Penerapan Metode Hybrid Case Based dalam Diagnosis Penyakit pada Tanaman Karet

 Lucky Suriyah Ningsih (Universitas Labuhanbatu, Rantauprapat, Indonesia)
 (*)Sahat Parulian Sitorus Mail (Universitas Labuhanbatu, Rantauprapat, Indonesia)
 Rahmadani Pane (Universitas Labuhanbatu, Rantauprapat, Indonesia)

(*) Corresponding Author

Submitted: July 16, 2023; Published: July 31, 2023

Abstract

Rubber cultivation utilizing Hevea brasiliensis as the primary source of raw material has established itself as a profitable commercial crop. However, diseases can damage rubber plants and hinder their growth and latex production. To mitigate the resulting losses, it is crucial to develop an efficient expert system for identifying infections in rubber plants. An expert system is a computer program designed to simulate human intelligence in problem-solving and analysis within a specific domain. In this scenario, diseases in rubber plants are identified using an expert system. The Hybrid Case-Based technique, which combines the benefits of Case-Based Reasoning (CBR) method with other methodologies, has proven to be a successful strategy for constructing expert systems. In the Hybrid Case-Based approach, CBR is integrated with other approaches such as Rule-Based Reasoning (RBR). The Hybrid Case-Based technique utilizes information from the existing case base, as well as recognized rules and models, in the context of disease detection in rubber plants. This enables the expert system to diagnose with high accuracy and provide appropriate solutions. The advantages of the Hybrid Case-Based method include its ability to handle complex situations and find optimal solutions. By integrating various approaches, this method overcomes the weaknesses of each individual method. Furthermore, the Hybrid Case-Based approach allows for an overall improvement in the performance of the expert system, resulting in better outcomes in diagnosing diseases in rubber plants. The objective of this research is to utilize the hybrid case-based approach to create an expert system for identifying diseases in rubber plants. It is expected that this research will yield a useful expert system in identifying diseases in rubber plants, which will support farmers in addressing rubber plant health issues. The significance of this research stems from the importance of preserving rubber resources and creating a sustainable rubber economy. When a readily available expert system is capable of accurately identifying infections in rubber plants, farmers can swiftly take necessary steps to halt disease spread and reduce production losses. Additionally, this research can serve as a foundation for developing expert systems in the field of agriculture and other plant diseases. The results of this research indicate that the Hybrid Case-Based method is capable of diagnosing diseases in rubber plants, revealing a low likelihood of White Root Rot disease in the rubber plants with a percentage value of 76%.

Keywords


Rubber Plants; Hybrid Case-Based Method; Expert System

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References

H. A. Dalimunthe, P. H. Prihanto, and E. Achmad, “Analisis faktor-faktor yang mempengaruhi produksi karet di Kecamatan Jaluko Kabupaten Muaro Jambi (studi kasus Desa Muhajirin),” e-Jurnal Ekon. Sumberd. dan Lingkung., vol. 10, no. 2, pp. 81–90, 2021.

G. ZHAFIRA, “ANALISIS FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP PRODUKSI GETAH KARET DI AREAL HUTAN KEMASYARAKATAN (HKm) MANGGA MULYO KABUPATEN WAY KANAN,” 2019.

R. Ambarwati, “Respon ekspor karet alam Indonesia.” Fakultas Sains dan Teknologi Universitas Islam Negeri Syarif Hidayatullah …, 2019.

H. Hendrawan, A. Haris, E. Rasywir, and Y. Pratama, “Diagnosis Penyakit Tanaman Karet dengan Metode Fuzzy Mamdani,” J. Parad. UBSI, vol. 22, no. 2, pp. 132–138, 2020.

D. Darmawan, V. Genua, S. Kristianto, and J. I. B. Hutubessy, Tanaman perkebunan prospektif Indonesia. Penerbit Qiara Media, 2021.

J. Junaidi, “Transformasi Sistem Pemanenan Latex Tanaman Karet,” J. Budid. Pertan., vol. 16, no. 1, pp. 1–10, 2020.

A. Fadil, “Proses Pengolahan Thin Brown Crepe Di Perusahaan Daerah Perkebunan Kahyangan Kebun Sumberwadung Silo-Jember,” 2022.

E. B. R. Tarigan, “Analisis Efisiensi Pemasaran Bahan Olahan Karet Rakyat (Bokar) di Desa Sungai Geringging, Kecamatan Kampar Kiri, Kabupaten Kampar.” Universitas Islam Riau, 2018.

B. H. Hayadi, Sistem pakar. Deepublish, 2018.

H. Sastypratiwi and R. D. Nyoto, “Analisis Data Artikel Sistem Pakar Menggunakan Metode Systematic Review,” JEPIN (Jurnal Edukasi dan Penelit. Inform., vol. 6, no. 2, pp. 250–257, 2020.

