The industrial world in the era of generation 4.0 needs personnel related to human resources who can handle crucial problems, especially in terms of data digitalization. The purpose of this paper is to analyze the supporting criteria that can be used as a measure of programmer selection for the needs of the industrial world which can provide optimal decisions and pay attention to the use of multi-criteria that have different quantitative assessments such as criteria related to contradictory times in its application. The problem, in the industrial world, does not only require speed alone but requires professional staff who can transform into digital technology, digitalization technology is needed in terms of the data conversion and transferring process, so a programmer has an important role in changing favorable conditions because it requires a selection process to get the best professional from several programmers. The method that can be used in multi-criteria decision-making analytic hierarchy process (MCDM-AHP) and elimination et choix traduisant la realite (ELECTRE) methods in the concept of elimination. This method is
part of the MCDM, which uses eight criteria in the selection and evaluation process. The results obtained from several selected programmers produce several professionally selected people, and can be used as an optimal benchmark for the programmer selection and evaluation process with a long
preference index stage through the elimination process, this provides evidence that the selection and evaluation process can determine decision making which is optimal for a select number of programmers that only a few have through the aggregate dominant matrices.
Cek Similarity atau Originality Jurnal Internasional
[1] A. Nadeem, B. Abedin, N. Cerpa, and E. Chew, “Editorial: Digital transformation & digital business strategy in electronic commerce - The role of organizational capabilities,” Journal of theoretical and applied electronic commerce research, vol. 13, no. 2, pp. I–VIII, May 2018, doi: 10.4067/S0718-18762018000200101.
[2] N. Verina and J. Titko, “Digital transformation: conceptual framework,” in Proceedings of 6th International Scientific Conference Contemporary Issues in Business, Management and Economics Engineering ‘2019, May 2019, pp. 9–10. doi:10.3846/cibmee.2019.073.
[3] G. Agushi, “Understanding the digital transformation approach – a case of Slovenian enterprises,” Master’s Thesis, University of Ljubljana, Ljubljana, 2019.
[4] M. Velasquez and P. T. Hester, “An Analysis of Multi-Criteria Decision Making Methods,” International Journal of Operations
Research, vol. 10, no. 2, pp. 56–66, 2013.
[5] L. Chybowski, M. Twardochleb, and B. Wiśnicki, “Multi-criteria Decision making in Components Importance Analysis applied to
a Complex Marine System,” Naše more, vol. 63, no. 4, pp. 264–270, Dec. 2016, doi: 10.17818/NM/2016/4.3.
[6] H. Wang, Q. Jian, and X. Xie, “Application of AHP for Liquefaction Risk Assessment of Bulk Mineral Ores during Marine Transportation,” in Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence -
RICAI 2019, 2019, pp. 545–550. doi: 10.1145/3366194.3366291.
[7] F. Dianawati and P. Rebecca, “Analytic Hierarchy Process (AHP) and Goal Programming In Selecting New Rest Area Location in Trans Jawa Highway,” in Proceedings of the 2019 5th International Conference on Industrial and Business Engineering, Sep. 2019, pp. 233–236. doi: 10.1145/3364335.3364393.
[8] L. Oubahman and S. Duleba, “Review of PROMETHEE method in transportation,” Production Engineering Archives, vol. 27, no.
1, pp. 69–74, Mar. 2021, doi: 10.30657/pea.2021.27.9.
[9] H. Bouayad, L. Benabbou, and A. Berrado, “An Analytic Hierarchy Process based approach for Information technology governance framework selection,” in Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications, Oct.
2018, pp. 1–6. doi: 10.1145/3289402.3289515.
[10] I. Ajripour, M. Asadpour, and L. Tabatabaie, “A model for organization performance management applying MCDM and BSC: a case study,” Journal of Applied Research on Industrial Engineering, vol. 6, no. 1, pp. 52–70, 2019.
[11] N. S. Parihar and P. Bhargava, “Multi Attribute Utility Theory (MAUT) Driven New Product Development Using Multi Criteria Decision Making (MCDM),” International Journal of Engineering Trends and Technology, vol. 67, no. 5, pp. 27–30, May 2019, doi: 10.14445/22315381/IJETT-V67I5P205.
[12] X. Wu, Z. Huang, and S. Shen, “Comprehensive Evaluation of Medical Service Ability of TCM Hospitals in 30 Provinces, Autonomous Regions and Municipalities of China in 2017 Based on Entropy Weight TOPSIS Method and RSR Method,” in Proceedings of the 2019 The World Symposium on Software Engineering - WSSE 2019, 2019, pp. 108–112. doi:10.1145/3362125.3362149.
[13] S. A. S. A. Mary and G. Suganya, “Multi-Criteria Decision Making Using ELECTRE,” Circuits and Systems, vol. 07, no. 06, pp.
1008–1020, 2016, doi: 10.4236/cs.2016.76085.
[14] T. L. Saaty, “Decision-making with the AHP: Why is the principal eigenvector necessary,” Eur J Oper Res, vol. 145, no. 1, pp. 85–91, Feb. 2003, doi: 10.1016/S0377-2217(02)00227-8.
