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Analysis Of the Health Decision-Making System for Elderly Hajj Pilgrimages in A Tour & Travel Company in Bandung Using the Simple Additive Weighting (SAW) Algorithm Abdul Rahman Salim; Rr Isni Anisah Puspowati H; Dheni Apriantsani Budiman; Resti Aulia Damayanti
Journal of Economics, Management, and Entrepreneurship Vol. 4 No. 1 (2026): Journal of Economics, Management, and Entrepreneurship
Publisher : P3M, STIE Pasundan, Bandung, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/jeme.v4i1.01

Abstract

In Indonesia, the proportion of senior pilgrims performing the Hajj is rising annually, and by 2024, it will account for almost 30% of the total quota. In this case, particular consideration must be given to pilgrims' health readiness prior to departure. Inaccuracies, delayed information, and subjective decision-making may result from the manual health evaluation process used by a Bandung tour and travel agency for pilgrims. The purpose of this study is to use the Simple Additive Weighting (SAW) algorithm to develop a web-based decision support system and examine the decision-making process for the health of senior Hajj pilgrims. Rapid Application Development (RAD) is used in the system development process. Physical fitness, blood pressure, and blood glucose levels are among the health parameters that are used. The system's ability to objectively determine pilgrims' eligibility, rank them, and recommend testing results based on health categories (Accompanied, Unaccompanied, Recommended) demonstrates its objectivity. This solution reduces assessment errors, speeds up the evaluation process, and improves data management effectiveness.
Implementation Of Face Recognition In Employee Attendance System Case Study In Bandung Computer Education Nita Aprianti; RR.Isni Puspowati; Asep Suherman; Resti Aulia Damayanti
Informatics Management, Engineering and Information System Journal Vol. 3 No. 2 (2025): Informatics Management, Engineering and Information System Journal
Publisher : LPPM STMIK Mardira Indonesia

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Abstract

As technology advances, administrative activities, such as attendance management, have transitioned from manual techniques to digital platforms, facilitating more efficient access.  At Bandung Computer Education, the employee attendance system remains manual, with attendance documented in Excel and evidence of attendance transmitted via WhatsApp. This procedure requires time for validation and does not ensure data security.  The utilization of facial recognition technology serves as an efficient solution, facilitating automatic attendance tracking, minimizing the risk of mistakes, and managing data without manual entry in Excel or through photo verification using WhatsApp.  This research seeks to create a face recognition-based attendance system that enhances accessibility for employees.  This research encompasses the phases of system design and development, commencing with needs analysis and culminating in implementation.  A needs analysis is conducted through surveys and interviews.  The employed system development methodology is the prototype technique.  The study's results indicate that the built facial recognition system has enhanced the accuracy of attendance recording and bolstered data security.   This system is regarded as more accessible to employees.