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Centralized Information
System
Model Thesis
Ronel N. Dadula
Key Issues
2
CHAPTER 1 The Problem
CHAPTER 2 Theoretical Framework
CHAPTER 3 Methodology
CHAPTER 1
The Problem and its
Background
3
Background of the Study
4
Academic institutions like Mary the
Queen College (Pampanga) Inc. (MQCPI) is
one of the many companies that
experiences duplication of data and that
need of data sharing from one office to
another especially in the admission,
registrar and finance office.
Background of the Study
5
Certain inconveniences are being
experience in the admission office during
enrollment period such as unorganized filing
of applicant records, difficulties in monitoring
student requirements, inaccurate
computation of student’s examination results
and reports generated are unreliable due to
inaccurate results.
Background of the Study
6
In lieu, the researcher developed a
Centralized Information Systems for Mary
the Queen College (Pampanga) Inc. (CIS-
MQCPI). The centralized data processing
will bring efficiency in the enrollment
process of the Admission, Registrar and
Finance Office of MQCPI.
Objective of the Study
7
The general objective of the
study was to develop Centralized
Information System for Mary the
Queen College (Pampanga) Inc.
Objective of the Study
8
The following are the specific objectives and modules of the CIS-
MQCPI:
1. Developed an admission module that will:
a. Manage and monitor applicant’s records (Personal
information and academic requirements).
b. Manage student’s scholarship applications.
c. Generate inventory reports such as:
i. Total number of applicants.
ii. Total number of applicants per programs.
Objective of the Study
9
The following are the specific objectives and modules of the CIS-
MQCPI:
2. Designed a registration module that will:
a. Manage subjects and curriculums.
b. Manage schedules and faculty subject loading.
c. Enlist and enroll students.
d. Manage student’s academic records.
e. Generate reports such as:
i. Subject Schedules
ii. Class List
Objective of the Study
10
The following are the specific objectives and modules of the CIS-
MQCPI:
3. Developed a billing module that will:
a. Assess student’s tuition fees.
b. Manage and monitor student’s financial records and
obligations.
c. Manage student’s promissory note application.
d. Process student payments such as:
i. Tuition Fee
ii. Promissory Note
Objective of the Study
11
The following are the specific objectives and modules of the CIS-
MQCPI:
4. Developed a grading module for the faculty to records
student’s grades
5. To provide a human resource module that will manage
employee’s personal profile.
6. Designed an administrator module that will manage
user accounts, user restrictions and database back-ups.
7. The system was evaluated using FURPS.
Significance of the Study
12
Locale. The proposed study aimed to help MQCPI to
maximize its resources and provide a cost-effective
centralized information system that will speed up the
process of enrollment system of the school.
Admission Office. The study was developed to aid
the admission office in handling applicant’s
information efficiently during enrollment period.
Significance of the Study
13
Registrar Office. The study assisted the registrar’s
office by providing organize records and
conveniently process student credentials.
Finance Office. The proposed was designed to help
the finance office by providing an error-free
assessment of student’s tuition fees and school
related payments. Student’s financial obligations
such as unpaid tuition fees and promissory notes
will be monitored efficiently.
Significance of the Study
14
Students. The proposed study will minimize the
inconveniences being encountered by the students
during enrollment period.
Future Researchers. The proposed study served the
future researchers as a reference in conducting
related study.
Scope and Delimitation of the Study
15
▰ The study focused on bringing together the different
offices of MQCPI that are affected during enrollment
process into a single system to ensure that the offices
will function as one to provide quality enrollment
procedures.
▰ The centralized information system focused and
integrated information systems for the Admission,
Registrar and Finance Office of MQCPI; the study also
focused on the activities and tasks of the
aforementioned offices during enrollment period.
Scope and Delimitation of the Study
16
▰ The proposed study will not cover the Income
Statement, Statement of Retained Earnings, Balance
Sheet, Trial Balance, Statement of Owners Equity,
Statement of Cash Flows, and Bank Reconciliation
Statement of the accounting office.
▰ The network layout and configuration of the system
integrations was not included in the study.
Scope and Delimitation of the Study
17
▰ The proposed grading module did not cover the
grading system of the school.
▰ The proposed human resource module did not cover
the attendance monitoring and payroll process of the
institution.
▰ The study is also limited to desktop application and did
not include web application modules and
functionalities.
Chapter II
Theoretical Framework
18
“The review of related studies familiarizes the readers
with the points of agreement and disagreement among
the previous studies, as well as with the relevance of
each to the present study. It served as a guide to the
researcher in the formulation of the topic and suggests
strategies for making operational the independent
and dependent variables considered in the study.
