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The rise of online loans (commonly known as pinjol) reflects the broader transformation of conventional financial systems into digital platforms, influenced heavily by the rapid development of financial technology (fintech). While online loans offer ease and accessibility, their implementation has raised significant legal concerns—particularly relating to the violation of privacy and the rights of third parties who are not directly involved in the loan agreement. One of the main legal issues occurs during the debt collection process, where third parties—often relatives, colleagues, or acquaintances of debtors—are subjected to intimidation, unlawful dissemination of personal data, and public defamation. These practices are not only unethical but also infringe on the privacy and dignity of uninvolved individuals. This article employs a legal research method using a normative approach. As a normative legal study, it analyzes laws, regulations, and legal literature relevant to the problem. The study finds that current legal regulations do not adequately protect third parties from the harmful practices associated with online loan collections. In response, there is a pressing need for regulatory reform. This includes strengthening personal data protection laws, enhancing supervision mechanisms over fintech companies, and ensuring that legal standards are consistently enforced. Reformulating these regulations will help address the legal vacuum and ensure greater legal certainty and protection for all individuals affected by online loan transactions. Through comprehensive policy changes and stronger enforcement, the negative impact of online loans can be mitigated, safeguarding both borrowers and uninvolved third parties.

This study investigates the influence of job satisfaction on teacher performance at Omba Tana Rara Public School, a rural educational institution located in a geographically remote area with distinct contextual challenges. Despite the crucial role of teachers in shaping educational outcomes, limited research has explored how job satisfaction contributes to teacher performance in such isolated settings. Employing a quantitative approach, the research surveyed 32 teachers using a validated Likert-scale questionnaire designed to measure key dimensions of job satisfaction, including recognition, professional development, remuneration, interpersonal relationships, and work environment. Data analysis was conducted using simple linear regression to determine the statistical relationship between job satisfaction and teacher performance. The results revealed that job satisfaction has a significant and positive impact on teacher performance (β = 0.67; p < 0.01), indicating that increases in satisfaction levels are associated with higher levels of effectiveness and engagement among teachers. Among the satisfaction factors examined, recognition from leadership, opportunities for professional growth, and supportive working conditions were identified as dominant contributors to improved performance. The findings of this study contribute to filling the research gap concerning human resource issues in remote schools and offer practical insights for stakeholders in education. In particular, the study emphasizes the importance of designing context-specific strategies that prioritize teacher welfare as a means of boosting instructional quality and learning outcomes. It recommends policy interventions focused on enhancing intrinsic and extrinsic satisfaction elements through improved school management practices. By highlighting the correlation between teacher satisfaction and performance, especially in rural and under-resourced areas, this research underscores the need for holistic human resource development in education. It advocates for a welfare-centered approach in managing and supporting teachers to ensure sustainable improvements in school effectiveness.

Maternal and Child Health (MCH) remains a major challenge in Indonesia's health sector, given the high maternal and infant mortality rates, largely caused by pregnancy complications. One obstetric complication that requires special attention is Premature Rupture of Membranes (PROM), as it can increase the risk of infection in the mother and fetus and contribute to preterm birth. This study aims to analyze maternal risk factors associated with PROM in the Uteun Pulo Community Health Center (Puskesmas), Seunagan Timur District, Nagan Raya Regency, in 2025. The research method used was a retrospective survey with a quantitative approach. Data collection was conducted through a review of medical records and structured interviews. Fifty-three pregnant women with PROM participated in the study. Data analysis used a chi-square correlation test to examine the relationship between the independent variables and PROM incidence. The results showed a significant association between maternal age and PROM incidence, with a p-value of 0.023 (p < 0.05). Furthermore, parity also had a significant association with the incidence of PROM, with a p-value of 0.013 (p < 0.05). Other findings showed a significant association between maternal age and the frequency of PROM, with a p-value of 0.028 (p < 0.05). These results indicate that maternal age and previous birth history are important factors that need to be considered in PROM prevention efforts in primary healthcare. These findings are expected to inform the development of intervention strategies and education for pregnant women to minimize the risk of pregnancy complications that lead to PROM.

