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JOURNAL OFFICIAL Indonesian Applied Research Computing and Informatics Official Publisher by PT. TERAS DIGITAL NUSANTARA KOTA BIMA, INDONESIA
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Indonesian Applied Research Computing and Informatics
Published by PT. Teras Digital Nusantara
ISSN : -     EISSN : 31108806     DOI : https://doi.org/10.64479/iarci
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Focus and Scope Indonesian Applied Research Computing and Informatics Indonesian Applied Research Computing and Informatics is a scientific journal that publishes applied research in the fields of computing and informatics. The journal aims to serve as a platform for academics, researchers, and practitioners to disseminate innovative, practical, and impactful technology-based solutions, particularly in the context of advancing science and technology in Indonesia. Scope of Topics Artificial Intelligence and Machine Learning Information Systems and Databases Cloud and Distributed Computing Image and Signal Processing Web and Mobile Technologies Software Engineering Intelligent Systems and Expert Systems Internet of Things (IoT) Cybersecurity and Cryptography Big Data and Analytics
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 11 Documents
 1   2 
An AHP-Based Decision Support System for Selecting the Best Service Between GrabBike Hemat and GrabBike Standard Afifah Trista Ayunda; Hendra Mayatopani; Ahmad Abdillah Hisyam
Indonesian Applied Research Computing and Informatics Vol. 1 No. 2: December (2025)
Publisher : PT. Teras Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64479/iarci.v1i2.174

Abstract

The development of online ride-hailing transportation services in Indonesia has introduced various service options, such as GrabBike Economy and GrabBike Standard, each offering distinct advantages in terms of cost, travel time, comfort, and safety. This study aims to develop a Decision Support System (DSS) based on the Analytic Hierarchy Process (AHP) method to assist Grab users in selecting the service that best matches their preferences. A quantitative research approach was employed, with data collected through an AHP pairwise comparison questionnaire distributed to 31 Grab users in the Tangerang area. The analysis revealed that cost was the most influential criterion, with a weight of 60.0%, followed by travel time (24.9%), comfort (10.4%), and safety (4.6%). Overall, GrabBike Economy achieved a higher aggregate priority score of 52.6%, slightly outperforming GrabBike Standard at 47.4%. These findings indicate that users prioritize affordability over comfort and safety when choosing ride-hailing services. However, the Consistency Ratio (CR) of 27.5% suggests that respondents' judgments were not sufficiently consistent. This study concludes that the AHP method is effective in supporting multi-criteria decision-making within the context of online ride-hailing transportation and provides practical insights for service providers to develop strategies that better align with user preferences.

Page 2 of 2 | Total Record : 11

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