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All Journal Jurnal Informasi dan Teknologi Journal of Computer Scine and Information Technology Jurnal Sistim Informasi dan Teknologi

S Sumijan

Universitas Putra Indonesia YPTK Padang

Author-ID : 2760814

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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Sistem Pakar dalam Mengidentifikasi Gejala Stroke Menggunakan Metode Naive Bayes Fajri Karim; Gunadi Widi Nurcahyo; S Sumijan
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Stroke is a disease caused by brain damage caused by disruption of the blood supply to the brain. At this time in general, people are still not very familiar with how this stroke disease or do not realize the symptoms that may have appeared from the start. People also tend to be hesitant to visit the hospital to check their symptoms and feel they are delaying further examinations. This is certainly a scourge that continues to make the number of strokes increase. In assisting the community in identifying stroke disease, an expert system is needed that is able to identify the type of stroke based on the symptoms felt. The data used in this study were obtained from Brain Hospital. Dr. Drs. M. Hatta Bukittinggi which was later developed into a website-based system using the PHP Framework Laravel programming language and MySQL as the database. The system is built based on the Naive Bayes method which is one of the Expert System methods that has a high accuracy value. The use of this system is expected to be able to provide knowledge to the public about the symptoms that might lead to what type of stroke the user might suffer, so that the user can use the results of the system as a reference to visit the hospital and immediately get more targeted help. This system can perform calculations that match the results of the doctor's diagnosis with an accuracy value of 100% in identifying the type of stroke from 10 data samples used.

Sistem Pakar dengan Menggunakan Metode Naive Bayes dalam Mengidentifikasi Penyakit Karies pada Gigi Manusia Tio Ramadan Sapto Hari; S Sumijan
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Caries disease in human teeth is a disease that permanently destroys the inner walls of teeth and forms small holes in the teeth. The Indonesian people lack the knowledge to find information and identify tooth decay, which makes many people unaware of the consequences and dangers of this disease. Tooth decay disease is usually caused by three factors. The first factor is teeth and saliva, which are the hosts of microorganisms in the oral cavity. Bacteria and food are the second and third factors. The purpose of this research is to help the public find information about tooth decay, thus forming a branch of artificial intelligence, the expert system. Artificial intelligence is a science that allows you to build computer systems that display intelligence in different ways. An expert system is a computer program or information system that uses some knowledge of an expert. The methods used in this study are the Naive Bayes method and the model's view controller, which are implemented as a database in the PHP Codeigniter framework and MySQL. The data processed in this study is knowledge about the symptoms of dental caries obtained from experts. The test results of this method provide patients with the knowledge necessary to prevent tooth decay, with an accuracy rate of 83.61%. This expert system helps the public to recognize and obtain information about tooth decay. The Expert System can also be used to take the first step in preventing tooth decay

Sistem Pakar dalam Menganalisis Alergi Kulit Manusia dengan Metode Certainty Factor Hafid Dwi Adha; S Sumijan; Gunadi Widi Nurcahyo
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

The skin is human’s outer sense, which servers as protection from bacteria, viruses, and solar flares, and as a sense. Skin may suffer from a variety of factors, one of which is allergies. Human skin allergies result from a pressurized immune system that humans normally react to certain substances, such as food, animal hair, or medicine. In addition to the three factors, a current of society giveslittle attention to skin allergies and lack of care or awareness is a trigger factor. Thus, the aim of this research is to analyze human skin allergies using the Certainty Factor method. By conducting interviews and observations on Rahmatan Lil ‘Alamin Clinic, Padang City, found 10 skin allergic kinds, 27 skin allergic symptoms, and 50 patients data. Those data are treated using the Certainty Factor method with stages to decisive symptom and allergic code, set the rule, set the weight, and calculate Certainty Factor score. In this research, it obtained test results at a percentage of a large 92% and the most allergic diagnosed is allergic dermatitis. By the test results inferable that expert system designed can be used to determine the diagnosis of human skin allergies.

Co-Authors A Alfarisdon Abdi Rahim Damanik Adek Putri Adi Gunawan Andre Agasi Asri Hidayad Ayu Prima Siska Budi Jaya Dina Ayudia Fajri Karim Feri Irawan Gunadi Widi Nurcahyo Hafid Dwi Adha Ilham Roni Yansyah Indra Gunawan Julius Santony K Kadrahman Lc Granadi Suhaidir M Syahputra M. Rasyid Monsya Juansen Mustopa Husein Lubis Nandra Sunaryo Rahmad Dian Rusnedy, Hidayati s Defit S Salmiati Sarjon Defit Surya Aulia Rahman Syaljumairi, Raemon Tio Ramadan Sapto Hari Wardana, Bendra Wendi Boy Widya Febriani Yendi Putra Yosua Ade Pohan Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri Yusma Elda Z Zulvitri

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