SLIDE FYP

1. INSURANCE
RECOMMENDER SYSTEM
NAME: MUHAMMAD LUQMAN NUR HAKIM BIN ABD RAHMAN
MATRIC NO: BTAL16043434
SUPERVISOR: DR. MUMTAZIMAH MOHAMAD

2. INTRODUCTION
• Risk and uncertainty have become common factor toward incidents and
may become burden to people
• Insurance Recommender System is a recommender system that shows
the suitable insurance policies to the user.
• Ranking the insurance policy based on criteria provided.

3. PROBLEM STATEMENT
• People confuse about the insurance policies
• Hard to manage meet-up with insurance agents for busy worker

4. OBJECTIVES
The objectives of developing this system are:
• To design a system for recommending insurance policy to the user..
• To develop an insurance recommender system using TOPSIS method.
• To test an insurance recommender system.

5. SCOPE
1.Admin :
• Able to manage agent .
• Able to view all report
2.User :
• Able to search for insurance policies based on the criteria provided.
• Able to register and login into system.
• Able to update profile
• Able to view policy list.
• Able to make appointment
• Able to give rating

6. 3.Agent:
• Able to register and login into system
• Able to update profile
• Able to manage policy
• Able to set appointment detail
• Able to view user information

8. Framework
Design

9. CONTEXT DIAGRAM

11. DFD LEVEL 0

12. DFD LEVEL 1 PROCESS 1.0

13. DFD LEVEL 1 PROCESS 3.0

14. DFD LEVEL 1 PROCESS 4.0

15. DFD LEVEL 1 PROCESS 5.0

17. ENTITY RELATIONSHIP DIAGRAM

19. HOMEPAGE

20. AGENT SIGN UP FORM

21. USER SIGN UP FORM

22. LOGIN PAGE

24. ADMIN PAGE

25. MANAGE AGENT PAGE

26. POLICY REPORT

27. APPOINTMENT REPORT

28. RATING REPORT

30. AGENT PAGE

31. MANAGE AGENT PROFILE PAGE

32. MANAGE POLICY PAGE

33. MANAGE APPOINTMENT PAGE

35. MANAGE USER PROFILE PAGE

36. POLICY LIST PAGE

37. SUGGESTION PAGE

38. APPOINTMENT PAGE

40. Weightage 0.25 0.25 0.25
Criteria Price Annual Claim Lifetime Claim
Plan A 0.38 0.33 0.27
Plan B 0.51 0.52 0.53
Plan C 0.77 0.8 0.8
TOPSIS TECHNIQUE
Price Annual Claim Lifetime Claim
Plan A 150₂ 75₂ 300₂
Plan B 200₂ 120 ₂ 600₂
Plan C 300₂ 180₂ 900₂
Root Summation 390.51 228.97 1122.5
Step 1: Calculate Normalize Decisi
on Matrix

41. Step 2: Calculate Weighted Normali
sed Matrix
Weightage 0.25 0.25 0.25
Criteria Price Annual Claim Lifetime Claim
Plan A 0.38*0.25 0.33*0.25 0.27*0.25
Plan B 0.51*0.25 0.52*0.25 0.53*0.25
Plan C 0.77*0.25 0.8*0.25 0.8*0.25
Criteria Price Annual Claim Lifetime Claim
Plan A 0.095 0.0825 0.0675
Plan B 0.1275 0.13 0.1325
Plan C 0.1925 0.2 0.2
Best (V+) 0.095 0.2 0.2
Worst (V-) 0.1925 0.0825 0.0675
Step 3: Choose the Best and Worst Ideal

42. Step 4: Choose the Euclidian Distance For T
he Best and Worst Ideal
Criteria Price Annual Claim Lifetime Claim S+ S-
Plan A 0.095 0.0825 0.0675 0.1772 0.0975
Plan B 0.1275 0.13 0.1325 0.1025 0.1035
Plan C 0.1925 0.2 0.2 0.0975 0.1771
Best (V+) 0.095 0.2 0.2
Worst (V-) 0.1925 0.0825 0.0675
Criteria Price Annual
Claim
Lifetime
Claim
S+ S- S+ + S- P Rank
Plan A 0.095 0.0825 0.0675 0.1772 0.0975 0.2747 0.3549 3
Plan B 0.1275 0.13 0.1325 0.1025 0.1035 0.206 0.5024 2
Plan C 0.1925 0.2 0.2 0.0975 0.1771 0.2746 0.6449 1
Step 5: Calculate the performan
ce score

43. Thank You 