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This study develops an ontology-based event-intelligence framework for FinTech merger-and-acquisition evidence in U.S. Securities and Exchange Commission (SEC) structured disclosures. Five quarterly SEC Financial Statement Data Sets from 2025Q1 through 2026Q1 contain 32,254 filings, 7,335 registrants, and 18,312,494 numerical XBRL facts; validation adds a 1,800-filing full-text Form 8-K sample and 192 FDIC events. A deterministic ontology maps XBRL tag names, labels, and documentation to acquisition, disposition, valuation, integration, risk, and payment concepts. The method is therefore LLM-inspired semantic enrichment rather than direct LLM extraction. Logistic regression, decision tree, and random forest classifiers are evaluated in three expanding forward-quarter tests with training-only preprocessing and threshold selection. A proximal protocol retains semantically close predictors, whereas a strict protocol excludes label-generating variables and deterministic descendants. Across the rolling tests, proximal logistic-regression M&A detection attains mean F1 = 0.981941, ROC-AUC = 0.999517, and average precision = 0.998315; strict performance falls to F1 = 0.735640, ROC-AUC = 0.930870, and average precision = 0.824107. FinTech M&A F1 declines from 0.921198 to 0.449503. Strict random forests yield F1 = 0.798129 for integration risk and 0.753987 for valuation signals. In independent full text, strict main-text-plus-exhibit F1 is 0.297482; among 24 automatically linked FDIC events in rolling test quarters, 9 are detected. Near-perfect scores therefore describe ontology reconstruction, not transaction-level accuracy.

The application of organic fertilizer is an important strategy for supporting sustainable rice farming by improving soil fertility, maintaining soil quality, and reducing dependence on synthetic fertilizers. However, the adoption of organic fertilizer among rice farmers remains relatively limited, indicating the need to understand the behavioral factors influencing its utilization. Objective: This study aimed to analyze farmers’ perceptions and behavior regarding organic fertilizer use and to examine the relationship between farmers’ perceptions and organic fertilizer utilization behavior in rice cultivation in Kewayuhan Village, Pejagoan District, Kebumen Regency. Methodology: This study employed a quantitative descriptive design with a survey approach. Data were collected from 79 rice farmers selected through simple random sampling from a population of 380 active farmers. A structured questionnaire was used as the research instrument. The data were analyzed using descriptive statistics, validity and reliability testing, and Spearman Rank correlation analysis. Findings: The results showed that farmers generally had positive perceptions of organic fertilizer, with 51.9% of respondents classified as having a high level of perception. Farmers’ behavior toward organic fertilizer utilization was also relatively favorable, although inconsistencies remained in application dosage, frequency, and continuity. The correlation analysis indicated positive associations between farmers’ perceptions and organic fertilizer utilization behavior, suggesting that more favorable perceptions tend to encourage better implementation of organic fertilizer practices. Implications: The findings indicate that improving farmers’ perceptions and knowledge should be accompanied by continuous agricultural extension, technical assistance, improved fertilizer availability, and stronger institutional support. These efforts are expected to increase the consistency of organic fertilizer application and support sustainable fertilizer management in rice farming. Originality: The originality of this study lies in integrating the cognitive, affective, and conative dimensions of farmers’ perceptions and examining their relationship with organic fertilizer utilization behavior using a non-parametric correlation approach. This study also provides specific empirical evidence from rice farmers in Kewayuhan Village, an area that has received limited attention in previous organic fertilizer adoption studies.

