The Empirical Study On Algorithm Optimization In Expert Systems For Diagnosing Rice Plant Diseases
Rice is one of the most important cultivated plants for human survival. The activity of cultivating rice plants becomes a livelihood for most of these residents, so the success rate of the amount of rice harvested becomes very important because they depend on how much rice can be harvested, disease...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Nusantara PGRI Kediri
2024-02-01
|
| Series: | Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi |
| Subjects: | |
| Online Access: | https://ojs.unpkediri.ac.id/index.php/intensif/article/view/20493 |
| _version_ | 1797337281249411072 |
|---|---|
| author | Ahmad Habib Muhamat Sunan Roenardi Koesdijarto Sajiyo Sajiyo Elsen Ronando |
| author_facet | Ahmad Habib Muhamat Sunan Roenardi Koesdijarto Sajiyo Sajiyo Elsen Ronando |
| author_sort | Ahmad Habib |
| collection | DOAJ |
| description |
Rice is one of the most important cultivated plants for human survival. The activity of cultivating rice plants becomes a livelihood for most of these residents, so the success rate of the amount of rice harvested becomes very important because they depend on how much rice can be harvested, disease diagnosis is very important for farmers, this is very important to reduce economic losses due to diseases that cause crop failure. Therefore, when dealing with rice diseases, an expert is needed to make diagnoses or solutions to rice diseases. However, an expert does not know when to come to the village, and farmers also do not understand all rice diseases. Therefore, a web-based expert system application using the forward chaining method is proposed to represent an expert to help farmers diagnose and solve diseases of rice plants with existing symptoms.
|
| first_indexed | 2024-03-08T09:07:15Z |
| format | Article |
| id | doaj.art-4c986b80eaba4338b9dbc1dbc9307da5 |
| institution | Directory Open Access Journal |
| issn | 2580-409X 2549-6824 |
| language | English |
| last_indexed | 2024-03-08T09:07:15Z |
| publishDate | 2024-02-01 |
| publisher | Universitas Nusantara PGRI Kediri |
| record_format | Article |
| series | Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi |
| spelling | doaj.art-4c986b80eaba4338b9dbc1dbc9307da52024-02-01T02:43:49ZengUniversitas Nusantara PGRI KediriIntensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi2580-409X2549-68242024-02-018110.29407/intensif.v8i1.20493The Empirical Study On Algorithm Optimization In Expert Systems For Diagnosing Rice Plant DiseasesAhmad Habib0Muhamat Sunan1Roenardi Koesdijarto2Sajiyo Sajiyo3Elsen Ronando4Universitas 17 Agustus 1945 SurabayaUniversitas 17 Agustus SurabayaUniversitas 17 Agustus 1945 SurabayaUniversitas 17 Agustus 1945 SurabayaKyushu Institute of Technology Japan Rice is one of the most important cultivated plants for human survival. The activity of cultivating rice plants becomes a livelihood for most of these residents, so the success rate of the amount of rice harvested becomes very important because they depend on how much rice can be harvested, disease diagnosis is very important for farmers, this is very important to reduce economic losses due to diseases that cause crop failure. Therefore, when dealing with rice diseases, an expert is needed to make diagnoses or solutions to rice diseases. However, an expert does not know when to come to the village, and farmers also do not understand all rice diseases. Therefore, a web-based expert system application using the forward chaining method is proposed to represent an expert to help farmers diagnose and solve diseases of rice plants with existing symptoms. https://ojs.unpkediri.ac.id/index.php/intensif/article/view/20493Expert SystemForward ChainingDiagnosesRice DiseasesWeb-Based |
| spellingShingle | Ahmad Habib Muhamat Sunan Roenardi Koesdijarto Sajiyo Sajiyo Elsen Ronando The Empirical Study On Algorithm Optimization In Expert Systems For Diagnosing Rice Plant Diseases Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi Expert System Forward Chaining Diagnoses Rice Diseases Web-Based |
| title | The Empirical Study On Algorithm Optimization In Expert Systems For Diagnosing Rice Plant Diseases |
| title_full | The Empirical Study On Algorithm Optimization In Expert Systems For Diagnosing Rice Plant Diseases |
| title_fullStr | The Empirical Study On Algorithm Optimization In Expert Systems For Diagnosing Rice Plant Diseases |
| title_full_unstemmed | The Empirical Study On Algorithm Optimization In Expert Systems For Diagnosing Rice Plant Diseases |
| title_short | The Empirical Study On Algorithm Optimization In Expert Systems For Diagnosing Rice Plant Diseases |
| title_sort | empirical study on algorithm optimization in expert systems for diagnosing rice plant diseases |
| topic | Expert System Forward Chaining Diagnoses Rice Diseases Web-Based |
| url | https://ojs.unpkediri.ac.id/index.php/intensif/article/view/20493 |
| work_keys_str_mv | AT ahmadhabib theempiricalstudyonalgorithmoptimizationinexpertsystemsfordiagnosingriceplantdiseases AT muhamatsunan theempiricalstudyonalgorithmoptimizationinexpertsystemsfordiagnosingriceplantdiseases AT roenardikoesdijarto theempiricalstudyonalgorithmoptimizationinexpertsystemsfordiagnosingriceplantdiseases AT sajiyosajiyo theempiricalstudyonalgorithmoptimizationinexpertsystemsfordiagnosingriceplantdiseases AT elsenronando theempiricalstudyonalgorithmoptimizationinexpertsystemsfordiagnosingriceplantdiseases AT ahmadhabib empiricalstudyonalgorithmoptimizationinexpertsystemsfordiagnosingriceplantdiseases AT muhamatsunan empiricalstudyonalgorithmoptimizationinexpertsystemsfordiagnosingriceplantdiseases AT roenardikoesdijarto empiricalstudyonalgorithmoptimizationinexpertsystemsfordiagnosingriceplantdiseases AT sajiyosajiyo empiricalstudyonalgorithmoptimizationinexpertsystemsfordiagnosingriceplantdiseases AT elsenronando empiricalstudyonalgorithmoptimizationinexpertsystemsfordiagnosingriceplantdiseases |