DESIGN AND IMPLEMENTATION OF A DEMOGRAPHIC INFORMATION SYSTEM FOR TRACKING AND PREDICTING UNEMPLOYMENT AND EMPLOYMENT RATE IN NIGERIA USING DATA MINING TECHNIQUES
ABSTRACT
Demographic Information System is the sets of methods that allow us to measure the dimensions and dynamics of populations. Computerized based spec analysis system estimates are often considered a reliable standard for judging the accuracy of the census information gathered at any time. The aim of the study is to design and implement a Demographic Information System for Tracking and Predicting Unemployment and Employment Rate in National Population Commission using Data Mining Techniques. In achieving this aim, the following specific objectives were laid out as follows to develop an application software that will provide essential information for government decision making and eliminate gaze work in population census. The motivation that led to the implementation of the proposed system is as a result of the difficulties encountered in keeping demographic data and information, Miscalculation of demographic data/information and time wasted in searching for a given demographic data/information on packed files. The methodology adopted in this study is the object oriented analysis and design methodology (OOADM) which is a technical approach for analyzing and designing an application or system by applying object throughout the software development process. The programming language used is HTML, CSS, JAVASCRIPT, PHP, SQL and JQUERY. The reason why web programming languages was used is because, it is platform independent and it is a web based application. This project will be of benefit to the National Population Commission. Huge files kept in the offices will no longer be there again because information will be stored on the computer with the help of the database program. The expected result is a Demographic Information System that will ease the work associated with manual method analyzing demographic data and eliminate the error involved with the manual method analyzing demographic information.
CHAPTER ONE
1.1 Introduction
Demographic Information System includes the sets of methods that allow us to measure the dimensions and dynamics of populations. These methods have primarily been developed to study human populations, but are extended to a variety of areas where researchers want to know how populations of social actors can change across time through processes of birth, death, and migration. In the context of human biological populations demographic analysis uses administrative records to develop an independent estimate of the population. Computerized based spec analysis system estimates are often considered a reliable standard for judging the accuracy of the census information gathered at any time.
As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the Aim and Objectives of the study. Others are Significance of the study, Scope of work, Limitations of the Study and Definition of technical terms.
1.2 Background of Study
According to Preston (2000), Demography Measuring and Modeling Population Processes, demography is the statistical and mathematical study of the size, composition, and spatial distribution of human populations, and how these features change over time. Data is obtained from a census of the population and from registries-records of events like birth, deaths, migrations, marriages, divorces, diseases, and employment. To do this, there needs to be an understanding of how they are calculated and the questions they answer which is included in these four concepts: population change, standardization of population numbers, the demographic bookkeeping equation, and population composition.
Population change is analyzed by measuring the change between one population sizes to another. Global population continues to rise, which makes population change an essential component to demographics. This is calculated by taking one population size minus the population size in an earlier census. The best way of measuring population change is using the intercensal percentage change. The intercensal percentage change is the absolute change in population between the censuses divided by the population size in the earlier census. Next, multiply this by 100 to receive a percentage. When this statistic is achieved, the population growth between two or more nations that differ in size can be accurately measured and examined.
For there to be a significant comparison, numbers must be altered for the size of the population that is under study. For example, the fertility rate is calculated as the ratio of the number of births to women of childbearing and to the total number of women in this age range (multiplied by 1000). If these adjustments were not made, we would not know whether a nation with a higher rate of births or deaths has a population with more women of childbearing age or more births per eligible woman.
Within the category of standardization, there are two major approaches: direct standardization and indirect standardization. Direct standardization is able to be used when the population being studied is large enough for age-specific rate are stable. Indirect standardization is used when a population is small enough that the numbers of events (births, deaths, etc.) are also small. In this case, methods must be used to produce a standardized mortality rate (SMR) or standardized incidence rate (SIR).
Population composition is the description of population defined by characteristics such as age, race, sex or marital status by Marc, Paul J. (2001): Population Change and Distribution: Census 2000 Brief.
These descriptions can be necessary for understanding the social dynamics from historical and comparative research. This data is often compared using a population pyramid. Population composition is also a very important part of historical research. Information ranging back hundreds of years is not always worthwhile, because the numbers of people for which data are available may not provide the information that is important (such as population size). Lack of information on the original data-collection procedures may prevent accurate evaluation of data quality. With the growth in information technology, the study offers numerous values to the National Population Commission (NPC) Huge files kept in the offices will no longer be there again because information will be stored In the computer system with the help of the database program.
