Application of Expert System for Diagnosing Diseases Cocoa Plants Using the Forward Chaining Algorithm Method

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Omar Pahlevi Muhamad Kusumo Atmojo
Corresponding Author:
Omar Pahlevi |

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Omar Pahlevi, Muhamad Kusumo Atmojo


Cacao plants originated from South America, then spread to North America, Africa and Asia. In Indonesia, cocoa has been known since 1560, but has become an important commodity since 1951. Cacao commodity plays an important role in the national economy and is a national mainstay commodity. This shows that cocoa is one of the results of plantation commodities that have a high economic value and play an important role as a source of foreign exchange through exports, as well as encouraging the regional economy, especially in rural areas. But behind the high value of cocoa production, there are problems faced, including the low quality of cocoa in Indonesia because cocoa plantations in Indonesia are threatened by pests and plant diseases. Lack of information that is known by the plantation and cocoa farmers about the types of diseases that attack cocoa plants, causing many cocoa plants that are not handled properly. If this is allowed to continue it will impact on the declining quality and production of cocoa plants. Current advances in information technology, especially cellular phones, can be used as a means to improve public services, one of the results of the development of cellular technology is the birth of cellular phones with the android operating system. In this research produced if the symptoms data entered could not find the type of cocoa plant disease because the input data did not match any disease data in the database, the system would display the word "Can not find the disease you are looking for because it is not related to fruit rot disease, stem cancer, vascular antraknosem, streak dieback, upas fungus and root fungus ". From the data of symptoms, diseases and relations above, the algorithm is depicted using a decision tree. Decision tree is a picture of tracking symptoms, determining the disease and concluding results in the form of a solution. In this application, using the Forward Chaining method so that tracking begins with the selection of symptoms experienced then the results of the diagnosis in the form of cocoa plant diseases.

Keyword: Expert System, Diagnosis, Cocoa Plant Disease, Forward Chaining Method


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PAHLEVI, Omar; ATMOJO, Muhamad Kusumo. Application of Expert System for Diagnosing Diseases Cocoa Plants Using the Forward Chaining Algorithm Method. SinkrOn, [S.l.], v. 4, n. 2, p. 10-18, mar. 2020. ISSN 2541-2019. Available at: <>. Date accessed: 26 may 2020. doi:
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Abu-Naser, S. S., Kashkash, K. A., & Fayyad, M. (2008). Developing an Expert System for Plant Disease Diagnosis. Journal of Artificial Intelligence, 1(2), 78–85.

Akil, I. (2017). Analisa Efektifitas Metode Forward Chaining Dan Backward Chaining Pada Sistem Pakar. Jurnal Pilar Nusa Mandiri, 13(1), 35–42.

Ariandi, V., Kurnia, H., Heriyanto, & Marry, H. (2019). Expert System For Disease Diagnosis In Cocoa Plant Using Android-Based Forward Chaining Method. Journal of Physics: Conference Series, 1339(1), 1–7.

Arifin, M., Slamin, S., & Retnani, W. E. Y. (2017). Penerapan Metode Certainty Factor Untuk Sistem Pakar Diagnosis Hama Dan Penyakit Pada Tanaman Tembakau. Berkala Sainstek, 5(1), 21.

David Liauw. (2014). Penerapan Forward Chaining Dalam Sistem Pakar Diagnosa Hama dan Penyakit Tanaman Jagung. Seminar Nasional Informatika, 90–95.

Hawa, S., Abdullah, & Usman. (2015). Sistem Pakar Diagnosa Penyakit Pada Tanaman Kakao Menggunakan Metode Forward Chaining (Studi Kasus Dinas Perkebunan Indragiri Hilir). Sistemasi, 4(2), 1–8.

Koten, Y. P. (2014). Sistem Pakar Fuzzy untuk Mendiagnosa Penyakit Pada Tanaman Kakao berbasis SMS Gateway. Universitas Atma Jaya Yogyakarta.

Kurniawan, R. (2015). Sistem Pakar Identifikasi Hama Dan Penyakit Tanaman Apel Menggunakan Algoritma Forward Chaining Berbasis Android. Universitas Muhammadiyah Malang.

Layli, F. (2015). Evaluasi Kesesuaian Lahan Untuk Tanaman Kakao Di Kecamatan Selopuro Kabupaten Blitar. 1, 1–13.

Listiyono, H. (2008). Merancang dan Membuat Sistem Pakar. Jurnal Teknologi Informasi DINAMIK, XIII(2), 115–124.

Perkebunan, D. J. (2011). Pedoman Penanganan Pasca Panen Kakao.

Qisty, A. Q. (2018). Sistem Pakar Identifikasi Hama Dan Penyakit Tanaman Kakao Berbasis Android Dengan Menggunakan Metode Forward Chaining Dan Certainty Factor (Vol. 10). Universitas Lampung.

Rubiyo, & Siswanto. (2012). Peningkatan Produksi dan Pengembangan Kakao ( Theobroma cacao L. ) Di Indonesia. Buletin RISTRI, 3(1), 33–48.

Rusdiansyah, Setiawan, S., & Badrul, M. (2019). Diabetes Mellitus Diagnosis Expert System With Web-Based Forward Chaining. SinkrOn, 3(2),61.

Sugiharja, D., Pahlevi, O., & Widyastuti, R. (2019). The RPTRA Geographic Information System Application in Central Jakarta City Using the Dijkstra Algorithm Based on Android. SinkrOn,3(2),56.

Sumpala, A. T., & Rasyid, R. (2019). Expert system for corn plant disease diagnosis with the breadth-first search method. IOP Conference Series: Earth and Environmental Science, 382(1), 1–6.

Susanti, D., & Suhendri. (2017). Perancangan Sistem Pakar Diagnosa Penyakit Tanaman Mangga Dengan Algoritma Depth First Search Berbasis Mobile. Sintak, 24–32.

Tambunan, A. M., Siringoringo, S. R., Aruan, R., Aisyah, P. I., & Sitanggang, D. (2019). An Expert System For Diagnosing Plant Diseases Using Certainty Factor And Backward Chaining Based On Android. Journal of Physics: Conference Series, 1230(1), 1–7.

Yosef. (2014). Android Black Box. Jakarta: Jasakom.