Mathematics is a universal science that underlies the development of modern science and technology, and has an important role in the development of human thinking. Mathematics is a subject that is based on logical, rational, critical, and systematic thinking patterns. Religion and rationality are two perspectives that have a strong influence. Humans view religious values ​​and rational values ​​as different entities, causing a dichotomy paradigm, especially in the realm of education. In the perspective of the epistemology of science in Islam, Islam and science are complementary and interdependent entities. The mathematical approach used here does not mean that Islamic values ​​are low, but only to increase the belief of Muslims that all knowledge is valuable and can lead to true goodness and increase faith and closeness to Allah SWT.To examine how Islamic values ​​are applied in mathematics learning, To identify and develop effective strategies or methods in integrating Islamic values ​​in mathematics learning materials, To measure the extent of the application of Islamic values ​​in mathematics learning.This study uses a qualitative approach, while the type of research used by the researcher is descriptive research.Mathematics as a logical and systematic science, has a meeting point with Islamic teachings that emphasize truth, justice, and balance. For example, the concept of monotheism can be associated with the order of the universe expressed through mathematical formulas, fostering a sense of gratitude and obedience. The implementation of Islamic values ​​that are rahmatan lil 'alamin (blessing for all nature) in mathematics learning, especially to form honest and fair characters in students.

This study aims to examine the influence of financial performance ratios—namely, the liquidity ratio (Current Ratio/CR), solvency ratio (Debt to Asset Ratio/DAR), and activity ratio (Total Asset Turnover/TATO)—on the return on assets (ROA) of companies in the automotive sector listed on the Indonesia Stock Exchange (IDX) during the period 2020–2023. Employing a quantitative research approach with purposive sampling, the study focuses on automotive sector companies that met specific criteria over the observed time span. Data analysis was conducted using EViews version 13 software, and the methodology included descriptive statistics, panel data estimation, classical assumption tests, panel data regression analysis, t-tests (for partial effects), F-tests (for simultaneous effects), and coefficient of determination (R²) tests. The partial test results reveal that the liquidity ratio (CR) has a negative but statistically insignificant effect on ROA, indicating that higher liquidity does not necessarily enhance profitability. Similarly, the solvency ratio (DAR) demonstrates a negative and insignificant effect on ROA, suggesting that increased debt levels are not significantly associated with lower returns. In contrast, the activity ratio (TATO) has a positive and significant effect on ROA, implying that better asset utilization contributes positively to profitability. When tested simultaneously, the combination of CR, DAR, and TATO shows a positive and significant influence on ROA, indicating that these financial ratios collectively impact the profitability of automotive companies. These findings contribute to a deeper understanding of how internal financial indicators relate to profitability in the automotive sector and can inform management decisions and investor evaluations.

Money laundering is a serious crime that has a significant impact on economic and social stability, as well as the integrity of the financial system. This crime is often associated with serious crimes such as corruption, narcotics, and terrorism. Money laundering poses a major threat to national security, conceals the origin of illicit funds, and undermines a healthy economic system. To combat this crime, Indonesia has imposed criminal sanctions based on Law Number 8 of 2010, which aims to provide a deterrent effect on perpetrators and prevent similar crimes from occurring in the future. However, the effectiveness of these criminal sanctions remains a critical challenge, given the various difficulties in their enforcement, such as the complexity of tracking the flow of funds, limited law enforcement resources, and the increasingly sophisticated modus operandi of perpetrators who often work together with international networks. This study seeks to examine the effectiveness of criminal sanctions in combating money laundering and identify obstacles in their implementation. The research method used is juridical-normative research with a legal regulatory framework. Primary data was obtained through literature review and examination of legal documents, while secondary data came from relevant literature, reports, and academic studies. The urgency of this research stems from the importance of evaluating and strengthening the application of criminal sanctions to protect the national financial system from the risk of money laundering. Without concrete steps to increase the effectiveness of sanctions, money laundering crimes will continue to proliferate and pose a threat to the national economy, weaken the legal system, and erode public trust in efforts to combat economic crime.

