Publication Search

The rapid growth of e-commerce platforms has significantly transformed the way consumers share and access product feedback. One of the widely used platforms in Indonesia is Shopee, where customers actively provide reviews of various products, including local skincare brands such as Kahf facial wash. Customer reviews on e-commerce platforms contain valuable information that can be analyzed to understand consumer opinions and preferences. Sentiment analysis, as a branch of natural language processing, enables the classification of textual data into categories such as positive, negative, or neutral. This study aims to classify Shopee user sentiments regarding Kahf facial wash products by implementing the Multinomial Naïve Bayes algorithm, a well-known probabilistic classifier suitable for text categorization. The research methodology consisted of several preprocessing stages, including data cleansing, case folding, tokenizing, stopword removal, and stemming, to prepare raw review texts for further analysis. For feature representation, the Term Frequency–Inverse Document Frequency (TF-IDF) method was applied to capture the importance of words across documents. To evaluate the classification performance, K-Fold cross-validation was employed with K values of 4, 5, 6, and 10 to ensure model reliability and robustness. Considering the issue of imbalanced datasets in user-generated reviews, the Synthetic Minority Over-sampling Technique (SMOTE) was utilized to balance the distribution of sentiment classes. Based on the confusion matrix, the Multinomial Naïve Bayes algorithm demonstrated effective performance in classifying sentiments, achieving satisfactory levels of accuracy, precision, and recall across different folds. These results indicate that the algorithm is capable of handling sentiment analysis tasks for local product reviews effectively. The findings of this study are expected to provide meaningful insights for businesses in understanding consumer perceptions, thereby supporting decision-making processes in product development, marketing strategies, and customer engagement for local brands.

This study aims to examine the influence of host interaction and flash sale discounts on consumer interest in live shopping on Shopee among the community in Surabaya City. The research employs a quantitative approach using a structured questionnaire as the primary data collection method. A total of 96 respondents, all of whom actively engage in online shopping via Shopee, were selected as the study sample. Data analysis was conducted using SPSS, applying both t-tests and F-tests to evaluate the hypotheses. The t-test results reveal that host interaction significantly affects consumer interest, with a t-count value of 5.252 exceeding the t-table value of 1.986, and a significance level of 0.000, which is below the 0.05 threshold. Similarly, flash sale discounts also demonstrate a significant effect on consumer interest, with a t-count value of 3.217 surpassing the t-table value of 1.986, and a significance level of 0.002, indicating statistical significance. Furthermore, the F-test results indicate that host interaction and flash sale discounts have a simultaneous and significant influence on consumer interest, as evidenced by an F-count value of 26.37 exceeding the F-table value of 3.9434, with a significance level of 0.000. These findings suggest that both host interaction and flash sale discounts play a crucial role in shaping consumer purchasing interest during live shopping events. The results highlight the importance for resellers and online sellers to enhance host engagement skills and strategically implement time-limited discount offers to attract and retain consumers. In the increasingly competitive e-commerce environment, optimizing these two factors may significantly contribute to improving customer engagement and driving sales performance. This research provides practical insights for online retailers seeking to strengthen their marketing strategies on live shopping platforms

The study aims to examine the influence of word of mouth (WOM) and customer relationship management (CRM) on customer loyalty at PT Garuda Sertifikasi Indonesia, with customer delight serving as a mediating variable. This research is motivated by the increasing competition among certification service providers, which requires companies to implement effective strategies to retain and satisfy their customers. The target population in this study encompasses the entire client base of PT Garuda Sertifikasi Indonesia, totaling 429 individuals. The sampling technique used was Hair’s formula, resulting in 70 respondents. Data were collected through questionnaires, interviews, and documentation. A path analysis technique was used to analyze the data to determine direct and indirect effects between variables. The findings indicate that both WOM and CRM positively influence customer loyalty. Effective word-of-mouth strategies help build the company’s reputation and trust, while CRM ensures consistent communication, better service, and long-term customer engagement. The research also found that WOM and CRM positively affect customer delight. Customers who experience exceptional service and personalized attention tend to be more satisfied and emotionally connected to the brand. Furthermore, customer delight was proven to have a significant positive impact on customer loyalty. It also acts as a mediating variable, strengthening the effect of WOM and CRM on loyalty. This means that delighted customers are more likely to remain loyal and advocate for the company. The results of this study emphasize the importance of maintaining strong relationships and exceeding customer expectations in order to build sustainable loyalty. This research contributes valuable insights for service-based companies in enhancing marketing and customer retention strategies.

