Algorithm C4.5 is a decision tree classification algorithm that is widely used because it has the main advantages of other algorithms. The advantages of the C4.5 algorithm can produce decision trees that are easy to interpret, have an acceptable level of accuracy, are efficient at handling discrete-type attributes and can handle discrete and numeric attributes.
In constructing a tree, the C4.5 algorithm reads the entire training data sample from storage and loads it into memory. This is one of the weaknesses of C4.5 algorithm in the category of "scalability" is that this algorithm can only be used if the training data can be stored as a whole and at the same time in memory.
Interface View
In constructing a tree, the C4.5 algorithm reads the entire training data sample from storage and loads it into memory. This is one of the weaknesses of C4.5 algorithm in the category of "scalability" is that this algorithm can only be used if the training data can be stored as a whole and at the same time in memory.
Interface View
Dashboard View
Distributor Data View
Display Sales Data
Display Data Analysis
Supporting Theories
- Information System
- Software Development Life Cycle (SDLC)
- Desain Database
- Unified Modelling Language (UML)
- Framework Aplikasi Web
- Codeigniter
- PHP (Perl Hypertext Preprocessor)
- MYSQL
- HTML (Hypertext Markup Language)
- Cascading Style Sheets (CSS)
- Black Box Testing
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