One method that can be done is to make a combination of two methods that can be used to perform a reliable human resource recruitment selection, namely the Analytic Hierarchy Process (AHP) and the Promethee method of elimination. AHP can be used to measure the weights of each necessary criterion and Promethee Elimination can be used to determine the highest selection weights to be prioritized. Both of these methods can be used to conduct a selection process for human resource needs such as system analyst needs.
The working process of the AHP method is to assign ranking weights related to the needs of the criteria used in the selection process (Jones 2018), (Guh, Lou, and Po 2009), while the method of preliminary elimination uses (De. Analytic Hierarchy Process, Multi-criteria, Prometheus Elimination, Selection and Evaluation, Systems Analyst. In this section I will explain various methods that can be used to carry out a selection process on the needs of human resources in the form of system analysts AHP is able to determine the weight of importance between each of the multi-parameter measurements (Brunelli, Critch and Fedrizzi 2013).
To determine the number of comparisons, this can be done by using (1), which will be related to using the arbitrary index value (RI) seen in (Table-1). So that the decision can be determined based on the amount of consistency ratio (CR) mentioned in (2). The decision to be made must reach stage (9) where one is made between the decisions apart from (7) and (8), this means that the decision can be made from a number of alternatives.
This context applies to the selection of systems analysts and finally, it can be proven that there is cooperation between two methods, namely AHP and Promethee elimination, and can be used as a reference in the decision support process at the manager level.
RESULTS ANDDISCUSSION
While (7) and (8) illustrate that one-sided data cannot be taken as a whole conclusion, so one more stage is needed to unify them, namely the quantification of net flow value as a process that can be used to define decision support that can be used through. The value of the matrix preference index element has gone through an elimination process in the comparison phase that has been operated with each weighting scale of each criterion. For each row matrix the preference index is called the outgoing stream (7) and for each column of the matrix the preference index is called the incoming stream (8), both are called Promethee I stages where the decision-making conditions are not perfect to be made, because their conditions each weight is still in a special condition.
For this we need to combine the weights of both by performing an accumulation process between the two weights. Thus, decision support can be used by prioritizing each option, which is a selection process. Conclusion and Recommendations: An optimal system analyst selection process can be performed using a combination of two methods, the Analytical Hierarchy Process and the Promethea Elimination Method.
The results obtained in the collaborative process of the two methods can be used as decision support with the following provisions ranked first from the highest weight of 2.21 for SA08, weight of 0.14 for SA06, weight of 0.5 for SA09, weight of 0, 04 for SA04 and SA12, and a weight of 0.03 for SA07 and SA13, the remaining 15 system analysts that do not gain weight are eliminated. Thus, it can be said that the collaboration of Analytical Hierarchy Process Method and Promethea Elimination Method can be used as a reference as an accurate and optimal decision support selection process.
The elimination step will then sort by the amount of each row and column matrices. This accumulation process is called the union of element matrices, known as net flow (9), this process is known as Promethe II (Mareschal, De Smet and Nemery 2008). Software selection in manufacturing industries using a multi-criteria fuzzy decision-making method, PROMETHEE.” Intelligent Information Management.
Turning briefly to criticisms of the analytic hierarchy process.” International Journal of Analytical Hierarchy Process. On computing the robust ranking of PROMETHEE II: Empirical evidence. IEEE International Conference on Industrial Engineering and Engineering Management 2016-December:1116–20. Multi-criteria decision-making based on the PROMETHEE method.” 2010 International Conference on Computing, Control and Industrial Engineering, CCIE.
The roles and skills of systems vs business analysts.” ACIS 2008 Proceedings - 19th Australasian Conference on Information Systems (Stevens. Evaluation of Energy Saving and Emission Reduction Effect in Thermal Power Plants Based on Entropy Weighting and PROMETHEE Method." Proceedings of the 28th Chinese Control and Decision Conference, CCDC. Opportunities and Challenges in Creating Digital Archives and Preservation: An Overview.” International Journal of Digital Library Services IJODLS | Geetanjali Research Publication.
SURAT TUGAS
111/B.01/PPPM-NM/IX/2020 Tentang
PENELITIAN YANG DIPUBLIKASIKAN DALAM JURNAL ILMIAH Periode September 2020 - Februari 2021
Judul
Decision Support for Selection Of System Analyst in Industry 4.0 Generation Era Using
MCDM-AHP and Promethee Elimination Methods
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34; The Little Ice Age: evidence from a sediment record in Gullmar Fjord, Swedish west coast", Biogeosciences Discussions, 2012. 34; Performance Analysis of the Improved Internal Load Route Protocol for IPv Fourth International Conference on Iningformatics ), 2019. Decision Support for System Analyst Selection in the Age of Industry Generation 4.0 Using: MCDM- AHP and Eliminating Promethee.
Classification methods for sentiment analysis of political figures' electability based on public comments on online news media sites", IOP Conference Series: Materials Science and.
