Analisa Waktu Pada Pekerjaan Rangka Atap Baja Perumahan Terhadap Produktivitas Tenaga Kerja

Kurniawan, Beny (2020) Analisa Waktu Pada Pekerjaan Rangka Atap Baja Perumahan Terhadap Produktivitas Tenaga Kerja. Other thesis, Universitas Islam Riau.

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Abstract

Produktivity is one of the fundamental factors that affect the performance of the ability to compete in the construction industry. Lack of attention to worker productivity can hamper the time specified in a project contract. The roof truss construction is a form of construction that functions to support the roof construction that is located on the truss. Function of the roof truss is to accept the load by its own weight, namely the load of truss and lining materials in a vertical direction, then pass it on to the column and foundation. The purpose of this study was to determine the implementation time required in residential steel roof truss work, to determine the most effective time to work on steel roof trusses in housing, and to determine the factors that affect labor productivity. The method used in this research is to use the work sampling method with the productivity rating approach and accompanied by filling out a questionnaire. The productivity rating approach is to record the working time of workers on steel roof truss work using a stopwatch. The time obtained in the field is classified into three types of activities, namely effective time, contribution time and ineffective time and accompanied by filling out a questionnaire to determine the factors that affect the labor productivity. From the results of research that has been done that the time needed to do steel roof truss work is 2 days. From the data analysis that has been done, it can be concluded that the effective working time that can be done on steel roof truss work is on the design work of truss with a time of 0.047 minutes / m2 and a volume of 6.82 m2. Meanwhile, the highest LUR value was found in the installation of horses and battens at 64.28%. From the results of distributing questionnaires, it is found that the factors causing the highest labor productivity are training or courses with a coefficient of 0.930. Meanwhile, the factors causing the lowest labor productivity are work tools and facilities with a coefficient of 0.490.

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