DEVELOPING A WEB APPLICATION FOR MONITORING AND DATA ANALYSIS IN A PRECISION IRRIGATION SYSTEM BASED ON THE INTERNET OF THINGS

Maulida, Nurwahdaniah (2026) DEVELOPING A WEB APPLICATION FOR MONITORING AND DATA ANALYSIS IN A PRECISION IRRIGATION SYSTEM BASED ON THE INTERNET OF THINGS. Tugas Akhir thesis, University of Technology Yogyakarta.

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Abstract

ABSTRACT An Internet of Things (IoT)-based precision irrigation system enables real-time soil moisture monitoring and adaptive watering decisions. However, implementing such a system requires not only reliable monitoring and control devices but also a web application capable of presenting historical data, visualizing trends, and analyzing network performance factors that affect data consistency. This study aims to develop a web application for monitoring and data analysis within an IoT-based precision irrigation system using an ESP32 microcontroller and a capacitive soil moisture sensor. The system operates in two modes: automatic and manual. In automatic mode, the water pump activates when soil moisture falls within the 0–29.9% range, while manual mode allows users to control the pump via a web dashboard. Soil moisture data is transmitted over a Wi-Fi network and displayed in the web application through real-time monitoring and time-series graphs to illustrate data trends. Additionally, this study examines the impact of network stability on data consistency by evaluating network parameters, including latency, packet loss, and transmission delay. The research method used is a descriptive qualitative approach, with literature reviews, system design, implementation, field observations, and Black-Box testing of the web application. The research results show that the web application successfully displays real-time and historical soil moisture data, facilitating user monitoring and irrigation decision-making. Network analysis indicates that network instability can lead to data loss and irregular visualization patterns, potentially reducing irrigation monitoring accuracy. Therefore, the developed system serves not only as an irrigation monitoring and control solution but also as a data analysis tool to support more efficient and sustainable water management in precision agriculture. Keywords: ESP32, Internet of Things, Precision Irrigation, Web Monitoring, Data Visualization, Network Stability.

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General) > T201 Patents. Trademarks
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 07 May 2026 07:14
Last Modified: 07 May 2026 07:14
URI: http://eprints.uty.ac.id/id/eprint/19838

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