The Printed Circuit Board (PCB) industry increasingly relies on automation and digitalization to improve efficiency and accuracy in production and distribution processes. One common practice is the use of labels containing product information in the form of barcodes or QR codes, which allow automatic data input and reduce the risk of human error compared to manual writing. However, in current practices, these labels are only attached to PCBs after they have been placed inside casings. This creates a significant limitation, as access to the label information requires disassembling the casing whenever product verification, tracking, or troubleshooting is needed. Such a process not only consumes additional time and resources but also increases the risk of damaging the product. To overcome this challenge, this study proposes the development of a traceability system designed to accurately monitor the location, identity, and status of PCBs throughout the distribution process. The system was implemented as a web-based application capable of generating and printing product information labels in the form of barcodes and QR codes. Each label functions as a unique identifier, ensuring that every PCB can be distinctly tracked from production to final product assembly. All data associated with the labels is automatically stored in a centralized database, providing real-time accessibility, simplifying information management, and enabling faster decision-making in the event of quality control issues. System evaluation was carried out through rigorous testing, which showed a 100% success rate in generating, storing, and retrieving product information without errors. The findings indicate that the proposed traceability system is both effective and efficient, and it offers a practical solution for industries seeking to enhance supply chain visibility, improve product accountability, and reduce operational inefficiencies in PCB distribution and lifecycle management.

This study aims to synthesize the results of previous research on gender diversity and financial performance through Systematic Literature Review (SLR). This research using SLR presents quantitative data to determine the development of gender diversity issues. There are several parameters used, namely journal sources, variable mapping and theory as well as fields of science, research approaches and companies.  The results of this study show that there are 30 articles originating from accredited national and national journals during the period 2020-2024. The topic of financial performance associated with environmental performance, firm value, Environmental Social Governance (ESG), capital structure, Good Corporate Governance (GCG), Corporate Social Responsibility (CSR), fair value, accounting conservatism. which continues to grow. Upperchelon theory is the most widely used theory as well as the dominant use of quantitative methods in financial performance research.  Manufacturing companies are companies that research financial performance issues

Delivery delays pose a major challenge in the e-commerce industry, often leading to decreased customer satisfaction and negatively impacting business operations. In this study, the XGBoost (Extreme Gradient Boosting) algorithm is applied to predict delivery delays based on a dataset containing 96,476 records. These records include various features relevant to the delivery process, such as shipping distance, carrier performance, and order characteristics. The model achieves a high overall accuracy of 93.24%, indicating strong general performance. In particular, XGBoost demonstrates excellent results in predicting on-time deliveries, achieving a precision of 93% and a recall of 100%. However, the model struggles to correctly identify delayed deliveries. The recall for delayed deliveries is 0%, and the F1-score is extremely low at 0.01. This significant discrepancy reveals a critical limitation in the model's performance — the inability to detect minority class cases (delayed deliveries) due to class imbalance within the dataset. The results highlight the importance of addressing data imbalance in predictive modeling for delivery outcomes. When the dataset is dominated by on-time delivery records, the model tends to be biased toward that class, failing to learn the patterns associated with delays. To improve performance, the study recommends integrating class balancing techniques such as SMOTE (Synthetic Minority Oversampling Technique) to generate synthetic samples of the minority class. Additionally, the use of alternative evaluation metrics beyond accuracy — such as precision, recall, and F1-score for each class — is suggested to provide a more comprehensive understanding of model effectiveness. Overall, the study provides valuable insights into the complexities of predicting delivery delays and outlines practical strategies for enhancing future models in e-commerce logistics analytics.