This study was conducted at Bio Live Healthy Home, located in Sei Bamban District, Serdang Bedagai Regency. The primary objective of this research is to determine how lifestyle, reference groups, and consumer attitudes influence the decision to use services offered by the institution. In a rapidly growing health and wellness industry, understanding consumer behavior is essential to improve service quality and increase customer engagement. To achieve the research objectives, the study employed a survey method with a quantitative approach. The target population consisted of service users, and a sample of 92 respondents was selected. Data collection was carried out through a combination of observation, interviews, documentation, and the distribution of structured questionnaires. The questionnaire was designed to capture variables related to lifestyle, reference groups, attitudes, and service usage decisions. Before conducting the main analysis, the data were tested for validity and reliability to ensure that the instrument accurately measured what it intended to measure. Furthermore, classical assumption tests, including normality, multicollinearity, and heteroscedasticity tests, were conducted to confirm the feasibility of using a multiple linear regression model. The analysis was performed using the Statistical Package for the Social Sciences (SPSS) software. The results of the study revealed that lifestyle, reference groups, and attitudes each had a significant and positive influence on the decision to use services at Bio Live Healthy Home. This indicates that individuals with health-conscious lifestyles, influenced by their social environment and holding positive attitudes toward wellness services, are more likely to engage with the services offered. Moreover, these three factors collectively contributed to a meaningful explanation of the variation in consumer decisions. In conclusion, the findings highlight the importance for service providers to consider psychological and social factors when designing marketing strategies.

This research explores the influence of customer satisfaction on the financial performance of Perumda Tirtanadi, with a particular focus on the digital service system as a moderating factor. The study is driven by the growing urgency for digital innovation in public service sectors, particularly in the wake of the COVID-19 pandemic, which significantly altered customer engagement patterns. A quantitative method is adopted, employing Partial Least Squares–Structural Equation Modeling (PLS-SEM) using the SmartPLS 4 software to process the collected data. The analysis demonstrates that both customer satisfaction and digital services have independent and significant positive effects on financial outcomes. However, the interaction between these two variables does not show a statistically significant moderating effect. These findings underline the value of digital infrastructure as a strategic internal resource that supports financial growth. Nevertheless, the minimal moderating impact suggests that a portion of customers either lack access or sufficient skills to effectively utilize the available digital platforms. This study adds to the current body of knowledge by examining the interplay between digital transformation and customer satisfaction in shaping financial performance, framed through the Resource-Based View (RBV) theory. The research suggests that improving digital literacy and promoting better adoption of digital tools among customers is essential to fully capitalize on the benefits of technological advancement. Furthermore, it highlights the need for continuous training and support to ensure that all customers can engage with digital services effectively, thereby enhancing overall satisfaction and financial performance. By addressing these gaps, organizations can foster a more inclusive digital environment that benefits both the customers and the service providers.

This study aims to analyze the level of customer satisfaction with the services provided at Meazza Futsal Denpasar. Using a descriptive quantitative approach with survey methods, the research involved 100 consumers as the population, all of whom also constituted the sample through accidental sampling. Data collection was carried out using two instruments: a closed-ended questionnaire with five answer choices and an interview guide. The questionnaire was distributed to 100 respondents who were willing to participate. The data were then analyzed using a quantitative descriptive technique with percentage calculations. The results showed that customer satisfaction levels in terms of service quality at Meazza Futsal Denpasar are generally categorized as very satisfied. Specifically, the satisfaction indicators included reliability (52%), responsiveness (42%), assurance (48%), and empathy (50%), with reliability and empathy being the highest contributors to satisfaction. These findings indicate that customers perceive the services provided by Meazza Futsal as meeting or exceeding expectations across most service dimensions. The implication of this study is that the management of Meazza Futsal should continue maintaining the quality of its services while also seeking opportunities for improvement, especially in areas such as responsiveness, to ensure consistent customer satisfaction. Overall, this research reinforces the importance of regular service evaluation and customer feedback in maintaining a competitive advantage in the sports service industry. In addition, this study can serve as a valuable reference for other similar businesses aiming to enhance their service quality. Future researchers are encouraged to examine broader variables such as pricing strategy, facility maintenance, and customer engagement to obtain a more comprehensive understanding of factors influencing customer satisfaction in the sports service sector.

