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Human personality is diverse and influences the way people act, think, and interact in daily life. These differences also appear in literature, especially in drama, where characters reveal their traits through dialogue, actions, and conflicts. This study aims to analyze the personality of Othello in William Shakespeare’s Othello using the Big Five Personality Traits (OCEAN). This research employs a qualitative descriptive method with data taken from selected dialogues and monologues that reflect Othello’s personality. The data were categorized into five dimensions: Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. The findings show that Neuroticism (30.77%) is the most dominant trait in Othello’s character, followed by Extraversion (23.08%), Agreeableness (15.38%), Conscientiousness (15.38%), and Openness (15.38%). These traits influence his decisions, relationships, and eventual downfall, indicating that emotional instability and insecurity play a crucial role in the tragic development of the play. This study demonstrates how universal personality traits shape human behavior and conflict in Shakespeare’s drama and shows that modern psychological frameworks can be effectively applied to classical literature.

This study examines the determinants of green innovation and its impact on sustainable business performance among micro, small, and medium enterprises (MSMEs) in the Bandung Raya region of Indonesia. Specifically, the study analyzes the influence of environmental knowledge and market pressure on green innovation, as well as the effect of green innovation on sustainable performance. A quantitative approach was employed using data from 150 MSMEs, and structural relationships were tested through multiple regression analysis. All measurement instruments demonstrated high reliability (Cronbach’s Alpha 0.89–0.95) and validity (corrected item–total correlation > 0.80). The results reveal that environmental knowledge has the strongest positive and significant effect on green innovation (β = 0.728; p < 0.001), indicating that MSMEs with greater environmental awareness are more likely to adopt eco-friendly innovations. Market pressure also significantly influences green innovation (β = 0.257; p < 0.001), demonstrating the role of consumer expectations, competition, and green product trends in shaping sustainable business practices. Furthermore, green innovation has a very strong and significant impact on sustainable business performance (β = 0.847; p < 0.001), suggesting that eco-friendly practices enhance cost efficiency, customer satisfaction, firm reputation, and environmental outcomes. Overall, the study highlights the importance of combining internal awareness with external pressures to foster green innovation and strengthen sustainability among MSMEs. The findings provide theoretical contributions to green innovation and sustainability frameworks, while offering practical implications for MSMEs, policymakers, and business support institutions.

The development of social media as part of digital technology has significantly transformed patterns of social interaction among adolescents in Indonesia. Social media no longer functions solely as a medium for communication and self-expression, but also as a social space that influences behavioral formation, including deviant and criminal behavior. This study aims to analyze the influence of social media on juvenile criminal behavior from a criminological perspective, with particular attention to social learning processes and the weakening of social control in digital environments. This research employs a qualitative method using a literature study approach by examining scientific journals, official reports, and statistical data related to social media use and adolescent behavior. The findings indicate that high intensity of social media use, exposure to negative content, and the normalization of aggressive behavior in digital spaces contribute to increased vulnerability of adolescents to criminal behaviors such as cyberbullying, online aggression, and other forms of deviance. Within the framework of Social Learning Theory, social media serves as a medium for behavioral learning through mechanisms of observation, imitation, and social reinforcement, while Social Control Theory highlights how weak supervision by families and educational institutions amplifies the risk of deviant behavior. The implications of this study emphasize the importance of preventive, non-penal approaches through strengthening social control, improving digital literacy, and enhancing the active role of families and schools to minimize the risk of juvenile criminal behavior in the digital era.

Flash floods are a hydrometeorological disaster that frequently strikes Indonesia, including East Aceh. Their impacts include not only physical damage but also social and economic disruption to residents. This article describes a community service activity involving the distribution of community donations to flash flood survivors in Pante Bidari District. Using a descriptive qualitative approach, this article analyzes the process of collecting, managing, and distributing aid and links it to theoretical findings in the scientific literature on disaster management, social solidarity, and community resilience. The literature review indicates that local community involvement significantly influences the effectiveness of disaster management (Hariyal & Anhar, 2015); (Faiz, 2025) The results of this activity indicate that community-based aid distribution can accelerate the fulfillment of basic needs, strengthen social networks, and increase the social resilience of affected communities. Thus, this activity confirms that strengthening solidarity among residents is a crucial component in disaster emergency response. Community-based aid distribution not only ensures targeted assistance but also fosters a spirit of mutual cooperation that strengthens long-term social resilience.