The betel nut (Areca catechu) is a tropical plant that thrives in Southeast Asia, including Indonesia. This plant has long been known in traditional medicine and local culture for its content of various beneficial active compounds. One form of its utilization that has rarely been scientifically studied is fresh betel nut juice. Therefore, this study aims to conduct a preliminary assessment of the characteristics of fresh betel nut juice, particularly from a physical, chemical, and microbiological perspective. The juice production process is carried out simply by squeezing fresh betel nuts without the addition of chemicals or heating. Based on initial observations, the betel nut juice exhibits a distinctive reddish-brown color and a sharp, pungent aroma. This color and aroma likely originate from the phenolic and alkaloid compounds naturally present in the betel nut. pH measurements indicate that the juice has a fairly high acidity level, which can affect the stability of microorganisms within it. Qualitative tests of the chemical composition of the betel nut juice indicate the presence of bioactive compounds, particularly tannins and alkaloids. Tannins are known to have antimicrobial activity, while alkaloids act as physiologically active compounds that can affect the nervous system. However, the presence of these compounds does not completely inhibit the growth of microorganisms. Through simple isolation of microorganisms from the fresh juice, bacteria from the genus Lactobacillus spp., which are typically associated with natural fermentation processes, were found. The presence of these bacteria indicates that fresh areca nut juice can be a potential growth medium for certain microorganisms, particularly lactic acid bacteria. This finding opens up opportunities for further research into the use of areca nut juice as a natural fermentation agent that may have functional and probiotic value.

Chronic Energy Deficiency (CED) in pregnant women remains a major nutritional problem in Indonesia and contributes to various maternal and neonatal complications. CED reflects a long-term energy and macronutrient deficit, often influenced by inadequate nutritional intake and socioeconomic limitations. This study aims to analyze nutritional intake and economic status as risk factors for Chronic Energy Deficiency (CED) in pregnant women in the Patilanggio Community Health Center (Puskesmas) working area. This study used a quantitative observational design with a cross-sectional approach. The study sample consisted of 30 pregnant women selected using a total sampling technique. Data were collected through interviews using a respondent characteristics questionnaire and food recall to assess energy and protein intake, as well as Mid-Upper Arm Circumference (MUAC) measurements to determine CED status. Data analysis was conducted descriptively and cross-descriptively. The results showed that all respondents had energy and protein intakes below 90% of the Recommended Dietary Allowance (RDA) and all were categorized as CED based on the MUAC measurement. All respondents were also categorized as low economic status, reflecting a homogeneous socioeconomic condition. These findings indicate that CED in pregnant women at the study site is associated with inadequate nutritional intake and limited economic status. In conclusion, CED in pregnant women is a chronic nutritional problem influenced by nutritional and socioeconomic factors, necessitating comprehensive prevention and treatment efforts based on primary health care services.

This study aims to analyze the correlation between learning models and student achievement at SMA Negeri 1 Kuala by applying the Apriori algorithm in data mining, using Rapid Miner software as the primary tool for analysis. The research is motivated by the shift in educational approaches from conventional teacher-centered methods toward more innovative strategies such as project-based learning and cooperative learning, which are expected to foster higher levels of student engagement and improve academic outcomes. In many schools, particularly at the secondary level, the choice of learning model, availability of facilities, and attendance rates are crucial factors that shape learning effectiveness and student performance. The data collected in this study include student grades, the types of learning models implemented, school facility conditions, and attendance rates for the 2023/2024 academic year, covering a total of 680 students. The Apriori algorithm was employed to discover hidden patterns and associations among these variables, enabling the identification of relationships between learning factors and academic achievement. By applying Rapid Miner software, the research systematically generated association rules that reflect meaningful correlations in the dataset. The results indicated that the use of the Indonesian language subject in combination with a cooperative learning model, adequate and complete school facilities, and good student attendance was strongly associated with the attainment of an A grade. This finding was supported by a support level of 53.33% and a confidence level of 100%, suggesting a robust and reliable relationship between these factors. The implementation of data mining techniques through Rapid Miner not only allowed for efficient data processing but also provided practical recommendations for educators and school administrators in designing effective instructional strategies.

