Penerapan Algoritma Inverted Index menggunakan metode MAUT pada Sistem Pencarian Data dan Penilaian Data Pelamar Kerja Berbasis Web di PT Pelindo

Abstract

The manual recruitment process at PT Pelindo causes the selection process to be slow, increases the workload of the HRD team, and increases the risk of losing qualified candidates due to delays in data processing. To overcome these problems, this study developed a web-based recruitment system by integrating the Inverted Index algorithm for searching application files and the Multi Attribute Utility Theory (MAUT) method for objective candidate assessment. The Inverted Index algorithm was applied to accelerate document searches based on certain keywords, where the system successfully found the applicant's file with application number 2SC2GRDJWI dated November 27, 2025 quickly and accurately. Meanwhile, the MAUT method was used to rank 10 candidates based on five main criteria, namely work experience, educational level, age, theory test scores, and interview scores. The final results showed the four best candidates were accepted, namely Irwan Sihombing (0.69), Ibnu Hasyim (0.58), Suraidi Nirman (0.40), and Farhan Wahyudi (0.25). The application of these two methods has been proven to increase the efficiency of data searches, speed up the selection process, minimize subjectivity in assessments, and help HRD obtain the best candidates in a systematic and measurable manner