Abstract:
Many e-governance systems have been designed and implemented, but they do not adequately consider the needs and aspirations of the citizens. Also, most of them do not adopt efficient techniques for utilizing large amount of data that are deposited daily on e-government environment. In this work, a framework for Citizen-centric E-government System (CES) was designed to correct these problems. The framework is divided into three levels, namely; Citizen Centre (CC), Data Collation Mining (DCM) and Decision Support (DS). The CC provides the interface through which all categories of citizens participate in government programmes. The CC allows all forms of data to be captured using SMS, Web, Speech, E-mail and multimedia interfaces. In the DCM, standard Apiori data mining algorithm was modified for preparation and extraction of predictive and useful information from a data repository. The Simon’s model was used in constructing the architecture of the DS. The association and predictive rules extracted in the repository were used by the DS for providing strategic decision support to the government. The design was implemented using PhP, JAVA, SQL because of their support for implementing web-based systems. The system was hosted on the website for a period of two months. Real life data about the short and long time needs and interest were captured, analysed and evaluated using a national budget case study. A random selection of 250 from the total of 1003 records of citizens that interacted with the hosted system was used for the evaluation. The result showed 97.6% citizen acceptance and 98.9% participation efficiency. This showed that using CES viability test is an effective system that can influence and enhance government decision-making process.
Keywords—E-government; Decision Support System; Citizens; Data Mining
