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IMPLEMENTASI ESP32 DAN SENSOR KELEMBAPAN TANAH DALAM RANCANG BANGUN SISTEM IRIGASI CURAH OTOMATIS PADA BIBIT KELAPA SAWIT (ELAEIS GUINEENSIS JACQ)

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Watering is a crucial factor in the oil palm (Elaeis guineensis Jacq.) nursery phase to ensure optimal seedling growth. Conventional irrigation processes are often labor-inefficient and susceptible to fluctuations in planting media moisture. This study aimed to implement and evaluate the performance of an Internet of Things (IoT)-based automatic sprinkler irrigation system design using an ESP32 microcontroller and soil moisture sensors. The research was conducted from December 2025 to March 2026 at the Plant House of the Agricultural Technology Department, Faculty of Agriculture, Universitas Sriwijaya. The methods used in this study included functional and structural design, as well as an experimental approach with two automatic irrigation treatments based on moisture thresholds (60% and 70%). The system was also integrated with the Blynk platform for real-time monitoring and Spreadsheets for data logging. The test results indicated that the moisture sensor readings showed an accuracy rate of 96.72%–98.13% with an average error of 2.54%. The water discharge ranged from 59.4 to 78.6 ml/minute, and the average coefficient of uniformity (CU) value was 90.31%. Overall, the implementation of this system successfully maintained soil moisture within the target test range, optimized water use, and facilitated remote monitoring for nursery managers.

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Detail Information

Series Title

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Call Number

T2007322026

Publisher

Indralaya : Prodi Teknik Pertanian, Fakultas Pertanian Universitas Sriwijaya., 2026

Collation

xvii, 70 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

631.607

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Teknik Pertanian
Sistem Irigasi Pertanian

Specific Detail Info

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Statement of Responsibility

MI

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