Claim Missing Document
Check
Articles

Found 2 Documents
Search

SISTEM SMART GARDEN BERBASIS SENSOR KELEMBAPAN UNTUK EFISIENSI PENGELOLAAN AIR Nilfred Patawaran; Efraim K. M. Mogogibung; Cessi Rumondor
Indonesian Journal of Intelligence Data Science Vol 3 No 2 (2024): Volume 3 No 2 2024
Publisher : Faculty of Mathematics and Natural Sciences Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/ijids.v3i2.60507

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.
Implementation of IOT-Based Chili Plant Watering System Prototype with BLYNK Control Cessi Rumondor; Mans Lumiu Mananohas; Rillya Arundaa; Eric Alfonsius
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 3 (2025): Volume 6 Number 3 September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i3.483

Abstract

This research aims to design and implement a prototype of an Internet of Things (IoT)-based dual-mode irrigation system for chili plants, integrating automatic and manual control via the Blynk application. The background of this study is the need for efficient water management in chili farming, which is often constrained by traditional manual irrigation methods. The system is built using a NodeMCU ESP32 microcontroller connected to a capacitive soil moisture sensor, DHT11 sensor, and relay modules that control water and fertilizer pumps. The research method uses a prototyping model to design, build, and test the irrigation system. Real-time sensor data is transmitted to the Blynk dashboard, allowing farmers to monitor environmental conditions and control the pumps either automatically (based on threshold logic) or manually via smartphone. The calibration results show that the soil moisture sensor achieves 93.5% accuracy. Testing using the black-box method confirms that all system components function as expected, with responsive performance both in automatic and manual modes. The findings demonstrate that the dual-mode IoT-based irrigation system can maintain optimal soil moisture levels while providing flexibility for farmers to override the system based on real-world conditions. This hybrid solution offers a practical approach to modern agriculture, improving decision-making and efficiency in crop watering practices.