The XYZ cooperation is a business entity dealing with savings and loans, building rental, convection, rice procurement and shops that are very concerned about the welfare of its members. The appraisal process for loan approval decision in the XYZ cooperative was still lack of assessment. It was based on the value of the members’ report cards which covers collateral, wealth, and behavior so that the funds were not often on the target. Moreover, the cooperative members were often careless in repayment process. The method in this research was Exponential Comparison Method. This method determined the priority order of alternative decisions with criteria. Those criteria in this research were: Report cards, BI Checking, Application Purpose, source of income, monthly income, installment period, completeness of files, guarantees, status, and the amount requested. As a result of applying this system and adding some new criteria, cooperation considers loan approval assessments in determining the eligible members. The results of functional testing by black-box method showed that the system ran as expected and the functions of the application ran properly.

In an attempt to achieve the well-being of Indonesia, one of the Government's

Decision Support System is a branch of artificial intelligence used to help make decisions in semi-structured cases, where it is not known exactly how decisions should be made. In this research, the design and making of decision support system that is used to help determine the nutritional status of children with weight input, age, height, head circumference, nutrition value of toddlers and the output of nutritional status of children under five and their handling. The problem of data uncertainty in decision support system is solved by using fuzzy mamdani method. The existence of data uncertainty in the process can occur because of the differences in existing calculations on the system. The process of determining the nutritional status of this decision support system is begun by entering the input data of toddlers, where the system will display some variables that have been made then start the calculation with the application. The end result of this research is decision support system to do nutritional handling in toddler along with their nutrition result. The calculations show the level of confidence in the system of nutritional status of the toddler and from the results of this study obtained the system accuracy of 83.33% of the 18 test data that has been tested is obtained. Therefore, it can be concluded that decision support system produces a good examination.  Keywords: Decision Support System, Fuzzy Mamdani, Underfive Nutrition

As more businesses emerge, companies need to have the right marketing strategy to provide the best service to customers. The first step is to know the type of customer and make appropriate marketing strategies according to the type of customer. In this research, it is proposed for clustering customers so that an appropriate strategy for that customer group can be determined. The method used for cluster formation uses Agglomerative Hierarchical Clustering with Average Linkage approach and distance determination using Manhattan Distance. The variables in this research are Recency, Frequency, and Monetary (RFM). The results of testing using the Silhouette coefficient show that the results of 7 clusters are the best results when compared with 2 clusters up to 20 clusters because they have the smallest minus value. Based on the results of the Silhoutte coefficient, customer segmentation uses 7 clusters with each cluster representing the existing customer type.

The development of technology and information from day to day is always experiencing significant developments, with the technology aimed at facilitating and facilitating human activities in life. In this case the design of the application of the Binary Search Algorithm for the processing of Pharmacy Isna Farma data is made. The application program aims to facilitate the processing of drug data in pharmacies, so that the available supply can be controlled by the owner. In the search program using the keyword drug words or can with the drug code. The purpose of this research is to create a drug data search application system that is applied with a data search tool and change the system in the pharmacy from manual to computing. In research applying the Binary Search Algorithm, the Binary Search Algorithm is a technique with sorted data. In this thesis research using the Binary Search algorithm method with stages of analysis, system design, coding / construction, testing, and implementation. At the analysis stage, data collection is carried out, namely observation and literature study. At the system design stage using Unified Modeling Language (UML) including use case diagrams, activity diagrams, sequence diagrams, and class diagrams. At the construction stage using the Java programming language Using the Netbeans application as a place for coding applications to become a system that is needed and the MySQL server as a database processor in the application. While the implementation of this system is an item data search application. The results of this study are a pharmacy Isna Farma, Drug data search by the Binary Search method with a total of 200 drug data, the average search time using the binary search method is 0.0030 second.The development of technology and information from day to day is always experiencing significant developments, with the technology aimed at facilitating and facilitating human activities in life. In this case the design of the application of the Binary Search Algorithm for the processing of Pharmacy Isna Farma data is made. The application program aims to facilitate the processing of drug data in pharmacies, so that the available supply can be controlled by the owner. In the search program using the keyword drug words or can with the drug code. The purpose of this research is to create a drug data search application system that is applied with a data search tool and change the system in the pharmacy from manual to computing. In research applying the Binary Search Algorithm, the Binary Search Algorithm is a technique with sorted data. In this thesis research using the Binary Search algorithm method with stages of analysis, system design, coding / construction, testing, and implementation. At the analysis stage, data collection is carried out, namely observation and literature study. At the system design stage using Unified Modeling Language (UML) including use case diagrams, activity diagrams, sequence diagrams, and class diagrams. At the construction stage using the Java programming language Using the Netbeans application as a place for coding applications to become a system that is needed and the MySQL server as a database processor in the application. While the implementation of this system is an item data search application. The results of this study are a pharmacy Isna Farma, Drug data search by the Binary Search method with a total of 200 drug data, the average search time using the binary search method is 0.0030 second.