Modern agriculture increasingly relies on technology to increase efficiency and productivity, so that humans nowadays always need tools that can make their work easier, especially for monitoring soil moisture. in presenting a soil moisture control monitoring system tool, which can be used by the community for efficient gardening. Where the system uses microcontroller technology which has been developed internationally. The creation of this system aims to make gardening easier. From the case studies raised in this research, the lack of efficient soil moisture affects plant growth. A system was created to produce a tool for controlling and monitoring soil moisture conditions in waterfall method plants. The stages of this research include analysis, system design, implementation, testing and maintenance. The implication of this research is the optimization of the gardening process by farmers in maintaining soil moisture by automatically turning on and turning off buttons. This system is based on IoT which is a soil moisture sensor using a soil moisture sensor & I2C LCD as a monitoring tool. It is said that the soil is damp if the water content is 60% -80%, if it is less than this then the water pump will turn on automatically.

Scholarships are a form of assistance in the form of educational expenses provided by the government or foundations to students or students who are categorized as from underprivileged families. However, in datermining scholarship recipients, there are still many scholarship recipients who come from wealthy families, while those from less fortunate families do not receive this assistance. This may be due to calculations and data processing that still use manual methods, causing scholarship recipients to not be on target. The purpose of this research is to simplify and minimize calculation errors in determining scholarship recipients for the Smart Indonesia Program (PIP) at SMK Karya Medika. Therefore, for calculating and processing PIP scholarship recipients data, data mining techniques can use the calssification method using the K-NN algprithm. K-Nearest Neighbor is a data classification method that will be used for data objects based on learning data that is closer to the object. In this study using the Confusion Matrix test so as to obtain an accuracy value of 80.00%.     

Early childhood plays an important role in forming the basis of development, which involves stimulation of various aspects such as moral religious values, social emotional, language, cognitive, and physical motor skills. The concept of early childhood learning is focused on play, where every activity is designed to be play, so that learning becomes more effective. Parents also need to understand today's children's education to interact with children positively. This research focuses on sentiment analysis of children's education-based app reviews on the Google Play Store, using Random Forest and Logistic Regression methods. The review data is taken from three apps with the theme of child development, namely "About Kids", "PrimaKu", and "Teman Bumil", with a range of review years between 2018 and 2023. The test results show that Logistic Regression has higher accuracy compared to Random Forest, especially in the "About Kids" and "PrimaKu" applications with accuracy above 90%. The conclusion of this research highlights the importance of sentiment analysis in improving understanding of user responses to children's education applications, with suggestions for future research to increase the number of datasets and variations in testing schemes by tuning hyperparameters to improve prediction accuracy and more optimal results.

A web-based sales information system is a key element in the success of modern business, especially in the rapidly growing e-commerce era. Developing information systems that are responsive and adaptive to change is a major challenge in meeting dynamic market demands. The problem that occurs is that the web application that is built is not in accordance with the wishes and needs of the user so that applications and transactions are difficult to carry out. This article describes the implementation of the prototype method in developing a web-based sales information system, with a focus on aspects of needs analysis, design, development, implementation, and testing and evaluation. By developing a web-based sales information system with a prototype method, consumers can easily operate the application and make transactions easier because this system can be used anywhere and anytime and its development involves consumers, so this system can really be used well and easily.

Tangerang Regency is a district located in Banten Province, Indonesia. Tangerang Regency is divided into 29 sub-districts, 28 sub-districts and 246 villages. The Tangerang Regency Opendata Portal is a DKAN-based platform, which is a community-based, free and open-source open data platform that provides freedom for organizations and individuals to publish and consume structured information. The Tangerang Regency opendata portal provides datasets that are useful for local communities to find out various types of information such as economic, social, educational, health, population and so on. So that this data can be processed into valuable information, tools are needed to visualize these data so that they can display information about population datasets, these tools include Business Intelligence (BI) software. This research aims to provide a clear picture or visualization of population data for the Tangerang Regency area from 2019 to 2021. This research was conducted using the Microsoft Power BI application with stages of data collection, data entry, data modeling and data visualization. The results of this research are in the form of a dashboard/summary report and detailed reports regarding population data for Tangerang Regency.
 

The lack of awareness from Resto visitors in the process of disposing of garbage in its place makes the environment around the Resto polluted at least the awareness of Resto visitors to dispose of garbage in its place is still low. The purpose of this research is to create an automation system for the trash can. The problem that arises for Resto S2 is the lack of effectiveness, especially in the tissue waste section, one of the solutions that can be done for these problems, namely by designing a device in the form of a smart trash can that can open and close automatically, so that Resto visitors do not need to make direct contact with the trash can. Researchers aim to realize the design of the tool, as for the method carried out in this study is to implement the design of a smart trash can in the form of a box that has an input in the form of an ultrasonic sensor, and an output in the form of a servo motor. The results of input and output testing show that the ultrasonic sensor can detect movement in front of the trash can and the servo motor can move the trash can cover, so it can be concluded that the smart trash can work system as a whole can function properly in accordance with the design that has been made.

