Digital Guestbook Using Optical Character Recognition Technology and Laravel Framework

Abstract

The use of information technology has become essential in improving operational efficiency and data accuracy, particularly in visitor registration systems. At PT. Pertamina Geothermal Energy Area Lahendong, visitor data collection was still carried out manually, often resulting in long queues, unreadable handwriting, and data management difficulties. This study proposes the development of a web-based digital guest book system using Optical Character Recognition (OCR) technology and the Laravel framework. OCR is employed to extract visitor data automatically from images of ID cards (KTP), eliminating the need for manual entry. The system was developed using the Rapid Application Development (RAD) methodology, which emphasizes iterative prototyping and user involvement. User Acceptance Testing (UAT) showed a high satisfaction score of 90.2%, categorized as "Very Good." In addition, OCR testing demonstrated 100% accuracy in extracting data from high-quality KTP images. The implementation of this system simplifies the visitor registration process, reduces the reliance on manual input, no need to leave the ID card at the security post, and enhances data security.