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The rapid growth of the digital era has significantly influenced Christian Religious Education (CRE), requiring curriculum transformation that integrates Christian household values into academic learning. This study employs a descriptive qualitative approach with an exploratory case study design to analyze the integration of family-based Christian values, such as love, open communication, and spiritual discipline, into the CRE curriculum. The findings reveal that this integration effectively nurtures Christlike character in students across cognitive, affective, and spiritual dimensions. In addition, technology-enhanced learning becomes more meaningful when it is rooted in household values that shape daily faith practices and relational responsibility. The study also indicates that the family context provides an important foundation for strengthening moral awareness, spiritual maturity, and responsible digital engagement among students. This research concludes that integrative curriculum models can develop educators who are not only theologically competent but also Christlike, adaptive, and responsive to digital challenges. Therefore, integrating Christian household values into CRE curriculum design is essential for strengthening holistic faith formation in higher education and preparing future educators to serve faithfully in contemporary digital contexts.

This study examines the role of social media as a contemporary arena of spiritual warfare and its impact on Christian spirituality amid the growth of digital disinformation. Employing a mixed-method approach, the research combines quantitative surveys and qualitative interviews to identify patterns of religious disinformation and explain their influence on doctrinal understanding, worship practices, and the faith identity of church members. The findings indicate a negative relationship between exposure to disinformation and the depth and consistency of spiritual practices. They also reveal increasing theological confusion and the emergence of digital influencers as “alternative authorities” who shape religious interpretation outside established church guidance. In addition, low levels of media literacy and the church’s limited readiness for digital ministry further heighten believers’ vulnerability to misleading narratives. The study concludes that the digital sphere functions as a strategic field of spiritual warfare requiring an integrated theological, pastoral, and literacy-based response. Recommendations include developing theologically grounded media literacy programs, training digital ministry leaders, strengthening pastoral guidance online, and designing contextual, evidence-based church content for contemporary digital communities across diverse contemporary congregational settings and contexts.

This study examines the influence of interest rates and the rupiah exchange rate on the money supply in Indonesia during the 2023–2025 period. A quantitative research approach was employed using monthly secondary data obtained from Statistics Indonesia (BPS) and Bank Indonesia (BI). The data were analyzed through multiple linear regression with the assistance of SPSS software. Several statistical procedures were applied, including classical assumption tests, partial significance tests (t-tests), simultaneous significance tests (F-tests), and coefficient of determination (R²) analysis. The findings reveal that interest rates have a significant negative effect on the money supply, while the rupiah exchange rate exerts a significant positive influence. Furthermore, the simultaneous test indicates that both variables collectively have a significant impact on the money supply. The coefficient of determination shows that 85.4% of the variation in the money supply can be explained by changes in interest rates and the rupiah exchange rate. These results highlight the importance of maintaining stable interest rates and exchange rates as essential components of monetary policy aimed at regulating the money supply and preserving monetary stability in Indonesia.

This research aims to analyze and compare traditional Islamic education systems in Indonesia, Malaysia, and Thailand, focusing on institutional aspects, education systems, learning methods, and curricula. Using a literature study method with a descriptive qualitative approach, this research examines various relevant literature regarding the dynamics of Islamic education in Southeast Asia. The results show that the three countries share fundamental similarities in educational forms, such as pesantren or pondok, which focus on Islamic sciences and moral cultivation. However, significant differences exist in management patterns and the level of integration with government policies. Indonesia maintains a variety of salaf and modern pesantren, Malaysia exhibits a more structured system integrated with the state, while Thailand specifically in the Patani region tends to be adaptive in response to its Muslim minority status. This comparison concludes that the development of traditional Islamic education systems in each country is heavily influenced by the respective social and political contexts.

Bank stock price prediction is an important topic in the application of information technology because stock price movements are dynamic, sequential, and influenced by historical market patterns. This study aims to predict Indonesian banking stock prices using the Long Short-Term Memory method and evaluate the effect of Bayesian Optimization on model performance. The data used in this study consists of daily historical stock data of BBCA, BBNI, BBRI, BBTN, and BMRI from May 4, 2020, to May 4, 2026, obtained from Yahoo Finance. The input features include opening price, highest price, lowest price, closing price, and trading volume, while the prediction target is the stock closing price. The results show that the baseline model produced MAPE values ranging from 1.892% to 3.147%. The best baseline performance was obtained on BBCA with an R² value of 0.933, followed by BBTN with an R² value of 0.902. After optimization, performance improvement occurred on BBTN, with MAPE decreasing from 3.147% to 2.482% and R² increasing from 0.902 to 0.935. For BMRI, MAPE decreased from 2.385% to 2.206%, and R² increased from 0.687 to 0.743. This study concludes that Long Short-Term Memory can be used to predict Indonesian banking stock prices, while Bayesian Optimization can selectively improve model performance depending on the characteristics of each stock dataset.

