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The Influence of Financial Literacy and Financial Inclusion on The Performance of Msmes in Kediri City

Putra, Dika Dimas, Rahmadi, Afif Nur, Lidiawan, Angga Rizka
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

Implications of Digitalization on Governance at Islamic People's Bank

Yulianti, Neneng Ina, Yuhertiana, Indrawati, Sundari , Siti
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.

Data Driven Marketing in Real Estate: Forecasting House Prices and Uncovering Influential Factors

Prabadianti, Intania, Samidi
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.

From Justice To Jazz: Exploring The Improvisational Flow Of Support And Citizenship Behaviour In The Hospitality Industry

Dipoatmodjo, Tenri Sayu Puspitaningsih, Ruma, Zainal, Hamka, Rezky Amalia, Angreyani, Andi Dewi, Arif, Hery Maulana
Abstract: This study aims to analyze the effect of Procedural Justice on Organizational Citizenship Behaviour (OCB) through Perceived Organizational Support (POS) among hotel employees in Makassar City. The research is motivated by… y the declining extra-role behaviors of employees, which affect service quality, allegedly driven by perceived procedural injustice and low organizational support. Using a quantitative approach and Partial Least Squares Structural Equation Modeling (PLS-SEM), data were collected through questionnaires from employees of three- to five-star hotels. The results reveal that Procedural Justice has a positive and significant effect on both POS and OCB, directly and indirectly. Moreover, POS functions as both a mediator and a moderator, strengthening the relationship between procedural justice and OCB. The R² and Q² values indicate a high explanatory and predictive relevance, while the Goodness of Fit Index confirms the empirical adequacy of the model. These findings support the Social Exchange Theory (Blau, 1964) and Organizational Support Theory (Eisenberger et al., 1986), asserting that fairness and organizational support foster reciprocal relationships that motivate employees to engage in voluntary, extra-role behaviors. This study contributes theoretically by extending the application of social exchange theory within the hospitality context and provides practical implications for hotel management to enhance procedural justice and organizational support as strategies to improve employees’ organizational citizenship behaviour.

Beyond Cost Control: How AI-Powered Spend Orchestration Unlocks 7.3% Growth Premiums in 2025

Dzreke, Simon Suwanzy
Abstract: In an uncertain economic climate, a large global retailer used AI-powered spend intelligence to move $220 million from indirect operational costs toward high-impact R&D. In a difficult recession, this decisive step boosted… ed revenue by 11%, demonstrating the transformative impact of effective capital management. This achievement contrasts with "spend blindness," where industry studies show most financial leaders struggle to link expenditure patterns to strategic growth outcomes and resort to reactive cost-cutting. This study addresses this crucial gap. A thorough mixed-methods approach including a global survey of 400 CFOs, longitudinal case studies of ten multinational organizations, and advanced predictive modeling substantiated a new paradigm. Research shows that companies that understand AI-driven spend orchestration develop 7.3% faster than competitors. This premium comes from a 37% improvement in the Growth Efficiency Ratio (GER), a critical statistic for translating savings into innovation, and 5.8 times more strategic investment opportunities than standard financial approaches allow. The Spend Intelligence Quotient (SIQ), a groundbreaking statistic that assesses financial agility through integrated spend monitoring, predictive analytics, and rapid capital reallocation, is key to this advantage. This paper introduces the empirically based Spend Orchestration Framework and the requirements for the 2025 AI Finance Stack to obtain SIQ >80, the empirically proven threshold for sustainable competitive advantage. The message is clear: finance chiefs must go beyond oversight. Today's CFO may use predictive contracting and algorithmic governance to turn spend data into strategic leverage, ensure resilience, and capture disproportionate value in.

Beyond The Hype: a Real World Evaluation of Blockchain's Role in Democratizing Agri Food Systems

Dzreke, Simon Suwanzy
Abstract: Blockchain technology is touted for democratizing supply chains, but 30–40% of smallholder farmers are excluded from fair market participation due to information gaps and power imbalances. The first complete empirical examination… examination of blockchain's capacity to empower disadvantaged farmers in Global South agri-food systems. The paper examines 15 large-scale implementations, including Kenyan coffee cooperatives and Indian dairy collectives, using a rigorous mixed-methods methodology. Technical scalability in resource-limited situations, governance structures that promote meaningful multi-stakeholder engagement, and quantifiable inclusion results for small-scale farmers are thoroughly examined. Comparative case study, agent-based adoption modeling, and quasi-experimental effect evaluation by Propensity Score matching reveal that blockchain's potential is not automatic nor inherent in eight nations. Techno-institutional synergy, not technological complexity, improves democracy, the research shows. Hybrid governance systems with farmer-controlled validator nodes and tokenized decision-making rights enhanced smallholder involvement by 58% and premium retention by 78% over corporate-controlled systems. However, technologically sophisticated deployments without institutional expertise frequently increase power concentration and exclusion. The blockchain viability index helps identify optimal deployment conditions for different commodities, empirical evidence challenges the idea that decentralization automatically promotes inclusion, and the inclusion-by-design framework helps policymakers embed equitable principles into decentralized agri-tech from the start. This study shows food system digitization practitioners and scholars that genuine democratization occurs when technology drives institutional transformation.