The Caesarean Section (C-Section) procedure is one of the most common surgical methods for childbirth, performed through an incision in the abdominal wall (laparotomy) and the uterine wall (hysterotomy). Despite its effectiveness in ensuring maternal and fetal safety, one of the major postoperative complaints reported by patients is pain. Pain itself is defined as an unpleasant sensory and emotional experience associated with actual or potential tissue damage, which is subjective and can only be described by the person experiencing it. Unmanaged pain may negatively affect postoperative recovery, emotional well-being, mobility, and breastfeeding initiation. Therefore, appropriate nursing care interventions are essential to help patients achieve comfort and recovery. This scientific paper explores the implementation of sacral plexus therapy as part of nursing interventions to address pain problems in post-C-section patients. The study employed a case study approach that applied the nursing care process, which includes comprehensive assessment, formulation of nursing diagnoses, planning, implementation of interventions, and evaluation. Nursing care was carried out over a period of 72 hours (3x24 hours), with pain intensity and patient comfort levels monitored throughout the process. The evaluation results showed that all nursing diagnoses related to pain were successfully resolved within the given timeframe. Specifically, the application of sacral plexus therapy proved effective in reducing the intensity of postoperative pain and improving overall comfort, enabling patients to gradually regain mobility and adapt to their postpartum condition. In conclusion, sacral plexus therapy can serve as a complementary and non-pharmacological intervention within nursing care to effectively manage pain in post-C-section patients. These findings highlight the importance of innovative and holistic approaches in nursing practice to improve patient recovery and quality of care after surgical childbirth.

This research is motivated by the importance of understanding the niqab (face veil) as a religious symbol and an identity marker for Muslim women, which continues to spark public debate in Indonesia. The niqab is often viewed from various perspectives—religious, cultural, social, and political—making it a controversial topic. These differing viewpoints highlight the need for a deeper exploration of the meaning and practice of wearing the niqab, especially within Islamic higher education institutions. The study aims to examine both the normative and sociological aspects of niqab use among female students at Ma’had Al-Birr, Muhammadiyah University (Unismuh) Makassar. This institution is known for having a significant number of students who wear the niqab, each with different backgrounds and motivations, ranging from theological beliefs to personal convictions and environmental influences. The research employs a descriptive qualitative method with a field-based approach. It combines normative Islamic theological perspectives with sociological analysis, using data collection techniques such as observation, in-depth interviews, and documentation. The findings reveal that students perceive the niqab not merely as a religious obligation to cover one's aurat (parts of the body that should be concealed), but also as a symbol of piety, honor, obedience, and personal ijtihad (independent reasoning) in practicing Islamic teachings. An inclusive campus environment supports these students in engaging freely in both academic and social activities. However, challenges still arise, particularly in the form of stereotypes and perceptions of exclusivity that some individuals associate with niqab wearers. These misconceptions underscore the importance of cross-perspective understanding in addressing this phenomenon. This study is expected to contribute to the development of campus policies that support freedom of expression, uphold mutual respect, and promote a more inclusive, open, and tolerant atmosphere within Islamic higher education institutions—one that embraces the diversity of religious practices and encourages respectful coexistence.