Diabetes Mellitus is a non-communicable disease with an increasing prevalence and has become a major public health concern globally and nationally. The incidence of diabetes mellitus is influenced by various individual and environmental factors. This study aimed to analyze the relationship between age, gender, and residential proximity to landfill areas and the incidence of diabetes mellitus in Bendosari District. A quantitative analytic observational design with a cross-sectional approach was employed. The study population consisted of 1,890 patient visit records recorded in the Management Information System of Bendosari Public Health Center in 2025. A total of 363 respondents were selected using proportionate stratified random sampling. Data were analyzed through univariate analysis, bivariate analysis using the Chi-Square test, and multivariate analysis using multiple logistic regression. The findings showed that age was significantly associated with diabetes mellitus incidence (p=0.000; OR=79.790; 95% CI=53.511–118.974). Gender was also significantly related to diabetes mellitus incidence (p=0.000; OR=0.298; 95% CI=0.203–0.435), indicating that females had a higher risk than males. In contrast, residential proximity to landfill areas was not significantly associated with diabetes mellitus incidence (p=0.308; OR=1.247; 95% CI=0.439–3.540). Multivariate analysis revealed that age and gender were the dominant factors influencing diabetes mellitus incidence, with the model explaining 56.1% of the variation. The study concludes that age and gender are significant determinants of diabetes mellitus incidence, whereas residential proximity to landfill areas has not been proven to significantly affect its occurrence.

Tuberculosis (TBC) in children remains a serious public health problem in Indonesia, with the 0–14 age group accounting for 16.2% of total notified cases in 2024. The uneven distribution of cases across provinces is thought to be influenced by various social determinants, yet spatial studies specifically on childhood TBC at the national level remain scarce. This study aimed to analyze the spatial pattern of childhood tuberculosis cases and social determinants in Indonesia in 2024 using a spatial ecological design across 38 provinces. Analysis included descriptive statistics, thematic mapping using QGIS, Moran's I test, and Local Indicator of Spatial Association (LISA) with queen contiguity weighting matrix. Results showed a strong positive spatial autocorrelation with a Moran's I value of 0.612. High-high clusters were identified in DKI Jakarta, Central Java, Banten, and West Java, which simultaneously recorded high population density and low primary healthcare ratios. Territory-based interventions should be prioritized in these hotspot provinces.

Tuberculosis (TBC) in children remains a serious public health problem in Indonesia, with the 0–14 age group accounting for 16.2% of total notified cases in 2024. The uneven distribution of cases across provinces is thought to be influenced by various social determinants, yet spatial studies specifically on childhood TBC at the national level remain scarce. This study aimed to analyze the spatial pattern of childhood tuberculosis cases and social determinants in Indonesia in 2024 using a spatial ecological design across 38 provinces. Analysis included descriptive statistics, thematic mapping using QGIS, Moran's I test, and Local Indicator of Spatial Association (LISA) with queen contiguity weighting matrix. Results showed a strong positive spatial autocorrelation with a Moran's I value of 0.612. High-high clusters were identified in DKI Jakarta, Central Java, Banten, and West Java, which simultaneously recorded high population density and low primary healthcare ratios. Territory-based interventions should be prioritized in these hotspot provinces.

Transportation plays an important role in supporting community mobility and enhancing socio-economic activities in urban areas. The increasing population growth and community activities in Sorong City have led to a higher demand for transportation modes. This study aims to identify the characteristics of transportation users in Kota Sorong and to analyze the probability of selecting different transportation modes using the Multinomial Logit (MNL) method. A quantitative approach was employed in this research. Questionnaires were distributed to 225 transportation users in Sorong City. The variables analyzed included gender, age, occupation, income, trip purpose, travel frequency, and reasons for choosing a transportation mode. The data were analyzed using multinomial logistic regression with SPSS software. The results indicate that transportation mode choice is influenced not only by socio-economic factors, but also by showed that income, trip purpose, travel frequency, and reasons for choosing the mode significantly influenced transportation mode choice, while gender, age, and occupation did not have significant effects. The probability analysis indicated that private vehicles had the highest probability of selection at 89.63%, followed by online transportation at 9.96%, and conventional motorcycle taxis at 0.41%. These findings imply that socio-economic and travel behavior factors strongly influence transportation mode preferences in Sorong City and may serve as a reference for future urban transportation planning and policy development.