Heart disease remains one of the leading causes of mortality worldwide, highlighting the importance of accurate and timely prediction models to support early clinical decision-making. Objective: This study aims to compare the predictive performance of Logistic Regression and K-Nearest Neighbor (KNN) algorithms for heart disease classification and to identify the most appropriate model for early screening. Methodology: A quantitative comparative research design was employed using the Cleveland Heart Disease dataset from the UCI Machine Learning Repository, consisting of 303 patient records. The data were divided into training and testing sets using an 80:20 split. Logistic Regression was developed using backward stepwise selection, while KNN used standardized numerical variables with K = 15. Model performance was evaluated using accuracy, sensitivity, specificity, and precision. Findings: Logistic Regression outperformed KNN by achieving an accuracy of 83.6%, sensitivity of 93.5%, specificity of 73.3%, and precision of 78.4%. In comparison, KNN achieved an accuracy of 80.3%, sensitivity of 89.5%, specificity of 65.2%, and precision of 81.0%. These results indicate that Logistic Regression provides more reliable overall performance, particularly in identifying patients with heart disease. Implications: The findings suggest that Logistic Regression is more suitable as a decision-support model for early heart disease screening due to its higher sensitivity, accuracy, and specificity. This model may support healthcare professionals in identifying at-risk patients and reducing the likelihood of missed heart disease cases. Originality: The originality of this study lies in its transparent comparison of Logistic Regression and KNN using a standardized benchmark dataset while emphasizing clinically relevant evaluation metrics, particularly sensitivity. This approach provides additional empirical evidence for selecting interpretable machine learning models in clinical prediction tasks.

This study aims to determine the analysis of bankruptcy potential based onThe Zmijewski model was applied to aviation subsector companies listed on the Indonesia Stock Exchange (IDX) for the 2021-2022 period. The data used in this study is quantitative, and the data sources are secondary data, with data collection techniques using literature and documentation. The method used in this study is descriptive with a quantitative approach. This method aims to describe a condition in detail by using numbers to process and interpret data. The analysis technique used in this study is the Zmijewski method using 3 ratios. Based on the results of this study, it can be concluded that using the Zmijewski method, all 3 aviation subsector companies have the potential to go bankrupt. The aviation subsector companies listed on the IDX are: PT AirAsia Indonesia Tbk (CMPP), PT Garuda Indonesia (Persero) Tbk (GIAA), and PT Jaya Trishindo Tbk (HELI).

PT Erajaya Beauty & Wellness is a business vertical within the Erajaya Group operating in the beauty and health industry. EBW imports, distributes, and operates a retail network selling beauty and health products throughout Indonesia. PT Erajaya Beauty & Wellness requires strategic company information. This cannot be achieved without the support of an information system, which calculates daily estimates and calculations. This problem can be addressed by using an ERP system. The purpose of this research is to collect all invoice, purchase order, GRN, item, sales, sales return, and purchase return data from the company immediately during the initial transaction, store, process, and update it in real time. This ensures that employees can share information, and managers can obtain more comprehensive, accurate, and timely information to support decision-making. The research method used was interviews with the company and business process managers at PT Erajaya Beauty & Wellness. Based on observations, after using the accurate ERP system, PT Erajaya Beauty & Wellness can directly control and view the required data in real time, resulting in greater efficiency.

This research aims to analyze the effect of price, co-branding, and viral marketing on the purchase decision of HMNS x Tsana Rintik Sedu perfume. The analysis method in this research uses quantitative primary data with data collection techniques through questionnaires to 100 respondents. Data analysis techniques use multiple linear regression with the help of SPSS. The results of the research show that the variables of price and viral marketing have a partial and significant effect, while the variables of co-branding does not have a partial and significant effect on the purchase decision of HMNS x Tsana Rintik Sedu perfume. In addition, price, co-branding, and viral marketing have a simultaneous effect on the purchase decision of HMNS x Tsana Rintik Sedu perfume.

