TOPSIS Method Application for Decision Support System in Internal Control for Selecting Best Employees

Journal of Physics: Conference Series
PAPER • OPEN ACCESS
TOPSIS Method Application for Decision Support
System in Internal Control for Selecting Best
Employees
To cite this article: Robbi Rahim et al 2018 J. Phys.: Conf. Ser. 1028 012052
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2nd International Conference on Statistics, Mathematics, Teaching, and Research IOP Publishing
IOP Conf. Series: Journal of Physics: Conf. Series 1028 (2018) 012052 doi:10.1088/1742-6596/1028/1/012052
TOPSIS Method Application for Decision Support System in
Internal Control for Selecting Best Employees
Robbi Rahim1
, S Supiyandi2
, A P U Siahaan1,2
, Tri Listyorini3
, Andy Prasetyo
Utomo4
, Wiwit Agus Triyanto4
, Yudie Irawan4
, Siti Aisyah5
, Mufida Khairani6
,
Siti Sundari6
and K Khairunnisa6
1
School of Computer and Communication Engineering, Universiti Malaysia Perlis,
Kubang Gajah, Malaysia
2
Department of Computer System, Universitas Pembangunan Panca Budi, Medan,
Indonesia
3
Department Informatics, Universitas Muria Kudus, Kudus, Indonesia
4
Department of Information System, Universitas Muria Kudus, Kudus, Indonesia
5
Department of Plantation Technology, Sekolah Tinggi Ilmu Pertanian Agrobisnis
Perkebunan, Medan, Indonesia
6
Department of Informatics, Universitas Harapan Medan, Medan, Indonesia
*usurobbi85@zoho.com
Abstract. The selection of the best employees is one of the process of evaluating how well the
performance of the employees is adjusted to the standards set by the company and usually done
by top management such as General Manager or Director. In general, the selection of the best
employees is still perform manually with many criteria and alternatives, and this usually make
it difficult top managerial making decisions as well as the selection of the best employees
periodically into a long and complicated process. Therefore, it is necessary to build a decision
support system that can help facilitate the decision maker in determining the best choice based
on standard criteria, faster, and more objective. In this research, the computational method of
decision-making system used is Technique for Order of Preference by Similarity to Ideal
Solution (TOPSIS). The criteria used in the selection of the best employees are: job
responsibilities, work discipline, work quality, and behaviour. The final result of the global
priority value of the best employee candidates is used as the best employee selection decision
making tool by top management.
1. Introduction
Inside the company there are many human resources called employees. Improving the function of
human resources, especially employees are very influential to improve productivity and progress from
achieving the company's target. Therefore, in this research will be appointed a case that is looking for
the best employee[1] based on predetermined criteria by using Technique for Order of Preference by
Similarity to Ideal Solution[2], [3] (TOPSIS) method to perform the calculation on selection best
employee. This method is chose because it is able to select the best alternative from a number of

