using waterflow sensors optimized through linear regression and integrated with orientation data from an IMU sensor through sensor fusion to obtain global coordinate position estimation. The experiments conducted showed a significant improvement in accuracy after optimization, with the Root Mean Square Error (RMSE) of the waterflow sensor data decreasing from 161.65 meters to 0.28 meters. Moreover, the yaw data reading by IMU achieved accuracy with RMSE 1.54 degrees. The localization system in the final test achieved RMSE values of 0.07 meters for the X-axis, 0.14 meters for the Y-axis, and 1.9 degrees for yaw during the ASV global positioning experiment. In addition, a GUI (Graphical User Interface) was developed for visualization with average communication latency of 113.6 milliseconds. This localization system is a promising solution in stable water condition.
Implementasi Particle Swarm Optimization untuk Optimasi Fuzzy-Social Force Model pada Sistem Navigasi Robot Omnidirectional Anugerah Wibisana; Bima Sena Bayu Dewantara; Dadet Pramadihanto
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3076

Abstract

Particle Swarm Optimization (PSO) is a swarm-based optimization method that is easy to implement and requires only a few parameters to set. This study aims to implement PSO to optimize the Fuzzy-Social Force Model (FSFM). FSFM combines the Social Force Model (SFM) as a navigation algorithm and the Fuzzy Inference Rule (FIS) to produce adaptive gain on SFM to create a mobile robot navigation system that is more responsive to obstacles. The PSO implementation optimizes fuzzy rules to be more optimal when the mobile robot navigates into social spaces. From the experimental test results on the VREP simulation software, cognitive parameter c1 = 1 and social parameter c2 = 2 produced the best navigation performance compared to other test parameter values.
Comparative Study of YOLOv5, YOLOv7 and YOLOv8 for Robust Outdoor Detection Wijaya, Ryan Satria; Santonius, Santonius; Wibisana, Anugerah; Jamzuri, Eko Rudiawan; Nugroho, Mochamad Ari Bagus
Journal of Applied Electrical Engineering Vol. 8 No. 1 (2024): JAEE, June 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v8i1.7207

Abstract

Object detection is one of the most popular applications among young people, especially among millennials and generation Z. The use of object detection has become widespread in various aspects of daily life, such as face recognition, traffic management, and autonomous vehicles. The use of object detection has expanded in various aspects of daily life, such as face recognition, traffic management, and autonomous vehicles. To perform object detection, large and complex datasets are required. Therefore, this research addresses what object detection algorithms are suitable for object detection. In this research, i will compare the performance of several algorithms that are popular among young people, such as YOLOv5, YOLOv7, and YOLOv8 models. By conducting several Experiment Results such as Detection Results, Distance Traveled Experiment Results, Confusion Matrix, and Experiment Results on Validation Dataset, I aim to provide insight into the advantages and disadvantages of these algorithms. This comparison will help young researchers choose the most suitable algorithm for their object detection task.
Implementasi Sistem Kontrol PID untuk Orientasi Robot Hexapod Adriansyah, Yoga; Senanjung Prayoga; Anugerah Wibisana
Journal of Applied Electrical Engineering Vol. 9 No. 1 (2025): JAEE, June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i1.9085

Abstract

This research aims to improve the stability and accuracy of hexapod robot motion in the SAR competition in Indonesia using an adaptive PID control system combined with fuzzy logic. PID control has advantages in linear systems but is less responsive to dynamic conditions, while fuzzy logic can produce a more flexible adaptive response. The proposed system uses IMU sensors to measure directional error, where this data is then processed by fuzzy control to adjust the PID parameters in real time. Tests show that this method results in an average recovery time of 3,06 seconds, a rise time of 1,99 seconds, and an overshoot of approximately 10,00% to 15,60%. These results show an increase in the efficiency of the robot in navigating in complex environments, thus improving the performance in real applications.
Dampak Efektivitas Kerja terhadap Desain Keyboard Ergonomis dalam Manajemen Risiko dan Kesehatan Pengguna Diputra, Muhammad Naufal Airlangga; Lubis, Eka Mutia; Wibisana, Anugerah; Maulidiah, Hana Mutialif; Eliyani, Eliyani
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.11554

