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All Journal Jurnal Inovasi Teknologi Terapan Edu Elektrika Journal
Mahrijal, Mahrijal
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Agriculture, Biological Sciences & Forestry Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

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Obstacle Avoiding Berbasis Remote Control Cornelia, Noni; Jaka Pratama, Dwi; Zandiyanto, Alex; Mahrijal, Mahrijal; Dwisaputra, Indra
Edu Elektrika Journal Vol. 12 No. 1 (2024)
Publisher : LPPM Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/y8r25d05

Abstract

Abstract— This project aims to develop a remote-controlled obstacle-avoiding system using the MIT App Inventor application. The system comprises several key components, including an Arduino Uno, an HC-05 Bluetooth module, and ultrasonic sensors. The Arduino Uno serves as the main microcontroller that manages all hardware components. The HC-05 Bluetooth module is used to establish a connection between the system and a mobile application developed with MIT App Inventor. Ultrasonic sensors are utilized to detect obstacles around the vehicle. In its implementation, the MIT App Inventor application is employed to remotely control the vehicle's movement direction via Bluetooth connectivity provided by the HC-05 module. Data from the ultrasonic sensors are processed by the Arduino Uno to measure the distance to obstacles and automatically adjust the vehicle's direction if an obstacle is detected too close. Test results demonstrate that the system can effectively detect and avoid obstacles and can be controlled efficiently through the mobile application. The use of MIT App Inventor allows for the creation of an intuitive and user-friendly interface without requiring complex programming. This system has the potential to be applied to various types of autonomous vehicles and robotics, offering an efficient and easily implementable solution for remote-controlled obstacle avoidance.
Sistem Sortasi Biji Kopi Otomatis Menggunakan Sensor Warna TCS34725 dan Arduino Mega 2560 Zandianto, Alex; Mahrijal, Mahrijal; Irwan, Irwan
Jurnal Inovasi Teknologi Terapan Vol. 4 No. 1 (2026): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v4i1.412

Abstract

This research aims to design and develop an automatic coffee bean sorting system based on color and weight using the TCS34725 color sensor, HX711 load cell, stepper motor, servo motor, and an Arduino Mega 2560 microcontroller. The system is proposed to address the limitations of conventional manual sorting, which is time-consuming and inconsistent in quality. The methodology includes hardware design, electronic integration, microcontroller programming, and performance testing on coffee beans with various color categories. The TCS34725 sensor is used to capture RGB values for color classification, while the load cell measures the accumulated weight of sorted beans until reaching the predefined target. Experimental results show that the developed system achieves a color detection accuracy of 92.5% and a weight measurement error of 1.8 grams on average. Furthermore, the system is capable of stopping automatically when the target weight is reached. In conclusion, the proposed sorting system enhances efficiency and consistency in coffee bean classification and has potential applications for small industries and coffee-processing SMEs.
Co-Authors Cornelia, Noni Indra Dwisaputra Irwan Irwan Jaka Pratama, Dwi Zandianto, Alex Zandiyanto, Alex