Fractions and decimals are basic mathematical concepts that have an important role in various aspects of daily life. This article discusses how fractions and decimals are used in daily activities such as measuring, calculating, and carrying out financial transactions. For example, in cooking, fractions are used to measure food ingredients, while decimals often appear in weight and length measurements. In economic transactions, decimals are key in rounding numbers and calculating prices. This article also explains the importance of understanding conversions between fractions and decimals to make decision making easier, both in personal and professional contexts. By providing applicable examples, it is hoped that this discussion can increase appreciation of the role of fractions and decimals in real life and encourage deeper mastery of these concepts.

The purpose of this study is to discuss the role of educational philosophy in the development of educational theory and practice in Indonesia. Education is an essential component of human life. Education is critical in shaping human character and traits. The author employs qualitative research techniques. The author employs a literature review as a research method, while perusing and observing multiple written sources of information associated to the topic of educational philosophy's role in the formation of the Independent Learning Curriculum in the development of educational theory and practice in Indonesia. According to the research findings, the Independent Learning Curriculum is a curriculum designed by the Ministry of Education, Culture, Research, and Technology to give educational institutions flexibility in establishing a curriculum based on their unique requirements and features. The autonomous Learning Curriculum embodies the ethos of autonomous learning, specifically the spirit of student-centered learning. This paper concludes that theme learning is one of the learning approaches used in the Merdeka Belajar curriculum. This is consistent with the progressive educational concept, which holds that education must be focused on students' needs and interests.

Sabrang Hamlet in Purwosari Village has significant potential for SME development, especially in bamboo crafts. This community service activity aims to provide insights and skills to SME actors in developing businesses through product innovation and digital marketing strategies. The implementation method was conducted through face-to-face counseling and technical guidance assisted by Untidar KKN students. The activity was held on January 19, 2025, at the Purwosari Village KKN Team Post with a total of 27 participants. The activity results showed three main SMEs with development spirit: 'Happy Snack', 'Snack Teteh', and 'Box of Story'. The KKN team provided assistance in the form of logo creation, business registration, creating Google Maps locations, and digital marketing optimization through social media platforms such as TikTok Shop, Facebook, and Instagram.

Purpose: The objective of this study is to assess the usability of the Baraya Travel application, highlighting areas for enhancement to improve the online ticket booking experience for users. By concentrating on the Baraya Travel app as the research subject, the study intends to offer valuable insights for its developers. It emphasizes user feedback and recommendations to improve interface navigation, application speed, and the addition of new features, ultimately increasing convenience and ease of use. This study aims to provide an extensive examination of the app's performance, identifying precise areas where improvements can be made.
Methods: Using the Usability Testing methodology, particularly emphasizing the System Usability Scale (SUS), this study employs a quantitative research strategy. Surveys were administered to 409 Baraya Travel application users to gather primary data concerning usability aspects including user interface navigation, application responsiveness, and user convenience. The statistical analysis utilized both descriptive statistics, encompassing measures of central tendency and variability, to summarize the data, and potentially inferential tests like correlation analysis or t-tests, to investigate relationships and disparities between variables. The selection of statistical analysis aimed to offer a thorough interpretation of the data and extract meaningful insights into the usability of the Baraya Travel application. Furthermore, the utilization of the SUS evaluation metric provided a standardized measure to evaluate usability and facilitate comparisons across studies, ensuring consistency and reliability throughout the evaluation process.
Result: The examination of the SUS questionnaire indicated that users of the Baraya Travel application provided an average score of 75.26. This score suggests that the application demonstrates a commendable level of usability, earning a "Good" rating and a Letter Grade of "B". Nonetheless, there remains potential for enhancement to reach the desired standard of perfection. Users offered invaluable feedback and suggestions, highlighting the necessity for enhanced user interface navigation, improved application speed, and the implementation of additional features to augment convenience and user-friendliness.
Novelty: This research provides valuable insights for Baraya Travel application developers, emphasizing areas for improvement based on user feedback and suggestions. It contributes to the progression of online ticket booking systems, with the goal of enriching the overall travel experience for users. Highlighting the significance of user-friendly interfaces, efficient application performance, and convenient features is crucial for enhancing user satisfaction and fostering loyalty. Subsequent research endeavors could explore further factors influencing user satisfaction and loyalty in the context of digital travel applications.

Purpose: This research aims to develop a system for detecting the credibility of information on social media X by classifying tweets as credible or non-credible. Additionally, it seeks to improve the accuracy of classification and prediction of information credibility using feature extraction methods, semantic features, feature expansion, and optimization.
Methods: The system is built using a deep learning approach with Long Short-Term Memory (LSTM), Term Frequency-Inverse Document Frequency (TF-IDF), Robustly optimized BERT Approach (RoBERTa), Global Vector (GloVe), and Particle Swarm Optimization (PSO). The dataset consists of 54,766 Indonesian tweets from social media X, focusing on the 2024 General Election and using several keywords such as ‘Pemilu 2024’, ‘Pilpres 2024’, ‘anies baswedan’, ‘Prabowo’, ‘#GanjarPranowo’, and ‘#debatCapres’.
Result: The results of this study show that the highest accuracy achieved is 89.09% using LSTM with an 80:20 data split, baseline unigram, RoBERTa, Top1 corpus IndoNews, and PSO of the LSTM model’s hyperparameters, resulting in a highly significant statistical improvement of 0.96% over the baseline model.
Novelty: This research contributes to information credibility classification research using RoBERTa to add semantic features and GloVe to expand features by utilizing a built corpus and finding similar words to connect with these expanded features. Additionally, PSO is applied to find the optimal hyperparameters, thereby improving the performance and accuracy of the LSTM classification model.

