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ABSTRACT The researcher chose to research on this topic “Computer Based Census Management System” because of its relevance to the society. Meanwhile, the manual method so far has its attendant problem of being tedious. The researcher, in order to solve this time consuming, monotonous, and repetitive manual census activities went into a thorough study of the existing system. In the report proper, the Structured System Analysis and Design Methodology (SSADM) was adopted and explained. The high level model of the proposed system was also designed and displayed in a format easily understandable to the user. The high level model of the proposed system was designed architecturally and detailed designed through its separate components. There were four modules in all, each taking care of specific function like: the staff management module that maintains records about the staff; the department management module manages information about departments in the commission; the register person, the register states, and the register LGA modules that do the actual registration of individuals. Finally, the parallel change over methodology was adopted to enable the commission compare the results of the two systems (old and new) before implementation.

TABLE OF CONTENTS

Abstract

CHAPTER ONE

1.0    Introduction

1.1   Background of Study

1.2   Statement of Problems

1.3   Research Objectives

1.4   Research Question

1.5   Research Hypothesis   

1.6   Scope of Study

1.7   Significance of study

1.8   Limitation of study

1.9   Definition of terms

CHAPTER TWO

2.0   Literature Review

CHAPTER THREE

3.0   Research methodology

3.1   Research Design

3.2   Population of study

3.3   Sampling Design and Procedure

3.4   Data Collection Instrument

3.5   Administration of Data Collection Instrument

3.6   Methods of data analysis

CHAPTER FOUR

4.0   Data Presentation and Analysis

4.1   Data Presentation  

4.2   Test of Hypothesis 

CHAPTER FIVE

5.0   Summary, Conclusion and Recommendation

5.1   Summary

5.2   Conclusion

5.3    Recommendation

References

Questionnaire


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