19
19
-The Researcher
Related Literatures
20
 H. L. Capron and D. Perron 2003) : Client-Server
 Britannica Website: Information system
 Ralph M. Stair and George W. Reynolds (2006): Computer Systems
 Peter Rob and Carlos Coronel (2005): Data management
 Philip J. Pratt and Joseph J. Adamski (2010) : Various Users
Synthesis
The researcher selected the statement of Ralph M. Stair and George W.
Reynolds to be the most related among the related literatures stated.
Related Studies
21
 A conference about in systems integration in 2010 by D. R. Khun
 2009 study by Zaitun Abu Bakar: Complex and integrated systems
 Kirova, D. Vasilka (2005): Software processing capabilities
 Richard Heeks (2008): Centralized Approach
 http://www.atp.nist.gov/eao/sp950-3/accenture.pdf: Universal
Healthcare System
Related Studies
22
 Center for Technology in Government (2011), Government Programs
 A study by Yang, Tung-Mou: Information sharing and integration
 A study by Yares, Ali Chava Kaufman: Student Information System
Synthesis
The researcher selected the statement of Yares, Ali Chava Kaufman to be
the most related among the eight related studies stated.
Conceptual Framework
23
Chapter III
Methodology
24
“This chapter deals with the methods of research to be
used, the population, sample size and sampling
technique. The descriptions of the respondents and the
instruments needed to gather data and statistical
treatment of data is also covered in this chapter.
25
25
-The Researcher
Project Design
26
 Data Flow Diagram
 System Flow chart
Project Development
▰ The researcher designed and
developed the proposed system
using Visual Basic, MySQL and
other useful software needed in the
development
▰ The System Development Life Cycle
(SDLC) serves as a foundation and
structure in developing the
proposed system.
27
Methodology
▰ Evaluation Procedure
▻ Stratification is the process of dividing members of the population
into homogeneous subgroups before sampling
28
Methodology
▰ Evaluation Criteria
▻ The researcher used the FURPS+ Model. The FURPS model is used
to identify most important attributes of a product and define them
in measurable terms.
▻ IT can help developers establish their priorities to achieve better
customer satisfaction. The FURPS+ stands for functionality,
usability, reliability, performance, and supportability.
29
Methodology
▰ The researcher used the
Likert scale to address the
measurement of the
perception of the
respondents about a
computer based care
management system.
30
Instrument and Technique Used
 Questionnaires
 Interview
 Observation
 Evaluation Form
 Statistical Treatment of Data
- Weighted Mean
31
32
DFD
33
Program
Flowchart

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Model Thesis.pptx

  • 2. Key Issues 2 CHAPTER 1 The Problem CHAPTER 2 Theoretical Framework CHAPTER 3 Methodology
  • 3. CHAPTER 1 The Problem and its Background 3
  • 4. Background of the Study 4 Academic institutions like Mary the Queen College (Pampanga) Inc. (MQCPI) is one of the many companies that experiences duplication of data and that need of data sharing from one office to another especially in the admission, registrar and finance office.
  • 5. Background of the Study 5 Certain inconveniences are being experience in the admission office during enrollment period such as unorganized filing of applicant records, difficulties in monitoring student requirements, inaccurate computation of student’s examination results and reports generated are unreliable due to inaccurate results.
  • 6. Background of the Study 6 In lieu, the researcher developed a Centralized Information Systems for Mary the Queen College (Pampanga) Inc. (CIS- MQCPI). The centralized data processing will bring efficiency in the enrollment process of the Admission, Registrar and Finance Office of MQCPI.
  • 7. Objective of the Study 7 The general objective of the study was to develop Centralized Information System for Mary the Queen College (Pampanga) Inc.
  • 8. Objective of the Study 8 The following are the specific objectives and modules of the CIS- MQCPI: 1. Developed an admission module that will: a. Manage and monitor applicant’s records (Personal information and academic requirements). b. Manage student’s scholarship applications. c. Generate inventory reports such as: i. Total number of applicants. ii. Total number of applicants per programs.
  • 9. Objective of the Study 9 The following are the specific objectives and modules of the CIS- MQCPI: 2. Designed a registration module that will: a. Manage subjects and curriculums. b. Manage schedules and faculty subject loading. c. Enlist and enroll students. d. Manage student’s academic records. e. Generate reports such as: i. Subject Schedules ii. Class List
  • 10. Objective of the Study 10 The following are the specific objectives and modules of the CIS- MQCPI: 3. Developed a billing module that will: a. Assess student’s tuition fees. b. Manage and monitor student’s financial records and obligations. c. Manage student’s promissory note application. d. Process student payments such as: i. Tuition Fee ii. Promissory Note
  • 11. Objective of the Study 11 The following are the specific objectives and modules of the CIS- MQCPI: 4. Developed a grading module for the faculty to records student’s grades 5. To provide a human resource module that will manage employee’s personal profile. 6. Designed an administrator module that will manage user accounts, user restrictions and database back-ups. 7. The system was evaluated using FURPS.
