Article Per Year (5 Year)
p-Index From 2020 - 2025
3.457
P-Index
This Author published in this journals
All Journal Prosiding SNATIKA Vol 01 (2011) Sinkron : Jurnal dan Penelitian Teknik Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) International Journal of Advances in Data and Information Systems Community Development Journal: Jurnal Pengabdian Masyarakat Brahmana : Jurnal Penerapan Kecerdasan Buatan Journal of Computer Networks, Architecture and High Performance Computing J-SAKTI (Jurnal Sains Komputer dan Informatika) Green Intelligent Systems and Applications Jurnal Sistem Informasi dan Teknologi Informasi
Sholihati, Ira Diana
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Public Health

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

 1 
E-Recruitment Menggunakan Metode Simple Additive Weighting dan Algoritma K-Nearest Neighbor Janubiya, Tasya Khaerani; Andryana, Septi; Sholihati, Ira Diana
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.434

Abstract

Along with the increasing number of PT Midi Utama Indonesia Tbk outlets, the company's human resource needs are also increasing. Therefore, the recruitment of new employees is very important to support the company's operations. In order to select prospective new employees to fill various positions needed by the company. Recruitment of new employees has not been carried out professionally. This is because there is no systematic method to assess the suitability of new employees. The application of a decision support system uses a combination of the Simple Additive Weighting (SAW) method and the K-Nearest Neighbor (K-NN) algorithm. This method determines the weight value and ranking results of each candidate. Then, the company conducts the process of selecting candidate data based on the value closest to the old prospective employee to determine the final classification results. In this case, prospective new employees who qualify as employees are based on predetermined criteria. Then this decision support application is built using the PHP programming language and MySQL database. The conclusion in this study by combining the SAW and K-NN methods in the recruitment process is very helpful because the administrative and assessment processes are carried out online. So that decision makers can make choices quickly and accurately.
Co-Authors Achmad Pratama Rifai Aditya Pratama Agung Triayudi Aldisa, Rima Tamara Armaisya, Dimas Dwi Diniyati, Della Dzahabi Yunas, Rio Al Farahdinna, Frenda Fauziah Fauziah Fauziah, F Glory, Dearisa Gopal Sakarkar Handayani, Endah Tri Esti Heezen, Damy Matheus Hindarto, Djarot Ikhsan, Muhammad Ramadhan Irmawati Irmawati Janubiya, Tasya Khaerani Josaphat Tetuko Sri Sumantyo, Josaphat Tetuko Sri Muhamad Rizki Nadila, Tika Aenun Nurhayati Nurhayati Pamungkasari, Panca Dewi Pratama, Junius Purbantoro, Babag Puspita, Zelvia Ayu Ramadhani, Nursetiaji Ramdhan, Muhammad Yanuar Ratih Titi Komalasari Sari Ningsih Septi Andryana Setiawati, Riska Syirod, Achmad Vivimaryati, Vivimaryati Wahyuddin, Mohammad Iwan Wedha, bayu Yasa