STUDI EFISIENSI SISTEM PANEL SURYA TERSENSITISASI VARIASI DYE BERBASIS INTERNET OF THINGS (IOT)

SANJANA, MERIZIAN TRISTA and Rahmawati, Rahmawati (2025) STUDI EFISIENSI SISTEM PANEL SURYA TERSENSITISASI VARIASI DYE BERBASIS INTERNET OF THINGS (IOT). Undergraduate thesis, Sriwijaya University.

[thumbnail of RAMA_20201_03041382126115_COVER.jpg]
Preview
Image
RAMA_20201_03041382126115_COVER.jpg - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (370kB) | Preview
[thumbnail of RAMA_20201_03041382126115.pdf] Text
RAMA_20201_03041382126115.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (7MB) | Request a copy
[thumbnail of RAMA_20201_03041382126115_TURNITIN.pdf] Text
RAMA_20201_03041382126115_TURNITIN.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (6MB) | Request a copy
[thumbnail of RAMA_20201_03041382126115_0026117701_01_front_ref.pdf] Text
RAMA_20201_03041382126115_0026117701_01_front_ref.pdf - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (3MB)
[thumbnail of RAMA_20201_03041382126115_0026117701_02.pdf] Text
RAMA_20201_03041382126115_0026117701_02.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (796kB) | Request a copy
[thumbnail of RAMA_20201_03041382126115_0026117701_03.pdf] Text
RAMA_20201_03041382126115_0026117701_03.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (988kB) | Request a copy
[thumbnail of RAMA_20201_03041382126115_0026117701_04.pdf] Text
RAMA_20201_03041382126115_0026117701_04.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (797kB) | Request a copy
[thumbnail of RAMA_20201_03041382126115_0026117701_05.pdf] Text
RAMA_20201_03041382126115_0026117701_05.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (191kB) | Request a copy
[thumbnail of RAMA_20201_03041382126115_0026117701_06_ref.pdf] Text
RAMA_20201_03041382126115_0026117701_06_ref.pdf - Bibliography
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (316kB) | Request a copy
[thumbnail of RAMA_20201_03041382126115_0026117701_07_lamp.pdf] Text
RAMA_20201_03041382126115_0026117701_07_lamp.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (1MB) | Request a copy

Abstract

This research aims to design and analyze an Internet of Things (IoT)-based monitoring system to observe the performance of Organic Solar Cells (OSC) sensitized with variations of chlorophyll dye and mixed dyes (anthocyanin + chlorophyll + carotene). The system uses an INA219 sensor to measure voltage and current, which are then transmitted in real-time via the ESP32 WiFi module to the Blynk application. he results show that the highest voltage was recorded on day 3 with a value of 0.34 V using a series configuration, while the highest current was observed on day 10 at 200 µA with a parallel configuration. The highest power output in the series circuit occurred on day 2 at 60 µW, while in the parallel circuit it occurred on day 11 at 18 µW. Over 13 days of testing, a power degradation of up to 68.26% was observed. The highest efficiency was achieved in the series configuration at 0.1411%, whereas the parallel configuration reached 0.0392%. The results indicate that higher light intensity tends to increase the electrical power generated by Organic Solar Cells (OSC). To support real-time monitoring and performance evaluation of OSC, an Internet of Things (IoT)-based system was implemented. This system has proven effective in assisting the optimization of OSC utilization under various lighting conditions. Keywords : Organic Solar Cell, Internet of Things, Smart Monitoring, ESP32.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Kata Kunci : Organic Solar Cell, Internet of Things, Smart Monitoring, ESP32.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations > TK1087.B344 Photovoltaic power systems
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations > TK1087.B3453 Photovoltaic power systems.
Divisions: 03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User: Merizian Trista Sanjana
Date Deposited: 03 Jun 2025 01:48
Last Modified: 03 Jun 2025 01:48
URI: http://repository.unsri.ac.id/id/eprint/175009

Actions (login required)

View Item View Item