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This study aims to evaluate the effectiveness of the implementation of the marketing mix in SMEs in the laundry service sector, focusing on the 7P elements: product, price, promotion, place, process, people, and physical evidence. The research uses a descriptive qualitative method with data collection techniques including interviews, observations, and documentation with laundry business owners. The results show that a diverse range of services, competitive pricing, strategic location, and structured work processes contribute to the sustainability of the business. However, challenges such as unpredictable weather, timeliness, limited facilities, and suboptimal promotion still pose barriers to improving service quality. The findings highlight the importance of strengthening digital promotion, modernizing equipment, and improving the accuracy and consistency of human resources (HR) to enhance the effectiveness of the marketing mix. With improvements in these areas, laundry SMEs can enhance their competitiveness and provide better service to customers, thus strengthening their position in a competitive market.

This study aims to analyze the comparison of small business development strategies in improving the income of traders in traditional markets around Medan City. The research employed a qualitative descriptive approach using interviews, observations, and documentation involving three traders of fruit, vegetables, and tomatoes. The results show that each trader applies different strategies depending on the characteristics of their commodities and business capacity. Fruit and tomato traders tend to implement quality sorting, price adjustments, and trust-building through honest customer service. Meanwhile, the vegetable trader relies more on traditional approaches such as giving bonuses to customers. Market facilities significantly influence the effectiveness of business strategies, where traders with proper stalls are better able to maintain income stability compared to those using temporary tents in muddy and uncomfortable areas. Seasonal factors also strongly affect income fluctuation as they determine the quality and supply of commodities. This study concludes that small business development strategies in traditional markets are shaped not only by traders’ managerial abilities but also by market infrastructure conditions and external environmental factors. It is recommended that market managers improve market facilities to support the sustainability of small traders’ businesses.

This study aims to analyze the influence of product quality on consumer satisfaction in the Kipang Sisera Panyabungan Business. The research method used is a quantitative approach with data collection techniques through observation, interviews, and questionnaire distribution to 96 respondents who are customers of Kipang Sisera. The data obtained were analyzed using validity, reliability, and regression analysis tests with the help of SPSS 25. The results of the validity test showed that all items in the questionnaire were valid with a rtable value of > (0.1689), while the results of the reliability test using Alpha Cronbach showed a value of > 0.60, which means that the research instrument is trustworthy. The results of the partial regression test (t-test) showed that product quality had a positive and significant effect on consumer satisfaction with a significance value of 0.000 < 0.05. The determination coefficient (R²) test showed that product quality contributed 62.9% to consumer satisfaction, while the rest was influenced by other variables that were not studied in this study. These findings indicate that improving product quality, both in terms of taste, packaging, and quality consistency, is very important in maintaining consumer satisfaction and the sustainability of Kipang Sisera's business in the midst of market competition.

In the contemporary digital marketplace, consumers increasingly face diverse product choices and brand communications. Understanding the mechanisms through which product quality and brand perception influence customer loyalty remains critical for competitive advantage. The mediating role of customer trust in this relationship has received limited empirical attention within Indonesian market contexts. This research analyzes the direct and indirect effects of product quality and brand perception on customer loyalty, with customer trust as a mediating variable, using Partial Least Squares Structural Equation Modeling (PLS-SEM) methodology on 103 respondents. A quantitative cross-sectional survey design was employed, collecting data via Likert-scale questionnaires (1-5) with 15 measurement items across four latent constructs: Product Quality (5 items), Brand Perception (4 items), Customer Trust (3 items), and Customer Loyalty (3 items). Data analysis utilized PLS-SEM via SmartPLS 3.0, including assessment of measurement model validity (outer model), structural relationships (inner model), and mediation effects through bootstrapping (5000 iterations). The outer model demonstrated adequate validity with 12 of 15 indicators loading above 0.7, and all constructs meeting composite reliability (CR > 0.7) and average variance extracted (AVE > 0.5) criteria. The inner model revealed that product quality significantly influenced customer trust (β = 0.624, p < 0.001), while brand perception showed no significant direct effect (β = 0.045, p = 0.767). Customer trust strongly predicted loyalty (β = 0.650, p < 0.001). Product quality demonstrated a significant indirect effect on loyalty through trust (β = 0.405, p < 0.001), indicating full mediation. The model explained 43.5% of trust variance and 42.2% of loyalty variance. Product quality emerged as the dominant antecedent of customer trust and loyalty, while brand perception did not significantly contribute. Trust served as the critical mechanism translating quality into loyalty. These findings suggest that companies should prioritize quality assurance and consistent delivery over brand marketing campaigns for sustainable loyalty development. The research contributes to mediation theory in consumer behavior and provides actionable strategic guidance for practitioners in emerging markets.

