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This study aims to analyze strategies for increasing reading interest in developing a literate generation among elementary school students and to identify factors influencing literacy culture within school and family environments. The phenomenon of low reading interest among elementary school students has become a significant concern because the rapid development of digital technology tends to shift students’ attention from reading activities to audiovisual entertainment. This research employed a descriptive qualitative approach using a case study method at SDN 1 Notoharjo. Data were collected through semi-structured interviews, observations, and documentation studies. The participants consisted of one classroom teacher and four third-grade students of SDN 1 Notoharjo. Data analysis was conducted through data reduction, data display, and conclusion drawing, while data validity was tested using source triangulation and method triangulation. The findings revealed that literacy strengthening was implemented through morning reading activities, book discussions, the use of visual and digital media such as e-books, and the utilization of reading corners and school libraries. The study also found that students’ reading interest was influenced by the availability of reading materials, the comfort of literacy environments, family support, and the dominant use of gadgets for entertainment purposes. This study contributes scientifically by strengthening the concept of collaborative literacy involving schools, families, and digital technology in developing reading culture among elementary school students. The findings imply the need for more integrated, adaptive, and sustainable literacy programs to improve students’ reading interest in the digital era.  

Inclusive education aims to provide equal learning opportunities for all students, including those with special needs, within regular educational settings. However, mathematics learning in inclusive classrooms remains challenging because mathematical concepts are often abstract and require logical reasoning that may not be easily accessible to learners with diverse cognitive characteristics. Ethnomathematics has emerged as an alternative approach by integrating cultural practices, local wisdom, and students’ daily experiences into mathematics instruction, creating more meaningful and accessible learning environments. This study aims to analyze the development, implementation patterns, opportunities, and research gaps related to ethnomathematics in inclusive mathematics learning. A literature review method was employed by examining scientific publications from 2020–2025 obtained from Google Scholar, Scopus, ERIC, Springer, and ProQuest databases. Data were analyzed through content analysis involving reduction, classification, interpretation, and synthesis. The findings indicate that ethnomathematics has been implemented through cultural artifacts, digital teaching materials, and project-based contextual learning. The approach supports inclusive learning through multi-representational access, instructional adaptations, scaffolding strategies, and collaborative teaching practices aligned with Universal Design for Learning principles. Furthermore, ethnomathematics enhances students’ motivation, conceptual understanding, mathematical literacy, and cultural identity. Nevertheless, studies focusing on disability-specific adaptations and long-term learning outcomes remain limited and require further investigation.

This study aims to analyze public sentiment toward the hashtag #KaburAjaDulu, which has circulated widely on the social media platform X (formerly Twitter). The hashtag reflects the growing anxiety among the public, especially younger generations, regarding socio-political issues in Indonesia. The data were collected using web scraping techniques, focusing on user-generated tweets that contain the hashtag. A comprehensive text preprocessing phase was conducted to clean the raw data by removing irrelevant elements such as URLs, emojis, numbers, and punctuation. The research applies a hybrid classification approach using a combination of Support Vector Machine (SVM) and Random Forest algorithms to categorize sentiment into three classes: positive, negative, and neutral. The performance of the model was evaluated using metrics such as accuracy, precision, recall, and F1-score to determine the effectiveness of the classification. The study aims to demonstrate that combining algorithms can improve classification performance compared to using a single algorithm. This research contributes to the field of sentiment analysis and provides valuable insights for researchers, policymakers, and social observers in understanding public opinion trends in digital media.

The development of social media, especially TWITTER, has become one of the main means for people to express opinions and criticism on various issues, including the performance of law in Indonesia. This study aims to analyze public sentiment towards the performance of law based on TWITTER user comments using the Naïve Bayes algorithm. The research data consists of 1004 comments collected from several videos related to legal topics. The analysis process includes the stages of data crawling, pre- processing (text cleaning, normalization, and tokenization), labeling sentiment into positive, negative, and neutral, and testing the Naïve Bayes model. The results show that the Naïve Bayes algorithm is able to classify sentiment with an accuracy level of 93.73%. The distribution of sentiment from 1004 comments shows that the majority of public opinion is (negative/positive/neutral), which indicates that public perception of the performance of law is still (critical/positive). These findings are expected to be input for related parties to understand public opinion and improve the quality of legal performance in

