Jurnal ICT : Information and Communication Technologies
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Decision Support System for Determining the Village Secretary Using
the Analytic Hierarchy Process Method in the Village of Kubah
Sentang Pantai Labu
Petti Indrayati Sijabat
STMIK Pelita Nusantara, Jl. Iskandar Muda No. 1 Medan, Indonesia
Email : Indrayati_Petti@gmail.com
ABSTRACT
The election of the village secretary is an election chosen by the village head himself
and is not carried out in a democratic manner. So far, what the village government has
done in the election of the village secretary has not been effective. This system was built
using the Analytic Hierarchy Process (AHP) method, which is one of the methods used
in decision support systems. The AHP method is by weighting each criterion and subcriteria. The results of the study were in the form of a decision support system
application for determining village secretaries using Visual Studio 2010 so as to be able
to select several candidates for village secretaries who were worthy of the position as
village secretary
Keywords: Determination of Village Secretary, Decision Support System,
Analytic Hierarchy Process
1. Introduction
Indonesia is the largest archipelagic country in the world. With a population of about
260 million people. Indonesia has the largest number 4 (four) population in the world.
Deli Serdang is one of the regencies in Indonesia, precisely in North Sumatra Province.
Deli Serdang Regency has 22 (twenty two) sub-districts including Pantai Labu District.
The Pantai Labu sub-district has 19 (nineteen) villages namely Bagan Serdang, Binjai
Bakung, Denai Kuala, Denai Lama, Denai Serang Bird, Durian, Kelambir, Dome
Sentang, Paluh Sebaji, Labu Baru Beach, Labu Pekan Beach, Pematang Monastery,
Plantation Ramunia, Ramonia I, Ramonia II, Rantau Panjang, Regemuk, Sei Tuan,
Tengah (Kampung Tengah).
The village is a community unit that has the authority to regulate and manage the
interests of the local community. Villages also have the power to organize their own
government within the bonds of the Unitary State of the Republic of Indonesia (NKRI).
The village apparatus consists of the village head, village treasurer, village secretary and
other village officials. The village secretary (Sekdes) is the one who plays a strategic
role in the village, both in structuring village administration and managing village
finances. Therefore, the village secretary must have abilities above the average of other
village officials so that the wheels of government in the village can run well. The village
secretary is required to be able to think critically and act professionally. Professional in
this case is to work seriously as required in the profession.
In the village of Kubah Sentang, there are several candidates for the village
secretary who have not yet been determined which one is eligible to occupy the village
Decision Support System for Determining the Village Secretary Using the Analytic Hierarchy Process
Method in the Village of Kubah Sentang Pantai Labu (Petti Indrayati Sijabat)

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secretary. The election of the village secretary is an election chosen by the village head
himself and is not carried out in a democratic manner. So far, what the Kubah Sentang
Village government has done in the election of the village secretary has not been
effective. Due to the lack of attention in selecting who is worthy or not worthy to be the
village secretary. There are 4 (four) candidates who have registered to become village
secretaries and for the selection there are several criteria selected, namely Education,
Work Experience, Behavior, Age, and Population Status. These criteria will be used in
determining the village secretary,
Decision Support System (DSS) is an interactive information system that
provides computer-based information aimed at assisting management in making
decisions. Decision Support System can also be said as a computer system to manage
data into information in making a decision from a specific semi-structured problem.
Decision Support System (DSS) has several methods, one of which is the Analytic
Hierarchy Process (AHP). The AHP method tests an alternative in making a decision, so
when an inconsistency is found in giving a weight, it is necessary to do a revolution of
the weights that have been given to each factor.
2.

Methodology
According to Dr. Kusrini, M.Kom (2017: 135), the steps in the AHP method
include: (a) Defining the problem and determining the desired solution, then compiling
a hierarchy of the problems encountered. (b) Setting element priority, (c) Synthesis, (d)
Measuring consistency, (e) Calculate Consistency index (Ci) with the formula:
Ci= (λ Max-n)/(n-1)
Where n = number of elements
1. Calculate the consistency ratio / Consistency Ratio (RI) with the formula:

2. Check for consistency. If the value is more than 10%, then the data judgment
assessment must be corrected. However, if the consistency (CI/CR) is less or equal to
0.1, then the calculation must be declared correct.
Table 1.
List of Random Consistency Index
Matrix Size
IR value
1.2
0.00
3
0.58
4
0.90
5
1.12
6
1.24
7
1.32
8
1.41
9
1.45
10
1.49
11
1.51
12
1.48
13
1.56
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1.57
1.59

