DECISION SUPPORT OF CONTRACT EMPLOYEE PERFORMANCE ASSESSMENT USING SAW METHOD AT PT. AEROFOOD ACS
DECISION SUPPORT OF CONTRACT EMPLOYEE PERFORMANCE ASSESSMENT USING SAW METHOD AT PT. AEROFOOD ACS
Fathur Rahman1*); Naf’a Syarifa2*); Hendri3; Hafifah Bella Novitasari4; Windu Gata5
1,5Program Studi Ilmu Komputer Universitas Nusa Mandiri xxx.xxxxxxxxxxx.xx.xx
14002351@nusamandiri.ac.id1*), windu@nusamandiri.ac.id5
2Program Studi Sistem Informasi Universitas Bina Sarana Informatika, Indonesia
xxx.xxx.xx.xx 11190313@nusamandiri.ac.id2*), hendri.hed@nusamandiri.ac.id3
4Program Studi Sistem Informasi STMIK Xxxx Xxxxx xxx.xxxxx.xxxxxxxxx.xx.xx hafifahbela@stmik-banisaleh.ac.id4
(*) Corresponding Author
Abstract— Human resource management of a company greatly influences many aspects that determine the success of the company's performance. If HR can be well organized, it is hoped that the company can carry out all its business processes properly. Because of this, PT. Aerofood ACS, which has many contract employees, needs an employee performance appraisal in determining contract extensions. The role of decision support systems is needed to increase the efficiency of decision-making. In this case, it helps the management achieve the objectives of the performance appraisal of contract employees through the parameters that have been determined by the company, including Discipline, Integrity, Achievement Orientation, Continuous Learning, Continuous Improvement, Quality Orientation, Customer Service Orientation, and Teamwork. To find a solution solving this problem, the method used in the Decision-Making System is the Simple Additive Weighting (SAW) method. All parameters stated have an important influence in determining the best alternative decision in determining the employee contract extension.
Keywords: decision support; employee performance assessment; simple additive weighting.
Abstrak— Pengelolaan SDM dari suatu perusahaan sangat mempengaruhi banyak aspek penentu keberhasilan kinerja perusahaan tersebut. Jika SDM dapat di organisir dengan baik, maka diharapkan perusahaan dapat menjalankan semua proses bisnisnya dengan baik. Oleh karena hal tersebut, PT.
Aerofood ACS yang memiliki banyak karyawan kontrak, perlu adanya penilaian kinerja karyawan dalam menentukan perpanjangan kontrak. Peran sistem pendukung keputusan sangat dibutuhkan guna meningkatkan efisiensi pengambilan keputusan. Dalam hal ini membantu pihak manajemen dalam mencapai tujuan dari penilaian kinerja karyawan kontrak melalui parameter- parameter yang sudah ditentukan oleh pihak perusahaan tersebut, diantaranya Discipline, Integrity, Achievement Orientation, Continnous Learning, Continunous Improvement, Quality Orientation, Customer Service Orientation, xxx Teamwork. Untuk mencari solusi dalam menyelesaikan masalah tersebut, metode dalam Sistem Pengambilan Keputusan yang digunakan yaitu dengan metode Simple Additive Weighting (SAW). Semua parameter yang dinyatakan mempunyai pengaruh penting dalam penetapan alternatif keputusan terbaik dalam menentukan perpanjangan kontrak karyawan.
Kata Kunci: pendukung keputusan; penilaian kinerja karyawan; simple additive weighting.
INTRODUCTION
Employees are one of the most important human resources in a company. One of the efforts in carrying out the success of the company's performance is a performance appraisal. According to (Xxxxxxxx et al, 2020) human resources is one of the strategic areas of the organization. One way to obtain quality Human Resources can be through employee performance appraisal efforts. In
everyday life, a person often faces choices to make decisions. The ability to make quick and wise decisions will be the key to success in global competition.
Recommendations to determine decision making is one of the matters relating to semi- structured issues (Nofriansyah & Defit, 2017). This is because employees are the company's most important asset in maintaining its survival, development, competitiveness, and profitability (Hertyana, 2018). According to (Xxxxxxx, 2019) it is necessary to make plan Human Resources to maintain quality in increasingly fierce competition between employees, and the decision to extend the contract becomes increasingly difficult, especially if there are only a few employees with slight differences in abilities. Unfair decisions can have a negative impact on the company. This will reduce the level of performance of company employees. Therefore, it is necessary to make the right and wise decisions to determine the promotion of employees. In general, contract extensions are based on recommendations from superiors or related work units, based on Discipline, Integrity, Achievement Orientation, Continuous Learning, Continuous Improvement, Quality Orientation, Customer
Service Orientation, Teamwork in carrying out their duties.
