Tuberculosis (TBC) is a contagious disease caused by the Mycobacterium tuberculosis bacteria, primarily affecting the lungs but can also spread to other organs. Despite the availability of effective treatment, TBC remains a major global health issue, with Indonesia being one of the countries with the highest TBC burden. Adherence to treatment is a key factor in the success of TBC therapy, yet patient adherence remains low. Family support plays a critical role in improving treatment adherence, as families can provide emotional, practical, and motivational support. This study aims to analyze the role of family support in enhancing TBC patients' treatment adherence in Seumirah Village, a rural area facing social-economic challenges and stigma surrounding the disease. The research uses a qualitative approach with in-depth interviews and focus group discussions, along with quantitative data collection regarding treatment adherence levels. The findings indicate that limited family knowledge of TBC, strong social stigma, and socio-economic factors are significant barriers to supporting adherence. However, families with better understanding of TBC and its treatment provide higher levels of support, which contributes to improved patient adherence. The study suggests the need for better education about TBC, reducing social stigma, and improving healthcare accessibility to support patient recovery. With stronger support from families, healthcare providers, and the government, it is hoped that treatment adherence will improve and TBC-related mortality will decrease).
Keyword: Tuberkulosis, family support, treatment adherence

In educational research, identifying variables and determining data sources are essential components in designing a systematic and accurate study. Research variables refer to the elements that are observed and measured within a study. These variables can include student achievement, motivation, teaching strategies, or learning environment conditions. Generally, variables are categorized as independent, dependent, control, or moderator variables. The independent variable is the influencing factor, while the dependent variable is the outcome. Control variables are held constant to avoid interference, and moderator variables affect the strength or direction of the relationship. The process of identifying variables begins with formulating the research problem and objectives. By reviewing theoretical frameworks and previous studies, researchers can focus their investigation on measurable aspects. For instance, in a study about the effectiveness of online learning on student performance, the independent variable is online learning, while the dependent variable is student achievement. Beyond identifying variables, researchers must also determine the appropriate types of data sources. Data sources are generally divided into two categories: primary and secondary. Primary data are collected directly from research subjects, such as through interviews, observations, or questionnaires. Secondary data, on the other hand, are obtained from existing sources like documents, books, journals, or official reports. The choice of data source must align with the research approach—quantitative, qualitative, or mixed methods. In quantitative research, primary data such as test scores or survey responses are used to measure variables numerically. In qualitative research, in-depth interviews and observations are commonly used to explore meanings and context. Using both types of data in combination can enhance data validity through triangulation. Ultimately, researchers must ensure the validity and reliability of their data, while also maintaining ethical standards in data collection and reporting. By understanding how to identify variables and select appropriate data sources, educational research can yield credible findings that contribute meaningfully to educational theory and practice.

Poverty among foreign nationals is an increasingly pressing global issue that is often overlooked in public policy. This study examines government policies designed to address poverty among migrants and refugees and their impact on their economic well-being. The main focus of the study is to highlight the effectiveness of different policy approaches that have been implemented in different countries and identify best practices that can be adapted to different national contexts. Through an analysis of existing policies in several countries, including Germany and Canada, and relevant case studies, the study finds that approaches based on social and economic integration, employment, and direct assistance can play a significant role in reducing poverty among foreign nationals. The results show that policies that involve collaboration between governments, non-governmental organizations, and local communities are often more effective in achieving the desired outcomes. This study aims to provide evidence-based recommendations for future development policies that are more inclusive and effective. In doing so, it is hoped that this study will contribute to improving the economic well-being of foreign nationals and assist governments in designing policies that are more responsive to the needs of this group.

