Decision Support Systems In The Acceptance Of New Administrative Staff Using The SAW Method
(1) ISB Atma Luhur
(2) ISB Atma Luhur
(3) ISB Atma Luhur
(*) Corresponding Author
Abstract
Abstract— Human resource is one very important factor in an organization or company, both public and private companies. The work success of a company is great has a major influence on the management of human resources (HR) of a company. If human resources are not good enough, it will affect the lack of good sustainability of this part of the company. Therefore, in the HR management of a company is very important, especially in accepting staff the best academic administration so that it can maximize performance. Many companies have difficulty in accepting candidates for academic administration staff accordingly to company desires. for that, a decision support system is needed that can help decision making to facilitate the acceptance of new academic administration staff. For that reason, researchers are very want to help top management in making the best decisions in recruiting new staff. This study uses the SAW (Simple Additive Weighting) method using the existing criteria determined by the company, namely administrative requirements, written tests, computer literacy, communication, and work experience. The results of the study are the value of calculating employee selection using the Simple Additive Weighting (SAW) method. to be able to help make decisions quickly, precisely, and accurately.
Keywords
Full Text:
PDFReferences
S. Y. Chou, Y. H. Chang, and C. Y. Shen, “A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes,” Eur. J. Oper. Res., vol. 189, no. 1, pp. 132–145, 2008, doi: 10.1016/j.ejor.2007.05.006.
T. Y. Chen, “Comparative analysis of SAW and TOPSIS based on interval-valued fuzzy sets: Discussions on score functions and weight constraints,” 2012, doi: 10.1016/j.eswa.2011.08.065.
W. Abrams et al., “Delineation of groundwater potential (GWP) in the northern United Arab Emirates and Oman using geospatial technologies in conjunction with Simple Additive Weight (SAW), Analytical Hierarchy Process (AHP), and Probabilistic Frequency Ratio (PFR) techniques,” J. Arid Environ., 2018, doi: 10.1016/j.jaridenv.2018.05.005.
M. Brandl and K. Kellner, “Position estimation of RFID based sensors using passive SAW compressive receivers,” 2014, doi: 10.1016/j.proeng.2014.11.415.
G. Büyüközkan and M. Güler, "Smartwatch evaluation with integrated hesitant fuzzy linguistic SAW-ARAS technique," Meas. J. Int. Meas. Confed., 2020, doi: 10.1016/j.measurement.2019.107353.
O. Rizan, “Penerapan Metode SAW ( Simple Additive Weighting ) dalam Pemilihan Dosen Favorit Berbasis Web,” pp. 8–9, 2018.
S. S. Sundari and Y. F. Taufik, “Pegawai Baru Dengan Menggunakan Metode Simple Additive Weighting ( Saw ),” Sisfotenika, vol. Vol. 4, No, pp. 140–151, 2014.
A. Rikki, M. Marbun, and J. R. Siregar, “Sistem Pendukung Keputusan Penerimaan Karyawan Dengan Metode SAW Pada PT. Karya Sahata Medan,” J. Informatics Pelita Nusant., vol. 1, no. 1, pp. 38–46, 2016.
Y. Djamain, “Sistem Pendukung Keputusan Penerimaan Pegawai Baru Pt.Pln (Persero) Kantor Pusat Dengan Menggunakan Metode Simple Additive Weighting (Saw),” J. Tek. Inform., vol. 8, no. 1, pp. 39–47, 2015, doi: 10.15408/jti.v8i1.1935.
F. Saraswati and Y. Fitrian, “BTM AMANAH BANGUNREJO MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING ( SAW ),” pp. 211–219.
D. Pibriana, “Penggunaan Metode Simple Additive Weighting (SAW) dalam Pengambilan Keputusan Rekrutmen Karyawan Pada PT. ABC,” Techno.Com, vol. 19, no. 1, pp. 45–55, 2020, doi: 10.33633/tc.v19i1.2771.
Hamidah, O. Rizan, D. Wahyuningsih, H. A. Pradana, and S. Ramadella, “SAW Method in Supporting the Process of Admission of New Junior High School Students,” 2020 8th Int. Conf. Cyber IT Serv. Manag. CITSM 2020, 2020, doi: 10.1109/CITSM50537.2020.9268874.
Hamidah and O. Rizan, “Pemilihan Calon Ketua Badan Eksekutif Mahasiswa Dengan Menerapkan FMADM (Fuzzy Multiple Attribute Decision Making),” Telematika, vol. 10, no. 1, pp. 75–90, 2017, [Online]. Available: http://ejournal.amikompurwokerto.ac.id/index.php/telematika/article/view/488.
H. Hengki, O. Rizan, B. Isnanto, H. Hamidah, and ..., “Optimasi Pemilihan Model Pembelajaran Berbasis SCL Menggunakan Saw Method Pada Perguruan Tinggi XYZ,” Jutis (Jurnal Tek. …, vol. 7, no. 1, pp. 22–28, 2020, [Online]. Available: http://ejournal.unis.ac.id/index.php/jutis/article/view/143.
E. G. Wahyuni and A. T. Anggoro, “Sistem Pendukung Keputusan Penerimaan Pegawai dengan Metode TOPSIS,” Sains Teknol. dan Ind., vol. 14, no. 2, pp. 108–116, 2017, [Online]. Available: http://ejournal.uin-suska.ac.id/index.php/sitekin/article/view/3907/pdf.
DOI: https://doi.org/10.32736/sisfokom.v10i2.1104
Refbacks
- There are currently no refbacks.
Indexed By:
