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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.
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.
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)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jace.v5i1.1128

Abstract

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.
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.
Sistem Kostum Kontrol Otomatis dan Monitoring Rumah Menggunakan ESP32 Tambak, Josua Adrian Purba; Nizam, Farhan; Sabrina, Raja; Pamungkas, Daniel Sutopo
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.v8i1.7585

Abstract

Sistem kostum kontrol rumah otomatis menggunakan ESP 32 adalah sebuah sistem yang dirancang untuk mengontrol dan memonitoring keamanan rumah secara efektif. Sistem ini menggunakan ESP 32 sebagai pengendali utama untuk memproses informasi dan mengirimkan perintah ke perangkat lain yang terhubung ke dalam sistem. Sistem ini terdiri dari beberapa perangkat seperti sensor suhu, sensor kelembapan, dan smoke detector. Fitur tambahan memungkinkan pemantauan real-time dan kendali jarak jauh melalui aplikasi terhubung ke internet. Pengujian modul output dan input mikrokontrol menunjukkan fungsi relay yang baik. Pengujian software Android menegaskan kemampuan aplikasi mengontrol sistem dengan sukses, sementara analisis delay sekitar 9,67 detik untuk perintah ON dan 10,99 detik untuk perintah OFF. Variasi delay menjadi pertimbangan untuk pengembangan selanjutnya guna mengoptimalkan respons sistem. Keseluruhan, sistem ini berhasil meningkatkan keamanan rumah, memberikan kenyamanan pengguna, dan dapat diakses dari jarak jauh melalui internet.
Multimeter Portabel Pengukur Nutrisi Tanah Pertanian untuk Kelompok Tani Maju Mandiri di Pulau Setokok Gozali, Muhammad Syafei; Kamarudin, Kamarudin; Wijanarko, Heru; Futra, Asrizal Deri; Darmoyono, Aditya Gautama; Oktani, Dessy; Hasnira, Hasnira; Mahdaliza, Rahmi; Lubis, Eka Mutia; Wicaksono, Muhammad Jaka Wimbang; Pamungkas, Daniel Sutopo; Zaenuddin, Muhammad; Setiawan, A. Rido; Zulmi, Muhammad Afif; Ginting, Pedro Imanuel; Pasaribu, Cindy Kristine; Amiruddin, Amiruddin
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 5 No. 1 (2023): 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.v5i1.5543

Abstract

Today, the current development of Batam City is not only in the development of industrial and tourism areas but also leads to the development of agriculture and plantations. This was done as a form of effort in maintaining food security for areas in Batam City, where initially a lot of food needs were supplied from areas on the island of Sumatra. The city of Batam, whose territory consists of islands, creates obstacles in the development of agricultural land and plantations. Among them are types of soil that are difficult for seasonal crops to grow; water resources that depend on rainwater; as well as access to agricultural and plantation locations that are spread across several islands, making it difficult to deliver logistics and agricultural products. Soil conditions greatly affect the quality of the plants produced, and the type of soil will affect the types of plants suitable for planting. Based on these obstacles, the Batam State Polytechnic formed a Community Service team to support the agricultural land development program, one of which was the development team for portable soil condition measuring devices in collaboration with a partner from "Kelompok Tani Maju Mandiri" on Setokok Island. Community service activities are carried out in stages, apart from field surveys in order to identify the needs of farmer groups, the current community service period has reached the development of portable soil condition measuring devices with test results still in laboratory testing and not yet testing on actual agricultural land. The field survey results describe the condition of the partner's agricultural soil, which is brownish-red in color, mostly clay. Plants that are quite successful in the form of green curly chili plants. The water source comes from small rain-fed reservoirs prepared around agricultural land. The results of the measuring instrument design have reached the laboratory testing stage, which has shown the value of soil nutrition. Testing measurements on agricultural land directly and assisting partners in operating measuring instruments will be carried out at the next community service stage.