Social media X (Twitter) has become the main platform for the Indonesian public to express opinions, including on the trend of 'kabur aja dulu' (let's just run away for a bit). This research aims to classify the sentiments of the public using the Naïve Bayes and Support Vector Machine (SVM) methods, and to compare the accuracy of both in sentiment analysis. Data was collected via the Twitter API with the hashtag #kaburajadulu, resulting in 2,067 tweets, which, after the cleansing process and manual labeling, left 385 data points. The analysis process followed the CRISP-DM stages, which include business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Model evaluation was conducted using a confusion matrix with accuracy, precision, and recall metrics. The classification results show that 82% of tweets have a positive sentiment and 18% negative. The Naïve Bayes algorithm achieved an accuracy of 86.49%, slightly lower than SVM, which reached 88.05%. In conclusion, Support Vector Machine is more effective in sentiment classification on public opinion data. This research contributes to the digital mapping of public opinion and recommends the development of automatic labeling methods as well as the exploration of advanced algorithms in the future.

QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The research data was obtained from Twitter user comments collected through web scraping techniques. The text data then went through a preprocessing stage that included cleansing, stopword filtering, stemming, and tokenizing to be prepared as features ready to be processed by the model. The data was divided into training (80%) and testing (20%) subsets for model training and validation. The results showed that the Naive Bayes model was able to predict user satisfaction sentiment with an accuracy of 80.99%. These findings indicate that the model is highly accurate in identifying satisfied comments and sufficiently sensitive in detecting dissatisfaction. This study concludes that sentiment analysis of Twitter UGC data using Naive Bayes is an effective and efficient approach for predicting QRIS user satisfaction in real time. The practical implication of this study is to provide an automatic feedback system for service providers to monitor public sentiment and take targeted corrective actions.

The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.

The enactment of Indonesia's Law Number 20 of 2025 on the Code of Criminal Procedure (KUHAP 2025), effective January 2, 2026, introduces a paradigmatic shift in the coordination between investigators and public prosecutors: Article 58 mandates active coordination from the investigation stage, fundamentally departing from the sequential-passive model of the former KUHAP, while Article 70 imposes a strict seven-day deadline for indictment drafting after case files are declared complete. This study examines two interconnected questions: (1) how the legal framework governing investigator–prosecutor coordination is structured under KUHAP 2025 and related legislation; and (2) how that framework is implemented in practice at the Purwakarta District Prosecutor's Office. A normative–empirical mixed-method design was employed, integrating statutory, conceptual, and case-study approaches. Data were gathered through in-depth interviews with prosecutors and investigators at Purwakarta District Prosecutor's Office and Purwakarta Police Resort, case document analysis, and field observation. The theoretical framework combines Lawrence M. Friedman's Legal System Theory and Soerjono Soekanto's Law Enforcement Theory. Findings reveal that KUHAP 2025 delivers substantial normative advancement yet harbours three critical regulatory gaps: the absence of binding technical protocols for implementing mandatory active coordination, the lack of uniform and measurable case-file completeness standards, and no formal mechanism for resolving institutional disagreements on legal interpretation. On the ground, coordination at Purwakarta still operates under the old sequential-passive pattern despite the new law: case-file returns (P-19) remain frequent, driven primarily by absent expert testimony, insufficient factual narration in examination records, and mismatches between charged articles and legal facts. A Friedman–Soekanto diagnostic reveals simultaneous dysfunction across all three legal system components substance, structure, and legal culture with the entrenched 'waiting culture' between the police and the prosecution identified as the most resistant obstacle to reform.

