Dental and oral health problems are still a major challenge for early childhood, especially due to the lack of knowledge and skills in brushing teeth properly. This study aims to determine the effect of the snakes and ladders game as an educational method in improving the knowledge and skills of brushing teeth of early childhood at Ar-Rahimah Kindergarten, Jambi City. This study used a quantitative method with a quasi-experimental one group pretest-posttest design. The research sample was 40 Ar-Rahimah Kindergarten students. The research instruments were knowledge questionnaires and skill observation sheets. The intervention given was a snakes and ladders game that had been modified with educational content related to dental health, accompanied by a demonstration using a tooth phantom. Analysis using the Wilcoxon Signed Ranks Test showed that there was a significant effect between before and after treatment on knowledge (p = 0.000) and skills (p = 0.000). The conclusion of this study is that the snakes and ladders game media can improve the knowledge and skills of brushing teeth of early childhood. It is recommended that the use of snakes and ladders game media can be used as an innovative approach in children's dental health education.

Purpose: This research aims to improve the accuracy of sentiment analysis on PLN Mobile app reviews by overcoming the challenge of data imbalance. This goal is important to provide a better understanding of user opinions and support PT PLN (Persero) in improving mobile application services.
Methods: This research uses the Random Forest algorithm combined with Synthetic Minority Over-sampling Technique (SMOTE) to handle imbalanced data. Data is collected through web scraping reviews from the Google Play Store, followed by preprocessing processes such as data cleaning, stopword removal, tokenization, and stemming. Feature extraction is performed using the Bag of Words (BoW) method, and the data is tested with four sharing schemes.
Result: The results showed that the 90%-10% sharing scheme gave the best performance with an accuracy of 81% and an average precision and recall of 0.79. This finding confirms that the larger the proportion of training data, the better the model performs sentiment classification.
Novelty: This research's novelty lies in combining SMOTE with BoW and Random Forest to overcome data imbalance. This approach is a significant reference for future sentiment analysis research. It provides practical insights that PT PLN (Persero) can use to improve the quality of its application services.

Linguistics plays a crucial role in studying and understanding the structure of language, including in the context of Arabic. The Arabic language, with its complex system of morphology, syntax, and phonology, requires an in-depth linguistic approach to analyze its grammatical structure. This study aims to explore how linguistic theories, such as phonology, morphology, syntax, and semantics, contribute to understanding the basic structure of Arabic. Through linguistic approaches, a clearer and more structured understanding of sentence structure, word patterns, and the relationships between language elements can be achieved. This paper also discusses the challenges faced in applying linguistic theories to Arabic, as well as the importance of a linguistic approach in teaching Arabic to non-native speakers. The findings of this study are expected to provide broader insights into the role of linguistics in learning and teaching Arabic more effectively and systematically. 

Milk consumption and the need for beef cattle for food purposes or sacrificial purposes continue to increase from year to year. This increase is in line with the increasing level of the economy and awareness of the need for nutritious food. However, the increase in demand still faces many production constraints due to the difficulties faced by farmers, the decline in cattle production from year to year in Indonesia. This causes Indonesia to have to import beef for 35.95% of the total national beef consumption. With many factors that affect the decline in the production rate of dairy cows or beef cattle every year, one of them is air pollution and poor air quality in cages. Along with the development of technology, a monitoring and detection system for air cleanliness in cattle pens was created, using the MQ-7 sensor as the concentration of carbon monoxide, the MQ-135 sensor as the concentration of ammonia gas, the MQ-2 sensor as the smoke detection, and When the air pollution value of each sensor input is according to the air pollution standard index (ISPU), the outputs namely indicator lights, buzzers and blowers will be on, then there will be temporary air neutralization in the cage. This tool is made easier by internet of things technology, so that it can send notifications via telegram and can see the level of air pollution levels through the web.

The utilization of electromagnetic fields (EMF) in modern medical technology has become a significant focus of research. This study aims to explore the therapeutic effects of EMF, especially at low frequencies (ELF) and Pulsed Electromagnetic Fields (PEMF), in enhancing the healing of various medical conditions. The method used is a literature study by analyzing various sources from Google Scholar, Science Direct, and PubMed. The results showed that EMF therapy is effective in relieving pain, accelerating tissue healing, and improving the quality of life of patients with musculoskeletal disorders and fractures. Despite the many benefits, it is important to consider the potential health risks of long-term exposure to EMF. This study recommends the development of strict regulations and training for medical personnel to ensure the safe and effective use of EMF.

The Corona Virus Disease 2019 (Covid-19) pandemic was first known to have appeared in Wuhan City, China in December 2019 and was declared a global pandemic by the World Health Organization (WHO) on March 12 2020. This virus has spread very quickly to several countries in the world, including Indonesia where the Covid-19 pandemic has been designated as a type of disease that causes a Public Health Emergency on March 31 2020. With this determination, mitigation efforts must be carried out in accordance with statutory regulations in emergency response period for handling Covid-19. Tourist attractions have the potential to become a locus for the spread of COVID-19 if there is a gathering of visitors while traveling, causing the need for health protocols in carrying out activities at that location. This research uses qualitative research which aims to gather information about the compliance of people at tourist attractions with the health protocols implemented in Jambi City. The results of this research show that the implementation of the health protocol, namely 5M (wearing a mask, washing hands, maintaining distance, staying away from crowds and reducing mobility) is carried out well and is carried out directly by the government and tourist attraction owners through CHSE (Clean Health Safety and Environment). And the community has good knowledge, attitudes and behavior in complying with the health protocols implemented. The conclusion of this research is that the implementation of health protocols at various tourist attractions in Jambi City has gone well with supervision carried out by the government and tourist owners.

Pakar psikologi mengingatkan pentingnya untuk tidak meremehkan kesehatan mental atau depresi sejak dini karena dapat menyerang berbagai usia dan mampu memengaruhi kondisi psikis penyintasnya. Mulai dari menyalahkan orang lain, menyakiti diri sendiri, hingga menyebabkan keinginan bunuh diri, merupakan bahaya yang mengancam saat seseorang depresi. Oleh karena itu penelitian ini bertujuan untuk membuat perhitungan dengan metode fuzzy sugeno untuk mengukur tingkat depresi pada mahasiswa dan membuat sistem yang mempermudah pengguna untuk mengetahui tingkatan depresi yang dialaminya. Sampel dalam penelitian ini adalah mahasiswa Ilmu Komputer Universitas Negeri Medan. Pengambilan sampel dilakukan dengan teknik Stratified Random Sampling. 60 responden yang terukur, terdapat 40% yang terindikasi tidak ada depresi/gangguan mood, 45% terindikasi depresi sedang, dan 15% terindikasi depresi berat. Hasil akurasi metode fuzzy sugeno yang dihitung menggunakan Mean Absolute Error (MAE) dengan memperoleh 5,36 yang artinya rata-rata kesalahan mendekati nilai sebenarnya.

Science and technology will facilitate human work. However, on the other hand it will increase competition. In facing intense competition, it is necessary to have competent human resources. Students are expected to be academically prepared, in the form of knowledge and skill readiness to face increasingly fierce competition. One way to see student competence is to look at learning outcomes that can be represented by the exam scores taken. The midterm exam (UTS) is a form of exam which is an assessment component. By knowing the UTS scores, the lecturer knows the distribution of students in terms of academic competence. For this reason, it is necessary to group (clustering) using the k-means algorithm as a consideration for lecturers in forming student study groups based on UTS value clusters.