Penerapan Algoritma Fuzzy Simple Additive Weighting untuk Pemeringkatan Kinerja Pegawai

Yani Parti Astuti; Sheryn Aulia Miyanthi; Egia Rosi Subhiyakto

doi:10.14710/jmasif.13.2.49804

DOI: https://doi.org/10.14710/jmasif.13.2.49804

Penerapan Algoritma Fuzzy Simple Additive Weighting untuk Pemeringkatan Kinerja Pegawai

Yani Parti Astuti, Sheryn Aulia Miyanthi, Egia Rosi Subhiyakto

Program Studi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Dian Nuswantoro, Indonesia

Received: 25 Oct 2022; Revised: 30 Oct 2022; Accepted: 1 Nov 2022; Available online: 8 Oct 2022; Published: 8 Nov 2022.

Editor(s): Sukmawati Endah

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

Citation Format:

Abstract

PDAM Tirta Giri Nata merupakan salah satu cabang perusahaan daerah air minum yang berada di Kota Cirebon. Pengelolaan data kenaikan gaji berkala di PDAM ini dilakukan berdasarkan dari data absensi. Namun proses pengolahan dan pemilahan data menjadi sulit dikarenakan jumlah pegawai yang banyak dan masih menggunakan metode manual. Penelitian ini bertujuan untuk mendapatkan nilai akurasi sistem yang dibangun untuk memudahkan proses pengolahan dan pemilahan data pegawai yang telah memenuhi syarat. Pengelolaan data pegawai dengan menormalisasi data kemudian memasukkan nilai masing-masing kriteria menggunakan metode Fuzzy Simple Additive Weighting, sehingga muncul nilai preferensi yang dapat digunakan untuk pendataan peringkat pegawai yang telah memenuhi syarat. Terdapat beberapa kiriteria yang digunakan yakni presentase absen, kinerja pegawai, golongan, pangkat, dan status. Pegawai dengan kode A1 merupakan pegawai yang mendapatkan nilai preferensi tertinggi, yaitu berada pada angka 1. Sistem telah dibangun dengan menerapkan metode F-SAW dengan tingkat keakuratan sistem yang dibangun sebesar 93,33%.

Fulltext View|Download

Keywords: PDAM; Fuzzy; Simple Additive Weighting; Preferensi

Article Metrics:

Article Info

Section: Research Article

Language : ID

In Vol 13, No 2 (2022): JURNAL MASYARAKAT INFORMATIKA

Recent articles

Pengukuran Ketergunaan dan Pengusulan Perbaikan Website Siaga Corona Kota Semarang Penerapan Algoritma Fuzzy Simple Additive Weighting untuk Pemeringkatan Kinerja Pegawai Infrastruktur High-Available Learning Management System Universitas Menggunakan Least-Connected Load Balancer More recent articles

Most cited articles

Pengenalan Jenis Golongan Darah Menggunakan Jaringan Syaraf Tiruan Perceptron KLASIFIKASI UCAPAN KATA DENGAN SUPPORT VECTOR MACHINE PENYELESAIAN MASALAH JOB SHOP MENGGUNAKAN ALGORITMA GENETIKA OPTICAL CHARACTER RECOGNITION MENGGUNAKAN ALGORITMA TEMPLATE MATCHING CORRELATION ALGORITMA BACK PROPAGATION NEURAL NETWORK UNTUK PENGENALAN POLA KARAKTER HURUF JAWA More cited articles

