Skripsi

SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENERIMAAN KARYAWAN BARU MENGGUNAKAN AHP DAN TOPSIS

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Penilaian

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There are so many prospective workers with the same educational background, but not necessarily in accordance with the required company position and not necessarily they have the same expertise. To minimize the occurrence of errors, it can be done by making a decision-making system (DSS) to provide these recommendations. In this study, the Analytical Hierarchy Process (AHP) and the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method were used to provide recommendations for prospective new employees. The steps taken are to compare the importance of each criterion weight with the AHP method. Then the ranking stage is carried out using the TOPSIS method to get recommendations for selected employees. The data used in this study is primary data in the form of 70 data on prospective employees from PT Hutama Jaya Perkasa. From the 70 data then selected to be 36 prospective employees based on the order of the highest ranking. Software testing is done by comparing the results of system calculations and the results of company calculations. Based on the test results obtained an accuracy value of 94,4%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307003476	T87029	T870292023	Central Library (REFERENS)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T870292023

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xviii, 98 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

658.4038 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Manajemen Informasi
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

ANUG

Other version/related

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