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DESIGN AND IMPLEMENTATION OF COMPUTERIZED POPULATION ANALYSIS SYSTEM (CASE STUDY OF NATIONAL POPULATION COMMISSION ENUGU)

Dept: COMPUTER SCIENCE File: Word(doc) Chapters: 1-5 Views: 3

Abstract

Computerized based spec analysis system includes the sets of methods that allow us to measure the dimensions and dynamics of populations. Population Analysis are faced with the problem of miscalculation of demographic data/information, time wasted in processing demographic data/information, not be able to keep record of files. The research develops a computerized system that addressed the challenge, observed in the population sector. Data were collected from interviews, and secondary source such as evaluation of forms, interview of departmental representatives and study of procedural manual. Structured System Analysis and Design Methodology were used for the system. Php was used at the front end, supported by HTML, while the back end used MySql. The result obtain was successful after the implementation

1.1 Background of the Study

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 answers which is included in these four concepts: population change, standardization of population numbers, the demographic bookkeeping equation, and population composition (Siegal, 2019).

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 inter-censal percentage change. The inter-censal 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 (Siegal, 2019).

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 are to the total number of women in this age range (multiplied by 1000). If these adjustments were not made, we would not know if 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 (Siegal, 2019). 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 number 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. 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 (Marc, & Paul, 2020). The model adopted is Enugu State Population Analysis System. What the model can do are as follows:

1. It ensures easy retrieving and updating of demography data/information.
2. It permits essential information for government decision making.

• It demonstrates increase motivation to the census workers.

What the model can’t do are as follows:

1. The model may miscalculate in demographic data/information
2. The model may experience time wasted in processing demographic data/information.

• The model may encounter difficulties in keeping demographic data/information, eg loss of data files.

 

 

• Statement of the Problems

1. Miscalculation of demographic data/information.
2. Time wasted in processing demographic data/information.

• The difficulties encountered in keeping demographic data/information.

1.3 Aim and Objectives

The aim of this study is to design and implement a computerized population analysis system. The objectives include to create a platform that will:

1. calculate the demographic data/information.
2. Process demographic data/information faster.

• No form of difficulties will encounter in keeping demographic data/information ie, retrieving of data files.

1.4 Significance of the Study

With the growth in information technology, the study offers numerous values to the National Population Commission Enugu. It can be able to process the demographic data/information, and also no form of difficulties will encounter while keeping the data/information.

 

1.5 Scope of the Study

This project work is narrowed for National Population Commission Enugu. It also deals with the development of database program to help in the storage of demographic data/information in the National Population Commission Enugu.

1.6 Limitations of Study

The limitation of the study are time, financial, and non-chalant attitude of the staffs were the major constraints in the course of carryout research work.

 

 

1.7 Definition of Terms

 

1. Abundance: is an ecological concept referring to the relative representation of a species in a particular ecosystem.
2. Analyst: This is a person or professional who studies the problem encountered by a system and creates means of solving them by introducing a better system.

• Code: It is a written guideline that helps to determine whether a specific action is ethical or unethical.

1. Computer: Computer is an electronic device operating the control of instructions stored in its memory that can accept data (input) manipulate the data according to a specified rules (processing) produces result output and stores the result for future use.
2. Data processing: is defined as the entire process of converting or manipulating data into definite meaningful information (Okoye & Adigwe, 2020).
3. Data: It is the facts collected for decision making they are facts that are kept to be processed to get more information.

• Database Management System (DBMS): it is software which controls the flow of data and checks and checks on how data are stored.
• Database: is an organized /unique collection of related files. It is a collection of schemas, tables, queries, reports, views and other object.

1. Design: is the art or process of designing how something will look, work.
2. Device: It is an equipment or machine use in carrying out certain operations.
3. Documentation: material that provides official information or evidence that serves as record; written specifications and information that describes the product.

• 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.
• Information: is a processed data that can be read and understand.
• Input: A set of data sent to the computer processing.

1. 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.

• Management Information System (MIS): Information system that generates accurate timely and organized information so that manager and other user can make decision, solve problem supervise activities and track progress.
• Population: density is a measurement of population per unit area or unit volume.
• Security: This helps to prevent unauthorized users from illegally accessing certain data  the database, it protects your data/ files.
• Software: These are set of logically related instructions given to the computer to perform some specific task.

1. System: Is the collection of hardware and software, data information procedure and people.