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This article discusses the concept of fitnah in Islam, focusing on its definition, forms, risks, and social impacts. Fitnah, referring to false accusations, deceit, and the spreading of misleading information, can pose a serious threat to individual integrity and social balance. The study employs a qualitative descriptive approach with a literature review from classical Islamic texts, Quranic verses, the teachings of the Prophet, and the latest scholarly articles from trusted sources. The findings indicate that fitnah is a significant moral and social violation that can lead to various issues, such as conflicts, defamation, social division, and the loss of trust within society. The study also emphasizes the importance of Islamic ethical principles in preventing and addressing fitnah, especially in the digital age, where information can spread rapidly and widely. The study concludes that preventing fitnah requires an increase in public literacy, more ethical communication, and adherence to Islamic values that emphasize honesty and caution in disseminating information. These efforts are expected to reduce the negative impact of fitnah in social life and foster a more harmonious society.

This study was motivated by the low level of internalisation of religious values in Islamic Religious Education, especially at the madrasah level, where the process of instilling valuesoften stops at the cognitive level. This study aims todescribe the process of internalising religious values through the film Laut Tengahand assess its effectiveness in improving students' understanding andappreciation of religious values at MTs Manbail Futuh 2 Bancar. The approach used was qualitative with a case study design, because the phenomenon under reviewwas contextual and required in-depth understanding. Datawere collected through direct observation during learning, interviews with teachers andstudents, as well as documentation of learning tools and film clips. Data analysiswas carried out through data condensation, data presentation, and drawingconclusions using the Miles, Huberman, and Saldaña model. The results showedthat the film Laut Tengahwas effective in facilitating the internalisation of religious values through the visual,emotional, and cognitive engagement of students. Students were able to identify values such ashonesty, patience, discipline, gratitude, and social awareness, anddemonstrated appreciation reflected in their self-reflections. With teacher guidance, films became a medium capable of connecting values with the real experiences ofstudents.

Digital payment systems have become one of the main innovations in financial transformation. Over the past few years, these systems have gained significant traction and are now at the forefront of reshaping financial landscapes globally. Currently, digital payment systems have changed global transactions by slowly replacing the transaction patterns of societies that were previously dominated by conventional transactions, offering more efficiency, security, and accessibility. This transformation is closely related to the development of fintech, which has given rise to instruments in the form of electronic money and blockchain technology. These advancements have not only changed the way payments are made but also enabled the inclusion of previously underserved populations in the financial ecosystem. This study uses a bibliometric approach to analyze scientific publications, with the main sources coming from Scopus using the keywords “digital payment systems,” “electronic money,” and “fintech.” By utilizing Biblioshiny in the VOSviewer application, this study aims to examine publication trends, contributions from various countries, institutions involved, and thematic connections between topics. In conclusion, this study contributes to expanding the understanding of the development of digital payment systems, while also presenting a global research map that can be used as a reference for academics, researchers, and policymakers involved in financial innovation.

Shaping central banking for sustainability has become increasingly relevant as climate change and the pursuit of sustainable development challenge the conventional scope of monetary policy. Green monetary policy reflects efforts to align central banking with environmental and economic objectives, yet the scholarly literature on this issue remains fragmented. This study employs a bibliometric approach using R Studio (Bibliometrix) to analyze publications indexed in Scopus from 2015 to 2025. The dataset comprises more than 1,200 documents with an annual growth rate of nearly 12%, signaling the rapid expansion of research in this field. Bibliometric techniques, including citation mapping, co-authorship analysis, and keyword co-occurrence, are applied to identify influential authors, sources, and thematic clusters. The results indicate a steady increase in international collaboration and a consolidation of research themes, reflecting the growing importance of sustainability in central banking discourse. This study is expected to contribute by providing a structured overview of the intellectual landscape of green monetary policy, clarifying its links with sustainable development and climate change, and offering guidance for future research and policy innovation in sustainable central banking.

