Tuberculosis (TB) remains one of the main challenges in the health sector in Indonesia, with a fairly high number of cases each year. This study aims to analyze the distribution of TB cases based on occupation and identify community groups that are at higher risk of spreading this disease. The data used in this study were obtained from estimates of the 2022 TB epidemiology report. The results of the analysis show that informal workers, such as laborers and traders, are the group with the highest number of TB cases, at 36.0%. This is followed by formal workers (21.6%), farmers/fishermen (17.3%), housewives (14.4%), students (6.5%), and unemployed or retired groups (4.2%). The high prevalence of TB in informal workers is caused by several factors, including an unhygienic work environment, limited access to health services, and unhealthy lifestyles. Based on these findings, a more effective strategy is needed in efforts to prevent and control TB, especially for groups with high levels of vulnerability. Health education, increasing access to health services, improving work environment sanitation, and early detection programs are important steps in reducing the spread of TB. With the right intervention, it is hoped that the number of TB cases in Indonesia can be reduced significantly.

Analysis of the preliminary research phase as the basis for developing a biology practicum guide based on a scientific approach. The purpose of this study was to describe the initial research stage data obtained as a basis for developing teaching and learning materials based on research results that will be made in the future. The development model applied in this study is the Plomp model, which has reached the initial data investigation stage. Instruments for collecting data include interviews, observations, and questionnaires. The results of the student needs questionnaire revealed that students agreed that it was necessary to develop a practicum guide based on a scientific approach with a percentage of 94.73%. The teaching materials that have been used in learning are less effective so that students are less able to understand the subject matter. So it can be concluded that it is necessary to develop teaching materials for practicum guides based on a scientific approach on the material of the circulatory system and respiratory system in class XI SMAN 15 Pekanbaru.

potential if managed well. The Depapre coastal area is famous for its marine tourism. The sea water is still clean and clear, beautiful coral reef cover and the charm of seagrass beds with various types of fish that live around them are what attract tourists to visit this area. However, aquatic ecosystems, especially macroalgae, are under threat of degradation. The aim of this research is to identify types of macroalgae as initial data for monitoring and consideration in efforts to process biological resources, especially the composition and distribution of macroalgae.The method used is the roaming method (road sampling), the population of this study is various types of macroalgae found in Dormena coastal waters, while the research sample is all types of macroalgae found in the roaming area. The data obtained was processed qualitatively using a macroalgae identification key book. The results of research in the waters of Doromena village, identified 9 species of macroalgae, namely Chaetomorpha spiralis Okamura (Chorophyta), Halimeda macroloba Decaisne (Chorophyta), Phadina australis Hauck (Phaeophyta), Sargassum binderi (Phaeophyta), Sargassum cristaefolium C. Agardh 1820 (Phaeophyta), Turbinaria conoides (J. Agardh) Kützing 1860 (Phaeophyta), Chondrus crispus Stackh (Rhodophyta), Corallina officinalis Linnaeus 1758 (Rhodophyta), and Gelidium sp. J. V. Lamouroux 1813 (Rhodophyta). 

This study aimed to explore the impact of classical piano music on emotional responses among professional pianists compared to non-professionals. The piano, known for its extensive pitch range and dynamic versatility, serves as a pivotal instrument in both classical and popular music. Previous research has examined how music influences individual’s styles and behaviors. In our investigation, we analyzed electroencephalogram (EEG) signals to assess emotional responses in both groups, employing coherence measures. Listening tests were conducted to evaluate the effects of pitch and dynamics on emotional characteristics. Findings revealed that all ten emotional categories were significantly influenced by variations in pitch and dynamics. Specifically, emotions such as Happy, Romantic, Comic, Calm, Mysterious, and Shy generally increased with pitch, though a decline was observed at the highest pitches. Conversely, Heroic, Angry, and Sad emotions tended to decrease with rising pitch levels, while Scary emotions were pronounced at extreme low and high pitches. Regarding dynamics, emotions like Heroic, Comic, Angry, and Scary were more intense with loud notes, whereas Romantic, Calm, Mysterious, Shy, and Sad emotions were enhanced with softer notes. Notably, the emotion Happy showed no sensitivity to dynamic changes. These results provide valuable insights into the quantification of emotional characteristics associated with piano music.

