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All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmu Komputer dan Agri-Informatika Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Petir Jurnal Ilmu Komputer dan Bisnis Indonesian Journal of Multidisciplinary Science Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Journal of Applied Agricultural Science and Technology Journal of Internet and Software Engineering Journal of Technology and System Information Scientific Journal of Informatics
Shelvie Nidya Neyman
Department Of Computer Science, IPB University, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Veterinary

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Journal : JOIV : International Journal on Informatics Visualization

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A Novel Approach for Bali Cattle Classification: Integrating the Fuzzy Inference System with Certainty Factor and Morphometric Parameters Arnaldy, Defiana; Seminar, Kudang Boro; Neyman, Shelvie Nidya; Sukoco, Heru; Muladno, -
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3218

Abstract

Enhancing the productivity and quality of Balinese cattle is a crucial goal for improving livestock management practices in Indonesia. Traditional evaluation methods used by farmers are often subjective and inconsistent, leading to inaccuracies in cattle classification and limiting the effectiveness of breeding and selection processes. To address these challenges, this study proposes a Fuzzy Inference System with Certainty Factor (FIS-CF) to improve cattle classification by providing more objective and reliable grading criteria. The model utilizes key physical parameters, including shoulder height, body length, and chest circumference, as input features to categorize cattle into three quality classes. A diverse dataset was collected from the People's Animal Husbandry School (SPR) and various farms across Indonesia to evaluate the model's performance. The FIS-CF model achieved a classification accuracy of 95.93% and a balanced accuracy of 96.20%, outperforming traditional methods that rely on subjective assessment. These results demonstrate that the proposed model provides a consistent, scalable, and data-driven solution for livestock classification, helping farmers make more informed decisions in cattle selection and breeding. Additionally, the model addresses key limitations of current practices by reducing reliance on manual evaluations, which often vary between assessors. The findings highlight the potential for wider adoption of the FIS-CF model across the livestock sector to improve productivity and streamline herd management processes. Future research will aim to refine the model further by incorporating additional parameters, such as age and weight, and expanding its validation to larger datasets covering different cattle breeds and farming environments to ensure broader applicability in sustainable livestock management.
Co-Authors A'isy, Nabil Arif Adi, Divo Wibowo Adzimi, Sista Naelly Affriza Brilyan Relo Pambudi Agus Putra Ahmad Rizaqu Muttaqi Al Habsy, Muhamad Alexandi, Muhammad Findi Alfasih, Hafiz Agi Alghifari, Muhammad Ali Djamhuri Ali Imran Alita Wulan Dini Ansyafa, Khairunnissa Zahran Athallah, Zaki Rafi Benhard Sitohang Defiana Arnaldy Eliyah Acantha Manapa Sampetoding Erydhani, Gama Batara Ezer, Angga Eben Fadhil, Muhamad Fajarudin, Muhammad Febrika Ardy, Lutfi Aziz Halim, Kevin Viriya Harahap, Handika Saputra Hartono Wijaya, Sony Hendra Rahmawan Hendra Rahmawan Herawan, Yoga Heru Sukoco Hesmi Aria Yanti I Nyoman Prama Pradnyana Imaduddin, Zaki Imas Sukaesih Sitanggang Irawan, Ferdiansyah Irman Hermadi Istiqomah, Iklima Kudang Boro Seminar Kurniawan, Hafiz Abdul Fatah Lindayati Lindayati Lindayati Lindayati Lubis, Mohammad Hafiz Fachrezi Luki Abdullah Manurung, Cindy Arditha Claudia Marimin Marimin Mayangkara, Mahatmadi Ariq mufti, abdul Muhamad Syukur Muhammad Fikri Isnaini Muladno - Nugroho, Arga Agung Pohan, Muhammad Reza Zulva Rahman, Allegra Alif Ramadhan, Fauzan Naufal Gibran Ruswandi, Keinanjung Safitrah, Tiara Setiawan, Aep Sinaga, Antonio Banggas Gregory Sipahutar, Luat Paska Sitorus, David Zico Rafael Sri Nurdiati Sugi Guritman Suraswati, Indah Tambunan, Muhammad Rafid Habibi Toto Haryanto Verry Riyanto Wahjuni, Sri Wijaya, Sony H Yan Mitha Djaksana Yanto, Nur Witdi