Our system is currently under heavy load due to increased usage. We're actively working on upgrades to improve performance. Thank you for your patience.
2020
DOI: 10.35315/informatika.v11i2.8156
|View full text |Cite
|
Sign up to set email alerts
|

Sistem Pakar Diagnosa Hama Penyakit Tanaman Talasbentul Dengan Metode Dempster-Sahfer

Abstract: Metode Dempster-Shafer merupakan metode penalaran non monotonis yang digunakan untuk mencari ketidakkonsistenan akibat adanya penambahan maupun pengurangan fakta baru yang akan merubah aturan yang ada, sehingga metode Dempster-Shafer memungkinkan seseorang aman dalam melakukan pekerjaan seorang pakar. Dalam penerapannya Metode Dempster-Shafer ini menghitung besarnya kemungkinan suatu penyakit yang menyerang tanaman talas bentul berdasarkan nilai probabilitas densitas yang dimiliki setiap gejala yang mana nilai… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…With this expert system, the general public can consult with the system such as consulting a psychologist (Kanggeraldo, Sari, and Zul 2018). This expert system can also be used as a companion tool from experts (Kurniadi, Mulyani, and Rahayu 2021) and not to substitute the expert (Istiyawan and Wibisono 2020). Several studies have proven that expert systems with forward chaining algorithms are capable for diagnose lung disease (Anon 2016), stomach disease (Indah and Dewi 2019) and rubber plant disease (Rofiqoh, Kurniadi, and Riansyah 2020).…”
Section: Introductionmentioning
confidence: 99%
“…With this expert system, the general public can consult with the system such as consulting a psychologist (Kanggeraldo, Sari, and Zul 2018). This expert system can also be used as a companion tool from experts (Kurniadi, Mulyani, and Rahayu 2021) and not to substitute the expert (Istiyawan and Wibisono 2020). Several studies have proven that expert systems with forward chaining algorithms are capable for diagnose lung disease (Anon 2016), stomach disease (Indah and Dewi 2019) and rubber plant disease (Rofiqoh, Kurniadi, and Riansyah 2020).…”
Section: Introductionmentioning
confidence: 99%