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All Journal International Journal of Electrical and Computer Engineering JTT (Jurnal Teknologi Terpadu) CARADDE: Jurnal Pengabdian Kepada Masyarakat Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang International Journal of Artificial Intelligence and Robotics (IJAIR) El-Mujtama: Jurnal Pengabdian Masyarakat INOVTEK Polbeng - Seri Informatika
Marta, Bayu Sandi
POLITEKNIK ELEKTRONIKA NEGERI SURABAYA
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Sistem Kendali Kecepatan Motor pada Mobile Robot Menggunakan PID dan Analisis Disturbance Berbasis Disturbance Observer Bayu Sandi Marta; Indra Ferdiansyah; Fernando Ardila
Jurnal Teknologi Terpadu Vol 6, No 2 (2018): JTT (Jurnal Teknologi Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v6i2.461

Abstract

Mobile robot's ability to maintain its speed is very important. When the robot is running and there is disturbance from outside system that affect the robot, causing the speed of the robot becomes unstable. For it is necessary to add a mechanism that is able to make the robot keep pace, one of them by giving control. This research will be built a speed control system on a mobile robot. The speed control system aims to improve performance and stability robot speed by minimizing the effect of unmeasured disturbances from outside the robot eg mechanical changes such as granting a load that can cause changes in the behavior of the system so that the necessary arrangements back to the control system. In this control system used control Proportional, Integral, Derivative (PID) and the analysis of disturbance based Disturbance Observer (DOB). PID control functions to improve motor performance robot. While DOB functions to analyze the disturbance from outside robot. The results of the implementation of the Disturbance Observer to PID control produce average root mean square error value of the reference value for the speed of 19.59 rpsfor right motor and left motor is 16.66 rps. While the average root mean square error of the reference value with PID control without Disturbance Observer on the right motor is 24.47 rps and the left motor is 18.89 rps. Keywords :
Pemanfaatan Perangkat Mengajar Digital Guna Mendukung Blended Learning Maretha Ruswiansari; Bayu Sandi Marta; Dewi Mutiara Sari; Dias Agata; Heny Yuniarti
CARADDE: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2021): Agustus
Publisher : Ilin Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31960/caradde.v4i1.723

Abstract

Pandemi Covid-19 mendorong semua sekolah untuk beradaptasi dengan bentuk kegiatan pembelajaran secara daring. Namun, tidak semua sekolah dapat menerapkan metode pembelajaran daring tersebut dengan baik. Salah satunya yaitu SMK Islam Al Amal yang belum tersedia perangkat mengajar yang mendukung pembelajaran daring di sekolah. Hal tersebut membuat para guru kesulitan dalam menggunakan aplikasi pembelajaran daring. Kegiatan pengabdian masyarakat yang dilaksanakan bertujuan membantu para guru untuk dapat memanfaatkan perangkat mengajar digital. Metode yang digunakan dalam pelaksanaannya yaitu dengan memberikan pelatihan kepada para guru agar dapat melaksanakan model pembelajaran blended learning dengan optimal. Para guru sangat antusias selama pelatihan dimana mereka belajar penggunaan perangkat dan aplikasi yang mendukung mengajar daring sesuai yang mereka butuhkan saat ini. Hasil pelatihan menunjukkan peningkatan kemampuan peserta dalam memahami dan mempraktikkan penggunaan pen tablet, mic condenser, webcam, dan green screen yang diintegrasikan dengan aplikasi Zoom dan Open Broadcaster Software.  
P5 Module Embedded System online training using HD-2020 for vocational students in Surabaya Heny Yuniarti; Reni Soelistijorini; Maretha Ruswiansari; Setiawardhana Setiawardhana; Riyanto Sigit; Bayu Sandi Marta; Mochamad Mobed Bachtiar; Dewi Mutiara Sari; Iwan Kurnianto Wibowo
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol 7, No 2 (2022): May 2022
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v7i2.6310

