Decision Support System for Millennial Generation Softskill Competency Assessment using AHP and Eliminate Promethee Method
DOI:
10.33395/sinkron.v6i1.11057Keywords:
AHP, Millennial Generation, Promethee Elimination, Softskill, Selection.Abstract
The current millennial generation has the soft skills needed to follow the trends and technology of the industrial generation 4.0. It is clear that many Millennials look more energetic and always synergistic with destructive situations and conditions. Industry 4.0 generation makes the business world switch to always using advanced technology in various sectors so that technological progress is felt faster than before, and human power is starting to be replaced by machine power, robotics, and even artificial intelligence. Thus, soft skills for the millennial generation are needed to get job opportunities in conditions where the need for human labour has begun to be eliminated in their work. The purpose of this paper is to assess the soft skills competencies possessed by the millennial generation, who are always involved with technological advances in the very fast business industry world. There are eight soft skills that the millennial generation must possess, namely critical thinking, communication, analyzing, creative and innovation, leadership, adaptation, cooperation and public speaking. The method used to select soft skills competencies for job opportunities for the millennial generation is the Analytic Hierarchical Process (AHP) method in collaboration with the Promethee elimination method. The final result of the decision support for soft-skill competency selection from 23 millennial generations, who passed the selection, was 43% (10 users) with a positive score and 57% (13 users) who experienced selection failure. This failure was due to having a negative score. Thus, the collaboration of the AHP and Promethee Elimination methods can provide optimal results for decision-making support.
Downloads
References
Aan, M., Putera, A., Siahaan, U., Pembangunan, U., & Budi, P. (2017). Best Student Selection Using Extended Promethee II Method. International Journal of Recent Trends in Engineering and Research, 3(8), 21–29. https://doi.org/10.23883/ijrter.2017.3382.sk4cv
Akmaludin, A., & Badrul, M. (2018). Comparison Ranking Aplikasi Animasi Berbasis Pembelajaran dengan Metode Promethee. Jurnal Bina Insani, 5(1), 1–10.
Akmaludin, Cahyadi, C., Kuswanto, H., Rahman, T., Sudradjatand, A., & Panca, E. (2020). Research Article Decision Support For Selection of System Analyst in Industry 4.0 Generation Era Using: MCDM-AHP And Prometee Elimination Methods. 2010.
Arnata, I., & Surjoseputro, S. (2014). Evaluasi Soft Skills Dalam Pembelajaran Mahasiswa Baru Di Fakultas Teknologi Pertanian Universitas Udayana. Jurnal Pendidikan Dan Pembelajaran (JPP), 21(1), 01–09.
Brunelli, M., Critch, A., & Fedrizzi, M. (2013). A note on the proportionality between some consistency indices in the AHP. Applied Mathematics and Computation, 219(14), 7901–7906. https://doi.org/10.1016/j.amc.2013.01.036
Changwong, K., Sukkamart, A., & Sisan, B. (2018). Critical thinking skill development: Analysis of a new learning management model for Thai high schools. Journal of International Studies, 11(2), 37–48. https://doi.org/10.14254/2071-8330.2018/11-2/3
Chybowski, L., Twardochleb, M., & Wiśnicki, B. (2016). Multi-criteria Decision making in Components Importance Analysis applied to a Complex Marine System. Naše More, 63(4), 264–270. https://doi.org/10.17818/NM/2016/4.3
Deshmukh, S. C. (2013). Preference Ranking Organization Method Of Enrichment Evaluation (Promethee). International Journal of Engineering Science Invention, 2(11), 28–34.
