Booking is an activity carried out by certain parties to ensure availability, in carrying out certain activities the company has a supply of material in quantities that exceed the needs. As a result, in the warehouse there is a buildup of raw materials or it can happen otherwise. Inventories of materials that are too small can hinder the company's operations in the form of unavailability of materials when needed. The role of inventory will determine the operation of the company because the inventory will run well if supported by good management. Therefore, the concept of inventory management that affects ordering is very important to be applied by companies so that the goals of effectiveness and efficiency are achieved. So we need a Data Mining that can quickly to determine the Determination of Food Raw Material Ordering Patterns in Restaurant Fountain Using Apriori. Data Mining is the extraction of new information taken from large chunks of data that helps in making decisions. One of the applications of data mining for Determining the Pattern of Ordering Food Raw Materials in Restaurant Fountain Using Apriori. Apriori method is a method for determining frequent itemsets for boolean association rules. The research aims to build the application of Determining the Pattern of Ordering Food Raw Materials in Restaurant Fountain with a web-based application and as a tool for designing applications using the Mysql Database. This data mining is able to determine the ordering of food items in the Restaurant Fountain with the required amount.

Students at almost all levels of education are required to be technology literate, especially information technology. In addition to supporting educational activities, it also supports students in solving administrative problems. One of the software that can be used to support education and administrative issues is Microsoft Office. The application has many features that are still not familiar to some users, especially students. This was experienced by STT Baptist Medan who was not familiar with the many tools provided in Microsoft Word, Microsoft Excel, and Microsoft PowerPoint software. Some of the obstacles that are often encountered are the less than optimal use of the merge function in Word, the function of conditional formulas in Excel and animation, and multimedia in PowerPoint. During the implementation of service activities, it was concluded that the importance of direct Microsoft office training to students, especially study programs outside of computers. In the implementation of the training, students are able to use Microsoft Excel to manage numerical data. Microsoft word in managing data. Also the use of Microsoft PowerPoint in making presentations.

Distribution is an important thing in business activities, especially for distribution companies or distributors. Delays in distribution will reduce customer service levels. The method used is WP (Weighted Product), because Weighted product is one of the right choice of method to solve complex problems and Weighted Product can produce structured calculations on problems that have sub-sub-criteria for the decision to be built. from this research is to determine the best egg distribution location in the pumpkin beach district using the Weighted Product (WP) method. The Weighted Product (WP) method is a multi-criteria analysis decision and is a multi-criteria decision-making method. WP is a set of alternative decisions described in terms of several criteria. In the WP method there is no need for matrix manipulation because this method multiplies the assessment results of each attribute. The results of the research are based on the results of the ranking using the Weighted Product (WP) method to determine the best distribution location in the pumpkin beach district, so the greatest value is Grosir 2 with a value of 0.2309 which can be chosen to be the best distribution location. weights so that they can be used with that method.

Big data technology is the overall technology that can handle the processing associated with analyzing the data to explore the potential that is in it. Some of the uses of big data are based on the biggest data traffic sources, such as social media, financial transactions, public data, censorship data, and company data. The problem found in the accumulation of village status data that has not been utilized in the decision-making process to determine the status of the next village and the absence of an application to process the data stored in the data database so that a tool is developed to analyze the buildup. The results of this study are to produce a prototype design that is Unified Modeling Language (UML) design, Form Design, and Database Design that will be used to develop Big Data Technology in determining the classification of village status based on the Village Build index.

At this time many people have started selling online. Even though only with makeshift items to make online sales, not a few people have succeeded in making these online sales. The TOPSIS method is one of the multicriteria decision-making methods, this method is one that is widely used to complete practical decision making. The more factors that must be considered in the decision making process, the more difficult it will be to make a decision on an issue. identification of research problems is the application of the DSS in determining the level of risk of online sales. This system was built using the PHP programming language with data management using the MySQL database. Rank results 1. Furniture = 0.8062 2.Electronics = 0.5810 3. Fashion = 0.1230