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%.