Artificial Intelligence (AI) has become a significant driver of innovation in the banking sector, especially in the context of post-pandemic digital transformation. AI is widely utilized in areas such as fraud detection, credit evaluation, risk management, and customer interaction, attracting considerable interest from both academics and industry professionals. This research explores the recent advancements in AI within the banking industry, focusing on studies published between 2020 and 2025. A bibliometric approach is employed, using data from the Scopus database and bibliometric tools like VOSviewer and R Studio to visualize keyword networks and track emerging trends. The study aims to identify influential authors, journals, and countries contributing to AI research in banking. By analyzing these developments, the research highlights the contributions of AI to improving operational efficiency, data security, and financial inclusion, particularly in the Indonesian context. This work offers valuable insights into the ongoing integration of AI in the banking sector and its potential to shape future financial services, emphasizing its relevance to both global and regional markets.

This study examines the influence of work discipline, training, and motivation on employee performance at PDAM Tirta Ayu, Tegal Regency. In a public service organization such as PDAM, employee performance is crucial to ensure customer satisfaction and strengthen institutional competitiveness. A quantitative survey method was used with questionnaires distributed to all 115 employees using a saturated sampling technique, as the entire population was included. The independent variables analyzed were work discipline (attitude, compliance with rules, responsibility), training (materials, methods, instructor competence, duration, facilities), and motivation (intrinsic and extrinsic). Employee performance, as the dependent variable, was measured using indicators of work quality, work quantity, teamwork, and problem-solving ability. The data were processed through multiple linear regression to assess simultaneous and partial effects. The research findings revealed that work discipline, training, and motivation each have a positive and significant impact on employee performance, but for training has a positive and insignificant effect, this is shown by the significant results of each significant level for work discipline sig value = 0.000 (<0.05), training sig value = 0.632 (>0.05) and motivation with sig value = 0.000 (<0.05). These results highlight the importance of strengthening employee discipline, implementing well-structured and sustainable training programs, and fostering sustainable motivation strategies. This research provides practical implications for PDAM Tirta Ayu management in designing policies to improve overall employee performance, thereby improving service quality and organizational competitiveness.  

The growth of e-commerce in Indonesia has led to an increase in product reviews, including for beauty products on Tokopedia and Shopee. These reviews serve as important sources of information to assess consumer satisfaction; however, manually analyzing thousands of reviews daily is impractical. This study applies Natural Language Processing (NLP) with Naive Bayes, C4.5, XGBoost algorithms to classify sentiment in Indonesian-language reviews. The dataset used consists of 76,256 reviews labeled as positive, negative, and neutral. The research stages include text preprocessing, feature representation using BoW and TF-IDF, data balancing through SMOTE, and model performance evaluation based on accuracy, precision, and recall. Differences in results among the algorithms were analyzed using ANOVA. The results show that Naive Bayes achieved the highest accuracy at 67.71%, followed by XGBoost at 65.91%, and C4.5 at 58.39%, with Naive Bayes performing best in identifying positive and negative sentiments, while XGBoost and C4.5 handled more complex data patterns effectively. These findings provide guidance for sentiment analysis in Indonesian and support businesses in obtaining automated insights from customer reviews to improve product quality and services.

This study aims to classify customer payment methods at 17 Coffee & Eatery using machine learning algorithms, namely Naïve Bayes and Support Vector Machine (SVM). The increasing use of digital and non-cash payments has generated large volumes of transaction data that are rarely analyzed optimally, even though such data contain valuable information for business decision making. This research used secondary transaction data collected from January to March 2025, consisting of 10,147 transaction records. The dataset included several attributes such as order time, payment time, transaction type, total sales, number of items, and payment method. Data preprocessing was performed through data cleaning, feature engineering, normalization, and label encoding before being divided into training and testing sets with an 80:20 ratio. The Naïve Bayes and SVM models were then trained and evaluated using accuracy, precision, recall, F1-score, and ROC–AUC metrics. The results show that both algorithms were able to classify payment methods effectively, but SVM achieved higher accuracy and more stable performance than Naïve Bayes. These findings indicate that SVM is more suitable for handling complex and heterogeneous transaction patterns. The implementation of machine learning for transaction classification can support more efficient financial management and data-driven decision making for small and medium enterprises in the culinary sector.