An Initial Public Offering (IPO) is a company's strategy to obtain additional capital and increase transparency of financial performance. This study aims to analyze the financial performance of PT Daya Cipta Integrasi Indonesia Tbk (DCII) before and after the IPO based on liquidity, solvency, and profitability aspects using financial report data for the 2020–2024 period obtained from the Indonesia Stock Exchange (IDX) and the company's official website. The research method used is documentation and literature study. The data analysis technique used is quantitative descriptive analysis by calculating liquidity ratios consisting of the Current Ratio, Quick Ratio, and Cash Ratio, solvency ratios consisting of the Debt to Asset Ratio and Debt to Equity Ratio, and profitability ratios consisting of Net Profit Margin, Return on Assets, and Return on Equity. The results of the study indicate that after the implementation of the Initial Public Offering (IPO), the financial performance of PT Daya Cipta Integrasi Indonesia Tbk has changed. The company's liquidity performance is still below industry standards, solvency performance is in good condition with a low level of dependence on debt, while profitability performance shows good results and is above industry standards.

This study aims to interpret the Prophetic hadiths related to mental health and examine their relevance to modern neuropsychology. It employs a qualitative approach using library research with a thematic (mawdu’i) method. The data were collected from hadiths contained in the Kutub al-Sittah, classical hadith commentaries (sharh), and relevant literature on psychology, neuropsychology, and neuroscience. The analysis involved takhrij of the hadiths, interpretation based on the explanations of classical scholars, and integration with contemporary neuropsychological theories. The findings reveal that hadiths concerning anger regulation, optimism, patience, remembrance of Allah (dhikr), and husn al-zhann (positive expectation toward Allah) embody principles of mental health that are consistent with psychological and neurobiological mechanisms. Anger regulation is associated with self-regulation and reduced amygdala activity; patience strengthens resilience by lowering cortisol levels; gratitude and optimism enhance positive emotions through dopamine activation; tawakkul reduces anxiety by optimizing prefrontal cortex function; while dhikr induces relaxation through activation of the parasympathetic nervous system. These findings indicate that the values embedded in the hadiths transform religious understanding into positive cognitive patterns and adaptive behaviors, which subsequently influence brain activity through neuroplasticity and promote mental well-being. This study concludes that hadiths serve not only as normative and spiritual guidance but also as scientifically relevant sources for the development of mental health from a neuropsychological perspective, thereby reinforcing the integration of hadith studies with modern neuroscience.

The escalating access of children to social media has significantly broadened their exposure to cyber risks, a pressing phenomenon to which the government responded by enacting Government Regulation Number 17 of 2025 concerning the Governance of Electronic System Operation for Child Protection (PP TUNAS). This study aims to analyze the innovation diffusion process of the PP TUNAS policy within the broader social system by applying Everett M. Rogers’ theoretical framework. Employing a sequential explanatory mixed-methods design, descriptive quantitative data derived from an EVIDENT Institute survey of 1,050 urban respondents serve as the foundational baseline layer. The robustness of this study relies on a qualitative approach using an interpretive policy discourse analysis grounded in Lasswell’s Communication Model (who, says what, in which channel, to whom, with what effect). This qualitative method critically deconstructs the official regulatory text of PP TUNAS and the respondents' thematic narratives to uncover the root causes of dissonance underlying the statistical figures. The findings indicate that PP TUNAS has successfully progressed through all stages of innovation diffusion. During the knowledge and persuasion phases, the public demonstrated substantial affective support (96.1%), which was followed by autonomous protective measures taken by parents in the implementation stage (91%). Nevertheless, the confirmation stage revealed distinct dissonance regarding the perceived ineffectiveness of digital platforms' age verification systems (59.3%). The qualitative analysis acutely reveals that this dissonance stems from a rupture in the communication chain at the channel level (the platform's technical delivery), even though the policy message (says what) was well-received by the communicants (to whom). The study concludes that the long-term success of PP TUNAS heavily depends on structural rectifications of the platform's technical channels alongside the reinforcement of humanistic family digital literacy programs.

