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This study aims to explain and test hypotheses regarding the influence of customer experience and product variation on consumer purchase decisions at Mie Judes Sambi Kediri, with brand image as a mediating variable. This research uses an associative approach with a quantitative method. The sampling technique employed is purposive sampling, involving 100 respondents who are consumers of Mie Judes Sambi. Data were collected through questionnaires, observations, documentation, and literature studies. The analysis technique used is Structural Equation Modeling (SEM) based on Partial Least Square (PLS), processed using SmartPLS version 4.1.1.2, which includes testing the outer model, inner model, and hypothesis testing. The results of the study indicate that customer experience and product variation have a positive and significant effect on brand image and purchase decisions. Brand image also has a significant influence on purchase decisions. Furthermore, brand image is proven to significantly mediate the influence of customer experience and product variation on purchase decisions. These findings affirm that enhancing customer experience and providing product variations that align with consumer preferences play a crucial role in building a strong brand image, which ultimately impacts consumer purchase decisions at Mie Judes Sambi Kediri.

In today's digital era, photography has been widely applied in various industrial fields and plays a crucial role in attracting consumer attention. Photography has evolved into several disciplines, including landscape photography, wedding photography, street photography, photojournalism, and product photography. Product photography is a high-quality photograph taken to showcase and explain the characteristics and details of a product or service. It not only serves as a representation of the product being offered but also serves as an effective marketing strategy. This applies to the culinary industry, particularly in cakes and food products, where product photography is essential to attract consumers' attention and enhance brand identity. In the case of Dee's Kitchen, the business owner believes that providing good store reviews and creating a positive image for the brand require the influence of influencers. According to an interview with the owner, there is a recognition that their current social media presence on Instagram could be enhanced to reach more potential customers. Therefore, there is a need for Dee's Kitchen to develop its Instagram profile further, making it more diverse and innovative in showcasing its products. This can be achieved by using visually appealing product photos, collaborating with influencers, and engaging with a broader audience through creative marketing strategies. Strengthening the online presence through well-curated photography and social media engagement could help Dee's Kitchen attract new customers, build brand loyalty, and ultimately boost business growth.

BPR in Indonesia. This study uses qualitative research methodology.  The methodology employed is a case study.  The findings of this investigation include (1) Marketing communication strategies in increasing customer loyalty at BPR Kusuma Sumbing Delanggu are by using 1) advertising, BPR Kusuma Sumbing Delanggu utilizes digital media, only using Facebook, Instagram and the BPR Kusuma Sumbing Delanggu website. 2) sales promotion, promotions using distributing brochures, installing banners, personal and non-personal sales by visiting customers directly. 3) Public relations, BPR Kusuma Sumbing Delanggu is building a positive image of the company through events, sponsorships, or CSR. 4) digital media promotion, digital media used in marketing BPR Kusuma Sumbing Delanggu uses social media such as Instagram and Facebook, and we also have a special website for BPR Kusuma Sumbing Delanggu with the website address. (2) BPR Kusuma Sumbing's challenge is that educational communication regarding BPR Kusuma Sumbing Delanggu products to customers is sometimes hampered by a lack of understanding of financial literacy. Therefore, I have to explain in detail and coherently, which takes quite a long time. (3) The solution to addressing the challenges in marketing communication strategies to increase customer loyalty at BPR Kusuma Sumbing Delanggu is to continuously improve customer relationships and expand our reach. By strengthening communication and providing better education, we believe we can increase customer loyalty and the BPR's future growth.

Distribution is an important aspect that affects the operational efficiency of a company, especially in terms of goods delivery. This study aims to develop an optimization model for LPG gas distribution routes using Excel Solver based on geographic coordinate conversion. In this study, the method used includes converting geographic coordinates from decimal to Degree-Minute-Second (DMS) format, followed by conversion to kilometers to form a more accurate distance matrix. The optimization model was built using the Capacitated Vehicle Routing Problem (CVRP) approach, which takes into account vehicle capacity constraints (a maximum of 560 cylinders per truck) and the limited number of available fleets, which is only one truck. The results show that coordinate conversion produces high accuracy in calculating distances between distribution locations. By using Excel Solver, the optimization solution successfully minimizes the total distance traveled compared to the conventional route, where distribution is carried out more evenly to 57 scattered LPG base locations. The addition of Solver Parameters Evolutionary and All Different constraints proved effective in avoiding duplication of visits and producing optimal distribution routes. This solution not only improves distribution time and cost efficiency, but also improves service to customers by reducing delivery delays. The success of this optimization model is expected to be implemented by other distribution companies to improve their operational performance. This study also highlights the importance of selecting the right software to aid the distribution optimization process. Excel Solver, despite its simplicity, proved highly effective in solving complex distribution routing problems, especially when combined with coordinate conversion techniques that yield more accurate distances. Furthermore, the application of the CVRP method enabled more efficient decision-making in determining distribution routes, taking into account vehicle capacity and fleet limitations.

