Nur Fatimah, Dwi Anugrah (2022) Klasifikasi Data Mining Untuk Menentukan Bibit Unggul Pada Tanaman Akasia Menggunakan Metode NaÏve Bayes (Studi Kasus: PT. Arara Abadi). Other thesis, Universitas Islam Riau.
![[img]](http://repository.uir.ac.id/style/images/fileicons/text.png) |
Text
173510723.pdf - Submitted Version Download (3MB) |
Abstract
Acacia is one of the plants that can be used as the main material for making paper. The limited amount of acacia in nature makes the paper industry must strive to keep acacia available when it will be used by way of cultivation. The quality of crop yields cannot be separated from the seed or seed factor. But unfortunately, it is precisely the factor of preparing quality seeds by using superior seeds and good cultivation so far has not received attention. Therefore, the author is very inspired to build a system that can make it easier for users to find superior seeds on acacia plants. With the title "Classification of Data Mining to Determine Superior Seeds in Acacia Plants Using the Naïve Bayes Method". The purpose of this study was to determine the quality of seedlings on acacia growth that was ready to be planted in the field.
| Item Type: | Thesis (Other) | ||||||
|---|---|---|---|---|---|---|---|
| Contributors: |
|
||||||
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Computer software |
||||||
| Divisions: | > Teknik Informatika | ||||||
| Depositing User: | Hidayat Romi UNILAK | ||||||
| Date Deposited: | 05 Sep 2022 09:05 | ||||||
| Last Modified: | 05 Sep 2022 09:05 | ||||||
| URI: | http://repository.uir.ac.id/id/eprint/14804 |
Actions (login required)
 |
View Item |