This article examines the dialogue between John Calvin’s educational thought and the Merdeka Curriculum within the context of Christian Religious Education (PAK) in Indonesia. Employing a qualitative-comparative approach with descriptive analysis, this study traces the points of convergence and tension between Calvin’s educational principles particularly the concept of imago Dei, holistic education, and the God-centered purpose of education and the principles of the Merdeka Curriculum such as flexibility, differentiated learning, and the Profil Pelajar Pancasila (Pancasila Student Profile). The analysis reveals significant convergence in terms of respect for the potential and uniqueness of learners, holistic educational orientation, and the role of teachers as facilitators and character formers. However, fundamental tensions also exist regarding Calvin’s theocentric theological foundation vis-à-vis the secular Pancasila foundation, the concept of discipline and authority versus student freedom, and the ultimate goal of education glorifying God versus forming the Pancasila Student Profile. Based on these findings, this article offers practical recommendations for PAK curriculum design based on the Merdeka Curriculum, a Kingdom of God-nuanced project-based learning approach, holistic assessment, and Christian character formation within the Profil Pelajar Pancasila framework. This research contributes to filling the gap in studies that dialogue the Reformed theological tradition with contemporary Indonesian national education policy.

The development of digital technology has brought significant changes in the field of education, especially in the learning process, school management systems, and teachers' work patterns. This situation requires school principals' leadership who can adapt, be innovative, and act as agents of change in improving teachers' work ethic. This study aims to analyze the role of school principals' transformational leadership in enhancing teachers' work ethic in the digital era and to examine its relevance to educational transformation. The research method used is a qualitative approach with a literature study type through the analysis of various journals and scientific sources from 2020–2025. The results of the study indicate that school principals' transformational leadership plays an important role in increasing teachers' motivation, commitment, and professionalism through ideal influence, inspirational motivation, intellectual stimulation, and individualized consideration. In addition, this leadership is also capable of creating a work culture that is collaborative, innovative, and adaptive to technological developments. Digital transformation in education not only involves the use of technology but also changes in work culture and the improvement of human resource competencies in schools. The implications of this research confirm that school principals as transformational leaders have a strategic role in the success of educational transformation in the digital era through the continuous enhancement of teachers' work ethic.

This study aims to analyze the relevance of Robert Raikes' Christian educational thinking to the character formation of children in contemporary Sunday School services. This study uses a qualitative approach with a library research method. Data were obtained from various literature sources such as books, scientific journals, and research articles related to Christian education, character education, and the history of Sunday School development. Data analysis techniques were carried out through the stages of data reduction, grouping themes, interpretation, and drawing conclusions using descriptive qualitative methods. The results show that Robert Raikes' thoughts remain relevant in modern Christian education, especially in the formation of children's character through the teaching of God's Word, discipline, role models, and the instilling of Christian values. Sunday School plays an important role as a means of fostering faith, morality, and social responsibility in children from an early age. In addition, the challenges of the digital era require churches to develop more creative, interactive, and contextual learning methods without abandoning the basic values ​​of the Christian faith. This study confirms that the success of children's character formation depends not only on the church, but also on the role of Sunday School teachers and families who work together to build a conducive spiritual environment. Thus, Robert Raikes' thinking makes an important contribution to the development of Christian education that is relevant in the modern era.

The rise of social media has created a digital public sphere that enables users to express their opinions on social and political issues openly and in real-time. One of the most discussed topics on social media platform X is the trending hashtag #IndonesiaGelap, which reflects public concern and criticism regarding various governmental and societal conditions. This study aims to conduct sentiment analysis on tweets containing the hashtag to determine the overall sentiment trend among users. The method employed in this research is the Naive Bayes classification algorithm, known for its simplicity and effectiveness in text classification. To enhance the model’s performance, Particle Swarm Optimization (PSO) is applied to optimize feature selection and parameter tuning. The dataset consists of public tweets collected via the Twitter API, followed by preprocessing, feature extraction using TF-IDF, and sentiment classification into three categories: positive, negative, and neutral. The results indicate that the integration of PSO significantly improves the classification accuracy of the Naive Bayes model compared to the baseline. The majority of tweets related to #IndonesiaGelap exhibit a negative sentiment, indicating widespread public dissatisfaction and criticism. This research is expected to contribute to a better understanding of public perception and serve as valuable input for stakeholders in addressing social issues in the digital age.

