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All Journal Jurnal Komtika (Komputasi dan Informatika) Jurnal Ilmiah Sistem Informasi Jurnal Komtika (Komputasi dan Informatika)
Kemala Sari Siregar, Guna Yanti
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Other

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PENILAIAN PENENTUAN KARYAWAN TERBAIK MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Kemala Sari Siregar, Guna Yanti; Wulandari, Ika Arthalia
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (216.091 KB) | DOI: 10.31603/komtika.v4i1.3603

Abstract

Competition in service quality between companies requires companies to make improvements and improve the quality of Human Resources continuously. BPR Inti Dana Sentosa always strives to improve internal quality on a regular and ongoing basis by evaluating the human resources involved in the production process. HR assessment is still done by a manual method so that the process becomes very slow, and the results obtained are not accurate, even it seems subjective. While objectivity is needed to support the right decision to employ useful human resources for an extended period. This study aims to assist BPR Inti Dana Sentosa in deciding on employee assessment results by implementing the Simple Additive Weighting method. Based on nine processed employee sample data, it founded that the employee with the code 'Employee 2' was the best employee candidate. This result proves that the SAW method can help the decision-making process in the problem of determining the best employee of a company.
Sistem Pendukung Keputusan Untuk Penilaian Kinerja Pegawai Menggunakan Metode Analytical Hierarchy Process (Ahp) Pada CV Tadika Karya Teduh Kota Metro Kemala Sari Siregar, Guna Yanti; Widodo, Suyud
Jurnal Ilmiah Sistem Informasi (JISI) Vol. 1 No. 1 (2022): MARET
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jisi.v1i1.1948

Abstract

Maju mundurnya sebuah Organisasi/Perusahaan/Badan usaha sangan berpengaruh cukup besar pada sumber daya manusia (SDM) yang bekerja di dalamnya. Kualitas sumber daya manusia merupakan salah satu faktor untuk meningkatkan produktivitas kinerja suatu instansi. Oleh karena itu, suatu instansi perlu melakukan penilaian kinerja pegawai untuk mengetahui keberhasilan atau ketidakberhasilan dalam melaksanakan tugasnya. Permasalahan yang terjadi di CV Tadika Karya Teduh yaitu proses penilaian yang dilakukan masih menggunakan cara manual sehingga proses penilaian kinerja pegawai menjadi lambat dan tidak akurat. Dalam penilaian kinerja pegawai masih bersifat subjektif. Belum adanya program aplikasi dalam mendukung pengambilan keputusan dan pihak rumah sakit kesulitan dalam menentukan prestasi kinerja pegawai. Berdasarkan hal tersebut, penulis merancang sistem pendukung keputusan penilaian kinerja pegawai menggunakan Analitycal Hierarchy Process (AHP) di RSUD Serang. Metode Analitycal Hierarchy Process (AHP) adalah suatu model pengambilan keputusan yang komprehensif dan terstruktur. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu memberikan hasil perhitungan secara otomatis sesuai dengan hasil perhitungan yang dilakukan secara manual. Diharapkan dengan sistem yang dirancang dapat membantu pengambil keputusan yang bersifat objektif dan pada proses penilaian kinerja pegawai yang lebih efisien
Penilaian Penentuan Karyawan Terbaik Menggunakan Metode Simple Additive Weighting Kemala Sari Siregar, Guna Yanti; Wulandari, Ika Arthalia
Jurnal Komtika (Komputasi dan Informatika) Vol 4 No 1 (2020)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v4i1.3603

Abstract

Competition in service quality between companies requires companies to make improvements and improve the quality of Human Resources continuously. BPR Inti Dana Sentosa always strives to improve internal quality on a regular and ongoing basis by evaluating the human resources involved in the production process. HR assessment is still done by a manual method so that the process becomes very slow, and the results obtained are not accurate, even it seems subjective. While objectivity is needed to support the right decision to employ useful human resources for an extended period. This study aims to assist BPR Inti Dana Sentosa in deciding on employee assessment results by implementing the Simple Additive Weighting method. Based on nine processed employee sample data, it founded that the employee with the code 'Employee 2' was the best employee candidate. This result proves that the SAW method can help the decision-making process in the problem of determining the best employee of a company.
Co-Authors Ika Arthalia Wulandari, Ika Arthalia Suyud Widodo, Suyud