[15] A. Setyawan, F. Y. Arini, and I. Akhlis, “Comparative Analysis of Simple Additive Weighting Method and Weighted Product
Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara,” Scientific Journal of
Informatics, vol. 4, no. 1, pp. 34–42, May 2017, doi: 10.15294/sji.v4i1.8458.
[16] S. Bahrami, R. Yaakob, A. Azman, and R. Atan, “An Integrated of Fuzzy Rule Base System and TOPSIS Technique for Multi-Attribute Decision Making,” in Proceedings of the 3rd International Conference on Software Engineering and Information Management, Jan. 2020, pp. 58–62. doi: 10.1145/3378936.3378940.
[17] W. de Keyser and P. Peeters, “A note on the use of PROMETHEE multicriteria methods,” Eur J Oper Res, vol. 89, no. 3, pp. 457–461, Mar. 1996, doi: 10.1016/0377-2217(94)00307-6.
[18] A. P. R. Pinem, “Implementation of Fuzzy ELECTRE for Assessment of Damage Due to Natural Disasters,” in Indoensian “Implementasi Fuzzy ELECTRE Untuk Penilaian Kerusakan Akibat Bencana Alam,” JURNAL SISTEM INFORMASI BISNIS, vol.
7, no. 2, p. 81, Nov. 2017, doi: 10.21456/vol7iss2pp81-87.
[19] P. Kailiponi, “Analyzing evacuation decisions using multi-attribute utility theory (MAUT),” Procedia Eng, vol. 3, pp. 163–174,
2010, doi: 10.1016/j.proeng.2010.07.016.
[20] S.-W. Huang, J. J. H. Liou, H.-H. Chuang, and G.-H. Tzeng, “Using a Modified VIKOR Technique for Evaluating and Improving the National Healthcare System Quality,” Mathematics, vol. 9, no. 12, pp. 1–21, Jun. 2021, doi: 10.3390/math9121349.
[21] S. Opricovic and G.-H. Tzeng, “Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS,” Eur J Oper Res, vol. 156, no. 2, pp. 445–455, Jul. 2004, doi: 10.1016/S0377-2217(03)00020-1.
[22] A. Ishak, Asfriyati, and B. Nainggolan, “Integration of Fuzzy AHP-VIKOR Methods in Multi Criteria Decision Making: Literature
Review,” IOP Conf Ser Mater Sci Eng, vol. 1003, no. 1, p. 012160, Dec. 2020, doi: 10.1088/1757-899X/1003/1/012160.
[23] T. L. Saaty, “Decision making with the analytic hierarchy process,” International Journal of Services Sciences, vol. 1, no. 1, p. 83, 2008, doi: 10.1504/IJSSCI.2008.017590.
[24] P. Andrews, K. Harker, and A. Krahmer, “Applying the Analytic Hierarchy Process to an Institutional Repository Collection,” in
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, May 2018, pp. 37–40. doi: 10.1145/3197026.3197064.
[25] T. L. Saaty, “How to make a decision: The analytic hierarchy process,” Eur J Oper Res, vol. 48, no. 1, pp. 9–26, Sep. 1990, doi:
10.1016/0377-2217(90)90057-I.
[26] K. Mukherjee, “Analytic hierarchy process and technique for order preference by similarity to ideal solution: a bibliometric analysis ‘from’ past, present and future of AHP and TOPSIS,” International Journal of Intelligent Engineering Informatics, vol. 2, no. 2/3,
p. 96, 2014, doi: 10.1504/IJIEI.2014.066210.
[27] L. A. Gumay, B. Purwandari, T. Raharjo, A. Wahyudi, and M. Purwaningsih, “Identifying Critical Success Factors for Information Technology Projects with an Analytic Hierarchy Process,” in Proceedings of the 2020 2nd Asia Pacific Information Technology Conference, Jan. 2020, pp. 108–112. doi: 10.1145/3379310.3379326.
[28] H. Hu, X. Mao, and J. Li, “Study on Multimodal Transportation Route Selection based on a Simplified ELECTRE Approach
considering Environmental Impacts,” in Proceedings of the 2018 1st International Conference on Internet and e-Business, Apr. 2018, pp. 308–312. doi: 10.1145/3230348.3230432.
[29] H. G. Costa and M. B. T. Duarte, “Applying ELECTRE TRI ME for Evaluating the Quality of Services Provided by a Library,” in
Proceedings of the 2019 11th International Conference on Education Technology and Computers, Oct. 2019, pp. 278–281. doi:
10.1145/3369255.3369313.
[30] T. Wang, “The Information Security Risk Assessment Model Based on Improved ELECTRE Method,” in Proceedings of the 2019
7th International Conference on Information Technology: IoT and Smart City, Dec. 2019, pp. 570–574. doi: 10.1145/3377170.3377181.
[31] A. Lin and M. Lu, “The site selection evaluation of photovoltaic applications using analytic hierarchy process in urban areas, China,” in Proceedings of the 8th International Conference on Informatics, Environment, Energy and Applications - IEEA ’19, 2019, pp.
119–123. doi: 10.1145/3323716.3323733.
[32] S. Abadi et al., “Implementation of fuzzy analytical hierarchy process on notebook selection,” International Journal of Engineering & Technology, vol. 7, no. 2.27, pp. 238–243, Aug. 2018, doi: 10.14419/ijet.v7i2.27.12047.