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All Journal Jurnal Floratek Plantropica: Journal of Agricultural Science Journal of Tropical Horticulture Jurnal Agrium Sisfo: Jurnal Ilmiah Sistem Informasi International Journal of Science and Environment Jurnal Ilmiah Mahasiswa Agroekoteknologi Nanggroe: Journal Of Scholarly Service Nanggroe: Journal of Scholarly Service Jurnal Solusi Masyarakat Dikara
Zurrahmi Wirda
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Model Prediksi Produksi Pertanian Berbasis Machine Learning dan Data Lapangan Khaidir, Khaidir; Fadhliani, Fadhliani; Wirda, Zurrahmi; Ramadhani, Almuna
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 9 No. 2 (2025): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2025
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/.v9i2.26015

Abstract

Ketidakpastian produksi pertanian merupakan tantangan krusial yang memengaruhi ketahanan pangan dan kesejahteraan petani di Indonesia. Penelitian ini bertujuan mengembangkan model prediksi produksi pertanian berbasis machine learning menggunakan data lapangan yang komprehensif. Data dikumpulkan dari lahan pertanian di Kota Lhokseumawe dan Kabupaten Aceh Utara selama tiga musim tanam, mencakup parameter tanah, iklim mikro, praktik budidaya, dan hasil panen aktual, dengan total 432 observasi. Empat algoritma machine learning dibandingkan, yaitu Random Forest, Support Vector Regression, XGBoost, dan Artificial Neural Network. Hasil penelitian menunjukkan bahwa XGBoost memberikan performa terbaik dengan nilai R² sebesar 0,89 dan RMSE 0,52 ton/ha pada dataset pengujian. Validasi lapangan pada musim tanam berikutnya mengonfirmasi kemampuan generalisasi model dengan RMSE 0,61 ton/ha. Analisis interpretabilitas model mengidentifikasi dosis pupuk nitrogen, kandungan C-organik tanah, dan curah hujan sebagai faktor paling berpengaruh terhadap produksi, dengan hubungan non-linear yang menunjukkan ambang optimal curah hujan pada kisaran 1.800–2.200 mm per musim tanam. Hasil penelitian ini menunjukkan bahwa integrasi machine learning dan data lapangan mampu menghasilkan prediksi produksi yang akurat dan relevan untuk mendukung pengambilan keputusan dalam sistem pertanian Indonesia.
Comparison Population of Rhyzopertha dominica (Coleoptera: Bostrichidae) and Damage Cereals During Storage Period Hendrival, Hendrival; Rahmi, Cut; Yusnellis, Yusnellis; N, Muhammad Yusuf; Wirda, Zurrahmi
Plantropica: Journal of Agricultural Science Vol. 7 No. 2 (2022)
Publisher : Department of Agronomy, Faculty of Agriculture, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jpt.2022.007.2.10

Abstract

Storage of cereal is a section of the stage post-harvest and helpful for maintaining food availability against crop failures and natural disasters. The losses yield commodity cereal happened at the stage storage caused by Rhyzopertha dominica. This study aimed to determine the comparison population R. dominica and damage to rice and sorghum based on the storage period. The types of cereals used are rice and sorghum. The research was arranged in a completely randomized design (CRD) with the treatment of storage periods for rice and sorghum consisting of five levels is storage for 40, 60, 80, 100, and 120 days. Observation parameters included population R. dominica and damage as well increased moisture content of rice and sorghum. Data obtained from the observations were analyzed using analysis of variance.  The results showed that the population of R. dominica and damage more happened to sorghum than rice based on the storage period. The storage period of 120 days could increase population R. dominica, damage and moisture content of rice and sorghum. Knowledge of the storage period for rice and sorghum give information so that not to stored rice and sorghum for long time periods
Co-Authors A.G, Rosnina Abdul Azis Aminullah, Agus Ansari Pohan, Muhammad Albi Bagus Setiawan Baidhawi Baidhawi Darmayani, Satya Fadhliani, Fadhliani Faisal Faisal Febrianti, F. Febry Ananda, Nurul Fridayanti, Nelly H Hafifah, H Hafifah Hafifah, Hafifah Handayani, Murziola Hendrival Hendrival Hendrival Hendrival Ismadi Ismadi Ismadi, I Jamidi, Jamidi K, Khaidir Khaidir Khaidir Khaidir Khaidir, Khaidir Laila Nazirah Lelawati, Nur Lubis, Dea Andini LUKMAN, LUKMAN Mira Agustina Muhamad Yusuf, SE., M.Si. Muhammad Muaz Munauwar Muhammad Yusuf Munazar Munazar N, Muhammad Yusuf Nasruddin Nasruddin Nasruddin Nazimah Nazimah Nilahayati Pramahsari Putri, Novita Puri Handayani Rafli, Muhammad Rahmi, Cut Ramadhani, Almuna Rd. Selvy Handayani Rizki Ananda, Nurul Rosnina, A G S. D, Elvira Safrizal Safrizal Selvy Handayani Syahputri, Zahrai Al rika U, Usnawiyah Usnawiyah, U Usnawiyah, Usnawiyah Usnawiyah, Usnawiyah Yanita Yunaida, Yunaida Yusnellis, Yusnellis Yusra, Yusra Yusuf N, Muhammad Zuliati, Septiarini