Digital transformation has become a critical factor in enhancing the competitiveness and sustainability of micro, small, and medium enterprises (MSMEs) in the digital economy era. This study aims to examine the integration of e-wallet services and social media marketing strategies as components of digital transformation within MSMEs. Employing a Systematic Literature Review (SLR) approach, the study analyzes 25 relevant scholarly articles published between 2018 and 2025. The findings indicate that the adoption of e-wallets facilitates financial transactions, improves operational efficiency, and promotes compliance with formal financial systems. Meanwhile, the use of social media proves effective in expanding market reach and strengthening customer engagement. However, the adoption of these digital tools remains constrained by several challenges, including limited digital infrastructure, low levels of technological literacy, and resistance to change. These findings offer important implications for policymakers and business practitioners in designing inclusive and sustainable digitalization strategies for MSMEs

This research discusses the strategic role of MSMEs in the Indonesian economy and explores digitalization as a marketing solution to overcome challenges such as less strategic location and low digital literacy. The aim is to investigate the impact of digitalization on MSME marketing strategies, particularly in improving operational efficiency and market reach. The method used is qualitative with a literature review from credible sources such as books and scientific journals. The results show that digitalization significantly improves the marketing effectiveness of MSMEs, as in the case study of Warung Sarapan Tiga Dara which is able to overcome location limitations by utilizing social media and digital tools to reach a wider audience. In conclusion, the implementation of digital marketing strategies is essential for MSMEs to thrive in a competitive environment by improving operational efficiency, customer engagement, and business sustainability despite location constraints.

Local fashion brands in Indonesia are gaining popularity due to their affordable prices and competitive quality compared to imported products. One successful example is Arkline, a local fashion brand that effectively uses digital marketing, particularly TikTok, to reach its target market. This study aims to analyze Arkline’s sales growth strategy using a qualitative descriptive approach. Data were collected through digital observations and official online sources. The findings reveal that TikTok is a highly effective platform for engaging Generation Z, who prefer visual, interactive, and authentic content. Arkline’s strategy includes creating trend-based videos, using TikTok Live for real-time interactions, and collaborating with influencers who have large followings. These methods help increase brand awareness, strengthen customer engagement, and drive purchasing decisions. Additionally, the TikTok Shop feature enables seamless in-app transactions, which boosts conversion rates. Overall, TikTok serves as a powerful tool for Arkline to build stronger relationships with consumers, expand its market reach, and stay competitive in the fashion industry. With the right digital marketing strategy and adaptability to current trends, local brands like Arkline can fully leverage TikTok’s potential as an effective platform in today’s digital era.

In recent years, perfume sales in Indonesia have been experiencing rapid growth. This potential development has emerged as a result of increasing public awareness of the importance of maintaining personal appearance. Data shows that Indonesians now prefer to buy local or domestic products to maintain their appearance, leading to intense market competition among local perfume brands. This study aims to analyze the influence of content marketing on brand image, electronic word of mouth (e-WOM), and customer engagement, as well as the influence of brand image, electronic word of mouth, and customer engagement on purchase intention in the context of local perfumes in Jakarta. This research uses a quantitative method by collecting data through a Google Form questionnaire distributed to 210 respondents. The criteria for respondents in this study include Jakarta residents aged 17 and above who have used local perfumes and have seen content related to local perfume brands. The study employs structural equation modeling analysis techniques using SPSS 25 and Amos 23 software. The results of this study indicate that content marketing has a positive and significant effect on brand image, electronic word of mouth, and customer engagement. Furthermore, it is also found that brand image, electronic word of mouth, and customer engagement have a positive and significant effect on purchase intention.

The rapid pace of urbanization has intensified competition among businesses, prompting the adoption of innovative strategies to enhance sales performance and customer engagement. PT Inspirasi Bisnis Nusantara, under the HAUS! brand, introduced “Huling,” a hyperlocal distribution service utilizing electric bikes (e-bikes) equipped with integrated storage boxes to improve delivery efficiency and environmental sustainability. This study aims to evaluate customer acceptance of the Huling service by applying the Technology Acceptance Model (TAM). The model incorporates five core variables: Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Attitude Towards Usage (ATU), Behavioral Intention (BI), and Actual Usage (AU). A quantitative research approach was employed, collecting data from 258 respondents through structured questionnaires. The data were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to assess the relationships among the TAM variables. The findings reveal that PEOU has a significant positive effect on both PU and ATU, indicating that ease of use not only improves perceptions of usefulness but also fosters favorable attitudes toward adoption. PU significantly influences ATU and BI, suggesting that perceived benefits drive both positive attitudes and intentions to use the service. Furthermore, BI has a direct and significant effect on AU, confirming that stronger behavioral intentions translate into actual utilization. The analysis highlights the strongest impact along the pathway PEOU → ATU → BI → AU, underscoring the critical role of user-friendly design and positive attitudes in driving customer adoption. This research contributes to the literature by demonstrating the applicability of TAM in the hyperlocal distribution sector, offering practical implications for service providers seeking to enhance user acceptance through improved usability and perceived value. The findings suggest that optimizing ease of use and communicating tangible benefits can significantly increase customer engagement and sustained usage of innovative delivery services.

