Ryan Rinaldi Hadistio
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Application of The MOORA Method and Rank Order Centroid for Admission Recommendation System Power Programmer Ryan Rinaldi Hadistio; Herman Mawengkang; Muhammad Zarlis
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 1 (2022): January 2022
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (347.057 KB) | DOI: 10.24114/cess.v7i1.29686

Abstract

Riset ini bertujuan untuk menerapkan sistem pendukung keputusan menggunakan kombinasi metode MOORA dengan pembobotan Rank Order Centroid pada penentuan rekomendasi dalam penerimaan tenaga programmer. Kriteria yang dijadikan sebagai parameter dan tolak ukur dalam penilaian penerimaan tenaga programmer pada penelitian ini sebanyak 7 kriteria yang terdiri atas HTML dan CSS (C1), Jquery dan Javascript (C2), PHP (C3), Java (C4), Android (C5), .NET (C6), dan MySQL (C7). Sampel data yang diujikan pada penelitian ini berjumlah 5 alternatif dari data pelamar yang mengajukan diri sebagai tenaga programmer. Pengujian perhitungan yang dilakukan dengan menerapkan metode yang diusulkan memperoleh hasil yaitu dapat memberikan keputusan rekomendasi pelamar yang layak untuk diterima pada posisi tenaga programmer.
Analisis Metode WASPAS dalam Menentukan Pengangkatan Pegawai Kontrak Menjadi Pegawai Tetap Abdul Muis; Akbar Idaman; Handry Eldo; Agung Prabowo; Ryan Rinaldi Hadistio
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 4 No. 1 (2024): April 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v4i1.3034

Abstract

Human Resources (HR) is a valuable asset for every company, and good management greatly affects operational success. PT XYZ faces challenges in the process of appointing contract employees to permanent employees which is currently done manually, causing a slow and less accurate process. This research aims to develop a method that simplifies and accelerates the process using Weight Aggregated Sum Product Assessment (WASPAS) to simplify and speed up the decision-making process in appointing contract employees to become permanent employees at PT. XYZ, so that decisions taken can be faster, more precise and accurate. This method was chosen for its ability to reduce errors and optimize the assessment with various criteria. The results showed that Alternative 9 was ranked first with a Qi value of 0.9685, showing the best performance among other candidates. The implementation of the WASPAS method is expected to help PT XYZ in making faster, more precise, and accurate decisions, thereby increasing efficiency and objectivity in employee hiring, as well as improving the performance and stability of the company's human resources.