International Journal of Sciences: Basic and Applied Research (IJSBAR)

Maternal Childbirth Experiences Among the Arfak Tribe in Meinyufoka Village, Manokwari Regency, West Papua Province

Fri, 13 Jun 2025 00:00:00 +0000

Maternal mortality remains a major public health issue in remote and indigenous communities, including the Arfak tribe in Manokwari District, West Papua Province. This study aims to explore the cultural, educational, and systemic factors contributing to maternal deaths among Arfak women using a qualitative ethnographic approach. Data were collected through observations, in-depth interviews, and documentation from 13 informants including mothers, husbands, traditional leaders, a midwife, and a traditional birth attendant. Thematic analysis using the Colaizzi method revealed three main findings. First, low levels of education among Arfak women limit their health literacy and decision-making during pregnancy. Second, traditional beliefs and reliance on herbal remedies contribute to delays in seeking medical care, often worsening complications. Third, awareness and acceptance of family planning have improved, with support from both spouses and community leaders. However, challenges remain in terms of access to health services and continuity of care. The study concludes that improving maternal health among the Arfak tribe requires culturally sensitive interventions that integrate community values, enhance education, and strengthen rural healthcare systems.

Students' Abilities and Activities Learning in Mathematics at Junior High School: The Discovery Learning Model Using a Scientific Approach

Fri, 13 Jun 2025 00:00:00 +0000

This study has analyzed students' abilities and learning activities by employing the discovery learning model within a scientific approach. We conducted the research in two junior high schools, which included a total sample of 51 individuals. We employed a research methodology utilizing participatory observation techniques to analyze students' learning activities at each educational stage in alignment with the scientific approach. The findings indicated that students are able to build knowledge by using their own sentences without looking at the textbook definition, deduce mathematics concepts based on their work, conclude in narrative rather than formula or calculation, and apply concepts to problem solving. Furthermore, we categorized student learning activities at each stage as good and excellent. The discovery learning model through a scientific approach encourages students to explore mathematical concepts through hands-on activities and problem-solving, fostering a more profound understanding of the subject. Students are able to develop critical thinking skills and a greater enthusiasm for learning mathematics.

Nanowax Application that Increases Stain Resistance as Well as Brightness in Ceramic and Porcelain Tiles

Hasan Gokdag — Sat, 10 May 2025 00:00:00 +0000

Polishing ceramic tiles enhances both aesthetics and durability by smoothing surfaces, improving light reflection, and facilitating cleaning. This process involves mechanical abrasion and chemical treatments, where surfaces are sanded and polished using specialized machines and compounds. The porosity structure of ceramics is critical for polishing quality, as it affects stain resistance and gloss. This study investigates the efficacy of Nanowax, a colloidal silica-based coating, in improving stain resistance and brightness by tailoring particle sizes to surface porosity. Results show that smaller particle sizes enhance gloss and stain resistance, particularly for ceramics with small pores, as evaluated per ISO 10545-14 standards.

Development of Entrepreneurial Skill for Youth: Using Fabrics in Making Footmat for Homes and Offices

Janet O. Olaniyan, Iyabo A. Aderibigbe — Tue, 20 May 2025 00:00:00 +0000

The study is based on the development of entrepreneurial skill for youths using fabric in making football for homes and offices. Six research objectives were formulated for the study. Research and development design was used for a systematic and logical procedure for identifying and evaluating the relationship between variables. The training covered seven hundred and fifty [750] youths randomly selected throughout Ibarapa community, the study area. Descriptive statistics of frequency distribution, percentage, means and standard deviation used for the data analysis. The findings revealed that the youths in the study area show interest in the production of that foot mat using fabrics. The study also revealed that recycling of cut fabric from tailors and designers generated resources for the practicing tailor in the community. Recommendation were made, some of which include the need for government to encourage the youth in the community through training centers to develop entrepreneurial skills using fabric in making foot mat for homes and offices for self-employment

A Machine Learning-Based Predictive Framework for Patent Infringement Detection: Enhancing Intellectual Property Protection Through Hybrid Ensemble Models

Kang Jin Gang, Ang Ling Weay — Mon, 05 May 2025 00:00:00 +0000

Patent infringement poses significant risks to innovation and economic growth. Traditional intellectual property (IP) protection methods are often reactive, expensive, and inefficient for large-scale patent management. This study introduces an optimized machine learning framework designed to predict patent infringements proactively. The research evaluates the performance of Random Forest, Support Vector Machines (SVM), and Logistic Regression on a curated dataset enriched with patent citations, legal status, and family size. The study employs Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance and Recursive Feature Elimination (RFE) for feature selection. A novel hybrid ensemble model integrating Random Forest and SVM is developed, achieving 75% precision, 95% recall, and an F1-score of 84%, outperforming baseline models. The findings contribute to IP management by offering a scalable predictive framework that minimizes litigation costs and enhances proactive infringement detection.