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All Journal JREC (Journal of Electrical and Electronics) JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Agus Suwandi
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Carry and Go (CAGO): Robot AGV untuk Penyortiran Paket Berbasis Pemrosesan Citra lustini; Ferry Govert Anwar; Tony Lau; David Chow; Victor; Budi Yanto; Agus Suwandi; Raymond Erz Saragih
Journal of Digital Ecosystem for Natural Sustainability Vol 5 No 1 (2025): Juli 2025
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v5i1.299

Abstract

The rapid growth of e-commerce has led to an increasing volume of shipments, requiring more efficient logistics systems. Package sorting still largely relies on conveyor systems, which have limitations in terms of space, cost, and energy consumption. Therefore, this project develops CAGO (Carry & Go), an Automated Guided Vehicle (AGV) based on image processing, as a more flexible and energy-efficient alternative for package sorting. The methods used in this project include image processing with a camera to detect package colors, 5-channel line tracking sensor module for line following navigation, and ESP32 as the main control unit. The AGV is designed to automatically transport and sort packages based on color, which represents the delivery destination. With this approach, the AGV is expected to be an efficient solution for package sorting, especially for logistics companies with limited space and resources. Its flexibility, lower power consumption, and independence from large infrastructures like conveyor systems make it a more adaptable alternative for various logistics businesses.
Robot Penyiram Tanaman Otomatis Berbasis App Inventor Agus Suwandi; Abdul Hafid Paronda; Aeri Sujatmiko
JREC (Journal of Electrical and Electronics) Vol. 8 No. 1 (2020): JREC (Journal of Electrical and Electronics)
Publisher : Program Studi Teknik Elektro Fakultas Teknik Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/jrec.v8i1.2222

Abstract

The development of automation technology nowadays has allowed humans to do many things remotely, including daily activity such as watering plants. This study combines a mobile robot as a plant sprinkler and a smartphone as a remote control that uses Bluetooth as the connectors. Users can water plants remotely by using an application created with the App Inventor to control the Mobile Robot which is in charge of watering the field. Based on the test results, the sprinkler robot produces a current of 2 A and a voltage of 12 V with the heaviest water load that can be carried is 1 liter. The more water that is carried, the greater the measured voltage and current. The App Inventor application created successfully runs the sprinkler robot with an average delay of 1 second and the farthest distance is 5 m using a bluetooth module.
ArachnoSAR_A Quadruped Spider Robot Prototype with Haar Cascade-Based Face Detection to Support Search and Rescue Operations James Lim; Eril Sanjaya; Fernando; Augustian Gautama; Tino Winata Sumarno; Canniago Verrian; Andi Saputra; Agus Suwandi; Raymond Erz Saragih
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.386

Abstract

Search and rescue (SAR) operations often require access to areas that are hazardous or unreachable for human rescuers. This study developed ArachnoSAR, a low-cost four-legged (quadruped) spider robot prototype that integrates legged locomotion, camera-based human detection, and automatic notification. The robot is driven by eight SG90 servo motors controlled by an ESP32, while a Raspberry Pi processes the camera stream using a Haar Cascade classifier and sends detection photographs to a Telegram bot, accompanied by a buzzer alert. Preliminary indoor testing showed that the system detected frontal faces at distances of up to 300 cm at 12 to 17 frames per second, while locomotion tests recorded speeds of 0.55 cm/s on ceramic and 1.36 cm/s on asphalt surfaces, with an estimated operating time of about 51 minutes. Identified limitations include the requirement for frontal face orientation, sensitivity to low lighting, motion blur, and dependence on internet connectivity for notification. These results indicate that the prototype is feasible as a proof of concept, while highlighting the need for image stabilization, deep learning based detection, and offline communication for real SAR deployment.
Co-Authors Abdul Hafid Paronda Aeri Sujatmiko Andi Saputra Augustian Gautama Budi Yanto Canniago Verrian David Chow Eril Sanjaya Fernando Ferry Govert Anwar James Lim lustini Raymond Erz Saragih Tino Winata Sumarno Tony Lau Victor