evaluation system for industrial training

2. BACKGROUND
OBJECTIVES
SCOPE
PROCESS MODEL
DATA MODEL
METHODOLOGY

3. Industrial Training (LI) is one of the compulsory requirement for all
Bachelor's students to qualify for the award of Bachelor’s Degree, University
of Sultan Zainal Abidin (UnisZA). The evaluation of internship students are
based on their weekly report, final report and specific task. The existing
method used nowday by supervisor to give an evaluation marks for their
students are still using manual method which is using an evaluation form.
In order to sustain and improvise the existing method of the student's
evaluation, a new strategy is required. So, an Evaluation System for
Industrial Training Student (MyESiT) which is a web based system are
developed in order to enables and facilitates on the student's assessment.
Indirectly, MyESiT system allows the student's assessment entered directly
into the system without involving the use of the evaluation form.
MAIN
BACKGROUND
OBJECTIVES
SCOPE
PROCESS MODEL
DATA MODEL
METHODOLOGY

4. To study the implementation methods of evaluation
Industrial Training students.
To develop the Evaluation System of Industrial Training
Student (MyESiT).
To test the Evaluation System of Industrial Training Student
(MyESiT) that will develop.
MAIN
BACKGROUND
SCOPE
OBJECTIVES
PROCESS MODEL
DATA MODEL
METHODOLOGY

5. MAIN
SCOPE
PROCESS MODEL
LECTURER
COORDINATOR
INDUSTRY
STUDENT
BACKGROUND
OBJECTIVES
DATA MODEL
METHODOLOGY

6. Industrial Training Student
 Update personal information.
 Download the file / document uploaded by the coordinator.
 Upload weekly and final reports.
 View the status of the uploaded report.
 View comments provided by the supervisor regarding the
uploaded report.
MAIN
STUDENT
SCOPE
DATA MODEL
LECTURER
COORDINATOR
INDUSTRY
BACKGROUND
OBJECTIVES
PROCESS MODEL
METHODOLOGY

7. Supervisor Lecturer
 Evaluate the weekly, final report and special assignment of
supervised students.
 Displays the list of supervised students.
 Download student’s reports.
 Comment and confirm the status of the reports/ assignment
uploaded by the student.
MAIN
SCOPE
DATA MODEL
STUDENT
COORDINATOR
INDUSTRY
BACKGROUND
OBJECTIVES
PROCESS MODEL
METHODOLOGY
LECTURER

8. Coordinator of Industrial Training
 Upload files/ documents.
 Update and add the information of eligible Industrial Training
students into database.
 Assign a supervisor lecturer for each student who will undergo
industrial training.
 Search, display, update and delete the student’s information.
 Register students, supervisors and industry supervisors into
system.
 Search, delete, update and view supervisors information.
 Import student information from Excel.xls files into database
system.
MAIN
STUDENT
SCOPE
DATA MODEL
STUDENT
COORDINATOR
INDUSTRY
BACKGROUND
OBJECTIVES
PROCESS MODEL
METHODOLOGY
LECTURER

9. Industrial supervisor
 Give an evaluation on student’s weekly report.
 Display the list of students under supervision.
 Download student’s weekly report.
 Comment and confirm the status of weekly reports uploaded by
students.
MAIN
SCOPE
DATA MODEL
STUDENT
INDUSTRY
INDUSTRY
BACKGROUND
OBJECTIVES
PROCESS MODEL
METHODOLOGY
LECTURER

10. MAIN
SCOPE
BACKGROUND
OBJECTIVES
DATA MODEL
METHODOLOGY
SCOPE
ACTIVITY DIAGRAM
SEQUENCE DIAGRAM
USE CASE
PROCESS MODEL