Preeclampsia is a severe pregnancy complication characterized by hypertension and signs of organ damage, with a multifactorial etiology involving maternal, genetic, and environmental interactions. This study aims to analyze determinants contributing to the occurrence of preeclampsia through a comprehensive literature review. The research method involved an in-depth analysis of 15 scientific journals, consisting of 8 national publications from Google Scholar and 7 international publications from PubMed, selected based on relevance, credibility, and publication date. Data from these sources were synthesized to identify common risk factors, biological mechanisms, and preventive measures. The findings indicate that the primary risk factors for preeclampsia include a history of chronic hypertension, obesity, gestational diabetes, nulliparity (first pregnancy), and a family history of preeclampsia. Nutritional deficiencies, particularly low calcium and vitamin D intake, are also significantly associated with increased risk. Furthermore, immunological factors such as abnormal maternal immune tolerance, as well as placental dysfunction leading to poor perfusion, play a crucial role in the pathogenesis of preeclampsia. The interplay between these factors suggests that preeclampsia is not caused by a single mechanism, but rather by a complex network of physiological, metabolic, and genetic influences. This complexity underscores the importance of early risk factor identification and intervention strategies during antenatal care. Preventive efforts may include nutritional supplementation, weight management, blood pressure monitoring, and targeted medical interventions for high-risk individuals. In conclusion, preeclampsia remains a significant contributor to maternal and perinatal morbidity and mortality worldwide. Understanding its determinants enables healthcare providers to implement timely preventive measures and reduce its negative impacts on both mother and fetus. Further research is warranted to elucidate the precise mechanisms underlying these determinants, potentially paving the way for more effective prevention and treatment strategies.

Bekasam is a traditional fermented fish-based food popular in various regions in Indonesia, including Batanghari, Jambi. This product is produced through a spontaneous fermentation process that utilizes the activity of microorganisms, particularly lactic acid bacteria (LAB), which play an important role in the formation of distinctive flavors, food safety, and potential health benefits. One type of fish used is lambak fish (Labiobarbus ocellatus), which is commonly found in local waters. Given the high prevalence of cardiovascular disease associated with cholesterol levels, exploring the probiotic potential of local fermented foods presents a strategic opportunity to support public health. This study aims to isolate and identify LAB from bekasam lambak fish from Mersam, Batanghari, and evaluate its initial potential as a candidate for cholesterol-lowering probiotics. The research method was carried out in the laboratory through a series of dilutions (10⁻¹–10⁻⁶) of bekasam samples, followed by cultivation on Nutrient Agar (NA) media using the pour and streak method. Incubation was carried out at 37°C for 24–48 hours. The growing colonies were then observed morphologically and tested using Gram staining. Observations revealed spherical, milky-white colonies with Gram-positive rod-shaped characteristics, indicating they likely belonged to the Lactobacillus genus. This genus is known to lower cholesterol through bile acid binding and free cholesterol assimilation mechanisms in the digestive tract. These findings reinforce the notion that bekasam lambak fish contains local LAB isolates that have the potential to be developed as a natural probiotic raw material. This potential can be utilized in the development of functional fermented food products or nutraceuticals that not only maintain the traditional value of bekasam but also provide preventative health benefits, particularly in controlling cholesterol levels.

Giving breast milk (ASI) exclusively during the first six months of a baby's life is very important in supporting the baby's growth and development and body resilience. However, the practice of giving formula milk is still quite high and is a challenge in fulfilling exclusive breastfeeding. This study aims to determine the determining factors for giving formula milk to babies aged 0-6 months in the work environment UPT Primary Health Care Pujon. This research design uses a descriptive analytical approach with a cross-sectional method to identify factors associated with exclusive breastfeeding. The research population was all mothers who had babies with a sample of 52 respondents obtained through total sampling. Data analysis was carried out using the Chi-Square test and logistic regression to determine the most dominant factors. The research results showed that all variables had a p value > 0.05, namely age (p=0.274), education (p=0.156), occupation (p=0.384), parity (p=0.280) and socio-culture (p=0.711), so there was no significant relationship between these variables and exclusive breastfeeding. The logistic regression model was also not significant (p=0.308), indicating that there were no dominant factors influencing the practice of exclusive breastfeeding among respondents. Thus, the low coverage of exclusive breastfeeding in this study may be influenced by other factors outside the variables studied.

