[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120780-id":3,"doc-seo-120780-113":30,"detail-sidebar-cat-0-id-113":92},{"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":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},120780,549768064778,"Finn","https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8",54,"Penelitian & Laporan","PENGGUNAAN MACHINE LEARNING UNTUK PREDIKSI HARGA TELUR AYAM RAS DI KOTA BANDUNG - Analisis ARIMA","Analisis prediksi berbasis data time series memungkinkan estimasi informasi di masa depan, dan kini dapat diwujudkan melalui machine learning. Harga telur ayam ras sebagai komoditas konsumsi yang luas memengaruhi inflasi, daya beli masyarakat, serta kondisi pasar sehingga memerlukan pengendalian yang tepat. Penelitian ini menerapkan metode ARIMA untuk memodelkan dan memprediksi harga dengan data dari Sistem Pemantauan Pasar dan Kebutuhan Pokok Kemendagri. Setelah preprocessing pengisian nilai hilang, model dievaluasi menggunakan RMSE dan R-square, lalu diuji untuk prediksi 30 hari serta menghasilkan rekomendasi perencanaan pemerintah.","PENGGUNAAN MACHINE LEARNING UNTUK PREDIKSI HARGATELUR AYAM RAS DI KOTA BANDUNG  \nIhda Anwari1, Intan Nurma Yulita2  \n1)Program Studi Bisnis Digital, Fakultas Ekonomi dan Bisnis, Universitas Padjadjaran  \n2)Departemen Ilmu Komputer, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Padjadjaran email: [ihda19001@mail.unpad.ac.id](ihda19001@mail.unpad.ac.id)  \nAbstrak  \nAnalisis prediksi merupakan salah satu metode analisis pada data time series untuk mendapatkan informasi di masa depan. Analisis prediksi kini dapat dilakukan oleh machine learning. Pemanfaatan teknologi tersebut sudah diterapkan pada berbagai bidang. Penggunaaan analisis prediksi pada harga komoditas dapat menjadi referensi bagi pemerintah untuk mengendalikan harga di pasar. Harga komoditas ini berpengaruh terhadap inflasi dan tentunya penting untuk diperhatikan. Telur sebagaikomoditas makanan yang sederhana dan dikonsumsi semua kalangan menjadi objek utama yang diteliti. Pada penelitian ini peneliti menggunakan ARIMA sebagai metode machine learning prediksiuntuk melakukan analisis prediksi. Data diambil dari website resmi kemendagri yang bernama Sistem Pemantauan Pasar dan Kebutuhan Pokok. Setelah data didapatkan kemudian data dilakukan preprocessing dengan mengisi nilai nilai yang hilang. Setelah data lengkap kemudian data dibuat pemodelan ARIMA menggunakan aplikasi KNIME. Terakhir model yang sudah dibuat dievaluasi menggunakan metrik statistic Root Mean Squared Error (RMSE) dan R-square. Model menghasilkan RMSE yang rendah dan R-square yang mendekati satu yang artinya model tersebut memiliki kinerja yang baik. Model kemudian diuji untuk melakukan prediksi 30 hari dari data aktual. Terakhir penelitimemberikan rekomendasi tindakan dan perencanaan pemerintah dalam memanfaatkan model machine learning ini.  \nKata kunci: Machine Learning, Prediksi, Inflasi, Harga Komoditas, ARIMA  \nAbstract  \nPredictive analysis is an analysis method of time series data to obtain future information. Predictive analysis now can be performed by machine learning. The use of this technology has been applied in various fields. The use of predictive analysis on commodity prices can be a reference for the government to control prices in the market. The price of this commodity affects inflation and it is important to note. Eggs as a simple food commodity consumed by all groups are the main object of research. In this study, researchers used ARIMA as a predictive machine learning method to perform predictive analysis. The data is taken from the official website of the Ministry of Trade called \"Sistem Pemantauan Pasar dan Kebutuhan Pokok\". After the data is obtained, then the data is preprocessed by filling in the missing values. After the data is complete, the ARIMA model is created with the data using the KNIME application. Lastly, the model that has been made is evaluated using the statistical metrics Root Mean Squared Error (RMSE) and R-square. The model produces a low RMSE and Rsquared which is close to one, which means that the model has good performance. Then, the model is tested to make 30-day predictions from actual data. Finally, the researcher provides recommendations for action and government planning in utilizing this machine learning model.  \nKeywords: Machine Learning, Prediction, Inflation, Commodity Price, ARIMA  \nPENDAHULUAN  \nPerubahan inflasi menjadi salah satu penyebab dari fluktuasi harga semua barang yang ada dimasyarakat. Semakin tinggi inflasi maka harga barang yang beredar semakin naik. Perekonomian suatu negara akan memburuk jika inflasi tidak segera diatasi (Rahmawati & Khilmi, 2021) . Haltersebut menyebabkan daya beli masyarakat terhadap barang yang beredar menurun. Kenaikan hargamenjadi sebuah masalah ketika menyentuh pada barang penting termasuk barang konsumsi sepertimakanan dan minuman. Di Indonesia pada tahun 2022, komoditas hortikultura menjadi penyebabutama kenaikan inflasi pada tahun tersebut (Haryono, 2022) . Pada artikel yang dipublikasikan oleh","cbCait6U8ohAG9wY","https://ap.wps.com/l/cbCait6U8ohAG9wY","pdf",350088,1,5,"Indonesian","id",113,"# Pendahuluan\n## Latar belakang inflasi dan harga komoditas\n## Telur ayam ras sebagai objek penelitian\n## Kebutuhan referensi prediksi dan peran machine learning\n## Metode ARIMA dan konsep pemodelan time series","[{\"question\":\"Mengapa prediksi harga telur ayam ras penting dalam konteks inflasi?\",\"answer\":\"Karena perubahan inflasi memicu fluktuasi harga barang. Kenaikan harga telur berdampak pada semua kalangan dan perlu dikendalikan agar stabilitas pasar lebih terjaga.\"},{\"question\":\"Metode machine learning apa yang digunakan untuk memprediksi harga telur?\",\"answer\":\"Penelitian menggunakan ARIMA sebagai metode machine learning untuk analisis prediksi pada data time series.\"},{\"question\":\"Bagaimana proses evaluasi model dilakukan?\",\"answer\":\"Model dievaluasi menggunakan metrik statistik Root Mean Squared Error (RMSE) dan R-square. Nilai RMSE rendah dan R-square mendekati satu menunjukkan kinerja model yang baik.\"}]","PENGGUNAAN MACHINE LEARNING UNTUK PREDIKSI HARGA TELUR AYAM RAS DI KOTA BANDUNG - Analisis ARIMA | PDF",1785732002,8,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":28},"using-machine-learning-for-predicting-harga-telur-ayam-ras-in-bandung-city-arima-analysis","",{"@graph":36,"@context":86},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/id/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/id/document/using-machine-learning-for-predicting-harga-telur-ayam-ras-in-bandung-city-arima-analysis/120780/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-06","2026-08-03",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"Mengapa prediksi harga telur ayam ras penting dalam konteks inflasi?","Question",{"text":76,"@type":77},"Karena perubahan inflasi memicu fluktuasi harga barang. Kenaikan harga telur berdampak pada semua kalangan dan perlu dikendalikan agar stabilitas pasar lebih terjaga.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"Metode machine learning apa yang digunakan untuk memprediksi harga telur?",{"text":81,"@type":77},"Penelitian menggunakan ARIMA sebagai metode machine learning untuk analisis prediksi pada data time series.",{"name":83,"@type":74,"acceptedAnswer":84},"Bagaimana proses evaluasi model dilakukan?",{"text":85,"@type":77},"Model dievaluasi menggunakan metrik statistik Root Mean Squared Error (RMSE) dan R-square. Nilai RMSE rendah dan R-square mendekati satu menunjukkan kinerja model yang baik.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":93},[94,99,103,107,111,115,117,121,125,129,133],{"id":95,"doc_module":4,"doc_module_name":46,"category_name":96,"show_sort_weight":97,"slug":98},55,"Agama & Spiritualitas",60,"religion-spirituality",{"id":100,"doc_module":4,"doc_module_name":46,"category_name":101,"show_sort_weight":97,"slug":102},48,"Cerita & Novel","story-novel",{"id":104,"doc_module":4,"doc_module_name":46,"category_name":105,"show_sort_weight":97,"slug":106},56,"Gaya Hidup","lifestyle",{"id":108,"doc_module":4,"doc_module_name":46,"category_name":109,"show_sort_weight":97,"slug":110},51,"Komik","comic",{"id":112,"doc_module":4,"doc_module_name":46,"category_name":113,"show_sort_weight":97,"slug":114},53,"Layanan Kesehatan","healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":97,"slug":116},"research-report",{"id":118,"doc_module":4,"doc_module_name":46,"category_name":119,"show_sort_weight":97,"slug":120},49,"Sastra","literature",{"id":122,"doc_module":4,"doc_module_name":46,"category_name":123,"show_sort_weight":97,"slug":124},52,"Teknologi","technology",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":127,"show_sort_weight":97,"slug":128},50,"Ujian","exam",{"id":130,"doc_module":4,"doc_module_name":46,"category_name":131,"show_sort_weight":97,"slug":132},57,"Umum","general",{"id":134,"doc_module":4,"doc_module_name":46,"category_name":135,"show_sort_weight":4,"slug":136},181,"Formulir","formulir"]