Perancangan Aplikasi Sistem Pakar Deteksi Kerusakan Mesin Alat Berat (Beko) Dengan Menerapkan Metode  Teorema Bayes

Syahrizal, Muhammad; Haryati, Haryati

doi:10.30865/mib.v2i2.596

Cited by 5 publications

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“…This system is a computer system that can match or imitate the ability of an expert. This system works to adopt human knowledge to computers that combine the knowledge base with an inference system to replace the function of an expert in solving a problem (Syahrizal &;Haryati, 2018).…”

Section: Literature Review Expert Systemmentioning

confidence: 99%

Implementation of Fuzzy Expert System to Detect Parkinson's Disease Based on Mobile

Chen,

Gustientiedina

2024

JABT

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Parkinson's disease is a neurodegenerative disorder characterized by classic motor symptoms, namely bradykinesia, rigidity and tremor, where this disease attacks nerve cells gradually in the midbrain part which regulates the movement of the human body. This disease is one of the most common diseases found in old age with a prevalence of around 160 per 100,000 population. Among the general public knowledge about the diseaseparkinson considered to be minimal, as a result many sufferers parkinson which is not handled properly. Therefore the authors built an application to detect and provide information on Parkinson's disease withFuzzy Expert System. This application was built based on Android mobile to make it easier for users to operate it. In this research method Fuzzy Expert System aims to find out whether the patient has Parkinson's or not based on the input value of each symptom displayed. Symptom data were obtained from experts through interviews and appropriate literature. This system begins by entering the symptoms of Parkinson's disease that have been obtained from experts into the system. Symptoms included include: Tremor/vibration, Rigidity/Rigidity, Akinesia/Bradykinesia, Autonomic Dysfunction, Gait as if about to fall. After the symptoms are entered, the system will calculate the setFuzzy, each symptom is divided into 2 (two) criteria/sets, namely: rarely, and often. After forming the setFuzzy, The system will match the rule base obtained from the expert. The results of this system detection whether the user has Parkinson's disease or not. In building the system the author uses the waterfall method, which means sequential and systematic. The database used is the MySQL database. Testing this research using the Black Box Testing method. From the research that has been done, this system has succeeded in achieving a percentage value of 70% for accuracy results based on 20 trials from respondents, there are 6 experiments that are not in accordance with expert opinion. On testingusability obtaining a percentage of 40% for very good and 60% for good, with these results showing that the expert system that has been built can run well and is easy for users to use. Keywords: Parkinson's Disease, Detecting, Fuzzy Expert System, Mobile

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Section: Literature Review Expert Systemmentioning

confidence: 99%

Implementation of Fuzzy Expert System to Detect Parkinson's Disease Based on Mobile

Chen,

Gustientiedina

2024

JABT

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“…Beberapa penelitian-penelitian terdahulu yang berkaitan dengan penelitian ini yaitu seperti penelitian yang dilakukan oleh Arfyanti & Fahmi (2023) yang meneliti tentang penerapan Teorema Bayes pada diagnosa penyakit guillain-barre syndrome ldengan lhasil lyang ldiperoleh lyaitu metode Teorema Bayes mampu dalam melakukan diagnosa penyakit guillain-barre syndrom dengan tingkat akurasi 77.2 % (Arfyanti & Fahmi, 2023). Kemudian penelitian dari Wibowo et.…”

Section: Abstrakunclassified

Penerapan Teknologi Sistem Pakar Dengan Metode Teorema Bayes Untuk Deteksi Dini Penyakit Parkinson

