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LINE TRACER PENYORTIR BARANG DENGAN QR CODE SEBAGAI PENGENALAN POSISI TARGET Putra, Wisnu Rahmat Dwi; Fauzi, Rizana; Ardias, Erwin; Subito, Mery; Indrajaya, Muhammad Aristo; Rahman, Yuli Asmi
Foristek Vol. 15 No. 1 (2025): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v15i1.752

Abstract

Robotic-based sorting systems offer an innovative solution to enhance efficiency and accuracy in the logistics industry. This research aims to design and implement a robotic system capable of automatically sorting goods by integrating barcode scanning technology and line tracer navigation. The system is built using an Arduino Mega 2560 as the main controller and is equipped with Stepper motors, DC motors, mecanum wheels, a GM65 barcode scanner, and various supporting actuators.Experimental results show that the GM65 sensor can optimally read barcodes at distances ranging from 15 to 55 cm. The servo motor demonstrates an accuracy rate of over 98%, while the Stepper motor performs optimally at a minimum voltage of 9.0 V. Additionally, line sensor calibration yields a threshold range between 528 and 573, ensuring accurate line detection. The system also exhibits stable movement with consistent speed and minimal travel time variation, indicating efficient operational performance.By integrating these technologies, the developed robotic sorter system significantly improves productivity, accuracy, and reliability in automated goods sorting processes. The implementation of this system is expected to support automation in the logistics sector and provide a practical solution to distribution management challenges in the era of Industry 4.0.
RANCANG BANGUN TEMPAT SAMPAH OTOMATIS DENGAN PEMILAH SAMPAH ORGANIK DAN ANORGANIK DISERTAI NOTIFIKASI SMS BERBASIS ARDUINO Santoso, Rudi Santoso; Qisti, Saiful; Subito, Mery; Sollu, Tan Suryani; Fauzi, Rizana; Ardias, Erwin
Foristek Vol. 13 No. 2 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i2.323

Abstract

Garbage is a material left over from human activities which is an environmental issue and causes environmental pollution. Humans themselves are lazy to throw garbage in its place or are accustomed to littering, causing garbage to be scattered everywhere which in turn can cause garbage pollution, unpleasant odors and in the end can cause flooding. In this study, we will make a tool to sort organic and inorganic waste along with an Arduino-based SMS notification, namely by making a tool to sort out the types of organic waste and inorganic waste types which will later be classified separately and collected in their own place so that the waste is not mixed. To distinguish organic and inorganic waste using a capacitive proximity sensor as a separator of organic waste, an inductive proximity sensor as a separator of inorganic waste, arduino nano as a microcontroller to run all the work of the tool system. Servo motor as a sorting drive. GSM SIM 800l module as a sender of SMS notification of garbage that has been successfully sorted.
RANCANG BANGUN TRAINER ROBOT LENGAN UNTUK PRAKTIKUM ROBOTIKA PADA PRODI S1 TEKNIK ELEKTRO FAKULTAS TEKNIK UNIVERSITAS TADULAKO Prasetyo, Bayu Putra; Fauzi, Rizana; Subito, Mery; Ardias, Erwin; Mustari, Aidynal
Foristek Vol. 14 No. 1 (2024): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.373

Abstract

Robotic arms are a type of robot that is currently developing rapidly in industry, this has caused robotics technology to become one of the mandatory subjects taught in universities. In the Undergraduate Department of Electrical Engineering, Faculty of Engineering, Tadulako University, the robotics course is a mandatory subject studied by students, especially students who take the weak current concentration (TEN). This research aims to provide students with an understanding of how to control a robot arm. The design of a robot arm system with 4 degrees of freedom is made using several types of control such as control using Arduino IDE software, push buttons and potentiometers. The results of testing the robot arm trainer after controlling it with three types of control were successful. In the first control using the Arduino IDE software control it shows that the direction of rotation of the motor rotates according to the program target given, in the second control using a push button it shows that the speed and acceleration are directly proportional to changes in motor degrees, then in the third control using a potentiometer it shows that the degree mapping on the potentiometer is directly proportional to the degree of the stepper motor. However, in the test there were differences in degree values ​​when the motor rotated which caused the resulting data to be inaccurate. This is due to a mismatch in tooth size between the belt and the stepper motor gear, causing wear on the belt.