.
3. Results and Discussion
3.1 Define the problem and determine the desired solution
In determining the candidate for the village secretary, it can be broken down into
several elements, namely criteria and alternatives. The criteria for determining the
village secretary are:
a. Education
Education is learning, knowledge, skills through teaching, training or research. The
educational provisions in determining the village secretary are:
Education :- SMA/SMK : Enough
- D3 : Okay
- S1 : Very Good
b. Work experience
Work experience is the process of forming knowledge or skills about the method of
a job because of the employee's involvement in the implementation of work tasks.
The sub-criteria of the criteria for work experience in determining the village
secretary are as follows:
Work experience : - 1 – 5 years : Enough
- 6 – 10 years : Good
- 11 years and over : Very good
c. Behavior
Behavior is an action or activity of the human itself. The sub-criteria of the
behavioral criteria in determining the village secretary are as follows:
Behavior :- Enough
- Well
- Very good
d. Age
Age is a unit of time that measures the time of existence of an object or living thing,
both living and dead. The sub-criteria of the age criteria in determining the village
secretary are as follows:
Age :- 17 – 25 Years : Enough
- 26 – 35 Years : Good
- 36 Years – 45 Years: Very Good
e. Resident Status
Population status is a person who resides or settles in a country or village. The subcriteria of the population status criteria in determining the village secretary are as
follows:
Resident Status : - Permanent
- Not fixed
The data from each candidate for village secretary are as follows:

Decision Support System for Determining the Village Secretary Using the Analytic Hierarchy Process
Method in the Village of Kubah Sentang Pantai Labu (Petti Indrayati Sijabat)

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Candidate
Name
Muhammad
Helmi
Muhammad
Shahran
Sri Yusmawati
Maulisa Puspa

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Table 2.
Village Secretary Candidate Data
Work
Resident
Education
Behavior
Age
experience
Status
S1
1 year
Well
27 years Permanent
senior High 20 years
School
S1
15 years
senior High 1 year
School

Enough

31 years Permanent

Very
good
Well

39 years Permanent
old
23 years Permanent

3.2 Creating a hierarchical structure
After defining the problem and determining the solution, a hierarchical structure is
made for determining the village secretary according to the applicable criteria.

Figure 1. Village Secretary Determination Hierarchy
3.3 Creating a Comparison Matrix
After determining the criteria in determining the village secretary, the next step
is to create a pairwise comparison matrix that describes the relative contribution or
influence of each element on each criterion with other criteria.
Table 3.
Pairwise Comparison Rating Scale
Intensity of Interest Information
1
Both elements are equally important.
3
One element is slightly more important than the other
elements.
5
One element is more important than the other
elements.
7
One element is clearly more absolutely important than

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9
2,4,6,8
opposite

the other elements.
One element is absolutely important than the other
elements.
The values between the two values are related
considerations.
If activity i gets one point compared to activity j, then j
has the opposite value compared to i.

The matrix for determining who is worthy of the position as Village Secretary at
the Kubah Sentang Village Office can be seen in the table below:

Criteria
Education
Work
experience
Behavior
Age
Resident
Status
Amount

Table 4.
AHP Comparison Matrix
Work
Education
Behavior
experience
1
2
2

3

Resident
Status
1/3= 0.33

= 0.50
= 0.50
1/3= 0.33

1
3
1/3= 0.33

1/3= 0.33
1
1/3= 0.33

3
3
1

1/5= 0.20
1/5= 0.20
1/5= 0.20

3
5.33

5
11.33

5
8.67

5
15.00

1
1.93

Age

Information :
a. Row 2, column 2, education – education has a comparison value of 1, meaning that
the two elements are equally important.
b. Row two, column three, education – work experience has a comparison value of 2,
meaning that education is slightly more important than work experience.
c. Row 3, column 2, work experience – education, the comparison value is =0.5,
meaning that the element of work experience is slightly less important than the
element of education.
After normalizing the comparison values, the comparison values for each column
are added up. The sum of the columns for column 2 is: 1+0,50+0,50+0,33+3= 5.33. For
the 3rd column, namely: 2+1+3+0,33+5=11,33. For the 4th column, namely:
2+0,33+1+0,33+5=8,67. For column 5, namely: 3+3+3+1+5=15. For the 6th column,
namely: 0.33+0.20+0.20+0.20+1=1.93.3
3.4 Doing Pairwise Comparison
After doing the comparison matrix and calculating the number of comparison
values with the number of columns, then next.