Smart industry has become an important trend in the development of Industry 4.0, especially in promoting the creation of efficient systems in the manufacturing sector. Various countries and studies are encouraging the application of technologies such as IoT, digital twins, artificial intelligence, and smart factories to improve industrial efficiency and sustainability. Therefore, studies related to smart industry are important and necessary especially on the context of smart manufacturing in order to see the direction of future research trends. This study uses a qualitative approach with literature data from the Scopus database covering the period 2020 to 2025. Research trend analysis was conducted through data processing using Bibliometric analysis in R Studio and the VOSviewer applications. To identify the latest research trends regarding smart industry, particularly in the context of Industry 4.0 and smart manufacturing, this analysis can provide a comprehensive picture of future research developments and directions within a global context.

The implementation of the One-Stop Integrated Service (PTSP) Website at the Ministry of Religious Affairs of Jambi City is part of the digital transformation of public services. This study aims to measure user satisfaction with the PTSP Website using the End User Computing Satisfaction (EUCS) method and the DeLone & McLean model. This research employed a quantitative approach using a survey method involving 100 respondents who are users of the PTSP Website. The EUCS variables consist of content, accuracy, format, ease of use, and timeliness, while the DeLone & McLean model includes system quality, information quality, and service quality. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0 software. The results indicate that system quality, information quality, and service quality have a positive effect on user satisfaction with the PTSP Website. This study is expected to serve as an evaluation reference for improving the quality of digital public services.

Artificial Intelligence (AI) has become a significant driver of innovation in the banking sector, especially in the context of post-pandemic digital transformation. AI is widely utilized in areas such as fraud detection, credit evaluation, risk management, and customer interaction, attracting considerable interest from both academics and industry professionals. This research explores the recent advancements in AI within the banking industry, focusing on studies published between 2020 and 2025. A bibliometric approach is employed, using data from the Scopus database and bibliometric tools like VOSviewer and R Studio to visualize keyword networks and track emerging trends. The study aims to identify influential authors, journals, and countries contributing to AI research in banking. By analyzing these developments, the research highlights the contributions of AI to improving operational efficiency, data security, and financial inclusion, particularly in the Indonesian context. This work offers valuable insights into the ongoing integration of AI in the banking sector and its potential to shape future financial services, emphasizing its relevance to both global and regional markets.

The integration of big data in the financial sector has increasingly attracted scholarly attention, particularly in areas such as risk management, fraud detection, algorithmic trading, and investment optimization. Given the rapid development of this field, it is essential to map research trends and identify emerging directions that shape the future of financial innovation. This study applies a bibliometric approach using 3,829 articles retrieved from the Scopus database from 1981 to 2025, with data processed through R Studio and the Bibliometrix-Biblioshiny application. The objective is to explore the intellectual landscape of big data finance and reveal research frontiers as well as thematic evolution. The results show a sharp increase in publications after 2015, alongside the growth of fintech and artificial intelligence applications, with dominant themes including blockchain integration, risk analytics, and predictive modelling. Cross-disciplinary and cross-regional collaborations continue to expand. These findings provide a comprehensive overview of how big data has shaped financial studies and offer insights for potential future research directions.

The development of information technology has driven digital transformation in various sectors, including the food and beverage (F&B) industry. However, many small to medium-scale F&B businesses still rely on manual ordering systems, resulting in long queues, order recording errors, limited menu information, and suboptimal user experience. This study aims to design the user interface (UI) and user experience (UX) of a web-based Smart Ordering System that provides convenience, efficiency, and comfort in the food ordering process. The research method used is the Design Thinking approach, which includes empathize, define, ideate, prototype, and testing stages. The design process involves user needs analysis, user flow development, wireframe creation, and high-fidelity prototype development using Figma. Usability testing is conducted using the Single Ease Question (SEQ) method to evaluate ease of use and user satisfaction. The results indicate that the proposed UI/UX design provides a clear ordering flow, intuitive interface, and easy-to-understand user experience. Based on the SEQ results, most users experienced no difficulty in using the system, indicating that the design meets usability criteria with a very good category and is suitable for implementation in the F&B industry.

