Penerapan Metode SMART Pada Sistem Pendukung Keputusan Rekrutmen Karyawan Baru

Authors

  • Humisar Hasugian Universitas Budi Luhur, Jakarta Selatan
  • Agus Umar Hamdani Universitas Budi Luhur, Jakarta Selatan
  • Wulandari Wulandari Universitas Budi Luhur, Jakarta Selatan
  • Nofiyani Nofiyani Universitas Budi Luhur, Jakarta Selatan

DOI:

https://doi.org/10.30865/mib.v7i1.5195

Keywords:

Decision Support System, Employee Recruitment, Simple Multi Attribute Rating Technique, SMART

Abstract

At non-bank institutions, the recruitment process of new employees starts with the selection stage of the curriculum vitae, if they meet the requirements then process followed by psychological tests, interviews and programming tests. The determination of employees who are accepted to be hired by the companies is still subject to interviews results without considering other tests, therefor the hired employees are not ready for the work due to lack of technical ability. To overcome this problem, it is proposed to use a simple multi-attribute rating technique method for the processing of employee selection data because this method can process the data quantitatively and qualitatively with various assessments for each criteria and making the decision-making process easier and faster. The research objective is to assist the employee recruitment process using a web-based decision support system application by simple multi attribute rating technique method. The result of this study is in the form of a decision support system application website for recruiting new employees, using the criteria for Psycho-test Results (C1) weighting 20%, Age (C2) weighting 10%, Work Experience (C3) weighting 20%, Interview (C4) weighting 20%, and Mastery of Technical Aspects (C5) weighting of 30%. As for the alternative results of data processing using the above method are Febila Manda Dewi worth 0.666, Dini Apiani worth 0.447, Miqhiyal Noer Sopyani worth 0.890, and Irvan Egiawan worth 0.042, then based on the result it can be concluded that the prospective employee is Miqhiyal Noer Sopyani who got the highest score so he is recommended as the alternative new employee. The results of this study are objective due to the data processing is based on all criteria, so that the selected employees are certain to be ready to work.

References

L. P. Sinambela, Manajemen Sumber Daya Manusia: Membangun Tim Kerja yang Solid untuk Meningkatkan Kinerja. Jakarta: Bumi Aksara, 2017.

M. Tarigan, Rekrutmen dan seleksi karyawan. Bandung: UPI Press, 2020.

Y. E. Windarto, I. P. Windasari, and M. A. M. Arrozi, “Implementasi Simple Multi Attribute Rating Technique Untuk Penentuan Tempat Pembuangan Akhir,†Pengemb. Rekayasa dan Teknol., vol. 15, no. 1, pp. 12–20, 2019.

S. R. Andani, “Metode Simple Multi Attribute rating Technique (SMART) Dalam Menentukan Penerima Dana Bantuan Yayasan AMIK Tunas Bangsa,†J. Sains Komput. Inform., vol. 3, no. 2, pp. 160–166, 2019.

S. Surati, S. Sri, and A. Kusumaningrum, “Metode Simple Multi Attribute Rating Technique Untuk Sistem Pendukung Keputusan Penentuan Penerima Beasiswa,†J. Ilm. Sinus, vol. 20, no. 2, 2022.

Afrisawati, “Sistem Pendukung Keputusan Penerimaan Pegawai Di STIMIK Royal Metode Simple Additive Weighting,†JURTEKSI (Jurnal Teknol. dan Sist. Informasi), vol. V, no. 1, pp. 53–60, 2018.

Y. N. Molo, Y. P. . Kelen, and Y. O. . Rema, “Sistem Pendukung Keputusan Penerimaan Karyawan Baru Dengan Metode Profile Matching Berbasis Website Studi Kasus : PT.NSS Kefamenanu,†J. Tekno Kompak, vol. 16, no. 1, pp. 136–148, 2022.

Fatmawati, F. Handayann, and I. Purnamasari, “Sistem Pendukung Keputusan Perekrutan Karyawan Online Untuk Penerimaan Karyawan Dengan Metode MOORA,†J. Sains Komput. Inform., vol. 4, no. 2, pp. 487–498, 2020.

T. D. Pengestuti, F. T. Anggraeny, and E. P. Mandyartha, “Rancang Bangun Sistem Pendukung Keputusan Penerimaan Karyawan Baru Menggunakan Naive Bayes Classifer (Studi Kasus PT. Sasmito),†J. Inform. dan Sist. Inf., vol. 1, no. 3, pp. 1072–1080, 2020.

A. Sukmaindrayana and A. Yulianeu, “Sistem Pendukung Pengambilan Keputusan Penerimaan Calon Karyawan Dengan Menggunakan Metode Topsis (Studi Kasus : PT. Bank Mandiri Cabang Tasikmalaya),†J. Tek. Inform., vol. 8, no. 1, pp. 29–38, 2020.

J. P. Sari and M. Yusa, “Penentuan Karyawan Terbaik Pada Collection Pt. Panin Bank Menggunakan Metode Smart,†J. Pseudocode, vol. VII, no. 2, pp. 157–164, 2020.

J. Hartono, Metoda Pengumpulan dan Teknik Analisi Data. Yogyakarta: ANDI (Anggota IKAPI), 2018.

N. Agustina and E. Sutinah, “Penerapan Metode MOORA Pada Sistem Pendukung Keputusan Pemilihan Aplikasi Dompet Digital,†InfoTekJar J. Nas. Inform. dan Teknol. Jar., vol. 6, no. 2, pp. 299–304, 2022.

Raynor, Humdiana, E. S. Dasawaty, S. Birowo, B. Wasito, and A. Budi, “Implementasi Metode Smart Berbasis Web Dalam Membuat Sistem Penunjang Keputusan Smartphone Sesuai Kebutuhan Masyarakat Pada Marketplace Tokopedia,†J. Ilm. Hosp., vol. 11, no. 1, pp. 709–718, 2022.

E. W. Fridayanthie, Haryanto, and T. Tsabitah, “Penerapan Metode Prototype Pada Perancangan Sistem Informasi Penggajian Karyawan (Persis Gawan) Berbasis Web,†Paradigma, vol. 23, no. 2, pp. 151–157, 2021.

N. L. A. M. R. Dewi, R. S. Hartati, and Y. Divayana, “Penerapan Metode Prototype dalam Perancangan Sistem Informasi Penerimaan Karyawan Berbasis Website pada Berlian Agency,†Maj. Ilm. Teknol. Inf., vol. 20, no. 1, pp. 147–152, 2021.

Munawar, Analisis Perancangan Sistem Berorientasi Objek Dengan Unified Modeling Language (UML), 2nd ed. Bandung: Informatika, 2018.

A. Aminuddin, “Implementasi Unified Modeling Language (UML) Pada Perancangan Aplikasi Wifitalkie Berbasis TCP/IP,†J. Sist. Inf., vol. 8 no 2, pp. 265 – 275, 2019.

K. Afiifah, Z. F. Azzahra, and A. D. Anggoro, “Analisis Teknik Entity Relationship Diagram dalam Perancangan Database : Sebuah Literature Review,†J. Inform. dan Teknol., vol. 3, no. 1, pp. 8–11, 2022.

Kadarsih and D. Pujianto, Step By Step Belajar Database Mysql Untuk Pemula. Tangerang: Pascal Books, 2022.

B. Sidik, Aplikasi Database Dengan SQLite Dan Php 7. Bandung: Informatika, 2020.

Downloads

Published

2023-01-28

Issue

Vol. 7 No. 1 (2023): Januari 2023

Section

Articles

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. 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 acknowledgment of its initial publication in this journal.
  3. 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 (Refer to The Effect of Open Access).