An IoT-Based Indoor Environmental Control System for Drosera sessilifolia Using the Fuzzy Type-2 Method

AULIA, RHIMBA (2026) An IoT-Based Indoor Environmental Control System for Drosera sessilifolia Using the Fuzzy Type-2 Method. Undergraduate thesis, UPN Veteran Jawa Timur.

[img]
Preview
Text
22081010095-cover.pdf

Download (1MB) | Preview
[img]
Preview
Text
22081010095_bab1.pdf

Download (143kB) | Preview
[img] Text
22081010095_bab2.pdf
Restricted to Repository staff only until 17 May 2028.

Download (936kB) | Request a copy
[img] Text
22081010095-bab3.pdf
Restricted to Repository staff only until 17 May 2028.

Download (1MB) | Request a copy
[img] Text
22081010095-bab4.pdf
Restricted to Repository staff only until 17 May 2028.

Download (151kB) | Request a copy
[img]
Preview
Text
22081010095_bab5.pdf

Download (13kB) | Preview
[img]
Preview
Text
22081010095_daftarpustaka.pdf

Download (167kB) | Preview
[img] Text
22081010095_lampiran.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy

Abstract

Drosera Sessilifolia requires a stable growing environment, particularly concerning air temperature, light intensity, and water level. This study aims to implement an Internet of Things (IoT) system utilizing the Type-2 Fuzzy Logic method with an ESP32 microcontroller to automatically monitor and control these parameters. Data obtained from the DS18B20 temperature sensor, LDR, and water level sensor are processed using the IT2FL method to control various actuators (a heater, Peltier cooler, LED lights, water pump, and fan). The system's status can be monitored in real-time via the Blynk platform.. The system proved capable of adapting to two different environmental conditions (indoor and terrace) by successfully maintaining the temperature within the optimal range of 26.5°C to 29.9°C, and stabilizing the water level between 0.6 and 1.4. Furthermore, the system automatically responded to low-light conditions (sensor ADC values of 2800 - 3774) by activating the LED lights. The implementation of the Type-2 Fuzzy Logic method also proved effective in tolerating sensor reading uncertainties, thereby preventing abrupt on-off transitions (switching) of the actuators. Overall, this system serves as an efficient and reliable solution to support the indoor cultivation of Drosera Sessilifolia.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorPutra, Chrystia AjiNIDN0008108605ajiputra@upnjatim.ac.id
Thesis advisorWahanani, Henni EndahNIDN0022097811henniendah.if@upnjatim.ac.id
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Q Science > QA Mathematics > QA76.6 Computer Programming
S Agriculture > SB Plant culture
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105 Computer Network
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.882 Internet
Divisions: Faculty of Computer Science > Departemen of Informatics
Depositing User: Rhimba aulia aulia
Date Deposited: 18 May 2026 02:15
Last Modified: 18 May 2026 02:15
URI: https://repository.upnjatim.ac.id/id/eprint/51830

Actions (login required)

View Item View Item