D. Kurniawan, “Kombinasi Logika Fuzzy Dan Metode Simple Additive Weighted (SAW) Untuk Membantu Merekomendasikan Jurusan Pada Perguruan Tinggi,” J. Tek. Inform. Unis, vol. 7, no. 2, pp. 115–121, 2020, doi: 10.33592/jutis.v7i2.392
B. N. Aini, I. B. K. Widiartha, and R. Afwani, “Implementasi Metode Logika Fuzzy Simple Additive Weighting (Saw) Dalam Pencarian Rumah Kos Terbaik Di Sekitar Universitas Mataram Berbasis Website,” J. Comput. Sci. Informatics Eng., vol. 1, no. 1, p. 41, 2018, doi: 10.29303/jcosine.v1i1.71
W. Verina, Y. Andrian, and I. F. Rahmad, “Penerapan Metode Fuzzy Saw Untuk Penerimaan Pegawai Baru (Studi Kasus : Stmik Potensi Utama),” Sisfotenika, vol. 5, no. 1, pp. 60–70, 2015, [Online]. Available: http://sisfotenika.stmikpontianak.ac.id/index.php/ST/article/view/23
A. Supriyatna and D. Ekaputra, “Metode Fuzzy Simple Additive Weighting ( Saw ) Dalam Pemilihan Ketua Osis,” J. PETIR, vol. 10, no. 1, pp. 71–76, 2017
F. Frieyadie, “Penerapan Metode Simple Additive Weight (Saw) Dalam Sistem Pendukung Keputusan Promosi Kenaikan Jabatan,” J. Pilar Nusa Mandiri, vol. 12, no. 1, pp. 37–45, 2016, doi: 10.33480/pilar.v12i1.257
A. Abdillah, “Sistem Pendukung Keputusan Penerimaan Siswa Baru Dengan Metode Simple Additive Weigthing ( Saw ) Di Sman 1 Cikakak Kab . Sukabumi,” SISMATIK (Seminar Nas. Sist. Inf. dan Manaj. Inform., pp. 124–131, 2021
R. Rachman, “Penerapan Metode Simple Additive Weighting (Saw) Untuk Penilaian Karyawan Pada Kenaikan Jabatan,” J. Tekno Insentif, vol. 12, no. 2, pp. 21–27, 2019, doi: 10.36787/jti.v12i2.71
F. Sembiring, M. T. Fauzi, S. Khalifah, A. K. Khotimah, and Y. Rubiati, “Sistem Pendukung Keputusan Penerima Bantuan Covid 19 menggunakan Metode Simple Additive Weighting (SAW) (Studi Kasus : Desa Sundawenang),” Explor. Sist. Inf. dan Telemat., vol. 11, no. 2, p. 97, 2020, doi: 10.36448/jsit.v11i2.1563
H. Nasution, “Implementasi Logika Fuzzy pada Sistem Kecerdasan Buatan,” ELKHA J. Tek. Elektro, vol. 4, no. 2, pp. 4–8, 2020, [Online]. Available: https://jurnal.untan.ac.id/index.php/Elkha/article/view/512%0Ahttp://download.garuda.kemdikbud.go.id/article.php?article=1559615&val=2337&title=Implementasi Logika Fuzzy pada Sistem Kecerdasan Buatan
S. Komariyah, R. M. Yunus, and S. F. Rodiansyah, “Logika Fuzzy Dalam Sistem Pengambilan Keputusan Penerimaan Beasiswa,” Proceeding Stima 2.0, p. 62, 2016
M. D. Irawan and H. Herviana, “Implementasi Logika Fuzzy Dalam Menentukan Jurusan Bagi Siswa Baru Sekolah Menengah Kejuruan (Smk) Negeri 1 Air Putih,” J. Teknol. Inf., vol. 2, no. 2, p. 129, 2019, doi: 10.36294/jurti.v2i2.427
I. Anggraeni, “Analisis Perbandingan Metode SAW Dan Weight Product pada Pemilihan Calon Ketua Badan Eksekutif Mahasiswa (BEM) Universitas Pakuan,” J. Komput. Terap., vol. 3, no. 2, pp. 203–212, 2017, [Online]. Available: http://jurnal.pcr.ac.id
A. P. Manullang, A. Prahutama, and R. Santoso, “Penerapan Metode Simple Additive Weighting (Saw) Dan Weighted Product (Wp) Dalam Sistem Penunjang Pemilihan Laptop Terfavorit Menggunakan Gui Matlab,” J. Gaussian, vol. 7, no. 1, pp. 11–22, 2018, doi: 10.14710/j.gauss.v7i1.26631
S. - and B. Harpad, “Komparasi Metode Simple Additive Weighting (Saw) Dan Analytical Hierarcy Process (Ahp) Untuk Pemilihan Staf Laboratorium Komputer Stmik Widya Cipta Dharma Samarinda,” J. Penelit. Komun. Dan Opini Publik, vol. 22, no. 1, 2018, doi: 10.33299/jpkop.22.1.1322
D. Mulyadi, “Penerapan Metode Fuzzy Simple Additive Weighting (SAW) untuk Menentukan Peningkatan Hasil Belajar Siswa Paling Baik,” Teknois J. Ilm. Teknol. Inf. dan Sains, vol. 11, no. 1, pp. 1–10, 2021, doi: 10.36350/jbs.v11i1.95
A. Sanusi, “Sistem Pendukung Keputusan Dengan Metode Fuzzy SAW Untuk Penilaian Kinerja Dosen Politeknik Harapan Bersama Tegal,” Skripsi, Fak. Ilmu Komput., vol. 1, no. 1, pp. 1–6, 2015

Last update:

No citation recorded.

Last update: 2024-07-18 07:23:33

No citation recorded.

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

The authors who submit the manuscript must understand that the article's copyright belongs to the author(s) if accepted for publication. However, the author(s) grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors should also understand that their article (and any additional files, including data sets, and analysis/computation data) will become publicly available once published under that license. See our copyright policy. By submitting the manuscript to Jmasif, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that:

their article is original, written by the mentioned author(s),
has never been published before,
does not contain statements that violate the law, and
does not violate the rights of others, is subject to copyright held exclusively by the author(s), is free from the rights of third parties, and the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

Copyright and other proprietary rights related to the article, such as patents,
The right to use the substance of the article in its own future works, including lectures and books,
The right to reproduce the article for its own purposes,
The right to archive all versions of the article in any repository, and
The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal (Jurnal Masyarakat Informatika).

Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. Jmasif will not be held responsible for anything arising because of the writer's internal dispute. Jmasif will only communicate with correspondence authors.

Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. Jmasif allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and Jmasif to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.