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Deddy Nurdin
Institut Transportasi dan Logistik Trisakti
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences Transportation

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Studi Penggunaan Dan Penerapan Sistem Elektronik Retribusi Terhadap Pemakai Jasa Terminal Irfan Zakiy Mubaroh; Deddy Nurdin; Aang Gunawan
Jurnal Manajemen Bisnis Transportasi dan Logistik Vol 6, No 1 (2020): Januari
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (367.065 KB) | DOI: 10.54324/j.mbtl.v6i1.439

Abstract

The purpose of this research is to identify and analyse the strengths, weaknesses, opportunities, and threats of specific information system regarding online electronic retribution. Post positivistic qualitative method or qualitative method or interpretive method was used to analyse the data. The population in this research were employees of Transportation Department of Road Terminal Management unit. The sample was the head of operational and road transportation terminal management unit. The data was collected through observation, interview, and literature. SWOT method was used to analyse the data. The result shows that agency’s position is in quadrant I with the condition of SO (Strength – Opportunity) in the e- retribution system with coordinate (0.75;0.40).
KESIAPAN ARMADA TRUK SIAP OPERASI TERHADAP JUMLAH UNIT BARANG DEDDY NURDIN; BAHARI PRADANA
Jurnal Manajemen Bisnis Transportasi dan Logistik Vol 1, No 3 (2015): Mei
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mbtl.v1i3.978

Abstract

PT. Dressage Logistics Indonesia is a company engaged in logistics, especially trucking. Allegedly there is a relationship between the use of Ready Truck Operations with Goods These Units Falkirk. The method of data analysis used a simple linear regression, correlation coefficient analysis, and hypothesis testing (correlation test). Results of analysis and discussion revealed that there is a relationship between the number of trucks ready for operation on the number of units of goods are shown with a simple regression line is: y = - 17705.3 + 65,15X, meaning that when the growing number of trucks ready for operation up 1 (one) units, the number of units of goods having a gain of 65.15 units of goods. The correlation coefficient r = 0.64 means that the relationship variable X (number of trucks ready for operation) and Y (number of units of goods) is strong and positive. Determinant coefficient test figures show 40.96%. Hypothesis test results tcount> t table (2.62> 0.81246), then Ho = rejected and Ha = acceptable, meaning terhadapat significant relationship between the number of trucks ready for operation and the number of units of goods.
Co-Authors Aang Gunawan BAHARI PRADANA Irfan Zakiy Mubaroh