Implementasi Program Pengolahan Teks Timestamp pada Gambar Berbasis OCR pada Diskominfos Kota Denpasar

Abstract

The development of information technology encourages government institutions to improve the efficiency of digital field documentation data management. At the Denpasar City Department of Communication, Informatics, and Statistics (Diskominfos), the photo documentation upload process is still accompanied by the manual entry of supporting data, such as location coordinates, date and time, and street names. This study designs and implements a web application using the Flask framework and MySQL database to automate this process. The system enables batch processing of field photographs, automatically extracting timestamp texts using Tesseract Optical Character Recognition (OCR) combined with standard fixed-area cropping preprocessing. Based on evaluations using 50 test images, the system achieves an overall text extraction accuracy of 94.2% with an average processing time of 1.42 seconds per image. Functional evaluations using Black Box testing across 10 distinct operational scenarios demonstrate a 100% success rate, ensuring seamless flow from multi-file ingestion to Excel reporting. This study effectively eliminates manual entry redundancies, reduces human data entry errors, and establishes an integrated pipeline for automated institutional reporting.