This study proposes the integration of a Hybrid Recommendation method (combining Content-Based and Collaborative Filtering) with Random Forest Regression (RFR) to improve the accuracy of stay duration prediction in web-based boarding house booking systems. The main issue in online boarding booking systems is the inaccuracy of predicting user stay duration, affecting room allocation efficiency and customer satisfaction. The dataset was sourced from the hotel sector due to its attribute similarities and data validity. The research process includes data preprocessing (missing value imputation, normalization, and one-hot encoding), temporal and contextual feature engineering, hybrid recommendation system construction with CBF and CF score weighting, and RFR model training optimized through Grid Search and 10-fold cross-validation. Evaluation was conducted using MAE, RMSE, R² metrics, as well as recommendation metrics such as Precision@5, Recall@5, and Mean Reciprocal Rank (MRR). Results show that this integrated model achieved an R² of 0.7239 and an MAE of 1.0537 days, as well as a Precision@5 of 0.9636. This integration proves effective in improving prediction accuracy and recommendation relevance and contributes to the development of AI-based intelligent systems in the accommodation domain.

This study is driven by the importance of adopting digital-based marketing strategies in the agribusiness sector, particularly in rural areas such as Pacitan Regency. Y, as a local egg farming enterprise, seeks to enhance its marketing effectiveness through the implementation of   Digital Marketing and digital customer relationship management (CRM). The objective of this study is to examine the influence of these two strategies on egg product marketing. This research employed a quantitative correlational approach, with data collected through questionnaires and interviews. The sample consisted of 97 respondents who are consumers of Y. The results show that both   Digital Marketing and digital CRM simultaneously have a significant effect on improving product marketing.   Digital Marketing plays a role in expanding reach and product appeal by utilizing online platforms and targeted advertising, which helps increase product visibility to a broader audience. Meanwhile, digital CRM is effective in building long-term relationships and customer loyalty by providing personalized services, improving customer engagement, and maintaining communication. These findings imply that the integration of both strategies is highly relevant for micro-enterprises to improve competitiveness in the digital era, as they allow businesses to reach a wider market while fostering strong customer connections. This study also contributes to the development of literature on digital agribusiness marketing and serves as a practical reference for business promotion strategies, especially for small-scale enterprises looking to leverage digital tools for growth.

UMKM Tahu XYZ, a small-scale tofu producer, is currently facing significant challenges in maintaining consistent product quality, primarily due to a high defect rate. Common issues identified include crumbled tofu shapes, overly soft textures, and inconsistent taste, which negatively impact customer satisfaction and business sustainability. This study aims to investigate the root causes of these quality issues and propose practical solutions using the Lean Six Sigma methodology. The research employs a descriptive quantitative approach through the DMAIC framework—Define, Measure, Analyze, Improve, and Control—to ensure systematic problem-solving. Data were collected over a six-month period through direct observation, structured interviews, and review of production records. The analysis identified four dominant types of waste within the production process: unnecessary transportation, product defects, excessive movement, and over-processing. The root causes of these inefficiencies are linked to poor handling of raw materials, variability in soybean quality, and an ineffective production layout that hampers workflow and consistency. To address these problems, the study proposes several targeted interventions, including the redesign of the production layout to optimize flow, the implementation of the 5S (Sort, Set in order, Shine, Standardize, Sustain) workplace organization method, the development of standardized operating procedures (SOPs), and the adoption of improved soybean boiling technology. The implementation of these improvements is projected to significantly reduce product defects, enhance process efficiency, and ultimately increase customer satisfaction. Furthermore, these actions are expected to improve the overall competitiveness of UMKM Tahu XYZ within the highly demanding food industry sector. This research provides actionable insights for other micro, small, and medium enterprises (MSMEs) seeking to apply structured quality control methods to strengthen operational performance and long-term business resilience.

