STUDI PREDIKSI UJI KUAT TEKAN BETON UMUR 28 HARI DENGAN DATA UJI KUAT TEKAN BETON UMUR 1, 7, 14 HARI
PADA MUTU BETON K600 DENGAN MENGGUNAKAN SPSS
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Kewi, Enggeran
Rokhman, Abdul
Rokhman, Abdul
Subject
Teknik Sipil
Datestamp
2019-09-24 04:59:43
Abstract :
Rapid economic improvement led to the development of infrastructure on a large scale. Buildings, roads, bridges, dams, etc. built to support the growing need. In general, these buildings are 70 percent civilian building construction consists of concrete. Each concrete that will be used to stage the concrete compressive strength test at age 1, 7, 14, 21, 28 days. This research will try to find similarities that the concrete compressive strength test data ages 1, 7, and 14 days have been able to estimate the concrete compressive strength test age of 28 days. So the quality of concrete can be caught early. In this study, the data obtained will be grouped and identified in accordance with the order. Once the data is structured correctly then determined the independent variables and the dependent variable. After each of the variables are known then processed by multiple linear regression analysis using SPSS. Output gained from SPSS is an equation which will be useful for estimating concrete compressive strength test results of 28 days. From the results of this will be seen how the relationship between the variables to other variables. Keywords: concrete compressive strength test data, independent variables, dependent variables, multiple linear regression, the data predicted results.
Rapid economic improvement led to the development of infrastructure on a large scale. Buildings, roads, bridges, dams, etc. built to support the growing need. In general, these buildings are 70 percent civilian building construction consists of concrete. Each concrete that will be used to stage the concrete compressive strength test at age 1, 7, 14, 21, 28 days. This research will try to find similarities that the concrete compressive strength test data ages 1, 7, and 14 days have been able to estimate the concrete compressive strength test age of 28 days. So the quality of concrete can be caught early. In this study, the data obtained will be grouped and identified in accordance with the order. Once the data is structured correctly then determined the independent variables and the dependent variable. After each of the variables are known then processed by multiple linear regression analysis using SPSS. Output gained from SPSS is an equation which will be useful for estimating concrete compressive strength test results of 28 days. From the results of this will be seen how the relationship between the variables to other variables. Keywords: concrete compressive strength test data, independent variables, dependent variables, multiple linear regression, the data predicted results.
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