Abstract:Production optimization is a key to increasing efficiency and profitability, especially in businesses such as UD. Tahu Nias in Hiligodu Ombolata Village, Gunungsitoli City, which operates in the tofu production sector. This…
his research is motivated by the production challenges faced by the company, such as limited equipment, late raw material supplies, and an unskilled workforce, which impact the inefficiency of the production process and decrease the level of profitability. The method used in this study is a qualitative descriptive approach with data collection techniques through interviews, observation, and documentation. Informants consisted of the owner, production employees, and other support staff. The results of the study indicate that the production process at UD. Tahu Nias still has manual stages with limited use of machines, especially only at the soybean milling stage. The main obstacles in optimizing production include late raw material supplies, the lack of technology and training for employees. However, the company has made several efforts such as strategic raw material management and efficient division of labor among employees. The conclusion of this study is that production optimization at UD. Nias tofu can be improved through the use of advanced equipment in more modern production facilities, employee skills development through training, and improved production and distribution planning. By implementing these strategies, the company has the potential to sustainably increase operational efficiency and profitability.
Abstract:This study aims to improve the internal capacity of Malabar MSMEs in managing digital marketing through an internal training program designed based on the SMART Framework approach. The main problem faced by Malabar is the…
e lack of staff understanding in managing social media, especially Instagram, which impacts weak brand awareness and brand identity. This study uses a descriptive qualitative approach with a project-based learning method, in which researchers are actively involved in the planning, implementation, and evaluation of the training program. Data were collected through participant observation, semi-structured interviews, and documentation during the training process. The training objectives were formulated specifically, measurable, achievable, relevant, and time-limited, in accordance with the SMART principles. The results showed a significant increase in staff understanding of content planning, creating visual materials consistent with brand identity, and using Instagram analytics features. The post-test showed an increase in the average score of participants, and the MSMEs' digital activities became more structured. These findings indicate that internal training designed with the SMART approach is effective in building staff digital competencies and supporting brand image strengthening on social media. Overall, this study shows that improving internal digital literacy is a strategic step that can strengthen the competitiveness of MSMEs in the ever-evolving digital ecosystem
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:Micro, small, and medium enterprises (MSMEs) in developing countries like Indonesia are highly vulnerable to financial risks yet often lack formal risk-management practices, relying instead on personal experience, intuition,…
ion, and culturally rooted local practices to navigate financial uncertainty. This study aimed to identify MSME owners' perceptions of financial risks, explore informal mitigation strategies based on local experience and community practices, analyze the influence of cultural norms and social networks, and propose a contextually grounded problem-solving framework. Employing a qualitative research design, the study used in-depth semi-structured interviews, direct observations, and document analysis with MSME owners, and analyzed the data using thematic analysis and triangulation to ensure credibility. The results revealed three primary financial risk-mitigation strategies: adaptive cash-flow management, reliance on social capital and local economic networks, and experiential diversification driven by local market knowledge. The findings demonstrate that MSMEs develop resilience through culturally embedded practices and social structures, confirming that interventions should leverage existing informal mechanisms and integrate culturally compatible tools rather than imposing rigid formal frameworks.
Abstract:This study aims to analyze the effects of competence, reward systems, and training on the performance of executive officers in Sharia Rural Banks (BPRS), with job satisfaction as an intervening variable. The primary focus…
s is to assess the extent to which these factors influence executive performance within the context of Islamic microfinance institutions. Employing a quantitative, explanatory design, primary data were collected via a Likert-scale questionnaire and analyzed using structural equation modeling–partial least squares (SEM–PLS) with SmartPLS. The study population consists of executive officers of BPRS in Indonesia. Using purposive sampling, 121 responses were obtained from multiple BPRS across several regions. The results show that (1) competence has a positive effect on performance; (2) job satisfaction positively affects performance; (3) the reward system influences performance primarily through job satisfaction (partial/competitive mediation), while its direct effect on performance tends to be negative; and (4) training does not exhibit a significant effect on performance, and its indirect path via job satisfaction is not significant. These findings highlight the importance of strengthening competence and redesigning reward systems in alignment with executive expectations to enhance job satisfaction and performance.