Female Genital Mutilation and Injury (FGM) or female circumcision is an old practice that is still widely practiced in various parts of the world, including Indonesia. Female circumcision is a process of removing or cutting half or all of the clitoris (clitoridectomy), removing the clitoris and half or all of the labia minora (excision), or cutting some or all of the extero-genital (outer genitals) by sewing or narrowing the vaginal area (infibulation). Female circumcision currently has no medical indication and has not been proven to have health benefits. Female circumcision is still widely practiced for various reasons, both cultural traditions and religious recommendations. The purpose of this study was to determine the risk factors for female circumcision. Research methods: This type of research uses a scooping review to identify literature in depth and comprehensively obtained from various sources with various research methods and interest in the research topic. Results: The results of this study state that female circumcision has several risk factors including bleeding, bacterial infection, can cause trauma and shock and reduce sexual sensitivity and libido. Female circumcision is just a tradition or culture in society where the act has no benefits and health basis. It is expected that monitoring of female circumcision or the practice of circumcision and seeking the latest information on circumcision in girls will be carried out in order to maintain the health of the community.

Islamic education plays an important role in providing a deeper understanding of sharia family law to the community. This article reviews the concept of sharia family law, including marriage, divorce, and inheritance, and how Islamic education can be an instrument to improve the community's understanding of these issues. This study also identifies challenges in the implementation of sharia family law materials in Islamic educational institutions.

Coronary heart disease is a disease in which the occurrence of blockages in the blood vessels in the heart. Coronary heart disease is a fatal disease, it is better to get as much information about this disease as possible. Data Mining can classify whether a person has heart disease or not based on symptoms. Data mining builds a model that can predict whether a person has heart disease or not. How well a model performs classification can be determined from its accuracy value, but this accuracy value can still be improved. Increasing the accuracy value can be done by performing Feature Selection. The research object used in this research is a dataset about coronary heart disease obtained from the Kaggle website. The classification method used in this modeling is the Random Forest algorithm to classify whether a person has coronary heart disease or not. The Random Forest Algorithm is a classification algorithm consisting of Decision Trees for classifying. The Random Forest algorithm is used because it has been proven to produce good accuracy in several previous studies. The Feature Selection method used in this modeling is the Chi-Square hypothesis test to determine whether there is an effect of each independent variable on the dependent variable. This research compared the value of modeling accuracy without using Feature Selection with modeling using Feature Selection. The result of this study is that the model without Chi-Square Feature Selection produced an accuracy value of 96,05% and the model with Chi-Square Feature Selection produced an accuracy value of 97,33%.

Sudoku is a digital game that is included in the type of logic-based puzzle game where the goal is to fill in the puzzle with random numbers. Therefore, in this research it is proposed to use Artificial Intelligence which contains the Depth First Search Algorithm to track the number of possible solutions that lead to only one so that it becomes efficient. This game has different levels of difficulty such as easy, medium and difficult. The time and complexity of execution will vary depending on the difficulty so it is proposed to use Android Studio software. The experimental results prove that there is an increase in playing the Sudoku game quickly and accurately by applying the Depth First Search Algorithm method. This is proven by the ability to complete this game using the Depth First Search Algorithm using the Android Studio programming language. The average time at the easy level is 11:04 minutes, at the normal level is 10:52 minutes, at the hard level is 25:46 minutes, and at the extreme level is 38 minutes.

Rendahnya motivasi belajar peserta didik terhadap pembelajaran IPS mayoritas dipengaruhi oleh media yang dianggap membosankan sehingga peserta didik kurang tertarik untuk mengikuti pembelajaran IPS. Adapun tujuan dari penelitian ini yakni untuk mengetahui apakah media pembelajaran Puzzle dengan model pembelajaran berbasis Problem Based Learning dapat meningkatkan motivasi belajar peserta didik pada mata pelajaran IPS. Penelitian ini dilakukan di SMP Negeri 25 Semarang kelas VII G pada saat semester genap tahun ajaran 2023/2024. Adapun model Penelitian ini dilaksanakan dengan Tindakan kelas atau PTK. Tahapan tersebut dilakukan berulang selama II siklus dengan instrument penelitiannya yakni berupa Angket atau kuisioner untuk mengukur motivasi belajar peserta didik. Berdasarkan penelitian yang telah dilaksanakan menggunakan puzzle dapat meningkatkan motivasi belajar peserta didik. Hal tersebut dapat ditunjukkan berdasarkan data yang diperoleh yakni Pada saat siklus 1 masih terdapat peserta didik dengan Tingkat motivasi belajar pada kategori rendah yakni sebesar 14,7%, sedangkan pada siklus II tidak ada peserta didik dengan motivasi belajar dengan kategori rendah, dan pada kategori sangat tinggi pada siklus I sebesar 2,94% kemudian terjadi peningkatan pada siklus II yakni sebesar 55,88%. Kesimpulan dalam penelitian ini adalah penggunaan media puzzle dapat meningkatkan motivasi belajar peserta didik.
The majority of students' low learning motivation towards social studies learning is influenced by media which is considered boring so that students are less interested in participating in social studies learning. The aim of this research is to find out whether puzzle learning media with a problem based learning model can increase students' learning motivation in social studies subjects. This research was conducted at SMP Negeri 25 Semarang class VII G during the even semester of the 2023/2024 academic year. This research model is carried out using class action or PTK. This stage was carried out repeatedly during the second cycle with the research instrument, namely a questionnaire or questionnaire to measure students' learning motivation. Based on research that has been carried out, using puzzles can increase students' learning motivation. This can be shown based on the data obtained, namely that during cycle 1 there were still students with a level of learning motivation in the low category, namely 14.7%, whereas in cycle II there were no students with learning motivation in the low category, and in the very high category. high in cycle I was 2.94% then there was an increase in cycle II, namely 55.88%. The conclusion in this research is that the use of puzzle media can increase students' learning motivation.