This research aims to analyze the use of the cashier application software "Majoo" in the cash receipt information system Mencari Kopi. The object of this research is the use of the cashier application in cash receipts in Mencari Kopi. The subjects in this research were employees, owners of Mencari Kopi and consumers of Mencari Kopi. This research uses primary data used in this research, namely the source comes from the finance department through observations, interviews and documentation carried out on employees or owners of Mencari Kopi and consumers of Mencari Kopi who pay by cash or digital wallet (e-wallet). ). Secondary data used in this research are documents or notes regarding cash receipts and presentation when using the cashier application on Mencari Kopi.   The results of this research. The cash receipt system at Mencari Kopi is run with the help of the “Majoo” cashier application system. The results of the research that has been carried out, in recording cash receipts, payments via cash and non-cash (e-wallet) are equally efficient as long as you still use the "Majoo" cashier application. The results of research conducted and interviews by users of the cashier application and consumers of Mencari Kopi, the recording of cash receipts recorded in Mencari Kopi and those received by consumers of Mencari Kopi are appropriate.

The increasing development of technology and increasing buying and selling activities require every business owner to adapt to technological developments, for business owners selling or processing sales data is very important as is done by PT.XYZ household furniture items such as tables, chairs, dressers, wardrobes, sofas and many more, where sales data is still done manually, such as a lack of reviewing what products consumers need and ineffective data storage. To overcome this problem the researcher tried to implement it using one of the methods available in data mining, namely the K-Means Algorithm. –certain data groups (clusters). So, by grouping this data, the company can find out which items are selling best and which are not selling well. So that the goods in the warehouse do not pile up. From this research, the resulting output is 5 of the best-selling items, and 5 of the least-selling items. With the data processing carried out, it is hoped that it can provide solutions to the company so that they can find out which items are the best-selling and best-selling items.

Currently we cannot escape the influence of information technology. Because like it or not, the development of science and the application of technology is experiencing an increasingly rapid increase, especially in every work environment such as business practitioners.Computer/information technology is the technology that is most widely used in various agencies, both government and private. The rapid development of technology over time means that human work can generally be completed quickly. Technology is a tool that is often used in human activities. The role of technology today makes information processing easier because processing is necessary so that the resulting information can be useful for its users. Competition in the business world requires developers to find a pattern that can increase sales and marketing of goods, one of which is by utilizing transaction data. The availability of abundant data, the need for information to support decision making to create business solutions, and infrastructure support in the field of information technology are the reasons for the birth of data mining technology. Problems that occur at UD. Martua is lacking in reviewing the products being sold, what products consumers need and less effective data storage. With data mining, it is intended to provide real solutions to UD. Martua can find out which items are selling well and which items are not selling well, then can compare sales from year to year to become an effective medium for developing sales at UD.Martua. In grouping sales data, the fields used are item name, quantity purchased, quantity sold for 1 week, then the data will be processed with the k-means clustering algorithm. The final result with 20 grouping data samples was the final result with 2 clusters, namely, cluster 1 (C1) with 10 best-selling items, cluster 2 (C2) with 10 non-selling items. With data mining using the K-Means algorithm, losses for UD.Martua..speeding up decision making to restock goods that are selling well so that consumers who want to buy don't have to wait long. Providing information from sales data to find out what causes profits or losses at UD.Martua. Providing convenience for UD.Martua in determining which products are selling and which are not selling so that there is no accumulation of goods that are not selling and resulting in losses for UD.Martua.

Data security is an important aspect of information systems, especially in the widely used windows operating system environment. Modern encryption technology offers a variety of ways to increase data protection from security threats. This method utilizes literature insights and comparative analysis of various cryptographic techniques applied to the Windows operating system. Data sources were obtained from academic journals, books and technical documents from Microsoft and cyber security institutions. This article describes various modern cryptographic techniques that can be applied to the Windows operating system, including symmetric and asymmetric algorithms and end-to-end encryption. Protocol implementation security. This research also examines the effectiveness of cryptographic techniques in overcoming cyber security threats and provides the best recommendations for improving data security. It also provides a comparative analysis of various cryptographic techniques implemented in Windows operating systems. This study shows that evaluating encryption techniques can help overcome cyber threats and provide optimal solutions to improve data security. Data sources were obtained from academic journals, books, and technical documents from Microsoft and cyber security.