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Received: January 1, 2017 1 International Journal of Intelligent Engineering and Systems, Vol.x, No.x, 20xx DOI: 10.22266/ijies2017.xxxx.xx AHP-TOPSIS MODELLING: Selection criteria of recruitment for Editorial Community (IDN TIMES) Pratiwi Susanti, S.Kom1 Prof. Ir Riyanarto Sarno, S.E, M.Sc, PhD 2 1 Department Management Technology and Information, Faculty of Bussiness and Management Technology Institut Of Technology Tenth Nopember (ITS) Jl Arief Rahman Hakim, Surabaya 60111 Email: [email protected] Abstract: There is no selection of new employees who choose and determine the best employees, but also important for Manager to carry out a policy.

The problem with selection of new employees at PT Media Putra Nusantara is very hard choicing the best editorial employee for regional team. Human resource management difficult for making quick decisions other thing due to the high number of job applicants and the process of selecting new employees who are still assumption. So the process recruitment having long time and the decision making process is less accurate. So, required the decision support system the best employee choice for team regional news in PT Media Putra Nusantara.

Method approach for solving this case is Analytical Hierarchy Process for determine the weight each criteria, and then using Technique For Order Preference By Similarity To Ideal Solution for use choicing ranking alternative employee regional news employee data. The result from AHP method is measure weight each criteria Keywords: Decision Support System; AHP; TOPSIS; Alternative; Criteria. 1. Introduction Employees are one of the important assets a company has to operate the business in order to sustain durability, growth, competitiveness, and profitability. Selection of editorial employees in several regions carried out by the Human Resources Department at PT. Media Putra Nusantara involved several factors. several factors according to HRD and the management company select candidates for selected employees consist of GPA assessment in undergraduate schools, work experience, psychological test results, direct interviews with managers and Human Resource Management Although, the final decision from the manager and the development of human resources tend always involve people on a large scale. One of weakness with still using manual (without involving a system) will produce a biased final result, even though experienced managers tend to have fewer influences [2] For solve this problem, there are several types of development of decision support systems that are suitable to solve some problems in the candidate selection process. Based on the main problem in the object of this research is to choose alternative data for editorial candidates who are selected as applicant editorial staff in each region The system then provides the results of recommendations in the form of the selected candidates for decision makers. Based on this issue, this study will use the correlation of two methods, the method of Analytical Hierarchy Process (AHP) and the order of preference by similarity to an Ideal solution (TOPSIS). The correlation of two methods approach was appropriate to obtain more accurate results in providing recommendations for decision makers. One of the many methods used to address the issue of weighting the criteria and the

Received: January 1, 2017 2 International Journal of Intelligent Engineering and Systems, Vol.x, No.x, 20xx DOI: 10.22266/ijies2017.xxxx.xx determination of the priority of each criterion is a method of AHP. In addition to the AHP method, there is also another method, namely Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The model of using the TOPSIS method is that the alternative results chosen must have the closest distance value from the positive ideal solution and the farthest from the negative ideal solution by using Euclidean distance to find the relative proximity value of an alternative with the optimal solution [10], [11]. Editorial employees at each election area have been selected by two managers; each Member of editorial each region there are five candidates. The criteria used to measure the value of this metric developed by the HR manager of the company. To get the value of the weighting of criteria, researchers asked two HR managers to give their opinions about the value of the interests of each of the criteria.. Steps by steps that will be applied in the use of the method AHP-TOPSIS method, first explain the brief description of the use of the AHP-TOPSIS method. The second part discusses the theory of the AHP-TOPSIS method. The third part discusses flowchart of the AHP-TOPSIS system, then the fourth part implements AHP-TOPSIS methods in the case of regional editorial employee selection at PT Media Putra Nusantara and the results are presented and analyzed in the fifth part. The last part is to explain conclusions from the results of the AHP-TOPSIS method 2. Overiview Decision Support System Definition of DSS is a system that is used to help a managerial resolve some semi-structured decision choices. DSS is used as additional reference material for decision makers to strengthen them in making a decision but not to replace their judgment Decision Support System (DSS) is a computer-based system consisting of three interconnected elements, namely a language system (a procedure for communicating communication between users and their decision support systems), knowledge systems (a set of package knowledge problems on a decision support system used as data) and processing systems problem (relation between two other elements, consists of one or more problems used for decision making) [6]. In decision support system consists of four life cycles in designing and building a decision support system, namely intelligence, design, choice, and implementation 2.1 Analytical Hyrarchi Process Method AHP method is one of the decision-making models developed by [3] in a more mathematically measurable. AHP can solve several problems in an organization/company by prioritizing several criteria by conducting pairwise comparison analysis of each criterion There are several principles in the AHP approach to solving a semi-structured problem, among others [7]: a. Decomposition Recognizing the complex system first then break down into smaller elements and easier to understand b. Comparative judgment Perform comparative comparisons in pairs on the criteria and alternative values to find the scale value of interest from each criterion against other criteria. Table 1 is a comparison scale presented by Saaty [2]. c. Synthesis of priority (priority setting) d. Logical Consistency (logical consistency) Table 1 The value of the priority comparison scale from Saaty Level Of Importance Definition Information 1 Equal Importance Both relations have the same effect 3 Weak importance of one over Siding with one element that is more important than the partner 5 Essential or strong importance only one is more important than the other 7 Demonstrated importance There is only one element that provides absolute importance than other elements 9 Extreme importance There is only one element that is preferred to give the most absolute level of importance than the other elements

