Abstract:Household food security remains a critical challenge for many millennial families, particularly in urban areas where rising food prices, unstable household income, and changing consumption patterns increase financial vulnerability.…
nerability. While previous studies have primarily emphasized economic factors, limited attention has been given to the combined roles of financial literacy and self-control in strengthening household food security. This study aims to examine the effects of financial literacy and self-control on household food security among millennial families in Mattoangin Village, Makassar City. A quantitative research design was employed using a survey of 180 millennial households selected through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that financial literacy has a positive and significant effect on household food security by improving financial planning and resource allocation. Self-control also exerts a significant positive influence by promoting disciplined spending behavior and reducing impulsive consumption. Furthermore, financial literacy and self-control jointly explain a substantial proportion of household food security. These findings highlight that both financial knowledge and behavioral discipline are essential for enhancing household resilience. The study recommends strengthening community-based financial education and behavioral intervention programs to promote sustainable household food security among urban millennial families.
Abstract:This study examines service quality and social media marketing activities as determinants of revisit intention, with customer satisfaction as an intervening variable at Flui Restaurant & Cafe Bogor. The research was motivated…
vated by the decline in customer visits despite the restaurant’s strategic location, unique waterfall concept, and active social media promotion. A quantitative explanatory approach was applied using a cross-sectional survey of 400 customers who had visited Flui Restaurant & Cafe Bogor. Data were collected through a structured questionnaire using a five-point Likert scale and analyzed using Structural Equation Modeling with LISREL 8.80. The results show that service quality has a positive and significant effect on customer satisfaction and revisit intention. Social media marketing activities also have a positive and significant effect on customer satisfaction and revisit intention. Furthermore, customer satisfaction significantly influences revisit intention and partially mediates the relationship between service quality and revisit intention, as well as between social media marketing activities and revisit intention. These findings indicate that increasing revisit intention requires an integrated strategy involving consistent service quality, interactive social media marketing, and customer satisfaction improvement
Abstract:The increasing development of cluster property in Bogor Regency has intensified competition among developers, particularly in attracting millennial consumers who are more critical, rational, and digitally informed in making…
ing housing purchase decisions. This study aims to analyze the mediating role of brand image in the influence of product quality, price, and location on millennial cluster property purchase decisions in Bogor Regency. A quantitative approach was employed using a descriptive and verificative research design. Data were collected through questionnaires distributed to 220 millennial consumers who had experience purchasing or were directly involved in purchasing cluster property in Bogor Regency. The research instrument was measured using a five-point Likert scale and analyzed using structural equation modeling to test direct and indirect effects. The results show that product quality, price, and location have positive and significant effects on brand image. Product quality, price, location, and brand image also have positive and significant effects on purchase decision. Furthermore, brand image partially mediates the effects of product quality, price, and location on purchase decision. These findings indicate that millennial property purchase decisions are shaped by both rational property attributes and psychological trust in developer reputation.
Abstract:This study aims to analyze the product differentiation strategy implemented by Nhanas Donuts Pinrang in facing culinary business competition in the millennial and Gen Z era. The research method used is descriptive qualitative…
ative with data collection techniques through interviews, observation, and documentation. Informants consisted of the owner, production and service employees, as well as millennial and Gen Z consumers. The results showed that the product differentiation strategy applied includes four main aspects: flavor innovation with contemporary variants (matcha cheese, red velvet crumble, cookies and cream), attractive and "instagrammable" visual display, aesthetic and modern packaging design, as well as active digital marketing through Instagram, Facebook, and TikTok. Supporting factors for the success of differentiation include the owner's creativity, understanding of young consumer behavior, strategic location, and digital branding. The implications of this study indicate that product differentiation integrated with digital marketing is able to increase competitiveness and customer loyalty of local culinary Micro, Small, and Medium Enterprises in the digital era.
Abstract:This study aims to describe the following variables: (1) digital technology adoption, (2) business resilience, (3) women’s empowerment, and (4) financial literacy, and to analyze the effect of digital technology adoption…
on on business resilience mediated by women’s empowerment and moderated by financial literacy. The research employed a quantitative explanatory design with structural model analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected through an online questionnaire (Google Form). The population consisted of 1,556 women entrepreneurs who own Micro and Small Industry (MSI) units in the food subsector, with 359 respondents selected using proportionate allocation sampling and located in Tasikmalaya, Sukabumi, Bogor, and Bandung. The findings indicate that the level of digital technology adoption among women entrepreneurs is in the very high category, while business resilience, women’s empowerment, and financial literacy are in the high category with potential for further improvement. Digital technology adoption has a positive effect on business resilience and women’s empowerment, implying that higher levels of technology adoption are associated with stronger business resilience and greater women’s empowerment. Women’s empowerment also positively affects business resilience and mediates the relationship between digital technology adoption and business resilience. In addition, higher financial literacy strengthens the effect of digital technology adoption on business resilience, thus functioning as an enhancing moderator in this relationship. The results imply that strengthening business resilience among women entrepreneurs can be achieved by enhancing digital technology–based resources and strategies, integrated with women’s empowerment as a mediating mechanism and financial literacy as a moderating capability for the strategic use of digital technology. Practically, the findings underscore the importance of advanced training programs and an integrated digital ecosystem to reinforce digital technology adoption, women’s empowerment, and financial literacy, while simultaneously building a collaborative ecosystem and continuous interventions focused on sustainable business resilience.
