Penerapan Metode Certainty Factor untuk Mendiagnosa Penyakit Preekslamsia pada Ibu Hamil dengan Menggunakan Bahasa Pemrograman Python

Hanif, Kharis Hudaib; Muntiari, Novita Ranti; Ramadhani, Putri Ananda

doi:10.33506/insect.v7i2.1818

Cited by 3 publications

(5 citation statements)

References 4 publications

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“…The calculation steps use the Certainty Factor method, namely first looking for the CF value as shown in equation ( 1) and getting CF symptoms by multiplying CFexpert and CFuser as shown in equation ( 2), then calculating the CFcombine as shown in equation ( 3) and the final stage is to calculate the CFpercentage obtained from CFcombine multiplied by 100% as shown in equation ( 4). Calculating the CF value uses the following basic formula [7].…”

Section: Certainty Factormentioning

confidence: 99%

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Application of the Certainty Factor Method for Diagnosing Osteoarthritis Using the Python Programming Language

Muntiari¹,

Hanif²

2023

JAHIR

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Osteoarthritis is a disease that causes the joints in the bones to become weaker and less able to function properly. Osteoarthritis can cause pain, stiffness, and even deformity in the joints. The solution to the problem of diagnosing Osteoarthritis is to use a tool, namely a system (expert system) that uses computer technology to make decisions more easily, effectively and efficiently. This study uses the Certainty Factor method in diagnosing osteoarthritis and uses 8 symptoms, namely, pain in the joints, joints feel stiff, clicks or cracks appear when the joints are bent or moved, joints lose their flexibility properties, joints feel softer when pressure is applied, spurs appear bones around the joints, namely hard and sharp bony protrusions, swelling around the joints, and muscles around the joints. The conclusions from the calculations and program implementation, the application of the certainty factor in diagnosing osteoarthritis with existing test data, results in 95.38% that the patient has severe symptoms of osteoarthritis, so he must be taken to an orthopedic specialist.

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Section: Certainty Factormentioning

confidence: 99%

“…The Certainty Factor can help produce accurate results when calculating the weighted value of the symptoms that the patient has answered. The CF method helps solve the problem of uncertainty in disease diagnosis and also provides a measure of the level of expert certainty in the problem [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Application of the Certainty Factor Method for Diagnosing Osteoarthritis Using the Python Programming Language

Muntiari¹,

Hanif²

2023

JAHIR

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“…Pada konsep CF ini juga sering dikenal dengan adanya believe dan disbelieve. Believe merupakan keyakinan sedangkan disbelieve merupakan ketidakyakinan [12]. Besarnya Certainty Factor berkisar antara -1 sampai 1, -1 menunjukkan ketidakpercayaan mutlak sedangkan nilai 1 menunjukkan kepercayaan mutlak [13].…”

Section: Metode Certainty Factorunclassified

Penerapan Metode Certainty dalam Deteksi Penyakit Sapi Potong

Awidani,

Rianti,

Rahman

2023

komtekinfo

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Di era teknologi saat ini, pemanfaatan kecerdasan buatan atau Artificial Intelligent sudah sangat banyak diterapkan. Kecerdasan buatan sendiri memiliki cakupan yang cukup luas sesuai dengan bidang dan kegunaannya, diantaranya ialah sistem pakar. Sistem pakar merupakan salah satu bagian dari Artificial Intelligent dimana sistem pakar mampu mengadopsi ilmu kepakaran dari seorang pakar dalam mengemukakan suatu keputusan. Di dalam dunia medis, sistem pakar ini dapat diaplikasikan pada aktivitas diagnosa terhadap suatu penyakit berdasarkan gejala-gejala yang dialami oleh pasien. Penelitian ini bertujuan untuk merancang sistem pakar dengan metode Certainty Factor (CF) yang dapat melakukan deteksi penyakit sapi potong. CF merupakan sebuah metode yang mampu menerapkan nilai kepastian dari pakar untuk menghasilkan nilai probabilitas dalam proses diangonis. Sistem ini dibangun untuk memberikan tingkat kepastian akan hasil diagnosa tentang penyakit berbahaya pada sapi. Indikator diagnosis didasari oleh gejala yang didapatkan berdasarkan riwayat diagnosis serta nilai probabilitas mengacu kepada nilai yang diberikan oleh pakar. Berdasarkan pengujian kinerja metode CF dalam diagnosis mendapatkan tingkat akurasi sebesar 90% berdasarkan data uji. Dengan akurasi tersebut, maka penelitian ini dapat dikatakan berhasil dalam melakukan deteksi penyakit pada sapi potong.