Decision Support System for Determining the Village Secretary Using the Analytic Hierarchy Process
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Table 5.
Pair Comparison
Education

Work
experience

Behavior

Age

Resident
Status

1/5.33=
Education 0.19
Work
0.50/5.33=
experience 0.09
0.50/5.33=
Behavior
0.09
0.33/5.33=
Age
0.06
Resident
3/5,33=
Status
0.56

2/11.33=
0.18
1/11.33=
0.09
3/11.33=
0.26
0.33/11.33=
0.03
5/11.33=
0.44

2/8.67=
0.23
0.33/8.67=
0.04
1/8.67=
0.12
0.33/8.67=
0.04
5/8.67=
0.58

3/15=
0.20
3/15=
0.20
3/15=
0.20
1/15=
0.07
5/15=
0.33

0.33/1.93=
0.17
0.20/1.93=
0.10
0.20/1.93=
0.10
0.20/1.93=
0.10
1/1.93=
0.52

Criteria

Row
Count
Value

Average

0.97

0.19

0.52

0.10

0.78

0.16

0.30

0.06

2.43
Amount

0.49
1.00

3.5 Calculating the Eigenvector Values of Each Matrix
Ci= (λ Max-n)/(n-1)
n=5
max =(number of comparison matrix columns * average)+ (number of comparison
matrix columns * average)+ (number of comparison matrix columns *
average)+ (number of comparison matrix columns * average)+ (number of
matrix columns comparison * average)
=(5.33*0.19)+(11.33*1.10)+(8.67*0.16)+(15*0.06)+(1.93*0.49)
=5.41
CI = (λmax –n)/(n-1)
= (5.41-5)/(5-1)
= 0.10
CR = (CI/IR)
= 0.10/1.12
= 0.09
If the results of the calculation of CR < 0.1 = 0.09 < 0.1 then the consistency
ratio of the calculation is accepted. After calculating the priority of the criteria, the
priority of the sub-criteria is also calculated according to the steps above. The priority
steps for the sub-criteria are as follows:
3.6 Calculating the priority of sub-criteria from the Education criteria
a. Creating a comparison matrix
Table 6.
Comparison Matrix
Sub
very good
Well
enough
Criteria
very good
1
3
5
Well
0.33
1.00
3
Enough
0.2
0.33
1

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amount

1.53

4.33

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9

Information :
a) Row two, column four, good-adequate, the comparison value of 5 means that
one element is very good, one is more important than the element is sufficient.
b) Row four, column two, good enough, the comparison value of 1/5=0.2 means
that one element is sufficient, not one is more important than the very good
element.
b. Create sub-criteria value
Table 7.
Sub Criteria Value Matrix
Sub criteria
very good
Well
enough row count value average
very good
0.65
0.69
0.56
1.90
0.63
Well
0.22
0.23
0.33
0.78
0.26
Enough
0.13
0.08
0.11
0.32
0.11
Amount
1.00
c) In the good column, the good row is divided by the number of good columns,
the value is 1/1.53 = 0.65 and so on.
d) The value of 1.90 is obtained from the sum of 0.65+0.69+0,= 1.90. In the
column the average is obtained through the value of the number of rows/n =
1.90/3 = 0.83 and so on. And the summed average value must be 1 and cannot
be above one because the value is inconsistent.
c. Calculating the Eigenvector Values of Each Matrix
Table 8.
Eigenvector Value
lamda max
3.06
ci
0.03
Cr
0.05
Max value is obtained by =
(0.63*1.53)+(0.26*4.33)+(0.11*9)= 3.06
CI= (Max-n)/(n-1) = (3.06-3)/(3-1)=0.03
CR= CI/IR= 0.03/0.58=0.05

mean*number

per

column

=

3.7 Calculating the priority of the sub-criteria from the Work Experience criteria
a. Creating a comparison matrix
Table 9.
Comparison Matrix
Sub Criteria
Very good
Well
Enough
Very good
1
3
5
Well
1/3= 0.33
1
3
Enough
1/5= 0.20
1/3= 0.33
1
Amount
1.53
4.33
9

