Forward Chaining Dalam Diagnosis Penyakit Tumbuhan Allium Cepa Var Aggregatum

Kusuma, Dine Tiara; Karmila, Sely; Nova, Tiara Amalia

doi:10.33322/petir.v11i2.347

Cited by 4 publications

(6 citation statements)

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“…In this study, using the forward chaining method modeling for the manufacture of an expert system for diagnosing acute respiratory infections. The forward chaining method is a decision-making method commonly used in expert systems (Kusuma et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

“…The types of systems that can use forward chaining tracking techniques are: (Kusuma et al, 2018). a.…”

Section: Methodsmentioning

confidence: 99%

“…Of these methods, the most frequently used is the forward chaining method, forward chaining is a strategy to predict or find a solution to a problem that starts with a set of known facts (Permata Sari & Realize, 2019). In the Forward Chaining method, tracking starts from tracing all data and rules to achieve the goal (Nuraeni et al, 2016), with the Forward Chaining method departing from left to right, namely from the premise to the final conclusion, this method is often called data driven, namely The search is controlled by the data provided (Kusuma et al, 2018), so that the forward chaining method will be used to match the symptoms in the form of questions which will be answered by the user with existing rules, then conclusions will be obtained (Afandi & Sulistyo, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Diagnosis Detection of Acute Respirator Infection With Forward Chaining Method

Pamungkas

Taufan

Batlayeri

et al. 2021

techno

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Many acute respiratory infections or ARI are caused by viruses that attack the nose, trachea (breathing tube), or the lungs. It can be said that ARI is caused by inflammation that disrupts a person's breathing process. If not treated quickly, ARI can spread to all respiratory systems and prevent the body from getting proper oxygen, moreover it can cause the loss of a person's life. This research aims to diagnose ARI as an early step in practicing artificial intelligence in medicine, designing and apply an expert system that can diagnose ARI. The procedure used in this study uses forward chaining with tracking that begins with input data, and then creates a diagnosis or solution. The expert system used to diagnose acute respiratory inflammation uses the Forward chaining procedure with a data-driven approach, in this approach tracking starts from input data, and then seeks to draw conclusions, so that it can be used. diagnose the type of disease associated with the ARD disease experienced by showing the existing signs.

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Section: Methodsmentioning

confidence: 99%

“…The types of systems that can use forward chaining tracking techniques are: (Kusuma et al, 2018). a.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Diagnosis Detection of Acute Respirator Infection With Forward Chaining Method

Pamungkas

Taufan

Batlayeri

et al. 2021

techno

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“…Gunawan & Wardoyo melakukan penelitian untuk mendiagnosa penyakit insomnia dengan kesimpulan bahwa nilai akurasi hasil Sistem Pakar padaKeahlian akupunktur dalam menangani pasien insomnia adalah 93,33%. Apalagi Sistem Pakar dapat memberikan kesimpulan sesuai aturan meskipun gejala yang dimasukkan oleh pengguna tidak lengkap [8].…”

Section: Pendahuluanunclassified

Sistem Pakar Menggunakan Metode Certainty Factor Dalam Akurasi Identifikasi Penyakit Panleukopenia Pada Kucing

Putra¹,

Nurcahyo²

2020

JSisfotek

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Feline Panleukopenia is a disorder caused by inflammation of Feline Parvovirus. This viral inflammation can trigger inflammation of the digestive system in cats and can also attack the cat's bone marrow, and the total white blood cells in the cat's body will decrease. At this time, many people do not know how to accurately identify the disease Feline Panleukopenia in cats and as a result of that cats who suffer from it experience illness and even death. This study aims to determine the level of accuracy in identifying Panleukopenia in cats. There are several types of symptoms that refer to Feline Panleukopenia. Furthermore, the data is processed manually with the Certainty Factor method and continued by using a website-based expert system software. The processing stages are rule solving, determining the weight value of each symptom and calculating the Certainty Factor value with the rule formula. The results of the data processing are continued with the calculation of the level of accuracy. The result of testing this method is that there are 100% of the 5 test data. Based on the accuracy of the identification results of this system, this study is very precise in the level of identifying the level of accuracy of feline panleukopenia. Expert testing systems have been able to specifically identify Feline Panleukopenia. Through the Certainty Factor method, the level of accuracy that can be obtained is quite accurate and can help veterinarians improve their accuracy to identify Feline Panleukopenia in cats.

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“…both quantity and quality. Plants can be said to be sick if there are abnormal changes in some plant organs [3]. Diseases in plants can limit the production of agricultural products [4].…”

Section: Introductionmentioning

confidence: 99%

Post-Harvest Diseases in Indralaya District, South Sumatra

Pratama

Safitri²

2022

BIOV

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The agricultural sector, especially in Indonesia, is always faced with problems from various factors that can reduce the productivity of a plant. One of these factors is the presence of attacks from plant-disturbing organisms. The method used in this research is by using a purposive sampling method. Samples of diseased plants were observed and taken for observation in the Phytopathology Laboratory, Plant Protection Study Program, Faculty of Agriculture, Sriwijaya University. From the observations that have been made, it was found that many chili plants were attacked by Colletotrichum Rot disease Erwinia caratovora in carrots, anthracnose in oranges and bananas, anthracnose in mangoes, and papayas. Many postharvest diseases found in plants in Indralaya are caused by pathogens in the form of fungi and bacteria.

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Forward Chaining Dalam Diagnosis Penyakit Tumbuhan Allium Cepa Var Aggregatum

Cited by 4 publications

References 0 publications

Diagnosis Detection of Acute Respirator Infection With Forward Chaining Method

Diagnosis Detection of Acute Respirator Infection With Forward Chaining Method

Sistem Pakar Menggunakan Metode Certainty Factor Dalam Akurasi Identifikasi Penyakit Panleukopenia Pada Kucing

Post-Harvest Diseases in Indralaya District, South Sumatra

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