The development of information technology has encouraged restaurants and cafés to function not only as dining places, but also as venues for hosting various events. However, the event reservation process at Rumah Makan Ny. Hartini and Café Rain is still carried out manually through logbooks, telephone calls, and WhatsApp, resulting in problems such as unorganized data, delayed confirmations, and miscommunication with customers. In addition, the manual system limits access to information regarding venue availability, reservation schedules, and additional facilities required by customers. This study aims to develop a web-based event reservation information system using the prototyping method. The system design was carried out using Unified Modeling Language (UML), including use case diagrams, activity diagrams, and class diagrams to model user interactions, process flows, and system structure. The results of the study show that the developed system is able to automate the reservation process, customer data recording, reservation confirmation, schedule management, and additional facilities management. This system improves operational efficiency, data accuracy, and service quality, while also making it easier for customers to make reservations independently and obtain information quickly and accurately.

This research aims to examine how prices and reviews influence consumers 'purchasing decisions on the Shopee platform in Jambi City. The rapid development of e-commerce has encouraged consumers to be more careful and discerning when selecting products, making price and product reviews important considerations in buying decisions. This study employed a quantitative approach via a survey method for data collection. The questionnaires were distributed online and successfully gathered responses from active Shopee users in Jambi City. Purposive sampling was employed to make sure that respondents met research criteria. The information gathered underwent analysis using IBM SPSS Statistics 27, which involved conducting assessments of validity, reliability, and classical assumptions, and multiple regression tests to see the impact of each variable on buying decisions. The study revealed that product price and reviews hold an important and relevant impact on consumer buying decisions. This research indicates that the more competitive the price and the better the quality, the bigger the possibility of customers buying products on Shopee.

The increasing volume of online hotel reviews provides valuable insights into customer perceptions but poses challenges for manual analysis due to its unstructured nature. This study aims to compare the performance of Recurrent Neural Network (RNN) and Bidirectional Encoder Representations from Transformers (BERT) in hotel review sentiment analysis. A total of 20,491 TripAdvisor hotel reviews were classified into three sentiment categories: negative, neutral, and positive. The research methodology includes text preprocessing, stratified data splitting, class imbalance handling using Random Over-Sampling, tokenization, and supervised model training. Model performance was evaluated using a confusion matrix and classification metrics. The results indicate that BERT outperforms RNN, achieving an accuracy of 80.54%, while RNN reached 62.21%. BERT demonstrated superior capability in capturing contextual and semantic information in hotel reviews. These findings suggest that transformer-based models are more effective for sentiment analysis of complex textual data in the hospitality domain and can support data-driven service improvement strategies.    

Quality management and Total Quality Management (TQM) have become critical issues in both education and industry because they are directly related to service quality, process efficiency, and customer satisfaction. The rise of global competition demands organizations to implement a quality system that not only focuses on technical standards, but also integrates a comprehensive quality culture. This article aims to answer the research question regarding how the application of quality standards and TQM affects the quality of organizational management and the benefits produced for both academics and practitioners. The research method uses a qualitative approach with a literature review (LR) model. Data were obtained from 20 scientific articles published between 2020 and 2025 through Google Scholar and Publish or Perish (PoP) using the keywords “quality management, standard, benefits, TQM.” After the screening process, five articles were selected for in-depth analysis. The results of the analysis reveal three main findings: (1) quality standards serve as a fundamental basis for maintaining quality consistency, (2) the implementation of TQM is proven to be flexible and applicable across various sectors, and (3) the benefits of TQM include improved service quality, process efficiency, and customer satisfaction. The conclusion of this synthesis highlights that the application of TQM is not merely a technical strategy, but also shapes a sustainable organizational culture. Future studies should further explore the integration of TQM within the context of digitalization and educational innovation.

