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All Journal Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Justek : Jurnal Sains Dan Teknologi Jurnal Saintek Lahan Kering Jurnal Informatika Universitas Pamulang Jurnal Nasional Komputasi dan Teknologi Informasi Progresif: Jurnal Ilmiah Komputer Zonasi: Jurnal Sistem Informasi JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) BERNAS: Jurnal Pengabdian Kepada Masyarakat Bakti Cendana: Jurnal Pengabdian Masyarakat Aiti: Jurnal Teknologi Informasi Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Generic Jurnal Restikom : Riset Teknik Informatika dan Komputer Journal Social Science And Technology For Community Service Journal Of Information And Technology Unimor (JITU) Jurnal Sains Teknologi dan Sistem Informasi JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) Adopsi Teknologi dan Sistem Informasi SisInfo : Jurnal Sistem Informasi dan Informatika Majalah Ilmiah METHODA Prosiding Seminar Riset Mahasiswa Journal of Informatics and Computing Jurnal Informasi Ilmu Komputer (JIIK)
Tey Seran, Krisantus Jumarto
Program Studi Teknologi Informasi, Universitas Timor
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Penerapan Metode Forward Chaining dalam Mediagnosis Penyakit pada Ternak Babi Ullu, Hevi Herlina; Tey Seran, Krisantus Jumarto
Jurnal Informatika Universitas Pamulang Vol 10 No 3 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jiup.v10i3.35317

Abstract

The The pig population in North Central Timor (TTU) Regency in 2025 reached 111,704, making pig farming one of the main sources of livelihood for the local community. However, farmers often experience substantial losses due to high livestock mortality rates during disease outbreaks. This situation is largely attributed to the limited knowledge of pig farmers regarding disease symptoms and types, as well as limited access to information on early disease management. This study aims to develop a pig disease diagnostic application capable of identifying disease types based on observable symptoms and providing recommendations for initial treatment and preventive measures. The application was developed using the Rapid Application Development (RAD) method to accelerate system design and implementation. Meanwhile, the Forward Chaining method was applied as a fact-finding technique to infer accurate conclusions regarding disease types based on symptoms. The results of this study include a web-based pig disease diagnostic application that implements symptom tracking using forward chaining, enabling farmers to independently identify pig diseases more quickly and accurately. The developed application is expected to help reduce pig mortality rates and improve the efficiency of livestock production, particularly pig farming in TTU Regency.
Co-Authors Abi, Maria Oktavian Achmad, Fariz Amsikan, Dionisius K. Anastasia Kadek Dety Lestari Bana, Yoseph Arianto Banusu, Lusitania Baso, Budiman Bertha Virginia Rusae Blegur, Willem Amu Chrisinta, Debora Da Conceicao, Fedelia Da Dewi Kristiani Asuat Dionisius K. Amsikan Fallo, Kristoforus Fetronela Rambu Bobu Fried Markus Allung Blegur Gelu, Leonard Peter Isto, Kristoforus Boik Tani'i Knaofmone, Maria Letitia Kristoforus Fallo Lake, Delviana Leonard Peter Gellu Mammi Sarlota Bana Margaretha Baria Maria Grestiana Sani Maria Ilona Silab Marjeni Liana Nino Martins, Alfiana Fontes Matute, Alejandro Jr. V. Mau, Lidia Marselina Mirja Hoar Moensaku, Emanuel Nababan, Darsono Nahak, Agustinus Yasvin Nahak, Maria Selviyanti H Nahak, Roswita R.K. Natalia Karmila Ketmoen nggadas, carles Nikolas Abi Nurliah Apryanti Oktavianus Klau Lekik Patricia Gertrudis Manek Risald Sae, Ina Rai Salu, Yoana Fransiska De Cantal Sesfao, Yusmiati Farida severinus ponis Spanyoli Muriano Fuel Stefanus Lau Manek Taitoh, Rosalinda Hoar Ullu, Hevi Herlina Ullu, Hevi Herlina Usnaat, Sonya Oktavia Victoria Nova Naiheli Willem Amu Blegur Willem Amu Blegur Yasinta O.L Rema Yoseph Pius Kurniawan Kelen Yuliana A.T Naitkakin Yulsiani Sanam