1.3 Statement of Problem
Investigation reveals the problems of the Demographic Information System existing system, which are as follows:
- The difficulties encountered in keeping demographic data and information.
- Miscalculation of demographic data/information,
- Difficulties in accessing demographic data/information
- Time wasted in searching for a given demographic data/information on packed files.
- Time wasted in processing demographic data/information
The need arise for the development of computerized based analysis system for National Population Commission.
1.4 Aims and Objectives of the Study
The aim of the study is to design and implement a Demographic Information System for Tracking and Predicting Unemployment and Employment Rate in National Population Commission using Data Mining Techniques. In achieving this aim, the following specific objectives were laid out as follows to develop an application software that will:
- Provide essential information for government decision making
- Track and predict the rate of unemployment and employment rate in National Population Commission
- Eliminate gaze work in population census.
- Demonstrate increased motivation to the census workers.
- Ease the work associated with manual method analyzing demographic data/information.
- Eliminate the error involved with the manual method analyzing demographic data/information.
- Save the time wasted when method analyzing demographic data/information.
- Make population council office neat and tidy as a lot of information will no longer be documented on paper but in computer.
- Ensure easy retrieving and updating of demographic data/information.
1.5 Significance of the Study
The study offers numerous values to the National Population Commission. Huge files kept in the offices will no longer be there again because information will be stored on the computer with the help of the database program.
This study will be of immense benefit to other researchers who intend to know more on this study and can also be used by non-researchers to build more on their research work. This study contributes to knowledge and could serve as a guide for other study.
1.6 Scope of Study
The scope of the research is focused on the Design and implementation of a Demographic Information System for Tracking and Predicting Unemployment and Employment Rate in National Population Commission using Data Mining Techniques.
1.7 Limitations of the Study
During the course of this study, many things militated against its completion, some of which are:
- Time Constraint: The time frame given to accomplish this project was very short due to school academic calendar and it was carried out under pressure which made the researcher not to implement some necessary features.
- Research material: availability of research material is a major setback to the scope of the study.
- Frequent power failure: This made the researcher append more money on fuel to ensure sustainable power.
- Financial Constraint: Insufficient fund tends to impede the efficiency of the researcher in sourcing for the relevant materials, literature or information and in the process of data collection (internet).
1.8 Definition of Term
Demography: the statistical and mathematical study of the size, composition, and spatial distribution of human populations and how these features change over time.
Population Density: is a measurement of population per unit area or unit volume
Male: refers to the sex of an organism, or part of an organism, which produces small mobile gametes, called spermatozoa. Each spermatozoon can fuse with a larger female gamete or ovum, in the process of fertilization. A male cannot reproduce.
Female: is the sex of an organism, or a part of an organism, which produces ova (egg cells). The ova are defined as the larger gamete in a heterogamous reproduction system, while the smaller, usually motile gamete, the spermatozoon, is produced
Abundance: is an ecological concept referring to the relative representation of a species in a particular ecosystem.
CHAPTER TWO
2.0 Literature Review
2.1 Introduction
The review of relevant literature is the main topic of this chapter. A literature review covers theoretical and methodological contributions to a certain issue in addition to the state of knowledge at the time of writing. It provides information about the state of the art in relation to the subject you are writing about. It examines the body of work on the chosen subject. The literature evaluation in this study comprises the …
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TABLE OF CONTENTSPRELIMINARY PAGES
- Title page
- Approval page
- Dedication
- Acknowledgement
- Table of Contents
- Abstract
INTRODUCTION
- 1.1 Introduction
- 1.2 Background …
- ⋮
LITERATURE REVIEW
- 2.1 Introduction
- ⋮
CHAPTER THREE
SYSTEM ANALYSIS AND DESIGN