Digital transformation has significantly reshaped human resource management (HRM) through the adoption of Human Resource Information Systems (HRIS), artificial intelligence (AI), big data analytics, e-learning platforms, and remote work technologies. Although these innovations improve efficiency and decision-making, they also generate ethical challenges related to data privacy, algorithmic bias, transparency, and employee monitoring. This article examines the role of professional ethics in HRM within the context of digital transformation, highlighting both emerging challenges and potential opportunities. This study employs a conceptual research approach supported by a comprehensive literature review of scholarly works on HRM, professional ethics, and digitalization. The analysis focuses on core ethical principles such as integrity, fairness, responsibility, professionalism, and confidentiality, and evaluates their implementation in digital HR practices. The findings indicate that unethical use of digital technologies may lead to discrimination, reduced employee trust, and violations of individual rights, particularly through biased AI-based recruitment systems and opaque performance evaluation mechanisms. However, digital transformation also offers opportunities to strengthen ethical HR governance. The use of ethical data management, algorithmic audits, digital transparency, and e-learning-based ethics training can enhance accountability and fairness in HR processes. The study concludes that integrating professional ethics with digital HRM is essential for developing human-centered, sustainable, and trustworthy organizations in the digital era.

This study aims to analyze the effect of the use of kahoot game media on the cognitive learning outcomes of moral beliefs in grade VII C MTS negeri 1 Tuban students. The background of this research is the low enthusiasm and learning outcomes of students in learning moral beliefs which are still dominated by conventional methods while the characteristics of agency students demand a more interactive and adaptive learning approach to technology. This study uses a quantitative approach with a quasi-experimental design of one group pretest design involving 34 students as a sample. This research instrument is in the form of a multiple-choice cognitive learning outcome test of 20 questions covering 4 levels of bloom taxonomy, namely remembering, understanding, applying, and analyzing. The data was analyzed using descriptive statistics and normalistic calculations, the results of the study showed a significant increase in students' cognitive learning outcomes where the average class score increased from 66.03 in the pre-test to 80.29 in the post-test with an engine value of 0.42 which was in the medium category. These findings identify that kahood media has a positive impact on improving students' cognitive learning outcomes.

The objective of this study is to directly analyze and illustrate the compositioneof the auditecommittee, which consists of financial knowledge, independence and the quantity of members on the committee, concerning the financial statement quality of energy sector industries listed on the IDX in 2023-2024.High-quality financial statements are a crucial component reflecting the outcome of the accounting process and are vital for stakeholders in decision-making. Despite regulatory requirements for audit committees, corporate financial statements in Indonesia often contain earnings management or accounting irregularities, indicating that the audit committee's very existence is insufficient to guarantee financial statements' quality. A numerical approach with a causal-comparative approach is utilized in this investigation. The secondary quantitative data are obtained from companies’ yearly financial statements, annual reports, and corporate governance disclosures published on the official IDX website. The data are examined using EViews software for panel data regression, going through many steps, including descriptive statistics, classical assumption testing, panel data model selection, and regression analysis for hypothesis testing. The audit committee's size, objectivity, and financial acumen make up the study's independent variables. Meanwhile, financial statement quality as the dependent variable is measured through earnings quality proxy using the discretionary accruals calculation approach (Jones model or Modified Jones model). Specifically, this research seeks to deliver theoretical and practical benefits for regulators in formulating corporate governance policies, give companies a comprehension of the importance of an effective audit committee, and help investors make informed investment choices.

This research describes the role of the Zakat Collection Unit (UPZ) in community empowerment in Mojopuro Village, Jatiroto District, Wonogiri Regency. The background of this study lies in the condition of the UPZ, which had been established yet was not optimal in its management and functional capacity for zakat administration. Employing a qualitative approach with a case study method, data were collected through observations, interviews with BAZNAS and mosque administrators, as well as documentation of seminars and the inauguration of zakat administrators. The findings reveal that the establishment and inauguration of the UPZ by BAZNAS marked the beginning of strengthening village-level zakat institutions. Seminars for mosque administrators improved their understanding of zakat management in accordance with Islamic law and fostered collective awareness of the importance of zakat for economic empowerment. The UPZ plays a role in identifying mustahik, managing funds transparently, and distributing them through community-based productive programs. The UPZ, guided by BAZNAS, holds a strategic role in reinforcing the zakat management system at the village level and has the potential to become an effective instrument for community economic empowerment.