PaDi UMKM is a limited liability company (PT) and is classified as a closed PT. PT PaDi UMKM was established in 2020. The purpose of this study is to determine the optimization of digital public relations in improving image. The theories used in this study are digital public relations theory and image theory. This research approach uses a descriptive qualitative method, with primary data collection techniques in the form of interviews with three informants and an expert, and secondary data in the form of documentation, both data and images. The results of the study indicate that the optimization of digital public relations by PaDi UMKM plays an important role in improving brand image. Referring to Clea Bourne's theory, PaDi UMKM utilizes digital tools such as blogs, articles, and social media for one-way and two-way communication. This strategy is supported by media monitoring that includes content planning, trend utilization, and sentiment analysis to understand public opinion. The success of building a positive image is supported by attractive visual content, inspirational storytelling, and active interaction with the audience, as well as collaboration with the Ministry of State-Owned Enterprises that strengthens credibility. Challenges in the form of user complaints about the application system are handled through fast responses and responsive customer service. With a solution-oriented approach, appropriate education, and the use of digital platforms, optimizing digital public relations not only increases positive public perception but also strengthens customer loyalty, making PaDi UMKM a reliable B2B marketplace.

This study was conducted to determine the effect of online customer reviews and brand image on consumer purchasing decisions of Somethinc products. This study is a quantitative research using a non-probability sampling method with an accidental sampling/incidental sampling technique. In this study, primary data in the form of questionnaires through Google Forms was used. The number of samples used in this study was 96 respondents who were people domiciled in Bekasi City. The analysis technique used in this study uses multiple linear regression analysis with the help of SPSS 26 software. Based on the results of the data processing carried out, the results of this study showed that the Online Customer Review variable has a positive and significant effect on Purchasing Decisions, the Brand Image variable has a positive and significant effect on Purchasing Decisions. The Online Customer Review and Brand Image variables simultaneously have a significant influence on the Purchasing Decision variable.        

The use of BRIMEN (BRI Document Management System) in digital document processing operations during internship activities at the Medan Regional Office of PT Bank Rakyat Indonesia (Persero) Tbk. is the main focus of this article. The objective of this study is to understand how the BRIMEN system contributes to the storage, retrieval, and classification of documents, particularly in relation to credit document management. This system was introduced to address common issues found in manual archiving, such as limited storage space, difficulties in document retrieval, and the risk of errors in preserving clients’ physical records. The research employed a descriptive qualitative approach through direct observation and active participation in daily workflows. The findings indicate that BRIMEN significantly improves operational efficiency by providing a more systematic and secure digitalization procedure for banking documents. The system not only reduces the risk of loss or damage to physical archives but also accelerates the process of data retrieval when required by work units. Through its classification and tracking features, BRIMEN ensures better consistency between digital data and physical documents, although several technical challenges remain, such as restricted access to storage rooms and difficulties in scanning older or non-standard documents. Overall, the results highlight the importance of implementing a well-structured digital document management system to support the smooth operation of modern banking institutions. BRIMEN represents a tangible step in BRI’s digital transformation, strengthening data security while simultaneously improving the quality of credit services delivered to customers. With continuous improvement, this system has the potential to serve as a model for digital document management that can be more widely adopted across Indonesia’s banking sector.

This research explores the crucial role of cybersecurity in building and maintaining digital trust for e-business sustainability. The rapid digitalization era has increased business dependence on digital platforms but also brought cyber risks that can threaten customer trust and operational sustainability. This systematic literature review analyzes recent research (2021–2025) from various academic databases including Google Scholar, IEEE Xplore, ScienceDirect, Scopus, and ACM Digital Library. The research objectives are to identify the impact of cyber incidents on customer trust, analyze digital trust-building strategies, and formulate recommendations for e-business sustainability. Study results show that cyber incidents can reduce customer trust by up to 60% and cause average financial losses of $3 million per incident. However, implementing comprehensive cybersecurity strategies, communication transparency, and rapid recovery can restore trust and enhance business resilience. The research emphasizes the importance of a holistic approach that integrates security technology, risk management, and crisis communication to build a sustainable and trusted e-business ecosystem.

The Human Resources (HR) is a key element in carrying out organizational operational activities. Quality HR can provide the best service to customers. The quality and competence of employees can be influenced by effective industrial relations management. This study aims to analyze the needs of human resources and industrial relations management at RSUD Bandung Kiwari. The research method used is qualitative analysis with a descriptive approach. The results of the study show that the analysis of human resource needs and industrial relations management are interrelated. The analysis of human resource needs aims to determine the quantity, qualifications, and competencies needed by the organization, while industrial relations management aims to create a conducive and harmonious work environment. The administrative human resource needs are measured by workload analysis. Industrial relations management for administrative employees at RSUD Bandung Kiwari is already conducive and harmonious, in accordance with the provisions in the employment agreement.