This study aims to analyze the potential and business development strategies of Warung Misop Kampung Yani Mbotz in Tanjung Morawa District as a representative of traditional culinary MSMEs. The main problems identified are limited capital, simple business management, and the lack of digital promotion. This research employs a qualitative descriptive method with a case study approach, using direct observation, interviews with the business owner, and document analysis. Data were analyzed using the SWOT (Strengths, Weaknesses, Opportunities, Threats) framework to identify internal and external factors, and the Business Model Canvas (BMC) to formulate development strategies. The results reveal that the main strengths of the business lie in authentic taste, affordable prices, and customer loyalty. Weaknesses include limited menu innovation, underutilized digital promotion, and the absence of systematic financial recording. Opportunities arise from the growing public interest in traditional culinary products and government support for MSMEs, while threats come from competition with modern food outlets, fast-food chains, and rising raw material prices. The strategies formulated through the BMC framework include product innovation, service diversification, the optimization of social media marketing, and the strengthening of business networks. The study concludes that applying BMC-based strategies can enhance the competitiveness of Warung Misop Kampung Yani Mbotz while preserving traditional culinary heritage. These findings are expected to serve as a reference for other culinary MSMEs in developing their businesses sustainably.

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in Indonesia's economic development, particularly in developing products based on local wisdom. Toko Jayabaru is an MSME that markets Maumere's signature souvenirs made from traditional ikat woven fabric, facing various challenges and opportunities amid business and tourism dynamics. This study aims to identify internal and external factors affecting Toko Jayabaru's performance and formulate appropriate business development strategies through SWOT analysis. The research employs a qualitative descriptive approach with data collection through in-depth interviews with the owner and management of Toko Jayabaru. Data analysis uses the SWOT framework (Strengths, Weaknesses, Opportunities, Threats) to identify the business's strategic position and formulate alternative development strategies. Toko Jayabaru's main strengths lie in strong local cultural identity, authentic product quality, and adequate business experience. Weaknesses include limited digital marketing, restricted production capacity, and lack of derivative product variations. Opportunities encompass Flores tourism sector growth, increasing interest in local products, and potential strategic collaborations. Main threats are competition from similar products, influx of imitation products, and dependence on tourism sector fluctuations. Recommended development strategies include strengthening branding through storytelling, diversifying woven derivative products, optimizing digital marketing, strategic collaboration with tourism stakeholders, enhancing human resource capacity, and implementing customer loyalty programs. Implementation of these strategies is expected to increase MSME competitiveness while preserving Maumere's local culture.

The hospitality sector faces major challenges, including fierce competition, low occupancy rates, and high operating costs, especially post-COVID-19 pandemic. This article examines how adaptation strategies, particularly through digital investments, affect customer satisfaction and hotel occupancy rates. This study uses a mixed method approach, combining quantitative and qualitative methods. Qualitative data was collected through in-depth interviews with managers, staff, and guests at five hotels in Semarang, Indonesia, to identify key factors for successful adaptation. Qualitative data are analyzed using MAXQDA software. Quantitative data were analyzed by multiple regression. The results show that investment priorities are a key driver of successful adaptation, although supporting factors such as improved facilities, quality of service, and the involvement of all personnel. Quantitative findings show that hotel adaptation strategies significantly affect customer satisfaction (influence of 47.10%) and occupancy rate (influence of 38.40%). Digitalization enhances operational efficiency, allowing staff to focus on personal interactions. Technologies like AI-based recommendations and mobile check-in directly improve the overall guest experience, correlating with loyalty. The conclusion of the study is that strategic digital investments, improved service quality and active staff engagement, are key to improving customer satisfaction, optimizing occupancy rates, ultimately, driving hotel revenue growth in the post-pandemic era.

This study aims to comprehensively examine the implementation and mechanisms for results in Al-Mudharabah financing at Bank Muamalat Rangkasbitung, while also assessing the level of compliance of its implementation with sharia principles. This study applies a qualitative descriptive method with a field study approach involving direct observation, interviews, and review of documents related to Mudharabah financing procedures. The research findings show that Bank Muamalat Rangkasbitung implements a profit-sharing system based on the principles of justice (al-'adl) and trustworthiness (al-amanah). The profit-sharing scheme is carried out proportionally according to the ratio agreed upon in the initial contract, so that both parties have clarity regarding rights and responsibilities. The implementation of this system not only ensures the avoidance of usury but also strengthens the partnership between the bank and customers through practices of transparency, information disclosure, and a shared commitment to business management. Overall, these findings show that the implementation of Al-Mudharabah financing at Bank Muamalat Rangkasbitung has been running in line with several sharia values ​​and even supports the realization of fair, ethical, and sustainability-oriented Islamic economic practices. Thus, Mudharabah financing at the branch can be an example of the effective implementation of sharia contracts and is able to encourage the development of the sharia financial sector at the local level.

