Factor Influence Of Container Loading And Unloading As Productivity Support On Mirah Terminal

Marzuki, Sumarzen and Aswidaningrum, Rusi and Anam, Choirul and Soedarmanto, Soedarmanto (2021) Factor Influence Of Container Loading And Unloading As Productivity Support On Mirah Terminal. IJEBD International Journal Of Entrepreneurship And Business Development eISSN 2597-4785 pISSN 2597-4750, 4 (3). pp. 273-281.

[img] Text (cek plagiarisme)
Factor Influence of Container Loading and Unloading As Productivity Support on Mirah Terminal.pdf - Draft Version

Download (1MB)
[img] Text (Factor Influence of Container Loading and Unloading As Productivity Support on Mirah Terminal)
Factor Influence of Container Loading an Unloading as Productivity Support on Mirah Terminal Peti Kemas.pdf - Draft Version

Download (478kB)
[img] Text
receipt_Factor Influence of Container Loading and Unloading As Productivity Support on Mirah Terminal.pdf

Download (259kB)
[img] Text (Reviewer Factor Influence Of Container Loading And Unloading As Productivity Support On Mirah Terminal)
peer review actor Influence Of Container Loading And Unloading As Productivity Support On Mirah Terminal-1-4.pdf - Draft Version

Download (240kB)

Abstract

Purpose: This study aims to obtain a quantitative model that can be used to determine the factors that have a significant impact on loading and unloading productivity. Design/methodology/approach: The method used to solve the problem is multiple linear regression method and dummy variable. Findings: The number of samples for this analysis were all ships thats belong to PT Meratus Line which docked at the Mirah Terminal in Surabaya for 12 months, starting from January 2019 to December 2019. The response used is realization data in the number of containers per hour. The initial predictors that are thought to have an impact on productivity are operational personnel and loading and unloading workers, loading and unloading equipment readiness, work system, full empty ratio and total container weight. There are 4 steps to analyze the regression model that has been obtained. Simultaneous test (using P-value), individual test (t test), F test (simultaneous test), Glejser heteroscedasticity and heterocedasticity test, multicoreleation test, reliability test and validity test and residual test and the best final model obtained. Practical implications: The conclusion is that the weight and the order of the containers are the factors that most take influence the productivity of both the CY (Container Yard) and the ship. The value of the influence of the significance of determination is 957 or equal to 95.7%, so that means that one independent variable has a significant influence of 19% on the existing dependent variable. Originality/value: This paper is original. Paper type: Research paper.

Item Type: Article
Subjects: H Social Sciences > HC Economic History and Conditions
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
H Social Sciences > HE Transportation and Communications
Depositing User: Diyan Opka Vandisia
Date Deposited: 18 Oct 2021 03:16
Last Modified: 10 Dec 2021 05:50
URI: http://repositori.stiamak.ac.id/id/eprint/225

Actions (login required)

View Item View Item