This study aims to examine self-confidence issues in elementary school students, particularly second-grade students at SDN 1 Gulang. Various problems identified included shyness, low self-confidence, fear of performing in front of the class, and a tendency to withdraw from social settings. This study used a qualitative approach with data collection techniques including interviews and observations to identify factors contributing to low self-confidence and the roles of teachers and parents in developing it. The results indicate that low student self-confidence is influenced by internal factors, such as fear, anxiety, and lack of courage, as well as external factors, including family parenting styles, the social environment, and learning experiences at school. Teachers play a strategic role by providing emotional support, positive motivation, and implementing active learning strategies that encourage student engagement. Furthermore, parents play a crucial role in providing guidance, supportive parenting styles, and appropriate social stimulation. This study concludes that efforts to improve student self-confidence require consistent and ongoing collaboration between teachers and parents.

This article examines various guidance and counseling (BK) management models relevant to the context of modern education in Indonesia. The models discussed include POAC (Planning, Organizing, Actuating, Controlling) management, comprehensive BK services, school-based BK management, specialized service management, and the use of digitalization in BK services. This review was compiled using a literature review method, drawing on various credible national sources, such as scientific journals, reference books, and education policy documents. The purpose of this research is to provide an in-depth understanding of the characteristics, principles, and implementation of each BK management model in educational practice. The results indicate that each model has its own advantages and limitations, both in terms of service planning, resource management, and the effectiveness of service delivery to students. Therefore, the selection and implementation of a BK management model must be tailored to the needs of the school, the availability of professional staff, infrastructure, and student characteristics. The integration of a systematic, data-driven, and adaptive management approach to developments in information technology is a key factor in improving the quality and effectiveness of BK services. This article is expected to provide theoretical and practical contributions to school counselors, educators, and education policymakers.  

Budget efficiency is an important issue in state financial management because it is directly related to government spending priorities and their impact on public service programs. Discussions about budget efficiency policies are widespread on social media platform X, generating diverse public responses, thus necessitating an automated approach to understand public opinion trends more quickly and objectively. This research aims to analyze the sentiment of Indonesian people toward budget efficiency policies and compare the performance of the Naïve Bayes and Support Vector Machine (SVM) algorithms in classifying sentiment. The research data used 10,909 Indonesian-language tweets sourced from a public dataset, which were then processed thru the preprocessing stages including cleaning, case folding, normalization, tokenization, stopword removal, and stemming. Sentiment labeling is performed automatically using the Indonesian Sentiment Lexicon (InSet) approach to categorize data into positive, negative, and neutral sentiments. Feature extraction was performed using Term Frequency–Inverse Document Frequency (TF-IDF), and then the data was divided into training and testing sets with an 80:20 ratio. Model performance evaluation was conducted using a confusion matrix and the metrics of accuracy, precision, recall, and F1-score. The research results show that sentiment distribution is dominated by negative sentiment at 56.78%, followed by positive sentiment at 37.40%, and neutral sentiment at 5.83%. In the classification stage, SVM performed best with an accuracy of 86%, while Naïve Bayes achieved an accuracy of 74%. These findings indicate that SVM is more optimal for sentiment classification on social media text data and can be utilized to more effectively support the analysis of public response to budget efficiency policies.

