This System is develop to choose the Best Final Year Proposal/Project among students by using AHP algorithm

1. BEST PROPOSAL
SELECTION SYSTEM
SUPERVISOR : DR SUHAILAN BIN DATO’ SAFEI
NAME : AIMAN NATASHA NAQUIYAH BT ISMAIL
NO MATRIC : BTCL15039699

2. INTRODUCTION
• Best Proposal Selection System is a web base application system that
act as a middleman between students and fresh graduated with
company(investors).
• Inventor will propose idea/project/proposal in the system.
• Interested investors will invest/fund the project.
• This platform also known as a crowd funding system which is a new way
of raising funds whether for business or philanthropic purposes originate
from a crowd of individuals.
• This system helps inventors and investors to interact with each other
professionally.

3. PROBLEM STATEMENT
• Similar proposal are being propose by inventors and the
problem is how can the investors choose or decide on the
best project to invest in?

4. OBJECTIVE
• To analyse the problem in the Best Proposal Selection System.
• To design a proposed system of Best Proposal Selection
System.
• To develop system and implement the usage of Analytic
Hierarchy Process(AHP) algorithm in the Best Proposal
Selection System.

5. SCOPE
 Admin.
 Admin can login to the system.
 Admin can manage user profile by deleting and updating the profile.
 Maintain and view the system.
 User
Inventors
 Students and fresh graduated can register in the system.
 Inventors can update their profile.
 Inventors can propose ideas/project in the system by writing the details of
their idea/project.
 Inventors can chat online with the investors to further discuss about the
project proposed.

6. SCOPE
Investors
 Company/individual user can register to the system.
 Investors can update their profile.
 Investors that is interested to invest or fund the project proposed in the
system can have an online chat with the creators regarding the project.

7. LIMITATION
• No live interface between the inventors and the investors.
• The progress of the project will not be monitored by this system.
• The payment process is not managed by the system.

8. EXPECTED RESULT
• This system is expected to help the investor in choosing the best
selection of proposal to invest in.
• To achieve the objectives.

9. LITERATURE REVIEW

10. CURRENT EXISTING SYSTEM
Figure 1 : www.equity.pitchin.my

11. Figure 2 : www.mystartr.com

12. • The examples of the similar existing system is :
-pitchIN website
-MyStartr website
• Project chosen by the investor in these existing system is only based
on the summary and details written by the creators. Thus investors do
not know which project is the best.
• Therefore, Analytic Hierarchy Process (AHP) algorithm is introduced
into the Best Proposal Selection System which plays an important
role in the selection of proposal or project decision-making.

13. • AHP was developed to optimize decision making when one is faced with
a mix of qualitative, quantitative, and sometimes conflicting factors that
are taken into consideration.
• AHP helps decision makers to choose the best solution from several
options and selection criteria.
• AHP builds a hierarchy (ranking) of decision items using comparisons
between each pair of items expressed as a matrix algebra to sort out
factors to arrive at a mathematically optimal solution.

14. • The hierarchy is used to derive ratio-scaled measures for decision
alternatives and determines the relative value alternatives have against
organizational goals and project risks.
• This algorithm ranks data based on ordinal features. For example, a dataset
containing marks of two subjects (i.e. features). It functions like normal
summing method, but instead of calculating summation of each objects, AHP
compares each objects in pairwise in determining the dominancy of the
objects in each features.

15. Figure 3 : Example of three-level of hierarchy model in AHP

16. CRITERIAOF CHOOSING PROPOSAL
• Investment (Ringgit Malaysia)
• Development Duration (Months)
• IRR (Return Measure in percentage%)
• Payback (Years)

17. • Typical applications where AHP has been used are in:
The application of AHP in oil and gas pipeline route selection
AHP Application in Objective Management of Coal Enterprises.
Estimating cost and scheduling options for material requirements planning
(MRP).
Selection of source for Microgrid system
Evaluating the quality of research and investment proposals.

18. OVERVIEW OF SYSTEM

19. FRAMEWORK

20. CONTEXT DIAGRAM

21. DFD LEVEL O

22. • ADMIN

23. • INVENTOR

24. • INVESTOR

25. THANK YOU