Penerapan Metode Certainty Factor untuk Mendiagnosa Penyakit THT

Siregar, Kristian; Hasugian, Paska Marto

doi:10.53842/juki.v1i2.16

Cited by 4 publications

(6 citation statements)

References 1 publication

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“…Certainty factor menggunakan suatu nilai untuk mengasumsikan derajad keyakinan seorang pakar terhadap suatu data (Sulistiyanto et al, 2022). Alasan menggunakan Certainty Factor karena metode Certainty Factor ada nilai kepastian dibanding dengan metode lain (Kristian Siregar & Paska Marto Hasugian, 2021). Penelitian ini bertujuan untuk membuktikan perhitungan certainty factor terhadap penyakit autoimun yang dirasakan oleh penderita dengan validasi dari pakar ahli.…”

Section: Pendahuluanunclassified

Sistem Pakar Diagnosa Penyakit Autoimun dengan Metode Certainty Factor

Sulistiyanto,

Saprudin,

Devani

2023

JTIK

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Sistem kekebalan tubuh berfungsi untuk menjaga tubuh dari serangan organisme asing, seperti bakteri atau virus. Ketika terserang organisme asing, sistem kekebalan tubuh akan melepas protein yang disebut antibodi untuk melawan dan mencegah terjadinya penyakit. Akan tetapi, pada penderita penyakit autoimun, sistem kekebalan tubuh menganggap sel tubuh yang sehat sebagai zat asing. Akibatnya, antibodi yang dilepaskan menyerang sel-sel sehat tersebut. Mengenali gejala penyakit memerlukan keterampilan dan pengalaman serta pengetahuan. Gejala yang muncul sering kali sulit dikenali dan hanya ahli yang dapat mengidentifikasinya dengan tepat dan benar. Keterbatasan akses konsultasi kepada ahli penyakit, menjadi kendala bagi pasien ketika ingin konsultasi. Sistem pakar kemudian dapat menjadi alternatif solusi untuk menggantikan peran ahli dalam memutuskan jenis penyakit yang menyerang. Penelitian ini bertujuan menerapkan sistem pakar menggunakan certainty factor untuk membantu para pasien dalam memutuskan jenis penyakit autoimun yang kemungkinan menyerang. Penyakit yang dijadikan sampel adalah Lupus, Penyakit Graves, Psoriasis, Multiple sclerosis, Myasthenia gravis, Tiroiditis Hashimoto, Kolitis ulseratif dan Crohn’s disease, Rheumatoid, Arthritis, Sindrom Guillain Barré, serta Vaskulitis. Hasil penerapan certainty factor dalam mengidentifikasi jenis penyakit dari kasus yang diidentifikasi, menunjukkan nilai kepastian 90% untuk penyakit Multiple sclerosis (P4). Sistem Pakar dapat membantu pasien yang memerlukan informasi mengenai sakit yang dideritanya, sehingga bisa melakukan tindakan pencegahan. Diagnosa kemungkinan penyakit yang diterapkan menggunakan metode Certainty Factor mampu memberikan hasil diagnosa secara mudah dan cepat berdasarkan pengetahuan pakar dan data gejala yang dipilih oleh pengguna.

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Section: Pendahuluanunclassified

Sistem Pakar Diagnosa Penyakit Autoimun dengan Metode Certainty Factor

Sulistiyanto,

Saprudin,

Devani

2023

JTIK

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“…The flexibility of the BC method is described by allowing the expert system to adjust solutions or recommendations based on the calculation values of supported information. If the backward step finds the supported information leads to a different solution than the expert system, adjust the calculation path to find a more relevant solution by the conditions and facts [24] and [34]. BC is also flexible in rule-based maintenance, easily adaptable for knowledge or rules-based acquisition without any comprehensive diversity of decision tree structure significantly.…”

Section: Backward Chaining (Bc)mentioning

confidence: 99%

Expert System to Detect Online Game Addiction for University Students Using the Backward Chaining and Certainty Factor Approaches

Muslimin,

Okfalisa,

Pizaini

et al. 2023

J. Tek. Inform. (JUTIF)

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Online gaming addiction harms students' physical health, mental well-being and academic performance. The addiction to playing online games has three categories, namely high, moderate and low, which are rarely known by the general public. The significant of knowledge acquisition on the addiction symptom and preventive activities forces the emergence of new idea on expert system identification platform. Therefore, this research aims to develop an expert system using the Backward Chaining (BC) and Certainty Factor (CF) approaches to detect the initial addiction level of online games for university students. Herein, the BC is used to identify the levelling of online game addiction based on the symptoms experienced by the user. There are thirty-three symptoms (G01-G33) provided through the thorough literature reviews and interviews with psychiatrics. Meanwhile, the CF is applied to calculate the level of certainty in determining the possibility of addiction describing in six scale level interpretation. As a result, the application of these two methods has effectively succeeded and reached proper accuracy in identifying the level of addiction of students towards their behavior on playing online games. The comparison of CF testing values between the system calculation and expert judgement shows the sophisticated result. Thus, this research can be utilized by the medical and psychiatric authorities, parents, and students in assessing their symptoms of addiction as an early warning in facing the possible risks arising from online game addiction.

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“…Because of this, we need an application that can be accessed anywhere, able to diagnose disease and can help parents in studying the symptoms of disease in toddlers (Sari, 2013) (Kristian Siregar & Paska Marto Hasugian, 2021). This program is in the form of an expert system that can be overcome by adopting the expertise of an expert doctor into a computer-based system that is able to carry out diagnoses like an expert doctor (Setyaputri et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Expert System For Diagnosing Diseases in Toddlers Using The Certainty Factor Method

Saputra

Utami

Edriyansyah

et al. 2022

JAETS

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Disease is an abnormal condition in the body that causes body misalignment. There are various types of diseases that threaten humans, both parents and children. This disease can be caused by germs, bacteria, viruses, toxins, organ failure to function, and also by inherited/hereditary diseases. The difficulty of parents to find out the disease suffered by their children is one of the problems of parents today. So, we need a system to help with this predicament. The purpose of making this application is to provide information quickly and accurately in solving problems to help consult about diseases in toddlers aged 0-5 years. In addition, to find out ways to make programs that are expert systems using programming languages for artificial intelligence applications, namely PHP and Mysql, the certainty factor method is applied in web form. Using the certainty factor method is a decision-making strategy that starts from the section premise to conclusion. The result of system implementation is that the user chooses from the symptoms that already exist in the system based on the existing symptoms then processed, from the process the system provides information on diseases in children suffered by toddlers. From the results of testing this expert system has been able to diagnose diseases in children. After the diagnosis, the types of diseases and solutions will appear. Diagnosing disease in children by using this certainty factor is expected to make it easier to diagnose disease in children

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Penerapan Metode Certainty Factor untuk Mendiagnosa Penyakit THT

Cited by 4 publications

References 1 publication

Sistem Pakar Diagnosa Penyakit Autoimun dengan Metode Certainty Factor

Sistem Pakar Diagnosa Penyakit Autoimun dengan Metode Certainty Factor

Expert System to Detect Online Game Addiction for University Students Using the Backward Chaining and Certainty Factor Approaches

Expert System For Diagnosing Diseases in Toddlers Using The Certainty Factor Method

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