Abstract:This paper uses Time-Driven Activity-Based Costing (TDABC) in identifying cost per student, program profitability, and breakeven point across programs and branches at PT Kreasi Edulab Indonesia as it seek to solve the cost…
st allocation issues that arise due to the differences in instructional hours, staffing activity, and resource usage in providing educational services. The study will employ a quantitative methodology in which they will formulate TDABC-based cost modelling and simulating models to assign operational costs to the real instructional time and teaching capacity. Primary data were gathered by direct observation and internal cost structure mapping, whereas the secondary data were in the form of financial records, class schedules, and student enrollment reports. The analysis combines descriptive statistics, TDABC simulations, program profitability analysis, breakeven analysis, and sensitivity analysis to measure the cost per student, program level operating performance, minimum viable class sizes, and how the major financial drivers influence the operating profit. The findings indicate significant differences in cost per student and profitability of programs and size of a branch with some branches having lower levels of profitability below sustainable levels of breakeven despite the similar levels of revenues. The sensitivity analysis shows that average revenue per student is the most sensitive variable of operating profit, over and above the fluctuations in the enrolment volume and cost structure. Altogether, the results indicate that TDABC contributes to the increase of cost transparency and offers a solid foundation to the pricing, class consolidation, and operational decision-making.
Abstract:This study examines the development of creative industry-based Micro, Small, and Medium Enterprises (MSMEs) in Ulunoyo District, South Nias Regency, with a focus on four main sectors: culinary, crafts, fashion, and music.…
. The purpose of this study is to describe the condition of creative MSMEs in Ulunoyo, identify the obstacles faced, and analyze the development strategies implemented by business actors to increase competitiveness. The method used is descriptive qualitative with data collection techniques through interviews, field observations, and documentation of 21 MSME actors in five villages. Data analysis was carried out through reduction, presentation, and verification of findings. The results show that the development of creative MSMEs in Ulunoyo is supported by the potential of community creativity, strategic location, and the existence of traditional markets as distribution centers. Development strategies include improving product quality, business diversification, design innovation, and the use of digital technology for promotion and marketing. However, a number of major obstacles are still encountered, including limited business capital, rising raw material prices, low managerial skills, lack of product innovation, limited market access, and high levels of competition. To overcome these obstacles, business actors carry out creative promotions, expand their collaboration networks, and utilize social media to reach a wider consumer base.
Abstract:This research is motivated by the phenomenon of cafe business competition in Gunungsitoli City, which demands effective marketing strategies, particularly in the utilization of promotional mixes and business location selection.…
ection. The purpose of the study is to analyze how promotional mixes and location aspects play a role in increasing sales at Murai Coffee Gunungsitoli. The research method used is a qualitative approach with data collection techniques through interviews, observation, and documentation. The research informants consisted of the owner, employees, and customers of Murai Coffee. Data were analyzed using the Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing. The results show that Murai Coffee has implemented promotional strategies such as simple advertising, sales promotions, personal selling, public relations, and direct marketing that gradually increase customer interest. Meanwhile, the location factor, although not located in the city center, still provides sales opportunities through a comfortable atmosphere and quality service. However, challenges are still found in the comfort aspect, such as noise from outside and hot room temperatures, so that improvements to supporting facilities are needed. This research is useful for Murai Coffee in designing more optimal promotional strategies and location arrangements, for Nias University as a contribution to the development of marketing science, and as a reference for future researchers who want to study marketing strategies in the culinary sector.
Abstract:This study addresses the limitations of traditional Customer Relationship Management (CRM) systems by analyzing the adoption and impact of Artificial Intelligence (AI) integration (AI-Powered CRM). Informed by the Technology…
logy Acceptance Model (TAM) for employee perception and the Resource-Based View (RBV) for strategic capability, the primary objective is to evaluate how AI-driven automation enhances customer service processes and, subsequently, impacts marketing efficiency. The research employs an exploratory qualitative case study design, utilizing in-depth interviews, document analysis, and system observation on a single organization to gather rich, contextual data. The results demonstrate that AI integration significantly accelerated service, with chatbots handling 65–70% of routine queries and drastically reducing response times. Operationally, these improvements fostered high employee acceptance (TAM). Strategically, the AI-Powered CRM generated refined predictive analytics, resulting in a 12–18% improvement in campaign conversion rates and efficient resource allocation, confirming that AI creates a valuable and difficult-to-imitate strategic capability (RBV). The study concludes that AI-Powered CRM is a critical enabler for both operational efficiency and long-term strategic competitiveness in digital markets.
Abstract:In recent years, the housing market has faced significant challenges, including fluctuating prices and declining sales. To solve this issue, there was an increasing need for more sophisticated methods to predict housing…
prices accurately. This study aimed to provide real estate marketers with a tool to enhance their pricing tactics and mitigate the decline in home sales by predicting house prices using machine learning techniques. Several parameters were considered in this study, such as location, number of bedrooms, number of bathrooms, land area, building area, and number of carports. Linear regression and neural network methods were used to develop predictive models. The findings showed that the neural network method was more accurate than linear regression, which made it a better tool for real estate pricing strategies, with land area and number of carports being the most influential aspects in house price prediction.