ANALISIS JALUR MODEL TRIMMING UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMPENGARUHI LOYALITAS PELANGGAN DALAM PEMBELIAN OLI YAMALUBE
DOI:
https://doi.org/10.24114/jmk.v5i3.23385Abstract
ABSTRAKModel Trimming adalah model yang digunakan untuk memperbaiki suatu model struktur analisis jalur dengan cara mengeluarkan dari model variabel independen yang koefisien jalurnya tidak signifikan. Tujuan dari penelitian ini adalah untuk mengetahui faktor mana saja yang mempengaruhi loyalitas pelanggan. Dalam penelitian ini variabel yang digunakan adalah target pasar , posisi produk, citra merek, kualitas jasa , sebagai variabel independen terhadap kepuasan pelanggan dan loyalitas pelanggan sebagai variabel dependen. Dari hasil analisis diperoleh persamaan dimana variabel posisi produk yang paling besar mempengaruhi kepuasan pelanggan sebesar dan persamaan dimana variabel posisi produk yang paling besar mempengaruhi loyalitas pelanggan sebesar . Kata Kunci : Target Pasar, Posisi Produk, Citra Merek, Kualitas Jasa, Kepuasan Pelanggan, Loyalitas Pelanggan dan Metode Trimming ABSTRACTTrimming model is a model used to improve a path analysis structure model by removing it from the independent variable model whose path coefficient is not significant. The purpose of this study is to determine which factors affect customer loyalty. In this study, the variables used are target market 〖(X〗 _1), product position (X_2), brand image 〖(X〗 _3), service quality 〖(X〗 _4), as independent variables on customer satisfaction 〖(X〗 _5) and customer loyalty (Y) as the dependent variable. From the analysis results obtained by the equation X_5 = 0.397X_2 + 〖0.328X〗 _4 + 0.8234ε_1 where the product position variable (X_2) has the greatest influence on customer satisfaction by 0.397 and the equation Y = 0.492X_2 + 0.261X_3 + 0.7328ε_2 where the product position variable (X_2) the biggest influence on customer loyalty is 0.492.Keywords: Target Market, Product Position, Brand Image, Service Quality, Customer Satisfaction, Customer Loyalty and Trimming MethodReferences
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