Abstract

Vocational students need hard skills and empowerment to enter the workforce. This community service activity aims to improve the skills of SMK Negeri 6 Surabaya students through training to make simple applications for running text LEDs from the P5 module. Running text is one of the electronic media that is very useful for conveying messages and information. Program activities that have been adapted to the needs of the school. So that this program is able to improve the quality of their hard skills and bring benefits to the community, lecturers, employees, and students of the EEPIS (Electronic Engineering Polytechnic Institute of Surabaya) Computer Engineering Study Program. The implementation method includes an initial survey of partner needs, vocational needs analysis, online training preparation, and installation and delivery of tools. The results of the post-test using a questionnaire showed that 97.9% of participants stated that there was an increase in embedded systems skills, especially in the P5 module and its software applications. There were 85.4% of participants wanted to learn more about embedded systems for other areas of expertise.
Kinematics modeling of six degrees of freedom humanoid robot arm using improved damped least squares for visual grasping Muhammad Ramadhan Hadi Setyawan; Raden Sanggar Dewanto; Bayu Sandi Marta; Eko Henfri Binugroho; Dadet Pramadihanto
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 1: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i1.pp288-298

Abstract

The robotic arm has functioned as an arm in the humanoid robot and is generally used to perform grasping tasks. Accordingly, kinematics modeling both forward and inverse kinematics is required to calculate the end-effector position in the cartesian space before performing grasping activities. This research presents the kinematics modeling of six degrees of freedom (6-DOF) robotic arm of the T-FLoW humanoid robot for the grasping mechanism of visual grasping systems on the robot operating system (ROS) platform and CoppeliaSim. Kinematic singularity is a common problem in the inverse kinematics model of robots, but. However, other problems are mechanical limitations and computational time. The work uses the homogeneous transformation matrix (HTM) based on the Euler system of the robot for the forward kinematics and demonstrates the capability of an improved damped least squares (I-DLS) method for the inverse kinematics. The I-DLS method was obtained by improving the original DLS method with the joint limits and clamping techniques. The I-DLS performs better than the original DLS during the experiments yet increases the calculation iteration by 10.95%, with a maximum error position between the end-effector and target positions in path planning of 0.1 cm.
SLiCE: Implementation of automation technology and Internet of Things in the greenhouse Iwan Kurnianto Wibowo; Bayu Sandi Marta; Eko Susanto; Mochamad Mobed Bachtiar; Mochamad Farhan Eka Widarto; Ahmad Hanan Asy-syaf’ie; Rafi Ahmad Romolo
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol 8, No 2 (2023): May 2023
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v8i2.9816

Abstract

SMK Negeri 1 Sidoarjo aims to create an automated hydroponic greenhouse system with IoT technology. Limited knowledge and costs hinder their progress. However, the Audio Video Engineering Department seeks assistance to achieve the program's goals by upgrading their knowledge and skills in automation. The Service Learning in Computer Engineering (SLiCE) program focuses on introducing and implementing automation and IoT technology in greenhouses. The community service project starts with surveys and discussions involving the principal and teachers. It then proceeds to analyze the needs and develop a hydroponic and IoT automation system. Training is provided for students and teachers of SMK Negeri 1 Sidoarjo. The ESP32 microcontroller enables remote monitoring and automatic control of nutrient levels and water pH, ensuring optimal plant growth. The outcome is a real-time hydroponic automation system capable of monitoring pH, nutrient PPM, and controlling nutrient addition through a website. After training, 87.9% of students reported improved comprehension of IoT and its implementation.
The Analysis of Underwater Imagery System for Armor Unit Monitoring Application Sari, Dewi Mutiara; Marta, Bayu Sandi; Amin A, Muhammad; Dwito Armono, Haryo
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 5 No. 1 (2023): May 2023
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.168 KB) | DOI: 10.25139/ijair.v5i1.5918

Abstract

The placement of armor units for breakwaters in Indonesia is still done manually, which depends on divers in each placement of the armor unit. The use of divers is less effective due to limited communication between divers and excavator operators, making divers in the water take a long time. This makes the diver's job risky and expensive. This research presents a vision system to reduce the diver's role in adjusting the position of each armor unit. This vision system is built with two cameras connected to a mini-computer. This system has an image improvement process by comparing three methods. The results obtained are an average frame per second is 20.71 without applying the method, 0.45 fps for using the multi-scale retinex with color restoration method, 16.75 fps for applying the Contrast Limited Adaptive Histogram Equalization method, 16.17 fps for applying the Histogram Equalization method. The image quality evaluation uses the underwater color quality evaluation with 48 data points. The method that has experienced the most improvement in image quality is multi-scale retinex with color restoration. Forty data have improved image quality with an average of 14,131, or 83.33%. The number of images that experienced the highest image quality improvement was using the multi-scale retinex with color restoration method. Meanwhile, for image quality analysis based on Underwater Image Quality Measures, out of a total of 48 images, the method with the highest value for image quality is the contrast limited adaptive histogram equalization method. 100% of images have the highest image matrix value with an average value is 33.014.
Underwater Single and Multiple Objects Detection Based on The Combination of YOLOv7-tiny and Visual Feature Enhancement Sari, Dewi Mutiara; Marta, Bayu Sandi; Dwito Armono, R. Haryo; Rizaldy Pratama, Alfan; Putra Pratama, Firmansyah
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/91b9qn06

