DEVELOPMENT OF RECEIPT DATA EXTRACTION IN FINANCIAL MANAGEMENT APPLICATIONS USING OPTICAL CHARACTER RECOGNITION

Janitra, Syammari Rama (2026) DEVELOPMENT OF RECEIPT DATA EXTRACTION IN FINANCIAL MANAGEMENT APPLICATIONS USING OPTICAL CHARACTER RECOGNITION. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

Personal financial management often faces obstacles in terms of consistency in recording transactions due to manual data entry processes that are time-consuming and prone to human error. This research aims to develop a web-based financial management application called Pockane that integrates Optical Character Recognition (OCR) technology for automated data extraction from shopping receipts. The system is built using a decoupled architecture, utilizing the Laravel framework for the user interface and Flask deployed on DigitalOcean infrastructure as the OCR processing engine using Tesseract. The research method includes the implementation of various image preprocessing techniques such as grayscaling, denoising, and binarization to improve character recognition accuracy. The test results show that the combination of image preprocessing significantly reduces the Character Error Rate (CER) in various receipt conditions. System quality evaluation conducted by a few respondents using the System Usability Scale (SUS) method resulted in a score of 75, categorizing the Pockane application in the "Good" predicate. Thus, the integration of OCR in the Pockane application is proven effective in assisting users to perform financial recording automatically, accurately, and efficiently.

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
Thesis advisor	Aditiawan, Firza Prima	NIP19860523 202121 1 003	firzaprima.if@upnjatim.ac.id
Thesis advisor	Maulana, Hendra	NIP19831223 202521 1 040	hendra.maulana.if@upnjatim.ac.id

Subjects:

Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76.6 Computer Programming
T Technology > T Technology (General) > T385 Computer Graphics
T Technology > TR Photography

Divisions:

Faculty of Computer Science > Departemen of Informatics

Depositing User:

Syammari Rama Janitra

Date Deposited:

27 Jul 2026 01:21

Last Modified:

27 Jul 2026 01:36

URI:

https://repository.upnjatim.ac.id/id/eprint/58123