Skripsi

MONITORING SUHU DAN KELEMBABAN MEDIA TANAM RAKIT APUNG BERBASIS SENSOR MIKROKONTROLER ARDUINO UNO R3

---

Penilaian

---

Peat swamp lands are classified based on the duration and Depth of water inundation, which significantly affects plant growth quality. An automated monitoring system was developed using pH, temperature, and humidity sensors integrated with IoT for real-time observation. This study aims to evaluate a temperature and humidity monitoring system based on Arduino Uno R3 applied to a floating raft hydroponic growing medium in peat swamp lands. A descriptive quantitative method was used to assess the performance of the Arduino Uno R3- based automated system in monitoring soil temperature and humidity in floating raft hydroponics on swamp land. The research was conducted from February to March 2025 at the Field Laboratory of Soil Science, Faculty of Agriculture, Sriwijaya University. The calibration results showed varying accuracy levels between 78.41% and 98.25% (with the highest accuracy found in Sensor 3, which had an absolute error of 3.11 and standard deviation of 3.66). The system successfully maintained stable soil moisture measurements between 65–68%, and the average air temperature recorded was 32.42°C, despite technical challenges such as a sensor error of 9.47%.In conclusion, the monitoring system using Arduino Uno R3 with Resistive Soil Sensor and DHT11 effectively measured the real-time soil moisture and air temperature in floating raft hydroponics on peat swamp land. The test results showed varying soil moisture sensor accuracy: sensor 1: 78.41%, sensor 2: 92.19%, sensor 3: 98.25%, and sensor 4: 93.04%. Soil moisture values remained in the 65–68% range, and the average air temperature was 32.42°C, indicating suitable conditions for the optimal growth of pakcoy (Brassica rapa L.). The measurement precision was also considered good, with the DHT11 temperature sensor showing a coefficient of variation of 1.36%, and the soil moisture sensors having 9.47%, 4.48%, 4.56%, and 5.19%, respectively. These findings indicate that the system is capable of providing sufficiently accurate and consistent data for agricultural environmental monitoring.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2507003883	T177536	T1775362025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T1775362025

Publisher

Indralaya : Prodi Teknik Pertanian, Fakultas Pertanian Universitas Sriwijaya., 2025

Collation

xi, 102 hlm.; 29 cm.

Language

Indonesia

ISBN/ISSN

-

Classification

631.07

Content Type

Text

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Teknik Pertanian

Specific Detail Info

-

Statement of Responsibility

MI

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment