Product Service Research Articles

Customer Segmentation Using the K-means Clustering Algorithm and Recency Frequency Monetary Model at Pharmaceutical Product Wholesaler

PT Kimia Farma Trading and Distribution (KFTD) is a company engaged in the distribution and trading services of Indonesian health products, on a national scale. In 2022, the company aims to increase sales to be awarded as one of the top 3 national pharmaceutical product distributors by 2024. Their current strategy is to provide customers with delayed payment permission and integrated complaint services. However, the offers and services are the same for all customers which does not consider customer track record hence it is not cost-effective. One way to increase sales is by enhancing customer satisfaction and loyalty by implementing Customer Relationship Management (CRM) strategies. Several strategies can be carried out, namely analysis of associations related to pharmaceutical products, and analysis of customer segmentation and clustering of products. The method used in this study was the K-means clustering algorithm combined with the Recency Frequency Monetary (RFM) model. Experiments showed that the optimal clustering results are 4 therefore they are categorized into 4 customer segments, namely Superstar, Golden, Typical, and Occasional Customers.

PENGARUH KUALITAS PRODUK DAN KUALITAS PELAYANAN TERHADAP KEPUTUSAN PEMBELIAN DENGAN KEPUASAN KONSUMEN SEBAGAI VARIABEL INTERVENING (STUDI KASUS DI PT. MANDALA MULTI FINANCE, TBK CABANG LUBUKLINGGAU

The problem in this research is product quality, where there is still a lack of product innovation, product attractiveness, there is still a lack of information on the characteristic features and the impression of the quality of the products being marketed. Then the quality of service, there is still a lack of reliability and responsiveness in serving the wishes of consumers. Purchasing decisions, there is still a lack of conveying information about prices, there is still a lack of strategy in marketing and consumer doubts regarding the accuracy of purchasing decisions. Furthermore, consumer satisfaction, service to consumers has not been maximized, there is still a lack of consumer comments on products, and there is still a lack of attention to products in promoting sales. This research was conducted to determine the effect of product quality and service quality on purchasing decisions with consumer satisfaction as an intervening variable (Case Study at PT. Mandala Multi Finance, Tbk Lubuklinggau Branch). In this study, a four-item variable questionnaire method was used, namely Product Quality (X1), Service Quality (X2), Purchase Decision (Y) and Consumer Satisfaction (I). The data analysis technique used is Multiple Linear Regression Analysis, Coefficient of Determination (R2), and FTest. From the results of the Multiple Regression Analysis, the equation Ŷ = 4.754+0.101 X1+0.823 X2 is obtained. Furthermore, from the analysis, the value of Rsquare (R2) is 0.918 or 91.8%. This value gives the understanding that Product Quality (X1) and Service Quality (X2) contribute 91.8% to the Purchase Decision (Y). While the remaining 8.2% is influenced by other variables that are not included in this study. Based on the results of the Anova calculation (Ftest), it can be seen that the Fcount value is 219.193 with a significant level of 0.000 while Ftable with α = 5% and (n-k-1) or (42-2-1) = 39. And the numerator (k-2 ) is 3.238. Fcount (219.193) > Ftable (3.238), meaning that Ho is rejected and Ha is accepted. This shows that there is a significant influence between Product Quality and Service Quality on Purchasing Decisions.

The Indonesian youth tourist motivation intention to visit Phuket: a post Covid-19 study with the moderating role of health risk using SPSS PROCESS macro (Model 1)

Purpose There are two goals for this study. Firstly, this study aims to understand the impact of various youth tourist motivations, such as Muslim amenities, Islamic product travel, attraction, perceived value and service quality, on the intention to visit Phuket. Secondly, this study aims to determine whether or not young people's perceptions of health risks influence their motivations and decisions to travel to Phuket in the wake of the COVID-19 pandemic. Design/methodology/approach This study used a quantitative methodology, using nonprobability convenience sampling to collect responses from 249 Indonesian youths who intended to visit Phuket after the COVID-19 pandemic. Hayes' (2018) SPSS PROCESS macro (Model 1) was used to test the research model. Findings The findings showed that the intention to travel was significantly affected by factors such as Muslim amenities, Islamic product travel, attraction, perceived value and service quality. Furthermore, the perceived health risk moderated three dimensions of Islamic product travel, perceived value and service quality on intention to visit. Research limitations/implications This study is limited to a sample of Indonesian youth tourists and the impacts of motivation (Muslim amenities, Islamic product travel, attractiveness, perceived value and service quality) and the moderating influence of health risk on the desire to visit Phuket. Originality/value This study sheds insight into the influence of several young tourists' motives on the intention to visit Phuket and the moderating role of perceived health risks. The findings provide essential insights for marketing strategies and the development of the international destination. Specifically, the study suggests developing products with Islamic attributes, emphasising the attraction factor and improving perceived values. The study also provides a model that demonstrates how religious values can affect an individual's decision-making process.

IMPACT OF PRODUCT QUALITY AND SERVICE QUALITY ON CONSUMER SATISFACTION

The rapid growth of food business in Indonesia also leads to increased competition. Restaurants should have the advantage of being able to compete in order to survive and win the competition in this food business. One way that can be used to achieve such excellence is to implement the right quality of service and product quality so as to improve customer satisfaction and create consumer loyalty. This research aims to analyse the impact of service quality and product quality on customer satisfaction and the customer loyalty in restaurants and to know which factors are influential in the restaurant. This research aims to determine the influence of product quality and service quality on consumer satisfaction at Mie Gacoan Kenjeran 2 Surabaya. The research method uses quantitative methods. The data used are primary and secondary data. Data was obtained by distributing questionnaires to a sample of 97 respondents. This research uses a purposive sampling method and the analytical tool used is multiple linear regression with the help of the SPSS 29 program. Partial test results show that product quality has a significant effect on consumer satisfaction, service quality has a significant effect on consumer satisfaction. For the simultaneous test, it shows that product quality and service quality have a significant effect on customer satisfaction. The coefficient of determination value is 0.665, meaning that the regression model obtained is able to explain that product quality and service quality variables can influence consumer satisfaction at Mie Gacoan Kenjeran 2 Surabaya by 66.5%. Meanwhile, the remaining 33.5% is influenced by other variables not explained in this research.

Analisis Kausalitas antara Kualitas Produk, Kualitas Pelayanan, dan Loyalitas Pelanggan di PT. FIFGROUP

In the digital era, FIFGROUP must meet customer expectations with fast service. This study analyzes the impact of service complaints on customer loyalty using Smart PLS and Fishbone Diagram for identifying key factors. The research employs a quantitative design with a survey approach to assess the impact of product and service quality on Spektra customer loyalty at FIFGROUP. Utilizing a sample of 100 respondents from Kranggan Cibubur, the study gathers in-depth data through questionnaires and observations. The research procedure involves a two-way model to analyze variable relationships, validity, reliability, and mediation effects, with Fishbone Diagram for identifying and prioritizing main problem causes at FIFGROUP. Improvement in product quality (coefficient 0.261; T-statistic 2.902) and service (coefficient 0.206; T-statistic 2.070) at Spektra FIFGROUP significantly enhances customer loyalty. Resource optimization and service digitalization are crucial for long-term effectiveness.

Strategies to Increase Customer Loyalty on Brands (Case Study on Nayam Brand on Grabfood)

The use of technology in business is often utilized as a strategy to obtain information related to marketing, sales, and consumer interest. This study aims to analyze the effect of service quality, product quality, relationship marketing, and consumer satisfaction on consumer loyalty of the Nayam brand on the Grabfood platform. Previous research has examined the relationship between these factors, but this study provides a more comprehensive understanding by integrating them in the context of the online food delivery industry. This study utilizes a causal research design to identify causal relationships between variables. Data collection methods include literature studies, field surveys, and questionnaires. The operational variables are service quality, product quality, relationship marketing, customer satisfaction, and customer loyalty. Sampling was conducted using consecutive sampling with a total of 110 respondents in the Jabodetabek area who had ordered Nayam using the Grabfood food delivery service. Data analysis was conducted using PLS-SEM and SWOT analysis. The results showed that customer satisfaction and product quality have an influence on customer loyalty. On the other hand, service quality has an influence on customer satisfaction. Relationship marketing was found to have an indirect positive influence in building relationships between owners and customers. The findings of this study make a practical contribution to business owners by offering a better understanding of how to retain existing customers, increase revenue, improve marketing efficiency, build a good brand reputation, and create a competitive advantage in the market. From a theoretical perspective, this study contributes to the development of a scientific understanding of customer behavior, the factors that influence it, and its impact on business success.

Pengaruh Kualitas Pelayanan Dan Kelengkapan Produk Terhadap Minat Beli Konsumen Pada Toko Pelangi Kosmetik

The Influence of Service Quality and Product Completeness on Consumer Purchase Interest at the Pelangi Cosmetic Store. This research aims to determine the effect of service quality and product completeness on consumer buying interest at Pelangi Kosmetik stores. The data collection procedures for this research are: observation, questionnaires and documentation. The method used in this research is the Quantitative Method using the Multiple Linear Regression method and processed using SPSS 26. This research was conducted at the Pelangi cosmetics shop in Rantepao, with a sample size of 111 respondents. The technique that researchers used in sampling was accidental sampling. The results of calculations using the t test on the service quality variable t count > t table with a value of (20,020) > (2,361) and on the product completeness variable t count > t table with a value of (-10,737) < (2,361). The conclusion of this research is that service quality has a positive influence and has a significant influence on consumer buying interest. Product completeness has a negative influence and has an insignificant influence on consumer buying interest at the Pelangi cosmetics shop in Dirantepao

Quantitative Assessment of Market Conditions and Marketing Strategies in the Financial Products Sector: A Case Study of XX Insurance Company, Beijing

The financial products sector in China has undergone significant transformation, driven by economic reforms, technological advancements, and evolving consumer preferences. This study provides a quantitative assessment of market conditions and marketing strategies within this sector, with a specific focus on XX Insurance Company, Beijing. Utilizing a cross-sectional survey of 200 respondents in Beijing, the research examines key factors influencing market dynamics, evaluates the effectiveness of XX Insurance Company’s marketing strategies, and identifies the main drivers of consumer behavior. The findings reveal a generally favorable market environment, with economic growth, regulatory changes, and competitive dynamics as primary influencers. Notably, product features, competitive pricing, strong brand reputation, and excellent customer service emerged as significant factors affecting consumer decisions. The study highlights the importance of digital presence, customer service, and innovative product offerings in enhancing marketing effectiveness. Based on the insights gained, several recommendations are proposed to optimize the company’s marketing strategies and improve its market positioning. This research contributes valuable knowledge to both the academic community and industry practitioners, offering practical guidance for navigating the competitive landscape of China's insurance market.

Achieving Sustainable Customer Loyalty in the Petrochemical Industry: The Effect of Service Innovation, Product Quality, and Corporate Image with Customer Satisfaction as a Mediator

Amidst the intense competition in the petrochemical industry, the determinants of sustainable customer loyalty remain underexplored. This study investigates the factors influencing corporate sustainable customer loyalty, focusing on service innovation, product quality, and corporate image, with customer satisfaction as a mediating variable. In the context of intense competition, understanding these factors is crucial for sustaining customer relationships and ensuring long-term success. The primary aim is to explore how these elements interact to shape sustainable customer loyalty. Using a cross-sectional survey method, data were collected from 120 corporate clients through structured questionnaires. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the relationships between the variables. The findings reveal that product quality significantly impacts both customer satisfaction and loyalty, highlighting its pivotal role in meeting customer expectations and fostering long-term relationships. While service innovation does not directly affect immediate satisfaction, it significantly enhances sustainable customer loyalty, indicating its importance for long-term engagement. Corporate image also plays a crucial role in strengthening sustainable customer loyalty, underscoring the value of maintaining a positive reputation. The study concludes that customer satisfaction mediates the relationship between product quality and loyalty, emphasizing the cyclical nature of these constructs. This research fills a notable gap in the literature by providing a comprehensive model that integrates these variables within the petrochemical industry context, offering new insights into effective sustainable customer loyalty strategies.

Trust in Business: Evaluating the Effects of Product Quality, Corporate Reputation, and Service Excellence on Customer Trust

Trust in Business: Evaluating the Effects of Product Quality, Corporate Reputation, and Service Excellence on Customer Trust

An Investigation into Tourists' Intentions to Participate in Traditional Chinese Medicine (TCM) Wellness and Rehabilitation Tourism: Insights from In-Depth Interviews at the Luofu Mountain Tourist Area

This study aims to explore the flourishing of TCM (Traditional Chinese Medicine) health and rehabilitation tourism in Chinese tourist attractions and the driving factors behind tourists' participation intentions, with a specific focus on Luofu Mountain. Firstly, by elucidating the background and value of TCM health tourism and the rationale for choosing Luofu Mountain as a case study, the core objective of this research is established: to identify the key factors that drive tourists to engage in this unique tourism experience, providing strategic references for scenic area management and industry upgrades. The research covers a wide range of topics, including tourist demand analysis and tourism product innovation, employing a combination of theoretical construction and empirical research. Multiple methods, such as in-depth interviews and quantitative surveys, are used to gain insights into tourists' motivations and experiences. The article is well-structured, with a highlight on using in-depth interviews to reveal the deep psychological factors influencing tourists' participation intentions and the seamless integration of theory and practice. In the literature review section, this paper systematically discusses the theoretical foundations of TCM health and rehabilitation tourism and the theoretical framework of tourists' participation intentions. It also compares domestic and international research progress to identify research gaps. By comparing Luofu Mountain with international cases, this study assesses its strengths and weaknesses, providing policy insights and improvement suggestions. Methodologically, the paper details a carefully designed sampling strategy and data collection and analysis processes, with particular attention to the data analysis and thematic analysis of in-depth interviews. Based on the case of Luofu Mountain, it reveals the behavioral patterns of tourists participating in TCM health tourism and extracts key strategies for product design and service enhancement. In the policy analysis chapter, the paper deconstructs the effects of current policies on Luofu Mountain, identifies areas for improvement, and proposes a tailored set of policy recommendations. Finally, it summarizes the main research findings, including key factors influencing tourist behavior and optimization measures, while reflecting on the study's limitations and suggesting future research paths.

Comparative Analysis Between Using Google Meet and Gather Town Video Conferencing Platforms Viewed from User Experience Using meCUE Questionnaire on Students

The purpose of this study was to determine the comparative results between using the Google Meet and Gather Town video conferencing platforms in terms of user experience using the meCUE questionnaire on students. This research is quantitative research with descriptive analysis and uses comparative study research methods. The data source of this research is High School in Malang. Sampling was taken randomly without regard to the strata in the population (simple random sampling) so that 4 classes consisting of 35 students were obtained. This research data collection technique adapts from a questionnaire instrument to assess the user experience of a service product such as a website or application. The meCUE questionnaire was created based on the Component model of User Experience (CUE) compiled by Thuering & Mahlke. The results of the data obtained through the meCUE questionnaire on the Google Meet and Gather Town video conferencing platform applications will be analysed so as to obtain results that can show the comparison of the two applications. The meCUE questionnaire provides automatic calculations using Microsoft Excel. Based on this research, it can be concluded as follows: (1) The Gather Town application has a better User Experience assessment than the Google Meet application. The overall indicator results on the Gather Town application show an average value of 4.6 where the value is higher than the Google Meet application with an average value of 3.3, (2) There is a difference between using the Google Meet and Gather Town video conferencing platforms in terms of User Experience using the meCUE Questionnaire for students (Sig. = 0.000 <0.05), (3) Google Meet and Gather Town platforms have their respective weaknesses and advantages that can be used alternately according to the learning method used by the teacher. The results of this study can be used as a reference in choosing video conferencing applications to be more effective and optimal in the learning process.

After-sales service and brand reputation: a case of kitchen appliance industry

PurposeTo build long-term relationships and gain a competitive edge, marketers need to provide customers with unique and distinct experiences that they cannot find in other companies. According to the literature, after-sales service helps to achieve these goals. By modeling the linkages between after-sales service, service quality, customer attitude and purchase intention, this study aims to understand how customers perceive after-sales service in decision-making in kitchen appliance industry.Design/methodology/approachThrough purposive sampling, 324 respondents, primarily female, answered a structured questionnaire about their perception of after-sales service for kitchen appliance products. Previously well-established, validated scale measures from the extant literature were used. The responses were gathered using a seven-point Likert scale.FindingsAccording to the findings, after-sales service quality is vital in kitchen appliance buying decisions. Accordingly, the higher the quality of service perceived by the customer, the more favorable the brand's attitude and purchase intention will be. Additionally, brand reputation was found to be an essential moderator between customer attitude and purchase intention, suggesting that the reputation of the kitchen appliance brand plays a positive and significant role in consumers’ purchase intentions.Originality/valueIt is well known that after-sales service plays a crucial role in current business scenarios, but empirical research on kitchen appliances has been scarce. This study aims to fill a void in the existing literature by investigating the relationships between after-sales service, after-sales service quality, customer attitude and purchase intention in the domain of kitchen appliances.

AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems

AbstractSmart Product–Service Systems (S-PSS) represent an innovative business model that integrates intelligent products with advanced digital capabilities and corresponding e-services. The user experience (UX) within an S-PSS is heavily influenced by the customization of services and customer empowerment. However, conventional UX analysis primarily focuses on the design stage and may not adequately respond to the evolving user needs during the usage stage and how to exploit the data surrounding the use of S-PSS. To overcome these limitations, this article introduces a practical framework for developing Adaptive User Interfaces within S-PSS. This framework integrates ontologies and Context-aware recommendation systems, with user interactions serving as the primary data source, facilitating the development of adaptive user interfaces. One of the main contributions of this work lies on the integration of various components to achieve the creation of Adaptive User Interfaces for digital services. A case study of a smart device app is presented, to demonstrate the practical implementation of the framework, with a hands-on development approach, considering technological aspects and utilizing appropriate tools. The results of the evaluation of the recommendation engine show that using a context-aware approach improves the precision of recommendations. Furthermore, pragmatic aspects of UX, such as usefulness and system efficiency, are evaluated with participants with an overall positive impact on the use of the smart device.

Structural change and employment growth in India: reinterpreting “Manufacturing as an Engine of Growth”

PurposeThe present paper aims to highlight how manufacturing expansions under conditions of increasing returns, which involve the growth of intermediate goods specializations, support advanced service employment. In addition, the increasing use of manufacturing products in services highlights additional, new service sector employment opportunities.Design/methodology/approachThis paper investigates (1) the manufacturing and service interactions and (2) the investment behaviour in manufacturing using Auto-Regressive Distributed lags (ARDL) and Vector Autoregressive (VAR) models. The models allow for different specifications to study whether investment behaviour in manufacturing supports dynamic manufacturing and service interactions.FindingsThe results underpin how Kaldorian manufacturing as an engine of growth is still relevant in Indian growth and is key to achieving higher advanced employment, export-orientation and services and manufacturing nexus outcomes. What matters, though, is that manufacturing investments are to be guided mainly by intermediate goods specializations. The slowdown of these specializations, explaining the slowdown of manufacturing investment, is therefore, a concern.Originality/valueA reinterpretation of manufacturing as an engine of growth in which primacy is given to investment behaviour in technical progress functions that can support the growth of specializations in manufacturing and such specialized service employment.

User Requirement Identification and Dynamic Analysis Based on Improved Kano Model

The widespread adoption of e-commerce has rendered online reviews an indispensable source for acquiring knowledge about product features. The Kano model serves as a classic framework for categorizing customer requirements. It was proposed by the Japanese scholar Noriaki Kano in 1984 as a tool primarily used to help businesses better understand and categorize customer needs, guiding product development and service quality improvement. However, existing research on mining online review information often relies predominantly on static analysis, lacking comprehensive categorization of user demands. To address this gap, this paper introduces an enhanced Kano model for the identification and dynamic analysis of user demands. This model classifies review data based on emotional polarity and user attention, leveraging the characteristics inherent in online reviews. Furthermore, it constructs a user demand evolution model using time series analysis and utilizes SnowNLP for emotional calculations. By conducting word frequency statistics and employing LDA models to analyze product features, this paper identifies the evolving trends in user demands. Additionally, the exponential smoothing method is used to forecast the trend in users’ emotional values towards the product. The findings demonstrate that this model effectively extracts valuable insights regarding product feature information from user reviews, thereby offering novel perspectives and methodologies for related fields. Consequently, this contributes significantly to advancing the identification and dynamic analysis of user demands.

PENGARUH KERAGAMAN PRODUK, KUALITAS LAYANAN DAN HARGA TERHADAP LOYALITAS PELANGGAN DENGAN KEPUASAN PELANGGAN SEBAGAI VARIABEL INTERVENING PADA APOTEK ANGGREK KPRI RSUD SITUBONDO

The purpose of this study is to determine the effect of product diversity, service quality and price on customer loyalty with customer satisfaction as an intervening variable at Anggrek KPRI Pharmacy, Situbondo Regional Hospital. The sampling technique is determined by quota sampling. Data analysis and hypothesis testing in this study used the Structural-Partial Least Square Equation Model (PLS-SEM). The results of the direct influence hypothesis test using the Smart PLS 3.0 application, show that Product diversity has a negative but insignificant effect on Customer Satisfaction, Service quality has a significant positive effect on Customer Satisfaction, Price has a significant positive effect on Customer Satisfaction, Product diversity has a positive but insignificant effect on Customer Loyalty, Service quality has a negative but insignificant effect on Customer Loyalty, Price has a positive but insignificant effect on Customer Loyalty, Customer satisfaction has a significant positive effect on Customer Loyalty, Product diversity has a negative but insignificant effect on Customer Loyalty through Customer Satisfaction, Service quality has a positive but insignificant effect on Customer Loyalty through Customer Satisfaction, Price has a significant positive effect on Customer Loyalty through Customer Satisfaction.

