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Widyatmoko, Dekki
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Materials Science & Nanotechnology

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IMPLEMENTATION OF IOT-BASED SMART FARMING USING MQTT PROTOCOL: Elektronika Indra, Johan; Eka, Vanka; Widyatmoko, Dekki
Elektronika Sistem Senjata Vol 6 No 2 (2025): Jurnal Elkasista
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/elka.v6i2.573

Abstract

This research aims to implement smart farming solutions using the MQTT protocol within the framework of the Internet of Things (IoT). The use of IoT technology is expected to increase agricultural productivity and efficiency through better monitoring and control of crop conditions. Analysis, system design, tool development, and functionality testing are the methods used in this research. The results show that the developed system is capable of real-time monitoring of environmental parameters such as soil moisture, temperature, and lighting. This system can provide notifications to users through the red node dashboard regarding plant conditions and maintenance needs such as watering using integrated sensors and MQTT-based communication. This system can also use soil moisture sensor data as an indicator to manually control the water pump actuator at the water source by the user according to the soil moisture status. This research concludes that the implementation of IoT-based smart farming with MQTT protocol can improve efficiency in agricultural management, provide accurate and real-time information for better decision-making, and support the sustainability of agricultural production in the digital era.
ANALYSIS OF INFRARED SENSOR IMPLEMENTATION IN LINE FOLLOWER ROBOT A LITERATURE REVIEW OF DETECTION METHODS AND CONTROL ALGORITHMS Topik, Topik; Widyatmoko, Dekki; Pranoto, Eko
Elektronika Sistem Senjata Vol 6 No 2 (2025): Jurnal Elkasista
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/elka.v6i2.615

Abstract

The development of robotics technology shows significant evolution in the implementation of infrared sensors in line follower robots that integrate advanced detection methods and sophisticated control algorithms. This research aims to comprehensively analyse the implementation of infrared sensors through a structured literature review of eight major studies in the 2021-2025 range. A library research methodology was used with thematic analysis to categorise the findings based on sensor type, control algorithm, and performance metrics. The analysis shows the transformation from a single infrared sensor to a hybrid multi-modal system that integrates computer vision, ultrasonic, and colour sensors with improved detection accuracy, reaching an error rate of 0.1-85 pixels. Diversification of control algorithms from classical PID to fuzzy logic, neural network, and Q-learning proved superior adaptability to a dynamic environment with 66.67%-100% success rate. The convergence of wireless communication technology and autonomous learning capabilities marks the transition of the line follower robot into a platform for automated guided vehicles and autonomous mobile robots. The conclusion shows that infrared sensors maintain high relevance in modern robotics when integrated with advanced computational methods, providing a foundation for the development of intelligent and adaptive navigation systems for the implementation of Industry 4.0.
Co-Authors Eka, Vanka Eko Pranoto Indra, Johan Topik, Topik