This study explores the integration of critical pedagogy with digital literacy, aiming to reconceptualize digital literacy beyond its traditional focus on technical proficiency and operational skills. Traditional digital literacy models emphasize the ability to navigate and use technology, primarily focusing on operational tasks such as managing digital devices, utilizing software, and performing specific functions. However, these models often overlook the broader implications of technology on society, including its role in shaping power dynamics and perpetuating social inequalities. By integrating critical pedagogy, this study argues that digital literacy should not only encompass technical skills but also encourage learners to critically assess the social, political, and cultural implications of digital tools. The critical digital literacy approach promotes social justice, equity, and empowerment by encouraging learners to question, reflect on, and challenge the ways in which technology influences their lives and society at large. Through critical engagement with digital tools, learners are empowered to challenge existing power structures, fostering social transformation. The study discusses how educators can integrate critical digital literacy into teaching practices, moving beyond traditional skill based models by encouraging critical thinking, ethical use of technology, and a deeper understanding of the role digital technologies play in shaping societal structures. Moreover, the study highlights the transformative potential of critical digital pedagogy, proposing it as a tool for educational equity and social change. By reconceptualizing digital literacy through a critical pedagogical lens, this study offers a framework that empowers students to become not just proficient digital users but active participants in societal transformation, contributing to a more inclusive and just digital future. The study also suggests areas for future research, including empirical investigations on the practical implementation of critical digital literacy frameworks across various educational settings and contexts.

In the current era of digital transformation, organizations are increasingly turning to Artificial Intelligence (AI) to enhance the precision and agility of managerial decisions. This study investigates how AI adoption within management accounting systems influences decision-making efficiency and managerial performance. Using survey data collected from managers and accountants in medium-to-large firms across Central Java, the research applies Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the hypothesized relationships. The results reveal that AI adoption significantly improves decision-making efficiency, which in turn enhances managerial performance. Furthermore, leadership support strengthens the relationship between AI adoption and decision-making efficiency, indicating that human and organizational factors remain critical for realizing technological benefits. The findings contribute to management accounting literature by elucidating the mechanism through which AI technologies create managerial value specifically, by accelerating analytical processes and improving the quality of managerial judgments. Practically, the study suggests that firms should focus on leadership involvement, data governance, and employee training to ensure that AI systems complement, rather than replace, human judgment. Overall, this study highlights that successful AI adoption in management accounting is not merely a technical transition but a strategic and cultural evolution toward evidence-based decision-making.

Spirituality is a fundamental foundation of congregational faith life that directly influences character formation and daily behavior. However, social, cultural, and technological changes in the modern era have contributed to the weakening of congregational spirituality, including within the GKSI Sungai Maram congregation in Ketapang Regency, West Kalimantan. This condition is reflected in faith practices that tend to be routine and have not yet fostered holistic Christlike character. This community service program aimed to revitalize congregational spirituality as an effort to strengthen character formation and faith through a contextual and participatory approach. The program was implemented through pastoral mentoring, reflective group discussions, prayer fellowships, and community-based faith development activities involving church leaders and congregants. The implementation methods included initial observation of congregational conditions, interviews with church leaders and members, and community reflection as an evaluation tool. The results of the program indicate increased spiritual awareness among congregants, reflected in the strengthening of Christian character values such as love, integrity, responsibility, and social concern, as well as improved relational quality within the congregation. In addition, the program encouraged the establishment of sustainable shared spiritual practices as an integral part of church life. Therefore, contextual and sustainable spiritual revitalization through community service activities serves as an effective strategy for building a congregation that is mature in faith, strong in character, and socially impactful.

This study aims to analyze the influence of digital financial literacy and digital financial inclusion on the economic sustainability of rural micro-entrepreneurs in Deli Serdang Regency, Indonesia. The rapid development of digital financial services offers new opportunities for rural MSMEs to improve transaction efficiency and expand market access. However, the optimal utilization of these services remains limited due to uneven levels of literacy and digital access. This research employs an explanatory quantitative approach using Structural Equation Modeling–Partial Least Squares (SEM-PLS), based on survey data collected from rural business actors who have used at least one digital financial service. The findings indicate a very strong predictive accuracy of the model, with an R-Square value of 0.945 for economic sustainability. Digital financial literacy has a positive and significant effect on digital financial inclusion (β = 0.273; p = 0.001) and on economic sustainability (β = 0.235; p = 0.000). Digital financial inclusion also positively and significantly influences economic sustainability (β = 0.398; p = 0.000). These results demonstrate that improved digital literacy and wider use of services such as e-wallets, QRIS, and mobile banking enhance business resilience and expand economic opportunities for rural MSMEs. Overall, the study underscores the importance of strengthening digital capacities and expanding access to digital financial services as key strategies for advancing inclusive and sustainable rural economic development.