Therefore, it is necessary to process employee evaluation data processing to make it easier for superiors to make decisions regarding employee contract extensions more easily. Currently the company still uses MS Excel to process employee evaluation data, so given the large number of employees, input errors are very likely to occur and require a relatively long time. Other than that,
information about changing staff formations is often confusing. The method used to determine the extension of the employee contract using Simple Additive Weighting (SAW). If this method is a weighted calculation method, or provides several standard methods, each value from this standard has a weight, then the total weight will be the final decision (Xxxx & Xxxxxxx, 2019). This method is the most widely used method in dealing with Multiple Attribute Decision Making (MADM) situations (Xxxxxxxx & Informatika, 2015). Problem solving using the Simple Additive Weighting (SAW) method to describe the weights that meet the appropriate contract extension criteria (using the manual method), so it takes a lot of time to determine employee weights.
Table 1. Study of Literature
Research Problem | Literature Support | |
Problem Analysis I | Calculation of Ms. xxxxx takes a long time to determine employee performance. | The manual assessment process is very likely to make errors in calculating each criterion, and it takes a long time in the calculation process (Ades, et al 2015) |
Often manual processes have difficulty in employee performance being slow and inaccurate (Yoga & Hendra, 2015) | ||
The number of employees with manual processes takes a long time and often employee performance appraisals are carried out not objectively (Siti & Widania, 2019) | ||
Problem Analysis II | Gradual selection | Staged selection such as filing, oral & written tests and interviews looks less precise and takes a long time (Xxxxx, 2015) |
From the results of the research literature in Table 1, it is explained that currently the problems in performance appraisal include the absence of an easier calculation to calculate the data for each criterion. The data is useful for determining the weighting value within a certain period of time with a subjective assessment. Based on previous research to solve this problem, several techniques are used in determining employee contract extensions. The results showed that the gap analyst explained the Simple Additive Weighting method of decision support model that was able to provide the best recommended solution with the criteria and
weights determined at the beginning before the calculation.
The purposes of scientific writing are 1) To provide ideas on how to use the Simple Additive Weighting (SAW) method to determine a decision support system for evaluating contract employee performance. 2) Design a decision-making system that can more easily determine employee contract extensions. 3) Support the smooth performance evaluation system and make it easier to determine the contract extension data to be determined. 4) Help determine data related to processing and
determine whether it meets contract employee renewal requirements.
MATERIALS AND METHODS
8. The results of the normalized performance rating (rij) form a normalized matrix (R)
⎡X11 X12 … X1j⎤
Simple Additive Weight (SAW) Method
According to (Nofriansyah, 2015) suggests that
R = ⎢
⎢
⎢
. .
. . .
. .
⎥ ............................................................(4)
⎥
⎥
the Simple Additive Weighting method is often also known as the weighted addition method. The basic concept of Simple Additive Weighting is to find the weighted sum of the performance ratings on each alternative on all attributes. The Simple Additive Weighting method requires the process of normalizing the decision matrix (X) to a scale that can be compared with all existing alternative ratings.
The steps for solving a problem using the Simple Additive Weighting method are:
1. Determine the alternative, namely Ai.
2. Determine the criteria that will be used as a reference in making decisions, namely Cj.
3. Determine the suitability rating of each alternative on each criterion.
4. Determine the preference weight or importance level (W) of each criterion.
W = [W1, W2, W3,… Wj] (1)
5. Create a match rating table for each alternative on each criterion.
6. Make a decision matrix (X) which is formed from the suitability rating table of each alternative on each criterion. The value of X for each alternative (Ai) on each criterion (Cj) that has been determined, where i = 1,2,…m and j = 1,2,…n.
X11 X12 … X1j
[ Xi1 Xi2 … Xij ]
9. The final result of preference (Vi) is obtained from the addition and multiplication of normalized matrix row elements (R) with preference weights (W) corresponding to matrix column elements (W)
𝑗=1
𝑉𝑖 = ∑𝑛 𝑊𝑗𝑟𝑖𝑗 ...........................................................(5)
Information :
Vi = Rank for each alternative
Wj = Weighted value of each criterion rij = Normalized work rating value
A larger Vi value indicates that alternative Ai is preferred.
