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Balancing Robot Berbasis Fuzzy Logic Sumantri K. Risandriya; Rifqi Amalya Fatekha; Irda Zusmaniar
JURNAL INTEGRASI Vol 7 No 2 (2015): Jurnal Integrasi - Oktober 2015
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Balancing robot is in the form of a wheeled robot that has two wheels on the right and left, the robot must be able to maintain a balance. In order to maintain the maximum balance there are many methods that will be used to determine good control optimization to obtain the value of a good response sensor with the motor reactions . At this balancing robot using the method Fuzzylogic with input accellerometer and gyroscope. To get a good response without noise accellerometer use KalmanFilter. The results obtained robot can balance itself with a success rate of 90% and a robot can balance itself despite being disturbed by even encouraged.
Sistem Deteksi Bola pada Robot Kiper Pemain Sepakbola Beroda Rifqi Amalya Fatekha; Bima Sena Bayu Dewantara; Hary Oktavianto
JURNAL INTEGRASI Vol 13 No 2 (2021): Jurnal Integrasi - Oktober 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v13i2.3133

Abstract

Perkembangan pada dunia robotika pada saat ini semakin pesat, di mana robot dapat berguna dalam setiap kegiatan manusia. Di Indonesia ajang kontes robot sudah dilakukan pada setiap tahunnya baik tingkat regional dan tingkat nasional. Salah satu kategori yang ingin dibahas dalam penelitian ini adalah kategori Kontes Robot Sepakbola Indonesia (KRSBI). Pada kategori ini, robot harus bisa bernavigasi untuk mencari bola dan menendang kearah gawang. Tujuan utama dari robot ini adalah bernavigasi dan mencari bola sampai kearah gawang lawan. Robot sepakbola beroda merupakan salah satu kategori robot yang pertama kali dipertandingkan pada KRI (Kontes Robot Indonesia) 2018 kategori KRSBI (Kontes Robot Sepakbola Indonesia) Beroda. Robot sepakbola dikembangkan agar memiliki fungsi yang mirip dengan pemain sepakbola pada umumnya yaitu mengejar bola, menggiring bola, dan menendang bola. Salah satu permasalahan yang masih dikembangkan sampai saat ini adalah bagaimana robot mampu mendeteksi bola menggunakan sensor kamera (webcam). Deteksi bola merupakan salah satu langkah awal dalam menentukan aksi selanjutnya robot sepakbola beroda seperti mengejar, menggiring, dan menendang bola. Karena bola yang digunakan pada pertandingan berwarna oranye maka pada penelitian ini dikembangkan pendeteksian bola menggunakan metode filter warna. Robot penjaga gawang bertugas untuk dapat menghadang bola berwarna oranye memasuki gawang. Robot tersebut harus mampu mendeteksi bola dengan akurat untuk menentukan pergerakan robot selanjutnya. Artikel ini mendeskripsikan pengembangan robot penjaga gawang yang mampu mendeteksi warna dan bentuk bola dengan metode HoughCircle dan approxPolyDP.
Workshop Teknologi Robotika untuk Anak Usia 8-15 Tahun di Kota Batam Indra Hardian Mulyadi; Senanjung Prayoga; Rifqi Amalya Fatekha; Hendawan Soebhakti; Eko Rudiawan Jamzuri; Lindawani Siregar; Heru Wijanarko; Eka Mutia Lubis; Ika Karlina Laila Nur Suciningtyas; Vivin Oktowinandi; Ridwan Ridwan; Fitriyanti Nakul; Budi Sugandi
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol 4 No 2 (2022): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v4i2.4807

Abstract

The Covid-19 pandemic requires elementary and junior high school students to do online learning activities at home. In practice, children interact more often with their gadget during online school hours and outside these hours. Its a concern for most Graha Nusa Batam community residents because the children there are already starting to have symptoms of gadget addiction. Against this background, Batam State Polytechnic (Polibatam) held a robotics technology workshop program for children aged 8-15 years. This activity aims to increase children's understanding of robotics technology, which includes electronics and mechanics. In addition, this activity provides several benefits, namely: being an attractive alternative for children to reduce playing with their gadgets; provide children's experiences in problem solving, creativity and collaboration; and include field experience for Polibatam students by applying the knowledge gained through Project Based Learning (PBL) for the benefit of the community.This workshop held four meetings (March to April 2021) at the At-Taqwa Al-Qur'an Education Park (TPA) building, Graha Nusa Batam housing. The robot used is an analog line follower. Pre-test and post-test were conducted to measure the increase in participants' understanding of the material. This test shows that participants' knowledge of robotics technology can increase up to 25% for participants aged 8-11 years and 22% for 12-15 years.
An Implementation of Measurement System Analysis for IoT-Based Waste Management Development Heru Wijanarko; Ari Wira Saputra; Ika Karlina Laila Nur Suciningtyas; Rifqi Amalya Fatekha
Jurnal Rekayasa Elektrika Vol 18, No 4 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (805.106 KB) | DOI: 10.17529/jre.v18i4.26910

