Hariyanti, Tika Ayu (2025) Sistem Penyiraman Otomatis Berbasis IoT Menggunakan Algoritma Fuzzy Logic Dengan Monitoring Mobile Apps. Undergraduate thesis, Universitas Hayam Wuruk Perbanas.
![[img]](http://eprints.perbanas.ac.id/style/images/fileicons/text.png) |
Text
ARTIKEL ILMIAH.pdf Restricted to Registered users only Download (1MB) |
|
|
Text
COVER .pdf Restricted to Registered users only Download (264kB) |
|
|
Text
BAB I.pdf Download (36kB) | Preview |
|
|
Text
BAB II.pdf Download (422kB) | Preview |
|
|
Text
BAB III.pdf Restricted to Registered users only Download (474kB) |
|
|
Text
BAB IV.pdf Restricted to Registered users only Download (392kB) |
|
|
Text
BAB V.pdf Download (93kB) | Preview |
|
|
Text
LAMPIRAN.pdf Restricted to Registered users only Download (435kB) |
Abstract
Greenhouses play a crucial role in modern agriculture by providing an ideal environment for plant growth, allowing farmers to control factors such as temperature, humidity, and light intensity regardless of external weather conditions. To maximize the effectiveness of this system, advanced sensor technology is essential for efficient and accurate environmental monitoring. However, challenges such as limited technological knowledge and lack of supporting infrastructure often hinder farmers, especially in rural areas. The integration of automation technology with IoT enables real-time monitoring and control of greenhouse conditions using temperature sensors, soil moisture sensors, and liquid fertilizer nutrient sensors, providing an efficient and sustainable solution for smart farming. This research utilizes IoT to monitor greenhouse conditions, optimizing plant growth through an automatic irrigation system controlled by the Fuzzy logic method. Various sensors and applications are tested to regulate precise watering, while a scheduled liquid fertilizer system ensures adequate nutrient supply once a week. The system significantly simplifies monitoring and management, aligning agricultural conditions with plant nutritional needs. Sensor accuracy tests yield promising results, with a temperature sensor error of 1.5% and a TDS sensor error of 35.5%, while the Fuzzy-based irrigation system activates the pump when soil moisture drops below 60%, making the automatic watering system for pine plants in greenhouses highly reliable.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Subjects: | 000 - COMPUTER SCIENCE, INFORMATION, GENERAL WORKS > 000 - 009 COMPUTER SCIENCE, INFORMATION, GENERAL WORKS > 000 - COMPUTER SCIENCE, INFORMATION, GENERAL WORKS |
| Divisions: | Bachelor of Informatics |
| Depositing User: | TIKA AYU HARIYANTI |
| Date Deposited: | 10 Mar 2025 07:40 |
| Last Modified: | 10 Mar 2025 07:40 |
| URI: | http://eprints.perbanas.ac.id/id/eprint/13124 |
Actions (login required)
 |
View Item |