APPLICATION OF THE SIMPLE ADDITIVE WEIGHTING METHOD IN LABORATORY PRACTICUM ASSISTANT SELECTION PROBLEM
Abstract
Dalam kehidupan selalu dihadapkan pada beberapa pilihan untuk pengambilan keputusan yang tepat. Susahnya untuk menentukan pilihan yang akurat sesuai dengan kriteria yang sudah ditentukan. Permasalahan pengambilan keputusan juga dialami saat seleksi asisten praktikum. Pada Sistem Pendukung Keputusan Seleksi Asisten Praktikum ini, digunakan oleh dua user yaitu Kepala Laboratorium yang merupakan mengelola sistem penseleksian mulai dari membuat pengumuman seleksi, menentukan kriteria dan bobot yang akan digunakan sebagai acuan untuk menentukan asisten, memasukkan nilai tes dari tiap-tiap kriteria serta dapat melihat hasil rekomendasi dari perhitungan menggunakan metode Simple Additive Weighting (SAW). Sedangkan untuk user mahasiswa melakukan pendaftaran dan serta dapat melihat hasil pengumumun seleksi. Dengan adanya Sistem ini dapat membantu Kepala laboratorium untuk mempercepat pengambilan keputusan dalam memilih asisten yang mempunyai potensi pada kriteria yang diprioritaskan. Dengan penerapan metode SAW pada sistem dapat membantu menentukan hasil rekomendasi sesuai dengan rangking.
Downloads
References
[2] I. J. T. Situmeang, S. Hummairoh, S. M. Harahap, and M. Mesran, “Application of SAW (Simple Additive Weighting) for the Selection of Campus Ambassadors,” The IJICS (International Journal of Informatics and Computer Science), vol. 5, no. 1, p. 21, Mar. 2021, doi: 10.30865/ijics.v5i1.2847.
[3] H. Adela, K. A. Jasmi, B. Basiron, M. Huda, and A. Maseleno, “Selection of dancer member using simple additive weighting,” International Journal of Engineering & Technology, vol. 7, no. 3, pp. 1096–1107, 2018, doi: 10.14419/ijet.v7i3.11983.
[4] A. Ahmad and Y. I. Kurniawan, “SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PEGAWAI TERBAIK MENGGUNAKAN SIMPLE ADDITIVE WEIGHTING,” Jurnal Teknik Informatika (Jutif), vol. 1, no. 2, pp. 101–108, Dec. 2020, doi: 10.20884/1.jutif.2020.1.2.14.
[5] A. Afshari, M. Mojahed, and R. M. Yusuff, “Simple Additive Weighting approach to Personnel Selection problem,” nternational Journal of Innovation, Management and Technology, vol. 1, no. 5, pp. 511–515, Dec. 2010, Accessed: Aug. 07, 2023. [Online]. Available: moz-extension://b3de6694-1272-4763-964a-a351aef82bcd/enhanced-reader.html?openApp&pdf=https%3A%2F%2Fciteseerx.ist.psu.edu%2Fdocument%3Frepid%3Drep1%26type%3Dpdf%26doi%3Dbec304ffd086871cdc9dd84cbee6e610da5030d8
[6] F. A. Taylor, A. F. Ketcham, and D. Hoffman, “Personnel evaluation with AHP,” Management Decision, vol. 36, no. 10, pp. 679–685, Dec. 1998, doi: 10.1108/00251749810245336.
[7] R. Islam and S. bin Mohd Rasad, “Employee Performance Evaluation by the AHP: A Case Study,” 2006.
[8] E. G. Wahyuni and A. T. Anggoro, “Sistem Pendukung Keputusan Penerimaan Pegawai dengan Metode TOPSIS,” Jurnal Sains, Teknologi dan Industri, vol. 14, no. 2, pp. 108–116, Jun. 2017, Accessed: Aug. 07, 2023. [Online]. Available: https://ejournal.uin-suska.ac.id/index.php/sitekin/article/view/3907
[9] S. Manurung, “SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU DAN PEGAWAI TERBAIK MENGGUNAKAN METODE MOORA,” Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, vol. 9, no. 1, pp. 701–706, Apr. 2018, doi: 10.24176/simet.v9i1.1967.
[10] S.- Supiyandi, A. P. U. Siahaan, and A. Alfiandi, “Sistem Pendukung Keputusan Pemilihan Pegawai Honorer Kelurahan Babura dengan Metode MFEP,” JURNAL MEDIA INFORMATIKA BUDIDARMA, vol. 4, no. 3, p. 567, Jul. 2020, doi: 10.30865/mib.v4i3.2107.
[11] R. Afshari, M. Nikolic, and D. Cockalo, “Applications of fuzzy decision making for personnel selection problem: A review,” Journal of Engineering Management and Competitiveness, vol. 4, no. 2, pp. 68–77, 2014, doi: 10.5937/jemc1402068a.
[12] A. ‘Azzam and S. Indrawati, “Development of decision support system for employee selection using Adaptive Neuro Fuzzy Inference System,” MATEC Web of Conferences, vol. 154, p. 01077, Feb. 2018, doi: 10.1051/matecconf/201815401077.
[13] Z. Güngör, G. Serhadlioǧlu, and S. E. Kesen, “A fuzzy AHP approach to personnel selection problem,” Applied Soft Computing Journal, vol. 9, no. 2, pp. 641–646, Mar. 2009, doi: 10.1016/j.asoc.2008.09.003.
[14] M. M. I. Rahi, A. K. M. A. Ullah, and D. M. G. R. Alam, “A Decision Support System (DSS) for Interview-Based Personnel Selection Using Fuzzy TOPSIS Method,” in Lecture Notes in Networks and Systems, Springer Science and Business Media Deutschland GmbH, 2022, pp. 645–657. doi: 10.1007/978-981-19-2445-3_45.
[15] Sri Kusumadewi, Sri Hartati, Agus Harjoko, Retantyo Wardoyo, “Fuzzy multi-attribute decision making (fuzzy madm)”, Yogyakarta: Graha Ilmu, 2006.
Copyright (c) 2024 Antivirus : Jurnal Ilmiah Teknik Informatika
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- Author grant the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License