The steps taken from decision support for performance appraisal decisions with predetermined criteria are as follows:
1. Determine each of the criteria
Code | Criteria |
C1 | Discipline |
C2 | Integrity |
C3 | Achievement Orientation |
C4 | Continunous Learning |
C5 | Continunous Improvement |
C6 | Quality Orientation |
C8 | Team Work |
Table 2. Criteria Terms
⎡
⎢
X = ⎢
⎢
. .
. . .
. .
⎤
⎥
⎥ .....................................................,.(2)
⎥
Source : (Aerofood ACS, 2020)
[ Xi1 Xi2 … Xij ]
7. Normalize the decision matrix by calculating the value of the normalized performance rating (rij) from the alternative Ai on the Cj criteria.
From the provisions of the criteria in Table 2, each has the following explanation:
C1 = Be punctual in using work time both at work and at rest, including other activities
rij =
Xij
Xxxx Xxx
MiniXij
{ Xij
If j is a benefit attribute (benefit)
..........................................................(3)
If j is a cost attribute (cost)
determined by the company and using work clothes in accordance with the provisions that have been set.
C2 = Uphold integrity and behave consistently according to company values. Such as: acting honestly, keeping promises, not KKN, refusing bribes/gratuities, not taking advantage of vendors,
Information :
rij = Normalized performance rating value
Max Xij = Maximum value of each criterion Min Xij = Minimum value of each criterion Xij = The attribute value of each
criterion
Benefit = If the biggest value is the best Cost = If the smallest value is the best
etc.
C3 = Work seriously to the maximum and consistently in achieving work targets / exceeding customer / superior expectations.
C4 = Always actively learning new things to increase competence and support performance achievement, such as actively participating in training/seminar activities, reading books, learning from superiors, trial & error, etc.
C5 = Always come up with new ideas that are creative and active in improving the work system in the work area to make it more effective and efficient. C6 = Always comply with SOPs and do not repeat mistakes in work and ensure work results are in accordance with established standards or customer expectations both internally and externally (including superiors).
C7 = Identify, understand and provide products & services according to the needs / desires of customers both internally / externally (including superiors) and evaluate their satisfaction with the products / services provided.
C8 = Able to work together in a team such as: helping and supporting co-workers, not prioritizing personal interests, respecting the opinions of others who are different, participating in providing suggestions/ideas for the team, appreciating colleagues who excel, sharing important information with the team, etc.
2. Give a weight value to the criteria
Table 3. Value Determination
Code | Criteria | Weight |
C1 | Discipline | 15 |
C2 | Integrity | 20 |
C3 | Achievement Orientation | 10 |
C4 | Continunous Learning | 10 |
C5 | Continunous Improvement | 10 |
C6 | Quality Orientation | 15 |
C7 | Customer Service Orientation | 10 |
C8 | Team Work | 10 |
