Breast cancer remains one of the leading causes of death among women worldwide, primarily due to late detection and diagnosis. Early and accurate prediction is essential to improve survival rates. Machine learning (ML) techniques have proven effective in supporting early diagnosis. This study aims to evaluate and compare the performance of three different approaches: traditional ML, ensemble ML, and deep learning (DL) for early prediction of breast cancer using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. The methodology includes data collection, preprocessing, and the design of predictive models. Traditional ML algorithms used include Logistic Regression (LR), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Naïve Bayes (NB), and Decision Tree (DT). Ensemble ML techniques comprise Random Forest (RF), XGBoost, and AdaBoost, while DL models include Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). The models were evaluated using precision, recall, F1-score, and accuracy. The results indicate that XGBoost achieved the highest accuracy (0.99), with strong recall (0.98) and F1-score (0.986), outperforming all other ensemble and traditional ML methods. CNN achieved 0.99 in all evaluation metrics, slightly outperforming RNN, which attained 0.98 accuracy and 0.985 F1-score. These findings confirm that ensemble ML techniques outperform traditional models, while CNN leads among DL models. Furthermore, the proposed models demonstrated superior prediction performance compared to existing studies, particularly in minimizing false negatives, which is critical for healthcare applications.

In the complex era of globalization, understanding Islamic Financial Institutions (LKS) is crucial for the younger generation as the future leaders of the nation. This study aims to analyze the level of understanding among students at SMA Negeri 1 Tarakan regarding LKS, which serves as a fundamental pillar for sustainable Islamic economic growth. This research employs a quantitative approach with a descriptive survey design. Primary data was collected through an online questionnaire filled out by 94 students using random sampling techniques. The instrument consisted of 20 multiple-choice questions measuring four key competencies: Basic Principles of LKS, Islamic Banking Institutions (LKB), Non-Bank Islamic Financial Institutions (LKBB), and LKS Regulations. Scores were analyzed using the Borda method to determine the relative level of understanding based on competency categories. The results indicate that the competency most understood by students was the Basic Principles of LKS, followed by Regulations, LKB, and LKBB. These findings reinforce that a conceptual and normative learning approach to Islamic finance is more effective for students, particularly in the competencies of LKS and Regulations, while operational and applicative aspects—especially those related to LKB and LKBB—remain areas requiring improvement. Practical implications emphasize the need for strategies to strengthen teaching materials in LKBB competencies through project-based approaches or simulations of non-bank Islamic financial institutions. This would provide a more contextual learning experience and enhance students' understanding of the role of LKBB in the financial system, as well as practical skills relevant to the industry.

Good nutritional knowledge can help individuals to consume macronutrient intake in accordance with the body's needs, so that nutritional status can be adequately met. A cross-sectional study design and quantitative research methodology are employed. The study's sample consisted of twenty people who were chosen by purposive sampling. The Spearman rank correlation test was applied in both univariate and bivariate analyses. The results showed that most individuals' nutritional status was normal status (55%). Based on the Spearman rank test, no significant association was identified between nutritional knowledge (p=0.206), protein consumption (p=0.762), and carbohydrate consumption (p=0.772) with nutritional status. Nevertheless, fat consumption (p=0.049) showed a significant link with nutritional status. The results of this research suggest that nutritional status does not correlate with nutritional awareness, protein intake, or carbohydrate intake. However, fat intake is associated with nutritional status. It is intended that this study will inspire participants to practice mindfulness of their macronutrient intake. Coaches are also expected to provide guidance to UNESA volleyball club members to be more discerning in selecting foods for consumption

This study examines the effect of institutional ownership and managerial ownership on the performance of companies in trade, services, and investment listed on the Indonesia Stock Exchange for the period 2021-2023. The analysis technique used is multiple linear regression analysis and the data collection technique used is purposive sampling. In the study, company performance was measured using Return on Assets (ROA). The results of the study indicate that the first and second hypotheses are rejected, namely institutional ownership does not have a significant effect on company performance, while managerial ownership has a significant negative effect on company performance.

Hipertensi merupakan kondisi ketika tekanan darah sistolik mencapai atau lebih dari 140 mmHg dan/atau tekanan darah diastolik mencapai atau lebih dari 90 mmHg saat diukur di fasilitas pelayanan kesehatan. Pada tahun 2021, tercatat sebanyak 69.247 namun, kasus hipertensi di Kota Salatiga hanya 20.310 kasus yang mendapat pelayanan kesehatan. Pengabdian kepada masyarakat ini bertujuan untuk memberikan promosi kesehatan kepada masyarakat terkait hipertensi dan cara mencegah hipertensi dengan jus Mesem. Jus Mesem dibuat dari 4 bahan yaitu mentimun, seledri, lemon dan madu. Melalui kuesioner yang dibagikan kepada peserta promosi kesehatan, ditemukan bahwa 39 dari 40 (97.5%) responden menyetujui bahwa kegiatan promosi kesehatan hipertensi dan demonstrasi pembuatan jus Mesem ini meningkatkan pengetahuan mereka terkait hipertensi dan meningkatkan minat mereka untuk mencegah hipertensi dengan membuat jus Mesem di rumah. Dengan adanya promosi kesehatan ini, masyarakat akan mampu untuk mencegah hipertensi dengan cara yang mudah dan dapat dimulai dari keluarga masing-masing.

