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All Journal Journal of Tropical Life Science : International Journal of Theoretical, Experimental, and Applied Life Sciences JTSL (Jurnal Tanah dan Sumberdaya Lahan) Pelita Perkebunan Journal of Degraded and Mining Lands Management Habitat AGRIVITA, Journal of Agricultural Science International Journal of Advances in Intelligent Informatics agriTECH Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Journal of Robotics and Control (JRC) JURNAL GEOGRAFI Geografi dan Pengajarannya Dikmas: Jurnal Pendidikan Masyarakat dan Pengabdian Journal of Applied Agricultural Science and Technology
Didik Suprayogo
Department Of Soil Science, Agriculture Faculty, Brawijaya University, Malang, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Physics Social Sciences Other

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Journal : International Journal of Advances in Intelligent Informatics

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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 Abda Abda Abdul Latief Abadi Adaby, Resnu Wahyu Aditya Nugraha Putra Aditya Nugraha Putra, Aditya Nugraha Adymas Putro Utomo Aida Kurniawati Aji Prasetya Wibawa Anita Kismi Qifli Arifin, Syamsul Azan Asri Bambang Guritno Cahyo Prayogo Cahyo Prayogo, Cahyo Danny Dwi Saputra Dewi, Shendy Citra Oktaviana Dhina Mustikaningrum Dinna Hadi Solikah Dwi Asmono Eka Novia Rosalynda Eko Handayanto Endang Arie Soesilaningsih Endang Ariesoesiloningsih Erekso Hadiwijoyo Erekso Hadiwijoyo Fajriyah, Azizatul Faris Nur Fauzi Athallah Fata, Yulia Amirul Fata, Yulia Amirul Fauzi, Muhammad Rifqi Fitra, Ahmad Ali Yuddin Fitri Wijayanti Gatot Mudjiono Georg Cadisch Hadi, Maruf Heru Nurwarsito Hidayatullah, Rifqi Rahmat Ishaq, Rizqi Maulana Iva Dewi Lestariningsih Iva Dewi Lestariningsih, Iva Dewi Johanna Maria Rotinsulu John Bako Baon Khanza A’maladewi Sudharta Kurniatun Hairiah Kurniawan Sigit Wicaksono, Kurniawan Sigit Lestari, Nina Dwi Luthfi Rayes Markum Meine Van Noordwijk Niken Puspita Sari Nina Dwi Lestari Novanto Yudistira Oakley, Simon Permatasari, Wulan Pipit Tandyana Febriantika Purwanto . Rahmanto, Didi RATNA SARI, RIKA Raushanfikr Bushron Restu Wulansari Rifqi Rahmat Hidayatullah Rika Ratna Sari Rini, Tri Setia Riza, Sativandi Rizki Maulana Ishaq Rohani, Rosesita Tri Suci Rosalynda, Eka Novia Ruth Stella Petrunella Thei S Sudarto Saputra, Danny Dwi Sari, Rika Ratna Sativandi Riza Setyawan P. Sakti Setyawan Purnomo Sakti Soetanto Abdoellah Sri Rahayu Utami Sudarto Sudarto Sudarto Sudarto Sugeng Prijono Syahrul Kurniawan Syamsu Ridzal Indra Hadi Syamsul Arifin Tria Yulianti Wahyuni Setyo Lestari Wandri, Ruli Wariunsora, Sisilia Wayan Firdaus Mahmudy Widianto Widianto Yu-Min, Wang Zaenal Kusuma