PENERAPAN FUZZY INFERENCE SYSTEM TAKAGI-SUGENO-KANG PADA SISTEM PAKAR DIAGNOSA PENYAKIT GIGI
| Main Authors: | Setiawati, Lutfi Salisa, Budiman, Irwan, Soesanto, Oni |
|---|---|
| Other Authors: | Ilmu Komputer, ULM, Unlam, Universitas Lambung Mangkurat |
| Format: | Article info eJournal |
| Bahasa: | eng |
| Terbitan: |
Lambung Mangkurat University
, 2016
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| Online Access: |
http://klik.unlam.ac.id/index.php/klik/article/view/30 http://klik.unlam.ac.id/index.php/klik/article/view/30/28 |
| ctrlnum |
article-30 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">PENERAPAN FUZZY INFERENCE SYSTEM TAKAGI-SUGENO-KANG PADA SISTEM PAKAR DIAGNOSA PENYAKIT GIGI</title><creator>Setiawati, Lutfi Salisa</creator><creator>Budiman, Irwan</creator><creator>Soesanto, Oni</creator><description lang="en-US">Generally, expert system only show types of disease after user choose symptoms. In the study is done the addition of disease severity level. The method applied in the calculation of the severity is a method of Fuzzy Inference System Takagi-Sugeno-Kang (Method of Sugeno). This study attempts to know whether method Fuzzy Inference System Takagi-Sugeno-Kang can work for expert system in giving the diagnosis diseases of the teeth. The result of this research or severity for diseases of pulpitis reversible 38,53%, pulpitis irreversible 59,64%, periodontitis 69,62%, acute periodontitis 51,43%, gingivitis 45.5%, acute pericoronitis 53,93%, sub acute pericoronitis 52,14%, chronic pericoronitis 46,05%, caries dentist an early stage 37,61%, caries dentist toward an advanced stage 43,89%, caries dentist an advanced stage 51,76%, gangrene pulpa 42,5%, polyps pulpa 56,43%, and periostitis 58,55%. A conclusion that was obtained from the study that is a method of Fuzzy Inference System Takagi-Sugeno-Kang could be applied to expert system of the teeth.
Key Word: Teeth , Expert System , Expert System Teeth , Fuzzy Logic , Fuzzy Inference System , Takagi-Sugeno-Kang , Fuzzy Sugeno
Pada umumnya, istem pakar hanya menampilkan jenis penyakit setelah user memilih gejala-gejala. Pada penelitian ini dilakukan penambahan tingkat keparahan penyakit. Metode yang diterapkan dalam perhitungan tingkat keparahan ini yaitu Metode Fuzzy Inference System Takagi-Sugeno-Kang (Metode Sugeno). Penelitian ini bertujuan untuk mengetahui apakah metode Fuzzy Inference System Takagi-Sugeno-Kang dapat diterapkan pada sistem pakar dalam memberikan diagnosa penyakit gigi. Hasil dari penelitian ini didapatkan tingkat keparahan untuk penyakit Pulpitis Reversibel 38,53%, Pulpitis Irreversibel 59,64%, Periodontitis 69,62%, Periodontitis Akut 51,43%, Gingivitis 45,5%, Perikoronitis Akut 53,93%, Perikoronitis Sub Akut 52,14%, Perikoronitis Kronis 46,05%, Karies Denties Tahap Awal 37,61%, Karies Dentis Menuju Tahap Lanjut 43,89%, Karies Denties Tahap Lanjut 51,76%, Gangren Pulpa 42,5%, Pulpa Polip 56,43%, dan Periostitis 58,55%. Kesimpulan yang didapatkan dari penelitian ini yaitu metode Fuzzy Inference System Takagi-Sugeno-Kang dapat diterapkan pada sistem pakar gigi.
