Volume XLII-4/W16
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W16, 581–585, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W16-581-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W16, 581–585, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W16-581-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  01 Oct 2019

01 Oct 2019

A STRUCTURAL MODEL OF ENTERPRISE GIS REQUIREMENT FOR JOHOR BAHRU CITY COUNCIL

N. S. Samsudin1, A. Ariffin1, U. Ujang1, Z. Tarmidi1, and A. Ahamad2 N. S. Samsudin et al.
  • 1Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81310 Johor, Malaysia
  • 2Johor Bahru City Council, Peti Surat 232, Jalan Dato Onn, 80720 Johor Bahru, Johor, Malaysia

Keywords: GIS, Municipal applications, Enterprise solution, Structural modelling, Urban management

Abstract. The city council has been using rapid information technology (IT), especially geographical information system (GIS) to improve their performance. Most initiatives in IT applications, including GIS, are limited to individuals of each department rather than supporting a comprehensive operating institution. Even though GIS is now increasingly popular, implementation of an enterprise system is low compared to developed countries. Lack of awareness on the importance of geospatial data, capability of GIS and GIS application are the reasons for the low implementation rate. In this study, the collection of information is based on the requirements of MBJB (Johor Bahru City Council) in the development of the structural model of Enterprise GIS which covers five departments. Enterprise GIS can help the council in their day-to-day management of their activities especially spatial data sharing to provide the better services to the public. The analysis is based on five categories which are data, organisation information, work information, technology information and process. Following that, analysis using four partial least squares structural equation modeling (PLS-SEM) based empirical studies was carried out to examine Enterprise GIS requirement. Data analysis was carried out using Software Packages SmartPLS. Structural model was constructed which showed the value of relationship between independent and dependent variables. The highest value was found to be the organization information.