SETIANI, TIRTA AYU (2018) APLIKASI BERBASIS WEB UNTUK SELEKSI CALON PEGAWAI BARU DENGAN METODE ALGORITMA C4.5 (STUDI KASUS PADA PT. XYZ). S1 thesis, Universitas Mercu Buana Bekasi.
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Abstract
ABSTRAKSI Di PT. XYZ, dalam penyeleksian calon pegawai masih dilakukan secara manual yaitu dengan tulis tangan. Sulit bagi staff HRD untuk menyeleksi calon pegawi dengan cepat dan akurat dalam waktu yang singkat. Data pelatihan klasifikasi menggunakan WEKA dengan algoritma C4.5 yaitu pohon keputusan untuk menentukan penerimaan calon pegawai. Penelitian ini menggunakan 40 data pelatihan pegawai, dan data yang diambil sebagai parameter yaitu pengalaman, ipk, umur, dan psikotes. Dalam aplikasi ini, output yang ditampilkan adalah hasil dari prediksi diterima dan tdak diterima dalam penyeleksian pegawai baru. Kata kunci: WEKA, HRD (Human Resource Development), Algoritma C4.5 Pohon Keputusan. ABSTRACT At PT. XYZ, in the selection of prospective employees are still done manually that is by hand w. It is difficult for HRD staff to quickly and accurately select prospective candidates within a short time. Classification training data using WEKA with C4.5 algorithm C4.5 is decision tree to determine acceptance of prospective employee. This study uses 40 employee training data, and the data taken as parameters are experience, ipk, age, and psychotest. In this application, the output shown is the result of the accepted and unaccepted predictions in the selection of new employees. Key word: WEKA, HRD (Human Resource Development), Algorithm C4.5 Decision Tree.
Item Type: | Thesis (S1) |
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Call Number CD: | FIK/INFO 18 015 |
NIM/NIDN Creators: | 41514210002 |
Uncontrolled Keywords: | Kata kunci: WEKA, HRD (Human Resource Development), Algoritma C4.5 Pohon Keputusan. |
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 |
Divisions: | Fakultas Ilmu Komputer > Informatika |
Depositing User: | siti maisyaroh |
Date Deposited: | 11 Aug 2022 04:44 |
Last Modified: | 11 Aug 2022 04:44 |
URI: | http://repository.mercubuana.ac.id/id/eprint/67322 |
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