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INDONESIA
Journal of System and Computer Engineering
Published by Universitas Pancasakti Makassar
ISSN : -     EISSN : 27231240     DOI : -
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Programming Languages Algorithms and Theory Computer Architecture and Systems Artificial Intelligence Computer Vision Machine Learning Systems Analysis Data Communications Cloud Computing Object Oriented Systems Analysis and Design Computer and Network Security Data Mining
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 122 Documents
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Penerapan Tesseract OCR untuk Validasi Pembayaran Otomatis dalam E-Commerce Wijaya, Annisa Salsabila Apriliya; Auliyah, A Inayah; Jeffry, Jeffry; Aziz, Firman; Usman, Syahrul
Journal of System and Computer Engineering Vol 7 No 2 (2026): JSCE: April 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i2.2625

Abstract

The rapid expansion of e-commerce in Indonesia has resulted in a significant increase in digital transactions, necessitating expedited and precise payment verification. Administrators at the SweetJab hijab e-commerce platform must manually verify bank transfer receipts, a process that is time-consuming and susceptible to errors. This study utilises Optical Character Recognition (OCR) with the Tesseract engine as a supplementary approach for verifying transfer payments on the SweetJab website. The methodology encompasses image preprocessing (resizing to 200%, converting to greyscale, and enhancing contrast), employing Tesseract OCR with PSM 6 and an LSTM model for character recognition, and utilising regular expressions (regex) to extract structured transaction data. We employed Black Box Testing and Character Error Rate (CER) computations on 40 preliminary test samples and 40 post-implementation samples to assess the system. The initial test demonstrated an accuracy of 89.5%, which increased to 92.5% upon complete system integration. This study demonstrates that OCR is an effective method for extracting information from payment receipts, while maintaining security through a final manual verification by the administrator.
Design and Implementation of a Shrimp Pond Monitoring Information System Using Internet of Things and Android Application ROZALINA AMRAN, ROZALINA AMRAN
Journal of System and Computer Engineering Vol 7 No 2 (2026): JSCE: April 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i2.2633

Abstract

Shrimp ponds are a place built to cultivate shrimp, with a tropical climate that makes Indonesia one of the largest shrimp producers, both saltwater, freshwater and brackish water shrimp. For shrimp farming business people, it is one of the profitable business opportunities because it is easy to maintain and produces fantastic profits. Maintenance for shrimp pond cultivation can be done by checking water quality using litmus paper, a digital pH meter or a chlorine test kit. However, this method is still considered less efficient because water is taken from the pond repeatedly over time, which wastes time and energy, in addition, changes in water quality in the pond can occur at any time, causing shrimp death and causing farmers to fail to harvest. In this study, water temperature, water pH, and water current sensors were used to monitor water quality. Then the data from the water quality detected by the sensor will be received by the Esp32 microcontroller and then send the data to firebase. Firebase plays a role in storing and sending data to Android so that it can be displayed on a smartphone. Poor data values will cause a notification to appear on the farmer's smartphone so that the farmer does not need to check the pond location repeatedly.

Page 13 of 13 | Total Record : 122

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