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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Mantik Penusa JurTI (JURNAL TEKNOLOGI INFORMASI) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Building of Informatics, Technology and Science JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi Bulletin of Computer Science Research Journal of Social Responsibility Projects by Higher Education Forum J-Com (Journal of Computer) Jurnal IPTEK Bagi Masyarakat Jurnal Ipteks Terapan : research of applied science and education Aptekmas : Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Zadama: Jurnal Pengabdian Masyarakat Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Yessica Siagian
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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Journal : Building of Informatics, Technology and Science

 1 
Sistem Pakar Untuk Diagnosa Penyakit Sapi Menggunakan Metode Bayes Putri Eka Wardani; Yessica Siagian; MHD Ihsan
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.v4i2.2197

Abstract

Cow disease can attack animals, both young and adult, in this case it is necessary to do a quick diagnosis to provide basic knowledge about cow disease. Advances in expert systems can overcome this problem, namely by designing a web-based computer system that is integrated with databases and programming languages ​​such as PHP-MySQL so that it can help farmers to diagnose cattle disease. The purpose of this research is to build an expert system for diagnosing cow disease based on web. The application of the expert system in this decision making uses the Bayes method, in probability theory and statistics, the Bayes theorem is a theorem with two different interpretations. In Bayes' interpretation, this theorem states that one of the decision-making methods, this method was developed to solve decision-making problems by determining the probability value of the event and the value of evidence obtained from the facts about the object under study. What kind of cow did he experience in order to get a solution with treatment. From the results of testing and implementation of this expert system, it has been able to produce Brucellosis (Transmitted Keluron) disease with a weight = 2 which is higher than the weight of other cattle diseases
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 Abdul Karim Abdul Karim Abdul Karim Syahputra Afdhal Syafnur Arridha Zikra Syah Citra Novianti Desma Erica Maryati Manik Dwi Agus Wita Edi Kurniawan Emi Okta Purwita Sari Fifto Nugroho Guntur Maha Putra Hommy Dorthy Ellyany Sinaga Jeperson Hutahaean Kifti, Wan Mariatul Kraugusteeliana Kraugusteeliana Mhd. Ihsan Muhammad Amin Muhammad Ardiansyah Sembiring Muhazir, Ahmad Neny Mulyani Norenta sitohang Novica Irawati Novita Sari Sitorus Nurul Azura Pristiyanilicia Putri Putri Eka Wardani Putri Masliana Rika Nofitri Rizaldi Rizaldi Rohminatin Rohminatin Romy Aulia Roslidar safrian aswati Sahren Saludin Muis Sri Rezki Maulina Azmi Syahrial Tasyia Dita Aulia Widia Lestari William Ramdhan Yulia Safitri Yunita Yuwaldi Away Zuhairoh Zuhairoh Zulfi Azhar