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All Journal International Journal of Electrical and Computer Engineering Jurnal Ketahanan Nasional Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Journal of Applied Geospatial Information JURNAL INTEGRASI Journal of Applied Electrical Engineering Journal of Applied Computer Science and Technology (JACOST) Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Journal of Applied Mechanical Engineering and Renewable Energy (JAMERE) Proceeding Applied Business and Engineering Conference Journal of Applied Community Engagement (JACE) International Journal of Advanced Science Computing and Engineering Jurnal Rekayasa elektrika Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Daniel Sutopo Pamungkas, Daniel Sutopo
Politeknik Negeri Batam
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IoT-Based Tracking System of Transceiver Location Siti Aisyah; Ahmad Fauzy Daulay; Heru Wijanarko; Daniel Sutopo Pamungkas; Kamarudin Kamarudin
Jurnal Rekayasa Elektrika Vol 17, No 4 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1132.075 KB) | DOI: 10.17529/jre.v17i4.22347

Abstract

Object mapping based on location tracking methods has been widely used in various types of applications.     Most tracking systems recently use existing technology and infrastructure such as satellite, cellular and wireless (RF) technology. These existing technologies are high-cost technology that needs authorized permission to be integrated to the novel technology. This research proposed a cheap point to point device technology to track a location of a transceiver using GPS in a portable infrastructure using Line of sight radio communication. The tracking system design is connected to the IoT system in order to be more accessible. The proposed system using GPS as an identifier of the transceiver coordinate location and 433MHz radio module as media communication between transmitter and receiver. The use of a 433MHz radio frequency module which is free-license adds value to the system so that it will be easily accessed. The design of portable and internet-based devices also gives a positive value in which the system does not have to depend on existing infrastructure and the system can also be reached even if it is placed in remote areas. The system test results show that the system can be well accessed up to a distance of 6.8 km.
IoT-Based Tracking System of Transceiver Location Siti Aisyah; Ahmad Fauzy Daulay; Heru Wijanarko; Daniel Sutopo Pamungkas; Kamarudin Kamarudin
Jurnal Rekayasa Elektrika Vol 17, No 4 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v17i4.22347

Abstract

Object mapping based on location tracking methods has been widely used in various types of applications.     Most tracking systems recently use existing technology and infrastructure such as satellite, cellular and wireless (RF) technology. These existing technologies are high-cost technology that needs authorized permission to be integrated to the novel technology. This research proposed a cheap point to point device technology to track a location of a transceiver using GPS in a portable infrastructure using Line of sight radio communication. The tracking system design is connected to the IoT system in order to be more accessible. The proposed system using GPS as an identifier of the transceiver coordinate location and 433MHz radio module as media communication between transmitter and receiver. The use of a 433MHz radio frequency module which is free-license adds value to the system so that it will be easily accessed. The design of portable and internet-based devices also gives a positive value in which the system does not have to depend on existing infrastructure and the system can also be reached even if it is placed in remote areas. The system test results show that the system can be well accessed up to a distance of 6.8 km.
Sinyal Elektrik untuk Memperkaya Pengendalian Robot Jarak Jauh Daniel Sutopo Pamungkas
Jurnal Rekayasa Elektrika Vol 13, No 2 (2017)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v13i2.7114

Abstract

A remote control operator enables a robot to perform in a hazard or area which can not be reached by humans. To control the robot, several researchers have equipped a robot with a system which can give others types of feedback information, besides of visual feedback from the robot. One of the feedback types is haptic feedback. The aim of this feedback is to make the operator become immersed with the robot. The existing researchers are using electro-mechanics system. However, these systems are complex, bulky, and hence prevent a seamless embodiment between an operator’s body. The objective of this research is to develop a haptic feedback system combined with stereo vision feedback which compact, versatile and easy to fit. This system is tested to accomplish the task using mobile robot and robot arm. The result shows that this system can help the operator to control robot better.
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.
Sistem Pelacak Aset Berbasis IoT Daniel Sutopo Pamungkas; Muhammad Syafei Gozali; Abdurrahman Dwijotomo; Aliza, Siti Zurina; Herlina Sanjaya Nainggolan; A.Rizki Saputra
ABEC Indonesia Vol. 11 (2023): 11th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