Abstract

A measurement system is a process that consists of standards, employees, and methods for measuring particular quality characteristics. Measurement System Analysis (MSA) attempts to evaluate a measuring system's precision, accuracy, and consistency so that clients receive high-quality goods. The previous study implements the MSA for machinery and industrial lines, electronics manufacturing, agricultural and poultry, aviation, and even employee monitoring and inspection. Elsewhere, waste management has problems, especially with capacity measurement instruments and weight sensors. This study aims to: (i) build an IoT-based waste management system; and (ii) evaluate the developed system by implementing the MSA technique, focusing on measurement equipment. The Gauge Repeatability and Reproducibility (GRR) Study Type 1, the (GRR) Study, and the Analysis of Variance (ANOVA) are conducted to evaluate the measurement instrument of the waste management system. The study findings that the total variance of the GRR is 20.95 %, and the distinct categories are 6. Thus, as the Automotive Industry Action Group (AIAG) GRR recommendation, the measuring system is marginal (acceptable in certain conditions). Moreover, the ANOVA result indicates that interaction and operators did not affect measurement outcomes because the blue dots remain inside the acceptable range.
An Implementation of Measurement System Analysis for IoT-Based Waste Management Development Heru Wijanarko; Ari Wira Saputra; Ika Karlina Laila Nur Suciningtyas; Rifqi Amalya Fatekha
Jurnal Rekayasa Elektrika Vol 18, No 4 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i4.26910

Abstract

A measurement system is a process that consists of standards, employees, and methods for measuring particular quality characteristics. Measurement System Analysis (MSA) attempts to evaluate a measuring system's precision, accuracy, and consistency so that clients receive high-quality goods. The previous study implements the MSA for machinery and industrial lines, electronics manufacturing, agricultural and poultry, aviation, and even employee monitoring and inspection. Elsewhere, waste management has problems, especially with capacity measurement instruments and weight sensors. This study aims to: (i) build an IoT-based waste management system; and (ii) evaluate the developed system by implementing the MSA technique, focusing on measurement equipment. The Gauge Repeatability and Reproducibility (GRR) Study Type 1, the (GRR) Study, and the Analysis of Variance (ANOVA) are conducted to evaluate the measurement instrument of the waste management system. The study findings that the total variance of the GRR is 20.95 %, and the distinct categories are 6. Thus, as the Automotive Industry Action Group (AIAG) GRR recommendation, the measuring system is marginal (acceptable in certain conditions). Moreover, the ANOVA result indicates that interaction and operators did not affect measurement outcomes because the blue dots remain inside the acceptable range.
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.
A Design and Implementation of a 3-Axis UAV Drone Gimbal Rig for Testing Stability and Performance Parameters in the Laboratory Wijaya, Ryan Satria; Zulpriadi, Zulpriadi; Prayoga, Senanjung; Fatekha, Rifqi Amalya
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9577

Abstract

This study designs a 3-axis UAV gimbal rig for testing stability and performance before deployment in real-world flight conditions. The gimbal rig simulates the vertical, lateral, and longitudinal axes to ensure reliable operation in various scenarios. Made from lightweight aluminum alloy, the structure minimizes vibrations and maintains rigidity during testing. For precise motion tracking, each axis is equipped with an LPD3806- 600BM-G5 rotary encoder, offering accurate feedback on movement. The Arduino Nano processes the encoder data, displaying real-time results on a 16x2 LCD with an I2C interface for easy monitoring. Additionally, a push-button system enables users to switch between different readings for each axis. This setup aids researchers in analyzing UAV dynamics and refining both firmware and hardware. Future enhancements may include wireless data logging and integration of machine learning techniques to predict maintenance needs, further supporting UAV stability testing in various applications, including aerospace, defense, and commercial use.
A Real-Time Hand Gesture Control of a Quadcopter Swarm Implemented in the Gazebo Simulation Environment Wijaya, Ryan Satria; Prayoga, Senanjung; Fatekha, Rifqi Amalya; Mubarak, Muhammad Thoriq
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9578

Abstract

With the advancement of technology, human-robot interaction (HRI) is becoming more intuitive, including through hand gesture-based control. This study aims to develop a real-time hand gesture recognition system to control a quadcopter swarm within a simulated environment using ROS and Gazebo. The system utilizes Google's MediaPipe framework for detecting 21 hand landmarks, which are then processed through a custom-trained neural network to classify 13 predefined gestures. Each gesture corresponds to a specific command such as basic motion, rotation, or swarm formation, and is published to the /cmd_vel topic using the ROS communication framework. Simulation tests were performed in Gazebo and covered both individual drone maneuvers and simple swarm formations. The results demonstrated a gesture classification accuracy of 90%, low latency, and stable response across multiple drones. This approach offers a scalable and efficient solution for real-time swarm control based on hand gestures, contributing to future applications in human-drone interaction systems.
Real-Time Chinese Chess Piece Character Recognition using Edge AI Wijaya, Ryan Satria; Anadia, Atika Yunisa; Fatekha, Rifqi Amalya; Prayoga, Senanjung
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.v9i4.10056

Abstract

This research focuses on developing a character analysis system on Chinese chess pieces (xiangqi) using computer vision technology with the deep learning framework PyTorch. The system is designed to detect and interpret text written on chess pieces in real time, making it easier for players to identify the function of each piece. The implementation is done using a web camera and can be applied to embedded devices such as Jetson Nano. This research aims to develop an automatic recognition system that can help players better understand the game of xiangqi by identifying characters on pieces in real time. The test results show that the system successfully recognized 14 pieces correctly. The system developed using Jetson Nano can directly process image data with a processing time of 0.0222 seconds. This data is obtained from the average of each FPS image from the web camera.