Many studies have been done in finding
what factors influence students in selecting their
field of study in universities. Table I shows the
summary of important factors that affects students’
decision in choosing degree programmes:
TABLE I: SUMMARY OF IMPORTANT FACTORS
INFLUENCING STUDENTS’ DEGREE SELECTION
Reference
Important factors
[2]
Field of study
Career goals
Campus environment
Campus location
Institution’s reputation
[3]
Self interest to the field
Salary prospect
Job prospect
Starting salary
Prestige of the profession.
[4]
Quality of teaching
Institution’s reputation
Marketability of degree
Job opportunities
Tuition fees
Program structure
Time required for completion
Facilities
Availability of courses
Entry requirements.
[7]
Quality of learning environment
Influencers
Customer focus
Cost
Facilities
Socialization
[13]
Cost of education
Degree (content and structure)
physical aspects of institution
Facilities and resources
Value of education
Institutional information
Influence from family, friends and
peers.
It can be seen that cost of education,
market demand, and interest are the highest chosen
factors among the other factors.
III.
THE METHODOLOGY
The proposed system will use Analytical
Hierarchy Process (AHP) method as the technique
for processing the decision based on criteria and
some questionnaire to determine their field of
interest. The questionnaire will be based from the
Holland’s Six Personality Type theory. AHP is a
multi-criteria decision making developed by
Professor Thomas L. Saaty. It is a method of
deriving ratio scales from paired comparisons.
AHP will be used to collect students’ preferences
and evaluate students’ pr
iority weight. This
technique is more flexible and most advantage in
multi-criteria decision making model.
[10] used AHP for Lean product development
to measure all attributes. AHP was also been used
in linear programming in order to identify customer
choice more accurately. Furthermore, in a different
environment, [7] used AHP for ranking alternatives
that curb students’ absenteeism in engineering
colleges in the state of Andhra Pradesh, India. [11]
also used AHP is decision making in engineering
applications such as integrated manufacturing,
evaluation of technology investment decisions,
flexible manufacturing systems and layout design.
These studies involved multiple criteria decision
making. They had shown that AHP was a very
practical technique to use when more than 2 criteria
involve in the study.
Many studies have been done in finding
what factors influence students in selecting their
field of study in universities. Table I shows the
summary of important factors that affects students’
decision in choosing degree programmes:
TABLE I: SUMMARY OF IMPORTANT FACTORS
INFLUENCING STUDENTS’ DEGREE SELECTION
Reference
Important factors
[2]
Field of study
Career goals
Campus environment
Campus location
Institution’s reputation
[3]
Self interest to the field
Salary prospect
Job prospect
Starting salary
Prestige of the profession.
[4]
Quality of teaching
Institution’s reputation
Marketability of degree
Job opportunities
Tuition fees
Program structure
Time required for completion
Facilities
Availability of courses
Entry requirements.
[7]
Quality of learning environment
Influencers
Customer focus
Cost
Facilities
Socialization
[13]
Cost of education
Degree (content and structure)
physical aspects of institution
Facilities and resources
Value of education
Institutional information
Influence from family, friends and
peers.
It can be seen that cost of education,
market demand, and interest are the highest chosen
factors among the other factors.
III.
THE METHODOLOGY
The proposed system will use Analytical
Hierarchy Process (AHP) method as the technique
for processing the decision based on criteria and
some questionnaire to determine their field of
interest. The questionnaire will be based from the
Holland’s Six Personality Type theory. AHP is a
multi-criteria decision making developed by
Professor Thomas L. Saaty. It is a method of
deriving ratio scales from paired comparisons.
AHP will be used to collect students’ preferences
and evaluate students’ pr
iority weight. This
technique is more flexible and most advantage in
multi-criteria decision making model.
[10] used AHP for Lean product development
to measure all attributes. AHP was also been used
in linear programming in order to identify customer
choice more accurately. Furthermore, in a different
environment, [7] used AHP for ranking alternatives
that curb students’ absenteeism in engineering
colleges in the state of Andhra Pradesh, India. [11]
also used AHP is decision making in engineering
applications such as integrated manufacturing,
evaluation of technology investment decisions,
flexible manufacturing systems and layout design.
These studies involved multiple criteria decision
making. They had shown that AHP was a very
practical technique to use when more than 2 criteria
involve in the study.
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