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SISTEM PENDUKUNG KEPUTUSAN PENILAIAN PEGAWAI MENGGUNAKAN METODE MULTI ATTRIBUTE UTILITY THEORY (MAUT)

Ramadhan, Hanafi Richi (2024) SISTEM PENDUKUNG KEPUTUSAN PENILAIAN PEGAWAI MENGGUNAKAN METODE MULTI ATTRIBUTE UTILITY THEORY (MAUT). Undergraduate thesis, Universitas Stikubank.

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Abstract

Penurunan kualitas sumber daya manusia dalam perusahaan membuat pihak pengelola perusahaan harus melakukan pengurangan jumlah pegawai. Pengurangan ini berdasarkan penilaian pekerjaan yang mengalami penurunan. Hal ini dapat dibantu dengan menggunakan Sistem Pendukung Keputusan (SPK) Menggunakan beberapa metode penelitian yaitu: Objek Penelitian, Metode Pengumpulan Data, Metode Pengembangan Sistem. Tahapan untuk mengidentifikasinya dilakukan perkalian terhadap skala prioritas yang sudah ditentukan, serta skema dalam evaluasi akhir dari suatu objek yang didefinisikan sebagai bobot dijumlahkan dengan suatu nilai yang relevan terhadap nilai dimensinya. Metode MAUT(Multi Attribute Utility Theory) yang diterapkan dalam sistem juga berjalan dengan baik, memberikan keputusan penilaian karyawan terbaik sesuai dengan nilai kriteria yang telah ditentukan. Meskipun demikian, kelebihan sistem seperti kemampuan memberikan keputusan penilaian karyawan terbaik dengan nilai kriteria yang sudah ditentukan, penggunaan yang mudah, dan penerapan metode MAUT dalam pengambilan keputusan memberikan nilai tambah dalam penggunaan sistem ini. Perbaikan terhadap kekurangan yang diidentifikasi, seperti peningkatan keamanan sistem, penyediaan petunjuk penggunaan, penambahan fitur konsep package, dan pengembangan kemampuan akses online, dapat menjadi langkah- langkah penting untuk meningkatkan kualitas dan kegunaan sistem secara keseluruhan. Dengan demikian, evaluasi sistem dan identifikasi kelebihan serta kekurangannya memberikan wawasan yang berharga untuk pengembangan dan perbaikan selanjutnya. The decline in the quality of human resources in the company makes the company's management have to reduce the number of employees. This reduction is based on the assessment of jobs that have decreased. This can be assisted by using the Decision Support System (SPK) using several research methods, namely: Research Objects, Data Collection Methods, System Development Methods. The stage to identify it is multiplied by a predetermined priority scale, as well as a schema in the final evaluation of an object defined as a weight summed up with a value relevant to its dimensional value. The MAUT method applied in the system also runs well, providing the best employee assessment decisions according to the predetermined criteria value. However, the advantages of the system such as the ability to provide the best employee assessment decisions with predetermined criteria values, easy use, and the application of the MAUT method in decision-making provide added value in the use of this system. Improvements to the identified shortcomings, such as improving system security, providing instructions for use, adding package concept features, and developing online access capabilities, can be important steps to improve the overall quality and usability of the system. Thus, the evaluation of the system and the identification of its strengths and weaknesses provide valuable insights for further development and improvement.

Item Type: Thesis (Undergraduate)
Additional Information: SKR.I.05.01.2442 NIM.17.01.53.2024
Uncontrolled Keywords: Sistem, Keputusan, SPK, Metode MAUT System, Decision, SPK, MAUT Method
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty / Institution: Fakultas Teknologi Informasi > Program Studi Teknik Informatika
Depositing User: Teteh Hayati
Date Deposited: 09 Sep 2024 07:03
Last Modified: 09 Sep 2024 07:03
URI: https://eprints.unisbank.ac.id/id/eprint/10178

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