This corpus-based study explores the acquisition patterns of English modal verbs by Indonesian EFL (English as a Foreign Language) learners through a comprehensive analysis of learner language data. The study utilizes a specialized learner corpus consisting of 2.5 million words drawn from both written and spoken productions of 450 Indonesian learners, covering various proficiency levels. The research focuses on examining the frequency patterns, semantic distributions, and error types associated with modal verb usage across the learner corpus. The study employs a combination of quantitative corpus linguistic methods and qualitative error analysis to uncover developmental trends and persistent difficulties in acquiring English modals. The findings highlight a significant underuse of epistemic modality, which expresses degrees of certainty, and an overreliance on core modals like "can," "will," and "must." Additionally, learners systematically avoid more complex modal constructions that are semantically nuanced and less frequent in their linguistic output. The analysis also reveals notable cross-linguistic influences from Indonesian, particularly in the areas of politeness marking and the expression of certainty. These interference patterns suggest that Indonesian learners may transfer modal expressions from their native language, leading to specific errors in the usage of English modals. Based on the findings, the study proposes a usage-based pedagogical framework that integrates corpus-informed instruction with explicit semantic mapping of modal meanings. This framework encourages teachers to address modal verb acquisition by emphasizing frequency-based approaches, contrastive semantic analysis, and corpus-driven awareness-raising activities. The research suggests that by focusing on the form-meaning-function relationships of modals in authentic contexts, learners can better understand and produce English modals accurately and appropriately. The findings have significant implications for enhancing modal verb instruction in EFL classrooms, especially for Indonesian learners.

Instant noodles are a widely consumed fast food product, and consumer understanding of their nutritional content and potential health risks is thought to influence both attitudes and behaviors related to their consumption. Specifically, this understanding may affect how individuals meet their energy requirements—measured by the Recommended Energy Intake (REI)—through the consumption of instant noodles. This study aims to examine the relationship between knowledge and attitudes and the consumption practices of instant noodles among consumers at Warmindo K17 in Surabaya. A quantitative, cross-sectional research design was employed. Data were collected using a structured questionnaire distributed to 100 respondents selected through simple random sampling. Descriptive statistics, Spearman’s rank correlation, and Fisher’s exact tests were utilized to analyze the relationships between knowledge, attitudes, and consumption practices. The results indicated a statistically significant association between knowledge levels and consumption practices (p = 0.030), as well as between attitudes and consumption practices (p = 0.006), with both p-values falling below the 0.05 threshold. These findings suggest that higher levels of nutritional knowledge and more positive attitudes are associated with healthier instant noodle consumption practices. The study underscores the importance of enhancing public nutrition education to encourage healthier dietary behaviors. Furthermore, the findings may offer valuable insights for Warmindo business operators in developing more effective strategies for communicating product information to consumers.

This study aims to explore and understand the impact of various internal corporate governance and financial structure variables on firm value, specifically within the context of the Indonesian banking sector. The variables examined include company size, capital structure, managerial ownership, institutional ownership, and the presence of independent commissioners. The study focuses on companies listed on the Indonesia Stock Exchange during the period from 2022 to 2024. A quantitative research approach was employed, using purposive sampling to select banking firms that met the criteria for analysis. The data were analyzed using multiple linear regression to determine the individual and simultaneous influence of each variable on firm value. The empirical findings reveal that company size does not have a significant effect on firm value, indicating that larger asset bases or broader operations are not necessarily associated with higher market valuation in the banking sector. Conversely, capital structure—reflected by the proportion of debt to equity—has a positive and significant effect, suggesting that leverage, when managed efficiently, enhances firm value. Meanwhile, managerial ownership does not show a notable contribution to firm value, implying that insider ownership may not always align with shareholder interests. On the other hand, institutional ownership exerts a positive and significant influence, indicating that the presence of large, professional investors can enhance oversight and value creation. Finally, the presence of independent commissioners does not significantly impact firm value. Overall, the results highlight that, although not all governance variables have a direct individual influence, the five variables studied jointly have a significant effect on firm value. These findings have implications for corporate governance practices and financial decision-making in the banking sector, especially in emerging markets such as Indonesia.