Authors :
Toniman Harefa; Rudianto; Freddy J. Rumambi
Volume/Issue :
Volume 9 - 2024, Issue 1 - January
Google Scholar :
http://tinyurl.com/mujpdf7r
Scribd :
http://tinyurl.com/4zbsj94c
DOI :
https://doi.org/10.5281/zenodo.10714949
Abstract :
The aims of research were 1) to describe
logistics performance at PT. DayaGuna Motor Indonesia;
2) To describe operational performance at PT. DayaGuna
Motor Indonesia and 3) to determine the influence of
logistics performance on operational performance at PT.
DayaGuna Motor Indonesia.The research method is a
quantitative research method.The exogenous variable
was logistics performance (X). The endogenous variable
was logistics performance (X). The research population
were employees of PT. DayaGuna Motor Indonesiawere
103 employees. The sampling technique used in this
research was saturated sampling with a sample size of
103 people. The data analysis method wasSEM
(Structural Equation Modelling). The research results
showed that the description of logistics performance at
PT. DayaGuna Motor Indonesia with the average value of
logistics performance shows that logistics performance is
relatively good. This is based on the results of an analysis
of the average value of 3 logistics performance indicators,
namely logistics cost efficiency, logistics performance and
logistics performance time, amounting to 3.25.
Description of operational performance at PT. DayaGuna
Motor Indonesia with the average operational
performance value shows that operational performance is
still relatively good. This is based on the results of an
analysis of the average value of 4 operational
performance indicators, namely cost, quality, flexibility
and delivery, amounting to 3.24. Based on each path
coefficient, logistics performance has a significant effect
on operational performance with a positive relationship
of 0.826. Thus, logistics performance hads a direct effect
on operational performance, which means that if logistics
performance increases, operational performance will
increase and conversely, if logistics performance
decreases, operational performance will decrease.
Keywords :
Management, Performance, Logistics, Operations and Transportation.
The aims of research were 1) to describe
logistics performance at PT. DayaGuna Motor Indonesia;
2) To describe operational performance at PT. DayaGuna
Motor Indonesia and 3) to determine the influence of
logistics performance on operational performance at PT.
DayaGuna Motor Indonesia.The research method is a
quantitative research method.The exogenous variable
was logistics performance (X). The endogenous variable
was logistics performance (X). The research population
were employees of PT. DayaGuna Motor Indonesiawere
103 employees. The sampling technique used in this
research was saturated sampling with a sample size of
103 people. The data analysis method wasSEM
(Structural Equation Modelling). The research results
showed that the description of logistics performance at
PT. DayaGuna Motor Indonesia with the average value of
logistics performance shows that logistics performance is
relatively good. This is based on the results of an analysis
of the average value of 3 logistics performance indicators,
namely logistics cost efficiency, logistics performance and
logistics performance time, amounting to 3.25.
Description of operational performance at PT. DayaGuna
Motor Indonesia with the average operational
performance value shows that operational performance is
still relatively good. This is based on the results of an
analysis of the average value of 4 operational
performance indicators, namely cost, quality, flexibility
and delivery, amounting to 3.24. Based on each path
coefficient, logistics performance has a significant effect
on operational performance with a positive relationship
of 0.826. Thus, logistics performance hads a direct effect
on operational performance, which means that if logistics
performance increases, operational performance will
increase and conversely, if logistics performance
decreases, operational performance will decrease.
Keywords :
Management, Performance, Logistics, Operations and Transportation.
