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Journal : International Journal of Advances in Intelligent Informatics

Imputation of missing microclimate data of coffee-pine agroforestry with machine learning Heru Nurwarsito; Didik Suprayogo; Setyawan Purnomo Sakti; Cahyo Prayogo; Novanto Yudistira; Muhammad Rifqi Fauzi; Simon Oakley; Wayan Firdaus Mahmudy
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 Abdul Latief Abadi Adaby, Resnu Wahyu Aditya Nugraha Putra Aditya Nugraha Putra Aditya Nugraha Putra, Aditya Nugraha Adymas Putro Utomo 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 Erekso Hadiwijoyo Erekso Hadiwijoyo Erekso Hadiwijoyo Fajriyah, Azizatul Faris Nur Fauzi Athallah Fata, Yulia Amirul Fitra, Ahmad Ali Yuddin Fitri Wijayanti Gatot Mudjiono Georg Cadisch Hadi, Maruf Heru Nurwarsito Ishaq, Rizqi Maulana Iva Dewi Lestariningsih Johanna Maria Rotinsulu John Bako Baon Khanza A’maladewi Sudharta Kurniatun Hairiah Kurniawan Sigit Wicaksono Markum Maulidiyah, Nurul Meine Van Noordwijk Muhammad Rifqi Fauzi Niken Puspita Sari Nina Dwi Lestari 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 Rifqi Rahmat Hidayatullah Rika Ratna Sari Rini, Tri Setia Rizki Maulana Ishaq Rizki Maulana Ishaq Rosesita Tri Suci Rohani Ruth Stella Petrunella Thei S Sudarto Saputra, Danny Dwi Sari, Rika Ratna Sativandi Riza Setyawan P. Sakti Setyawan Purnomo Sakti Simon Oakley Soetanto Abdoellah Sri Rahayu Utami Sudarto Sudarto Sugeng Prijono Syahrul Kurniawan Syamsu Ridzal Indra Hadi Tria Yulianti Wahyuni Setyo Lestari Wandri, Ruli Wariunsora, Sisilia Wayan Firdaus Mahmudy Widianto Widianto Yu-Min, Wang Yulia Amirul Fata Zaenal Kusuma