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Submitted
October 6, 2021
Accepted
April 12, 2022
Published
June 1, 2022
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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.

Keywords

Expert System, Diagnosis Papaya Plant Disease, Backward Chaining, Dempster Shafer.

Article Details

How to Cite
Veronika, Ramadhani, S. ., & Khamidah, I. M. . (2022). Expert System for Diagnosis Papaya Plant Disease with Backward Chaining and Dempster Shafer . TEPIAN, 3(2), 92–100. https://doi.org/10.51967/tepian.v3i2.767
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References

  1. Budiharto, W., dan Suhartono, D., 2014, Artificial Intelligence Konsep dan Penerapannya, Andi Offset, Yogyakarta.
  2. Burhannudin, M., Suprapto, & Hidayat, N. 2017. Pemodelan Sistem Pakar Diagnosis Penyakit Tanaman Apel Manalagi Dengan Metode Backward Chaining Menggunakan Certainty Factor. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 1(5), 399–404. bhan025@gmail.com, spttif@ub.ac.id, ntayadih@ub.ac.id
  3. Gendroyono, H., & Prasetyani, E. D. 2017. Surveillance OPT Pepaya di Kalimantan Timur. Samarinda, Kalimantan Timur, Indonesia: UPTD Proteksi Tanaman Pangan dan Hortikultura.
  4. Hamzah, A. 2014. 9 Jurus sukses Bertanam Pepaya California (Cetakan Pertama ed.). Jakarta Selatan: PT AgroMedia Pustaka.
  5. Ihsan, M., Agus, F., & Khairina, D. M. 2017. Penerapan Metode Dempster Shafer Untuk Sistem Deteksi Penyakit Tanaman Padi. Prosiding Seminar Ilmu Komputer Dan Teknologi Informasi, 2(1), 128–135.
  6. Jogiyanto, HM. 2011. Sistem Teknologi Informasi, Edisi III. Yogyakarta : Andi Offset
  7. Novi Amalia, Fauziah, D. H. 2019. Sistem Pakar Diagnosa Penyakit Semangka Dengan Metode Dempster Shafer Berbasis Web. 4(December).
  8. Orthega, S., Hidayat, N., & Santoso, E. 2017. Implementasi Metode Dempster-Shafer untuk Mendiagnosa Penyakit Tanaman Padi. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 1(10), 1240–1247.
  9. Putri, D. A., & Aranta, A. 2020. Sistem Pakar Diagnosis Penyakit Tanaman Padi Menggunakan Forward Chaining dan Dempster Shafer. Jurnal Teknologi Informasi, Komputer, Dan Aplikasinya (JTIKA ), 2(2), 248–257. https://doi.org/10.29303/jtika.v2i2.113
  10. Pratiwi, Eka, A., N., & Kunci, K. 2018. Chaining ( Studi Kasus : Petani Cabai Merah Desa Grobongan Kabupaten Madiun ). 3(1), 1–10.
  11. Rosa. A., Sukamto, & Shalahuddin, M. 2016. Rekayasa Perangkat Lunak (Terstruktur dan berbasis objek). In Sdlc.