This research is aimed at evaluating the policies issued by the Jambi Provincial Government in order to organize coal transportation. Since 2012, the Jambi Provincial Government has issued a series of policies aimed at regulating coal transportation so that its negative impacts, particularly related to congestion and road damage, can be overcome. Using William N. Dunn's policy evaluation concept which consists of six indicators, namely: effectiveness, efficiency, alignment, adequacy, responsiveness and accuracy. This research uses a combined qualitative and quantitative approach by interviewing the Department of Transportation and the Department of Energy and Mineral Resources of Jambi Province, the Directorate of Traffic and Traffic of the Jambi Regional Police, the community and public policy observers as data sources. Data were analyzed using qualitative data analysis consisting of data reduction, data presentation, data analysis and conclusions. The research results reveal that there are three indicators that are of particular note to the Jambi Provincial Government regarding the handling of coal transportation in Jambi. First, the Jambi Provincial Government's policies have not been effective in overcoming the negative problem of coal transportation because long traffic jams and road damage often occur. Second, with the limited authority it has, the Jambi Provincial Government is quite efficient in overcoming coal transportation problems through a series of policies from 2012-2022. Third, the Jambi Provincial Government's policies are not appropriate to overcome the problem, because what is needed is the construction of a special coal road or using the Batanghari River. 

Purpose: Cybercrime is an unlawful act that utilizes computer technology and the development of the internet. Cybercrime can occur on all electronic devices, including Android smartphones. Forensic handling, particularly mobile forensics, has become crucial in addressing drug trafficking cases conducted through Instagram. As the primary device for accessing Instagram, smartphones store digital data that can serve as evidence in investigations. This research aims to produce a more accurate comparison of results in analyzing Instagram Messenger data containing content related to drug trafficking.
Methods: The digital evidence data used in this research included five types of data: text chat, account, image, audio, and image view once. The forensic tools for obtaining digital evidence were MOBILedit, Belkasoft, Mobile Forensic SPF, and Magnet Axiom. The method proposed in this research followed the NIST framework, which consists of four stages: collection, examination, analysis, and reporting. This research followed the NIST framework because it is widely recognized in the field of digital forensics and provides a comprehensive guideline for handling digital evidence.
Result: Research results showed that Magnet Axiom had the best performance in digital forensic analysis, with a success rate of 74.1%. MOBILedit Forensic had a success rate of 62.5%, indicating lower performance. Mobile Forensic SPF had a success rate of 44.6%. In comparison, Belkasoft had the lowest success rate of 23.2%, showing that this software could be more effective in detecting and analyzing digital data than the others.
Novelty: In this study, the analysis process was conducted using four digital forensic tools, each showing variations in terms of efficiency and effectiveness. Each tool has advantages and disadvantages regarding speed, accuracy, and ability to extract and manage data.

Chicken Nuggets   is   a   processed   product   made   from   ground   meat   with   several   additional ingredients and moulded in various shapes. Innovatio in the use of breadfruit which has nutrients in the form of carbohydrates, fiber, protein, vitamins, and so on so that this food product has the potential to be of choice materials in chiken nugget product. Meanwhile,  Lampisang  Village,  Peukan Bada District,  Aceh Besar Regency,  as  a  location  for Community  Service  activity. The activities carried out were counseling and demontration on chicken nuggets with addition buah sukun. From this activity it can beconcluded that the implementation through community service processing chicken meat with addition buah sukun into nuggets, service participants can increase their knowledge and skills  in diversifikasi chicken meat. The implementation of the activity has been successful and has receiveda good response.

The development of competent human resources (HR) is a top priority for improving the quality of life in society. In education, teachers' ability to enhance their skills is key to successful learning. However, many teachers struggle to adapt teaching methods to the demands of the digital era, especially in utilizing Artificial Intelligence (AI) technology. AI offers innovative solutions such as personalized learning and adaptive platforms that enhance the effectiveness of teaching and learning processes. This study examines the implementation of AI-based learning models and teacher training programs in Muhammadiyah schools in Semarang. Using the Training of Trainer (ToT) approach, the program equips teachers with skills such as using adaptive learning tools and AI-based evaluation systems. The study employs a mixed-methods approach involving practical training and result evaluation. The findings reveal improved digital literacy and confidence among teachers in using AI for interactive learning. In conclusion, AI has great potential to transform education, but its success depends on comprehensive, ethical, and sustainable strategies. The ToT program serves as a strategic step to empower teachers to face educational challenges in the digital era.

The healing process of a tooth socket after extraction involves various stages, including the proliferation of fibroblasts that play a role in the formation of new tissue. Natural ingredients have long been used in accelerating wound healing, but their effectiveness in increasing the number of fibroblast cells still needs to be studied further. To determine the effectiveness of natural ingredients in increasing the number of fibroblast cells in the tooth socket of Wistar rats after tooth extraction. Methods: This is a literature review that collects and analyzes scientific articles from various databases such as PubMed, Google Scholar, DOAJ, Garuda Portal, and CrossRef. The selected articles met the predetermined inclusion criteria, including studies conducted on Wistar rats and using natural ingredients as interventions. Red ginger extract at 10% concentration was found to be the most effective ingredient in increasing the number of fibroblasts and accelerating wound healing. Red ginger extract (Zingiber officinale var. rubrum) is the most effective natural ingredient in increasing the number of fibroblast cells in the tooth socket of Wistar rats after tooth extraction.