Sistem Pakar Diagnosa Penyakit Kista Ovarium Dengan Metode Forward Chaining

Gusman, Aggy Pramana; Maulida, Dian; Rianti, Eva

doi:10.29165/komtekinfo.v6i1.146

Cited by 6 publications

(5 citation statements)

References 1 publication

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“…Serta pola hidup tidak sehat masyarakat jaman sekarang seperti mengkonsumsi alkohol, makanan cepat saji sehingga mengakibatkan tubuh lebih banyak memproduksi zat kimia.Kista merupakan penyakit yang ditakuti banyak wanita, selain kejadiannya yang cukup banyak dan sering tanpa disadari atau gejala, kista juga dikhawatirkan dapat mengganggu kesuburan. Menurut WHO, kista ovarium merupakan penyebab kematian utama pada kasus keganasan ginekologi saat ini [4].…”

Section: Pendahuluanunclassified

Web-Based Expert System to Diagnose Ovarial Cyst Disease Using Certainty Factor Method

Sundari¹,

Yusda²,

Christy³

2022

J. Tek. Inform. (JUTIF)

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Ovarian cysts are one of the most common forms of reproductive disease affecting women. Cyst or tumor is a form of abnormality that can be regarded as a benign growth of smooth muscle cells in the ovaries. Cysts are usually harmless but do not rule out the possibility of a malignant cyst or even turn into cancer. The thing that makes ovarian cysts dangerous is when they burst, are very large, or block the blood supply to the ovaries. Lack of knowledge of the general public about the symptoms that cause ovarian cyst disease makes it too late to detect this disease early so it is slow in handling, there are even some cysts or tumors which when they become malignant are only detected as having ovarian cysts, as well as unhealthy lifestyles of today's society such as consuming alcohol, fast food, causing the body to produce more chemicals. To overcome this problem, the design of a web-based expert system to diagnose ovarian cyst disease using the certainty factor method is made to assist the public or users in diagnosing through the symptoms they feel. The method used to diagnose ovarian cyst disease is the Certainty Factor method. From the calculations that have been inputted by the user, the results obtained are 97% confidence that the patient is likely to be diagnosed with cystadenoma ovarii mucinosum. With this web-based expert system program, it is hoped that the general public or users can diagnose ovarian cyst disease through the symptoms felt so as to minimize the possibility of the cyst becoming malignant.

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Section: Pendahuluanunclassified

Web-Based Expert System to Diagnose Ovarial Cyst Disease Using Certainty Factor Method

Sundari¹,

Yusda²,

Christy³

2022

J. Tek. Inform. (JUTIF)

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“…Dalam teori probabilitas dan statistika, Teorema Bayes adalah sebuah teorema dengan dua penafsiran berbeda. Dalam penafsiran Bayes, teorema ini menyatakan seberapa jauh derajat kepercayaan subjektif harus berubah secara rasional ketika ada petunjuk baru [10]. Dalam penafsiran frekuentis teorema ini menjelaskan representasi invers probabilitas dua kejadian.…”

Section: Teorema Bayesunclassified

Sistem Pakar Mendiagnosa Penyakit Keputihan Pada Wanita Dengan Metode Teorema Bayes

Simanjuntak

Riandari

2021

JNKTI

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Leucorrhoea is a discharge other than blood from the vaginal canal, if abnormal vaginal discharge is left untreated, as a result the infection can spread, enter the uterus, fallopian tubes, and can infect the ovaries. The application of an expert system in the health sector will greatly assist in survival someone. Expert systems can help diagnose a type of disease based on their own symptoms quickly and precisely. An expert system that is designed as a tool to diagnose the type of leucorrhoea, especially in women who experience vaginal discharge, but often they feel able to recognize themselves that they are suffering from vaginal discharge without feeling the need to go to a doctor for a more detailed examination, and only treat themselves with medication. Free-sale vaginal discharge medication. This expert system will display a selection of symptoms that can be selected by the user, then get the final result with the Bayes theorem method by providing a diagnosis result in the form of a probability value for the emergence of each type of disease and solution. Expert system applications are built on a web basis using HTML, PHP, CSS using the mysql database.

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“…Pemecahan masalah baru pada CBR dilakukan dengan cara mencari permasalahan sejenis pada masa lampau dan memberikan solusi untuk masalah yang akan datang [13]. CBR digunakan untuk menyelesaikan masalah dengan mengingat kejadiankejadian yang sama atau sejenis yang pernah terjadi di masa lalu [14] kemudian menggunakan pengetahuan atau informasi tersebut untuk menyelesaikan masalah yang baru [15]. Dengan menggunakan metode CBR memiliki keunggulan, salah satunya yaitu mengurangi akuisisi pengetahuan dengan menghilangkan kebutuhan untuk ekstrak model atau kumpulan dari aturan-aturan, seperti yang diperlukan dalam model atau sistem yang berbasis aturan [16].…”

Section: Kecerdasan Buatan Berasal Dari Bahasa Inggrisunclassified

Sistem Pakar dalam Mendeteksi Kerusakan Laptop dengan Metode Case Based Reasoning

Rahman¹

2020

JSisfotek

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Laptop is an electronic device that is very widely used today, so the damage to this tool is the most frequently found case. Very many laptop users do not understand the type and level of damage. So researchers conducted this research in making it easier for users to detect laptop damage earlier. This study uses an Expert System that functions as a substitute for experts as a media consultation. The method used is Case Based Reasoning of laptop damage data on Lutfi Computer. The results of this study can detect damage more quickly and precisely in helping users to find the right solution to overcome the damage. So this research is very helpful for laptop users in general in overcoming early on accurately, so users can determine an accurate solution in dealing with damage to their laptops.

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Sistem Pakar Diagnosa Penyakit Kista Ovarium Dengan Metode Forward Chaining

Cited by 6 publications

References 1 publication

Web-Based Expert System to Diagnose Ovarial Cyst Disease Using Certainty Factor Method

Web-Based Expert System to Diagnose Ovarial Cyst Disease Using Certainty Factor Method

Sistem Pakar Mendiagnosa Penyakit Keputihan Pada Wanita Dengan Metode Teorema Bayes

Sistem Pakar dalam Mendeteksi Kerusakan Laptop dengan Metode Case Based Reasoning

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