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Journal : Inferensi

Analisis Regresi Logistik Biner pada Pengaruh Harga, Kualitas Pelayanan dan Promosi terhadap Kepuasan Pelanggan dalam Menggunakan Jasa Layanan Grab di Kabupaten Lamongan Ardiana Fatma Dewi; Rahmadian Pratiwi
Inferensi Vol 4, No 2 (2021): Inferensi
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v4i2.8637

Abstract

With the Covid-19 pandemic that has hit Indonesia since March 2020, people tend to choose to stay at home and take advantage of online services, one of which is a startup company called Grab. This product is welcomed by customers in various circles, price, service quality and promotion, including in the marketing strategy, have a very important role in influencing customer satisfaction. Customer loyalty will have a big impact on the company. Therefore it is necessary to carry out an analysis for online transportation service companies to find out the services provided in an effort to increase consumer loyalty. According to the 2020 BPS publication, Lamongan Regency is one of the districts in East Java which has a population of more than 1.5 million people. The large number of residents in an area opens more profit opportunities for companies, especially online services. So a research on binary logistic regression analysis was conducted to determine the satisfaction of Grab customers in Lamongan Regency with the predictor variables used, namely Price, Service Quality and Promotion. Based on the analysis, the variables that have a significant effect on customer satisfaction are Price and Customer Quality. Where the cheap price provided by Grab will affect customer satisfaction 1.475 times greater than the expensive price, and good service quality will affect customer satisfaction 1.450 times greater than poor service, with classification accuracy of 92%.
Analisis Regresi Spline Truncated pada Indeks Pembangunan Manusia (IPM) di Provinsi Jawa Timur tahun 2021 Ardiana Fatma Dewi; Kurnia Ahadiyah
Inferensi Vol 6, No 1 (2023)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v6i1.14107

Abstract

The increase in the achievement of the Human Development Index cannot be separated from the improvement of each of its constituent components. Currently, the components of the HDI also show an increase from year to year. To be able to participate in the development process, of course, Indonesian people are needed who are not only superior in terms of quantity, but also superior in terms of quality. HDI is used as a tool to achieve national goals, so that many things are related between humans and the development around them. This is to find out what factors can affect the HDI in East Java so that the provincial government can pay attention to several programs which can later be used to continue to maintain and improve development so that it can become an achievement for the Province of East Java. One of the analyzes that can be used is modeling, one of which is regression analysis. Nonparametric regression is a regression that is flexible in use because it can find its own data pattern. One of the truncated spline approaches to nonparametric regression can be used to predict the Human Development Index (HDI). HDI and several factors that influence it will be estimated at various knot points to get the best model. In the Spline Truncated nonparametric regression modeling which is applied to HDI data in East Java Province in 2021 several knot points are tried, namely 1 knot point, 2 knot point, and 3 knot point. The results obtained showed that the best model was found in the 3 knots experiment with a minimum GCV value of 5.40 and an R2 value of 89.875%.