Decision Support System for Determining the Village Secretary Using the Analytic Hierarchy Process
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Information :
Row two, column three, good-enough, the comparison value of 3 means that one
very good element is slightly more important than the good element and so on.
b. Create sub-criteria value
Table 10.
Sub Criteria Value Matrix
Sub
Row Count
Very good
Well
Enough
Average
Criteria
Value
Very
1/1.53=
3/4.33=
5/9= 0.56
1.90
0.63
good
0.65
0.69
0.33/1.53=
1/4.33=
Well
3/9= 0.33
0.78
0.26
0.22
0.23
0.20/1.53= 0.33/4.33=
Enough
1/9= 0.11
0.32
0.11
0.13
0.08
Amount
1
a) In the very good column, the very good row divided by the number of very good
columns, then the value is 1/1.53 = 0.65. In the very good column, the very good
row is divided by the number of sufficient columns 3/4.33 = 0.69 and so on.
b) The value of 1.90 in the column for the number of rows is obtained through the
sum of 0.65 + 0.69 + 0.56 = 1.90 and so on.
c) And the summed average value must be 1 and cannot be above one because the
value is inconsistent.
c. Calculating the Eigenvector Values of Each Matrix
Table 11.
Eigenvector Value
Lambda Max 3.06
CI
0.03
CR
0.05
Max value is obtained by = mean*number
(0.63*1.53)+(0.26*4.33)+(0.11*9)= 3.06
CI= (Max-n)/(n-1) = (3.06-3)/(3-1)=0.03
CR= CI/IR= 0.03/0.58=0.05

per

column

=

3.8 Calculating the priority of the sub-criteria from the Behavior criteria
a. Creating a comparison matrix
Table 12.
Comparison Matrix
Sub Criteria
Very good
Well
Enough
Very good
1
2
5
Well
1/2 = 0.5
1
4
Enough
1/5 0.2
1/4= 0.25
1
Amount
1.7
3.25
10
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Information :
Row two column four, very good - enough, the comparison value of 5 means that one
element is very good, one is more important than the element is sufficient. Etc.
b.

Create sub-criteria value

Sub Criteria
Very good
Well
Enough

Table 13.
Sub Criteria Value Matrix
Row Count
Very good
Well
Enough
Value
0.59
0.62
0.5
1.70
0.29
0.31
0.4
1.00
0.12
0.08
0.1
0.29
Amount

Average
0.57
0.33
0.10
1.00

a) In the good column, the row is very good divided by the number of very good
columns, the value is 1/1,7 = 0,59 and so on.
b) In the column the value of the number of rows is obtained through the sum of
0.59 + 0.62 + 0.5 = 1.70 and so on.
c) In the column the average is obtained through the value of the number of rows/n
= 1.70/3 = 0.57 and so on. And the summed average value must be 1 and cannot
be above one because the value is inconsistent.
c.

Calculating the Eigenvector Values of Each Matrix
Table 14.
Eigenvector Value
Lambda Max
3.03
CI
0.02
CR
0.03
a) Max value is obtained by =
(0.57*1.7)+(0.33*3.25)+(0,10*10)= 3.03
b) CI= (Max-n)/(n-1) = (3.03-3)/(3-1)=0.02
c) CR= CI/IR= 0.02/0.58=0.03

mean*number

per

column

=

3.9 Calculating the priority of the sub-criteria from the Age criteria
a. Creating a comparison matrix
Table 15.
Comparison Matrix
Sub Criteria
Very good
Well
Enough
Very good
1.00
3.00
5.00
Well
0.33
1.00
3.00
Enough
0.20
0.33
1.00
Amount
1.53
4.33
9.00

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Information :
a) Row two, column two, very good – very good, the comparison value of 1 means
that the youth element is as important as the youth element.
b) Row three, column two, good – very good, the comparison value 1/3 = 0.33
means that the good element is not one more important than the very good
element.
b. Create sub-criteria value
Table 16.
Sub Criteria Value Matrix
Sub
Very
Well
Enough Row Count Value Average
Criteria
good
Very
0.65
0.69
0.56
1.90
0.63
good
Well
0.22
0.23
0.33
0.78
0.26
Enough
0.13
0.08
0.11
0.32
0.11
Amount
1.00
a) In the teenage column, the very good row is divided by the number of very good
columns, the value is 1/1.53 = 0.65 and so on.
b) In the column the value of the number of rows is obtained through the sum of
0.65 + 0.69 + 0.56 = 1.90 and so on.
c) The value of 1.33 in the average column is obtained through the value of the
number of rows/n = 1.90/3 = 0.63 and so on. And the summed average value
must be 1 and cannot be above one because the value is inconsistent.
c.