Lubis

Sartikha

Ardi

2023

jmp

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Penyakit Parkinson merupakan salah satu dari serangkaian jenis penyakit dengan angka kematian yang cukup tinggi dengan jumlah kematian sampai pada jumlah jutaan nyawa di seluruh dunia setiap tahunnya. Angka kematian tersebut cenderung meningkat karena kurangnya informasi tentang gejala awal dan bahaya dari penyakit parkinson itu sendiri, sehingga diperlukan suatu sistem yang dapat memberikan informasi tentang penyakit parkinson dan cara penanggulangannya karena kurangnya informasi deteksi dini. penyakit Parkinson menggunakannya. Masalah ini dapat diatasi dengan teknik berbasis sistem pakar, yang dapat melakukan deteksi berdasarkan gejala yang dialami pasien. Salah satu pendekatan yang dapat diterapkan pada aplikasi teknis sistem pakar adalah Teorema Bayes, yaitu suatu cara mendefinisikan ukuran kepastian tentang suatu fakta atau aturan yang menggambarkan tingkat kepercayaan yang dimiliki seorang pakar tentang masalah yang dihadapi. Perancangan dan penerapan pendekatan Bayesian pada sistem pakar untuk deteksi dini gejala penyakit Parkinson berjalan dengan baik dan menghasilkan jenis kategori penyakit Parkinson yang dialami oleh pengguna sistem, berdasarkan gejala yang dialami dan gejala yang dipilih oleh pengguna.

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“…Pada penelitian [3] yang akan dilakukan menetapkan metode case based reasoning (CBR) untuk membangun sebuah sistem yang memiliki kemampuan untuk mendiagnosa kerusakan pada telivisi perbedaan penelitian yang dilakukan dengan penelitian yang diangkat adalah jumlah gejala dari penelitian sebelumnya dengan jumlah gejala yang dilakukan jauh lebih banyak sehingga keakuratan tingkat kecocokan jauh lebih baik. Proses kerusakan televisi memang sebaiknya dilakukan oleh seorang pakar yang merupakan seseorang pakar televisi itu sendri, namun dikarenakan televisi merupakan alat yang sudah tidak lajim lagi orang mengenalnya maka masyarakat juga sudah banyak yang memiliki televisi dirumah mereka masing-masing.…”

Section: Pendahuluanunclassified

Implementasi Metode Case Based Reasoning Untuk Mendeteksi Kerusakan Televisi

Wulandari

Nasution

Munandar

2021

mib

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The process of deteriorating television should indeed be done by an expert who is a television expert himself, but because television is a tool that is no longer common for people to know him, many people also have television in their respective homes. Even for television repairs, it is quite expensive, so some people who have televisions can do television maintenance at home. The lack of knowledge possessed by the community can lead to wrong handling of television maintenance / maintenance and this has a fatal impact. Hopefully the existence of this system can help the community in diagnosing the damage to their televisions. In that case they need not bother to call for repairmen or bring in a television repair shop. Here the authors provide solutions to solve the problems that often arise on television. In this study, it discusses how to care for television officers. The research objective is to analyze a desktop-based expert system program that contains the knowledge of an expert / doctor whose truth is believed to have the ability to be able to diagnose the disease from the symptoms of damage that has been damaged by television damage quickly and precisely. The stages of research carried out in this study include literature study, data collection, system design, system creation, system testing. Case Based Reasoning is a method used to build a knowledge-based system. The source of system knowledge is obtained by collecting the handling of cases by an expert / expert. Therefore, many problems in television damage are usually due to the negligence of the television owner himself. The first step in solving a problem is by first identifying the scope of the problem to be resolved, this also applies to any Artificial Intelligence (AI) programming. The results obtained in the study for the diagnosis of conjunctivitis were the value of old cases and new cases which obtained a high weight value, namely 1 from the third case

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Perancangan Aplikasi Sistem Pakar Deteksi Kerusakan Mesin Alat Berat (Beko) Dengan Menerapkan Metode Teorema Bayes

Cited by 5 publications

References 0 publications

Implementation of Fuzzy Expert System to Detect Parkinson's Disease Based on Mobile

Implementation of Fuzzy Expert System to Detect Parkinson's Disease Based on Mobile

Penerapan Teknologi Sistem Pakar Dengan Metode Teorema Bayes Untuk Deteksi Dini Penyakit Parkinson

Implementasi Metode Case Based Reasoning Untuk Mendeteksi Kerusakan Televisi

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