APLIKASI SISTEM PEREKRUTAN KARYAWAN BERBASIS WEBSITE DENGAN FITUR AUTO RECOMMENDATION DALAM MENINGKATKAN EFESIENSI PROSES PENYELEKSIAN(STUDI KASUS : PTHERBATAMA INDO PERKASA)

FAZA, MUHAMMAD FALDY (2022) APLIKASI SISTEM PEREKRUTAN KARYAWAN BERBASIS WEBSITE DENGAN FITUR AUTO RECOMMENDATION DALAM MENINGKATKAN EFESIENSI PROSES PENYELEKSIAN(STUDI KASUS : PTHERBATAMA INDO PERKASA). S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Employee recruitment is very important for a company because at this stage the company must be very selective in selecting new employees in order to get HR (Human Resources) who are very competent in their fields so that they can support the company's performance well. This research was taken because in the case study sometimes errors still occur in the employee recruitment process, therefore the application can increase the effectiveness of the employee recruitment process and make it easier for HRD, especially in selecting candidate files because there is an auto recommendation feature that serves to provide recommendations to prospective applicants based on with the required criteria. In this study, the application was developed using the waterfall method so that at the initial stage the researcher had to collect the data needed for the development of the application so that during the process of working on the application it was in accordance with the workflow that had been designed and the application was made using the Python programming language and the PostgreSql database. Key words: Employee recruitment, Python, PostgreSql, HR Perekrutan karyawan tergolong sangat penting bagi suatu perusahaan karena pada tahapan ini perusahaan harus sangat selektif dalam memilih calon karyawan barunya guna untuk mendapatkan SDM (Sumber Daya Manusia) yang sangat kompeten pada bidangnya sehingga dapat menunjang kinerja perusahaan dengan baik. Penelitian ini diambil karena dalam studi kasus tersebut terkadang masih terjadi kekeliruan dalam proses perekrutan karyawan oleh karena itu aplikasi tersebut dapat meningkatkan keefektifan proses perekrutan karyawan serta mempermudah HRD khususnya dalam penyeleksian pemberkasan para kandidat dikarenakan terdapat fitur auto recommendation yang berfungsi untuk memberikan rekomendasi para calon pelamar berdasarkan dengan kriteria yang dibutuhkan. Dalam penelitian ini aplikasi tersebut dikembangkan menggunakan metode waterfall sehingga pada tahapan awal peneliti harus mengumpulkan data-data yang diperlukan untuk pengembangan aplikasi tersebut agar pada saat proses pengerjaan aplikasinya sesuai dengan alur kerja yang sudah dirancang dan aplikasi tersebut dibuat menggunakan Bahasa pemrograman Python serta database PostgreSql. Kata kunci: Perekrutan karyawan, Python, PostgreSql, SDM

Item Type: Thesis (S1)
Call Number CD: FIK/INFO. 22 161
NIM/NIDN Creators: 41518010137
Uncontrolled Keywords: Perekrutan karyawan, Python, PostgreSql, SDM
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.5 General Purpose Application Programs/Program Aplikasi dengan Kegunaan Khusus
600 Technology/Teknologi > 650 Management, Public Relations, Business and Auxiliary Service/Manajemen, Hubungan Masyarakat, Bisnis dan Ilmu yang Berkaitan > 658 General Management/Manajemen Umum > 658.3 Personnel Management/Manajemen Personalia, Manajemen Sumber Daya Manusia, Manajemen SDM
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: ADELINA HASNA SETIAWATI
Date Deposited: 05 Nov 2022 04:52
Last Modified: 05 Nov 2022 04:52
URI: http://repository.mercubuana.ac.id/id/eprint/71329

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