Abstract

Keyboard merupakan alat utama untuk melakukan tugas yang melibatkan penulisan, pengeditan, atau analisis teks. Keyboard yang efisien, ergonomi dan responsif dapat meningkatkan produktivitas di tempat kerja, karena penggunaan perangkat komputer yang intensif dan berjam-jam dalam sehari dapat menyebabkan banyak masalah kesehatan, terutama pada bagian tangan dan pergelangan tangan. Tujuan Penelitian ini guna mengevaluasi efektivitas keyboard mekanik desain ergonomik dalam kenyamanan, dan kesehatan dalam penggunaan keyboard dalam melaksanakan pekerjaanya. Metode penelitian ini menggunakan kualitatif dan pendekatan deskriptif. Hasil penelitian berdasarkan dari pengguna keyboard ergonomik memerlukan waktu yang tidak instan, sesuai dengan hukum kebiasaan yang menyatakan bahwa perubahan ini memerlukan pengulangan dan waktu yang cukup. Dalam penelitian ini menunjukkan bahwa proses adaptasi bisa memakan waktu minimal 3 minggu hingga 2 bulan agar terbiasa menggunakan keyboard ergonomik dengan lancar. Penggunaan keyboard dengan desain ergonomik membantu mengetik dalam posisi yang lebih nyaman, yang menyebabkan perbaikan pada postur pengetikan dan meminimalisir risiko penyakit di lengan. Manfaat lain dari penggunaan keyboard ergonomis adalah dapat mengurangi jumlah ketegangan pada otot lengan. Ketika mengetik dalam posisi yang sama untuk waktu yang lama menggunakan keyboard biasa, otot dapat menjadi lebih cepat lelah dan sakit.
Performance Comparison of Wheeled Soccer Robot Frames Using Finite Element Analysis (FEA) Wibisana, Anugerah; Muhammad Imron Shodiq; Muhammad Naufal Airlangga Diputra; Naurah Nazhifah
JURNAL INTEGRASI Vol. 17 No. 1 (2025): Jurnal Integrasi - April 2025
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v17i1.9547

Abstract

Frame analysis plays a vital role in the Indonesian Wheeled Soccer Robot Contest (KRSBI-B) by identifying design weaknesses and enabling optimization before building the physical robot. This study compares three frame designs: standard, modified standard, and the Tech United team's frame. Using Finite Element Analysis (FEA) in SolidWorks, each design is tested under vertical (25 kg) and horizontal (80 kg) loads, simulating real competition conditions. The Tech United frame shows the best performance, with stress values of 5.8 MPa (vertical) and 180.0 MPa (horizontal), minimal displacements of 0.018 mm and 1.806 mm, and FOS values of 9.5 and 0.3, respectively. It also displays superior stiffness, stability, and a controlled damage zone where deformation is intentionally localized to absorb impact. These characteristics make the Tech United frame the most durable and reliable option, improving overall robot performance and ensuring it can withstand the demands of competition.
Co-Authors Adlian Jefiza Adriansyah, Yoga Ahmad Riyad Firdaus Ahmad Riyad Firdaus Analia, Riska Bima Sena Bayu Dewantara Budiana, B. Dadet Pramadihanto Diputra, Muhammad Naufal Airlangga Eka Mutia Lubis Eko Rudiawan Jamzuri Eliyani Eliyani Fatekha, Rifqi Amalya Fitriyanti Nakul Hasnira, H. Hendawan Soebhakti Ika Karlina Laila Nur Suciningtyas Ika Karlina Laila Nur Suciningtyas Jefiza, Adlian Julanba, Vafin Kaputra, Aldi Lubis, Eka Mutia Maulidiah, Hana Mutialif MOCHAMAD ARI BAGUS NUGROHO Muhammad Imron Shodiq Muhammad Naufal Airlangga Diputra Nakul, Fitriyanti Naurah Nazhifah Prasetyo, Naufal Abdurrahman Prayoga , Senanjung Prayoga, Senanjung Puspita, Widya Rika Rifqi Amalya Fatekha Riska Analia Ryan Satria Wijaya S. Susanto, S. Santonius, Santonius Sinaga, Jepelin Amstrong Soebhakti, Hendawan Susanto Susanto