This study aims to analyze the sentiment of iPhone product reviews from Amazon using the BERT (Bidirectional Encoder Representations from Transformers) model to classify reviews as either positive or negative. The dataset, sourced from Kaggle, includes text reviews and star ratings, where high ratings indicate positive sentiment and low ratings indicate negative sentiment. After text preprocessing steps, including data cleaning, tokenization, and sentiment labeling, the BERT model was fine-tuned for sentiment classification, with the data split into training, validation, and test sets. Evaluation results demonstrate that the BERT model achieves a high classification accuracy, with an accuracy rate of 93.9% and a balanced F1 score between precision and recall. Confusion matrix evaluation also indicates that the model consistently identifies both positive and negative sentiments. This study shows that Transformer-based models like BERT are highly effective in understanding customer opinions in e-commerce, with broad application potential for data-driven decision-making in marketing strategies and product development.

Malaria remains a global health issue, particularly in tropical and subtropical regions. In Indonesia, Papua Province specifically Nabire Regency reports a high incidence of malaria, although a decline has been observed since 2010. Infants and pregnant women are the most vulnerable groups. Nutritional status, influenced by dietary patterns, environment, and access to healthcare, plays a crucial role in susceptibility to malaria. Malnourished children are more prone to severe malaria infections due to their underdeveloped immune systems. This research focuses on Kimi Health Center in Nabire Regency and aims to explore the relationship between the nutritional status of children under five and malaria incidence in 2024. The goal of this study is to determine the relationship between the nutritional status of children under five and malaria incidence at Kimi Health Center, Teluk Umar District, Nabire Regency, in 2024. The research design employs an analytical descriptive approach with a cross-sectional method to analyze the relationship between nutritional status and malaria incidence. Data was collected at one point in time and analyzed using univariate and bivariate analysis with the Kendall tau-b test through SPSS software. The results show that nutritional status significantly influences susceptibility to malaria. Children with poor nutrition are at a higher risk of experiencing severe malaria due to immune system dysfunction. Malnutrition, such as Protein-Energy Malnutrition (PEM), worsens parasitemia and anemia. Nutrient deficiencies, including iron, vitamin A, and zinc, also weaken the immune system. Therefore, improving nutritional status is a crucial effort in malaria control within endemic areas.

Penyakit paru-paru, seperti pneumonia dan kanker paru-paru, menjadi masalah kesehatan global dengan tingkat kematian tinggi, terutama dipengaruhi oleh polusi udara, infeksi, dan kebiasaan merokok. Pencegahan dan deteksi dini sangat penting dalam mengurangi dampaknya. Algoritma yang digunakan dalam penelitian ini meliputi Random Forest, XGBoost, dan Logistic Regression. Tujuannya yaitu untuk membandingkan performa tiga algoritma machine learning dalam mengklasifikasikan penyakit paru-paru menggunakan metrik evaluasi seperti, akurasi, presisi, recall, dan F1-score.  Setelah hyperparameter tuning, XGBoost menunjukkan hasil terbaik dengan akurasi 94,44%, presisi 94,98%, recall 94,44%, dan F1-score 94,41%, menunjukkan keseimbangan optimal antara presisi dan recall. Random Forest juga memberikan hasil yang sebanding dengan XGBoost dengan akurasi dan presisi yang tinggi. Sementara itu, Logistic Regression menunjukkan keterbatasan dalam menangani data yang kompleks, dengan performa yang lebih rendah pada seluruh metrik evaluasi. Penelitian ini menunjukkan bahwa algoritma berbasis pohon keputusan seperti XGBoost dan Random Forest lebih unggul untuk klasifikasi penyakit paru-paru, menjadikannya metode yang lebih andal untuk mendukung deteksi dini penyakit ini.
 
Kata kunci: Hyperparameter Tuning, Logistic Regression, Penyakit Paru-paru, Random Forest, XGBoost.

This research aims to explore and analyze the relationship between Pancasila, as the foundation of the Republic of Indonesia, and international principles of justice and equality. Pancasila, which consists of five precepts that reflect the basic values of the Indonesian nation, is expected to serve as a guideline in the application of the principles of social justice and equal rights in the international context. This study uses an analytical approach to evaluate how Pancasila aligns with various international conventions and standards related to human rights and social justice. It also discusses the challenges and opportunities in integrating Pancasila values with global norms, as well as its impact on Indonesia's public policy and international relations. The results show that while there is significant alignment between Pancasila and international principles on justice and equality, there are some challenges in its implementation that need to be addressed to ensure better harmonization between national and international norms.