Given the important objectives that banks strive to achieve through financial stability and their role in ensuring its continuity and ability to face various economic challenges, many have expanded their policies beyond their traditional functions by adopting a range of additional practices and activities that contribute to strengthening their developmental role in society. Among the most prominent of these practices are corporate social responsibility (CSR) activities, which have become a crucial aspect of the work of contemporary financial institutions. In this context, this research highlights CSR practices in banks. It relied on a sample of nine Iraqi banks listed on the Iraq Stock Exchange, which are characterized by their continued banking operations and regular publication of their annual financial reports. The research period was set from 2014 to 2023, and included a set of statistical tests that incorporated a number of financial determinants as control variables to determine their contribution to enhancing the impact of CSR when included alongside it, and to define the nature of the relationship between the research variables. We have reached a number of conclusions, most notably that when regulatory variables are included in the analysis model, this effect becomes statistically insignificant, which indicates that banks’ interest in internal financial factors still outweighs their interest in social aspects.

This study investigates the decoupling phenomenon between ESG (Environmental, Social, and Governance) sustainability reporting and communal Tri Hita Karana (THK) sustainability practices in a Rural Bank in Bali. Through Ethnographic Content Analysis (ECA) of official documents from BPR Luhur Damai covering 2023–2025, this study identifies that the Sustainability Report (SR), prepared strictly according to Financial Services Authority Regulation (POJK) 51/2017, does not incorporate substantial THK practices, namely banten (ceremonial offerings) Rp131.6 million, dana punia (religious donations) Rp8.5 million, and monthly banjar (communal community unit) contributions, producing a Hindu religious expenditure to formal Social and Environmental Responsibility (SER) ratio of 10:1. Drawing on the Institutional Logics perspective, this study identifies four decoupling mechanisms: (1) cognitive, namely THK as taken-for-granted, not perceived as “sustainability”; (2) administrative, namely departmental silos between Compliance and General Affairs; (3) template, namely POJK 51/2017 provides no space for local wisdom; and (4) capacity, namely limited Human Resources (HR) and institutional capacity. These findings lead to the concept of “invisible sustainability,” that is, real sustainability contributions that are invisible to conventional reporting frameworks, and “cultural accounting gap,” that is, the absence of accounting categories for local cultural-religious contributions. The theoretical contribution is demonstrating that decoupling in Global South contexts is not merely symbolic compliance but results from structural misalignment between transnational and communal logics that renders local sustainability contributions institutionally invisible.

Based on the 2023 Indonesian Health Survey, the prevalence of overweight among adults reached 23.4% nationally and 24.5% in East Java Province. This condition highlights the need for food innovation, particularly high-fiber snacks suitable for overweight adults. This study aimed to develop cereal based on okara (soy pulp) flour and mung bean flour as an alternative high-fiber food product. Organoleptic testing was conducted on 30 semi-trained panelists evaluating color, aroma, texture, and taste using hedonic and hedonic quality tests. Data were analyzed using the Kruskal–Wallis test followed by the Mann–Whitney test, while nutrient content analysis was analyzed using One Way ANOVA followed by Duncan’s post hoc test. The results showed that in the hedonic test, color, texture, and taste parameters were significantly different (p<0.05), while aroma was not significantly different (p>0.05). In the hedonic quality test, color and taste showed significant differences (p<0.05), whereas aroma and texture did not (p>0.05). Overall, formulation 922 was the most preferred by panelists. The nutritional content of the cereal ranged from 407–410 kcal for energy, 76.44–77.53% carbohydrates, 8.91–9.66% protein, 6.80–7.30% fat, 5.20–5.51% moisture, 1.26–1.41% ash, and 9.72–10.90% total dietary fiber. The developed cereal is classified as a high-fiber food and has potential as a healthy snack for overweight adults.

To address the negative impacts of teenage romantic relationships on peer dynamics and academic achievement at SMP Negeri 5 Sipahutar, school authorities implemented a regulation prohibiting dating, in line with Pancasila character education principles. This study aimed to evaluate the influence of this policy on fostering positive social behavior among ninth-grade students. The research employed a quantitative descriptive approach and involved 81 students as respondents. Data were collected using a four-level multiple-choice agreement questionnaire consisting of ten items. The analysis results showed a total score of 2707, a mean score of 33.42, a standard deviation of 4.8, and an average scale score of 3.34. The findings revealed that 78.2% of students agreed that the regulation encouraged peer cooperation, improved discipline in obeying school rules, and supported effective group learning. In addition, the policy appeared to contribute to a more positive school environment by reducing distractions associated with adolescent dating behavior. These findings indicate that school-based regulations can play an important role in shaping adolescent character and social behavior based on national values. Therefore, such policies may serve as an effective preventive strategy for educational institutions that aim to strengthen character education and promote responsible student conduct.