Source : (Xxxxx & Xxxxxxx, 2016)
There is a weighted value given for each criterion in Table 3, with the determination of values varying from the highest weight C1 to the lowest weight C3, C4, C5, C7 and C8.
3. Weighting on each criterion
Table 4. Criteria Weighting (C1)
Discipline Assessment | Information | Score |
1-20 | Very low | 1 |
21-40 | Low | 2 |
41-60 | Medium | 3 |
61-80 | High | 4 |
81-100 | Very high | 5 |
Source : (Xxxxx & Xxxxxxx, 2016)
Table 5. Criteria Weighting (C2)
Integrity Assessment | Information | Score |
1-20 | Very low | 1 |
21-40 | Low | 2 |
41-60 | Medium | 3 |
61-80 | High | 4 |
81-100 | Very high | 5 |
Source : (Xxxxx & Xxxxxxx, 2016)
Table 6. Criteria Weighting (C3)
Achievement Orientation Assessment | Information | Score |
1-20 | Very low | 1 |
21-40 | Low | 2 |
41-60 | Medium | 3 |
61-80 | High | 4 |
81-100 | Very high | 5 |
Source : (Xxxxx & Xxxxxxx, 2016)
Table 7. Criteria Weighting (C4)
Continunous Learning Assessment | Information | Score |
1-20 | Very low | 1 |
21-40 | Low | 2 |
41-60 | Medium | 3 |
61-80 | High | 4 |
81-100 | Very high | 5 |
Source : (Xxxxx & Xxxxxxx, 2016)
Table 8. Criteria Weighting (C5)
Continunous Improvement Assessment | Information | Score |
1-20 | Very low | 1 |
21-40 | Low | 2 |
41-60 | Medium | 3 |
61-80 | High | 4 |
81-100 | Very high | 5 |
Source : (Xxxxx & Xxxxxxx, 2016)
Table 9. Criteria Weighting (C6)
Quality Orientation Assessment | Information | Score |
1-20 | Very low | 1 |
21-40 | Low | 2 |
41-60 | Medium | 3 |
61-80 | High | 4 |
81-100 | Very high | 5 |
Source : (Xxxxx & Xxxxxxx, 2016)
Table 10. Criteria Weighting (C7)
Customer Service Orientation Assessment | Information | Score |
1-20 | Very low | 1 |
21-40 | Low | 2 |
41-60 | Medium | 3 |
61-80 | High | 4 |
81-100 | Very high | 5 |
Make a decision matrix formed from the table of the Suitability Rating of each alternative on each criterion that has been determined with the decision matrix (X) as follows:
Source : (Xxxxx & Xxxxxxx, 2016)
Team Work Assessment | Information | Score |
1-20 | Very low | 1 |
21-40 | Low | 2 |
41-60 | Medium | 3 |
61-80 | High | 4 |
81-100 | Very high | 5 |
Table 11. Criteria Weighting (C8)
4 5
4 | 4 | 4 | 4 | 4 | 4 |
4 | 4 | 4 | 4 | 4 | 5 |
5 | 5 | 4 | 5 | 5 | 5 |
5 | 4 | 4 | 5 | 5 | 5 |
4 | 4 | 5 | 4 | 5 | 5 |
5 | 4 | 5 | 5 | 5 | 5 |
5 | 5 | 4 | 5 | 4 | 5 |
5 | 5 | 4 | 4 | 4 | 4 |
5 | 5 | 5 | 4 | 5 | 4 |
4 | 4 | 4 | 4 | 4 | 4 |
4 | 4 | 4 | 5 | 5 | 4 |
5 | 5 | 5 | 4 | 5 | 5 |
4 | 5 | 4 | 4 | 4 | 5 |
5 | 4 | 4 | 4 | 4 | 4 |
4 | 5 | 5 | 4 | 4 | 4 |
⎛4 4⎞
⎪5 5⎪
4
4
⎪ ⎪
⎪ ⎪
⎪4 5⎪
⎪4 5⎪
⎪5 5⎪
𝑋 = 4 4
⎨5 5⎫
⎪4 4⎪
5
5
⎪ ⎪
⎪ ⎪
⎪5 5⎪
⎪4 4⎪
⎪5 4⎪
{4 4}
Source : (Xxxxx & Xxxxxxx, 2016)
Based on the weighting of the criteria in Table 4-11, of course it will affect the results of the calculations in criteria C1 to C8. There is a
performance assessment based on the criteria
3. Normalization of Decision Matrix (X)
From the decision matrix equation X obtained Normalization matrix R as follows:
0.8 0.8 0.8 0.8 0.8 0.8 0.8 1
⎛0.8 0.8 0.8 0.8 0.8 0.8 1 0.8⎞
⎪ 1 1 1 0.8 1 1 1 1 ⎪
⎪ ⎪
above, the company matches the value according to the highest length is 5 and the lowest is 1.