The management of Islamic educational institutions in the modern era faces complex challenges that require a managerial approach that is not only technically effective, but also aligned with Islamic values and the social context of society. Therefore, a management model that is capable of integrating various approaches comprehensively is needed. This study aims to analyze four main approaches in Islamic educational management, namely the rational approach, the community figure approach, the cultural approach, and the opinion formation approach, as well as to examine their implications for the management of educational institutions. The research problems in this study include the characteristics of each approach and how their synergy can improve the effectiveness of Islamic educational institution management. The method used is qualitative research in the form of a literature study, sourced from relevant books and scientific journals, and analyzed using content analysis techniques. The results of the study show that the rational approach plays a role in creating a structured and data-based management system, while the community figure approach provides social legitimacy through charismatic leadership. The cultural approach functions to strengthen the internalization of Islamic values within the organizational culture, whereas the opinion formation approach contributes to building institutional image and public trust. The integration of these four approaches produces a holistic management model that not only improves organizational efficiency and effectiveness, but also strengthens the competitiveness, adaptability, and sustainability of Islamic educational institutions amid global dynamics.

Artificial Intelligence (AI) has become an important technological innovation that supports learning processes in higher education. This article aims to analyze the positive impact of AI on students' self-directed learning, its applications, and strategies for optimizing its use in academic activities. The study employed a library research method using a qualitative descriptive approach through the analysis of relevant scholarly literature. The findings indicate that AI improves access to learning resources, strengthens critical thinking skills, supports academic task completion, enhances digital literacy, and encourages students to become more independent learners. However, the effective use of AI requires academic integrity, information verification skills, and responsible implementation to maximize its contribution to improving the quality of learning in higher education.

Anemia during pregnancy remains a major public health problem in Indonesia. One of the contributing factors is inadequate maternal knowledge regarding iron (Fe) tablets, which may affect adherence to supplementation and increase the risk of anemia. Objective: This study aimed to analyze the relationship between pregnant women's knowledge of iron (Fe) tablets and the incidence of anemia at PMB Shinta, Medan Polonia District, North Sumatera Province, in 2025. Methods: This quantitative study employed a cross-sectional design. The study involved all 30 pregnant women attending antenatal care at PMB Shinta, selected through total sampling. Data were collected using a structured questionnaire and hemoglobin examination. The data were analyzed using descriptive statistics and the Chi-Square test. Findings: The results showed that 56.7% of respondents had poor knowledge and 60.0% experienced anemia. A significant relationship was found between maternal knowledge and the incidence of anemia, with a p-value of 0.013. Pregnant women with poor knowledge had a 10.5-times higher likelihood of experiencing anemia than those with good knowledge (OR = 10.5; 95% CI: 1.889–58.359). Implications: The findings indicate the need to strengthen health education during antenatal care, particularly regarding the benefits, dosage, timing, and proper consumption of iron tablets. Improved maternal knowledge is expected to support adherence to iron supplementation and reduce the incidence of anemia during pregnancy. Originality: This study provides recent empirical evidence from a primary midwifery practice in Medan Polonia by directly examining the relationship between maternal knowledge of iron tablets and anemia incidence. The findings offer practical value for developing targeted, community-based maternal health education strategies.

Nutrition is crucial for children's growth and development. Protein Energy Deficiency (PEM) is a common nutritional problem among elementary school-aged children and can impact their health, growth, and cognitive development. The prevalence of PEM among toddlers in Indonesia reached 17.9% in 2013. Palm Mushrooms, which are rich in macronutrients, can be a solution to this problem. Therefore, efforts are needed to address PEM through the consumption of nutritious foods, such as tortilla chips supplemented with palm mushroom flour. The purpose of this study was to analyze the acceptability and nutritional content of tortilla chips supplemented with palm mushroom flour (Volvariella volvacea) as an alternative snack for school-aged children. This study used an experimental design with a Completely Randomized Design (CRD) method, involving three treatments and two replications. The results of the organoleptic test showed that formulation 2, namely tortilla chips supplemented with palm mushroom flour, received a significant value (p<0.05) for color, aroma, taste, and texture, indicating a significant effect of the addition of palm mushroom flour on tortilla chips. Laboratory and organoleptic tests showed significant values ​​(p<0.05) for moisture, ash, carbohydrate, and protein content, indicating a significant effect of the addition of palm mushroom flour. Future researchers are expected to test the shelf life of tortilla chips made from palm mushroom flour.

