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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) International Conference on Engineering and Technology Development (ICETD) DINAMIKA DOTCOM Jurnal EECCIS Jurnal Teknologi Informasi dan Ilmu Komputer AGRIVITA, Journal of Agricultural Science International Journal of Advances in Intelligent Informatics JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Journal of Robotics and Control (JRC)
Heru Nurwarsito
Universitas Brawijaya Malang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mechanical Engineering

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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 Adaby, Resnu Wahyu Adhi Kurniawan Aidi Rahman Aji Prasetya Wibawa Alfrienza Tighfaraka Alifibioneri Ananda Adiyatma Putra Andy Wiranto Aprino, Dani Ardia Regita Pramesti ari kusyanti Armansyah Armansyah Arshad, Mohammad Syafwan Aryadna Nareindra Atiqo Tuzumah Baharum, Zirawani Barlian Henryranu P Barlian Henryranu Prasetio Bekti Widyaningsih Bintang Mada Suharsono Bisma Arie Yaqudsa Bisma Prasetya Cahyo Prayogo, Cahyo Cindy Zefira Afiani Denny Sagita Rusdianto Denny Sagita Rusdianto Desman Desman Devano Mirza Nugroho Didik Suprayogo Dwiki Ansarullah Ervani Sofyana Putra Fathul Hakim Fauzi, Muhammad Rifqi Fedro Jordie T. H. Simangunsong Fegi Eriyani Ferdi Cezano Santosa Fernanda Yerisha Hartinah Ridwan Firlhi Kurniawan Firstian Satya Yulihardi Fitra, Ahmad Ali Yuddin Galeh Prehandayana Getdra Saragih Sumbayak Guntur Wahyu Pamungkas Hairulnizam Mahdin, Hairulnizam Hassan, Azman Herdian Zend Komara I Putu Krisna Yoga Tanaya Imam Cholissodin Imam Cholissodin Kamri, Khairol Anuar Kasyful Amron Kharisma Fadillah Kuni Yustika Dewi M. Fatkur Rohman Made Widya Anjani Mahendra Data Mahendra Data Maulana Yoga Wiyananta Mirsha Akbar Muhamad Alfarisi Muhamad Romdoni Rachman Wijaya Muhammad Arhangga Satriawan Muhammad Isman Suga Muhammad Rizqi Fauzi Naufal Hilmi Ni Luh Irma Arini Niar Ariati Novanto Yudistira Nurul Azmi Nurul Hidayat Oakley, Simon Pradana, Kevin Dion Andre Pramukantoro, Eko Sakti Priyambadha, Bayu Purnomo Budi Santoso Purnomo Budi Santoso Putra, Mahdiaffan Dwi Putu Gede Sayoga Rakhmadhany Primananda Reynaldi Firman Tersianto Reza Andria Siregar Ricky Yohanes Ridwan Eko Prasetyo Rifqi Raditya Wibowo Rifqi Zumadilla Pratama Rika Yunitarini Riksa Suta Adji Riski Manta Simanjorang Rizal Fahturrizqi Salman Al Farizi Sandya Ratna Maruti Sarah Atemalem Octaviana Toruan Satrio Trimada Tarigan Seisarrina, Maulidya Larasaty Setyawan P. Sakti Setyawan Purnomo Sakti Shofura Naufal Rifiera Simarmata, Gilbert Jonathan Sindy Alvionita Su-Cheng Haw Sukron Alfa Dani Setiawan Tesa Putri Cendani Tyo Enos Revan Gultom Velient Vinandha Verio Brika Sejahtera Wayan Firdaus Mahmudy Widhi Yahya Wijaya Kurniawan Winda Silviana Yuli Wahyuni