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

Abstract

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.

Sistem Pakar Prognosis Covid-19 Menggunakan Algoritma Forward Chaining

“…Sistem pakar berhubungan dengan tingkah laku cerdas hingga dapat melakukan pekerjaan seperti yang dikerjakan manusia [16]. Dalam implementasinya sistem pakar menggunakan langkahlangkah yang biasa disebut dengan algoritma dalam menyelesaikan suatu masalah [17].…”

Penerapan Metode Forward Chaining dan Naïve Bayes Untuk Mendiagnosa Penyakit Tanaman Kakao

“…Didunia perbisnisan teknologi sangat diperlukan guna mempermudah suatu pekerjaan, sistem pakar pun juga ikut dalam perkembangannya untuk dipakai dimacam-macam bidang [2], antara lain dalam bidang pangan. Salah satu contoh kegunaan dari sistem pakar dalam bidang pangan adalah mempermudah petani untuk mendeteksi penyakit yang dialami pada tanaman yang dibudidanya [3], sehingga dapat mendeteksi sedini mungkin tentang penyakit yang dialami oleh tanaman tersebut dan juga dapat mengetahui cara mengatasi masalah tersebut dengan cepat dan akurat tanpa harus menunggu lama orang yang ahli dalam bidang tersebut [4].…”

Optimization of Expert System Based on Interpolation, Forward Chaining, and Certainty Factor for Diagnosing Abdominal Colic

“…Research related to expert systems using the forward chaining method was conducted by Hafizal et al (2023). The expert system addresses potassium deficiency in cocoa plants using the forward chaining method (Pahlevi and Atmojo, 2020). Utilization of an expert system for diagnosing cocoa plant diseases based on Android using the forward chaining method.…”