Discipleship is one of the church's main strategies in shaping the spiritual maturity of the congregation amidst the challenges of modern life that can cause stagnation in faith growth and weaken spiritual commitment. Through a continuous process of development, discipleship is expected to help the congregation grow in their knowledge of Christ, character, and the practice of living faith in accordance with biblical teachings. This study aims to analyze the influence of discipleship on the spiritual maturity of the congregation at the Shalom Belawan Gospel Spreading Church. The study used a quantitative method with a survey approach. The study population consisted of 40 congregants consisting of 18 men and 22 women aged 17–55 years. Data were collected through questionnaires and analyzed using simple linear regression. The results showed that discipleship had a positive effect on the spiritual maturity of the congregation with a correlation coefficient (R) of 0.339. The coefficient of determination (R²) of 0.115 indicated that discipleship contributed 11.5% to the spiritual maturity of the congregation, while 88.5% was influenced by other factors outside the study. These findings indicate that discipleship plays a role in supporting spiritual growth through ongoing teaching, character development, and faith mentoring. Therefore, churches need to develop planned and systematic discipleship programs to improve the quality of congregational development while strengthening their spiritual maturity.

Character education based on religion is highly needed to cultivate a generation that is both intelligent and noble in character. An Islamic school culture serves as a means of instilling values through habits, rules, and traditions. The thoughts of Al-Ghazali, Ibn Khaldun, Ki Hajar Dewantara, and Thomas Lickona emphasize the need to combine knowledge, deeds, exemplary behavior, and collaboration among schools, families, and communities. Previous research indicates that routine religious activities strengthen religious awareness, discipline, honesty, responsibility, and tolerance. The challenges include differences in value application at home, diverse student backgrounds, time constraints, and the negative impacts of the external environment and digital media. The novelty of this study lies in the comprehensive mapping of the relationship between Islamic culture, character, and its supporting and inhibiting factors within a single framework. The method used is library research, which is described descriptively.

The massive development of digital technology expands children's access to information while simultaneously escalating cyber risks such as online exploitation and cyberbullying. This study aims to analyze the implementation of Government Regulation Number 17 of 2025 concerning Electronic System Governance for Child Protection (PP TUNAS) in the digital space, focusing on the technical challenges of age verification and the strengthening of digital literacy. This research employs a descriptive qualitative approach using qualitative content analysis of relevant regulatory documents, methodologically triangulated with secondary questionnaire data from the EVIDENT Institute involving 1,050 urban respondents in DKI Jakarta. The analytical framework is examined through Edwards III's Policy Implementation Theory, which measures four main variables—communication, resources, disposition, and bureaucratic structure—supported by Ayres and Braithwaite's Responsive Regulation Theory. The findings indicate a wide operational gap between normative regulatory texts and the reality of digital platform architecture. First, in the technical resource dimension, the age verification mechanisms of most platforms still rely on vulnerable self-declaration methods, deemed ineffective by 59.3% of respondents. Second, in the communication dimension, a substantial information asymmetry emerges, with 45% of respondents in a state of pseudo-awareness. Third, there is an imbalance between the domestic parental supervision burden and the fragmentation of the educational bureaucracy, reflected in 31.8% of educational institutions that have not facilitated digital literacy socialization for the parent community. This study concludes that strengthening PP TUNAS implementation requires integrating verification systems based on national population data (NIK) and standardizing a national digital citizenship curriculum to close the digital loophole.

