RANCANG BANGUN SISTEM PENYIRAMAN OTOMATIS PADA TANAMAN AIR MATA PENGANTIN SEBAGAI VEGETASI LEBAH MADU KLANCENG BERBASIS INTERNET OF THINGS (IoT) MENGGUNAKAN ESP32 DEVKIT V1 DAN SPREADSHEET

Baretta, Patrick Aprilia (2026) RANCANG BANGUN SISTEM PENYIRAMAN OTOMATIS PADA TANAMAN AIR MATA PENGANTIN SEBAGAI VEGETASI LEBAH MADU KLANCENG BERBASIS INTERNET OF THINGS (IoT) MENGGUNAKAN ESP32 DEVKIT V1 DAN SPREADSHEET. S1 thesis, Universitas PGRI Madiun.

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Abstract

Patrick Aprilia Baretta. 2026. Design and Development of an Internet of Things (IoT)-Based Automatic Irrigation System for Heterotrigona itama Honey Bee Vegetation Gardens. Undergraduate Thesis. Electrical Engineering Study Program, Faculty of Engineering, Universitas PGRI Madiun. Supervisor (I) Irna Tri Yuniahastuti, S.Pd., M.T. (II) Ridam Dwi Laksono, S.Si., M.Pd. Manual plant irrigation often results in inconsistent soil moisture, which may inhibit plant growth and requires considerable time and effort for maintenance. This study aims to design and develop an Internet of Things (IoT)-based automatic irrigation system using the ESP32 DevKit V1 and Google Sheets to control irrigation while monitoring soil moisture conditions. The system consists of an ESP32 DevKit V1, three soil moisture sensors, a relay module, a water pump, an I2C LCD, a keypad, and a Wi-Fi network. Irrigation is performed automatically based on the average soil moisture value, where the water pump is activated when the soil moisture falls below 60% and stops when it reaches or exceeds 60%. The experimental results indicate that the automatic irrigation system achieved success rates of 79.1% on Friday, 100% from Saturday to Tuesday, 91.6% on Wednesday, and 64% on Thursday. Data monitoring through Google Sheets successfully displayed sensor readings with transmission success rates ranging from 63.5% to 98.9%. Furthermore, Coral Vine (Antigonon leptopus) plants irrigated using the automatic irrigation system exhibited better growth than those irrigated manually. The findings demonstrate that the developed system effectively supports automatic irrigation and efficient soil moisture monitoring. Keywords: Antigonon leptopus, Stingless Bee (Heterotrigona itama), ESP32 DevKit V1, Soil Moisture, Automatic Irrigation, Google spreadsheet.

Item Type: Thesis/Skripsi/Tugas Akhir (S1)
Kata Kunci: Keywords: Antigonon leptopus, Stingless Bee (Heterotrigona itama), ESP32 DevKit V1, Soil Moisture, Automatic Irrigation, Google spreadsheet.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknik > Teknik Elektro
Depositing User: BARETTA APRILIA PATRICK
Date Deposited: 14 Aug 2026 02:20
Last Modified: 14 Aug 2026 02:20
URI: http://eprint.unipma.ac.id/id/eprint/8891

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