Communication within the family, especially between parents and children, is an important foundation for the development of a child's personality, emotions, and social skills. The purpose of this writing is to identify the types of parental communication styles, analyze the factors that influence them, examine their impact on child development, and provide practical recommendations to improve the effectiveness of communication patterns within the family. The method used in writing this paper is a literature study. The discussion results show that there are three main types of parental communication styles: permissive, authoritarian, and democratic. The permissive style tends to give the child unlimited freedom, the authoritarian style emphasizes control and obedience, while the democratic style encourages openness and mutual respect. The choice of communication style is influenced by various factors such as educational background, culture, past experiences, and the socio-economic conditions of parents. Each communication style has a different impact on the emotional, social, and cognitive development of children. The democratic style is considered the most effective in optimally supporting child development. This article provides recommendations to parents to increase knowledge about dialogical-based parenting, practice assertive communication skills, give children space to express their opinions, and build a family culture that is open and mutually respectful.

Communication is an important aspect in the development of children aged 5–6 years, especially in supporting their language and social-emotional abilities. This study aims to analyze the influence of effective communication through a play approach in early childhood based on the results of previous research. The method used in this study is a quantitative method by conducting observations, research, and observations on effective communication and a play approach in early childhood education. Data collection techniques were carried out through documentation and literature searches from journals, articles, and relevant scientific references. Data analysis techniques used quantitative descriptive analysis by comparing and summarizing the results of previous research. The results show that the play approach has a significant influence on improving children's effective communication skills, such as the courage to speak, the ability to express opinions, social interaction, cooperation, and self-confidence. In addition, play activities have been proven to be able to create a fun learning atmosphere so that children are more active in interacting with peers and teachers. Thus, the play approach can be an effective strategy in developing the communication skills of children aged 5–6 years.

Increasingly intense market competition in the digital era requires companies to implement effective recruitment strategies to attract the best talent, particularly from Generation Z. This generation is highly familiar with digital technology and social media, making digital platforms their primary source of information regarding employment opportunities. In this context, employer branding and corporate social media utilization play important roles in shaping perceptions and influencing job application intentions. Although previous studies have examined the influence of employer branding and social media on recruitment outcomes, the findings remain inconsistent and often contradictory. Therefore, this study aims to analyze and evaluate the effects of employer branding and the intensity of corporate social media usage on the job application intentions of Generation Z. The research focuses on Generation Z individuals residing in the Singaparna area. This study is expected to provide a more comprehensive understanding of the factors influencing job application decisions among young people in the digital era. The findings are anticipated to serve as valuable insights for companies in designing more effective, innovative, and targeted recruitment strategies that align with the characteristics and preferences of Generation Z as the future workforce.

This study was conducted to examine the integration of spiritual intelligence into Islamic Religious Education (PAI) learning as an effort to strengthen students’ character. At MA Al-Amien Bugih Pamekasan, some students still demonstrate a lack of discipline, responsibility, and honesty in the learning process. To address these issues, PAI teachers integrate spiritual values through religious activities and the cultivation of positive habits during classroom instruction. This study aims to describe the implementation of spiritual intelligence integration, the strategies used by teachers, and its implications for students’ character development. This research employed a descriptive qualitative approach. Data were collected through observations, interviews, and documentation involving purposively selected informants, namely PAI teachers and students. Data analysis followed the Miles, Huberman, and Saldana model, including data reduction, data display, and conclusion drawing. The validity of the findings was ensured through source and technique triangulation. The results indicate that the integration of spiritual intelligence in PAI learning has been implemented systematically through planning, implementation, and evaluation stages. Teachers incorporate spiritual values through religious practices, role modeling, learning reflections, discussions of moral values, and character assessments. These strategies contribute positively to the development of students’ character, particularly in fostering discipline, responsibility, honesty, cooperation, empathy, and independence. Although several challenges remain, including differences in students’ backgrounds, limited instructional time, and external environmental influences, the integration of spiritual values continues to support sustainable character development among students. The findings highlight the important role of spiritual intelligence in creating meaningful learning experiences and promoting positive character formation in Islamic educational settings.