This study aims to analyze the influence of Digital Customer Experience (DCE) and Customer Engagement (CE) on Brand Loyalty (BL) among Generation Z, a digital-native cohort that plays a strategic role in shaping market dynamics in the digital era. Using a quantitative explanatory research design, data were collected through a structured questionnaire employing a 5-point Likert scale, distributed to 100 purposively selected respondents aged 18–27 who actively interact with brands through digital platforms. Multiple linear regression analysis was applied with SPSS software to test the hypotheses. The results reveal that Digital Customer Experience has a positive and significant impact on Brand Loyalty, indicating that seamless, personalized, and satisfying digital interactions enhance consumer loyalty. Similarly, Customer Engagement exerts a positive and significant influence on Brand Loyalty, emphasizing the role of active customer participation in strengthening emotional attachment and long-term commitment to brands. Jointly, both variables explain over 70% of the variation in Brand Loyalty, underscoring their synergistic effect in driving repurchase intention and advocacy behaviors among Generation Z. The findings provide both theoretical implications for enriching the customer experience–engagement–loyalty framework and practical guidance for marketers to optimize digital touchpoints, foster interactive engagement, and design loyalty-driven strategies tailored to Generation Z’s behavioral patterns in the digital marketplace.

This research uses a qualitative method to explore the role of digital marketing skills in enhancing the competitiveness of Islamic banking institutions in the era of digital transformation. The rapid development of information technology requires financial institutions, including Islamic banks, to adapt to digital-based marketing strategies to remain competitive in the market. Digital marketing skills such as social media management, search engine optimization (SEO), content marketing, and digital data analysis have become essential in effectively reaching customers and building strong brand awareness. This study was conducted through in-depth interviews with Islamic banking practitioners and analysis of documentation related to digital marketing strategies. The findings reveal that mastering digital marketing skills significantly helps Islamic banking institutions expand their market reach, improve customer engagement, and strengthen their competitive position in the financial industry. Moreover, the proper implementation of digital marketing also enhances promotional cost efficiency and encourages product and service innovation based on customer needs. These findings serve as a vital reference in developing more relevant Islamic marketing strategies for the current era.

This research examines the competitive advantages of scarf brands in Indonesia by comparing three cases: Ash Scarf, Brand Botton Scarf, and Umama. The study analyzes how each brand employs differentiation and digitalization strategies to achieve a competitive edge in the market. By applying Porter's generic strategies framework and the resource-based view, this research identifies the unique value propositions, target market focus, and digital marketing effectiveness of each brand. The findings reveal distinct approaches to competitive advantage, highlighting the importance of brand positioning, product innovation, and customer engagement in the online and offline landscape.

This research aims to describe the implementation of digital transformation in marketing strategies among micro, small, and medium enterprises (MSMEs) in the culinary sector, using Nomnom Kitchen in Bandarlampung City as a case study. Employing a qualitative approach with data collection techniques including interviews, observations, and documentation, the research explores the firsthand experiences of business actors in transitioning from conventional to digital marketing. The findings reveal that MSME actors face complex dynamics throughout the digitalization process, involving internal challenges such as limited human resources and digital content management, as well as external opportunities like expanded market reach. Digital transformation emerges as a strategic tool that enhances promotional efficiency, strengthens customer engagement, and fosters a business model that is more responsive to technological advances. The study highlights the importance of digital training and the enhancement of entrepreneurial capacity to optimize the digital potential of MSMEs.

The study focuses on analyzing business strategies to enhance sales in 24-hour coffee shops (warkop24h) in Indonesia, considering their unique challenges and opportunities. Conducted through supportive activities in Karangasih Village, Bekasi, the research employs various methodologies including surveys, discussions, and practical tutorials aimed at providing comprehensive reviews and innovative strategies. Key findings indicate that these coffee shops need to improve promotional efforts and address supply chain issues, particularly with essential ingredients like ice, to bolster customer satisfaction. By developing unique menu offerings and leveraging digital marketing, these businesses can capture the attention of the younger demographic, particularly Gen Z, who view warkop as social and creative spaces. The study concludes that implementing strategic adaptations in response to market trends and customer preferences can significantly bolster the viability and growth of coffee shop businesses in competitive environments. This research highlights the critical role of micro, small, and medium enterprises (UMKM) in contributing to the broader economic framework of Indonesia.