This study aims to determine and analyze the effect of company size and Good Corporate Governance (Institutional Ownership, Independent Board of Commissioners, and Audit Committee) on Company Value in energy sector issuers listed on the Indonesia Stock Exchange (IDX) for the 2021–2024 period. The research method applied in this study is a quantitative approach using secondary data obtained from company annual reports. The population includes energy companies operating in the Oil, Gas, and Coal sub-sectors. The sample was determined through purposive sampling, resulting in 60 data observations consisting of 15 companies over four consecutive years. The analytical technique employed utilizes SPSS software version 55 with multiple linear regression analysis to examine the relationships among variables. The results indicate that company size significantly influences company value. Good corporate governance proxied by institutional ownership shows a negative effect on firm value, while independent commissioners and audit committees have no significant effect. Simultaneous findings confirm that company size and good corporate governance together influence firm value.

Economic forecasting is becoming increasingly important year after year, especially during crises such as the pandemic of COVID-19 and the Russia-Ukraine war. Its development can be seen from the use of basic statistical models to the increasingly widespread use of machine learning technology. Economic forecasting plays an important role in helping to formulate policies and is also a reliable tool for researchers in dealing with uncertainty. Global crises, such as inflationary pressures due to the pandemic and supply chain disruptions from the Russia-Ukraine conflict, have prompted increased research in this field in an effort to anticipate economic shocks and emphasize the urgency of forecasting to prepare strategies for dealing with future uncertainty. This literature review uses the Scopus database with 2561 publications from 2020 to 2025, analyzed using R Studio with a bibliometrix approach (specifically biblioshiny) and VOSviewer to map relevant thematic connections. This analysis shows that economic forecasting is greatly influenced by market uncertainty and geopolitical factors, and at the same time influences public policy formulation and financial stability. Research contributions from Indonesia are still limited, with only 40 documents, thus emphasizing the need to strengthen economic forecasting studies in Indonesia to support monetary policy and national financial stability.

The rapid development of artificial intelligence, particularly ChatGPT, has created new opportunities to support students’ academic activities in higher education. However, its utilization needs to be evaluated in terms of the alignment between academic task characteristics and technological capabilities to ensure optimal outcomes. This study aims to examine the feasibility of using ChatGPT in students’ academic activities by applying the Task–Technology Fit (TTF) model. This research employed a quantitative approach using Structural Equation Modeling based on Partial Least Squares (SEM-PLS). Data were collected through questionnaires distributed to university students and analyzed using SmartPLS 4 software. The variables examined included Task Characteristics, Technology Characteristics, Task–Technology Fit, Performance Impact, and Utilization. The results indicate that Task Characteristics and Technology Characteristics have a positive and significant effect on Task–Technology Fit. Furthermore, Task–Technology Fit significantly influences Performance Impact and Utilization. Performance Impact also shows a positive and significant effect on the utilization of ChatGPT by students. These findings suggest that the alignment between academic task requirements and the capabilities of ChatGPT plays a crucial role in improving students’ performance and encouraging sustained technology use. The implications of this study highlight the importance of selective and purposeful use of ChatGPT in higher education and provide a reference for higher education institutions in formulating policies related to the ethical and effective integration of artificial intelligence technologies as learning support tools.

Political participation is an important aspect in a democratic state structure, as well as a characteristic feature of political modernization. Political participation influences the legitimacy of society regarding the running of a government. One way of implementing political participation is through General Elections (Pemilu). The aim of this research is to determine the influence of presidential candidate debate broadcasts on multi-platform broadcast media on the political participation of FISIP UMJ student class of 2020. This research has an independent variable, namely presidential candidate debate broadcasts with the dimensions of frequency, attention and duration, and has a dependent variable, namely providing voting rights in elections, lobbying with officials, becoming a member of a political party. This research method uses a survey method by distributing questionnaires online to respondents via Google Form which aims to collect data from a sample of 2020 FISIP UMJ students who actively watch presidential candidate debates and know about political participation, with a total of 66 respondents selected. The data collection tool uses a questionnaire using a Likert Scale. The results of this research show that the presidential debate broadcast has an influence on political participation, which has a value of 0.736 or 73.6%, which means that the presidential debate broadcast influences political participation by 73.6% and the rest is influenced by other factors.