Received: January 1, 2017 3 International Journal of Intelligent Engineering and Systems, Vol.x, No.x, 20xx DOI: 10.22266/ijies2017.xxxx.xx 2,4,6,8 Intermediate values between the two adjacent judgements The component values of the two element values are still a consideration – Respirokal kebalikan Reverse the valuation component of element i(rows) with j (column) The step by step procedure of AHP among others: 1) Make a pair-wise comparison matrix of criteria by using a scale of criteria by using a scale 1 to 9 given by Saaty [5]. Value 1, from that scale, is used when both criteria have same priority. Assuming N criteria, the pairwise comparison of criterion i with criterion j gives a square matrix ANXN where aij represents the relative importance of criterion i over the criterion j. In the matrix, aij =1 when i = j and aji=1/aij. � 2) Find the relative normalized weight (Wj) of each criterion by normalizing the geometric mean of rows in the comparison matrix 3) Calculate matrix A3 and A4 such that A3 = A1* A2 and A4 = A3 /A2, � where A2 = [W1,W2,…, Wj]T (2) 4) Find out the maximum eigen value which is the average of matrix A4. � 5) Calculate the consistency index (C.I.) � CI=!!””#! !!!! The lower value of C.I., indicates smaller deviation from the consistency. 6) Determine the consistency ratio (C.R.) C.R. = C.I. / R.I (4) According to Saaty, the value C.R ? 0.1 has been acceptable to make consistency in pair-wise comparisons. Where R.I is the random index and depends on the matrix size. For the matrix size 8, the value of R.I has been suggested 1.41 by saaty 2.2 TOPSIS Method Hyang and Yoon [6] developed a multi-criteria decision-making approach, called as TOPSIS. This approach has a systematic and simple procedure which provides ease in the calculation. The basic concept of this approach is to select the alternative on the basis of the shortest geometric distance from the Step-1 positive ideal solution and longest geometric distance from the negative ideal solution. The step by step procedure of TOPSIS given as: Step-1 Generate an evaluation matrix by considering of y alternatives and z criteria, with intersection of each alternative and criteria given as Xij, we therefore have matrix (Xij)xyz Step-2 Normalized of matrix (Xij)yxz to convert into matrix R = ( Nij )yxz , using the normalization formula given as: Nij= Xij !””#?!!!!!!”” Step-3 Determain the weighted normalized decition matrix D= (dij) yxz = ( wj nij) i =1, 2, . . . y

Received: January 1, 2017 4 International Journal of Intelligent Engineering and Systems, Vol.x, No.x, 20xx DOI: 10.22266/ijies2017.xxxx.xx D = Step- 4 Find out the positive and negative ideal solution !! ={(!””#! dij | ! ?!), (!””#! dij | ! ?!!) for i= 1, 2 . . . y} = d1!, d2! dj!, d!! !! ={(!””#! dij | ! ?!), (!””#! dij | ! ?!!) for i= 1, 2 . . . y} = d1!, d2! dj!, d!! Where, J ={j=1,2, . . . z | j associated with the benefit criteria} J = {j=1,2, . . . z | j associated with the cost criteria} Step-5 : Calculate distance/separation from: a. Positive Ideal separation !i! =(d!””?d!! !!!!)! i= 1,2 . . . , y !i! =(d!””?d!!!!!!)! i= 1,2 . . . , y Step 6 : Calculate the Relative closeness coefficient to the ideal solution CCi = !!!!!!! !!! , 0 < CCi < 1 i= 1,2 ,y CCi= 1 if Ai = !i! CCi= 0 if Ai = !i! The rank considered alternatives can decide, according to descending order of CCI 3.0. Research Object This research was carried out in the Surabaya area as the object under study was the recruitment system for each regional editorial employee at PT Media Putra Nusantara 3.1 Data Collection The process of collecting data do through observation, interviews and literature studies. Observations and interviews are used to collect data and information from companies such as editorial candidate data, criteria for selection of editorial candidates, and weights. Then the interview process is done by the HRD manager and editorial division manager who is responsible for the process of selecting editorial staff in each region. Then to understand the concepts and theories of the application of the AHP method, TOPSIS, and AHP-TOPSIS methods, researchers conducted literature studies through journals, the internet, and relevant books. 3.2 Method Research The research process begins by determining the criteria. That is considered by selecting the editorial candidates suitable for the company PT Media Putra Nusantara as seen in table 2.0 Table 2.0 Selection criteria for candidates Code Criteria 1 Work experience 2 Editing and writing skills 3 Psychology Test Results 4 Health Test Results 5 Interview results with manager Then is to determine the alternative in the form of candidate employees who will be select as editorial employees. The sample of employees to be assessed is 5 employees as in table 3.0 Code Alternative Employee 1 Donny Arifian 2 Yohanes Paulo 3 Affandi Putra Utomo 4. Darul Firmansyah 5 Venita Dwi Areza