The Influence of Car Rental Product Quality, Prices, and Complaint Handling System on Decisions to Use Car Rental Services at Botana Transport Rent Car & Tour Travel

The aim of this research is to determine the influence of product service quality, price, rental car complaint handling system on the decision to use car rental services at Botana Transport Rent Cars & Tours travel. This research was conducted at Botana Transport Rent Cars & Tours travel located on Jl. Raya Kemang, Cilegon City. The sample in this study consisted of 100 respondents using Accidental Sampling. The data analysis used is multiple linear regression. The results of the research are that product quality and the complaint handling system have a positive influence, while price has a negative influence on the decision to use a rental car at Botana Transport Rent. Cars & Tours travel. Simultaneously or at the same time, product quality, price and car rental handling system at Botana Transport Rent Cars & Tours travel. Meanwhile, the R Square value explains the decision to use car rental services at Botana Transport Rent Cars & Tours Travel is influenced by product quality, price and complaint handling system by 44.2% while the remaining 55.8% is influenced by other variables not used in this research.

MEMBANGUN LOYALITAS PELANGGAN MELALUI KELENGKAPAN PRODUK, PERSEPSI HARGA DAN KUALITAS PELAYANAN PADA TB. MURAH REJEKI SEMARANG

Customer loyalty is a condition where customers make consistent repeat purchases and have a positive attitude towards a brand, are committed to the brand and intend to continue purchasing in the future. The aim is to determine and analyze the influence of product completeness, price perception and service quality on customer loyalty at TB. Cheap Fortune Semarang. The population is unknown number of consumers or customers of the Semarang "Cheap Rejeki" building shop. The sample size was calculated using the Cochran formula, resulting in a sample of 97 customers. Non-probability sampling technique using incidental sampling method. Data was collected using a questionnaire whose validity and reliability had been tested using data analysis techniques using multiple regression via the SPSS application. The results of the calculations that have been carried out, the t-value for product completeness is 3.849 > t-table 1.985 and the significance level is 0.000, indicating that product completeness has a significant effect on customer loyalty, then the calculated t-value for price perception is 3.960 > t-table 1.985 and the significance level is 0.000, indicating that price perception has a significant effect on customer loyalty and the calculated t value of service quality is 4.495 > t-table 1.985 and the significance level is 0.000, indicating that the Service Quality variable has a significant effect on customer loyalty. Suggestions for TB Murah Rejeki are to be able to manage the completeness of the products provided to suit customer shopping expectations because this is a key element in competition among building stores because good product completeness will attract customers' shopping intentions. Then maintain the prices given to consumers and by providing a customer loyalty program in the form of purchase discounts. Keywords: Product Completeness, Price Perception, Service Quality and Customer Loyalty

PENGARUH KUALITAS PRODUK, KUALITAS PELAYANAN DAN HARGA TERHADAP MINAT BELI ULANG MELALUI KEPUASAN KONSUMEN SEBAGAI VARIABEL INTERVENING PADA UD. CATERING “N” DI SITUBONDO

The business world in the current era is getting tighter, especially in the world of marketing competition, which makes business owners must have a superior strategy in facing competition out there. Business actors are required to have high creativity and innovation in order to attract the attention of consumers in using their services or products. The purpose of this study was to analyze and examine the effect of Product Quality, Service Quality and Price on Repurchase Interest through Consumer Satisfaction as an Intervening Variable at UD. Catering "N" in Situbondo. The target respondents of this research are UD consumers. Catering "N" using the simple random sampling method. Data and hypothesis analysis using the Structural Equation Model-Partial Leas Square (PLS-SEM). The results of the direct effect hypothesis test using the Smart PLS 3.0 application show that product quality has a significant positive effect on customer satisfaction. Service quality has a positive but insignificant effect on customer satisfaction. Price has a significant positive effect on customer satisfaction. Product quality has a significant positive effect on repurchase interest. Service quality has a significant positive effect on repurchase interest. Price has a significant positive effect on repurchase interest. Customer satisfaction has a significant positive effect on repurchase interest. Product quality has a significant positive effect on repurchase intention through customer satisfaction. Service quality has a positive but insignificant effect on repurchase intention through customer satisfaction. Price has a significant positive effect on repurchase interest through customer satisfaction.