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Journal : joiv international journal on informatics visualization

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 Agus Buono Ahmad Fauzan 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 Daffa Ardyana Eka Putra Defiana Arnaldy Defiana Arnaldy DEWI APRI ASTUTI Eliyah Acantha Manapa Sampetoding Erydhani, Gama Batara Ezer, Angga Eben Fadhil, Muhamad Fajarudin, Muhammad Fathonah, Lathifunnisa Febrika Ardy, Lutfi Aziz Gema Parasti Mindara Halim, Kevin Viriya Harahap, Handika Saputra Harry Dhika Hartono Wijaya, Sony Hendra Rahmawan Hendra Rahmawan Herawan, Yoga Heru Sukoco Hesmi Aria Yanti Hilmy Abidzar Tawakal I Nyoman Prama Pradnyana Imas Sukaesih Sitanggang Inna Novianty Irawan, Ferdiansyah Irman Hermadi Istiqomah, Iklima Karlisa Priandana Kudang Boro Seminar Kurniawan, Hafiz Abdul Fatah Lindayati Lindayati Lindayati Lindayati Lubis, Mohammad Hafiz Fachrezi Luki Abdullah Manurung, Cindy Arditha Claudia Marcelita, Faldiena Marimin Marimin Mayangkara, Mahatmadi Ariq mufti, abdul Muhamad Syukur Muhammad Fadhil Al Faruq Muhammad Faza Elrahman Muhammad Fikri Isnaini Muladno - Nugroho, Arga Agung Pohan, Muhammad Reza Zulva Radyanka Irza Pramono Rahman, Allegra Alif Ramadhan, Fauzan Naufal Gibran Raqhim Putra Al Rusdi Ruswandi, Keinanjung Safitrah, Tiara Setiawan, Aep Sinaga, Antonio Banggas Gregory Sipahutar, Luat Paska Sitorus, David Zico Rafael Sony Hartono Wijaya Sri Nurdiati Sri Wahjuni Sugi Guritman Suraswati, Indah Tambunan, Muhammad Rafid Habibi Toto Haryanto Utama, Muhammad Jaka Verry Riyanto Wahjuni, Sri Wijaya, Sony H Yan Mitha Djaksana Yanto, Nur Witdi Yohannes Aris Purwanto Zaki Imaduddin Zulvian Hardhan