PT. Tiga Raksa Satria, Tbk is a company engaged in trading in the form of selling products of various brands to shops in Samarinda. the recording process of selling has been done computerized, but the sales data has not been processed optimally. there is no application that analyzes sales data for category, planning and service to consumers. Analyzing sales data is an important part of the company, an analysis of sales results has an impact on the profits to be gained by the company. Datamining is the science of digging up valuable information and knowledge in databases. One algorithm in data mining is a priori algorithm. Datamining is widely implemented in various fields such as business, commerce, and others. This research aims to make an application with the Application of Data Mining Basketball Analysis Method with Apriori Algorithm to process the sales data in a more structured, detailed and know the problems in product sales. This application generates rules that help draw conclusions needed for drawing conclusions of strategic information for companies regarding sales data. Application made with the application of a priori methods helps in the analysis of sales data that is owned.
Scheduling courses is a routine agenda every semester carried out by the study program, in the manufacturing process it often experiences difficulties such as frequent clashes between courses, lecturers and other times in one period of the lecture schedule. The graph coloring method used is a simple row coloring algorithm on the side. This algorithm can be used in scheduling so that there is no overlap between courses, lecturers, room and time. The system design tool used is a flowchart. The results of this study are in the form of applications that are made automatically without any conflicting schedules. Users can enter the initial scheduling data according to their needs, then the application will follow scheduling using a simple line coloring algorithm on the side, and the output results will display the scheduling results. testing using black box, this test will test in detail the plus button and process button, the expected result is a success
This research was developed with a multimedia development stage consisting of 6 stages, namely Concept, Design, Material Collecting, Assembly, Testing and Distribution. Analysis of system design using UML (Unified Modeling Language) which consists of Use Case Diagrams, Activity Diagrams and Sequence Diagrams. In the development of this 3D game using the Unity Engine as software designed for the creation and development of video games assisted by typing some coding programs. The test method uses Black-Box testing and Beta Testing. Testing and Distribution (Distribution). Analysis of system design using UML (Unified Modeling Language) which consists of Use Case Diagrams, Activity Diagrams and Sequence Diagrams. In developing this 3D game using the Unity Engine as software designed for the creation and development of video games assisted by typing some coding programs. The test method uses Black-Box testing and Beta Testing. Testing and Distribution . Analysis of system design using UML (Unified Modeling Language) which consists of Use Case Diagrams, Activity Diagrams and Sequence Diagrams. In developing this 3D game using the Unity Engine as software designed for the creation and development of video games assisted by typing some coding programs. The test method uses Black-Box testing and Beta Testing. The final results of this study can be applied with the help of typing coding so that the path points that have been created can provide information about adjacent paths so that they can find an exit path.
been done computerized, but the sales data has not been processed optimally. there is no application that analyzes sales data for category, planning and service to consumers. Analyzing sales data is an important part of the company, an analysis of sales results has an impact on the profits to be gained by the company. Datamining is the science of digging up valuable information and knowledge in databases. One algorithm in data mining is a priori algorithm. Datamining is widely implemented in various fields such as business, commerce, and others. This research aims to make an application with the Application of Data Mining Basketball Analysis Method with Apriori Algorithm to process the sales data in a more structured, detailed and know the problems in product sales. This application generates rules that help draw conclusions needed for drawing conclusions of strategic information for companies regarding sales data. Application made with the application of a priori methods helps in the analysis of sales data that is owned.
Tujuan dari penelitian ini adalah untuk menghasilkan Sistem Pendukung Keputusan Menentukan Pemilihan Pegawai Berprestasi Dengan Metode Simple Multi Attribute Rating Technique (Smart) pada Puskesmas Separi III Tenggarong Seberang dengan harapan dapat membantu dalam pemilihan Pegawai Berprestasi. Dengan menggunakan bahasa pemrograman Visual Basic 6.0 dan databasenya menggunakan Microsoft Access. Dalam penelitian ini, teknik pengumpulan data yang digunakan adalah studi pustaka, studi lapangan, observasi dan wawancara.Sistem Pendukung Keputusan Menentukan Pemilihan Pegawai Berprestasi, merupakan sistem yang dibuat untuk membantu dalam pengambilan keputusan dalam Menentukan Pemilihan Pegawai Berprestasi pada Puskesmas Separi III Tenggarong Seberang dengan menggunakan bantuan Metode Metode Simple Multi Attribute Rating Technique (Smart).Hasil dari penelitian ini adalah dibuatnya sistem pendukung keputusan untuk Menentukan Pemilihan Pegawai Berprestasi berdasarkan hasil penilaian Pegawai. Pengguna dapat menginputkan data Pegawai, data penilaian Pegawai disetiap kriteria, kemudian sistem akan mencari solusi dengan Metode Simple Multi Attribute Rating Technique. Setelah keputusan didapatkan, maka sistem akan menampilkan keputusan tersebut.
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