IMPLEMENTASI SISTEM MONITORING KOTAK AMAL BERBASIS INTERNET OF THINGS MENGGUNAKAN NOTIFIKASI TELEGRAM

Firmansyah, Noval Adriyan (2026) IMPLEMENTASI SISTEM MONITORING KOTAK AMAL BERBASIS INTERNET OF THINGS MENGGUNAKAN NOTIFIKASI TELEGRAM. Sarjana (S1) thesis, Universitas Muhammadiyah Indonesia.

[thumbnail of PENDAHULUAN.pdf] Text
PENDAHULUAN.pdf

Download (1MB)
[thumbnail of BAB I.pdf] Text
BAB I.pdf
Restricted to Repository staff only

Download (20kB) | Request a copy
[thumbnail of BAB II.pdf] Text
BAB II.pdf
Restricted to Repository staff only

Download (536kB) | Request a copy
[thumbnail of BAB III.pdf] Text
BAB III.pdf
Restricted to Repository staff only

Download (464kB) | Request a copy
[thumbnail of BAB IV.pdf] Text
BAB IV.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy
[thumbnail of BAB V.pdf] Text
BAB V.pdf
Restricted to Repository staff only

Download (10kB) | Request a copy
[thumbnail of DAFTAR PUSTAKA.pdf] Text
DAFTAR PUSTAKA.pdf

Download (77kB)

Abstract

Charity box fund management is generally carried out manually, requiring considerable time and potentially causing recording errors. This study aims to design and implement an Internet of Things-based charity box monitoring system using an ESP32 microcontroller, an LM393 speed sensor, a TCS3200 color sensor, a 16×2 LCD, and a Telegram Bot. The LM393 sensor is used as an initial detector of banknote presence, while the TCS3200 color sensor is utilized to read RGB values as the basis for identifying the denominations of the 2022 series Indonesian Rupiah banknotes. The test results show that the LM393 sensor successfully detected banknotes with an accuracy of 100% and an error rate of 0%. Banknote denomination identification using the TCS3200 sensor achieved an accuracy of 96.67% for the Rp1,000 and Rp10,000 denominations, and 100% for the Rp2,000, Rp5,000, Rp20,000, Rp50,000, and Rp100,000 denominations. Telegram Bot testing demonstrated a 100% success rate in notification delivery and command response. Furthermore, overall system testing conducted in 30 trials achieved an accuracy of 100% with an error rate of 0%. The results indicate that the system is capable of performing banknote detection, denomination identification, balance calculation, information display on the LCD, and automatic real-time notification delivery through the Telegram Bot. Therefore, the proposed system was successfully implemented and can be utilized as a practical, accurate, and transparent solution for charity box monitoring and donation recording.

Keywords: charity box monitoring, Internet of Things, ESP32, TCS3200, LM393, Telegram Bot.

Item Type: Thesis (TA, Skripsi, Tesis, Disertasi) (Sarjana (S1))
Contributors/Dosen Pembimbing,NIDN Dosen bisa diakses di LINK https://bit.ly/NIDNdosenunismabekasi:
Contribution
Contributors / Dosen Pembimbing
NIDN
UNSPECIFIED
Firasanti, Annisa
0412108901
UNSPECIFIED
Hasad, Andi
0323047503
Keywords / Kata Kunci: Keywords: charity box monitoring, Internet of Things, ESP32, TCS3200, LM393, Telegram Bot.
Subjects: Kendali/Kontrol
Konversi Energi
Faculty: Fakultas Teknik > Teknik Elektro S1
Depositing User: Mr. Noval Adriyan
Date Deposited: 10 Aug 2026 07:49
Last Modified: 10 Aug 2026 07:49
URI: http://repository.umindonesia.ac.id/id/eprint/10510

Actions (login required)

View Item View Item