Sistem Pakar Diagnosa Penyakit Jantung  Dengan Metode Case Based Reasoning (Cbr)

Dona, Dona; Maradona, Hendri; Masdewi, Masdewi

doi:10.31849/zn.v3i1.6442

Cited by 14 publications

(15 citation statements)

References 1 publication

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“…Kesehatan merupakan hal yang paling berharga bagi manusia, karena siapa saja dapat mengalami gangguan kesehatan [6]. Dewasa ini, banyak penyakit yang menyebabkan angka kematian meningkat, salah satunya adalah penyakit Cardiovascular Diseases (CVD).…”

Section: Pendahuluanunclassified

Klasifikasi Penyakit Jantung Menggunakan Algoritma Decision Tree Series C4.5 Dengan Rapidminer

Gunawan¹,

Saraswati²,

Agung³

et al. 2023

JTEKSIS

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Penyakit jantung masih menjadi salah satu penyebab utama kematian tertinggi di Indonesia dan dunia baik pria maupun wanita pada segala usia. Untuk menekan jumlah kematian akibat penyakit jantung, maka dari itu perlunya dilakukan penelitian untuk menganalisa data terkait dengan penyebab penyakit jantung terjadi. Pada penelitian ini digunakan algoritma decision tree series C4.5 dalam melakukan proses klasifikasi data penyakit jantung. Algoritma decision tree series C4.5 ini diproses pada tools rapidminer version 9.10. melalui tahapan Pre-processing, Set role, pemodelan algoritma decision tree series C4.5 terhadap data training, apply model terhadap data testing, dan pengujian untuk menghitung keakuratan model terhadap data testing. Pengujian menggunakan confusion matrix menghasilkan tingkat Accuracy sebesar 80,43% dan didapatkan error classification sebesar 19,57%. Serta diperoleh hasil Visualisasi AUC (Area Under Curve) dari kurva ROC diperoleh nilai AUC:0,798 (Positive class): Penyakit Jantung.

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Section: Pendahuluanunclassified

Klasifikasi Penyakit Jantung Menggunakan Algoritma Decision Tree Series C4.5 Dengan Rapidminer

Gunawan¹,

Saraswati²,

Agung³

et al. 2023

JTEKSIS

View full text Add to dashboard Cite

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“…Weighting is determined based on learning outcomes or observations in cases. The more influential a symptom is on the case, the higher the weight and vice versa [ 13]. The following is Table 1.…”

Section: Case Based Reasoning Calculation Analysismentioning

confidence: 99%

Expert System for Diagnosing Cerebral Palsy in Children with the Case Based Reasoning Method

Antoni

2023

jcsitech

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The rampant influence of technology certainly has positive and negative impacts on the increasingly complex development of health sciences and diseases. Technology in the field of computerization has been widely used in various lines of life. Technology is very helpful in various aspects of life, with the existence of technology humans can create various tools to facilitate human work. Cerebral Palsy is a disease or disorder that often occurs in today's development. Cerebral Palsy is not a fatal disease but a condition that affects the body, its treatment and treatment can help regulate its effects on the body. An expert system is a system that adopts human knowledge to a computer that combines basic knowledge with an inference system to replace the function of an expert in solving a problem. advances in expert systems can overcome this problem by designing a Desktop-based computer system that uses the Java programming language and MySQL database so that it can help users to diagnose disease. Various methods can be used to build expert systems, one of which is the Case Based Reasoning method. Where the process of calculating Case Based Reasoning compares new cases with old cases and divides them into four stages, namely retrieve, reuse, revise and retain, to get the results of the type of disease suffered by the patient in the form of a percentage. In this expert system, the system will ask questions like a patient is having a dialogue with an expert. Then, select yes for symptoms that are felt and no for symptoms that are not felt. The system will make a diagnosis based on the patient's symptoms. Diagnostic results include the type of Cerebral Palsy experienced and treatment options as well as the percentage of patients likely to suffer from the disease

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“…Untuk mendukung hasil diagnosa yang akurat, dibutuhkan sebuah metode yang tepat, maka dalam penelitian ini digunakan metode certainty factor. Alasan dasar penggunaan metode certainty factor dalam penelitian ini diantaranya adalah berupa penelitian yang telah dilakukan sebelumnya [3], [4] terkait proses diagnosa pada Granulomatous Dermatis dan proses diagnosa penyakit THT, serta penelitian lainnya [5], [6]yang terkait proses diagnosa penyakit kolesterol, dengan metode certainty factor didapatkan tingkat kepastian yang akurat sesuai dengan diagnosa. Untuk memudahkan pengguna dalam mediagnosa penyakit hermatologi-onkologi ini, maka system yang dibangun adalah sistem berbasis Android.…”

Section: Pendahuluanunclassified

Penerapan Metode Certainty Factor Dalam Diagnosa Hermatologi-Onkologi

Gaol¹,

Lusiyanti²,

Nasyuha³

2022

mib

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Hematology oncology is a blood cancer that is quite worrying because it is identical to a condition that leads to death and this happens all over the world, where this disease not only affects adults but can also occur in children. Some experts suspect that the cause of blood cancer is due to changes in DNA that can trigger healthy blood cells to become cancerous. The World Health Organization (WHO) has stated that blood cancer is a very serious health problem because the number of sufferers increases by about 20% per year. This condition can certainly be prevented if patients who experience this disease can be detected early. To help overcome these problems, an Android-based system was developed that can diagnose blood cancer early based on the symptoms experienced by the patient, and this system was developed through a process of adopting expertise from experts into the form of a computer-based system known as the Expert System. . In order for the results of the diagnosis to have a high level of accuracy, an appropriate method is needed in its application, for that a method with a certainty factor algorithm is used. Based on the research results, in designing an expert system that adopts the Certainty Factor method, it can be used in solving problems related to the process of diagnosing hematological oncology diseases with an accurate level of certainty, this makes the diagnosis process easier and accuracy in determining oncological hematological diseases by utilizing the system.

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Sistem Pakar Diagnosa Penyakit Jantung Dengan Metode Case Based Reasoning (Cbr)

Cited by 14 publications

References 1 publication

Klasifikasi Penyakit Jantung Menggunakan Algoritma Decision Tree Series C4.5 Dengan Rapidminer

Klasifikasi Penyakit Jantung Menggunakan Algoritma Decision Tree Series C4.5 Dengan Rapidminer

Expert System for Diagnosing Cerebral Palsy in Children with the Case Based Reasoning Method

Penerapan Metode Certainty Factor Dalam Diagnosa Hermatologi-Onkologi

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