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Rancang bangun sistem robot AGV untuk penyortiran paket ekspedisi dengan fitur anti collision Tamara, Mohamad Nasyir; Utomo, Eko Budi; Tamami, Ni’am; Pitowarno, Endra; Satria, Novian Fajar; Purnomo, Didik Setyo; Hilmi, Wildan; Sugianto, Cahyo
JURNAL ELTEK Vol. 20 No. 2 (2022): Oktober 2022
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/eltek.v20i2.359

Abstract

Robot Automated Guided Vehicle (AGV) secara luas diterapkan di berbagai tempat seperti pabrikasi dan manufaktur yang telah menggunakan sistem otomatis, khususnya pada area pergudangan. Ferlib AGV merupakan robot pembawa barang yang didesain khusus untuk membawa dan memindah barang. Robot Ferlib AGV diciptakan untuk memenuhi kebutuhan para pekerja dalam sistem tata kelola pergudangan di industri terutama pekerjaan yang bergerak dalam bidang ekspedisi pengiriman barang. Pada saat beberapa robot berjalan di ruang atau daerah kerja yang sama, terdapat masalah yang mungkin terjadi dalam manajemen lalu lintas salah satunya adalah tabrakan. Penelitian ini bertujuan untuk membuat sebuah sistem yang dapat membuat robot menuju ke posisi yang diinginkan dan sebuah sistem yang dapat menghindari terjadinya tabrakan untuk diimplementasikan pada robot Ferlib AGV sebagai robot pembawa barang. Ada dua jenis konflik yang dapat menyebabkan terjadinya tabrakan yaitu Node Conflict dan Opposite Conflict. Robot mendeteksi konflik menggunakan sensor Position Sensitive Device (PSD) jenis inframerah. Untuk menyelesaikan konflik antar robot dimulai dari perencanaan jalur yang sesuai, dan dasar efektivitas tugas penjadwalan pergerakan robot. Hasil dari sistem ini telah mampu membuat robot Ferlib AGV sebagai robot pembawa barang yang dapat membawa barang menuju posisi koordinat berdasarkan posisi yang diberikan, serta dapat mendeteksi konflik dan melakukan penghindaran berdasarkan jenis konflik yang terjadi. ABSTRACT Automated Guided Vehicle System (AGVs) robots are widely applied in various places such as manufacturing and manufacturing that have used automated systems, especially in warehousing areas. Ferlib AGV is a freight robot specifically designed to carry and move goods. The Ferlib AGV robot was created to meet the needs of workers in the warehousing governance system in the industry, especially jobs engaged in the transportation and transfer of goods. When several robots run in the same work space or area, there are problems that may occur in traffic management, one of which is a collision. This study aims to create a system that can make the robot go to the desired position and a system that can avoid collisions to be implemented on the Ferlib AGV robot as a freight robot. There are two types of conflicts that can cause collisions, namely Node Conflict and Opposite Conflict. Robots detect conflicts using an infrared sensor type Position Sensitive Device (PSD). To resolve conflicts between robots starts from the appropriate path planning, and the basic effectiveness of the task of scheduling robot movements. The results of this system have been able to make Ferlib AGV robots as goods-carrying robots that can carry goods to coordinate positions based on the given position, and can detect conflicts and avoidance based on the type of conflict that occurs.
Pemantauan Konsumsi Air Pada Prototipe Gedung Tiga Lantai Berbasis Internet of Things Achmad Fauzan, Bagas Dwi Atmaja; Utomo, Eko Budi; Purnomo, Didik Setyo
Jurnal FORTECH Vol. 6 No. 1 (2025): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v6i1.6106

Abstract

Monitoring water consumption with the Internet of Things (IoT) is a significant innovation in improving water utilization efficiency in multi-story buildings. This research develops a monitoring system on a three-story building prototype, which combines the MQTT protocol, the Node-Red visualization platform, and two sensors: the YF-B6 and the analog water flow meter sensor. The YF-B6 sensor measures the number of pulses from the water flow to determine the volume, flow rate, and velocity of the water, while the analog water flow meter sensor is integrated with the ESP32-CAM module to capture images of the water flow indicator and process them into volume values using image processing. Data from both sensors are sent to the cloud MQTT broker and visualized interactively through the Node-Red dashboard. This system is implemented on a three-story building prototype to replicate the distribution and monitoring of water usage on each floor. The research results indicate that this system can provide water consumption data with an error percentage of 0.2% and an absolute error of 0.03 m³. This system will also be used for the industrial automation workshop learning module to introduce the Internet of Things (IoT) in an educational environment.
Pemantauan Konsumsi Air Pada Prototipe Gedung Tiga Lantai Berbasis Internet of Things Achmad Fauzan, Bagas Dwi Atmaja; Utomo, Eko Budi; Purnomo, Didik Setyo
Jurnal FORTECH Vol. 6 No. 1 (2025): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v6i1.6106

Abstract

Monitoring water consumption with the Internet of Things (IoT) is a significant innovation in improving water utilization efficiency in multi-story buildings. This research develops a monitoring system on a three-story building prototype, which combines the MQTT protocol, the Node-Red visualization platform, and two sensors: the YF-B6 and the analog water flow meter sensor. The YF-B6 sensor measures the number of pulses from the water flow to determine the volume, flow rate, and velocity of the water, while the analog water flow meter sensor is integrated with the ESP32-CAM module to capture images of the water flow indicator and process them into volume values using image processing. Data from both sensors are sent to the cloud MQTT broker and visualized interactively through the Node-Red dashboard. This system is implemented on a three-story building prototype to replicate the distribution and monitoring of water usage on each floor. The research results indicate that this system can provide water consumption data with an error percentage of 0.2% and an absolute error of 0.03 m³. This system will also be used for the industrial automation workshop learning module to introduce the Internet of Things (IoT) in an educational environment.