Luqman Imam, . (2022) SISTEM PAKAR UNTUK MENDIAGNOSIS HAMA PENYAKIT TANAMAN SEMANGKA MENGGUNAKAN METODE CERTAINTY FACTOR DAN METODE BAYES. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
ABSTRAK.pdf Download (221kB) |
|
Text
AWAL.pdf Download (2MB) |
|
Text
BAB 1.pdf Download (269kB) |
|
Text
BAB 2.pdf Restricted to Repository UPNVJ Only Download (512kB) |
|
Text
BAB 3.pdf Restricted to Repository UPNVJ Only Download (490kB) |
|
Text
BAB 4.pdf Restricted to Repository UPNVJ Only Download (2MB) |
|
Text
BAB 5.pdf Download (256kB) |
|
Text
DAFTAR PUSTAKA.pdf Download (221kB) |
|
Text
RIWAYAT HIDUP.pdf Restricted to Repository UPNVJ Only Download (264kB) |
|
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (1MB) |
|
Text
HASIL PLAGIARISME.pdf Restricted to Repository staff only Download (1MB) |
|
Text
ARTIKEL KI.pdf Restricted to Repository staff only Download (1MB) |
Abstract
Watermelon is one of the most popular fruits by the general public. Apart from the benefits of watermelon, watermelon also has several diseases that are difficult for farmers to know, such as fruit rot (anthracnose), fruit scabies (bacterial fruit blotch), and others. Although watermelon disease is common, there are still many farmers who do not know about this problem. Therefore, an expert system for watermelon disease detection can be used using the certainty factor algorithm and the Bayes method. Based on the problems that occurred, this study raised the title "Expert System for Diagnosing Pests and Diseases of Watermelon Plants using the Certainty Factor Method and the Bayes Method" to overcome the ignorance of farmers in detecting watermelon disease by entering various characteristics listed in the system based on plant events, the system will provide insight based on existing characteristics using a certainty factor algorithm which will then compare the results with the Bayes method. This research is expected to be able to provide definite knowledge regarding watermelon diseases through an expert system, besides that this research is also expected to be able to implement the Certainty Factor method and the Bayes method in an expert system in diagnosing pests and diseases on watermelon plants.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1610511035] [Pembimbing 1: Henki Bayu Seta] [Pembimbing 2: Ria Astriratma] [Penguji 1: Jayanta] [Penguji 2: Mayanda Mega Santoni] |
| Uncontrolled Keywords: | Certainty Factor, Metode Bayes, Expert System, Watermelon Plant |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software Q Science > QK Botany |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Luqman Imam |
| Date Deposited: | 10 Mar 2022 02:38 |
| Last Modified: | 10 Mar 2022 02:38 |
| URI: | http://repository.upnvj.ac.id/id/eprint/15575 |
Actions (login required)
 |
View Item |