Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Economics, Management, and Entrepreneurship
Abdul Rahman Salim
STMIK Mardira Indonesia, Bandung
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
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.
Co-Authors Dheni Apriantsani Budiman Resti Aulia Damayanti Rr Isni Anisah Puspowati H