The background of this research stems from the need to reexamine the position of theories of truth in the philosophy of science as a basis for the formation of scientific ethics amid the increasingly complex development of modern science. The concept of truth not only functions as an epistemological guideline in determining the validity of knowledge, but also has a normative dimension that influences the integrity, honesty, and responsibility of scientists in the research process. Based on this, this study aims to analyze various theories of truth, including correspondence, coherence, pragmatism, consensus, performativity, deflationism, and foundationalism, and to explain the relevance of each approach to the formation of scientific ethics. This study uses a literature review method with a descriptive-analytical approach through a systematic search of relevant journals, books, and academic sources, which are then analyzed through thematic synthesis to obtain a comprehensive conceptual understanding. The findings show that each theory of truth has a unique contribution to building scientific ethics. Correspondence emphasizes the importance of empirical verification, coherence emphasizes rational consistency, pragmatism highlights theoretical functionality, consensus places scientific dialogue as the legitimization of knowledge, performativity connects truth with action, the deflationary approach emphasizes clarity of language, and foundationalism provides a stable epistemic foundation. The implications of this research show that the integration of these various theories can form a more robust, holistic, and adaptive framework of scientific ethics to the demands of modern scientific practice. This framework is expected to strengthen an honest, transparent, and accountable scientific culture, while opening opportunities for the development of epistemology-based research ethics guidelines in the future.

This study aims to examine the influence of shopping lifestyle, hedonic shopping value, and e-wallet on impulsive buying behavior among students of the Management Study Program at the Faculty of Economics, Universitas Kristen Indonesia Toraja. This research is quantitative in nature, using multiple linear regression analysis. The sample consisted of 80 respondents, determined using Slovin's formula and purposive sampling technique as the basis for selecting respondents deemed relevant to the research objectives. The results of the study indicate that, partially, shopping lifestyle significantly influences impulsive buying with a t-value of 3.608 and sig = 0.001, hedonic shopping value significantly influences impulsive buying with a t-value of 2.186 and sig = 0.032, and e-wallet significantly influences impulsive buying with a t-value of 3.043 and sig = 0.003. Simultaneously, all three independent variables significantly affect impulsive buying, with a significance value of 0.000 < 0.05. The coefficient of determination (R2) value of 0.223 indicates that the three independent variables explain 22.3% of the variation in impulsive buying behavior, while the remaining 77.7% is explained by other factors not investigated in this study. These findings suggest that shopping lifestyle, the value gained from shopping, and the convenience of digital transactions through e-wallets are triggers for unplanned buying behavior.

This research is motivated by the existence of factors that influence employee performance in a company. The aim of this study is to determine the influence of extrinsic motivation, self-efficacy, and work-life balance on the performance in the 12-cigarette production employees at PT Praoe Lajar Semarang. The population in this study was 120 employees in the 12-cigarette production department at PT Praoe Lajar Semarang. The sample used was purposive sampling, with 60 respondents. The instrument used was a questionnaire and the measurement used a likert scale. The test tool used was SPSS Version 26. Data analysis methods included validity testing, reliability testing, respondent description analysis, multiple linear regression, classical assumption testing, t-test, and coefficient of determination testing. The results indicate that extrinsic motivation has a positive and significant effect on employee performance, indicating that employees are motivated by external influences to improve their performance. Self-efficacy has a positive and significant effect on employee performance, indicating that employees are satisfied with their ability to improve their performance. Work life balance has a positive and significant effect on employee performance, meaning that the higher the work life balance of employees, the better their performance will be.

