Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Muhammad Irzi Suryanto Putra
Universitas Garut
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Rancang Bangun Sistem Irigasi Otomatis Berbasis Jaringan Sensor Nirkabel dan Monitoring Web Laravel Ilham Padia; Risan Fathan; Muhammad Irzi Suryanto Putra; Muhammad Nizar; Ade Rukmana; Sipa Nurpadillah; Andika Muhammad Nur Kholiq
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 11 No 1 (2026): JANUARY
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v11i1.7838

Abstract

Conventional irrigation often triggers water waste or crop failure due to inaccurate manual scheduling. This study aims to design, implement, and evaluate a web-based smart irrigation system prototype to optimize water management using Wireless Sensor Networks (WSN). The methodology utilizes a star topology with two YL-69 sensor nodes transmitting data via the ESP-NOW communication protocol directly to an ESP32 Gateway integrated with a Laravel website. The calibration procedure was strictly conducted through 30 independent reading repetitions for each soil variant sample. Experimental results show high accuracy with a Mean Absolute Percentage Error (MAPE) of 1.58% and a minimum error of 0.04% in extreme water-saturated conditions. The hardware system successfully controls a 12V solenoid valve based on an inverted active-low threshold control algorithm of < 40%. The Laravel platform achieves real-time telemetry synchronization without data lag, supported by network performance with a Packet Delivery Ratio (PDR) above 99% and stable latency between 242–252 ms. In conclusion, this system provides an efficient, fail-safe, and automated remote monitoring solution to support precision farming.
Co-Authors Ade Rukmana ANDIKA MUHAMMAD NUR KHOLIQ Ilham Padia Muhammad Nizar Risan Fathan Sipa Nurpadillah