Implementasi Metode WASPAS Pada Sistem Pendukung Keputusan Penilaian Kinerja Perawat Terbaik
- Arya Yendri Pratama Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
-
Fitriani Muttakin
*
Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru,
Indonesia
- Inggih Permana Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
- Zarnelly Zarnelly Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
- Arif Marsal Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia (*) Corresponding Author
Abstract
Hospitals are health service institutions that provide various services to the community, including inpatient, outpatient and emergency care. Hospitals as health service institutions require optimal nurse performance in providing quality services to patients. At XYZ Hospital, assessments and calculations are still carried out manually, often experiencing difficulties because in carrying out the assessment all the calculation data is carried out one by one, resulting in large errors and taking quite a long time to obtain the decision results and it is difficult to carry out rankings due to frequent assessment forms. scattered. There are 14 criteria for assessing nurse performance, namely loyalty/loyalty, work performance, responsibility, obedience/discipline, honesty, cooperation, communication, knowledge, competency I nurse (PK I), competency II nurse (PK II), competency III nurse (PK III), the presence of hand washing in the room, the quality of the work carried out by the person concerned, and the availability of ready-to-use facilities & infrastructure for the next shift. To obtain accurate performance assessment results, a decision support system was created using the WASPAS method. The WASPAS method is said to be appropriate for selecting the best nurses because it is ranked based on specified criteria values. It is hoped that the research carried out will help obtain effective results. In this research, the results obtained were that the best nurse at XYZ Hospital was the alternative with a score of 50,038 in the name of EET.
Downloads
References
L. R. Saputro, Efektivitas Penggunaan BSI Mobile Bagi Pengusaha di Kabupaten Ponorogo. 2023.
Hakman, Suhadi, and Y. Nani, “Pengaruh Beban Kerja , Stres Kerja , Motivasi Kerja Terhadap Kinerja,” Nurs. Care Heal. Technol. J., vol. 1, no. 2, pp. 47–54, 2021.
M. Manajemen and U. Paramadina, “Pengaruh Kepuasan Pasien dengan Prinsip-Prinsip Syariah pada Rumah Sakit XX,” vol. 5, no. 3, 2024.
S. G. Purwanto, S. P. Jati, and S. A. Nugraheni, “Pengaruh Akreditasi Rumah Sakit Terhadap Budaya Keselamatan Pasien Menggunakan Hospital Survey on Patient Safety Culture (Hsopsc): Systematic Review,” J. Keperawatan, vol. 15, pp. 1947–1960, 2023.
A. Dian Ellina, C. Dwi Skripsia, M. Ida Nashrun S, and H. Fatima, “Implementasi Penilaian Kinerja Berbasis Indikator Mutu Keperawatan Di Rumah Sakit Baptis Kediri,” Cerdika J. Ilm. Indones., vol. 3, no. 1, pp. 31–42, 2023, doi: 10.59141/cerdika.v3i1.508.
S. Amelia, R. Bangun, S. Penilaian, and C. Prianto, “Rancang Bangun Sistem Penilaian Artikel Menggunakan Metode Weighted Product (WP) PT Pos Indonesia (PERSERO) KATA KUNCI Sistem Pengambil Keputusan Weighted Product (WP) Penilaian Artikel CodeIgniter PHP MySQL,” 2019.
M. B. K. Nasution, K. Kusmanto, A. Karim, and S. Esabella, “Sistem Pendukung Keputusan Penilaian Kinerja Ketua Program Studi Menerapkan Metode WASPAS dengan Pembobotan ROC,” Build. Informatics, Technol. Sci., vol. 4, no. 1, pp. 130–136, 2022, doi: 10.47065/bits.v4i1.1619.
M. Handayani, N. Marpaung, and S. Anggraini, “Implementasi Metode Weighted Aggregated Sum Product Assesment (WASPAS) Dalam Pemilihan Karyawan Terbaik Berbasis Sistem Pendukung Keputusan,” Pros. Semin. Nas. Ris. Inf. Sci., vol. 1, no. September, p. 1098, 2019, doi: 10.30645/senaris.v1i0.122.
D. Asdini, M. Khairat, and D. P. Utomo, “Sistem Pendukung Keputusan Penilaian Kinerja Manajer di PT. Pos Indonesia dengan Metode WASPAS,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 1, p. 41, 2022, doi: 10.30865/jurikom.v9i1.3767.
S. Robo, S. Nurhayati, M. R. Widiyantoro, and M. A. Ahmad, “Penerapan Metode WASPAS Untuk Penentuan Penerima Beasiswa,” J. Inf. Syst. Res., vol. 4, no. 4, pp. 1494–1502, 2023, doi: 10.47065/josh.v4i4.3662.
T. Hasanah, B. Aviani, and A. T. Hidayat, “Sistem Pendukung Keputusan Seleksi Pemberian Uang Kuliah Tunggal Menerapkan Metode WASPAS,” vol. 2, no. September, pp. 102–109, 2020, doi: 10.30865/json.v2i1.2482.