Abstract

Breakwater construction in Indonesia frequently employs tetrapods to dissipate wave energy. However, the placement process remains manual, relying on divers to guide crane operators. This approach not only poses safety risks but also limits visibility due to underwater turbidity. While prior research has focused on underwater image enhancement, the integration of tetrapod object detection remains unexplored. This study proposes a combined method of underwater image enhancement and tetrapod object detection to support land-based operator visualization. Auto-Level Filtering and Histogram Equalization techniques were applied to enhance image clarity, followed by object detection using the YOLOv7-tiny model. Tetrapod models at a 1:20 scale were used for training and testing. The proposed system achieved a mean average precision (mAP) of 0.95. Evaluation was conducted across 12 scenarios, involving four lighting levels and two water conditions: clear and 45.8% turbidity. The object detection confidence scores were 0.80 without enhancement, 0.85 with Histogram Equalization, and 0.84 with Auto-Level Filtering. Multiple object detection achieved an accuracy of 88.75%, outperforming previous approaches using YOLOv4-tiny. The results demonstrate the potential of integrating image enhancement and deep learning-based object detection for improving underwater operational safety and placement precision in breakwater construction.
Penerapan Modular Smart PJU di Daerah Keputih Surabaya Bachtiar, Mochamad Mobed; Wibowo, Iwan Kurnianto; Marta, Bayu Sandi; Ardilla, Fernando
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 5 No. 1 (2025): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v5i1.6284

Abstract

  Street lighting is an important aspect of village infrastructure that affects the safety and mobility of the community. However, many villages still rely on manual systems to manage street lighting, causing inefficiencies in energy management and uncertainty in the availability of adequate lighting. The implementation of Smart PJU technology offers a solution to improve the efficiency, control, and monitoring of street lighting. However, the adoption of this technology is hampered by funding constraints and the availability of adequate devices. This study aims to develop and implement Smart PJU technology in Keputih Village, Indonesia, by involving collaboration between the Computer Engineering Study Program of PENS, village officials, and the local community. The resulting product, namely the Smart PJU Modular Device using Wireless technology, not only includes hardware for monitoring and controlling PJU lights, but also provides added value through increasing the level of domestic content (TKDN) and developing research in the Internet of Things (IoT). With this product, it has provided significant benefits to the people of Keputih Village, thus supporting and improving the quality of village infrastructure, as well as encouraging participation in the development of sustainable technology. Through this community service, the Keputih Village Community has obtained a practical solution to the problem of public street lighting and spurred innovation at the local level. Smart PJU has been installed on the PJU lights in the Keputih five-way intersection area and in front of the Keputih Village entrance. Smart PJU has been integrated with the website https://desabinaan.pens.ac.id/, where it can be monitored online whether the PJU lights are on or not, the voltage and current values ​​that flow, and allows you to control the lights remotely.
Co-Authors Ahmad Hanan Asy-syaf’ie Alfan Rizaldy Pratama Alfan Rizaldy Pratama Amin A, Muhammad Ardilla, Fernando Dadet Pramadihanto Dadet Pramadihanto Dewi Mutiara Sari Dewi Mutiara Sari Dewi Mutiara Sari Dias Agata Dwito Armono, Haryo Dwito Armono, R. Haryo Eko Henfri Binugroho Eko Susanto Ferdiansyah, Indra Fernando Ardila Heny Yuniarti Heny Yuniarti Iwan Kurnianto Wibowo Maretha Ruswiansari Maretha Ruswiansari, Maretha Mochamad Farhan Eka Widarto Mochamad Mobed Bachtiar Mochamad Mobed Bachtiar, Mochamad Mobed Muhammad Ramadhan Hadi Setyawan Putra Pratama, Firmansyah Raden Sanggar Dewanto Rafi Ahmad Romolo Reni Soelistijorini Riyanto Sigit Rizaldy Pratama, Alfan Sari, Dewi Mutiara Setiawardhana Setiawardhana Wibowo, Iwan Kurnianto