This study analyzes the influence of Augmented Reality (AR) technology on consumer purchase intention with customer engagement as an intervening variable at Sephora Indonesia. This quantitative research involved 150 respondents who are users of Sephora Virtual Artist, analyzed using Structural Equation Modeling (SEM). The research instrument measures three main variables: Augmented Reality (interactivity, vividness, novelty), Customer Engagement (cognitive, emotional, behavioral), and Purchase Intention (intention, willingness, likelihood to purchase) using a five-point Likert scale. The research results show that AR has a positive and significant effect on customer engagement and purchase intention. Customer engagement also has a positive effect on purchase intention and is proven to mediate the relationship between AR and purchase intention. This study contributes to the AR literature in beauty e-commerce and recommends that Sephora optimize AR features, develop comprehensive customer engagement strategies, and continue investing in AR technology as a competitive advantage.

The purpose of study This is For analyze in a way direct and indirect direct Influence Brand Image and Brand Love Towards Customer Loyalty With Customer Engagement As An Intervening Variable On Somethinc Brand Consumers at Delipark Mall Medan . Population​ in study This is all over consumer Somethinc brand at Delipark Mall Medan with amount population that is not known with sure . Technique in taking sample in study This is use technique taking sample with method nonprobability sampling with technique purposive sampling . Purposive sampling is technique taking sample based on consideration​ certain . The data analysis method used is SEM-PLS. In research This consists of from 2 variables independent variable , 1 intervening variable , and 1 dependent variable bound . Total statement in study This is 32 statements , so the minimum size is sample study This is 32 x 5 = 160, so amount sample taken​ in study This is 160 respondents . The results of the study show that variable brand image and brand love in a way direct influential significant to customer engagement, variable brand image in a way direct No influential significant to customer loyalty , brand love in a way direct influential significant to customer loyalty, furthermore customer engagement in a way direct influential significant to customer loyalty , brand image in a way No direct influential significant to customer loyalty through customer engagement , as well as variable brand love in a way No direct influential significant to customer loyalty through customer engagemen.

This research explores the combined effects of content marketing and brand experience on customer response, a relationship that has not been extensively studied in previous research. The study highlights the significance of customer service as a key determinant of business success, emphasizing that when customers feel valued and receive prompt responses from a company, their satisfaction, loyalty, and willingness to engage with the brand increase. The research was conducted on a sample of customers from the General Company for Southern Cement, specifically the Kufa Cement Factory. The study focused on Ordinary Portland Cement and sulfate-resistant cement. A total of 85 questionnaire forms were distributed, with 80 valid responses collected for statistical analysis.The findings indicate that both content marketing and brand experience play a crucial role in enhancing customer communication and service quality. Effective content marketing strategies contribute to better training for customer support teams, ensuring a more responsive and engaging interaction with customers. Furthermore, improving communication channels and response speed positively impacts customer satisfaction. By adopting content marketing strategies and leveraging brand experience, businesses can enhance customer engagement, strengthen relationships, and ultimately achieve their organizational goals.The research recommends integrating content marketing into business operations to build long-term customer relationships and improve brand reputation. Additionally, companies should establish a dedicated internal department for marketing, ensuring that content marketing efforts are credible, relevant, and engaging. By creating meaningful and interactive content, businesses can attract and retain customers, fostering brand loyalty and trust over time.

Hotel booking cancellations pose significant challenges to the hospitality industry, affecting revenue management, demand forecasting, and operational efficiency. This study explores the application of machine learning techniques to predict hotel booking cancellations, leveraging structured data derived from hotel management systems. Various classification algorithms, including Random Forest, XGBoost, and LightGBM were evaluated to identify the most effective predictive model. The findings reveal that XGBoost model outperforms other models, achieving F2-score of 0.7897. Key influencing factors include deposit type, total number of special requests, and marketing segment. The results underscore the potential of predictive modeling in optimizing hotel revenue strategies by enabling proactive measures such as dynamic pricing, targeted customer engagement, and improved overbooking policies. This study contributes to the ongoing advancements in data-driven decision-making within the hospitality industry, offering insights into how machine learning can mitigate financial risks associated with booking cancellations.