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Journal : Jurnal Agregate

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PRODUKTIVITAS TENAGA KERJA PADA PROYEK PEMBANGUNAN GEDUNG RUSUN POLRES KABUPATEN SERAM BAGIAN TIMUR Parni Tomia; Selly Metekohy; Jeffrey Payung Langi
Journal Agregate Vol. 2 No. 1 (2023): Maret
Publisher : Jurusan Teknik Sipil

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/ja.v2i1.1345

Abstract

This research was conducted to analyze the factors that affect labor productivity in the construction project of the Police flats building in the resort, East Seram Regency. In this study, there are four factors studied, namely management factors, technical factors, human factors and technical factors, which are related to labor productivity. Therefore, the workforce as one of the parties involved in construction projects in the field must be considered, especially the factors that affect labor productivity in the field, it is very important to know in order to increase productivity in construction projects. For this reason, it is very important to maintain labor productivity not to decline. The research was conducted by distributing questionnaires to 30 respondents. The method of data analysis starts from the validity test, reliability test, multiple linear regression analysis to determine the hypothesis test, namely the t test and f test. The data analysis technique used is SPSS software version 26. The results of the T test show that there are three independent variables that significantly influence the dependent variable (labor productivity), namely management variables with t count (2.801) > t table (2.05), technical factors with t count (2.385) > t table (2, 05), human factor with t count (3.705) > t table (2.05). Simultaneously the four independent variables affect the dependent variable where the value of F count (44.956) > F table (2.74). And the most dominant factor seen from the results of the highest beta coefficient value, namely the human factor with a beta value of (40.8%), has a dominant effect on labor productivity.
PENGARUH TENAGA KERJA TERHADAP PRODUKTIVITAS PROYEK PEMBANGUNAN GEDUNG POLIKLINIK FAKULTAS KEDOKTERAN UNIVERSITAS PATTIMURA AMBON Mei Salsabila Assel; Selly Metekohy; Jeffrey Payung Langi
Journal Agregate Vol. 2 No. 2 (2023): September
Publisher : Jurusan Teknik Sipil

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/ja.v2i2.1695

Abstract

A construction project is a series of activities related to the process of building an infrastructure with a predetermined time limit to estimate the time required to complete the project. In project planning, of course, work productivity must be considered. Especially on factors that can affect work productivity such as age factor, education factor and experience factor. The Polyclinic Building Project, Faculty of Medicine, Pattimura University, Ambon, is one of the government projects that costs up to Rp. 1,711,968,000.00-. The method used in this research is validation test, reliability test, F test and T test using the SPSS V16 tool where in this method the data from the questionnaire will be obtained which will then be analyzed with the SPSS V16 tool. The results obtained. Based on the results of data analysis that has been carried out, it is obtained that 1) the experience factor (X1) has a partial effect on labor productivity in the Polyclinic Building Project, Faculty of Medicine, Pattimura University, Ambon, first floor work, Phase I with a sig value of 0.000 < 0, 05. 2) The age factor (X2) has a partial effect on labor productivity in the Polyclinic Building Project, Faculty of Medicine, Pattimura University, Ambon, on the first floor, with a sig value of 0.000 <0.05. and 3) Educational factor (X3) has a partial effect on labor productivity in the Polyclinic Building Project, Faculty of Medicine, Pattimura University, Ambon, on the first floor, with a sig value of 0.000 <0.05.
ANALISIS PRODUKTIVITAS TENAGA KERJA PADA PROYEK PEMBANGUNAN LAUNDRY ZEST HOTEL Latuconsina, Zainab; Metekohy, Selly; Langi, Jeffrey Payung
Journal Agregate Vol. 3 No. 1 (2024): Maret
Publisher : Jurusan Teknik Sipil

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/ja.v3i1.1929

Abstract

In the world of construction services, labor productivity is one of the determining factors for the success of a development project. It measures the success or failure of a construction project in achieving its objectives. One way to increase worker productivity comes from worker attitudes by increasing worker commitment, satisfaction, and responsibility for work. Therefore, in efforts to analyze labor productivity, variables that might influence the level of productivity must be considered. This research was conducted to find out what factors influence labor productivity and to determine the influence of labor characteristic factors on worker productivity. The research was carried out by observing the productivity level of 15 workers and accompanied by filling out a questionnaire. From the data collection results, both productivity data and questionnaires were processed using the SPSS (Statistical Package for Social Science) version 26 computer program. Based on the results of the analysis of factors that influence productivity, including skill diversity (x1). task identity (x2) variable task significance (x3). Based on the results of hypothesis testing, skill diversity has a positive effect on productivity with a positive T count value of 2.630 > 2.160. Task identification has a positive effect on productivity with a calculated T value of 2.435 > 2.160. Task significance hurts work productivity with a calculated T value of -2.384 < -2.160. Based on the R square test, it can be seen that the characteristics of the workforce consisting of the variables skill diversity, task identity, and task significance simultaneously influence productivity with a multiple determination coefficient values of 84%, and the remaining 8.4% is influenced by other variables not included in this research.
ANALISIS PRODUKTIVITAS TENAGA KERJA PADA PROYEK PEMBANGUNAN LAUNDRY ZEST HOTEL Latuconsina, Zainab; Metekohy, Selly; Langi, Jeffrey Payung
Journal Agregate Vol. 3 No. 1 (2024): Maret
Publisher : Jurusan Teknik Sipil

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/ja.v3i1.1929

Abstract

In the world of construction services, labor productivity is one of the determining factors for the success of a development project. It measures the success or failure of a construction project in achieving its objectives. One way to increase worker productivity comes from worker attitudes by increasing worker commitment, satisfaction, and responsibility for work. Therefore, in efforts to analyze labor productivity, variables that might influence the level of productivity must be considered. This research was conducted to find out what factors influence labor productivity and to determine the influence of labor characteristic factors on worker productivity. The research was carried out by observing the productivity level of 15 workers and accompanied by filling out a questionnaire. From the data collection results, both productivity data and questionnaires were processed using the SPSS (Statistical Package for Social Science) version 26 computer program. Based on the results of the analysis of factors that influence productivity, including skill diversity (x1). task identity (x2) variable task significance (x3). Based on the results of hypothesis testing, skill diversity has a positive effect on productivity with a positive T count value of 2.630 > 2.160. Task identification has a positive effect on productivity with a calculated T value of 2.435 > 2.160. Task significance hurts work productivity with a calculated T value of -2.384 < -2.160. Based on the R square test, it can be seen that the characteristics of the workforce consisting of the variables skill diversity, task identity, and task significance simultaneously influence productivity with a multiple determination coefficient values of 84%, and the remaining 8.4% is influenced by other variables not included in this research.