Television remains in demand thanks to its broad reach, diverse programming, and creative, collaborative production teams, supported by digital transformation to maintain broadcast quality and interactivity. This study examines the communication strategies of production teams in broadcasting Ramadan news and breaking news of the Sidang Isbat (Islamic council meeting to determine the start of Ramadan), focusing on the challenges of airing religious and public-value content. The research uses a qualitative case study approach, with interviews, observation, and documentation as data collection techniques. Data was processed through condensation, presentation, and conclusion drawing. Research findings show that TVOne's communication strategy involves cross-division coordination, the development of religious-commercial content, multiplatform usage, and a deep understanding of the Ramadan audience’s characteristics to deliver accurate, relevant, peaceful, and professional information across various broadcast channels. TVOne's Sidang Isbat Breaking News emphasizes accuracy, neutrality, and intensive cross-team coordination, delivering information based on scientific and religious data, and is broadcast live with multiplatform support for broad reach. The Jelang Berbuka (Before Iftar) program combines religious and commercial content, managed by a religious team, structured with empathetic narratives, aired on TV and digital platforms, and developed through intensive coordination and audience evaluation. Conclusion: TVOne’s communication strategy emphasizes cross-division coordination, broadcast flexibility, team collaboration, digital evaluation, and the application of the 6C principles for the success of high public-value and religious programs.

Learning Social Sciences (IPS) in Indonesia is still dominated by conventional methods based on memorization, so students often have difficulty connecting material with real life. Various studies have proposed learning innovations, but their implementation is still limited and poorly evaluated in the context of Merdeka Belajar. This research focuses on the implementation of social studies learning innovations at SDS Islam Ulul Albab which combines the role play method, the Teams Games Tournament (TGT) type cooperative learning model, and the use of audiovisual technology through Smart TV. The purpose of this study is to analyze the effectiveness of innovative methods in improving students' conceptual understanding without having to memorize. Using a qualitative approach with a field research method, data was collected through observation, interviews, and document analysis. The results showed that the role-playing method helped students understand social studies material through hands-on experience, while the TGT model increased students' participation and learning motivation through fun academic competition. In addition, the use of audiovisuals provides a more interesting learning experience and makes it easier for students to understand abstract social studies concepts. In conclusion, this learning innovation is effective in improving students' understanding conceptually, aligns with the principles of Merdeka Belajar, and has the potential to become a learning model that can be used to improve students' understanding of social studies.
 
 

The Effect Of User Satisfaction, E-Learning Platform Quality, And Resource Availability On Learning Achievement Of Economics Subjects At State High School 1 Karanganom. This study aims to determine the effects of user satisfaction, e-learning platform quality, and resource availability on student achievement in Economics at SMA Negeri 1 Karanganom. The research used a quantitative approach with a survey method and purposive sampling technique. Data were collected through questionnaires and achievement tests, validated by Economics Education lecturers and high school teachers. Multiple regression analysis was employed. The results indicate that both user satisfaction and e-learning platform quality have a significant effect on student achievement. Meanwhile, resource availability does not show a positive influence, but it still has a significant effect on learning outcomes. These findings highlight the importance of enhancing user experience and digital platform quality to support effective learning strategies.

The mentoring program for Posbindu Dahlia Indah Petuakan Selatan MSMEs aimed to enhance business competitiveness through digital marketing strategies and human resource management strengthening. The challenges faced by this MSME included suboptimal use of digital platforms, unattractive packaging, and ineffective human resource management. The community engagement activity was conducted over three months using a participatory approach involving direct training, consultations, and periodic evaluations. The results showed significant improvements in the activation and optimization of e-commerce accounts, packaging quality enhancement, and a more structured division of tasks. Increased HR competencies contributed to higher production capacity and operational efficiency. This activity concluded that the synergy between digital marketing and HR management strengthening successfully improved product visibility and the competitiveness of MSMEs in the digital marketplace.

This research aims to determine the extent to which students’ English proficiency levels improve over the course of the program as measured by the British Council EnglishScore (BCES), and to evaluate the effect size of the observed change in test scores. The study employed a pre-experimental, one-group pretest-posttest design. English proficiency score was assessed through pre- and post-tests using the BCES platform. The pretest and posttest scores were analyzed using descriptive and inferential statistics. A paired samples t-test was conducted to determine statistical significance, and Cohen's d was calculated to assess the effect size of the intervention. The findings demonstrate a statistically significant improvement in students’ EnglishScore performance following the intervention. However, the effect size indicates that the gain was modest. While students showed progress on average, the improvement was not dramatic, suggesting that the impact of the short-term intervention was limited. These results highlight the importance of sustained instructional design and the need for realistic expectations when implementing short-term English language programs. Future research should consider longer-term interventions, incorporate control groups for comparison, and include qualitative data to better understand learners' experiences and engagement with digital proficiency assessments.