[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-122368-id":3,"doc-seo-122368-113":31,"detail-sidebar-cat-0-id-113":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},122368,2336475104362,"Eden","https://ap-avatar.wpscdn.com/avatar/22000c4c46a41b752dd?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786595829695023868",54,"Penelitian & Laporan","Penggunaan Aplikasi Machine Learning (ML) dalam Kurikulum Perubahan Iklim","Penelitian ini bertujuan mengeksplorasi penerapan Machine Learning (ML) untuk mendukung pemahaman siswa SMK Pertanian di Indonesia terhadap isu perubahan iklim. Melalui pendekatan Systematic Literature Review (SLR), artikel relevan dihimpun dari basis data ERIC dan Science Direct, lalu dianalisis secara tematik guna menemukan pola serta kontribusi utama ML dalam pembelajaran mitigasi perubahan iklim. Temuan menunjukkan integrasi ML berpotensi meningkatkan keterampilan analisis terkait perubahan iklim serta memberi wawasan praktis tentang strategi mitigasi dan adaptasi yang dapat diimplementasikan. Hasil ini mengindikasikan dampak positif bagi pemahaman konseptual dan relevan bagi pendidikan vokasi berbasis kompetensi, sekaligus menyoroti kesenjangan riset pada level SMK.","Penggunaan Aplikasi Machine Learning (Ml) dalam Kurikulum Perubahan Iklim  \nWidya Puji Astuti1􀀍 , Munir 2  \n(1,2) Universitas Pendidikan, Indonesia  \n􀀍 Corresponding author  \n[[widya.astuti80@upi.edu](widya.astuti80@upi.edu)]  \nAbstrak  \nPenelitian ini bertujuan untuk mengeksplorasi penerapan Machine Learning (ML) dalam mendukung pemahaman siswa SMK Pertanian di Indonesia terhadap isu perubahan iklim. Melaluipendekatan Systematic Literature Review (SLR), artikel-artikel relevan dikumpulkan dari basis data ERIC dan Science Direct dan dianalisis secara tematik untuk menemukan pola serta kontribusiutama dari ML dalam pembelajaran mitigasi perubahan iklim. Temuan utama menunjukkan bahwapenerapan ML dalam kurikulum berpotensi memperkuat keterampilan analisis siswa terkait perubahan iklim, memberi wawasan praktis mengenai strategi mitigasi, dan adaptasi yang dapat diimplementasikan. Hasil ini mengindikasikan adanya dampak positif ML dalam meningkatkan pemahaman konseptual siswa terhadap isu-isu lingkungan. Implikasi praktis dari penelitian ini adalah bahwa integrasi ML ke dalam kurikulum pendidikan SMK Pertanian di Indonesia bisamenjadi strategi efektif untuk mempersiapkan siswa menghadapi tantangan perubahan iklim, sekaligus berkontribusi pada pembangunan berkelanjutan. Namun, kesenjangan penelitian masihada terkait penerapan ML dalam pendidikan mitigasi perubahan iklim di tingkat SMK, khususnyapada konteks kurikulum berbasis kompetensi.  \nKata Kunci: machine learning, kurikulum dan pembelajaran, adaptasi dan mitigasi, climate change  \nAbstract  \nThis study aims to explore the application of Machine Learning (ML) in supporting agricultural vocational high school (SMK) students in Indonesia in understanding climate change issues. Through a Systematic Literature Review (SLR) approach, relevant articles were gathered from ERIC and Science Direct databases and analyzed thematically to identify patterns and key contributions of ML in climate change mitigation education. The main findings indicate that integrating ML into the curriculum has the potential to enhance students' analytical skills regarding climate change, providing practical insights into implementable mitigation and adaptation strategies. These results suggest a positive impact of ML on improving students'conceptual understanding of environmental issues. The practical implications of this research are that the integration of ML into the agricultural vocational high school curriculum in Indonesia could serve as an effective strategy to prepare students for climate change challenges while contributing to sustainable development. However, research gaps remain in the application of ML for climate change mitigation education at the vocational level, particularly within competency-based curricula.  \nKeywords: machine learning, curriculum and learning, adaptation and mitigation, climate change  \nPENDAHULUAN  \nPerkembangan teknologi kecerdasan buatan atau artificial intelligence (AI), khususnya machine learning (ML), telah memberikan kontribusi besar dalam memecahkan permasalahankompleks di berbagai bidang, termasuk mitigasi perubahan iklim. Machine learning sebagai cabang AI memiliki kemampuan adaptif dalam memproses data berskala besar secara otomatis, mengidentifikasi pola, serta memberikan hasil prediktif tanpa intervensi manusia secara langsung  \n(Helm et al., 2020) . Dalam konteks perubahan iklim, ML telah diterapkan secara luas dalampemodelan iklim, prediksi cuaca ekstrem, analisis dampak lingkungan, serta optimalisasi penggunaan energi untuk mendukung keputusan berbasis data yang lebih akurat dan efektif dalamupaya mitigasi perubahan iklim (Rolnick et al., 2023) .  \nDampak perubahan iklim di Indonesia sangat dirasakan di sektor pertanian, yang rentanterhadap perubahan cuaca dan lingkungan. Sebagai negara dengan sektor pertanian yang kuat, Indonesia menghadapi tantangan besar dalam mempersiapkan generasi muda untuk mengelolasumber daya alam secara berkelanjutan dan menghadap","cbCaiqdhT7ERAwio","https://ap.wps.com/l/cbCaiqdhT7ERAwio","pdf",682804,7,1,12,"Indonesian","id",113,"# Pendahuluan\n## Latar belakang dan urgensi ML dalam mitigasi perubahan iklim\n## Kesenjangan penelitian dan tujuan studi\n# Metode Penelitian\n## Desain penelitian berbasis Systematic Literature Review (SLR)","[{\"question\":\"Penelitian ini bertujuan untuk mengeksplorasi apa?\",\"answer\":\"Penelitian bertujuan mengeksplorasi penerapan Machine Learning (ML) untuk mendukung pemahaman siswa SMK Pertanian di Indonesia terhadap isu perubahan iklim.\"},{\"question\":\"Bagaimana metode yang digunakan untuk mengkaji penerapan ML?\",\"answer\":\"Penelitian menggunakan pendekatan Systematic Literature Review (SLR) dengan mengumpulkan artikel relevan dari basis data ERIC dan Science Direct, lalu dianalisis secara tematik.\"},{\"question\":\"Apa manfaat utama integrasi ML dalam kurikulum pendidikan perubahan iklim menurut temuan?\",\"answer\":\"Integrasi ML berpotensi memperkuat keterampilan analisis siswa terkait perubahan iklim serta memberikan wawasan praktis tentang strategi mitigasi dan adaptasi yang dapat diimplementasikan.\"}]","Penggunaan Aplikasi Machine Learning (ML) dalam Kurikulum Perubahan Iklim | 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ini bertujuan untuk mengeksplorasi apa?","Question",{"text":77,"@type":78},"Penelitian bertujuan mengeksplorasi penerapan Machine Learning (ML) untuk mendukung pemahaman siswa SMK Pertanian di Indonesia terhadap isu perubahan iklim.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"Bagaimana metode yang digunakan untuk mengkaji penerapan ML?",{"text":82,"@type":78},"Penelitian menggunakan pendekatan Systematic Literature Review (SLR) dengan mengumpulkan artikel relevan dari basis data ERIC dan Science Direct, lalu dianalisis secara tematik.",{"name":84,"@type":75,"acceptedAnswer":85},"Apa manfaat utama integrasi ML dalam kurikulum pendidikan perubahan iklim menurut temuan?",{"text":86,"@type":78},"Integrasi ML berpotensi memperkuat keterampilan analisis siswa terkait perubahan iklim serta memberikan wawasan praktis tentang strategi mitigasi dan adaptasi yang dapat 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