*Result*: Web-based Hall Reservation Information System at the Ministry of Religious Affairs in Kapuas Regency.
*Further Information*
*The Ministry of Religious Affairs Office in Kapuas Regency is a government agency responsible for managing religious affairs. The office has a hall that can be used for events or activities organized by internal office units or external organizations. Currently, the reservation process for this agency relies on a notebook to record reservation data. This manual process is time-consuming and prone to errors, necessitating an information system to manage hall reservation data. The hall reservation information system is designed to streamline the reservation management process and provide real-time access to reservation data. The system was developed using the SDLC method with the waterfall model. The planned system design was implemented as a website, built using the PHP programming language with the Laravel framework and MySQL database. The results of the study indicate that the developed information system effectively addresses the existing issues in the hall reservation process at the Ministry of Religious Affairs Office in Kapuas Regency. [ABSTRACT FROM AUTHOR]*
*تتناول المقالة تطوير نظام معلومات حجز القاعات عبر الإنترنت لوزارة الشؤون الدينية في مقاطعة كابواس، إندونيسيا، والذي يهدف إلى تحسين كفاءة ودقة عملية حجز القاعات. في السابق، كانت الحجوزات تُدار يدويًا من خلال دفتر ملاحظات، مما أدى إلى حدوث أخطاء وتعارضات في الجدول الزمني. النظام الجديد، الذي تم تطويره باستخدام لغة البرمجة PHP مع إطار عمل Laravel وقاعدة بيانات MySQL، يُبسط عملية الحجز، مما يسمح بالوصول الفوري إلى معلومات الجدول الزمني ويقلل من الوقت المطلوب لإجراء الحجوزات. إن تنفيذ هذا النظام يعالج النواقص المحددة في العملية القديمة ويعزز كفاءة الإدارة بشكل عام. [Extracted from the article]
Copyright of KnE Social Sciences is the property of Knowledge E DMCC and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)*