DIMAS, WIRANDA (2022) ANALISIS PENGARUH ADMINISTRATOR PELABUHAN, LAPANGAN PENUMPUKAN, DAN PERALATAN BONGKAR MUAT TERHADAP PRODUKTIVITAS BONGKAR MUAT (Studi Kasus pada Terminal Peti Kemas Pelabuhan Tanjung Emas Semarang). SKRIPSI.
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Abstract
Productivity of loading and unloading is the quotient between the number of workers and performance. Loading and unloading means the transfer of cargo from and onto ships to be stockpiled into or directly transported to the place of the owner of the goods by going through the port dock using loading and unloading complementary tools, as well as an effective stacking field and also the performance of the port administrator's office greatly affects the loading and unloading process. As PT. Pelabuhan Indonesia, the Semarang container terminal, must always pay attention to good and regular loading and unloading productivity. In this study, loading and unloading productivity is influenced by several factors, including port administrators, stacking fields, and loading and unloading equipment. These three factors have an important role in increasing loading and unloading productivity. The population in this study were employees and loading and unloading workers at PT. Pelabuhan Indonesia Semarang container terminal with a research sample of 75 respondents, the variables of this study: the independent variables are port administrators (X1), stacking fields (X2), and loading and unloading equipment (X3). and the dependent variable is Loading and Unloading Productivity (Y). Analysis of the data used in this study is descriptive analysis and quantitative analysis, the data were analyzed using multiple linear regression analysis with the help of (software) Statistical Package For Social Science (SPSS) version.25. The results of the study by partially testing the t-test hypothesis showed that the Port Administrator, Stacking Field, and Unloading Equipment had a positive and significant effect on loading and unloading productivity. Based on the research results, it can be seen that the research model of the multiple linear regression equation is: Y = 0.593 + 0.345X1 + 0.425X2 + 0.193X3 + µ . From the regression equation, it can be seen that the most dominant variable affecting the loading and unloading productivity is the stacking field variable with a regression coefficient of 0.425. And the R2 (R Square) test obtained results of 0.586 or 58.6%. which means that the Productivity of loading and unloading at PT. The Indonesian port of Semarang container terminal is influenced by the variables of the Port Administrator, Stacking Field, and Loading and Unloading Equipment which is 58.6% and other factors that affect the loading and unloading productivity at PT. The Indonesian port of Semarang container terminal is (100% - 58.6%) = 41.4%. So, the remaining 41.4% of other variables that were not proposed in this study. Key words : Productivity of Loading and Unloading, Port Administrators, Stacking Fields, and Loading and Unloading Equipment
| Item Type: | Article |
|---|---|
| Additional Information: | 1819.04.054 |
| Subjects: | Transportasi |
| Divisions: | Program Studi > S1-Transportasi |
| Depositing User: | AMNI Perpustakaan Semarang |
| Date Deposited: | 28 Jul 2022 02:59 |
| Last Modified: | 28 Jul 2022 02:59 |
| URI: | http://repository.unimar-amni.ac.id/id/eprint/4374 |
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