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K. A. F. A. Samah
Universiti Teknologi MARA
Electrical & Electronics Engineering

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Reliability study on the adaptation of Dijkstra’s algorithm for gateway KLIA2 indoor navigation K. A. F. A. Samah; A. A. Sharip; I. Musirin; N. Sabri; M. H. Salleh
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1021.058 KB) | DOI: 10.11591/eei.v9i2.2081

Abstract

This paper describes a reliability study on the adaptation of Dijkstra’s algorithm (DA) in the indoor environment for navigation purposes. Gateway KLIA2 located at Sepang, Selangor, Malaysia has been chosen as the area for case study. Gateway KLIA2 is divided into 4 levels but this research focused on Level 2 only that consists of 129 shop lots. A survey conducted towards 68 public respondents before the adaptation and most of them responded that they are not aware of the surrounding of KLIA2 and are facing difficulties in finding the information or location of certain places inside the building. DA was chosen because it helps the users to navigate using the shortest path to destination. It is proven that through the adaptation of DA, we are able to provide the shortest distance for indoor navigation from current location to the destination location. G-INS is reliable based on the functionality and reliability testing conducted towards 15 users with the distance reduction of 47% t-test result of 0.01303 (p less than 0.05), indicates the system is accepted.
Mapping a hospital using OpenStreetMap and Graphhopper: A navigation system K. A. F. A. Samah; S. Ibrahim; N. Ghazali; M. Suffian; M. Mansor; W. A. Latif
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (530.752 KB) | DOI: 10.11591/eei.v9i2.2082

Abstract

We present a mobile-based navigation system with the emphasis on the pedestrian navigation for Hospital Kuala Lumpur (henceforth, HKL) named as HKLNS. This practical research aimed to provide support and help for the people who come to the HKL. Despite having signages, layouts and other types of guidance to help them navigate, they might not be sure their current location and the destination’s paths. By using the OpenStreetMap (OSM) and Graphhopper API as a solution, it managed to help people to navigate the surrounding of the HKL. The findings showed that users were able to know their current location and the system generated the shortest pedestrian paths to the desired location using both mappings. The functionality testing and experimental results surrounding HKL demonstrated the effectiveness of this approach. The HKLNS was reliable based on the functionality and validation testing conducted towards 5 respondents with 5 different case study, in which it manage to reduce more than 50% time taken with the t-test result of 0.00041 (p less than 0.05), indicated that the system was accepted.
Co-Authors A. A. Sharip I. Musirin M. H. Salleh M. Mansor M. Suffian N. Ghazali N. Sabri S. Ibrahim W. A. Latif