Received: January 1, 2017 5 International Journal of Intelligent Engineering and Systems, Vol.x, No.x, 20xx DOI: 10.22266/ijies2017.xxxx.xx 3.3 AHP-TOPSIS Modelling The Editorial Employee Election System Evaluation Stages using the AHP-TOPSIS method as follows 4.0 Identificatioon Some Criteria In this study in determining the weighting criteria using the Analytic Hierarchy Process (AHP) approach, then to calculate the ranking step the researcher chooses to use the TOPSIS approach, Based on the stages in the research method, an example of an editorial employee selection case at PT. Media Putra Nusantara with the following calculations: After conducting an interview with the HRD at PT. Media Putra Nusantara, priority was obtained by each of the criteria, among others: a. Work experience has the same importance with editing and writing skills b. The results of interviews with managers are as important as the psychotic results c. Work experience and abilities are quite important to compare with the results of medical tests d. Work experience and editing and writing skills are more important than the results of psychological tests. Sample employee data used is data of prospective editorial employee candidates in the East Java region. Used as alternative data for determining the employees selected to be editorial employees can be examined in table 4 (Data on considered employees) Table 4. List of alternative values Candidate Employee Experience Skill the psychotic results The results of interview Doni Arieffian 5 4 3 4 Yohanes Paulo 3 4 5 4 Affandi Putra Utomo 3 4 4 5 Darul Firmansyah 4 5 4 3 Venita Dwi Areza 4 4 3 4 4.1 Determining Criteria of Weight (AHP) 1. Create and calculate the value of a paired comparison matrix To determine the weight value of the criteria by calculating the value of the paired comparison matrix, then compare the priorities of each criterion based on the current table. So that we obtain the criteria for weighting values as follows: Table 5 Pairwise Comparison Matrix Kriteria Experience Skill the psychotic results The results of interview Experience 1 2 2 3 Skill 0.5 1 3 5 the psychotic results 0.5 0.33 1 3 The results of interview 0.33 0.2 0.25 1 Jumlah 2.33 3.53 6.25 12.00 2. The weight values of each criterion are calculated, by process value of the paired comparison matrix is divided by the total number of columns on each criterion, then add up each row. After that, the sum of results is divided by the number of criteria so that the priority weight is found. The results are shown in Table 6Identification some criteria Determining Criteria of Weight (AHP) Calculate Ranking of the value of Alternative decisions (TOPSIS

Received: January 1, 2017 6 International Journal of Intelligent Engineering and Systems, Vol.x, No.x, 20xx DOI: 10.22266/ijies2017.xxxx.xx Table 6. Kriteria Pengalaman Skill Hasil Psikotest Hasil Wawancara Jumlah Bobot A1 0.43 0.57 0.32 0.25 1.57 0.39 A2 0.21 0.28 0.48 0.42 1.39 0.35 A3 0.21 0.09 0.16 0.25 0.72 0.18 A4 0.14 0.06 0.04 0.08 0.32 0.08 Total 1 1 1 1 4.000 1 3. Calculate the expectation value, by multiplying the value of each criterion in the paired comparison matrix table with the weight value then summing each of the criteria 4. Create a calculation of the consistency ratio value. The consistency ratio is said to be consistent if the consistency ratio value (CR) 0.1 then the pairwise comparison matrix needs improvement. The following is the process of calculating the CR criteria 5. Create Calculate the eigenvalue (!max) to get the value of consistency of criteria assessment by summing the product of the multiplication between the weight of the criteria and the value of the comparison matrix !max?!””#$”” !””#$%””&’#(!””#””$ !max=4.229 tabel 7 CI= !!””#!!!!!=!.!!””!!!!! = 0.07 CR= !””!”” = 0.07/0.9 = 0.08 Based on the results of the ratio consistency calculation, the value of CR

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