11. MAIN
USE CASE
PROCESS MODEL
DATA MODEL
ACTIVITY DIAGRAM
SEQUENCE DIAGRAM
BACKGROUND
OBJECTIVES
SCOPE
METHODOLOGY

12. MAIN
ACTVITY DIAGRAM
PROCESS MODEL
DATA MODEL
USE CASE
SEQUENCE DIAGRAM
BACKGROUND
OBJECTIVES
SCOPE
METHODOLOGY

13. MAIN
Activity coordinator manage
student information

14. MAIN
Activity for Upload/Download
File

15. MAIN
Activity Lecturer and industrial
supervisor give student
evaluation mark

16. MAIN
Student check status and
report comments

17. MAIN
SEQUENCE DIAGRAM
PROCESS MODEL
DATA MODEL
USE CASE
ACTIVITY DIAGRAM
BACKGROUND
OBJECTIVES
SCOPE
METHODOLOGY

18. MAIN
Student Upload Report

19. MAIN
Supervisor make evaluation

20. MAIN
Supervisor verify
report and student
check report status

21. MAIN
DATA MODEL
OBJECTIVES
SCOPE
PROCESS MODEL
BACKGROUND
METHODOLOGY

22. MAIN
Entity Relationship
Design (ERD)

23. MAIN
METHODOLOGY
OBJECTIVES
SCOPE
PROCESS MODEL
BACKGROUND
DATA MODEL
Iterative and Incremental Model

24. MAIN
Initial Planning
 Brainstorming session
 Decide project title and method
 All activities involves to develop a complete system are plan
according to a given period in this phase
Planning Phase
 Define the problem statements, and objectives and scope
 Reviewing existing system to gather as much as their
constrain and the limitation

25. MAIN
Requirement Phase
 Process of reviewing existing system.
 Information from thesis, articles or research paper are gathered
and studied
Analysis and Design
 All data and requirement obtained in previous phase are transformed
into the design
 Prototypes
 Use Case Diagram, Activity Diagram, Sequence Diagram. Entity
Relationship Diagram (ERD), and Data Dictionary

26. MAIN
Implementation and Testing
 Implement the design of the interface
 Improvement of overall the system module
 Fixing bugs and error
 Entire modules of the system will be combined together and tested
again before it is implemented
Evaluation
 The evaluation of the system need to be done before deploying it to the
end user
 System must fulfil the entire system requirement and
objective

27. MAIN
Deployment
 System is deployed in the environment so that the targeted user
can use the system
 System in steady state which meets all the objectives of the
project

28. WEIGHTED SUM MODEL (WSM)
• Simplest multi criteria decision making
• Systematic process for prioritizing requirement based on several
criteria
• Looking for balance in determining the priority of requirement that
have counters
Step 1 : State each criteria with a weight of importance
Step 2 : Overall score calculated by multiply the criteria score
with weightage
Step 3 : Sum up the value of all score and find a total weight
to rankMAIN
METHODOLOGY
OBJECTIVES
SCOPE
PROCESS MODEL
BACKGROUND
DATA MODEL

29. MAIN
METHODOLOGY
OBJECTIVES
SCOPE
PROCESS MODEL
BACKGROUND
DATA MODEL
Example Evaluation in MYESiT
Requirement Score
Criteria Weight A B C
Supervision
Evaluation
30% 70 35 90
Specific Task 20% 10 85 10
Final Report 20% 10 87 20
Industrial
Supervision
30% 70 80 10
Weighted Score 100% 46 68.65 36
Highest
Priority

30. MAIN
SOLUTION COMPLEXITY

31. MAIN
TABLE : STUDENT

32. MAIN
TABLE : SUPERVISOR

33. MAIN
TABLE : INDUSTRIAL SUPERVISOR

34. MAIN
TABLE : COORDINATOR

35. MAIN
TABLE : FILE UPLOAD

36. MAIN
TABLE : REPORT

37. MAIN
TABLE : MARKS

38. MAIN
PROTOTYPE MYESiT
http://localhost/myesit/

39. END
THANK YOU
MAIN

40. Q & A
SESSION
MAIN