Abstract:Customer loyalty is an important aspect in maintaining the sustainability of BPRS amidst the increasingly tight competition in the Islamic financial industry. The objectives of this study are to analyze: (1) the influence…
e of the marketing mix on customer loyalty, (2) the influence of relationship marketing on customer loyalty, (3) customer satisfaction mediates the influence of the marketing mix on customer loyalty, and (4) customer satisfaction mediates the influence of relationship marketing on customer loyalty. The sample of this study was 130 (one hundred and thirty) active customers of BPRS Botani Bina Rahmah Bogor, selected through a purposive sampling method with the criteria of having been a customer for at least six months. Primary data was collected through questionnaires, while analysis was conducted using the Partial Least Square (PLS) method with SmartPLS software version 4.0. The results of the study concluded that: (1) the marketing mix does not have a significant effect on customer loyalty, (2) relationship marketing has a significant positive effect on customer loyalty, (3) customer satisfaction is proven to mediate the effect of the marketing mix on customer loyalty, and (4) customer satisfaction also mediates the effect of relationship marketing on customer loyalty.
Abstract:Micro, Small, and Medium Enterprises (MSMEs) play a vital role in Indonesia's economy, yet many face challenges such as limited capital, inadequate financial literacy, and restricted access to financial services, which hinder…
inder their growth and competitiveness. This study aims to analyze the influence of financial literacy and financial inclusion on MSME performance in Kediri City, focusing on entrepreneurs who received government capital assistance in 2024. Using a quantitative approach, data were collected from 100 MSME owners through purposive sampling, with questionnaires as the primary instrument. Statistical analyses, including multiple linear regression, t-tests, F-tests, and classical assumption tests, were conducted using SPSS 24. The results reveal that both financial literacy and financial inclusion have positive and significant effects on MSME performance, with the two variables jointly explaining 71% of performance variation. These findings indicate that improving financial knowledge and expanding access to financial services can substantially enhance MSME productivity, competitiveness, and sustainability. The study highlights the importance of targeted financial education and inclusive financial policies to strengthen the resilience and long-term growth of MSMEs in regional economies
Abstract:Digital transformation at Islamic Rural Banks demands governance that is accountable, secure, and aligned with sharia principles. This study aims to map digital governance practices and formulate prerequisites for safe,…
compliant, and value-oriented implementation. Using a qualitative phenomenological approach and adopting an active participatory method, data were collected through in-depth interviews, document reviews, and observations with purposive sampling (management, DPS, IT/cybersecurity units, and customers). The analysis refers to the Miles & Huberman model (data reduction–data presentation–conclusion drawing); validity is maintained through source triangulation, member checking, and audit trails. The findings consolidate five key domains: (1) the role of DPS in digital decisions and ongoing supervision, (2) human resource capabilities and risk culture, (3) IT & cybersecurity architecture (data protection, incident response, business continuity), (4) risk management–compliance (synchronization of OJK–DSN–MUI guidelines), and (5) digital customer literacy and experience. The theoretical contribution integrates the Institutional, Accountability, and TAM/UTAUT perspectives to explain the drivers and barriers to adoption. Practically, a risk-based digital governance roadmap is developed that prioritizes cybersecurity governance, strengthening the role of the DPS through digital oversight, and data governance policies.
Abstract:This study aims to analyze the influence of financial literacy on financial behavior and financial management in Micro, Small, and Medium Enterprises (MSMEs) in Pasar Village, Gunungsitoli District. The background of the…
study indicates that MSMEs have a crucial role in the Indonesian economy, but many MSMEs still face challenges in financial management due to a lack of financial literacy. This study used a quantitative approach by distributing questionnaires to 158 MSMEs in the area. The results of the analysis indicate that financial literacy has a positive and significant influence on both financial behavior and financial management of MSMEs. MSMEs with higher levels of financial literacy tend to exhibit healthier financial behaviors, such as the ability to manage expenses, create budgets, and save. Similarly, good financial literacy significantly improves MSMEs' abilities in planning, recording, reporting, and evaluating business finances. Multivariate analysis confirmed that financial literacy simultaneously significantly influences both aspects. The high coefficient of determination (80.7% for financial behavior and 83.7% for financial management) indicates that financial literacy is a dominant factor in explaining variation in both dependent variables.
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.