Calculating the Eigenvector Values of Each Matrix
Table 17.
Eigenvector Value
lamda max
2.559965316
ci
-0.220017342
Cr
0
a) Max value is obtained by =
(0.63*1.53)+(0.26*4.33)+(0.11*9)= 2.55
b) CI= (Max-n)/(n-1) = (2-2)/(2-1)=-0.22
c) CR= CI/IR= 0/0=0

mean*number

per

column

=

3.9 Calculating the priority of the sub-criteria from the Population Status criteria
a. Creating a comparison matrix
Table 18.
Comparison Matrix
Sub Criteria
Permanent
Not fixed
Permanent
1
7
Not fixed
1/7= 0.14
1
Amount
1.14
8

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Information :
a) Row two column three, fixed and variable, the comparison value of 7 means that
the fixed element is clearly more absolutely important than the variable element.
b) Row two column three, fixed and variable, the comparison value of 1/7 = 0.14
means that the variable element is clearly not more absolutely important than the
fixed element.
b. Create sub-criteria value
Table 19.
Sub Criteria Value Matrix
Sub Criteria
Permanent Not fixed Row Count Value Average
Permanent
0.88
0.88
1.75
0.88
Not fixed
0.13
0.13
0.25
0.13
Amount
1
a) In a fixed column of a fixed row divided by the number of fixed columns, the
value is 1/1.14 = 0.88. In fixed column, variable row, the value is divided by the
number of variable column 7/8 = 0.88 and so on.
b) The value of 1.75 in the column for the number of rows is obtained through the
sum of 0.88 + 0.88 = 1.75 and so on.
c) The value of 0.88 in the average column is obtained through the value of the
number of rows/n = 1.75/2 = 0.88 and so on. And the summed average value
must be 1 and cannot be above one because the value is inconsistent.
c. Calculating the Eigenvector Values of Each Matrix
Table 20.
Eigenvector Value
Lambda Max
2
CI
0
CR
0
a) Max value is obtained by = mean*number per column = (0.88*1.14)+(0.13*8)=
2.
b) CI= (Max-n)/(n-1) = (2-2)/(2-1)=0
c) CR= CI/IR= 0/0=0
After determining the value of the criteria and sub-criteria, the priority of the
calculation results on the criteria and sub-criteria is then poured into the result matrix.
Table 21.
Result Matrix
Education
0.19
Very good
0.63
Well
0.26
Enough

Work
experience
0.10
Very good
0.63
Well
0.26
Enough

Behavior

Age

Resident Status

0.16
Very good
0.57
Well
0.33
Enough

0.06
Very good
0.63
Well
0.26
Enough

0.49
Permanent
0.875
Not fixed
0.125

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0.11

0.11

0.10

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0.11

Then the results of the determination of those who are eligible to occupy the
village secretary are calculated as the final value of the decision as shown in the table
below.
Table 22.
Final Result of AHP Method
Village
Secretary
Work
Resident
Education
Behavior Age
Total
Ket
Candidate
experience
Status
Data
Muhammad
Not
0.12
0.01
0.05
0.02
0.43
0.63
Helmi
feasible
Muhammad
Not
0.02
0.07
0.02
0.02
0.43
0.54
Shahran
feasible
Sri
0.12
0.07
0.09
0.04
0.43
0.74 worthy
Yusmawati
Maulisa
Not
0.02
0.01
0.05
0.01
0.43
0.52
Puspa
feasible
From the table above, it can be seen from table 2 and the results of table 22 are
obtained from the results of multiplying the priority value multiplied by the sub-priority
value, then the results obtained for each criterion are added to each criterion so as to
produce a total value. Then the highest value that deserves to be in the position of
village secretary.
4. Conclusion
The Analytic Hierarchy Process (AHP) method can be applied to the decision support
system for determining the village secretary by defining the problem by determining the
criteria, namely Education, Work Experience, Behavior, Age, and Population Status,
then making a hierarchical structure, namely in determining the village secretary there
are 5 criteria and 4 candidates named Muhammad Helmi, Muhammad Syahran, Sri
Yusmawati and Maulisa Puspa who are interrelated with each other, then make a
comparison matrix, then perform pairwise comparisons, after that calculate the
eigenvector value of each matrix and the final result of the calculation can be accepted
if CR calculation result < 0.1.
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p-ISSN : 2086-7867
e-ISSN : 2808-9170
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Decision Support System for Determining the Village Secretary Using the Analytic Hierarchy Process
Method in the Village of Kubah Sentang Pantai Labu (Petti Indrayati Sijabat)