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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES) JOURNAL OF APPLIED INFORMATICS AND COMPUTING
Suwatri Jura
Universitas Handayani Makassar
Computer Science & IT Economics, Econometrics & Finance

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Multi-modal sensor integration in chicken-fish-vegetable greenhouse agriculture based on internet of things Muhammad Risal; Pujianti Wahyuningsih; Suwatri Jura; Irmawaty Iskandar; Abdul Jalil
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 15, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v15.i1.pp138-149

Abstract

Integrated chicken-fish-vegetable farming is a type of agriculture that combines the benefits of them within a single ecosystem. The objective of this study is to develop a control and monitoring system for integrated greenhouse-based chicken-fish-vegetable farming using the internet of things (IoT). The monitoring method employs the integration of multi-modal sensors in the greenhouse, consisting of a camera, water level, DHT11, pH, TDS, DS18B20, light dependent resistor (LDR), and infrared (IR) sensor. The camera functions as a visual monitoring tool for the farm, water level sensor detects hydroponic water levels, DHT11 measures air temperature and humidity, pH sensor measures water acidity, TDS sensor detects water nutrients, DS18B20 measures pond water temperature, LDR detects weather conditions, and IR sensor measures sunlight intensity. The processing units used to control the sensors and output devices are the ESP32 and Raspberry Pi. The system outputs include a relay for pump control, an LCD for text messages, and IoT information visualization using the Blynk platform. The results of this study demonstrate that the multi-modal sensor device can effectively monitor the conditions of integrated greenhouse-based chicken-fish-vegetable farming, achieving an accuracy of up to 96%, with an average data transmission time of 6 seconds through the Blynk IoT platform.
Arduino Mega-Based Transporter Robot for Box Handling in a Maze Arena Abdul Jalil; Suwatri Jura; A.Edeth Fuari Anatasya; Mursalim Sawawi; Pujianti Wahyuningsih
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12825

Abstract

The objective of this study was to develop a transporter robot designed to move boxes from one location to another within an Arduino Mega-based maze arena. The problems addressed by this transporter robot include autonomous navigation in the maze area, detection of boxes based on their colors, transferring boxes from one location to another, and climbing inclined surfaces. The method used to control the transporter robot was based on input from the TCS3200 color sensor and ultrasonic sensors, which were employed to detect box objects and navigate the robot. The Arduino Mega was used to process sensor data and control the robot according to the sensor inputs. A servo motor was utilized to actuate the robot arm and gripper, while DC motors were used to drive the wheels of the transporter robot. The results of this study indicate that the transporter robot was able to complete the mission of navigating the maze and transferring box objects to their designated locations, achieving a success rate of up to 70%, with an average mission completion time of 6.8 minutes, while unsuccessful mission attempts required up to 9.6 minutes.
Co-Authors A.Edeth Fuari Anatasya Abdul Jalil Irmawaty Iskandar MUHAMMAD RISAL Mursalim Sawawi Pujianti Wahyuningsih