The inventory system is an activity carried out by management that aims to identify, manage and know the location of the existence of goods in the building area. To reduce errors in entering asset data, a technology is needed, namely RFID (Radio Frequency Identification). The use of active RFID technology for asset tracking is by attaching tags to assets or items given a unique ID for identification and providing information on the availability of assets passing through a room. Where the type of RFID used in this system is the UHF RFID Reader type which has an ultra high frequency with Single Tag and Multi Tag testing methods. Where in testing the optimal RFID reader reading distance in the front direction with a distance of 6,5 meters. Then the RFID data is stored in the NodeMCU ESP8266 microcontroller which will then be sent to the MySQL database using the internet, then synchronized with the interface, so that the system is able to register each asset, then display the asset data that has been registered, and is able to display asset location information in 2 rooms.
Sistem Monitoring Kualitas Air Kolam Ikan Nila Daniel Sutopo Pamungkas; Amanda Martiza Rayhan; Muhammad Yusuf Al Qadri; Amanda Rafini; suharni, ela ayu
ABEC Indonesia Vol. 11 (2023): 11th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

Tilapia is a fish that has high economic value, simply cultivation techniques and affordable princes. In its cultivation, bofloc technology is used and water quality is adequate for tilapia cultivation. Some physical parameters that can be used to determine water quality include acidity (pH), water turbidity (total dissolved solids) and oxygen content in water (do). To ensure the succes of cultivation , breeders must periodically monitor the condition of tilapia ponds with an efficient monitoring tool using 20x4 I2C LCD. In its use, the reading on the sensor from the arduino uno microcontroller will directly display the condition of the biofloc pond water quality level such as the level of pH quality, water turbidity and oxygen content in water which is neededto maximize fish growth.
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.
Classification of Finger Movements Using EMG Signals with PSO SVM Algorithm Pamungkas, Daniel Sutopo; Risandriya, Sumantri K; Rahman, Adam
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 3 (2022)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.927 KB) | DOI: 10.62527/ijasce.4.3.100

Abstract

Electromyography (EMG) is a signal produced by human muscles when they contract or relax. This signal is widely used as a controller, for example, to control a robotic arm. This study aims to identify the pattern of finger movement in the form of finger movement using a bracelet-shaped device that has eight EMG sensors. This tool is placed on the lower right hand of a subject to get a signal from the EMG. This study uses the support vector machine (SVM) algorithm combined with the particle swarm optimization (PSO) method. For pattern recognition, the properties of the signal in the time domain are used. From this system, the success of pattern recognition is between 68% to 86%.
Analisis Crack Pada Robot Exoskeleton Lower LIMB Pamungkas, Daniel Sutopo; Fadhil Al Fadjri, Muhammad; Widiastuti, Hanifah
Journal of Applied Mechanical Engineering and Renewable Energy Vol 5 No 1: February 2025
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jamere.v5i1.1022

Abstract

Failure due to material fatigue can be potentially fatal as it may lead to fractures without any initial detectable deformation. Factors such as high maximum load and large stress cycles accelerate the material fatigue process. In the design of a lower limb exoskeleton robot, the strength and safety of the robot are primary focuses, particularly in the Link Joint mechanism. The comfort and safety of the structure are determined by the geometry and type of material used. Analysis using Fracture Mechanics is employed to evaluate cracks in the Link Joint mechanical structure, with the calculation of the Stress Intensity Factor (SIF) value as an indicator of the stress intensity on the crack due to load. This research aims to identify critical stress and estimate the service life of the mechanism through testing using Finite Element Method-based software, specifically Solidworks 2020.
Rancang Bangun dan Evaluasi Sistem Sortir Otomatis Barang dengan Metode Deteksi Objek YOLO v5 dan Kendali PLC Outseal Pamungkas, Daniel Sutopo; Shendy Saputra; Anastasya Andaresta Pelmelay
Journal of Applied Computer Science and Technology Vol 6 No 1 (2025): Juni 2025
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v6i1.1165

