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Journal : Jurnal Manajemen Transportasi

Faktor Penentu Kepuasan Pengguna Layanan Logistik Di E-Commerce Ridho Bramulya Ikhsan; Ivan Sangkereng
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 8, No 2 (2021): JULI
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v8i2.696

Abstract

Customer satisfaction is a determinant of the sustainability of the logistics service provider when collaborating with e-commerce platforms. Therefore, it is essential to study the factors that determine customer satisfaction when using goods delivery services more deeply. This study aims to determine the effect of logistics services with dimensions consisting of product availability and quality, delivery, information and complaints on electronic customer satisfaction. The population in this study is the e-commerce users who live in Jabodetabek, with a total sample of 386. The sampling technique used was purposive sampling. Measurement of variables using a questionnaire with a 5-point differential semantic scale. PLS-SEM was used to answer the research hypothesis. As a result, all questionnaire items meet the requirements of high validity and reliability. The seven variables analyzed, namely availability, delivery time, shipping costs, delivery reliability, product quality and condition, consumer complaints and return policies, and information quality, have a significant positive effect on electronic customer satisfaction. The quality of information and complaints is the dominant determining factor in shaping electronic customer satisfaction.
Identifikasi Kepuasan Penumpang atas Implementasi Kualitas Layanan Perusahaan Penerbangan Lianna Wijaya; Ridho Bramulya Ikhsan; Hartiwi Prabowo; Rini Kurnia Sari
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 6, No 3 (2019): NOVEMBER
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v6i3.357

Abstract

The purpose of this study to examined the contribution of the dimensions airline service quality to build of passengers satisfaction who using LCC airlines in DKI Jakarta and identified the level satisfaction of passengers who using LCC airlines. The data collection using a questionnaire and distributed to 120 passengers who use LCC airlines in DKI Jakarta. The analysis used multiple linear regression and important-performance matrix analysis. All data is valid, reliable and the best linear unbiased estimator tests is fit. Findings showed that, simultaneously and partially, dimensions of airline service quality had a significant impact on passenger satisfaction who using LCC airlines. The results of the important-performance matrix, there are 6 attributes that require special treatments to create passenger satisfaction and only 3 attributes that are felt satisfied by passengers.
Penerapan Forecasting pada Kebutuhan Bahan Baku “Solven S 602” Aries Aries; Hartiwi Prabowo; Teguh Sriwidadi; Ridho Bramulya Ikhsan
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 6, No 1 (2019): MARET
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v6i1.303

Abstract

The problems in this research are fluctuating market demand conditions, sources of raw materials mostly from overseas so that they have a long order period, specialty raw materials so there are not many suppliers that sell similar raw materials. This study aims to find out how forecasting calculations at PT XYZ when using moving average methods, exponential smoothing, and linear regression. Processing data using Quantitative Method for Windows software (QM for Windows). The results showed that the forecasting of “Solven S 602” raw materials with the moving average method resulted in an average percentage of absolute errors of 3.448%; forecasting with the exponential smoothing method produces an average percentage of absolute errors of 4.951%; forecasting with linear regression method produces an absolute percentage error of 0% on average. The most appropriate forecasting method for PT. XYZ is a linear regression method because the absolute error is the smallest.