This study examines the legal protection for stateless persons within the framework of citizenship and human rights. The focus is on assessing the effectiveness of international legal frameworks and national policies in safeguarding the fundamental rights of individuals without citizenship. The research employs a qualitative analysis of key legal instruments, including the 1954 Convention Relating to the Status of Stateless Persons and the 1961 Convention on the Reduction of Statelessness, alongside case studies of policy implementation across various countries. The findings reveal that, despite a robust international legal framework, there are significant gaps in implementation and enforcement, leading to ongoing discrimination and human rights violations against stateless persons. The study recommends comprehensive policy reforms and enhanced international cooperation to improve legal protection for this vulnerable group.

KKN Mandiri is a real work lecture activity carried out by students individually. It aims to increase awareness and understanding of early childhood children about the importance of saving as a provision for the future. The activity was carried out in two schools, namely Nur Ilmi Kindergarten, Jaranguda Village and Muhammadiyah 01 Medan Mandala Islamic Senior High School. Through socialization and motivation to save, it is hoped that children can develop a habit of living frugally and being responsible in managing money from an early age. The methods used in this activity include lectures, discussions, questions and answers, and making creative piggy banks from recycled materials. This activity is designed to provide an understanding that is easily accepted by children with a fun and interactive approach. The results of this community service activity show an increase in students' understanding of the benefits of saving. Students become more enthusiastic in setting aside their pocket money to save, both in piggy banks and in the bank. Through making creative piggy banks, students gain direct experience in the practice of saving and feel motivated to continue this habit at home. In addition, the involvement of parents and teachers also strengthens the positive impact of the program, where they are expected to continue to support children in saving. The conclusion of this activity is that the socialization of saving in early childhood has a positive impact in raising awareness of the importance of saving. The creative approach taken has proven effective in motivating students to start saving. This program is expected to be a foundation for children in forming good financial habits in the future. Continuous support from schools and families will greatly assist in maintaining the sustainability of saving habits in children.

A serious problem faced by the Indonesian people is the orientation of the current education system which focuses too much on developing the left brain (cognitive) and pays too little attention to developing the right brain (affective, empathy and feeling). The learning process is passive and rigid, which makes it unpleasant for children. Subjects related to character education (such as character and religion) emphasize the left brain aspect (memorization, or just knowledge) in practice. This can damage children's character and hinder their creativity. In fact, character formation must be carried out systematically and continuously involving aspects of knowledge, feeling, loving and acting. Character formation can be likened to the formation of a person into a body builder (bodybuilder) who requires continuous moral muscle training to become sturdy and strong. Apart from that, the success of character education must also be supported by a good and enjoyable educational environment for children. Character education is needed not only at school, but also at home and in social environments.

This study aims to increase motivation to learn mathematics by using  the Culturally Responsive Teaching (CRT) approach assisted  by Quizizz Paper Mode on class X exponential material at SMAN 21 Surabaya. Learning motivation is one of the important factors in achieving students' academic success. The low motivation of students to learn in mathematics subjects is the background of this research. This type of research is Classroom Action Research (PTK) which is carried out during 2 learning cycles. The data collection techniques used are observation and questionnaires. The results of the study show that the application of  the Culturally Responsive Teaching (CRT) approach assisted by Quizizz Paper Mode can increase students' motivation to learn mathematics. The increase can be seen from the increase in the percentage of students' learning motivation in the first cycle of 80.9% with a high category and the percentage of students' learning motivation in the second cycle of 90.93% with a very high category. The result of the increase in learning motivation from cycle I to cycle II was 10.03%.

This study aims to determine the effect of availability, effectiveness and ease of use of Qris on purchasing decisions. The method in this study uses a quantitative approach with descriptive analysis. The data used is primary data and analyzed using the SemPLS 4 method. The object used is members of the GMNI (Indonesian National Student Movement) organization. The results of this study are partially the availability, effectiveness and ease of use of Qris have an effect on purchasing decisions for members of the GMNI organization.

The aim of this research is to analyze the comparison of financial performance and stock returns before and after mergers and acquisitions which are moderated by good corporate governance. This research applies comparative quantitative methods, using secondary data. A population of 21 companies that have carried out merger and acquisition activities were registered with the KPPU in 2021 and listed on the IDX during the 2019-2023 period. A sample of 11 companies was obtained with a 4 year observation span using the purposive sampling method. The data analysis used was IBM SPSS version 27 software with hypothesis testing, namely paired sample t-test, t test, R2 test, and MRA test. The research results show that the ROA, CR, DER, TATO, EPS and Stock Return variables do not show differences before and after carrying out mergers and acquisitions. The proportion of independent board of commissioners cannot moderate the influence of ROA, CR and EPS on merger and acquisition performance. The proportion of independent board of commissioners can moderate the influence of DER, TATO, and Share Return on merger and acquisition performance.