This study aims to examine the role of the government in implementing gender political education in schools in Bengkulu Province. Within the context of Indonesia's national education system, gender equality remains a crucial issue that requires sustained attention, particularly in formal educational institutions. As the primary policymaker, the government plays a strategic role in ensuring that educational policies, curricula, teaching practices, and school environments promote the principles of gender equality and inclusiveness. This research employs a library research method by reviewing various scientific publications, policy documents, laws and regulations, government reports, and relevant academic sources related to gender and education. The findings reveal that the government has introduced several regulations and programs to support gender-responsive education and enhance equal opportunities for all students. However, the implementation of these policies in schools across Bengkulu Province continues to face significant challenges. These include limited teacher competence in gender-sensitive instruction, inadequate availability of gender-responsive learning materials, insufficient monitoring and evaluation mechanisms, and the persistence of patriarchal cultural values that influence educational practices. Therefore, this study recommends strengthening policy implementation, providing continuous gender-based teacher training, developing inclusive learning resources, and integrating gender political education into local curriculum content to promote greater gender awareness and equality in schools throughout Bengkulu Province.

The development of digital media has transformed virtual public spaces into major arenas for shaping public opinion on religious issues, including Islamic law and sharia in Indonesia. Discussions surrounding sharia on social media are frequently accompanied by stigma and misperceptions influenced by media framing, digital algorithms, and identity polarization. This study aims to analyze the construction of stigma toward Islamic law in the digital era, identify forms of sharia misperception in the Indonesian public sphere, and explain factors contributing to the reproduction of such stigma. This research employs a qualitative approach based on an integrative literature review combined with digital media discourse analysis. Data were collected through scientific literature reviews, social media observations, and analysis of digital content related to sharia discourse. The findings reveal that sharia is often associated with violence, anti-democracy, restrictions on women’s rights, and opposition to modernity due to media simplification and emotionally driven digital content. In addition, low levels of religious digital literacy and the prevalence of echo chambers reinforce the spread of stigma toward Islamic law in virtual public spaces. This study emphasizes the importance of strengthening religious digital literacy and promoting moderate and inclusive Islamic narratives in contemporary digital society.

Diarrhea has the potential to cause an Extraordinary Event (KLB) and is currently a leading cause of mortality in Indonesia, especially in children. Antibiotics are necessary for diarrhea caused by bacteria, but irrational antibiotic prescribing can increase the risk of antibiotic resistance. This literature review was conducted to provide an overview of the level of rationality of antibiotic use in pediatric patients with diarrhea in several Indonesian health facilities. The literature review was conducted by reviewing articles obtained through a Google Scholar search using the keywords "rationality of antibiotic use," "diarrhea," "children," and "evaluation of antibiotic use." Articles were selected using inclusion and exclusion criteria, resulting in 10 suitable articles. The study results indicate that the evaluation methods for antibiotic use include the Gyssens criteria, World Health Organization criteria, Ministry of Health Decree Standards, the 2012 World Gastroenterology Organization Guidelines, and the Rational Drug Use Module. Commonly used evaluation parameters include appropriate indication, appropriate drug, appropriate dose, and appropriate patient. Most parameters have obtained rational results, but there are several studies that are not rational in the appropriate indication, appropriate drug, and appropriate dose categories. Variations in the results of rational antibiotic use at each health facility are influenced by patient characteristics, policies at the health care facility, and the level of compliance of health workers with therapy guidelines.

This study aims to analyze the influence of social support and soft skills on the work readiness of the 2022 cohort students in Tasikmalaya City. Work readiness is an essential aspect that students must possess to face increasingly competitive labor market demands. This research employed a quantitative approach using a survey method. Data were collected through an online questionnaire distributed to 110 respondents selected from a population of 150 students using the Slovin formula with a 5% margin of error and a simple random sampling technique. Data analysis was conducted using multiple linear regression with the assistance of IBM SPSS Statistics 25. Prior to hypothesis testing, validity and reliability tests were performed to ensure the quality of the research instruments. In addition, classical assumption tests, including normality, multicollinearity, heteroscedasticity, autocorrelation, and linearity tests, were conducted to verify the suitability of the regression model. The findings indicate that both social support and soft skills have a positive and significant effect on students’ work readiness. Support from family, peers, and the academic environment enhances students’ confidence in preparing for employment. Furthermore, communication skills, teamwork, problem-solving abilities, and responsibility as components of soft skills strengthen students’ readiness to enter the professional workforce. These findings highlight the importance of developing soft skills and strengthening social support to improve students’ work readiness.

