Early Diagnosis of Dental Caries Using Fuzzy Inference The Sugeno Method System
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Published:
Nov 25, 2020
Keywords:
Diagnosis, Fuzzy Sugeno, Caries, Expert System
Section
Computer Science
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Abstract
Many are not aware of the dangers of oral health, especially dental caries. In 2018 the proportion of dental caries in Indonesia was 45.3%, according to the results of the Basic Health Research (RISKESDAS). Until now, dental health services have not reached the middle and lower class of society due to the very high cost. One way to make it easier for the public to recognize the disease's characteristics and diagnose dental caries as early as possible is to make an expert system application. The system in this application is made using the Sugeno fuzzy method. System testing yields an accuracy of 93%.
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How to Cite
Putri, W. A., Triayudi, A. . and Solihati, I. D. (2020) “Early Diagnosis of Dental Caries Using Fuzzy Inference The Sugeno Method System”, Jurnal Mantik, 4(3), pp. 2071-2079. doi: 10.35335/mantik.Vol4.2020.1080.pp2071-2079.
References
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[4] Didik Budijanto, Rudy Kurniawan, Winne Winne Widiantini, Eka Satriani Sakti, Dian Mulya, “InfoDATIN KEMENKES-ISSN 2442-7659, 2019.
[5] Lelly Andayasari, Iin Nurlinawati, Soraya Maulia, "The Relationship Between Tooth Brushing Behavior and Dental Caries in Children in Bandung ", Advances in Health Sciences Research, volume 22. 2019.
[6] Indry Worotitjan, Charisty N. Mintjelungan dan Paulina Gunawan, “ Pengalaman Karies Gigi Serta Pola Makan dan Minum Pada Anak Sekolah Dasar Di Desa Kiawa Kecamatan Kawangkoan Utara, Universitas Samratulangi
[7] Sri Mulyanti, Dewi Sodja Laela, Euis Julaeha, Anne Agustina Suwargiani, Dudi Aripin, "Formulation of mouth rinse from the essential oils of lime (Citrus aurantifolia) and its inhibitory efficacy on the growth of Streptococcus mutans – in vitro", Padjadjaran Journal of Dentistry. 2020;32(1):39-47.
[8] Uun Uniati Melinda and Djoko Priyanto, "Hubungan Antara Paparan Asap Dengan Kejadian Karies Gigi (Studi Pada Pekerja Pengasapan Ikan Di Desa Bandaharjo, Kota Semarang, Jawa Tengah)," Jurnal Media Medika Muda, vol. 4, pp. 59 - 65, Januari 2015.
[9] Agus Iskandar dan Agung Triayudi, “ Early Diagnosis of Sinusitis Using Expert System Methods”, Universitas Nasional Jakarta, Jurnal Mantik Volume 4, Number 2, Aug 2020,pp.1231- 1236 E-ISSN 2685-4236.
[10] Fariz Aziz Khaerulah dan Aripin, “ Sistem Pakar Diagnosa Penyakit Karies Gigi Menggunakan Metode Fuzzy Mamdani”, Teknik Informatika, Fakultas Ilmu Komputer, Universitas Dian Nuswantoro. Semarang.
[11] Fariz Aziz Khaerulah dan Aripin, “ Sistem Pakar Diagnosa Penyakit Karies Gigi Menggunakan Metode Fuzzy Mamdani”, Teknik Informatika, Fakultas Ilmu Komputer, Universitas Dian Nuswantoro. Semarang.
[12] Sitti Mansyur dan Sri Har. “Sistem Pakar Penyakit Karies Gigi Menggunakan Fuzzy Inference System dengan metode Tsukamoto”, Fakultas Ilmu Computer, FIK-Makassar, Jamuari 2015.
[13] Lucy meiliana dan Seng Hansun.” SISTEM DETEKSI DINI PENAKIT MULUT DAN GIGI DENGAN METODE FUZZY MULTI CRITERIA DECISION MAKING” IPTEK KOM, VOL 18 No.2, Desember 2016:98-112.
[14] Ardy Oetomo, M Irwan Ukkas, Ita Afryanti, "SISTEM PAKAR MENDIAGNOSA PENYAKIT GIGI DAN MULUT MENGGUNAKAN METODE TSUKAMOTO", Jurusan Informatika STMIK Samarinda.
[15] Lutfi Selisa Setiawati, Irwan Budiman dan Oni Soesanto, “penerapan Fuzzy Inference System Takagi-Sugeno-Kang pada system pakar diagnose penyakit gigi”, Kumpulan jurnal ilmu computer (KLIK) VOLUME 04, No.01 Februari 2016 ISSN:2406-7857.
[16] Lutfi Selisa Setiawati, Irwan Budiman dan Oni Soesanto, “penerapan Fuzzy Inference System Takagi-Sugeno-Kang pada system pakar diagnose penyakit gigi”, Kumpulan jurnal ilmu computer (KLIK) VOLUME 04, No.01 Februari 2016 ISSN: 2406-7857.
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