The purpose of this study is to describe the quality of service and menu variations on customer satisfaction in relation to visits and to know the influence of these three variables. This study used quantitative and causal approaches. This study used purposive sampling techniques of non-probability sampling type for sampling. This research instrument uses Google forms arranged based on Likert scales, first tested for validity and reliability. This data was analyzed using SPSS version 26.00. The survey results show that service quality is included in the fairly good category with the appropriate achievement level of 56.2%, menu variations with the appropriate achievement level of 59.8% are included in the fairly good category, and customer satisfaction. the level of achievement of respondents. 54% were in the appropriate category. The effect of service quality (X1) and menu selection (X2) on customer satisfaction (Y) was 28.2%, while the remaining 71.8% was influenced by other factors.

The operational department at PT. Baruna Mitra Segara Lines Bandar Lampung plays a crucial role in ensuring the timely departure of ships. This study examines how the department monitors ship departures to ensure they occur on time and follow established procedures. The research uses a qualitative case study approach, collecting data through observation and documentation. The findings show that active involvement from the operational department helps reduce technical and administrative issues that may delay departures. Improving human resources and operational systems is essential to guarantee smooth operations. The operational department is responsible for coordinating between departments, checking ship readiness, and monitoring schedules. The department's effectiveness significantly reduces delays and enhances customer satisfaction. The study also highlights that the accuracy of operational work impacts the efficiency, safety, and reliability of the shipping process. Strengthening the monitoring system and improving human resource quality are critical to optimizing the department’s role. However, challenges such as limited resources and outdated information systems need to be addressed to improve performance. This research aims to provide insights for PT. Baruna Mitra Segara Lines management to enhance the operational process of ship departures.

The Sambal ABC advertising campaign “Cap Cip Top – Icap Icip Ngetop ABC” in YouTube advertising content uses a character named Tejo. The Sambal ABC advertisement can strengthen the brand image and increase customer trust by including a character that fits the brand. Tejo is known as a housewife who cooks with passion, and the use of Sambal ABC in her kitchen reflects its quality and deliciousness. This study specifically discusses the ABC chili sauce advertisement “Cap Cip Top – Icap Icip Ngetop ABC” in YouTube advertising content using a character named Mrs. Tejo. This is because Tejo is known as a housewife who cooks with passion, and the use of Sambal ABC in her cooking reflects the quality and deliciousness of her product. Therefore, this advertisement can strengthen the brand image and increase customer trust. This study uses a quantitative approach and uses random sampling. This study targets Sambal ABC consumers who watch the YouTube advertisement “Sambal ABC: Cap Cip Top – Icap Icip Ngetop”. This survey involved 109 respondents who were all aware of the Sambal ABC YouTube advertisement, had consumed Sambal ABC products, and were also aware of the Sambal ABC advertising campaign. A total of 109 respondents were interviewed; however, only 100 met the specified criteria. Survey data was collected through an online survey using SmartPLS 3.0. The results showed that respondents trusted the Sambal ABC brand more due to the use of influencers in its advertisements. This was determined based on the content of the advertisements and who spoke first. Ibu Tejo's power was such that respondents felt close to her and believed she was close to them because they shared similarities with her in several aspects of influencer credibility, including interests. Respondents also found Ibu Tejo interesting because she was funny, engaging, interesting, and entertaining, and she was able to explain Sambal ABC very well.

This study aims to explore the implementation of unity-based marketing management in enhancing consumer loyalty among university students at the Seblak Bujangan culinary microenterprise. As one of the local SMEs located near Sultan Ageng Tirtayasa University, Seblak Bujangan integrates the value of unity—derived from the Third Principle of Pancasila—into its marketing strategy, not only to attract customers but also to create a social space that strengthens community bonds. The research employs a descriptive qualitative method involving interviews, observations, and documentation to gain a deep understanding of marketing practices and their social implications. Findings reveal that Seblak Bujangan has successfully transformed from a simple food stall into a social hub for students by combining friendly service, a comfortable atmosphere, and creative digital marketing such as Instagram and TikTok promotions. The sense of togetherness and inclusivity fosters strong emotional attachment, leading to customer loyalty manifested through repeat visits and positive word-of-mouth. The study concludes that marketing strategies grounded in social and national values can enhance consumer engagement while contributing to social harmony. This approach provides new insights into value-based marketing for SMEs, showing that economic and social functions can coexist to create sustainable consumer relationships.

