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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi DECODE: Jurnal Pendidikan Teknologi Informasi Jurnal Ipteks Terapan : research of applied science and education Jurnal Bangun Abdimas Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat JBSI: Jurnal Bahasa dan Sastra Indonesia
Sri Rezki Maulina Azmi
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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Journal : Building of Informatics, Technology and Science

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Penerapan Metode Certainty Factor Dalam Mendiagnosa Penyakit Kehamilan Berbasis Web Dania Purnawan; Jhonson Efendi Hutagalung; Sri Rezki Maulina Azmi
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2039

Abstract

Diseases or disorders in pregnancy can cause death, especially for pregnant women and babies. This will also affect the infant mortality rate. Diseases that attack a woman's womb cannot be considered trivial and require the intervention of an expert, while an expert for this disease is still rare and certainly requires no small cost. In creating experts (human experts), it takes a relatively long time and costs are not small. One alternative effort to overcome this need is to create a web-based intelligent system. In this study, an expert system will be developed that can be used as a means to carry out early diagnosis of pregnancy diseases. The application of the system is equipped with a certainty factor calculation method that aims to show the level of confidence in the diagnostic results. From the symptoms experienced there is a 20% certainty level and for toxoplasma there are 80% that the patient has gestational anemia.
Penerapan Metode Certainty Factor Pada Sistem Pakar Diagnosa Penyakit Mata Putri Masliana; Yessica Siagian; Sri Rezki Maulina Azmi
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2198

Abstract

Eyes are one part of the body that has an important role in human life. Eyes are often also affected by a disease that causes patients to go blind. Sometimes patients often experience early symptoms of unknown disease as if these symptoms are normal. This is due to lack of information about eye diseases so that patients do not understand the initial symptoms they experience are symptoms of one of the eye diseases that often occur if left untreated for a long time, eye disease will get worse. The diagnostic process requires an expert and experienced expert in order to produce the right diagnosis. However, the limited time that an expert has sometimes becomes an obstacle for patients who will consult to solve a problem to get the best solution. So for that patients need information about the disease, the researchers created a web-based system and contained expert knowledge so that they could answer what eye diseases they experienced. make a diagnosis in order to easily treat the disease. The application designed is a web-based computer system that is integrated with databases and programming languages ​​such as PHP-MySQL so that it can help sufferers to diagnose the symptoms and types of eye diseases. The application of an expert system in making this decision by analyzing data using the Certainty Factor method to generate true and false values ​​on the new and old knowledge bases and comparing them with the weight values ​​in each frame so that the percentage of the disease type is obtained. From the results of the diagnostic process using this application, the system provides a choice of symptoms that must be answered by the patient based on the symptoms experienced by the patient, namely blurred vision such as foggy, seeing circles around light, and often changing the size of the glasses which results in cataract disease by 100% with a total value cf (Certainty) =26
Co-Authors Akmal Akmal Akmal Akmal Anisa Bahari Anita Purba Arrizka Nazmi Sitorus Cecep Maulana DAILAMI Dailami Dailami - Dailami Dailami Dailami Dailami Dania Purnawan Dewi ANGGRAENI Guntur Maha Putra Hambali Hambali Havid Syafwan Helmiah, Fauriatun Herman Saputra Herry Herry Ilham Ramanda Jeperson Hutahaean Jhonson Efendi Hutagalung Krisma Yogi Nopiana Miftah Fadila Mira Tania Muhammad Amin Muthia Dewi Muthia Dewi Muthia Dewi Putri Masliana Refina Kurnia Ramadanti Reza Kurniawan ROBY SETIAWAN Ruri Ashari Dalimunthe Siagian, Yessica Siti Nurkumala Dewi Surya Gusti Tria Purnamika Putri Ulfah Syuhada Nasution Yessica Siagian Zulika Maduri