Bridging The Digital-Physical Divide: Transfer Learning For Unified Threat Correlation in Converged IT/OT/IOT Ecosystems

Dzreke, Simon Suwanzy
Abstract: The increased integration of operational technology (OT), Internet of Things (IoT), and business IT systems has allowed sophisticated attackers to circumvent isolated security features and launch cross-platform assaults.… Current fragmented techniques, with discrete detectors monitoring Modbus, Kubernetes, MQTT, or other domain-specific protocols, cannot handle cross-system risks. These methodologies overlook 68% of multi-vector marketing that uses both physical and digital channels. This study introduces a transfer learning architecture to integrate detection capabilities by correlating threats across protocols, devices, and settings. The architecture generates a unified feature space that extracts behavioral semantics from industrial control system logs, cloud telemetry, network traffic, and device-level signals to produce protocol-agnostic threat representations. Adversarial domain adaptation and semantic graph embeddings enable cross-domain knowledge transfer with minimum retraining. Security teams may now discover kill chains like infected cloud containers preceding illegal PLC command execution every 23 minutes. Validated against real-world attack datasets from water treatment facilities (OT) and cloud infrastructure (IT), the system achieved 93.4% cross-platform attack recall, a 41.3 percentage point improvement over prior methodologies. It reduced OT data labeling by 89% and false positives by 93.5%. This paradigm shift transforms threat correlation from a reactive, domain-specific process to adaptive intelligence, boosting resilience for critical infrastructure, industrial ecosystems, and smart environments facing cyber-physical hazards. The framework's practical validation in energy, industry, and vital infrastructure shows its importance in protecting an increasingly linked world.

Indonesia's Social Enterprise: Policy Challenges and Support Needs

Sebastian Billy Anggara, Irma Tsuraya Choirinnida
Abstract: This research investigates the policy landscape surrounding social entrepreneurship in Indonesia, encompassing legal and regulatory frameworks, government initiatives, and institutional support for social enterprises. The… e study is crucial as it addresses an understudied area, aiming to inform policymakers, foster collaboration, stimulate economic development, and promote sustainable growth. The methodology involved qualitative interviews with eight social entrepreneurs across Indonesia. Collected data was analyzed using content analysis techniques, facilitated by the MAXQDA platform. Findings indicate that despite social entrepreneurship being an emerging field in Indonesia, there is a notable lack of effective policies and regulations. Six of eight respondents perceived inadequate current regulatory support, and half cited financial challenges as a significant issue. Conversely, seven respondents acknowledged existing government assistance, suggesting a willingness to support the sector. Based on these results, key recommendations for the government to foster a supportive ecosystem include developing non-overlapping policies, implementing substantive policy changes, promoting useful policies, simplifying bureaucracy, and engaging in direct dialogue with social entrepreneurs. The research concludes that addressing these areas can empower social entrepreneurs to create lasting social impact. This study uniquely fills a gap by directly engaging social entrepreneurs, though future research should include government representatives for broader perspectives. 

Work Life Balance of Female Employees Across Generations in Indonesia

Joeliaty, Marthalina, Firmansyah, Yayan, Muhammad, A Fadel
Abstract: This study explores work-life balance among female government employees across generations, with a focus on gender-related challenges. Women are hypothesised to face imbalances due to dual roles at work and home. Using a… phenomenological approach and descriptive quantitative analysis, the study finds that Indonesian women across generations generally experience moderate work-life balance. Notably, Baby Boomers (60–78 years) and Generation Z (12–27 years) report higher balance, while Generation X (44–59 years) and Millennials (28–43 years) face lower balance due to simultaneous career and family responsibilities. The study offers generationally tailored suggestions, although results may not generalise to women in sectors like banking or private industry. Implications include the need for organisations to act as facilitators, supporting female employees to ensure psychological well-being and sustained performance.

The Pattern of Financial Management and Challenges Faced by Digital Startups in Indonesia: an Accounting and Financial Technology Perspective

Halim, Ade Imam Muttaqien, Muhammad, A Fadel, Nitswat, Nurhaliza, Ardi, Nur Astiana Hidayat
Abstract: This research aims to explore the financial management patterns applied by digital startups in Indonesia, along with the challenges and solutions faced by their founders in managing their finances. The study uses a qualitative… tative approach with case studies to gather data through in-depth interviews, observations, and analysis of financial documents from digital startups operating in Indonesia. The findings reveal that ineffective cash flow management, dependence on external funding, and a lack of strategic financial management understanding are some of the primary challenges faced by these startups. The study emphasizes the importance of adopting efficient financial practices, including utilizing financial technology to improve cash flow management and reduce dependency on external capital. Additionally, it underscores the need for startup founders to build a competent finance team to ensure sustainable growth. This research contributes to the understanding of financial management in the context of digital startups in Indonesia and provides insights on overcoming financial challenges to strengthen the startup ecosystem