Introduction:  In the ecological analysis of television media, researchers determine the category of supporting sources (niche breadth) of media and measure the level of competition (niche overlap) of media based on local content-based information programs on networked national private television in South Kalimantan. Methods: This research employs a quantitative approach by collecting the data through observation of the program broadcasted by each television, then classifying into the instrument table and recording the results of the observations. The data is processed using the niche breadth and niche overlap formulas. Findings: The findings show that niche breadth 16 national private television media networks in South Kalimantan based on local content-based information programs are included in the specialist category with a niche breadth value of <3.5, which indicates that all television media have supporting resources but quite limited in showing local content-based information programs. Niche overlap of national private television network media based on local content-based information programs in South Kalimantan, there are 4 television paired stations that have a high level of competition compared to other paired stations: Global TV Banjarmasin and Net Banjarmasin; Global TV Banjarmasin and RTV Banjarmasin; Net Banjarmasin and RTV Banjarmasin; and SCTV Banjarmasin and Inspira TV Banjarmasin with a niche overlap value equal to 0.000.Originality: There is no publication with the same research result regarding competition for networked national private television. This is what makes this article fulfill the element of originality, which specifically analyzes television competition based on local information program broadcasts.

Perkembangan bisnis busana muslimah yang semakin pesat membuat tingkat persaingan juga semakin ketat. Pemanfaatan teknologi internet berupa e-commerce, Shopee salah satunya, sangat membantu dalam memasarkan dan mempromosikan produk karena lebih efektif dan efisien menjangkau konsumen. Konsumen seolah diperebutkan dengan penawaran-penawaran seller melalui produk dengan kualitas yang sangat beragam pula. Tujuan penelitian ini adalah untuk mengetahui pengaruh harga, kualitas produk, dan promosi terhadap minat beli konsumen pada butikbintan di e-commerce Shopee (shopee.co.id/butikbintan). Dalam penelitian ini metode pengambilan sampel dengan menggunakan rumus Lemeshow dengan jumlah sampel (n) = 105 orang. Metode pengumpulan data dilakukan dengan tahapan observasi, dan kuesioner, yang diukur dengan Skala Likert. Metode penelitian menggunakan metode regresi linear berganda, dengan analisis instrumen penelitian uji validitas, uji reliabilitas, uji normalitas, uji multikolinearitas, uji heteroskedastisitas, uji t, uji F dan uji koefisien determinasi. Hasil penelitian menemukan bahwa harga berpengaruh positif signifikan terhadap minat beli konsumen, kualitas produk secara parsial tidak berpengaruh positif dan signifikan terhadap minat beli konsumen, promosi secara parsial tidak  berpengaruh positif dan signifikan terhadap minat beli konsumen, dan variabel harga, kualitas produk, dan promosi secara simultan berpengaruh terhadap minat beli  konsumen pada butikbintan di e-commerce shopee                                        ( shopee.co.id/butikbintan ).