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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Mantik JURNAL MAHAJANA INFORMASI TRIDARMA: Pengabdian Kepada Masyarakat (PkM) INFOKUM Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Sistem Informasi dan Teknologi Jaringan Jurnal Media Informatika Jurnal Info Sains : Informatika dan Sains DISTANCE: Journal of Data Science, Technology, and Computer Science Jurnal Mandiri IT Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN)
Simangunsong, Agustina
Informatics Engineering Study Program, STMIK Pelita Nusantara Medan
Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation Other

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IMPLEMENTATION OF THE MAMDANI METHOD TO DIAGNOSE EXPERT SYSTEM-BASED DISEASES OF THE MOUTH R. Mahdalena Simanjorang; Agustina Simangunsong
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Development of systems and information technology including expert systems that use facts, techniques and knowledge and reasoning in solving problems. Expert systems that are currently developing are systems that adopt the knowledge of an expert in a particular field. In everyday life we ​​often encounter problems faced by humans, including disease problems that exist in the human body, so we need to consult an expert in the health sector to solve these problems. However, sometimes patients with disease cannot consult an expert due to the large number of patients as well as time and cost issues. In these existing problems, it is necessary to develop a system that can help these patients, namely by developing an expert system model for diagnosing oral disease by utilizing the Mamdani method. The mamdani method will assist in diagnosing the disease.
EXPERT SYSTEM TO DIAGNOSE POLYCYSTIC OVARY SYNDROME (PCOS) USING THE NAÏVE BAYES METHOD Agustina Simangunsong; Petti Indrayati Sijabat; Evi Ningsih Ana Giawa
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of information systems and technology including expert systems that use facts, techniques and knowledge and reasoning in solving problems. The expert system that is currently developing is a system that adopts the knowledge of an expert in a particular field. In everyday life, we often encounter problems faced by humans, including disease problems in the human body, so we need to consult an expert in the health sector to solve these problems. However, sometimes patients with disease cannot consult an expert due to the large number of patients as well as time and cost issues. In light of these existing problems, it is necessary to develop a system that can help these patients, namely by developing an Expert System model for diagnosing Polycystic Ovary Syndrome (PCOS) using the Naïve Bayes method. The Naïve Bayes method will assist in diagnosing the disease.
Co-Authors Adi Ebenezer Silitonga Adli Abdillah Nababan Alwi Syach Awaluddin Andre Edlin Siahaan Britoloni Emanuel Waruwu cepilian erina Dedi Saputra Sihombing Dinda Vionica Zahro Endra A P Marpaung Endra A.P Marpaung Evi Ningsih Ana Giawa Hasanul Fahmi Hasanul Fahmi Hasugian, Penda Sudarto Ilwanda Amer Purba Jaka Edison Simangunsong Jijon Raphita Sagala Juliansen Saragih Lamtiar Purba Marpaung, Preddy Misael F Siahaan Muhammad Bayu Habi Yasa Muhammad Iqbal Novia Vivid Veronika Pasaribu Nurliana Br Saragih Octavia Kartika Br. Sembiring Petti Indrayati Petti Indrayati Petti Indrayati Sijabat R. Magdalena Simanjorang R. Mahdalena Simanjorang Ramli S. Siburian Ravindra Jain Barus Relima Mahdalena Simanjorang Rio Junaidi Panjaitan Selvia Katarina Waruwu Sindi Klodia Sri Rezeki Marbun Tri Benny Febrian Wildha Tilawatil Aulya Purba