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alternatives based on the criteria specified or called Multi Attribute Decision Making[2], [4], [5]. The
criteria is dynamic, its weight value can be changed as desired by user. Then do the ranking process
that will determine the best employees that have been recommended. The decision taken is not a final
decision, because the final decision remains with the decision maker[5]–[9].
Problems occur in the inappropriateness of the advisor in giving an assessment to the employees
because the assessed is the subjectivity for each employee, the resulted in the assessment given is still
uncertain, this problem can be solved by using a decision support system with TOPSIS method.
Previous research has described the use of TOPSIS method theory for the best employee selection[10],
even some previous research on the use of TOPSIS method has been very much with various
cases[11], the application of TOPSIS method on web application for the best employee selection is
expected to contribute different from previous research that already exist.
2. Methodology
TOPSIS is one of multiple criteria decision making method that was first introduced by Yoon and
Hwang[12], [13]. TOPSIS using the principle that the alternatives selected must have the shortest
distance from the positive ideal solution and the farthest from the negative ideal solution from a
geometrical point by using the Euclidean distance to determine the relative proximity of an alternative
to the optimal solution[12]–[14]. Positive ideal solution is defined as the sum of all the best value that
can be achieved for each attribute, while the negative-ideal solution consists of all the worst value
achieved for each attribute. TOPSIS into account both the distance of the positive ideal solution and
the distance to the negative ideal solution by taking the relative proximity to the positive ideal
solution. Based on the comparison[15] of the relative distance, alternative priority order can be
achieved. This method is widely used to complete the decision making. This is due to the concept is
simple, easy to understand, efficient computation, and has the ability to measure the relative
performance of the alternatives decision[13], [14], [16], [17].
The steps in calculating the TOPSIS method[18]:
a. Make a decision matrix is normalized.
b. Normalized weighted.
With the weight w j = (w1, w2, w3,..., Wn), where w j is the weight of the criteria for all j and j
1 wj 1, The normalization of weight matrix V, is v ij = w j * rij
c. Determining the ideal solution matrix of positive and negative ideal solution by using this formula:
A+
= {(max vij | j ∈ J), (min vij | j ∈ J′), i = 1,2,3, … , m
= { V1
+
, V2
+
, V3
+
, … , Vn
+
}
A−
= {(min vij | j ∈ J), (max vij | j ∈ J′), i = 1,2,3, … , m}
= { V1
−
, V2
−
, V3
−
, … , Vn
−
}
d. Calculating separation
a. 𝑆 + is an alternative distance from the positive ideal solution is defined as:
Where i = 1, 2, 3,. , , , m

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b. 𝑆 − is an alternative distance from the negative ideal solution is defined as:
Where i = 1, 2, 3,. , , , m
e. Calculating positive ideal solution with this function:.
Ci
+
=
si
−
(si
−
+ si
+
)
f. Alternative rank.
Alternative 𝐶+
sorted from largest value to the smallest value. Alternative with the largest value of
𝐶+
the best solution
3. Result and Discussion
Experiment is perform by using few criteria as in Table 1 below:
Table 1. Criteria TOPSIS
Criteria
Job Responsibilities
Work Discipline
Work Quality
Behavior
Information criteria listed in Table 1 was added to the application that is designed as in Fig. 1
below:
Figure 1. Criteria form
The next process is to determine the value of weight and weighted value information for each
criterion in Table 1.
Table 2. Range Criteria
Range Criteria 1: Very Bad
2: Bad
3: Pretty Good
4: Good

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5: Very Good
Table 3. Weight of Criteria
No Criteria
Weight
(W)
1 Job Responsibilities 5
2 Work Discipline 4
3 Work Quality 3
4 Behavior 3
Based on the information Table 2 and 3 in the input into the program with the following results:
Figure 2. Criteria Weight Value
Alternative data used as in Table 4 below:
Table 4. Alternative
No Alternative Description
1 Sani A1
2 Dika A2
3 Abdul A3
4 Eli A4
5 Herbert A5
Information in Table 4 then adjusted to the program designed, the result is as follows:

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Figure 3. Alternative Value
After determining the criteria, weights and alternatives, the next process is to determine the value
for each alternative and calculate it with the TOPSIS formula, see Table 5 below:
Table 5. Values Each Alternatives
No Alternative
Job
Responsibilities
Work
Discipline
Work
Quality
Behavior
1. A1 4 3 4 4
2. A2 5 4 3 3
3. A3 3 4 5 4
4. A4 4 4 3 3
5. A5 5 4 5 4
The information contained in Table 5 in the input into the system with the display as in Fig. 4
below:
Figure 4. Value for each Alternative

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Testing the best employee selection using applications designed by applying the TOPSIS method
can be seen in figure 5.
Figure 5. Value Alternative in Selection Process
Figure 6. TOPSIS Result

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Figure 7. Graph Result TOPSIS
Figure 6 and figure 7 is the result of the calculation process in the designed web application, from
the calculation process done employed by the name of Herbert is the best employee based on TOPSIS
calculation, the result given is not a final decision but only give recommendation to the leader to take
the decision better.
4. Conclusion
The use of TOPSIS method on decision support system can assist the managerial in obtaining
competent candidates and also be minimized with data obtained from decision support system.
References
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