The development of the digital economy has driven increased customer interaction through online chat services, making customer satisfaction a key factor in business success. Response speed and chat service quality are two important aspects in shaping the customer experience, but previous research has tended to examine them separately. This study aims to analyze the influence of online chat services and response speed on customer satisfaction partially and simultaneously. The method used is a qualitative approach with a literature review of 12 scientific articles from 2020–2025 obtained from academic databases such as Google Scholar and SINTA. The analysis technique used is descriptive-critical through the identification, comparison, and synthesis of previous research findings. The results show that online chat services have a positive effect on customer satisfaction, primarily through interaction quality such as information accuracy, ease of use, and problem-solving ability. Response speed has also proven to be an important determinant, where a fast response significantly increases customer satisfaction. However, speed without quality has the potential to decrease satisfaction. The discussion shows that the two variables have a complementary and inseparable relationship. Online chat services function as a medium for interaction, while response speed is a quality attribute that determines the effectiveness of the service. Therefore, the integration of both in one model is the main contribution of this research in filling the literature gap, especially in the context of e-commerce in Indonesia.

This study aims to analyze the implementation of the madrasah quality paradigm from the perspective of the Qur'an at MIS Al-Hunafa Palangka Raya. The study used a qualitative field research approach with observation, interview, and documentation techniques. Data analysis used the Miles and Huberman model. The results of the study indicate that: 1) the quality paradigm is understood not only to be oriented towards academics, but also to the formation of character and spiritual values ​​of students; 2) the implementation of the quality paradigm is carried out through the integration of Qur'anic values ​​such as amanah, itqan, ihsan, discipline, and responsibility in madrasah culture, learning, and religious activities; and 3) the implementation of quality still faces obstacles in the form of limited infrastructure, variations in teacher competencies, and technological demands, so that the madrasah carries out strengthening through teacher training, facility optimization, and the development of a quality culture based on Qur'anic values. Thus, the implementation of the quality paradigm at MIS Al-Hunafa has been running quite well and is carried out sustainably.

The rapid development of Artificial Intelligence (AI) has transformed various sectors of human life, including church ministry and religious organizational management. This study aims to analyze Christian leadership ethics in the use of AI within modern church ministry. The research employs a qualitative descriptive method through theological literature review and analysis of recent studies concerning digital technology and pastoral ministry. The findings indicate that AI provides significant benefits for church administration, digital communication, congregational data management, and online evangelism. Nevertheless, ethical challenges also emerge, such as the weakening of pastoral relationships, data privacy concerns, algorithmic bias, and the risk of dehumanization in ministry practices. From a Christian theological perspective, ministry is fundamentally relational and incarnational, reflecting the example of Jesus Christ who ministered through personal presence, compassion, and direct interaction with people. Therefore, AI should be understood as a supportive instrument rather than a substitute for spiritual authority and pastoral presence. Christian leadership in the digital age must be grounded in integrity, transparency, spiritual discernment, and respect for human dignity as the image of God (imago Dei). This study contributes to the development of ethical guidelines for churches in utilizing AI responsibly while maintaining theological integrity and Christian spiritual values.

The rapid development of globalization has significantly influenced modern education systems, requiring not only the advancement of knowledge but also the strengthening of moral and spiritual values. This study aims to analyze the integration of Islamic values within modern education systems in the era of globalization. The research employs a qualitative approach with a library research method, utilizing various academic sources such as books, journals, and relevant documents. Data are collected through documentation techniques and analyzed using content analysis to interpret and synthesize existing theories and findings. The results indicate that the integration of Islamic values can be effectively implemented through curriculum development, teaching methods, digital technology utilization, and the role of educators as value transmitters. Furthermore, the study reveals that a holistic and systematic integration approach is essential to balance intellectual, emotional, and spiritual development in learners. The implications of this research highlight the importance of developing an integrative education model that aligns Islamic principles with modern scientific and technological advancements, in order to produce individuals who are not only academically competent but also possess strong moral character in facing global challenges.