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All Journal Research In Management and Accounting (RIMA) Journal of Information System,Graphics, Hospitality and Technology JISO : Journal of Industrial and Systems Optimization Jurnal Pengabdian Masyarakat Manage
Kelvin
Institut Sains Dan Teknologi Terpadu Surabaya
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Transportation Other

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Journal : Research In Management and Accounting (RIMA)

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IMPLEMENTATED HAY METHOD FOR JOB EVALUATION IN COMPANY AT SIDOARJO Kelvin Kelvin; Pram Eliyah Yuliana; Sri Rahayu
Research In Management and Accounting (RIMA) Vol 5, No 1 (2022): June
Publisher : Faculty of Business, Widya Mandala Surabaya Catholic University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33508/rima.v5i1.3729

Abstract

Job evaluation is very important for the employee being assessed and the company. Job evaluation is a method to determine whether the employee has been in the appropriate position and salary. The Hay method is one method that can be used to evaluate current positions. Hay's method has been standardized and tested in various parts of the world. The Hay method requires information about the job structure, job description, and job specifications, which is then given a point to evaluate the position. The Hay method is applied to a company in the Sidoarjo-East Java, Indonesia, to determine what wages are appropriate for workers with the workload they receive while working in this company. The research was conducted at four levels: manager, head of the department, supervisor, and operator (37 positions). Based on data processing using the Hay method, the position that obtained the highest points was the plant manager position of 752 points with a salary range of Rp. 39,000,000 - Rp. 41,000,000, and the lowest points were cleaning raw material warehouses, machines, and silos with salary ranges. Rp. 3,000,000 – Rp. 5,000,000. The greater the responsibility and workload, the greater the points and salary earned.
Co-Authors I Gusti Ayu Sri Deviyanti Pram Eliyah Yuliana Setya Ardhi Sri Rahayu