  • 12. Significance of the Study 12 Locale. The proposed study aimed to help MQCPI to maximize its resources and provide a cost-effective centralized information system that will speed up the process of enrollment system of the school. Admission Office. The study was developed to aid the admission office in handling applicant’s information efficiently during enrollment period.
  • 13. Significance of the Study 13 Registrar Office. The study assisted the registrar’s office by providing organize records and conveniently process student credentials. Finance Office. The proposed was designed to help the finance office by providing an error-free assessment of student’s tuition fees and school related payments. Student’s financial obligations such as unpaid tuition fees and promissory notes will be monitored efficiently.
  • 14. Significance of the Study 14 Students. The proposed study will minimize the inconveniences being encountered by the students during enrollment period. Future Researchers. The proposed study served the future researchers as a reference in conducting related study.
  • 15. Scope and Delimitation of the Study 15 ▰ The study focused on bringing together the different offices of MQCPI that are affected during enrollment process into a single system to ensure that the offices will function as one to provide quality enrollment procedures. ▰ The centralized information system focused and integrated information systems for the Admission, Registrar and Finance Office of MQCPI; the study also focused on the activities and tasks of the aforementioned offices during enrollment period.
  • 16. Scope and Delimitation of the Study 16 ▰ The proposed study will not cover the Income Statement, Statement of Retained Earnings, Balance Sheet, Trial Balance, Statement of Owners Equity, Statement of Cash Flows, and Bank Reconciliation Statement of the accounting office. ▰ The network layout and configuration of the system integrations was not included in the study.
  • 17. Scope and Delimitation of the Study 17 ▰ The proposed grading module did not cover the grading system of the school. ▰ The proposed human resource module did not cover the attendance monitoring and payroll process of the institution. ▰ The study is also limited to desktop application and did not include web application modules and functionalities.
  • 19. “The review of related studies familiarizes the readers with the points of agreement and disagreement among the previous studies, as well as with the relevance of each to the present study. It served as a guide to the researcher in the formulation of the topic and suggests strategies for making operational the independent and dependent variables considered in the study. 19 19 -The Researcher
  • 20. Related Literatures 20  H. L. Capron and D. Perron 2003) : Client-Server  Britannica Website: Information system  Ralph M. Stair and George W. Reynolds (2006): Computer Systems  Peter Rob and Carlos Coronel (2005): Data management  Philip J. Pratt and Joseph J. Adamski (2010) : Various Users Synthesis The researcher selected the statement of Ralph M. Stair and George W. Reynolds to be the most related among the related literatures stated.
  • 21. Related Studies 21  A conference about in systems integration in 2010 by D. R. Khun  2009 study by Zaitun Abu Bakar: Complex and integrated systems  Kirova, D. Vasilka (2005): Software processing capabilities  Richard Heeks (2008): Centralized Approach  http://www.atp.nist.gov/eao/sp950-3/accenture.pdf: Universal Healthcare System
  • 22. Related Studies 22  Center for Technology in Government (2011), Government Programs  A study by Yang, Tung-Mou: Information sharing and integration  A study by Yares, Ali Chava Kaufman: Student Information System Synthesis The researcher selected the statement of Yares, Ali Chava Kaufman to be the most related among the eight related studies stated.
  • 25. “This chapter deals with the methods of research to be used, the population, sample size and sampling technique. The descriptions of the respondents and the instruments needed to gather data and statistical treatment of data is also covered in this chapter. 25 25 -The Researcher
  • 26. Project Design 26  Data Flow Diagram  System Flow chart
  • 27. Project Development ▰ The researcher designed and developed the proposed system using Visual Basic, MySQL and other useful software needed in the development ▰ The System Development Life Cycle (SDLC) serves as a foundation and structure in developing the proposed system. 27
  • 28. Methodology ▰ Evaluation Procedure ▻ Stratification is the process of dividing members of the population into homogeneous subgroups before sampling 28
  • 29. Methodology ▰ Evaluation Criteria ▻ The researcher used the FURPS+ Model. The FURPS model is used to identify most important attributes of a product and define them in measurable terms. ▻ IT can help developers establish their priorities to achieve better customer satisfaction. The FURPS+ stands for functionality, usability, reliability, performance, and supportability. 29
  • 30. Methodology ▰ The researcher used the Likert scale to address the measurement of the perception of the respondents about a computer based care management system. 30
  • 31. Instrument and Technique Used  Questionnaires  Interview  Observation  Evaluation Form  Statistical Treatment of Data - Weighted Mean 31