Suryani, Suci and , Umi Fadlillah, ST. MEng (2018) Analisis Perbandingan Metode C4.5, Gini Index, dan Naive Bayes pada Pemasaran Karung PT. Sumber Bengawan Plasindo. Skripsi thesis, Universitas Muhammadiyah Surakarta.
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Abstract
PT. Sumber Bengawan Plasindo or also known as PT SBP is a company which engaged with the production and distribution of plastic sack located in Karanganyar district, Central Java. The sack production of PT SBP is not only distributed domestically, but have reached the overseas markets stretching from Southeast Asia, Europe to South America. Therefore, PT SBP definitely has a lot of transactional data, which is very beneficial if the data are analysed. Thus, the researcher wants to help the company in making the decision to maximize the performance of the company to distribute the products both being interested and un-interested by the costumers by using C4.5 method, Gini Index, and Naive Bayes. The attributes that are used in data mining process consist of marketing attribute, price, LPK display name and PCS/bale. Through data mining process, the daily production amount will be used as strategic source to decide the marketing strategy of the company. Seen from the accuracy, precision and recall methodC4.5 and Gini Index have same percentage and been higher than naïve bayes method that the percentage of the accuracy is 96, 36%, while its precision is 97, 66%, and recall is 92, 59%. Thus can be concluded that C4.5 method and Gini Index is classified as a better method to this study. The variable which influencesto this study is price variable, then the result from C4.5 method, Gini Index, and naïve bayes in which the demanded product by the costumers is the product of motif sack
| Item Type: | Karya ilmiah (Skripsi) |
|---|---|
| Uncontrolled Keywords: | C4.5, gini index, naïve bayes, mining data. |
| Subjects: | T Technology > TN Mining engineering. Metallurgy |
| Divisions: | Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika |
| Depositing User: | SUCI SURYANI |
| Date Deposited: | 31 Jan 2018 08:02 |
| Last Modified: | 31 Jan 2018 08:02 |
| URI: | http://eprints.ums.ac.id/id/eprint/58800 |
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