This research aims to find the impact of human activity and interaction with their surrounding nature as well as to illustrate how anthropocentrism is portrayed in the Dune movie. This research applied descriptive qualitative method, while the data collected by observing the scene and dialogue that contains ecocriticism and anthropocentrism in the movie Dune. This research applies the theory of Greg Garrard and Cheryll Glotfelty for ecocriticism. This research also applies the theory of Bryan Norton for anthropocentrism types and its impact. Based on the result of selected data, the types of anthropocentrism depicted in the movie are 12 strong anthropocentrism and 5 weak anthropocentrism. As for the impact of anthropocentrism found in the movie are 5 anthropocentrism impact. All of the anthropocentrism types depicted in the movie are basically an implementation of human thought which considers human to be the center of the universe and justifies all action to achieve what one’s desired. Based on the data, strong anthropocentrism tends to exploit nature, dominate nature, and oppress other living creature for human interest. Weak anthropocentrism tends to preserve nature due to human’s dependency with nature. Anthropocentrism caused the impact on environment and living creature including human.

The escalation of digital risks confronting children has prompted the issuance of Government Regulation No. 17 of 2025 on the Governance of Electronic System Operation in Child Protection (PP TUNAS). Nevertheless, its field effectiveness remains hindered by challenges in information dissemination and the technical readiness of digital platforms. This study aims to explore in depth the perceptions, experiences, and practices of urban communities in conceptualizing PP TUNAS, while identifying the discrepancy between regulatory frameworks and the reality of child protection from a policy communication perspective. To analyze this phenomenon, a qualitative approach utilizing an interpretive case study design was employed. Primary data were gathered through semi-structured in-depth interviews with key informants—comprising parents, educators, and digital literacy advocates in urban areas—and complemented by observation alongside secondary survey data from the Evident Institute for methodological triangulation. Thematic analysis reveals that while urban communities overwhelmingly support the age-restriction mandate, their understanding remains superficially normative due to an underlying policy communication gap. Furthermore, a structural implementation gap emerged, as platform age-verification mechanisms are perceived as highly susceptible to bypass. In response to these technical shortfalls, parents and schools have independently adopted localized digital parental mediation strategies, despite lacking formal integration with the legal framework. This study concludes that the success of PP TUNAS cannot rest solely on judicial enforcement; rather, it necessitates robust platform technical infrastructure, comprehensive public policy communication strategies, and an integrated orchestration of multi-stakeholder governance.

In the era of globalization, language functions not only as a means of communication but also as a medium for negotiating identity and representing culture. This study examines the relationship between language use and cultural identity in No Na’s bilingual song “Rollerblade.” It aims to identify the types and communicative functions of code-switching based on Hoffmann’s framework, the types of code-mixing based on Muysken’s framework, and the ways in which these linguistic choices construct a cultural Third Space through Homi K. Bhabha’s postcolonial theory. This study employed a qualitative descriptive method. The data consisted of selected lyrical expressions containing Indonesian and English linguistic elements. The data were collected through purposive sampling and analyzed by classifying the forms of code-switching and code-mixing, identifying their communicative functions, and interpreting their relationship with Third Space dynamics. The findings reveal inter-sentential, intra-sentential, and tag code-switching, as well as insertion and congruent lexicalization in code-mixing. These linguistic strategies function to express group identity, provide interjections, clarify intentions, discuss particular topics, and emphasize statements. Their interaction reflects cultural mimicry, ambivalence, and subaltern agency. The findings indicate that No Na does not merely imitate Western popular culture but actively negotiates local and global identities by normalizing Indonesian cultural expressions within a global musical context. Thus, “Rollerblade” demonstrates how young people can participate in global culture while maintaining and reconstructing their local cultural identity.

This study aims to understand the meaning of the principal’s humanistic-spiritual servant leadership at SD N 1 Manukaya through a phenomenological approach. This research employed a qualitative method using interviews, observations, and documentation. The informants consisted of the principal and two teachers.The results showed that humanistic-spiritual servant leadership is interpreted as leadership oriented toward service, empathy, open communication, and family-like relationships within the school environment. The leadership practice also contains spiritual values such as sincerity, moral responsibility, and devotion to others, which are relevant to the concept of Manava Seva Madhava Seva. This study indicates that humanistic-spiritual servant leadership is able to build a harmonious and humanistic school culture at SD N 1 Manukaya.