As we know, in this era of rapid technological progress, we cannot avoid threats to cyber security, cyber security itself is an effort to protect computer systems and data from various threats. In Indonesia alone, as of September 13, 2022, there have been recorded as many as 12.74 million accounts that have experienced leaks, and this makes Indonesia the 3rd country with the most number of data leaks in the world. One solution that can be done to protect the data that is owned is to put it in an archive such as ZIP, ZIP functions to combine several rice into one and reduce the size. And to secure the data in a ZIP file, you can set a password. The password is a combination of letters, numbers and symbols, with this combination it will be difficult for hackers to carry out their actions.

Rafka Baby Convection is an industrial business that produces baby clothes that has been established since 22 years ago. Sales data collection at the Rafka Baby Convection is still done manually. This study aims to find out what are the needs and problems in sales data collection and to design a sales database in developing the Rafka Baby Convection business. The method used in this study is the method of data collection by interview and literature study, as well as the system design method, which means the author designs a new database system based on the results of data collection. The results show that sales at Rafka Baby Convection are still manual in the sense that sales are made without a database system regarding the goods sold, buyers, payments, and transactions. Therefore, a database design was made to help collect data on the Rafka Baby Convection. The database created is designed using a MySQL database and is managed in the PhpMyAdmin application. This database design is expected to be able to provide convenience in collecting sales data at Rafka Baby Convection.

In writing this study aims to review the implementation of tree data structures on web blogs as learning media, starting from a discussion of the implementation of data structures. After that, it was continued with the use of blogs as an applied learning medium. The use of tree data structures is one of the most common data structures used in the development of a web. One of the efforts to streamline and provide a variation in the realm of learning media is to create a web blog, especially in the era of globalization, everyone who lives in that era should at least know about one of the results of technological and communication advances. This study will see how the description or description of the application of tree data structures on blogs as learning media. The making of this research uses a qualitative descriptive method in which the data is obtained from observation and documentation of matters relating to the topic under study. The core discussion of this research is the implementation of data structures on blogs as learning media.

CV. Syahfira Bakery and Cake is a business engaged in the production of cakes, pastries and bread. The more a business develops, the transactions that occur daily also increase. However, sometimes the sales transaction data is not fully utilized properly by administrative staff and company owners. In fact, if it is processed and used by administrative staff and supervised by business owners, then sales data will have a major influence on product sales in the future. Data processing can be done using data mining techniques, these data sets can produce new information, one of which is customer purchasing patterns. Syahfira Bakery and Cake is a cake, sponge and bread shop that has not fully utilized data for determining sales business strategies. With these problems, it is necessary to use transaction data to be processed with the Apriori algorithm so that it can provide new knowledge that can be utilized by shop owners. Based on the research that has been done, from the 20 processed transaction data, results are obtained that meet a minimum support of 30% and a minimum confidence of 70% and one rule is obtained, namely if a customer buys chocolate jam products, he will buy plain bread

Information System for Savings and Loans Cooperatives Using Visual Basic Case Studies at the Semarang Regency Regional Employment Agency is an information system created to overcome data processing problems which are still in the form of manual bookkeeping and even there is no evidence of deposit transactions, loans and installments and existing storage can be overcome by creating an information system for processing data on savings and loan cooperative transactions and creating a more secure and efficient data storage information system. Savings and loan information system design methods are made using R&D, Flowchat, DFD, ERD, and Normalization methods. The program used to create this application uses the Microsoft Visual Basic 6.0 programming language and MySQL as database management. The results of this study indicate that the savings and loan cooperative information system that is applied in the Savings and Loans Cooperative of the Semarang Regency Regional Civil Service Agency can be used to process member data, process savings data, process loan data, process data that has been paid off, process SHU distribution data, and make reports. finances safely and efficiently.

Inspection and implementation of ICT in competition management at Next Gen's Party Koi Show #2. Training with two-way interaction methods, presentations and exercises on how to use the activity registration application and back office application to manage activity participants and provide support on activity days. Next Gen's Party Koi Show #2 Online Registration Application Install Next Gen's Party Koi Show #2 Back Office Online Application Install Next Gen's Party Koi Show #2 Participant Registration Support Activities Next Gen Support Committee Party Koi Show #2 activities in Participant management.

The development of the Bangbeli application is one of the efforts to increase the number of users. However, to ensure that these changes and additions meet the users' needs, user validation is required to verify that the developed application meets the defined business requirements and functionalities, thereby providing benefits to both the company and end users. User acceptance testing aims to determine the respondents' feedback on a system that has been created. The results of this testing yield the user acceptance test results, which consist of three aspects: design interface, user-friendliness, and efficiency. The agreement percentages for each aspect are 69.64%, 71.12%, and 68.76% respectively.

Fundraising activities have become a common method to achieve various objectives, including charitable activities and gathering funds from investors for companies. However, cases of fund misuse often occur, leading to inappropriate use of funds or even unfair loss. Therefore, an innovative approach is needed to enhance trust and transparency in the fundraising process. In this study, the use of smart contracts on a blockchain network will be employed as a solution to ensure the security and integrity of each transaction in fundraising activities. By utilizing smart contracts, all transactions in fundraising activities can be verified by all users on the blockchain network. Transaction data recorded on the blockchain is permanent and tamper-proof, preventing any manipulation or fund misuse. Leveraging smart contracts and blockchain technology, fundraising activities can be conducted more efficiently, transparently, and securely. This approach helps improve trust among involved parties and reduces the risk of fund misuse

Along with current technological developments, security for data information residing on websites is very vulnerable to crimes in the internet world such as attacks on security holes in the database layer or often known as SQL Injection. SQL Injection attack is a method to insert SQL commands as input through an application, namely Kali Linux, in order to gain access to the database. This attack can find out usernames, passwords, and other data that is in the database. So that the SQL Injection attack is one of the most popular attacks and is often used to take advantage of security holes in the system because of how easy it is to use it. This study aims to test the level of effectiveness of SQL Injection attacks using the tools in it against a website. Testing the effectiveness is done by doing a comparison between the three tools that are in SQL Injection. The results of the research on the effectiveness of the tools in SQL Injection are the accuracy of database search times and the accuracy of information from the database.

Myers-Briggs Personality Type (MBTI) is a popular personality metric that uses four dichotomies as indicators of personality traits. This study uses a public dataset from Kaggle, namely the Myers-Briggs Personality Type Dataset, the model tested is several machine learning classification models with the help of imlearn under-over sampling techniques for classifying MBTI personality types. This study aims to classify the Myers-Briggs Type Indicator (MBTI) personality type based on text from user posts on the social media platform Reddit. The dataset used in this study consists of around 8,000 posts collected from the MBTI subreddit. Several text processing methods such as tokenization, punctuation removal, and stemming are used to process the raw data before it is entered into the model. The experimental results show that the LSTM model using Adam's optimizer and a learning rate of 0.01 produces good performance with an accuracy of 80.73 compared to other machine learning models. In addition to the LSTM model, XG Boost is also a classification model with the highest accuracy based on 16 personality types producing an accuracy of 60.09 and Logistic Regression with the NS dimension as the best accuracy value of 87.21%.