Skripsi
SISTEM PENENTUAN POSISI OBJEK DIDALAM RUANGAN MENGGUNAKAN ALGORITMA DECISION TREE
This thesis is present determination system object position in the room with parameter Received Signal Strenght Indicator (RSSI). RSS collected fom access point of building D majoring in computer system, Sriwijaya Univesity by comparing training dataset and testing dataset. Decesion Tree is created using a reinforced DT algorithm based on the training data obtained. The experimental result show the percentage of testing accuracy by comparing training data and testing data is 73,84%. The system for determining the object position in the room using the Decision Tree algorithm has an overall level of accuracy that is not too good, but by using a decision tree algorithm, the computational cost can be reduced.
Inventory Code | Barcode | Call Number | Location | Status |
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2107002394 | T40600 | T406002021 | Central Library (Referens) | Available but not for loan - Not for Loan |
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