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The Effect of Service Quality, Customer Orientation and Customer Satisfaction on Customer Loyalty Situmeang, Samuel; Sugiyanto, Sugiyanto
International Journal of Economics (IJEC) Vol. 3 No. 2 (2024): July-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijec.v3i2.1134

Abstract

This study aims to examine the effect of service quality, customer orientation on customer satisfaction and customer loyalty on JCO products. This study is motivated by unmentioned customer loyalty, so a study was conducted to find out from the quality of service and customer orientation which will be the most influential variables on customer satisfaction and customer loyalty on JCO products. The population in this study were all consumers at JCO Outlets domiciled in the Jabotabek area, totaling 103 Outlets. While the research sample was taken using a purposive sampling technique, namely customers who had purchased JCO products at least 2 times with a total of 170 respondents. This research is a quantitative study using the Structural Equation Model - Partial Least Square (SEM-PLS) method. The results of the study indicate that customer orientation has a positive effect on service quality, followed by the following hypotheses, namely service quality has a positive effect on customer satisfaction, customer orientation has a positive effect on customer satisfaction, service quality has a positive effect on customer loyalty, but customer orientation does not have a positive effect on customer loyalty, customer satisfaction has a positive effect on customer loyalty, service quality does not mediate customer orientation on customer satisfaction, in contrast to customer satisfaction mediating service quality and customer orientation on customer loyalty. After conducting the study, the author suggests adding other supporting variables, such as product quality, word of mouth promotion, brand trust, price and various other variables that are relevant to the novelty of the study. In the future, JCO is expected to be able to improve service quality and customer orientation in terms of responding to customers with polite language in responding to complaints from customers so that JCO customers will feel happy and become more loyal in buying JCO products.
The Effect of Service Quality, Customer Orientation and Customer Satisfaction on Customer Loyalty Situmeang, Samuel; Sugiyanto, Sugiyanto
International Journal of Economics (IJEC) Vol. 3 No. 2 (2024): July-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijec.v3i2.1134

Abstract

This study aims to examine the effect of service quality, customer orientation on customer satisfaction and customer loyalty on JCO products. This study is motivated by unmentioned customer loyalty, so a study was conducted to find out from the quality of service and customer orientation which will be the most influential variables on customer satisfaction and customer loyalty on JCO products. The population in this study were all consumers at JCO Outlets domiciled in the Jabotabek area, totaling 103 Outlets. While the research sample was taken using a purposive sampling technique, namely customers who had purchased JCO products at least 2 times with a total of 170 respondents. This research is a quantitative study using the Structural Equation Model - Partial Least Square (SEM-PLS) method. The results of the study indicate that customer orientation has a positive effect on service quality, followed by the following hypotheses, namely service quality has a positive effect on customer satisfaction, customer orientation has a positive effect on customer satisfaction, service quality has a positive effect on customer loyalty, but customer orientation does not have a positive effect on customer loyalty, customer satisfaction has a positive effect on customer loyalty, service quality does not mediate customer orientation on customer satisfaction, in contrast to customer satisfaction mediating service quality and customer orientation on customer loyalty. After conducting the study, the author suggests adding other supporting variables, such as product quality, word of mouth promotion, brand trust, price and various other variables that are relevant to the novelty of the study. In the future, JCO is expected to be able to improve service quality and customer orientation in terms of responding to customers with polite language in responding to complaints from customers so that JCO customers will feel happy and become more loyal in buying JCO products.
Transformer and text augmentation for tourism aspect-based sentiment analysis Situmeang, Samuel; Tambunan, Sarah Rosdiana; Jevania, Jevania; Simanjuntak, Mastawila Febryanti; Sinaga, Sandro
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i6.pp4614-4622

Abstract

The 36.98% growth in the quantity of electronic word of mouth (e-WOM) over the past five years presents opportunities for the tourism industry to understand tourists' needs and desires better when analyzed effectively. Aspect-based sentiment analysis (ABSA) is proposed as a solution, as it can identify the sentiment at a more detailed aspect level. Prior research revealed two issues in ABSA: imbalanced datasets and poor performance in representing implicit aspects and opinions. The authors proposed a combination of the bidirectional and auto-regressive transformer (BART) and bidirectional encoder representations from transformers (BERT) models. Leveraging BART capability in modeling context and BERT expertise in modeling text semantics and nuances, the author proposed an ABSA model that combines BART and BERT using the ensemble method. The experimental results reveal that combining these models significantly enhances the performance of the ABSA model, with an F1-score reaching 70%. Furthermore, text augmentation and preprocessing did not bring improvements in ABSA performance.