P. S. Ramadhan, M. Kom, U. F. S. Pane, and M. Kom, Mengenal Metode Sistem Pakar. Uwais Inspirasi Indonesia, 2018.

A. H. Nasyuha, Y. Syahra, M. I. Perangin-Angin, D. R. Habibie, and A. A. Subagyo, “Sistem Pakar Dalam Mendiagnosis Penyakit Leishmaniasis Menerapkan Metode Case-Based Reasoning (CBR),” J. MEDIA Inform. BUDIDARMA, vol. 7, no. 2, pp. 747–755, 2023.

H. Hapipuddin and M. Syahrizal, “Sistem Pakar Midiagnosa Penyakit Pelagra Menerapkan Metode Hybrid Case Based,” J. Inf. Syst. Res., vol. 2, no. 1, pp. 35–39, 2020.

A. L. SP, “Sistem pakar mendiagnosa penyakit kolera menerapkan metode hybrid case based,” Heal. Contemp. Technol. J., vol. 1, no. 1, pp. 13–19, 2020.

M. Zunaidi, U. F. S. S. Pane, and A. H. Nasyuha, “Analisis Teorema Bayes Dalam Mendiagnosa Penyakit Tanaman Pisang,” J. Media Inform. Budidarma, vol. 5, no. 4, pp. 1302–1308, 2021.

N. B. Ginting, G. Ginting, and N. Silalahi, “Sistem Pakar Mendiagnosa Penyakit Sampar Menggunakan Metode Hybrid Case Based,” J. Media Inform. Budidarma, vol. 3, no. 1, p. 65, 2019.

F. Erwis, D. Suherdi, A. Pranata, and A. H. Nasyuha, “Penerapan Metode Hybrid Case Base Pada Sistem Pakar Diagnosa Penyakit Obesitas,” J. MEDIA Inform. BUDIDARMA, vol. 6, no. 1, pp. 378–385, 2022.

R. D. Rambe, “Sistem Pakar Mendiagnosa Penyakit Kanker Usus Besar Pada Manusia Dengan Menerapkan Metode Hybrid Case Based,” JURIKOM (Jurnal Ris. Komputer), vol. 6, no. 6, pp. 606–611, 2020.

P. Tarigan, “Sistem Pakar Untuk Mendiagnosa Penyakit Disentri Dengan Menggunakan Metode Hybrid Case Based,” JTIK (Jurnal Tek. Inform. Kaputama), vol. 2, no. 1, pp. 105–114, 2018.

N. Sulardi and A. Witanti, “Sistem Pakar Untuk Diagnosis Penyakit Anemia Menggunakan Teorema Bayes,” J. Tek. Inform., vol. 1, no. 1, pp. 19–24, 2020.

D. Maulina, “Metode Certainty Factor Dalam Penerapan Sistem Pakar Diagnosa Penyakit Anak,” J. Inf. Syst. Manag., vol. 2, no. 1, pp. 23–32, 2020.

I. R. Simanungkalit and B. Sinaga, “Sistem Pakar Mendiagnosa Penyakit Ayam Kampung Dengan Menggunakan Metode Certainty Factor Berbasis Web,” J. Nas. Komputasi dan Teknol. Inf., vol. 4, no. 6, pp. 390–396, 2021.

H. Sulistiani, I. Darwanto, and I. Ahmad, “Penerapan Metode Case Based Reasoning dan K-Nearest Neighbor untuk Diagnosa Penyakit dan Hama pada Tanaman Karet,” JEPIN (Jurnal Edukasi Dan Penelit. Inform., vol. 6, no. 1, pp. 23–28, 2020.

F. Achmad, A. C. Farhani, P. Febriyanto, and J. Jerry, “Pengaruh usia tanaman karet terhadap analisa diagnosa lateks pada klon RRIM 921,” J. Sci. Appl. Technol., vol. 5, no. 1, pp. 1–8, 2021.

M. Fauzan, “Sistem Pakar Mendiagnosa Penyakit Kandungan Kemih Dengan Menerapkan Metode Hybrid Case Base,” Inf. dan Teknol. Ilm., vol. 7, no. 3, pp. 264–268, 2020.

C. F. Idris, “Sistem Pakar Mendiagnosa Penyakit Polio Menerapkan Metode Hybrid Case Based,” J. Comput. Syst. Informatics, vol. 1, no. 1, pp. 15–19, 2019.

S. Safri, “Sistem Pakar Mendiagnosa Penyakit Kraniofaringioma Dengan Menggunakan Metode Hybrid Case Based,” Inf. dan Teknol. Ilm., vol. 7, no. 1, pp. 51–57, 2019.

Oktari, N., Mesran, M., Utomo, D. P., Aripin, S., & Karim, A. (2022). Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) Dalam Penerimaan Karyawan Perjanjian Kerja Waktu Tertentu (PKWT). Journal of Information System Research (JOSH), 3(3), 218-226.

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