p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal TEPIAN
Veronika
Software Engineering Technology, Agriculture Polytechnic of Samarinda

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Expert System for Diagnosis Papaya Plant Disease with Backward Chaining and Dempster Shafer Veronika; Suci Ramadhani; Ida Maratul Khamidah
TEPIAN Vol 3 No 2 (2022): June 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1032.739 KB) | DOI: 10.51967/tepian.v3i2.767

Abstract

Papaya plant (Carica papaya L.) it is one of leading commodities in East Kalimantan. Papaya is widely cultivated in Samarinda, Balikpapan, and Samboja. However, farmers are often faced with the problem of papaya plant diseases that can damage and inhibit the growth of papaya plants and fruit. To solve this problem, an expert system was created to diagnose diseases in papaya plants. This expert system was created using two methods, namely Backward Chaining Reasoning and to determine the level of certainty in the diagnosis of papaya plant diseases, the Dempster Shafer method was used. The excepted result of making this expert system is to build an expert system application that can diagnose web-based diseases in papaya plants so that it can make it easier for farmers to consult and get the right solution to overcome various disease problems that attack papaya plants.
Expert System for Diagnosis Papaya Plant Disease with Backward Chaining and Dempster Shafer Veronika; Suci Ramadhani; Ida Maratul Khamidah
TEPIAN Vol. 3 No. 2 (2022): June 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v3i2.767

Abstract

Papaya plant (Carica papaya L.) it is one of leading commodities in East Kalimantan. Papaya is widely cultivated in Samarinda, Balikpapan, and Samboja. However, farmers are often faced with the problem of papaya plant diseases that can damage and inhibit the growth of papaya plants and fruit. To solve this problem, an expert system was created to diagnose diseases in papaya plants. This expert system was created using two methods, namely Backward Chaining Reasoning and to determine the level of certainty in the diagnosis of papaya plant diseases, the Dempster Shafer method was used. The excepted result of making this expert system is to build an expert system application that can diagnose web-based diseases in papaya plants so that it can make it easier for farmers to consult and get the right solution to overcome various disease problems that attack papaya plants.