D. Anggraini, “Sistem Pendukung Keputusan Pemilihan Marketing Officer Terbaik dengan Metode Weighted Aggregated Sum Product Assesment (WASPAS) (Studi Kasus: Bank BRI Unit Simpang Marendal),” J. Inf. Syst. Res., vol. 2, no. 3, pp. 200–205, 2021.
A. Pradana et al., “Sistem Pendukung Keputusan Dalam Menilai Kinerja Tenaga Pendidikan Terbaik Menggunakan Metode WASPAS,” Komik, vol. 5, no. 1, pp. 168–170, 2021, doi: 10.30865/komik.v5i1.3666.
A. Syifa’, D. Aditama, and I. G. Anugrah, “Sistem Pendukung Keputusan Penerima Beasiswa Bidikmisi Universitas Muhammadiyah Gresik Dengan Metode WASPAS,” J. Nas. Komputasi dan Teknol. Inf., vol. 6, no. 5, pp. 635–644, 2023, doi: 10.32672/jnkti.v6i5.6894.
Y. M. Simbolon, “Sistem Pendukung Keputusan Staf Karyawan Terbaik Pada Rumah Sakit dengan Menggunakan Metode WASPAS,” TIN Terap. Inform. Nusant., vol. 03, no. 06, pp. 246–252, 2023, doi: 10.47065/jussi.v2i4.4603.
U. Rizky Amanda and D. Putro Utomo, “Penerapan Data Mining Algoritma Hash Based Pada Data Pemesanan Buah Impor Cv. Green Uni Fruit,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 5, no. 1, pp. 86–93, 2021, doi: 10.30865/komik.v5i1.3653.
H. A. Septilia, “Sistem pendukung keputusan pemberian dana bantuan menggunakan metode ahp,” vol. 1, no. 2, pp. 34–41, 2020.
S. Bandyopadhyay, Decision Support System: Tools and Techniques (1st ed.), vol. 4, no. 1. 2023.
G. Triyono, “Sistem Pendukung Keputusan Dalam Penilaian Kinerja Karyawan Rumah Sakit Menggunakan Metode Multi Factor Evaluation Process,” vol. 5, no. 2, pp. 454–466, 2024, doi: 10.47065/josyc.v5i2.4778.
F. Rachman and A. F. Daru, “Aplikasi Sistem Pendukung Keputusan Penilaian Karyawan pada PT Ga Tiga Belas Dengan Metode Simple Additive Weighting,” Pengemb. Rekayasa dan Teknol., vol. 17, no. 1, pp. 24–30, 2021, [Online]. Available: http://journals.usm.ac.id/index.php/jprt/index
R. M. Muhammad Fathin , Yopi Hendro Syahputra, “Sistem Pendukung Keputusan Untuk Menentukan Prioritas Pembangunan Infrastruktur di Desa Tobing Jae Kecamatan Sorkam Barat Dengan Metode Weighted Aggregated Sum Product Assessment (WASPAS),” J. Cyber Tech, no. x, pp. 1–15, 2022, [Online]. Available: https://ojs.trigunadharma.ac.id/index.php/jct/article/view/3583%0Ahttps://ojs.trigunadharma.ac.id/index.php/jct/article/download/3583/793
E. Y. Anggraeni, Suyono, and S. Hartati, “Analisis Menentukan Toko Online Terbaik Menggunakan Metode Waspas ( Weight Aggregated Sum Product Assesment ),” J. Cendikia, vol. 22, no. 1, pp. 17–21, 2022.
I. Gultom, S. N. Arief, and D. Saripurna, “Sistem Pendukung Keputusan Pemilihan Racun Hama Terbaik Dengan Metode WASPAS,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 2, no. 2, p. 324, 2023, doi: 10.53513/jursi.v2i2.5628.
B. Anwar, M. Giatman, H. Maksum, and A. H. Nasyuha, “Analisis Metode WASPAS Dalam Pemilihan Pimpinan Perusahaan,” J. Media Inform. Budidarma, vol. 7, no. 1, pp. 138–144, 2023, doi: 10.30865/mib.v7i1.5170.
T. A. Masangin, T. Widiastuti, and B. S. Djahi, “Sistem Pendukung Keputusan Pemilihan Tempat Kos Dengan Metode Weighted Agregated Sum Product Assesment (Waspas) (Studi Kasus Kota Kupang Nusa Tenggara Timur),” Transformasi, vol. 17, no. 2, pp. 13–23, 2021, doi: 10.56357/jt.v17i2.287.
F. Fatmawati, U. Riyanto, J. Rahmadian, and O. Pahlevi, “Sistem Pendukung Keputusan Pemilihan Vendor IT,” Sist. Pendukung Keputusan Pemilihan Vend. IT MenggunakanMetode Perbandingan Eksponensial, vol. 2, no. 2, pp. 90–98, 2022, doi: 10.31943/teknokom.v7i1.199.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Implementasi Metode WASPAS Pada Sistem Pendukung Keputusan Penilaian Kinerja Perawat Terbaik
Pages: 795-803
Copyright (c) 2024 Arya Yendri Pratama, Fitriani Muttakin, Inggih Permana, Zarnelly Zarnelly, Arif Marsal
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- 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.
- 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.
- 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).
