Yayasan Riset dan Pengembangan Intelektual (YRPI) Journal
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Blockchain-Enhanced Framework for Ensuring Data Consistency, Transparency and Privacy in Cloud Computing
No full textImpulse buying on marketplace applications: shopping patterns of Tiktok Shop consumers TiktokShop
No full textThis study aims to analyze the influence of Fear of Missing Out (FOMO) and storytelling marketing on purchase decision in the TikTokShop platform, with impulse buying as a mediating variable. A quantitative approach was employed by distributing questionnaires to 300 respondents in the Madiun Residency areaespecially Ponorogo Regency and Pacitan Regency , selected through purposive sampling. Data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The results reveal that FOMO and storytelling marketing have a significant positive effect on impulse buying, which subsequently mediates consumer purchase decisions. These findings strengthen previous literature emphasizing the role of psychological factors and narrative-based marketing strategies in driving consumer behavior within the digital commerce era. From a practical perspective, this study provides implications for businesses to optimize digital marketing strategies by leveraging psychological urgency (FOMO) and persuasive narratives to enhance promotional effectiveness and foster customer loyalty in social media-based e-commerce ecosystems
Development Inequality Between Regencies/Cities and Its Impact on Population Migration within the Province of West Nusa Tenggara Period 2020–2024
No full textThis research examines the influence of development inequality between districts/cities on population migration in West Nusa Tenggara Province (NTB) in 2020–2024. Using a panel data approach and the Fixed Effect Model (FEM) method, The present research examines six independent variables, Gross Regional Domestic Product (GDP) per capita, poverty rate, education level, infrastructure, open unemployment rate, and Human Development Index (HDI), on inward migration as dependent variables. Empirical results based on the Fixed Effect Model estimate show that partially, the variables of infrastructure, unemployment, and HDI have a significant effect on inward migration, while other variables do not. Simultaneously, all independent variables had a significant effect with an adjusted R² value of 70.11%, indicating that the model has a strong ability to explain interregional migration. Based on these results, this study recommends equitable development policies through poverty alleviation based on local empowerment, improving the quality of infrastructure and education, and creating productive jobs to reduce inequality and control unbalanced migration flows between regions
Enhancing Managerial Decision-Making Quality through Activity-Based Costing: An Economic Perspective
No full textThis study aims to analyse the contribution of Activity-Based Costing (ABC) to improving the quality of managerial decision-making, particularly within the manufacturing and service sectors. A systematic literature review (SLR) approach was employed, drawing data from databases such as Scopus, ScienceDirect, and Google Scholar, and focusing on publications from 2018 to 2025. Through a gradual selection process, 23 relevant articles were identified. The findings indicate that ABC effectively reduces cost distortions—such as under costing by up to 491%—enhances operational efficiency, and supports strategic decisions in areas such as pricing and cost control, leading to profitability improvements of up to 20–30% across various sectors. The study suggests that governments should support ABC adoption in small and medium-sized enterprises (SMEs) through subsidy policies and digitalisation initiatives. For businesses, the implementation of ABC can foster competitiveness and innovation, thereby strengthening the local economy through more accurate and data-driven decision-making. This research contributes new insights by integrating ABC into the context of Industry 4.0, highlighting the potential of technologies such as artificial intelligence (AI) to address traditional challenges, including resistance to change and reliance on manual data processing
The Role of Human Capital Development in Enhancing Employee Performance: An Economic Perspective on Training, Remuneration, and Teamwork
No full textThis research investigates how training, compensation, and teamwork impact employee performance at PT Dan Liris. Adopting a quantitative method within a positivist framework, the study surveyed permanent employees with at least six months of tenure across various departments, including production, quality control, maintenance, human resources, and administration. Data were gathered using a structured questionnaire based on a five-point Likert scale and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings reveal that training, compensation, and teamwork all exert a significant positive effect on employee performance. Well-designed training programs enhance employees’ skills, knowledge, and adaptability, while equitable and competitive compensation boosts motivation and productivity. Additionally, effective teamwork underpinned by strong communication and collaboration promotes efficiency and collective accountability in meeting organizational objectives. The results indicate that the proposed model explains 64.8% of the variance in employee performance, demonstrating robust predictive capability. The study recommends that PT Dan Liris consistently improve training programs, uphold fair compensation practices, and foster a collaborative teamwork culture to optimize overall employee performance
Analysis of the Influence of Liquidity, Profitability, Solvency, and Company Size on Company Value