- 3.1 Methodology Adopted
- 3.1.1 Problem Identification Using SSADM
- 3.2 Analysis of the Existing System
- 3.2.1 Dataflow of the Existing System
- 3.2.2 Disadvantages Of The Existing System
- 3.2.3 Weakness of the existing System
- 3.3 Feasibility Study
- 3.3.1 Economic Feasibility
- 3.3.2 Technical Feasibility
- 3.3.3 Operational Feasibility
- 3.4 Analysis of the Proposed System
- 3.4.1 Data Flow Diagram of the Proposed System
- 3.4.2 Advantages of the Proposed System
- 3.4.3 Justification of the Proposed System
- 3.5 Functional Requirements
- 3.5.1 Use Case Diagram Of The Admin / User Privileges
- 3.6 Data Requirements
- 3.7 High Level Model of the Proposed System
CHAPTER FOUR
SYSTEM DESIGN AND IMPLEMENTATION
- 4.1 Objectives of the Design
- 4.2 Cohesion and Decomposition High level Model
- 4.3 Control Center / Overall Dataflow Diagram
- 4.3.1 Proposed System Operation Flowchart
- 4.4 System Specification and Design
- 4.4.1 Input and Output Specification
- 4.4.2 Database Specification and Design
- 4.4.3 Data Dictionary
- 4.5 Choice and Justification of Programming Language
- 4.6 Program Documentation
- 4.7 Implementation Techniques
- 4.7.1 System Testing
- 4.8 Programming Module Specification
- 4.8.1 Installation
- 4.9 Computer Hardware Minimum Requirement
- 4.10 Software Requirement
- 4.11 Personnel / User Training
- 4.12 File Maintenance Module
CHAPTER FIVE
SUMMARY, CONCLUSION AND RECOMMENDATION
- 5.1 Introduction
- 5.2 Summary
- 5.3 Conclusion
- 5.4 Recommendation
REFERENCES
APPENDIX A - “SOURCE CODE”
APPENDIX B - “OBJECT PROGRAM”
Disclaimer for Complete Material Utilization
The displayed research work titled "Design and Implementation of a Demographic Information System for Tracking and Predicting Unemployment and Employment Rate in Nigeria Using Data Mining Techniques" is stated as a research guideline towards accomplishing your assigned project / seminar research work. All the research materials on this website are ONLY for research purposes and should be used as a guideline in developing your research work. For no reason should you copy word for word as projectlist.com.ng will not be liable for any who copied the material. By ordering the complete research guideline, it signifies that you've accepted our terms of service.
PRELIMINARY PAGES
- Title page
- Approval page
- Dedication
- Acknowledgement
- Table of Contents
- Abstract
INTRODUCTION
- 1.1 Introduction
- 1.2 Background …
- ⋮
LITERATURE REVIEW
- 2.1 Introduction
- ⋮
CHAPTER THREE
SYSTEM ANALYSIS AND DESIGN
- 3.1 Methodology Adopted
- 3.1.1 Problem Identification Using SSADM
- 3.2 Analysis of the Existing System
- 3.2.1 Dataflow of the Existing System
- 3.2.2 Disadvantages Of The Existing System
- 3.2.3 Weakness of the existing System
- 3.3 Feasibility Study
- 3.3.1 Economic Feasibility
- 3.3.2 Technical Feasibility
- 3.3.3 Operational Feasibility
- 3.4 Analysis of the Proposed System
- 3.4.1 Data Flow Diagram of the Proposed System
- 3.4.2 Advantages of the Proposed System
- 3.4.3 Justification of the Proposed System
- 3.5 Functional Requirements
- 3.5.1 Use Case Diagram Of The Admin / User Privileges
- 3.6 Data Requirements
- 3.7 High Level Model of the Proposed System
CHAPTER FOUR
SYSTEM DESIGN AND IMPLEMENTATION
- 4.1 Objectives of the Design
- 4.2 Cohesion and Decomposition High level Model
- 4.3 Control Center / Overall Dataflow Diagram
- 4.3.1 Proposed System Operation Flowchart
- 4.4 System Specification and Design
- 4.4.1 Input and Output Specification
- 4.4.2 Database Specification and Design
- 4.4.3 Data Dictionary
- 4.5 Choice and Justification of Programming Language
- 4.6 Program Documentation
- 4.7 Implementation Techniques
- 4.7.1 System Testing
- 4.8 Programming Module Specification
- 4.8.1 Installation
- 4.9 Computer Hardware Minimum Requirement
- 4.10 Software Requirement
- 4.11 Personnel / User Training
- 4.12 File Maintenance Module
CHAPTER FIVE
SUMMARY, CONCLUSION AND RECOMMENDATION
- 5.1 Introduction
- 5.2 Summary
- 5.3 Conclusion
- 5.4 Recommendation
REFERENCES
APPENDIX A - “SOURCE CODE”
APPENDIX B - “OBJECT PROGRAM”
Disclaimer for Complete Material Utilization
The displayed research work titled "Design and Implementation of a Demographic Information System for Tracking and Predicting Unemployment and Employment Rate in Nigeria Using Data Mining Techniques" is stated as a research guideline towards accomplishing your assigned project / seminar research work. All the research materials on this website are ONLY for research purposes and should be used as a guideline in developing your research work. For no reason should you copy word for word as projectlist.com.ng will not be liable for any who copied the material. By ordering the complete research guideline, it signifies that you've accepted our terms of service.
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