Mei Jayanti, Badriyah and , Nurgiyatna, ST., MSc., PhD (2017) Perbandingan Analisis Faktor Penyalahgunaan Narkoba Menggunakan Metode Naïve Bayes dan Decision Tree. Diploma thesis, Universitas Muhammadiyah Surakarta.
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Abstract
Narcotics are addictive substances commonly used in the field of health. However, the abuse of narcotics and drugs is increasing. The rise of behavioral deviation by the younger generation can ruin the future and the ongoing life becomes disrupted in the future. In connection with the occurrence of these problems is done data mining techniques to find the factors that affect the long use of someone taking drugs and can be attempted to counsel on the most influential factors. The selected method is Naive Bayes and Decision Tree Gini Index algorithm. The results of the study showed naive bayes predictions of 65% accuracy, precision 65.66%, recall 98.48%. The result of this index has accuracy value of 60%, precision 65,60%, recall 82,83%. After seeing the results concluded naive bayes more accurately used in this study because the value of accuracy is greater than the decision tree algorithm index gini. From the decision tree results obtained the most influential variables in this study that is environmental factors.
| Item Type: | Karya ilmiah (Diploma) |
|---|---|
| Uncontrolled Keywords: | Narkoba, Data Mining, Naive Bayes, Index Gini |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika |
| Depositing User: | BADRIYAH MEI JAYANTI |
| Date Deposited: | 14 Aug 2017 09:07 |
| Last Modified: | 14 Aug 2017 09:08 |
| URI: | http://eprints.ums.ac.id/id/eprint/55479 |
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