This study aims to analyze the marketing strategies of Islamic bank products based on sharia values implemented in Mojoarno Village (Ikhsanudin et al. 2024). The background of this research is the increasing development of Islamic banking in Indonesia which is not always followed by sucient understanding of sharia nancial products at the rural level (Qothrunnada et al. 2023). This condition requires Islamic banks to design marketing strategies that are not only focused on product promotion, but also on education, empowerment, and strengthening public trust (Damayanti 2023). This research uses a qualitative case study approach on an Islamic bank that actively conducts marketing activities around Mojoarno Village (Yin 2018). Data were collected through in-depth interviews with bank marketing sta , religious leaders, and customers, participatory observation in socialization and religious activities, as well as documentation of promotional materials and internal reports (Miles and Huberman 2014). The data were analyzed through data reduction, data display, and conclusion drawing with source and technique triangulation to ensure validity. The ndings show that marketing strategies integrated with sharia values—such as justice, transparency, and avoidance of riba, gharar, and maysir—combined with religious and cultural approaches through mosques and majelis taklim can increase public literacy and interest in Islamic bank products (Rahman, Aji, and Sopingi 2023). However, several challenges still remain, including low initial nancial literacy, strong informal nancial practices, and limited marketing resources in rural areas (Syifa, Nasution, and Inayah 2024). The implications of this research emphasize the importance of synergy between Islamic banks, religious leaders, and local communities to develop sustainable sharia-based marketing models in rural contexts.

Laskar Buah is a modern retail chain specializing in the sale of fresh fruit. At present, the company operates one hundred branches across ten regencies. One of its outlets, Laskar Buah Ngumpakdalem, ranks among the top three branches in terms of transaction volume; however, it has received a considerable number of customer complaints regarding the quality of service provided. This situation has prompted management to conduct a thorough evaluation of the store’s service quality.This study was conducted with the aim of analyzing and evaluating service quality using the Importance–Performance Analysis (IPA) method based on the Retail Service Quality Scale (RSQS). The results of the IPA analysis were subsequently used as a foundation for determining priority areas for service improvement.The findings reveal that four service attributes fall within Quadrant B, indicating that they should be prioritized for immediate improvement. These attributes include the cleanliness of the shopping area, store layout, employee product knowledge, and product quality. Additionally, twelve attributes fall under Quadrant C, where performance should be maintained due to their already strong results. On the other hand, eleven attributes fall into Quadrant A, meaning they are considered lower  priority, while one attribute is located in Quadrant D, suggesting that Laskar Buah Ngumpakdalem is providing excessive performance in that particular aspect.

This study aims to gain an in-depth understanding of the influence of user experience and e-service quality on user satisfaction with the MyTelkomsel mobile application. This research was conducted using a descriptive qualitative method along with data collection techniques in the form of semi-structured interviews and direct observation of active users of the MyTelkomsel application in the city of Medan. Data was obtained from 10 informants selected using purposive sampling techniques, supported by documentation of user interactions with the application. The results of the study indicate that ease of navigation, informative interface display, application response speed, and service feature reliability are the main factors that shape user satisfaction. Users tend to feel satisfied when the application is able to provide a comfortable, efficient, and responsive user experience that meets their needs. The findings of this study are expected to provide strategic input for Telkomsel in improving user experience and service quality as an effort to strengthen customer satisfaction and loyalty.

The development of digital technology has encouraged companies to adjust their marketing strategies, one of which is by utilizing social media. Shopee, as one of the largest e-commerce platforms in Indonesia, actively uses social media to expand its market reach, enhance its brand image, and attract consumers. This study aims to analyze how Shopee uses social media in its marketing strategy, focusing on the types of strategies used and their effectiveness in influencing consumers. The research method used is a Google form. The analysis is conducted by collecting questionnaire results from people who have filled it out and comparing them with other results. The results show that Shopee uses social media through various approaches, such as collaborating with influencers, creating creative content, and running interactive promotional campaigns on platforms such as Instagram, TikTok, and YouTube. These strategies have proven effective in increasing brand awareness, building interactions with consumers, and encouraging customer loyalty and purchasing decisions. This study concludes that social media plays an important role in supporting the success of Shopee's marketing strategy. These findings are expected to serve as a reference for e-commerce companies and other businesses in developing effective digital marketing strategies.