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All Journal PROSIDING SEMINAR NASIONAL Jurnal Statistika Universitas Muhammadiyah Semarang Value Added: Majalah Ekonomi & Bisnis Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Knowledge Engineering and Data Science BAREKENG: Jurnal Ilmu Matematika dan Terapan JITK (Jurnal Ilmu Pengetahuan dan Komputer) JTAM (Jurnal Teori dan Aplikasi Matematika) Variance : Journal of Statistics and Its Applications Abdimas UNWAHAS : Jurnal Pengabdian Masyarakat UNWAHAS Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Litbang Edusaintech Parameter: Journal of Statistics Prosiding Seminar Nasional Official Statistics Journal of Data Insights Prosiding Seminar Nasional Unimus Parameter: Jurnal Matematika, Statistika dan Terapannya Jurnal Meteorologi dan Geofisika LogicLink: Journal of Artificial Intelligence and Multimedia in Informatics Emerging Statistics and Data Science Journal JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia)
Fauzi, Fatkhurokhman
Program Studi Statistika, Universitas Muhammadiyah Semarang
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation

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From Data to Insight: A Machine Learning Approach in Classifying Dairy Cow Productivity Level and Identifying Important Influencing Variables Fauzi, Fatkhurokhman; Fauzan, Achmad; Widiyanto, Rhendy K P; Notodiputro, Khairil Anwar; Sartono, Bagus
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

Identifying influential predictor variables is crucial for enhancing model interpretability in supervised classification. This study applies Permutation Variable Importance (PVI), a model-agnostic approach, to evaluate variable relevance after model fitting. Using data from the 2024 Indonesia Dairy Cow Productivity Survey, this research investigates five classification techniques: (1) Support Vector Machine (SVM), (2) Neural Network (NN), (3) k-Nearest Neighbors (kNN), (4) Naïve Bayes Classifier (NB), and (5) Logistic Regression (LR), to identify which method(s) yield the best performance based on evaluation metrics such as accuracy, sensitivity, and specificity. PVI is employed to identify the most influential predictor variables within the best-performing classification method. The novelty of this study lies in integrating model-agnostic interpretability with multiple supervised classifiers to generate transparent, data-driven insights into dairy productivity determinants. Results indicate that the top-performing methods, SVM and NN, achieved predictive accuracies ranging from 70% to 89%. Specifically, the SVM model achieved an accuracy of 0.799, a precision of 0.845, and an F1-score of 0.795, while the NN model obtained an accuracy of 0.786, a precision of 0.806, and an F1-score of 0.791. A permutational multivariate analysis of variance (PERMANOVA) on evaluation metrics revealed no statistically significant difference between the two methods. By applying PVI, nine key variables were consistently highlighted by both models as significant predictors for classifying dairy cow productivity levels (e.g., high vs. low yield) in Indonesia. These variables include farm altitude, the numbers of dairy heifers, lactating cows, and dry cows, the average duration of lactation and dry periods per cow annually, the daily amounts of forage, concentrate, and agricultural by-product feed provided per cow. These findings not only enhance model interpretability but also offer practical guidance for farm-level decision-making, the development of data-driven decision support systems, and the design of targeted policy interventions to improve dairy productivity in Indonesia, demonstrating the real-world applicability of machine-learning-based insights to strengthen dairy farm performance.
Co-Authors - Tarsan Achmad Fauzan Achmad Fauzan, Achmad Agata Dwi Putri Putri Agung Subakti Nuzulullail Ahmad Amrullah B Alfidha Rahmah Alfidha Rahmah Alifia Puspita Sari Alwan Fadlurohman Amaliah Sholeha Arafat Amri, Saeful Amrullah, Setiawan Ana, Nisfatun Nurul Angelina, Lea Anggun Erya Santika Anisa Ma'u Luthfi Anita Retno Indriani Aprilla Anawai Basman Ardelita Ika Fadhlillah Ardiansyah, Muhammad Rifqy Aulia, Syifa Azizah, Apipah Nur Bagus Sartono Barlian, Seftia Amelia Rizki Budiono Rahman Burhanuddin Izzul Salam Choirunnisa Hasna Nisa Chumairoh, Kamilah Citra Dannu Purwanto Dewi Ratnasari Wijaya Dwi Agustina Eko Yuliyanto, Eko Eny Winaryati Erika Siva Aulia Erlinda, Relly Fabiola, Gwenda Fadillah, Muhammad Reza Fatikha Adha Fahreza Fauziah Rahma Gabriella Hilary Wenur Hanif Nur Ibrahim Haris, M Al Haris, M. Al Hasbi Assidiqi Iis Widya Harmoko Iis Widya Harmoko Iis Widya Harmoko, Iis Widya Indah Manfaati Nur Indah Manfaati Nur Indra Firmansyah Iqbal Kharisudin Izzah, Nasyiatul Junaidi, Muhammad Rifki Khansa' Ni'mal 'Abidah Khikman, Muhammad Alvaro Laila Khoirun Nisa Lestari, Febi Anggun Lia Aryanti Sholekhah Litasya Shofwatillah Lydia Nur Sa'adah M. Al Haris Moh Yamin Darsyah Moh. Yamin Darsyah Multiyaningrum, Riska Nida Faoziatun Khusna Nida Faoziatun Khusna Ninu, Maria Febronia Nugrahanto, Rifqi Oktavia Sri Banowati Pandiriyan, Muhammad Tegar Permatasari, Shella Heidy Prizka Rismawati Arum Putra, Septian Malik Putri Ayu Firnanda Putri, Dinda Meyda Putri, Melfia Verahma Qonita Syalsabilla Handayani Rahma Nurmalita Rahmah, Alfidha Rahman, Budiono Rahmawati, Gita Ramadhan, Abimanyu Arya Rhendy K P Widiyanto Rizma Novinda Puteri Rochdi Wasono RR. Ella Evrita Hestiandari Safril Ahmadi Sanmas Safril Ahmadi Sanmas Salmaa Fauziah Sam'an, Muhammad Sanmas, Safril Ahmadi Sarah, Albertus Dion Septi Winda Utami Setiayani, Wiwik Shinta Amaria Shinta Amaria Soffi Amalia Nur Kholifah Syafira, Elsa Izza Syaharani, Nabbila Dyah Syahrani, Nabbila Dyah Syaifullah, Ahmad Reyhan Syifa Aulia Syifa Aulia Tari Fitri Ningsih Tiani Wahu Utami Tiani Wahyu Utami Watur, Annisa Cahyaningrum Widiyanti, Karin Dita Widiyanto, Rhendy K P Wiwit Putri Nur Izzaturrohmah Wulan Sari, Wulan Yan Nazala Bisoumi Yan Nazala Bisoumi Yuliardi, Fahrul Raditiar Yuni Nurkuntari