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Journal : International Journal of Advances in Intelligent Informatics

Imputation of missing microclimate data of coffee-pine agroforestry with machine learning Nurwarsito, Heru; Suprayogo, Didik; Sakti, Setyawan Purnomo; Prayogo, Cahyo; Yudistira, Novanto; Fauzi, Muhammad Rifqi; Oakley, Simon; Mahmudy, Wayan Firdaus
International Journal of Advances in Intelligent Informatics Vol 10, No 1 (2024): February 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v10i1.1439

Abstract

This research presents a comprehensive analysis of various imputation methods for addressing missing microclimate data in the context of coffee-pine agroforestry land in UB Forest. Utilizing Big data and Machine learning methods, the research evaluates the effectiveness of imputation missing microclimate data with Interpolation, Shifted Interpolation, K-Nearest Neighbors (KNN), and Linear Regression methods across multiple time frames - 6 hours, daily, weekly, and monthly. The performance of these methods is meticulously assessed using four key evaluation metrics Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). The results indicate that Linear Regression consistently outperforms other methods across all time frames, demonstrating the lowest error rates in terms of MAE, MSE, RMSE, and MAPE. This finding underscores the robustness and precision of Linear Regression in handling the variability inherent in microclimate data within agroforestry systems. The research highlights the critical role of accurate data imputation in agroforestry research and points towards the potential of machine learning techniques in advancing environmental data analysis. The insights gained from this research contribute significantly to the field of environmental science, offering a reliable methodological approach for enhancing the accuracy of microclimate models in agroforestry, thereby facilitating informed decision-making for sustainable ecosystem management.
Co-Authors A.A. Ketut Agung Cahyawan W Adaby, Resnu Wahyu Aji Prasetya Wibawa Anita Nur Khoiriyah Azis, Novrianty Rizqi Budi Prasetya Chesly Kit Kobua Daljit Singh Karam Danny Dwi Saputra Degi Harja Asmara Delma Aida Syavitri Didik Suprayogo Eka Zainul Hasan Syahfinada Putra Ellis Nihayati Elmi Junita Tarigan Fauzi, Muhammad Rifqi Fitra, Ahmad Ali Yuddin Gabryna Auliya Nugroho Haidar Fari Aditya Herianto Herianto Heru Nurwarsito Ishaq, Rizqi Maulana Izzuddin Al Qassam Kurniatun Hairiah Kurniawan Sigit Wicaksono, Kurniawan Sigit Kusumawati, Irma Ardi Mahayu Woro Lestari Mardiani, Mila Oktavia Mochtar Lutfi Rayes Muhammad Ihsan Nihayati, Ellis Noegraha Sholehuddin Novanto Yudistira Novi Arfarita Nugroho, Gabryna Auliya Nurul Istiqomah Nurul Istiqomah Oakley, Simon Pitaloka, Dyah Prastyaji, Dimas Purnamasari, Eka Puspitasari, Arinta Rury RATNA SARI, RIKA Retno Anggraini Retno Suntari Rika Ratna Sari Rina Rachmawati Rizki Maulana Ishaq Rohani, Rosesita Tri Suci Rosalynda, Eka Novia Sandi Gunawan Sanindya Rivaliati Saputra, Danny Dwi Seca Gandaseca Setianingsih, Titin Eka Setyawan P. Sakti Setyawan Purnomo Sakti Silvi, Eva Amalia Subekti Rahayu Sudiarso Sudiarso Syahrul Kurniawan Takaya Higuchi Tanya Naomi Indarto Tanya Naomi Indarto Tommy Triady Ginting Tsuyoshi Imai Ustiatik, Reni Virgus Amien Nugroho Virgus Amien Nugroho Virgus Amin Nugroho W Widianto Wayan Firdaus Mahmudy Widianto Widianto Wulandari, Diah Kartika Wuri Nastiti Ying-Tzy Jou Yu-Min Wang Yu-Ting Weng Yudo Tyasmoro, Setyono Yulia Nuraini Zaenal Kusuma Zaenal Kusuma