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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JURNAL SISTEM INFORMASI BISNIS JSM (Jurnal SIFO Mikroskil) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi Informasi dan Ilmu Komputer JOIV : International Journal on Informatics Visualization Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer International Journal of Computing and Informatics (IJCANDI) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Query : Jurnal Sistem Informasi Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) Jurnal Pengabdian Masyarakat Asia Adopsi Teknologi dan Sistem Informasi Jurnal INFOTEL Kreatif Teknologi dan SIstem Informasi
Septya Maharani, Septya
Universitas Mulawarman Samarinda
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mathematics Other

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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
APLIKASI DIAGNOSA GEJALA DEMAM PADA BALITA MENGGUNAKAN METODE CERTAINTY FACTOR (CF) DAN JARINGAN SYARAF TIRUAN (JST) Maharani, Septya; Adi, Kusworo; Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 1 (2013): Volume 3 Nomor 1 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1163.989 KB) | DOI: 10.21456/vol3iss1pp25-29

Abstract

Symptoms of fever of toddlers have a devastating effect if too late to get treatment is not appropriate, to make it easier for parents to detect the type of disease, it is necessary to build an expert system application detection of disease symptoms of fever in children for early detection of disease. Knowledge base is implemented as a basis for expert system applications by using a combination of certainty factors (certainty factor) and ANN (artificial neural networks). Methods This study is a combination of CF as CF is the rule and the results will form a pattern which is a merger of the ANN clinical parameter that indicates the amount of trust as the knowledge base of disease diagnosis of fever in children 10 to 40 symptoms, the system uses a total of 40 symptoms as a medic training data with records of 20 patients. From the results of such testing, the application has been concluded at 86.67% accuracy rate.   Keywords: fever, expert systems, Certainty Factor, Neural Networks
Co-Authors Abdul Rasyid Addy Suyatno Addy Suyatno, Addy Aji Sasongko Alda Novianty Alfadita Shany Amriani, Nilda Arham, Zulvika Anisa Ariani, Riska Ariel Caturputra Kalew Arifin, Zainal Arini Wijayanti Aris Sugiharto Arsuwendi, Arsuwendi Atik Tia Nalarwati Atik Tia Nalarwati, Atik Tia Awang Harsa K Awang Harsa Kridalaksana Awang, Kevin Aditya Agusto Bayu Abdiar Rahman Bilung, Marten Biyondi Kurniawan Dea Cahyaningrum Indra Astuti Dedy Cahyadi, Dedy Dio Ivando Dio Ivando, Dio Dyna Marisa Khairin Dyna Marisa Khairina Eko Junirianto Fahrul Agus Fahrul Agus Fahrul Agus Firdha Ayu Selvyani Firdha Ayu Selvyani, Firdha Ayu Gracela Novrilianti Gusva Pratama Hairunnisa Hairunnisa Hatta, Heliza Rahmania Heliza Rahmania Hatta, Heliza Rahmania Hermawati, Shinta Holis Ridwanto Ibrahim, Muhammad Rivani Indah Fitri Astuti Indah Fitri Astuti, Indah Fitri Kalew, Ariel Caturputra Kamila, Vina Zahrotun Khairina, Marisa Kusworo Adi Laden, Delfan Rynaldo Malik Annisa Maula, Ismiatul Miftah Fauzan Rahadian Muhammad Riswan Nasution, Ali Napiah Novianty, Alda Novrilianti , Gracela Nur Aisyah Persyadha, Swadika Ibnu Pramukti, Indra Cahya Pratama, Gusva Putut Pamilih Widagdo Rachman, Abizar Rahman, Bayu Abdiar Ramadiani - Riswan, Muhammad Rizka Khairunnisa Rizky Fitriani Kemala Salu, Paschal Wijaya Shabrina Shabrina Shapanara, Rhenaldi Octa Sunarto, Suhaera Syahputra, Oktavian Yoga Syahril Syahril Wardatul Jannah Yodisya, Raihan Yulius Daniel Zainal Arifin Zainal Arifin