Diarrhea has the potential to cause an Extraordinary Event (KLB) and is currently a leading cause of mortality in Indonesia, especially in children. Antibiotics are necessary for diarrhea caused by bacteria, but irrational antibiotic prescribing can increase the risk of antibiotic resistance. This literature review was conducted to provide an overview of the level of rationality of antibiotic use in pediatric patients with diarrhea in several Indonesian health facilities. The literature review was conducted by reviewing articles obtained through a Google Scholar search using the keywords "rationality of antibiotic use," "diarrhea," "children," and "evaluation of antibiotic use." Articles were selected using inclusion and exclusion criteria, resulting in 10 suitable articles. The study results indicate that the evaluation methods for antibiotic use include the Gyssens criteria, World Health Organization criteria, Ministry of Health Decree Standards, the 2012 World Gastroenterology Organization Guidelines, and the Rational Drug Use Module. Commonly used evaluation parameters include appropriate indication, appropriate drug, appropriate dose, and appropriate patient. Most parameters have obtained rational results, but there are several studies that are not rational in the appropriate indication, appropriate drug, and appropriate dose categories. Variations in the results of rational antibiotic use at each health facility are influenced by patient characteristics, policies at the health care facility, and the level of compliance of health workers with therapy guidelines.

Entrepreneurship Study Programme students at Universitas Negeri Makassar's Faculty of Economics and Business had their digital literacy and relationship-building skills examined to see how they affected their entrepreneurial decision-making. Additionally, it determines if entrepreneurial drive is a factor in the relationship between these variables. Data for the study is collected quantitatively via questionnaires. The 427 students who completed the programme between 2019 and 2024 are the ones included in the study. With a 5% margin of error, 207 students were selected by proportional random sampling using the Slovin algorithm. A Google Form questionnaire was used to gather the data. After that, SmartPLS version 4 was used to analyse the data using the PLS-SEM approach. According to the findings, digital literacy significantly impacts entrepreneurial decision-making for the better. Entrepreneurial decision-making is positively and significantly impacted by the capacity to develop connections. There was a positive and statistically significant association between digital literacy and the capacity to form relationships, which in turn influenced entrepreneurial drive. There was a positive and statistically significant relationship between entrepreneurial motivation and entrepreneurial decision-making. Students' entrepreneurial decision-making is influenced by their entrepreneurial drive, which in turn is influenced by their digital literacy and relationship-building abilities.

Abstract: Detecting chili leaf diseases remains challenging due to the non-uniform manifestation of symptoms, local discoloration, small lesion regions, and visual similarity between disease patterns and natural leaf background variations. Although YOLO-based detectors provide favorable computational efficiency, lightweight variants often struggle to distinguish subtle lesion characteristics, while conventional attention mechanisms such as CBAM primarily rely on global feature aggregation and may overlook regional activation variability. To address these limitations, this study proposes a YOLOv9s-based detection framework integrated with a Region-Dispersion Channel Spatial Attention (RDCSA) module. The proposed module incorporates regional dispersion statistics, namely mean, standard deviation, and range, as channel descriptors to capture inter-region feature variability before applying spatial attention refinement. Experiments were conducted on the COLD dataset containing 532 original images from five chili leaf condition categories using a split-before-augmentation protocol to ensure objective evaluation. RDCSA was integrated at the P5 feature level and evaluated through attention placement analysis, component-wise ablation, sensitivity analysis, stability assessment, and comparison with modern attention mechanisms. The proposed YOLOv9s + RDCSA model achieved an mAP@50 of 0.894, mAP@50–95 of 0.773, precision of 0.858, recall of 0.861, and an F1-score of 0.859 with only a marginal increase in model parameters. The results suggest that regional dispersion-based attention improves feature discrimination while preserving computational efficiency, particularly for disease symptoms characterized by heterogeneous spatial patterns. Nevertheless, performance remains influenced by visually ambiguous symptom categories, indicating that further validation across multiple datasets and field conditions is required. Overall, the proposed RDCSA module enhances detection capability without substantially increasing computational overhead, making it a promising attention mechanism for lightweight plant disease detection systems.