Articles
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
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DOI: 10.17529/jre.v17i4.22347
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
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Download Original
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Original Source
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Check in Google Scholar
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DOI: 10.17529/jre.v17i4.22347
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
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DOI: 10.17529/jre.v13i2.7114
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)
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DOI: 10.52158/jace.v2i1.308
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
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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
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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
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DOI: 10.11591/ijece.v13i6.pp6926-6939
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
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DOI: 10.62527/ijasce.4.3.100
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
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DOI: 10.52158/jamere.v5i1.1022
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.
Sistem Monitoring Kolam Bioflok Bagi Petani Ikan Nila di Pulau Batam
Pamungkas, Daniel Sutopo;
Aryeni, Illa;
K L N Suciningtias, Ika;
Y D Salwa, Rafiqah;
R Pangestu, Urip;
E Samosir, Precelia;
Hasanuddin, Mohammad;
S Sirait , Eha
Journal of Applied Community Engagement Vol. 5 No. 1 (2025): Journal of Applied Community Engagement (JACE)
Publisher : ISAS (Indonesian Society of Applied Science)
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DOI: 10.52158/jace.v5i1.1128
This project aims to develop an Internet of Things (IoT)--based water quality monitoring system specifically designed for optimizing tilapia cultivation. This system utilizes electronic sensors to monitor Total Dissolved Solids (TDS) parameters, pH, temperature, and dissolved oxygen (DO). The data obtained is processed by an ESP32 microcontroller and displayed in real time on an LCD screen, making it easier for farmers to monitor water conditions. An additional feature in the form of a buzzer alarm provides an early warning if the water quality parameters are outside the safe threshold. With this system, farmers can quickly take corrective action, minimize the risk of fish mortality, and increase resource use efficiency. The system implementation results are expected to support economic and environmental sustainability in tilapia cultivation.