The human body cannot work properly without water. Therefore, it is essential to conduct testing and monitoring of drinking water quality to ensure its safety and suitability for consumption. This has prompted researchers to develop more efficient systems compared to traditional methods. This study employs a systematic literature review approach by analysing various published articles to identify and evaluate the application of different types of sensors capable of detecting physical and chemical parameters for assessing drinking water quality. The findings indicate that the integration of sensors, microcontrollers, and Internet of Things (IoT) technology can provide accurate data that is accessible in real-time and remote locations. Furthermore, to enhance the reliability of the system, it is necessary to further develop data processing algorithms by applying artificial intelligence (AI) and/or machine learning technique to create smart systems with improved predictive capabilities. The implementation of these technologies is expected to support the Indonesian government’s Sustainable Development Goals (SDGs) by providing safe and affordable access to drinking water for all its citizens.

An effective school payment system will trigger the performance of the agency to be better than before. Web-Based School Administration Payment System Application at SMPI Nurush Shodiqin, In the world of education, an efficient and integrated administration system is very important to maintain the smooth running of academic and management processes, including data management of students, teachers, and school management. Nurush Shodiqin Islamic Junior High School (SMPI), as one of the educational institutions in the region, experiences problems in administrative management. The administration system used is still manual, especially in terms of recording student data, recapitulating grades, and paying tuition fees. This causes various problems such as data input errors, loss of important records, and delays in delivering information to related parties. . Therefore, the implementation of a Web-based Administration System at SMPI Nurush Shodiqin is a relevant solution. This system is expected to be able to overcome existing problems and improve the quality of school administration services. With a web-based system, it is expected that the administration process can be carried out more quickly, accurately, and transparently.

Quipper School E-Learning is a learning media with an E-Learning system based on open source which is a link between students and teachers in the division of tasks online. Learning using the E-Learning Quipper School media can be done anywhere, providing teaching materials according to the curriculum, students can see the value of learning otcomes directly, students and teachers can discuss through this media so that students become more active. The purpose of this study was to determine the effect of using Quipper School e-learning media on the learning outcomes of class X High School of ITCI Penajam Paser Utara on the nomenclature of chemical compounds. The type of research used is quasi-experimental research with a Post Test Only Control Group Design. The population in this study were all class X students of High School of ITCI Penajam Paser Utara for the 2023/2024 academic year. Class XI-2 as an experimental class that uses Quipper School e-learning media and Class XI-1 as a control class that does not use Quipper School e-learning media. Data collection uses tests in the form of post-tests and daily tests as well as non-tests, namely student response questionnaires, observation sheets of teacher and student activities. The results of data analysis show that the value of learning outcomes in the experimental class is 86, higher than the control class which is 81, so it can be concluded that the use of Quipper School e-learning has an effect on students' cognitive learning outcomes in thermochemical material.

Students who excel must receive guidance on the development of each student's individual potential in order to produce superior and quality students. To complete this task, student achievement is taken into account. The Analytical Hierarchy Process (AHP) approach is one method that can be utilized in decision support systems. can do weighting to determine selection criteria and alternatives, starting from the definition of the problem. The purpose of evaluation or weighting in a decision support system, such as that carried out using the Analytic Hierarchy Process (AHP) approach, is to assess and compare the value or characteristics of each alternative based on predetermined criteria. This process allows us to understand how important each criterion is in achieving the main goal, so that the decisions taken are more structured and objective. Based on the method used, the system provides valid and accurate findings. The final result of determining the priority weight of alternatives based on ranking
 
 

