Bayes Theorem and Forward Chaining Method On Expert System for Determine Hypercholesterolemia Drugs

Perbawawati, Anna Adi; Sugiharti, Endang; Muslim, Much Aziz

doi:10.15294/sji.v6i1.14149

Cited by 8 publications

(6 citation statements)

References 8 publications

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“…Proses penghitungan teorema bayes menggunakan data opsional akan menghasilkan nilai probabilitas [20]. Teorema Bayes akan digabungkan dengan naivety, yang berarti bahwa setiap atribut atau variabel adalah independen.…”

Section: Metode Naive Bayesunclassified

Sistem Pakar dengan Menggunakan Metode Naive Bayes dalam Mengidentifikasi Penyakit Karies pada Gigi Manusia

Hari

Sumijan

2021

JSisfotek

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Caries disease in human teeth is a disease that permanently destroys the inner walls of teeth and forms small holes in the teeth. The Indonesian people lack the knowledge to find information and identify tooth decay, which makes many people unaware of the consequences and dangers of this disease. Tooth decay disease is usually caused by three factors. The first factor is teeth and saliva, which are the hosts of microorganisms in the oral cavity. Bacteria and food are the second and third factors. The purpose of this research is to help the public find information about tooth decay, thus forming a branch of artificial intelligence, the expert system. Artificial intelligence is a science that allows you to build computer systems that display intelligence in different ways. An expert system is a computer program or information system that uses some knowledge of an expert. The methods used in this study are the Naive Bayes method and the model's view controller, which are implemented as a database in the PHP Codeigniter framework and MySQL. The data processed in this study is knowledge about the symptoms of dental caries obtained from experts. The test results of this method provide patients with the knowledge necessary to prevent tooth decay, with an accuracy rate of 83.61%. This expert system helps the public to recognize and obtain information about tooth decay. The Expert System can also be used to take the first step in preventing tooth decay.

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Section: Metode Naive Bayesunclassified

Sistem Pakar dengan Menggunakan Metode Naive Bayes dalam Mengidentifikasi Penyakit Karies pada Gigi Manusia

Hari

Sumijan

2021

JSisfotek

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“…Dengan variabelnya adalah gejala umum dan beberapa obat hiperkolesterolemia. Didapatkan pemilihan sistem obat hiperkolesterolemia dengan keakuratan 96,05% [13]. Penerapan metode Naive Bayes Classifier pada penelitian mengenai gejala awal penyakit Covid-19 pada pasien.…”

Section: Pendahuluanunclassified

Sistem Pakar dalam Mengidentifikasi Gejala Stroke Menggunakan Metode Naive Bayes

2021

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Stroke is a disease caused by brain damage caused by disruption of the blood supply to the brain. At this time in general, people are still not very familiar with how this stroke disease or do not realize the symptoms that may have appeared from the start. People also tend to be hesitant to visit the hospital to check their symptoms and feel they are delaying further examinations. This is certainly a scourge that continues to make the number of strokes increase. In assisting the community in identifying stroke disease, an expert system is needed that is able to identify the type of stroke based on the symptoms felt. The data used in this study were obtained from Brain Hospital. Dr. Drs. M. Hatta Bukittinggi which was later developed into a website-based system using the PHP Framework Laravel programming language and MySQL as the database. The system is built based on the Naive Bayes method which is one of the Expert System methods that has a high accuracy value. The use of this system is expected to be able to provide knowledge to the public about the symptoms that might lead to what type of stroke the user might suffer, so that the user can use the results of the system as a reference to visit the hospital and immediately get more targeted help. This system can perform calculations that match the results of the doctor's diagnosis with an accuracy value of 100% in identifying the type of stroke from 10 data samples used.

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“…Seperti yang terdapat pada penelitian [11], [12], [13], [14], [15] adalah metode yang menggunakan aturan kondisi-aksi. Dalam metode ini menggunakan sejumlah aturan yang akan dijalankan dan selanjutnya aturan dijalankan.…”

Section: Forward Chainingunclassified

Aplikasi Sistem Pakar Pada Diagnosa Penyakit Hipertensi Dan Diabetes Berbasis Web Mengggunakan Metode Forward Chaining

Sukamto¹,

Suherlan²,

Haryanto³

2020

JSAI

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Dengan pesatnya perkembangan teknologi dan ilmu pengetahuan maka berkembang pula dari gaya hidup masa ini sehingga dengan berkembangnya gaya hidup manusia sehingga merubah pula pola makan yang tidak teratur atau kadang-kadang jenis makanan instant yang bisa memicu dan berpengaruh pada sistem kesehatan manusia diantaranya penyakit diabetes dan hipertensi. Salah satu timbul penyakit disebabakan karena keengganan manusia dalam mengontrol kondisi kesehatan misalanya memerika pada dokter tentang penyakit tertentu. Dengan latar belakang permasalahan diatas perlu adanya suatu sistem diagnosa penyakit secara lebih fleksibel dengan menggunakan sistem pakar. Dalam implementasinya dirancang sistem pakar diagnosa penyakit hipertensi dan diabetes dengan menggunakan metode forward chaining karena penyakit ini dirasa perlu dikontrol dengan menggunakan sistem pakar. Dengan adanya sistem pakar dalam diagnosa penyakit hipeetensi dan diabetes diharapkan mendeteksi penyakit secara dini dengan cepat sebelum dilanjutkan pengobatan secara maksimal ke dokter

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Bayes Theorem and Forward Chaining Method On Expert System for Determine Hypercholesterolemia Drugs

Cited by 8 publications

References 8 publications

Sistem Pakar dengan Menggunakan Metode Naive Bayes dalam Mengidentifikasi Penyakit Karies pada Gigi Manusia

Sistem Pakar dengan Menggunakan Metode Naive Bayes dalam Mengidentifikasi Penyakit Karies pada Gigi Manusia

Sistem Pakar dalam Mengidentifikasi Gejala Stroke Menggunakan Metode Naive Bayes

Aplikasi Sistem Pakar Pada Diagnosa Penyakit Hipertensi Dan Diabetes Berbasis Web Mengggunakan Metode Forward Chaining

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