This study aims to determine whether there is an effect of job training, workload, and work motivation on employee performance at KSP Balo’ta, Tana Toraja Regency. The data collection procedures in this study included interviews, questionnaires, and documentation. The research employed a quantitative method using multiple linear regression analysis, which was processed using SPSS version 23. The sampling technique used was the census (total sampling) method, in which all members of the population were included as samples, totaling 38 respondents. The results of the study indicate that: (1) partially, job training has a significant effect on employee performance. This is evidenced by the t-test results, where the significance value is 0.000 < 0.05 and the calculated t-value is −9.613 > t-table value of 1.691, indicating that variable X1 influences variable Y. (2) workload has a significant effect on employee performance, as shown by the t-test results with a significance value of 0.004 < 0.05 and a calculated t-value of 1.842 > t-table value of 1.691, indicating that variable X2 affects variable Y. (3) work motivation has a significant effect on employee performance, as evidenced by the t-test results with a significance value of 0.000 < 0.05 and a calculated t-value of 4.694 > t-table value of 1.691, indicating that variable X3 influences variable Y. (4) simultaneously, job training, workload, and work motivation have a significant effect on employee performance. This is supported by the F-test results, where the significance value is 0.000 < 0.05 and the calculated F-value is 37.209 > F-table value of 2.883, indicating that variables X1, X2, and X3 simultaneously influence variable Y.

Prelabor rupture of membranes (PROM) remains one of the most frequently encountered obstetric complications and continues to contribute substantially to maternal and neonatal morbidity and mortality. Numerous factors have been associated with PROM; however, the available evidence presents considerable variation, highlighting the need to re-evaluate these determinants using recent empirical findings. This review aims to identify and synthesize the principal factors influencing PROM based on ten studies published within the last five years. A systematic search was conducted across PubMed, Scopus, Web of Science, and Google Scholar using predefined keywords, followed by screening through established eligibility criteria. Relevant data from each study including study design, geographical setting, assessed risk factors, and statistical outcomes such as odds ratios or relative risks  were extracted and compared. The review indicates that reproductive and urinary tract infections, inadequate nutritional status, high-risk obstetric history, and short interpregnancy intervals consistently emerge as major determinants. Social factors and the quality of antenatal services were also shown to heighten the likelihood of PROM. Overall, the findings emphasize that PROM arises from a combination of medical and non-medical influences, reinforcing the need for preventive strategies that adopt a comprehensive and integrated approach.

This study aims to analyze the role of social media in driving innovation in flavor, shape/appearance, and modern perception of Indonesian traditional snacks in the digital era through a literature review from 2020–2025. Social media functions not only as a promotional tool but also as a creative and collaborative space that influences how traditional snacks are created, modified, and perceived. The findings indicate that social media accelerates the spread of new flavor trends and encourages the exploration of modern tastes without abandoning cultural identity. In addition, visual aesthetics on social media inspire innovation in the shape and presentation of snacks to make them more appealing and easily viral. Social media also shapes modern perceptions through cultural storytelling that rebrands traditional snacks as contemporary, relevant, and culturally valuable. However, challenges arise from the limited digital and branding skills among MSME actors. Overall, social media serves as a catalyst for the synergy of flavor, visual, and cultural innovation, bridging tradition and modernity in the development of local culinary products.

This research aims to analyze the role of internal social media (ISM) in facilitating collaboration and innovation among employees within organizations. With the increasing adoption of digital platforms in the workplace, ISM has become an important tool for enhancing communication, knowledge sharing, and social interaction. This study explores how the use of ISM influences employee collaboration, leading to increased innovation and overall organizational performance. Through surveys and interviews with employees across various industries, this research gathers data on ISM usage, perceptions of collaboration, and levels of innovation. The results of the study indicate that ISM plays a significant role in enhancing employee collaboration by providing a platform for easy communication, information sharing, and community building. Furthermore, the study finds that collaboration facilitated by ISM positively impacts employee innovation, leading to the development of new ideas, improved processes, and enhanced products. This research highlights the importance of ISM in fostering a culture of collaboration and innovation within organizations and provides practical insights for organizations looking to leverage ISM for competitive advantage.

Leadership plays a crucial role in realizing digital transformation. Leaders who possess the ability to lead and utilize technology are called digital leaders. The era of information technology development, artificial intelligence, and the use of big data in the government sector will help improve services and accelerate work. The purpose of this study is to determine the role of digital leadership in digital transformation in the government sector. The research method used is a qualitative method with a literature study approach. The results show that the role of digital leadership is crucial in realizing digital transformation. By utilizing information technology, work processes in the government sector will be increasingly facilitated. In addition, the use of big data will simplify the decision-making process by leaders. Digital leadership also influences organizational culture, creating an environment that is more adaptive to technological changes. This enables government organizations to innovate more quickly in facing global challenges and increase operational efficiency. Furthermore, digital leadership also encourages collaboration between government agencies to achieve the common goal of accelerating digital transformation.