This study aims to determine the differences in student learning achievement between the control class and the experimental class, and to determine the effect of the Integrated Cooperative Script Al-Quran Learning Method on the Concept of the Reproductive System on the Learning Outcomes of Class XI Students of SMAS Al-Washliyah 3 Medan. The method used is an experiment whose implementation uses a quasi-experiment type with a nonequivalent control group design. The study population consisted of 48 students, namely class XI IPA-1 totaling 26 students and class XI IPA-2 totaling 22 students. Less than ideal results were observed for learning outcomes in the control class when the Cooperative Script Learning Method was not integrated with the Qur'an. An average of 78.6 describes the learning objectives. The Cooperative Script Learning Method Integrated with the Qur'an resulted in an increase in learning outcomes in the experimental class. The average (85.7), mode (87) and median (87), maximum value (97), and lowest value (75) all indicate learning outcomes. At a 5% error rate, the calculation of the independent sample t-test revealed that t table < t count (3.07 > 2.01). The experimental class had a higher percentage increase from pretest to posttest (85.15%) compared to the control class (77.98%). Therefore, the implementation of the Cooperative Script learning approach effectively contributed 55% of the total. Thus, it can be said that the learning outcomes of the experimental class that utilized the Integrated Cooperative Script Al-Quran Learning Method and the learning outcomes of the control class that used the Non-Integrated Cooperative Script Al-Quran Learning Method were significantly different.

Many people utilize social media to interact, including students who are the most technologically literate. Apart from having a positive impact on its users, social media also has a negative impact. One of the negative impacts of social media is the increased risk of personal data security. The purpose of this study is to analyze the level of awareness of students in Yogyakarta regarding the protection of personal data on social media. The method used is mixed method, surveys were distributed to respondents, namely students from various schools in Yogyakarta. Researchers also conducted interviews with 15 participants to get a more in-depth picture. This research examines the level of understanding and awareness of students in Yogyakarta regarding how they understand data sharing behavior, privacy settings and their perceptions of threats or risks in cyberspace. The results showed that the majority of students have a high level of awareness regarding basic privacy measures, but they also have a poor understanding of the threats and risks associated with sharing personal data.The majority of students rarely update their privacy settings. They only use the default settings built into social media. The implication of the study is the need to integrate digital literacy programs that focus on data security and privacy into the school curriculum. The conclusion is that there is awareness among students regarding the importance of protecting personal data, but more efforts are needed to improve students' knowledge in digital privacy management. Further research is needed to assess the long-term impact of educational interventions on privacy-conscious behavior in the digital world.

Crime is a problem experienced by humans from time to time, crime often occurs because of several factors, one of which is due to the lack of security of the address so that many criminal acts occur. Hamparan Perak Police is trying to increase its commitment to safeguard and protect the community through efforts that are organized consistently and continuously. The rise of criminal acts that occur, such as motorcycle theft, persecution, and the rise of robbery in the middle of the road makes residents feel unsafe and always feel threatened at certain addresses. Therefore, to determine the vulnerable pattern of crimes committed, it is necessary to determine the group to determine the vulnerable area or not using the clustering method, which aims to be able to assist the police in conducting socialization and actions for public security by combining objects in a group with each other and different from objects in other groups. From the tests carried out using the clustering method with the K-Means algorithm, it can be seen that the group of criminal data that has the highest group and most often appears when processed is the criminal act of theft, the pattern of criminal acts in quiet areas, has been monitored and planned in klambir village.

This study aims to determine the influence of the Discovery Learning learning model on the cognitive learning outcomes of students' biology on the material of the human digestive system in class XI of SMA Negeri 2 Tondano. With this research method, it is quasi-experiment research. The result is a significance value (2-tailed) < 0.05, then H0 is rejected and H1 is accepted. In the results of the "t" test, a significant number (2-tailed) 0.000 < 0.05 is obtained, then H0 is rejected and H1 is accepted, meaning that there is an influence of the discovery learning model on the learning outcomes of Biology. Then it is seen from the average learning outcomes after being given treatment. Based on the results of the analysis, it shows that the average value of the experimental class at the time of the Pretest is 31.24 while the control class is 24.49. At the time of the posttest, the average score of the experimental class reached 86.82 while the control class was 57.27.