No full textThis study investigates the influence of liquidity, profitability, solvency, and firm size on firm value among consumer non-cyclical companies listed on the Indonesia Stock Exchange in 2024. Employing a quantitative causal-associative research design and purposive sampling, the analysis focuses on firms with complete financial disclosures and publicly available market data. The study utilizes secondary data obtained from company financial reports and the Indonesia Stock Exchange database. Liquidity is measured by the Current Ratio (CR), profitability by Return on Assets (ROA) and Return on Equity (ROE), solvency by the Debt to Equity Ratio (DER), firm size by the natural logarithm of total assets, and firm value by Tobin’s Q. Descriptive statistics, diagnostic tests, and multiple linear regression analyses were conducted. The findings indicate that liquidity has a significant negative effect on firm value, while profitability has a significant positive effect. Solvency demonstrates a negative but statistically insignificant effect, and firm size exhibits a significant negative relationship with firm value. Collectively, these four variables explain a significant but limited proportion of the variance in firm value, suggesting that additional internal and external factors may also influence corporate performance
The Impact of Digitalisation and Information Technology on the Audit Process and Auditor Decision-Making
No full textDevelopments in digitalisation and information technology have changed the perspective on the auditing profession, shifting from traditional manual practices to integrated technology in auditing. The purpose of this study is to analyse in depth how technologies such as Artificial Intelligence (AI), Big Data Analysis, Blockchain, Robotic Process Automation (RPA), and Enterprise Resource Planning (ERP) influence audit procedures and decision-making by auditors. Using a descriptive and exploratory literature review approach, this study combines the latest empirical and conceptual findings for the period 2021 to 2025. The results show that digitalisation improves efficiency, accuracy, and transparency in auditing through process automation and large-scale data analysis. The use of AI and RPA allows auditors to focus more on strategic analysis and risk assessment, while blockchain improves the reliability of audit evidence by recording immutable transactions. However, this transformation also brings challenges such as a lack of digital competence among auditors, the risk of dependence on automated systems, and ethical and cybersecurity issues. Therefore, success in digital auditing depends not only on the use of technology, but also on good digital literacy, ready infrastructure, and effective ethical governance. This study contributes theoretically to the understanding of the relationship between digitisation and auditor decision-making, and points the way for future research on the impact of technology on auditor independence and professionalism in the digital age
What Keeps Visitors Coming Back? Factors Shaping Revisit Intention
No full textHealthy individuals have a greater capacity to work productively and creatively, which will impact the quality of human resources. This study examines factors that can influence revisit intention, exercise adherence, and word of mouth among members of a clubhouse in Tangerang. The study was conducted quantitatively on 227 respondents who are members of KYZN Clubhouse using a purposive sampling technique. The results show that service quality, service convenience, and exercise satisfaction are factors that can influence word of mouth intention, as well as service quality and exercise satisfaction that can influence revisit intention, and service convenience and exercise satisfaction can influence exercise adherence. It is recommended that companies can pay attention to these three aspects, especially service quality, because it is the most important factor in influencing members' revisit intention
Household Characteristics and Poverty Line Assessment in Rural Communities
No full textThis study aims to analyze the characteristics of poor households and measure the poverty line, poverty level, depth of poverty, and severity of poverty in Lumbudolo Village, Central Banawa District, Donggala Regency. The study also examines the influence of socio-economic factors and livelihood assets on poverty status based on the Sustainable Livelihood Framework (SLF). A mixed-methods approach was applied through a survey of 51 household heads, in-depth interviews, and focus group discussions. Data were analyzed using descriptive statistics, poverty indicators (P0, P1, P2), the Gini Ratio, and logistic regression. The results show that most poor households are headed by elderly individuals with low levels of education and are primarily employed in the agricultural and informal labor sectors. Average household income ranges from IDR 250,000 to IDR 500,000 per month, with expenditures dominated by food consumption. Lumbudolo Village exhibits moderate income inequality (Gini Ratio = 0.549), and nearly half of its households fall below the poverty line. The P1 and P2 values indicate substantial depth and severity of poverty. Logistic regression analysis reveals that human, financial, and physical capital significantly influence the likelihood of households experiencing poverty, whereas basic socio-economic characteristics show limited effects. These findings emphasize that poverty is multidimensional, requiring development interventions that prioritize improvements in human resource quality, access to financial capital, and basic infrastructure to strengthen household resilience and reduce poverty sustainably
Systematic Literature Review on the Influence of Religiosity on Investment Decisions and the Mediating Roles of Norms-Moral, and Prudence Risk
No full textThis study explores the impact of religiosity on investment preferences, focusing on direct effects and mediation through moral norms and precautionary risk. A systematic literature review (SLR) was conducted using the PRISMA protocol, analyzing studies published between 2009 and 2025. The review demonstrates that religiosity significantly influences investment decisions through these two mechanisms. Moral norms play a crucial role in shaping investment choices, particularly for religiously driven investors, while precautionary risk leads more religious individuals to prefer safer investment options. Additionally, the study identifies key theories commonly employed in the literature, such as Social Identity Theory and Theory of Planned Behavior (TPB), while also highlighting underexplored theories that could further enhance understanding of how religiosity impacts investment behavior. These gaps suggest opportunities for future research to apply these theories, especially in contexts like Islamic finance or emerging markets, to deepen the understanding of the relationship between religiosity and investment preferences