This research aims to analyze GoPay user sentiments on the X social media platform (formerly known as Twitter) using the Naive Bayes Classifier algorithm. Sentiment analysis was conducted to understand user perceptions and satisfaction levels towards GoPay digital payment services based on their shared comments and reviews. Data was collected through a tweet crawling process containing the keyword "GoPay" within a specific period. The research stages included data preprocessing (case folding, tokenizing, filtering, and stemming), sentiment labeling (positive, negative), word weighting using TF-IDF, and classification using the Naive Bayes algorithm. The results showed that from a total of 1,431 analyzed tweets, 797 data contained positive sentiments, and 643 data contained negative sentiments. With a classification accuracy rate reaching 82.94%. The most frequently positively commented factors included ease of use and offered promotions, while the main complaints were related to technical issues and customer service. This research provides insights for GoPay developers to improve services according to user feedback.  

The development of Islamic banking plays a crucial role in driving economic growth through the principles of fair finance. However, the performance of Islamic banks still faces challenges in maintaining stable profitability. Two key factors often cited as determinants of performance are risk management and customer satisfaction. On the one hand, effective risk management is necessary to control problem financing, while on the other hand, customer satisfaction fosters loyalty and funding stability. However, the existing literature tends to examine these two aspects separately, thus lacking a complete picture of their integrative relationship with profitability. This study, a systematic literature review (SLR), aims to analyze the relationship between risk management, customer satisfaction, and profitability of Islamic banks, as well as their implications for economic growth. The review process adopted the PRISMA 2020 protocol, encompassing academic publications from 2015–2025 from various databases. Article selection was conducted using strict inclusion and exclusion criteria, ensuring that only relevant studies were further analyzed. The study's findings demonstrate two key pillars supporting Islamic banking performance: effective risk management—particularly in controlling problem financing—and a high level of customer satisfaction, which supports loyalty and the stability of third-party funds. However, the findings also indicate a methodological gap. The literature rarely develops models that examine the simultaneous influence of risk management and customer satisfaction on profitability. Furthermore, the limitations of qualitative research and the weaknesses of customer satisfaction measurement instruments hinder a more comprehensive understanding. In conclusion, this study emphasizes the importance of developing a more integrative theory of Islamic banking performance. Future managerial strategies should emphasize the harmonization of risk management and service orientation, so that Islamic banks not only maintain profitability but also contribute more significantly to economic growth.

Currently, the use of data mining technology has become essential in enhancing business management efficiency, including in the trending coffee shop industry. Data mining allows business owners to analyze sales information in depth, enabling more accurate decision-making regarding inventory management, promotions, and sales strategies. This study aims to implement the Apriori algorithm to analyze sales data at Menrabic Coffee Shop. The Apriori algorithm is used to discover association patterns or relationships between products frequently purchased together by customers, which can assist management in providing inventory that aligns with customer preferences. The research method illustrates the detailed implementation process of the Apriori algorithm, starting from sales data collection, data cleaning, programming, and analysis of the results. The implementation uses web programming languages such as HTML, CSS, MySQL, and JavaScript, while back-end logic is programmed with PHP. The results of applying this algorithm reveal the most popular sales patterns among customers, providing valuable insights for management to improve operational performance and customer satisfaction. Therefore, this study demonstrates that applying data mining with the Apriori algorithm can be an effective tool for understanding consumer behavior and supporting data-driven decision-making at Menrabic Coffee Shop. By utilizing these insights, management can optimize inventory, enhance sales strategies, and ultimately increase overall business efficiency.

Corporate Communication helps companies build trust and loyalty by conveying consistent and transparent messages to the public. The main objective of Corporate Communication is to build and maintain a positive image of the company and ensure that the messages conveyed are consistent and support the company's strategic objectives. Through transparent and honest communication, companies can increase the trust and loyalty of customers and other stakeholders. This study aims to analyze the role of Corporate Communication in handling the communication crisis that occurred at PT ASDP Indonesia Ferry (Persero), particularly during the traffic congestion at Merak Port during the 2024 Eid al-Fitr transportation period. This research uses a qualitative approach with a case study method. Data collection techniques were carried out through observation, in-depth interviews with four key informants from the Corporate Communication Division, and documentation. The results of the study show that ASDP's Corporate Communication plays a leading role in conveying information, building an accurate narrative, and maintaining the company's reputation during a crisis. The main challenges faced include limited time to respond to crises (the golden hour), conflicting information on social media, and a lack of internal coordination. The strategies implemented include the rapid, decisive, empathetic, and open dissemination of information based on the principles of effective crisis communication. This study emphasizes the importance of structured and adaptive corporate communication in dealing with public pressure to build trust and maintain the institution's image.