Organisasi Pengembang Indonesia berfokus pada penyediaan perumahan bagi masyarakat berpenghasilan rendah (MBR). Namun, pengelolaan data menggunakan Ms. Excel menyebabkan berbagai kendala, termasuk dalam mengelola data anggota, perumahan, produk tagihan, dan laporan periodik. Proses pembayaran manual yang sering terlambat juga mempengaruhi operasional dan reputasi organisasi. Untuk mengatasi masalah ini, diusulkan sistem informasi berbasis Web dengan Framework Laravel. Objek penelitian ini adalah pengembangan sistem tersebut dengan tujuan untuk meningkatkan efisiensi pengelolaan data, keamanan transaksi, dan komunikasi dalam organisasi. Pengembangan sistem informasi ini menggunakan metode Agile dengan pendekatan Scrum. Pendekatan ini dipilih karena memungkinkan iterasi cepat dan umpan balik berkelanjutan dari pengguna. Sistem yang dikembangkan terintegrasi dengan Midtrans sebagai Payment Gateway untuk memfasilitasi pembayaran yang aman dan efisien, serta Wablas sebagai Whatsapp Gateway untuk notifikasi otomatis. Pengujian sistem dilakukan menggunakan metode Black Box, di mana setiap fitur diuji berdasarkan fungsionalitasnya tanpa melihat ke dalam struktur kode.
Hasil implementasi menunjukkan bahwa sistem informasi berbasis Web ini memungkinkan admin mengelola data anggota, perumahan, produk, dan tagihan dengan lebih efektif. Fitur-fitur yang disediakan meliputi login, master data, transaksi, pendaftaran anggota, perpanjangan keanggotaan, perumahan, produk, dan laporan. Semua fitur telah diuji menggunakan pengujian Black Box dan berfungsi dengan baik. Dengan adanya sistem ini, diharapkan dapat meningkatkan efisiensi pengelolaan data, keamanan transaksi, dan komunikasi, serta mengatasi kendala yang ada dalam proses pengelolaan data dan pembayaran di Organisasi Pengembang Indonesia.

A bakery is a business operating in the food sector that sells various kinds of bread and cake products and sometimes they sell drinks, food and products related to the cake and bread industry. Data collection for all aspects of previous sales uses memory and by recording it in books or on paper. This journal was written using a distributed system method. Due to the ineffectiveness of existing data collection, to prevent errors in information collection, this system was created to be a solution to this problem. With the aim of increasing effectiveness, this system was created.

Along with the development of the times, the use of information technology using computers as its media has increased rapidly. Indonesia is currently starting to adopt the concept of society 5.0 or what is known as Society 5.0, where this kind of activity focuses on community settings that are oriented towards IT-based human activities (Wijayanti et al., 2022). The application of the concept of "society 5.0" has brought many technological advances in various fields of life that are connected to the internet, especially in Indonesia. The base64 technique produces values ??during text encoding that are difficult for laypeople to understand. This encryption program has the ability to convert plain text to cipher text and reverse cipher text after it is received. Several recommendations for the development of better applications in further research can be made based on the test findings of this study and the conclusions mentioned above. These include the following: The Vigenere Chipper application can only encrypt text messages
 
 

Expert systems are one type of computer technology that is being used by a used in the medical field to assist physicians in patient examinations is expert systems.The goal of this is to improve patient care both now and in the future.system with expertise  is an application that replicates how an expert would reason to solve a particular problem or acts similarly to an expert due to its understanding of a knowledge base that has to be processed and its ability to solve problems. An expert system's diagnosis of epilepsy leads to the creation of a system that can offer individuals with the condition a consultation service for the purpose of diagnosing the condition and providing information on treatment options. This is demonstrated by the development of numerous technologies that facilitate the work of numerous parties. One of them is computer-related and uses Expert System Science to assist in the diagnosis of epilepsy. The Certainty Factor approach is employed in this study. Thirteen symptoms and three different forms of epilepsy—general, partial, and secondary—were used in this investigation. The study's findings indicate that, based on the chosen symptoms, the most accurate diagnosis is Partial Primary, Partial Secondary, with a confidence level of 74%, and the most accurate diagnosis is Generalized Epilepsy, with a confidence level of 99%.