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All Journal Jurnal Ilmiah Bahasa dan Sastra Indonesian Journal of Urology Jurnal TIMES Jurnal Masharif al-Syariah: Jurnal Ekonomi dan Perbankan Syariah Primanomics : Jurnal Ekonomi & Bisnis Jurnal Agrisistem: Seri Sosek dan Penyuluhan Bulletin of Computer Science Research Jurnal Armada Informatika JEELS (Journal of English Education and Linguistics Studies) Global Accounting : Jurnal Akuntansi EMaBi: Ekonomi Dan Manajemen Bisnis Juara SD : Jurnal Pendidikan dan Pembelajaran Sekolah Dasar Ase Journal
Andy
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health Social Sciences

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Journal : Bulletin of Computer Science Research

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Perancangan Aplikasi Rekomendasi Jenis Kandidat Web Programmer Menggunakan Metode Weighted Aggregated Sum Product Assesment Herman; Didik; Andy
Bulletin of Computer Science Research Vol. 4 No. 2 (2024): Februari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i2.336

Abstract

Thanks to the development of technology in this digital era, web-based software has become popular and widely used in various fields of life. In order to design a good quality web, a reliable web developer is needed to perform tasks according to their respective expertise. Web developers themselves are divided into three types, namely front-end, back-end, and full-stack developers. The problem encountered is the difficulty of recommending the type of web developer candidate by manually calculating and analyzing the candidate's ability. Inaccuracy in the calculation process will affect the results of the assessment in the recommendation. Therefore, this research aims to build an application that can solve the problem of calculating and assessing the type of web developer candidate using the Weighted Aggregated Sum Product Assessment (WASPAS) method. The WASPAS method was chosen because of its ability to combine various assessment criteria and provide more accurate and objective results. The designed application is expected to assist companies in identifying candidates that best suit their needs, reduce errors in the selection process, and increase the efficiency and effectiveness of recruitment. Thus, companies can more easily find the right and high-quality web developers, according to the expertise needed for their projects.
Co-Authors Agustine Yulandari Anastacia Swastika Dharma Gunawan Chandra Daniel Jonathan David David Didik Didik Aryanto Eliana Furmalasari, Yuyun HAMIDAH Herman Hoki, Leony Lasim Muzammil Monica, Della Seren Muhammad Azhar Nafi'an, Muh. Ilman Natriani Syam Nurhidayah Safitri, Ita Pieter Octaviandy, Pieter Pujiarti, Pujiarti Putri Handayani Rahma Razak, Nur Siahaan, Agus Maringan Sigumonrong, Yacobda Hamonangan Surianty Uun Muhaji Vicky Vannes Wijaya, Sherry yulia