Abstract

Manual sorting in manufacturing is time-consuming, labor-intensive, and prone to errors, especially when items have similar colors and shapes. This study aims to design and implement an automatic sorting system for goods based on color and shape to enhance production efficiency. The system integrates a webcam for image acquisition, the YOLO v5 object detection algorithm for real-time classification, and the Outseal PLC to control actuators via a Ladder Diagram. An experimental method was used, with a dataset of 18 object types tested under three lighting conditions (daylight, low light, and ring light). Performance was evaluated using a confusion matrix, achieving an average accuracy of 88.26% and precision of 70.38%, with the best results under ring light illumination. These findings demonstrate that the proposed system can reduce operational costs and improve productivity for small- to medium-scale industries. Future work should include extended field testing and adaptive algorithms for varying lighting environments.
Co-Authors A.Rizki Saputra Abdullah Sani Abdullah Sani Abdurahman Dwijotomo Abdurrahman Dwijotomo Aditya Gautama Darmoyono Aditya Gautama Darmoyono Aditya Hanafi Adlian Jefiza Ahmad Fauzy Daulay Ahmad Hamim Thohari Ahmad Prasetya Dilaga Al-Tsurayya, Maw’Izhah Aliza, Siti Zurina Amanda Martiza Rayhan Amanda Rafini Amiruddin Amiruddin Anastasya Andaresta Pelmelay Anderson Pasaribu Andy Triwinarko Apriyan Hidayat Ardian Budi Kusuma Atmaja Ardian Budi Kusuma Atmaja Arif Wahyu Budiarto Arif Wahyu Budiarto Arini Dewi Lestari Situmorang Bayu Prayogo Setiawan Bayu Prayogo Setiawan Bismar Siregar, Bismar Budi Sugandi Catur Agus Lukitasari Daniel Indra Saputra Manurung Darmoyono, Aditya Gautama Dessy Oktani Diono, Diono Dirgan Timbang Dodi Radot Lumbantoruan Dodi Radot Lumbantoruan Eha S Sirait Eka Mutia Lubis Eko Rudiawan Jamzuri F Prebianto, Nanta Fadhil Al Fadjri, Muhammad Fadli Firdaus Fajar Rizki Feralia Fitri Futra, Asrizal Deri Ganda Surya Gautama, Adytia Geraldo Panjaitan Ginting, Pedro Imanuel Gozali, Muhammad Syafei Hanah Khoirunnisa Handri Toar Hanifah Widiastuti Hartono Hartono Hasnira Hasnira Herlina Sanjaya Nainggolan Heru Wijanarko Ica Apriana Ika K L N Suciningtias Ilham Febrianto Illa Aryeni Indra Daulay Indra Daulay Kamarudin Kamarudin Lindawani Siregar M. Alung Chaiyura Chanpal M. Naufal Airlangga Diputra Mahdaliza, Rahmi Metta Santiputri Michael Paul Smart Simbolon Mohammad Hasanuddin Muhammad Prihadi Eko Wahyudi Muhammad Syafei Gozali Muhammad Syafei Gozali Muhammad Yusuf Al Qadri Muhammad Zaenuddin Muhammad Zainuddin Lubis Nadhrah Wivanius Nadrah Wivanius Nesa Aqila Nizam, Farhan Noper Ardi Novita Ayu Dewanti Nur Sakinah Asaad Nur Sakinah Asaad Oktani, Dessy Parulian Pakpahan Pasaribu, Cindy Kristine Perdi Novanto Sihombing Precelia E Samosir Qoriatul Fitriyah Rafiqah Y D Salwa Rahman, Adam Rahmawati, Zahira Rahmi Mahdaliza Rahmi Mahdaliza Ricardo Silitonga, Jony Arif Risandriya, Sumantri K Risandriya, Sumantri K. Riska Analia Rizky Pratama Hudhajanto Rizky Pratama Hudhajanto Rokhayati, Yeni Sabrina, Raja Sakdiah Sakdiah Sani, Abdulah Saragi, Elsa Setiawan, A. Rido Shendy Saputra Siskha Handayani, Siskha Siti Aisyah Siti Aisyah suharni, ela ayu Sulistiono Sumantri Kurniawan Risandriya Sumantri Kurniawan Risandriya Susanto Susanto Swono Sibagariang Tambak, Josua Adrian Purba Tanu Dwitama Urip R Pangestu Wenang Anurogo Wicaksono, Muhammad Jaka Wimbang Widya Rika Puspita Yudiarta, Geri Yulfiana Harini Zulmi, Muhammad Afif