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All Journal Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal Sisfokom (Sistem Informasi dan Komputer) RESEARCH : Computer, Information System & Technology Management Buletin Ilmiah Sarjana Teknik Elektro Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Joutica : Journal of Informatic Unisla Nusantara of Engineering (NOE) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi)
Made Ayu Dusea Widyadara - Universitas Nusantara Kediri, Made Ayu Dusea Widyadara
Teknik Informatika, Fakultas Teknik, Universitas Nusantara PGRI Kediri
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Transportation

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Journal : Nusantara of Engineering (NOE)

 1 
Implementasi Metode Dempster Shafer Untuk Mendiagnosa Penyakit Mulut Dan Kuku (PMK) Berbasis Web Oktafiyan Pratama, Yana; Farida, Intan Nur; Dara, Made Ayu Dusea Widya
Nusantara of Engineering (NOE) Vol 7 No 1 (2024): Volume 7 No. 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v7i01.20540

Abstract

Foot and mouth disease commonly known as PMK is a class of disease outbreaks that attack ruminant livestock. This virus outbreak is very bad impact among breeders. As a result of the outbreak, breeders experienced a lot of losses, both financially and in time to raise their livestock. Therefore, with the creation of a foot and mouth disease diagnostic system, it is hoped that it can help cattle breeders to deal with cows that have contracted the virus. In solving this problem the system adopts the dempster shafer method. The system can be accessed online via the internet. From the symptoms entered, the system can generate the type of disease and how to handle it.
Sistem Pakar Berbasis Web untuk Diagnosa Penyakit pada Kucing Persia Medium: Sistem Pakar Berbasis Web untuk Diagnosa Penyakit pada Kucing Persia Medium Zidane Chesa Wardana; Farida, Intan Nur; Dara, Made Ayu Dusea Widya
Nusantara of Engineering (NOE) Vol 6 No 2 (2023): Volume 6 No 2 Tahun 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v6i2.20522

Abstract

This research creates a web-based expert system that uses the Bayes method for diagnosing disease in Persian Medium cats. This system offers a cheaper and more effective solution for cat owners to get an early diagnosis of disease without having to go to expensive veterinary clinics. The results of calculations using the Naive Bayes method show that the largest posterior value P(P2|G2|G7|G11) is 0.0093, which is then normalized to 100%, indicating that the cat in this case may have hair ball disease. Thus, it can be concluded that the cat in this case has hair ball disease. Persian Medium cat owners can use this expert system to diagnose their cat's disease more cheaply and effectively.
Co-Authors - Universitas Nusantara PGRI Kediri, Mochamad Bilal - Universitas Nusantara PGRI Kediri, Roni Heri Irawan Abraham Dimas Bayu Aji Adiba, Fera Hidayatul Agus Muji Santoso Ahmad Bagus Setiawan Albab, Moh. Febby Ulil Alfian, Ahmad Ade Alfiana Hidayati Angga Yuanisyak Anik Nur Handayani Anisa Fatimatul Firdhausi Ansah, Muhammad Ardy Ardiansyah, Ryo Bella Putri Damayanti Daniel Swanjaya Dwi Lianawati Efendi, Ahmad Rizal Efendy, Wahyu Febri Nurcahyo Dwiyantoko Frans Rega Agista Hana Agustina Hanif Al Fatta - STMIK AMIKOM Yogyakarta Heru Wahyu Herwanto Intan Nur Farida Irma Setiawan Kusuma Islamiati Rachmah Iswoyo, Dio Dwi Julian Sahertian Julianto, Bagas Mahdiyah, Umi Mahendra, Rizqi Maulana Muhamad Sholafudin Mukhammad Annafinurika Mulya, Marga Asta Jaya Mulyo, Nando Rahmat Prasetyo Nia Talia Salsabela D.M. Oktafiyan Pratama, Yana Patmi Kasih Prakosa, Bryan Rizqi Prastyo, Agung Wahyu Rahman, Dedi Arif Risa Helilintar Roni Heri Irawan Seftania, Putri Derisa Adilla Dewi Setyawan, Moch Aris Siregar, Muhammad Fauzan Hardiansyah Sugianto, Hanania Oki Kurnia Vingki Dewi Aristina Violyna Sofiananda Wardani , Rama Yuda Wisnugraha, Wahyu Surya Yu, Tony Zidane Chesa Wardana