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“…Therefore the occurrence of seizures in patients with eclampsia must be avoided. Risk factors for pre-eclampsia are maternal age (less than 16 years or more than 45 years), primigravida, presence of hypertension before pregnancy, multiple pregnancies, molar pregnancies, obesity, history of pre-eclampsia in previous pregnancies (Hanif et al, 2022). By knowing the risk factors, early detection of preeclampsia in pregnant women needs to be done so that later it can be treated more quickly as a prevention of further complications.…”

Section: Introductionmentioning

confidence: 99%

“…There are 3 FIS methods that can be used in processing decisions, namely the Tsukamoto method, the Mamdani method and the Sugeno method (Surorejo, Chaeriko, & Ananda, 2022) There are many researchers who have applied FIS in the process of diagnosing diseases, including diagnosing fever in toddlers, diagnosing coronary heart disease, diagnosing diabetes mellitus, diagnosis of ear, nose and eye disease or ENT, detection of lymph node disease, diagnosis of eye disease and risk diagnosis of heart disease. However, detecting pre-eclampsia in pregnant women has never been done (Juwita, Sarjon, & Yuhandri, 2021), (Sitinjak, 2021), (Rizki & Maulana, 2018), (Rizky & Hakim, 2020), (Novianti, Pribadi, & Saputra, 2018), (Dona, Maradona, & Masdewi, 2021), (Anindita et al, 2023), (Ananta, Putra, Purnawan, Purnami, & Putri, 2018), and (Hanif et al, 2022). (Nizar, Shafira, Aufaresa, Awliya, & Athiyah, 2021),diagnosed diabetes using the three FIS methods and obtained the result that the Sugeno method had the highest level of accuracy in analyzing, namely 97.33%, followed by the Mamdani method of 95.33% and the Tsukamoto method had the highest accuracy.…”

Section: Introductionmentioning

confidence: 99%

Pre-Eclampsia Diagnosis Expert System Using Fuzzy Inference System Mamdani

Manek,

Mada,

Kelen

2023

techno

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Various institutions utilize computer information systems to analyze and process data. An expert system is an information system that is used to help analyze and determine decisions on a problem based on rules determined by experts. This research focuses on creating a prototype expert system for diagnosing pre-eclampsia or pregnancy poisoning in pregnant women based on measuring blood pressure and checking proteinuria. The existing data is then analyzed using the Mamdani system's fuzzy inference method. Supporting theory regarding the fuzzy inference system of Mamdani, pre-eclampsia and its examination indicators will be used as a basis for creating this expert system prototype. The data used were secondary data on preeclampsia patients in the form of medical records of blood pressure measurements, proteinuria examinations and doctor diagnoses of preeclampsia patients at two Regional General Hospitals (RSUD), namely Atambua and Kefamenanu, totaling 20 samples. The interface or user interface of this prototype system is made as simple as possible so that it can be operated by all ordinary people. The programming language used is Visual Basic (VB) with the Visual Studio 2010 developer application. The initial prototype of this system will continue to be developed until it can become a Information systems or real applications used in hospitals. The results of this research are that the expert system for diagnosing preclampsia can be used well and easily by hospital staff and show congruence between the system diagnosis results and the diagnosis results from obstetricians or experts in the 20 processed data.

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Penerapan Metode Certainty Factor untuk Mendiagnosa Penyakit Preekslamsia pada Ibu Hamil dengan Menggunakan Bahasa Pemrograman Python

Cited by 3 publications

References 4 publications

Application of the Certainty Factor Method for Diagnosing Osteoarthritis Using the Python Programming Language

Application of the Certainty Factor Method for Diagnosing Osteoarthritis Using the Python Programming Language

Penerapan Metode Certainty dalam Deteksi Penyakit Sapi Potong

Pre-Eclampsia Diagnosis Expert System Using Fuzzy Inference System Mamdani

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