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ANALISA PRODUKTIVITAS DAN FAKTOR YANG MEMPENGARUHI KINERJA TUKANG PADA PEKERJAAN PENGECETAN DENGAN METODE PRODUCTIVITY RATING (Studi kasus : Gedung Pasca Sarjana (GKB 4) Universitas Muhammadiyah Malang)

Kelkusa, Fadhilah (2018) ANALISA PRODUKTIVITAS DAN FAKTOR YANG MEMPENGARUHI KINERJA TUKANG PADA PEKERJAAN PENGECETAN DENGAN METODE PRODUCTIVITY RATING (Studi kasus : Gedung Pasca Sarjana (GKB 4) Universitas Muhammadiyah Malang). Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

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Abstract

Labor productivity plays a very important role in the production process supported by the existence of human resource factors that produce goods and services, in determining the success of a construction project and seen from the size of the ability level of individual workers. There are some factors that affect the work performance, they are age, educational background, job composition, and wages. After determining the four factors, the next step is to review the work performance effect on the painting result. The observation lasted for twelve days. The method applied in this study was Productivity Rating. This study aims at finding the level of LUR (Labor Utilization Rate) to achieve the percentage of job efficiency. The LUR itself is functioned to find out the effectivity (productivity) of labor in a certain project. Nevertheless, it is unable to explain its further level. The highest LUR result is 89.59>50% which means quite productive for it is able to increase the labor’s performance. The data collection was then processed by using Ms. Excel and SPSS version 21. The result of moderate linear regression on the wage variable showed 2.380 with SPSS version 21 and the double linear regression found the double determinant coefficient (R2) of 84.1%. The result is due to the fact that the Wages Variable is the most dominant toward beta value which eventually affect the labor’s productivity during painting process.

Item Type: Thesis (Bachelors Degree (S1))
Student ID: 201110340311117
Keywords: Productivity, LUR, Wage Variable, Multiple Linear Regression,Beta Values
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Civil Engineering (22201)
Depositing User: Retno Widiyastuti Ika Wijaya
Date Deposited: 20 Apr 2019 02:12
Last Modified: 20 Apr 2019 02:12
URI : http://eprints.umm.ac.id/id/eprint/45932

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