The rapid growth of e-commerce platforms in Indonesia, particularly Tokopedia, has resulted in a large volume of consumer reviews containing valuable information regarding customer perceptions and satisfaction. However, manual analysis of such reviews is inefficient and prone to subjectivity, necessitating an automated approach based on machine learning. This study aims to classify the sentiment of sports product reviews on Tokopedia into positive, negative, and neutral categories by applying Logistic Regression, Support Vector Machine (SVM), and Random Forest using the Term Frequency–Inverse Document Frequency (TF-IDF) approach. The data were collected through web scraping of Indonesian-language sports product reviews and processed through several preprocessing stages, including data cleaning, case folding, tokenization, stopword removal, and stemming. Feature representation was performed using TF-IDF to transform textual data into numerical vectors, after which the dataset was divided into training and testing sets with an 80:20 ratio. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the application of TF-IDF significantly improves the performance of all models, with SVM consistently achieving the most optimal performance compared to Logistic Regression and Random Forest. These findings demonstrate that classical machine learning algorithms combined with TF-IDF remain highly effective for sentiment analysis of Indonesian-language text. The implications of this study are expected to assist sellers in understanding customer opinions, support consumers in making informed purchasing decisions, and serve as a foundation for the development of sentiment analysis and recommendation systems on e-commerce platforms.

Islamic character education faces dual challenges: declining moral values among students and conventional teaching methods inadequate for developing higher-order thinking skills. This study examines the implementation of a smart learning environment (SLE) model to enhance metacognitive understanding in Aqidah Akhlak (Islamic Creed and Ethics) instruction among eighth-grade students at MTs Salafiyah Merakurak. Employing a mixed-methods action research design, involved 16 eighth-grade students divided into two groups. Data collection utilized classroom observations, semi-structured interviews, and learning documentation. The SLE model integrated Google Classroom, interactive video content, WhatsApp Group discussions, and Google Forms assessments to create a technology-enhanced learning ecosystem. Findings revealed substantial improvements in students' metacognitive capacities: planning skills increased from 25% to 75%, monitoring abilities rose from 31% to 81%, and evaluation competencies grew from 19% to 69%. Students demonstrated enhanced learning autonomy, active participation in collaborative discussions, and improved self-reflection on content comprehension. The SLE approach successfully fostered engaging learning experiences while facilitating deeper internalization of Islamic ethical values. However, implementation encountered constraints including limited technological infrastructure and varied digital literacy levels among students. This research underscores the critical need for developing teachers' digital competencies and strengthening madrasah technological infrastructure to optimize technology-integrated Islamic education.

This study aims to analyze the influence of Corporate Image and Service Quality through Customer Satisfaction on Customer Loyalty at Semen Indonesia distributors in Gresik using the Structural Equation Modeling (SEM) approach. The study population consisted of 102 customers, all of whom were sampled. The results indicate that Corporate Image and Service Quality have a significant influence on Customer Satisfaction. Both variables were also shown to have a significant influence on Customer Loyalty. However, unlike several previous research findings, Customer Satisfaction did not have a significant influence on Customer Loyalty. This finding indicates that in the context of the cement distribution business, customer loyalty is not formed solely from satisfaction, but is more influenced by other factors such as consistent service quality, a strong corporate image, competitive pricing, and long-term business relationships. This study emphasizes the importance of strengthening image and improving service quality as key strategies for maintaining customer loyalty.

This study aims to analyze the implementation of the Merdeka Curriculum in Fiqh subjects and how its application affects the improvement of students' understanding. Using the library research method, this study reviews various recent literature in the form of scientific articles, accredited journals, academic books, and relevant policy documents. The results of the study show that the Merdeka Curriculum is conceptually aligned with the principles of Islamic education, especially in terms of character development, freedom of learning, and student-centered learning. However, the implementation of this curriculum in Fiqh learning still faces a number of challenges, such as teachers' limited understanding of the new curriculum approach, a lack of project-based contextual teaching materials, and difficulties in conducting authentic assessments on aspects of worship and morals. Technical challenges such as the availability of facilities and access to technology also hamper the effectiveness of learning. This study emphasizes the need for continuous teacher training, the development of open-access learning resources, and improved infrastructure support in order to strengthen the implementation of the Merdeka Curriculum. Overall, this curriculum has significant potential to improve students' understanding of Fiqh if it is supported by appropriate and collaborative implementation strategies.