Ghazinoory, S., Daneshmand-Mehr, M., & Azadegan, A. (2013). Technology selection: Application of the PROMETHEE in determining preferences - A real case of nanotechnology in Iran. Journal of the Operational Research Society, 64(6), 884–897. https://doi.org/10.1057/jors.2012.45
Ishizaka, A., & Labib, A. (2009). Analytic Hierarchy Process and Expert Choice: Benefits and limitations. OR Insight, 22(4), 201–220. https://doi.org/10.1057/ori.2009.10
Islami, F., & Ferdinand, A. (2012). Analisis Pengaruh Hardskill, Softskill dan Motivasi Terhadap Kinerja Tenaga Penjualan (Studi Pada Tenaga Kerja Penjualan PT. Bumiputera Wilayah Semarang). Diponegoro Journal of Management, 1, 61. http://eprints.undip.ac.id/35849/
Jafar, A., & Wahyuni. (2016). Pengaruh Hard Skill Dan Soft Skill Terhadap Kinerja Pegawai Pada Dinas Pendidikan Provinsi Sulawesi Selatan. Jurnal Ekonomi Dan Bisnis Islam, 2(10), 1–26.
Kamble, S. G., Vadirajacharya, K., & Patil, U. V. (2018). Decision making in distribution system using improved AHP-PROMETHEE method. Proceedings of the International Conference on Computing Methodologies and Communication, ICCMC 2017, 2018-Janua(Iccmc), 279–283. https://doi.org/10.1109/ICCMC.2017.8282691
Lahope, R. R., Worang, F. G., Gunawan, E., & Gunawan, E. (2020). the Importance of Soft Skills Training on Company Performance At Bni Tolitoli Branch Office. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 8(1), 469–479. https://doi.org/10.35794/emba.v8i1.27784
Lie, N. L. C., & Darmasetiawan, N. K. (2017). Pengaruh Soft Skill Terhadap Kesiapan Kerja Menghadapi Masyarakat Ekonomi ASEAN pada Mahasiswa S1 Fakultas Bisnis dan Ekonomika Universitas Surabaya. Jurnal Ilmiah Mahasiswa Universitas Surabaya, 6(2), 1496–1514.
Maity, S. R., & Chakraborty, S. (2015). Tool steel material selection using PROMETHEE II method. International Journal of Advanced Manufacturing Technology, 78(9–12), 1537–1547. https://doi.org/10.1007/s00170-014-6760-0
Mareschal, B., & Smet, Y. De. (2009). Multicriteria decision aided system for ranking industrial zones. IEEE International Conference on Industrial Engineering and Engineering Management, 2, 1646–1649.
Rapitasari, D. (2016). Digital marketing Berbasis Aplikasi Sebagai Strategi Meningkatkan Kepuasaan Pelanggan. Jurnal Cakrawala, 10(2), 107–112. http://www.cakrawalajournal.org/index.php/cakrawala/article/view/36
Rojko, A. (2017). International journal of interactive mobile technologies : iJIM. International Journal of Interactive Mobile Technologies (IJIM), 11(5), 77–90. http://online-journals.org/index.php/i-jim/article/view/7072/4532
Saaty, T. L. (2003). Decision-making with the AHP: Why is the principal eigenvector necessary. European Journal of Operational Research, 145(1), 85–91. https://doi.org/10.1016/S0377-2217(02)00227-8
Sataloff, R. T., Johns, M. M., & Kost, K. M. (2017). Pengaruh Media Sosial Instagram Akun @princessyahrini Terhadap Gaya Hidup Hedonis para followersnya. JOM Fiisip, 4(2), 1–22.
Technologies, M. (2014). Online Journal of Communication and Media Technologies Volume: 4 – Issue: 1 – January - 2014. 185–215.
The, F. O. R., Person, L. A. Y., & Lipovetsky, S. (1936). An Interpretation Of The AHP Eigenvector Solution GfK Custom Research North America 8401 Golden Valley Rd ., Minneapolis , MN 55427 , USA 2 . The AHP solution and its interpretation for the maximum eigenvalue λ yields the principal eigenvector α which ser. International Journal of Analytic Hierarchy Process, 2(2), 158–162.
Vongsavanh, A., & Campbell, B. (2008). The roles and skill sets of systems vs business analysts. ACIS 2008 Proceedings - 19th Australasian Conference on Information Systems, Stevens 2003, 1059–1068.
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2021 Akmaludin Akmaludin, Erene Gernaria Sihombing, Linda Sari Dewi, Rinawati Rinawati , Ester Arisawati
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.