RESULTS AND DISCUSSION
weights in performing calculations so as to obtain | ⎪ 1 | 1 | 1 | 1 | 0.8 | 1 | 1 | ⎪ 1 ⎪ |
the best alternative results using the Simple | ⎪0.8 | 0.8 | 1 | 0.8 | 0.8 | 0.8 | 1 | 0.8⎪ |
Additive Weighting (SAW) method as follows : | ⎪ 1 | 1 | 0.8 | 0.8 | 0.8 | 0.8 | 0.8 | 0.8⎪ |
1. Value of each employee's suitability rating | {0.8 | 0.8 | 1 | 1 | 0.8 | 0.8 | 0.8 | 0.8} |
One of the solutions to the problem of evaluating employee performance, it requires criteria and
⎪0.8 1 0.8 0.8 1 1 1 0.8⎪
⎪0.8 0.8 0.8 1 0.8 1 1 1 ⎪
⎪0.8 1 0.8 1 1 1 1 1 ⎪
⎪ 1 1 1 0.8 1 0.8 1 1 ⎪
R = 0.8 1 1 0.8 0.8 0.8 0.8 0.8
⎨ 1 1 1 1 0.8 1 0.8 1 ⎫
⎪0.8 0.8 0.8 0.8 0.8 0.8 0.8 0.8⎪
⎪ 1 0.8 0.8 0.8 1 1 0.8 1 ⎪
⎪
Table 12. Suitability Rating
No. | Employee Code | Employee Assessment Results | |||||||
C1 | C2 | C3 | C4 | C5 | C6 | C7 | C8 | ||
1 | A1 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 5 |
2 | A2 | 4 | 4 | 4 | 4 | 4 | 4 | 5 | 4 |
3 | A3 | 5 | 5 | 5 | 4 | 5 | 5 | 5 | 5 |
4 | A4 | 4 | 5 | 4 | 4 | 5 | 5 | 5 | 4 |
5 | A5 | 4 | 4 | 4 | 5 | 4 | 5 | 5 | 5 |
6 | A6 | 4 | 5 | 4 | 5 | 5 | 5 | 5 | 5 |
7 | A7 | 5 | 5 | 5 | 4 | 5 | 4 | 5 | 5 |
8 | A8 | 4 | 5 | 5 | 4 | 4 | 4 | 4 | 4 |
9 | A9 | 5 | 5 | 5 | 5 | 4 | 5 | 4 | 5 |
10 | A10 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
11 | A11 | 5 | 4 | 4 | 4 | 5 | 5 | 5 | 5 |
12 | A12 | 5 | 5 | 5 | 5 | 4 | 5 | 5 | 5 |
13 | A13 | 4 | 4 | 5 | 4 | 4 | 4 | 5 | 4 |
14 | A14 | 5 | 5 | 4 | 4 | 4 | 4 | 4 | 4 |
15 | A15 | 4 | 4 | 5 | 5 | 4 | 4 | 4 | 4 |
Based on the results in Table 12. between A1- A15 have different suitability rating values, this depends on each employee's value on each of the existing criteria.
2. Decision Matrix
4. Calculation Results
Table 13. Calculation Results
No. | Employee Name | Test Result |
V1 | Khairunnisa Prawidya | 8.2 |
V2 | Xxxxx Xxxxxx Xxxxxxx | 8.2 |
V3 | Taryono | 9.8 |
V4 | Xxxxxx Xxxxxx | 9.1 |
V5 | Khodirin | 8.9 |
V6 | Xxxxxxx Xxxxx Xxxxxxx | 9.5 |
V7 | Xxxxxxx Xxxxxx Xxxxxx | 9.5 |
V8 | Rivan Arbianto | 8.6 |
V9 | Xxxxxxx | 9.6 |
V10 | Arman | 8 |
V11 | Qoisul Kurnain | 9 |
V12 | Xxxx Xxxxxx | 9.8 |
V13 | Xxxxx Xxxxxxx | 8.4 |
V14 | Xxx Xxxxxx | 8.7 |
V15 | Xxxx Xxxxxxxxx | 8.4 |
Based on the results of the ranking process in Table 13, the largest value is obtained in V3 and V12, so that the alternative V3 on behalf of Taryono and V12 on behalf of Xxxx Xxxxxx is the chosen alternative as the best alternative for contract extension and is eligible as the first and second employee at PT Aerofood ACS.
Table 14. Best Contract Extension Ranking
No | Employee Name | Code | Result |
1 | Taryono | V3 | 9.8 |
2 | Xxxx Xxxxxx | V12 | 9.8 |
3 | Xxxxxxx | V9 | 9.6 |
4 | Xxxxxxx Xxxxx Xxxxxxx | V6 | 9.5 |
5 | Xxxxxxx Xxxxxx Xxxxxx | V7 | 9.5 |
6 | Xxxxxx Xxxxxx | V4 | 9.1 |
From the results of the calculations in Table 14, apart from Xxxxxxx and Xxxx Xxxxxx who are the best alternatives, it can also be determined that 6 (six) employees have the best value for the recommendation for extension of contract employees.
CONCLUSION
The Simple Additive Weighting (SAW) method of calculating the employee performance appraisal process by assigning a value to each weighting criterion with reference to Discipline, Integrity, Achievement Orientation, Continnous Learning, Continunous Improvement, Quality Orientation, Customer Service Orientation, Teamwork formed a compatibility rating with normalization and ranking to produce the highest and lowest scores, the best score is 9.8 on behalf of Taryono and the lowest score is 8 on behalf of Arman. Thus, getting a recommendation for an extension of a contract employee is not only seen through the criteria for discipline at work, but also based on several criteria.
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