Article Per Year (5 Year)
p-Index From 2021 - 2026
1.235
P-Index
This Author published in this journals
All Journal Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) PROtek : Jurnal Ilmiah Teknik Elektro DoubleClick : Journal of Computer and Information Technology E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat (JURDIMAS) DIPANEGARA KOMPUTER TEKNOLOGI INFORMATIKA (DIPAKOMTI) Journal of Information Technology and its Utilization
Nurlindasari Tamsir
Universitas Dipa Makassar
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Public Health Social Sciences

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Information Technology and its Utilization

 1 
ALGORITHM C4.5 IN CLASSIFYING HEALTH OF CAT NURLINDASARI TAMSIR
Journal of Information Technology and Its Utilization Vol 4 No 2 (2021)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.4.2.4410

Abstract

One of the activities in the TIU (Technical Implementing Unit) of Office of Animal Husbandry and Animal Health is to carry out the examination of pet health, record and issue an Animal Health Certificate (AHC). The object in this research was cat, where the examination was still performed by laboratory test, using paper as a form of diagnosis carried out by a vet and not using the technology. Therefore, an application to provide decision in determining healthy cat that also implements the algorithm C4.5 based on android system was designed. This system was able to perform diagnosis of cat diseases quickly based on previous medical record, with a training history (training data) as many as 44 cases. Then the classification process would strengthen the results of cat disease diagnosis such as how to deal with disease that had similar symptoms so as to facilitate the Office of Animal Husbandry and Animal Health, as a comparison to issue an Animal Health Certificate. Based on the Black Box testing, the functionality of the module was in accordance with the needs of the system, while the accuracy testing generated the percentage value of 93.18%. This shows that the algorithm C4.5 has a good accuracy to determine healthy cat.
Co-Authors Annah Annah, Annah Asmah Akhriana Asrul Syam Asrul Syam Asrul Syam Cucut Susanto Hasriani Hasriani Herlinda Herlinda Husain T Irsal Irsal Marsa Marsa Muh. Syahlan Natsir Muhammad Agus Muljanto Nirwana Nirwana Nurdiansah Rauf, Abdul Rifka Amelina Rismayani Rismayani St. Amina H. Umar St. Amina H.Umar Suryani Suryani Thabrani R Vivi Rosida Zulhi Jaya