Kata Kunci : Gigi, Sistem Pakar, Sistem Pakar Gigi, Logika Fuzzy, Fuzzy Inference System, Takagi-Sugeno-Kang, Fuzzy Sugeno</description><publisher lang="en-US">Lambung Mangkurat University</publisher><contributor lang="en-US">Ilmu Komputer, ULM, Unlam, Universitas Lambung Mangkurat</contributor><date>2016-04-28</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><type>Other:</type><identifier>http://klik.unlam.ac.id/index.php/klik/article/view/30</identifier><identifier>10.20527/klik.v3i1.30</identifier><source lang="en-US">KLIK - KUMPULAN JURNAL ILMU KOMPUTER; Vol 3, No 1 (2016); 1-10</source><source lang="id-ID">KLIK- KUMPULAN JURNAL ILMU KOMPUTER; Vol 3, No 1 (2016); 1-10</source><source>2443-406X</source><source>2406-7857</source><source>10.20527/klik.v3i1</source><language>eng</language><relation>http://klik.unlam.ac.id/index.php/klik/article/view/30/28</relation><rights lang="en-US">Copyright (c) 2016 KLIK - JURNAL ILMIAH ILMU KOMPUTER</rights><recordID>article-30</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other Other: Journal:eJournal |
| author |
Setiawati, Lutfi Salisa Budiman, Irwan Soesanto, Oni |
| author2 |
Ilmu Komputer, ULM, Unlam, Universitas Lambung Mangkurat |
| title |
PENERAPAN FUZZY INFERENCE SYSTEM TAKAGI-SUGENO-KANG PADA SISTEM PAKAR DIAGNOSA PENYAKIT GIGI |
| publisher |
Lambung Mangkurat University |
| publishDate |
2016 |
| url |
http://klik.unlam.ac.id/index.php/klik/article/view/30 http://klik.unlam.ac.id/index.php/klik/article/view/30/28 |
| contents |
Generally, expert system only show types of disease after user choose symptoms. In the study is done the addition of disease severity level. The method applied in the calculation of the severity is a method of Fuzzy Inference System Takagi-Sugeno-Kang (Method of Sugeno). This study attempts to know whether method Fuzzy Inference System Takagi-Sugeno-Kang can work for expert system in giving the diagnosis diseases of the teeth. The result of this research or severity for diseases of pulpitis reversible 38,53%, pulpitis irreversible 59,64%, periodontitis 69,62%, acute periodontitis 51,43%, gingivitis 45.5%, acute pericoronitis 53,93%, sub acute pericoronitis 52,14%, chronic pericoronitis 46,05%, caries dentist an early stage 37,61%, caries dentist toward an advanced stage 43,89%, caries dentist an advanced stage 51,76%, gangrene pulpa 42,5%, polyps pulpa 56,43%, and periostitis 58,55%. A conclusion that was obtained from the study that is a method of Fuzzy Inference System Takagi-Sugeno-Kang could be applied to expert system of the teeth.
Key Word: Teeth , Expert System , Expert System Teeth , Fuzzy Logic , Fuzzy Inference System , Takagi-Sugeno-Kang , Fuzzy Sugeno
Pada umumnya, istem pakar hanya menampilkan jenis penyakit setelah user memilih gejala-gejala. Pada penelitian ini dilakukan penambahan tingkat keparahan penyakit. Metode yang diterapkan dalam perhitungan tingkat keparahan ini yaitu Metode Fuzzy Inference System Takagi-Sugeno-Kang (Metode Sugeno). Penelitian ini bertujuan untuk mengetahui apakah metode Fuzzy Inference System Takagi-Sugeno-Kang dapat diterapkan pada sistem pakar dalam memberikan diagnosa penyakit gigi. Hasil dari penelitian ini didapatkan tingkat keparahan untuk penyakit Pulpitis Reversibel 38,53%, Pulpitis Irreversibel 59,64%, Periodontitis 69,62%, Periodontitis Akut 51,43%, Gingivitis 45,5%, Perikoronitis Akut 53,93%, Perikoronitis Sub Akut 52,14%, Perikoronitis Kronis 46,05%, Karies Denties Tahap Awal 37,61%, Karies Dentis Menuju Tahap Lanjut 43,89%, Karies Denties Tahap Lanjut 51,76%, Gangren Pulpa 42,5%, Pulpa Polip 56,43%, dan Periostitis 58,55%. Kesimpulan yang didapatkan dari penelitian ini yaitu metode Fuzzy Inference System Takagi-Sugeno-Kang dapat diterapkan pada sistem pakar gigi.
Kata Kunci : Gigi, Sistem Pakar, Sistem Pakar Gigi, Logika Fuzzy, Fuzzy Inference System, Takagi-Sugeno-Kang, Fuzzy Sugeno |
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Universitas Lambung Mangkurat |
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