Indonesian Journal of Intelligence Data Science (IJIDS)
Vol 3 No 2 (2024): Volume 3 No 2 2024

SISTEM SMART GARDEN BERBASIS SENSOR KELEMBAPAN UNTUK EFISIENSI PENGELOLAAN AIR

Nilfred Patawaran (Universitas Musamus)
Efraim K. M. Mogogibung (Universitas Sam Ratulangi)
Cessi Rumondor (Universitas Sam Ratulangi)



Article Info

Publish Date
15 Nov 2024

Abstract

The main issue faced by farmers in Tagulandang District is limited access and efficiency in irrigation and fertilization of crops. To address this, the study proposes the implementation of automation technology enabling monitoring and control of agricultural land conditions. This research aims to design and develop a Smart Garden system capable of monitoring soil conditions and automatic control. The methodology includes system design, data collection, implementation, and testing phases. Findings indicate that sensor technology and automation in Smart Farming enhance efficiency and productivity of nutmeg farming in Tagulandang. Accurate soil moisture and pH sensors provide consistent data for monitoring. The automated irrigation and fertilization system efficiently manages water and fertilizer use, improving resource management and crop productivity. This study successfully implements a Smart Farming system with soil moisture, pH, and water level sensors to enhance efficiency and productivity in nutmeg farming in Tagulandang, SITARO. The automated system regulates irrigation and fertilizer application based on soil conditions without requiring internet connectivity. Results show improved resource utilization and increased crop productivity in challenging geographical conditions.

Copyrights © 2024






Journal Info

Abbrev

IJIDS

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science Mathematics

Description

The Indonesian Journal of Intelligence Data Science is a scientific journal that accepts and disseminates research results to advance science by publishing them twice a year in May and November. This journal accepts scientific writings based on the theme of Data Science, with the scope of research ...