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Pada Agustus 2024, halaman pembelian mengalami error ketika banyak pengunjung mencoba membeli e-materai secara bersamaan, memicu beragam opini masyarakat. Penelitian melakukan analisis sentimen untuk mengukur arah opini setelah insiden tersebut dengan algoritma Random Forest menggunakan model Bag of Words. Hasil menunjukkan 86% opini netral, 9% negatif, dan 5% positif, dengan akurasi 70,1%, presisi 50,7%, recall 54,1%, dan F1-Score 47,6% .",{"@graph":63,"@context":120},[64,81,103],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,72,75,78],{"item":68,"name":69,"@type":70,"position":71},"https://docshare.wps.com","Home","ListItem",1,{"item":73,"name":9,"@type":70,"position":74},"https://docshare.wps.com/id/document/",2,{"item":76,"name":31,"@type":70,"position":77},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":79,"name":59,"@type":70,"position":80},"https://docshare.wps.com/id/document/implementation-of-random-forest-algorithm-and-bag-of-words-model-in-sentiment-analysis-on-e-materai-vol-4-no-2-2024/159416/",4,{"url":79,"name":59,"@type":82,"image":83,"author":88,"headline":59,"publisher":91,"fileFormat":94,"inLanguage":57,"description":61,"dateModified":95,"datePublished":96,"encodingFormat":94,"isAccessibleForFree":97,"interactionStatistic":98},"DigitalDocument",{"url":84,"@type":85,"width":86,"height":87},"https://docshare.wps.com/thumbnails/implementation-of-random-forest-algorithm-and-bag-of-words-model-in-sentiment-analysis-on-e-materai-vol-4-no-2-2024/159416.png","ImageObject",300,407,{"name":89,"@type":90},"Emma Mercer","Person",{"url":68,"name":92,"@type":93},"DocShare","Organization","application/pdf","2026-09-19","2026-08-29",true,{"@type":99,"interactionType":100,"userInteractionCount":102},"InteractionCounter",{"@type":101},"ViewAction",6,{"@type":104,"mainEntity":105},"FAQPage",[106,112,116],{"name":107,"@type":108,"acceptedAnswer":109},"Mengapa masyarakat memberikan sentimen tentang e-materai pada Agustus 2024?","Question",{"text":110,"@type":111},"Sentimen muncul karena halaman pembelian e-materai mengalami error (misalnya “error1200”) ketika banyak pengunjung mencoba membeli e-materai pada waktu yang sama saat pendaftaran CPNS 2024.","Answer",{"name":113,"@type":108,"acceptedAnswer":114},"Metode apa yang digunakan untuk menganalisis sentimen pada penelitian ini?",{"text":115,"@type":111},"Penelitian menggunakan algoritma Random Forest dengan model Bag of Words untuk mengolah teks menjadi fitur dan melakukan klasifikasi sentimen.",{"name":117,"@type":108,"acceptedAnswer":118},"Bagaimana hasil distribusi opini masyarakat dan performa model?",{"text":119,"@type":111},"Distribusi opini menghasilkan 86% netral, 9% negatif, dan 5% positif. Model memperoleh akurasi 70,1%, presisi 50,7%, recall 54,1%, dan F1-Score 47,6%.","https://schema.org",{"og:url":79,"og:type":122,"og:title":59,"og:site_name":92,"og:description":61},"article",{"robots":124,"canonical":79},"index,follow",{"doc_id":126,"site_id":56},159416,1788017599,{"code":4,"msg":5,"data":129},{"doc_id":126,"user_id":130,"nickname":89,"user_avatar":131,"doc_module":4,"category_id":30,"category_name":31,"doc_title":59,"doc_description":61,"doc_content":132,"file_id":133,"file_url":134,"file_type":135,"file_size":136,"view_count":102,"is_deleted":4,"is_public":71,"is_downloadable":71,"audit_status":71,"page_count":137,"language":138,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":139,"faqs":140,"seo_title":141,"seo_description":61,"update_tm":127,"read_time":142},962084925502,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","Vol. 4 No. 2 (2024) 139 – 145 ISSN Media Elektronik: 2807–8152  \nImplementasi Algoritma Random Forest dan Model Bag of Words Dalam Analisis Sentimen Mengenai E-Materai  \nFenilinas Adi Artanto  \nInformatika, Fakultas Teknik dan Ilmu Komputer, Universitas Muhammadiyah Pekajangan Pekalongan,  \nKabupaten Pekalongan, Indonesia  \nEmail: [fenilinasadi@gmail.com](fenilinasadi@gmail.com)  \nABSTRACT  \nFor CPNS registration in 2024, a digital stamp purchase method will be implemented via the website [https://meterai-elektronik.com as a requirement for complete administration. However](https://meterai-elektronik.com as a requirement for complete administration. However), the page that provides estamps experienced an error because many visitors entered and tried to buy e-stamps at the same time. This disruption has resulted in several people having opinions about e-stamps. To find out people's sentiments about e-stamps after this incident, sentiment analysis was carried out. In analyzing these sentiments, the Random Forest algorithm is used with the Bag of Words model, where Random Forest is a development method of Classification and Regression Trees (CART) which is said to be more precise in predicting and the Bag of Words model is widely used with good results for predicting language modeling and classification. documents because Bag of Words is simple and flexible. In sentiment analysis, 86% of neutral opinions were produced, 9% of negative opinions and 5% of positive opinions. Then the Random Forest algorithm with the Bag of Words model got an accuracy value of 70.1%, precision of 50. 7%, recall of 54.1%, and F1-Score of 47.6%.  \nKeywords: Bag of Words, E-Materai, Random Forest, Sentiment Analysis, Text Mining.  \nABSTRAK  \nDalam pendaftaran CPNS pada tahun 2024 diberlakukan metode pembelian materai digital melalui website [https://meterai-elektronik.com sebagai](https://meterai-elektronik.com sebagai) syarat kelengkapan admisnistrasi. Tetapi halaman tersebut yang menjadi penyedia e-materai mengalami error karena banyaknya pengunjung yang masuk dan berusaha membeli e-materaidi saat yang sama. Dengan adanya gangguan tersebut mengakibatkan beberapa masyarakat beropini tentang ematerai. Untuk mengetahui sentiment masyarakat tentang e-materai setelah kejadian tersebut maka dilakukan analisis sentimen. Dalam menganalisis sentimen tersebut digunakan algoritma Random Forest dengan model Bag of Words dimana Random Forest merupakan metode pengembangan dari Classification and Regression Trees (CART) yang dikatakan lebih presisi dalam memprediksi dan model Bag of Words banyak digunakan dengan hasil yang baik untuk memprediksi pemodelan Bahasa dan klasifikasi dokumen karena Bag of Words sederhana danfleksibel. Dalam analisis sentimen dihasilkan 86% opini netral, 9% opini negatif dan 5% opini positif. Lalu algoritma Random Forest dengan model Bag of Words mendapatkan nilai Accuracy sebesar 70.1%, precision sebesar 50 .7%, recall 54 . 1%, dan F1-Score 47 .6% .  \nKata Kunci: Bag of Words, E-Materai, Random Forest, Analisis Sentimen, Text Mining.  \n1. Pendahuluan  \nDalam perkembangan Teknologi saat ini telah memberikan banyak perubahan, terutama padaperkembangan digitalisasi. Seperti dalam hanya materai. Bea Materai merupakan pengenaan pajak atas dokumen dan memberikan kekuatan yang sempurna, dalam artian lainya adalah apabila sebuah akta telah dibayarkan beamaterainya maka akta tersebut terhindar dari sanksiadministrasi yang diatur dalam Undang-Undang bea Materai [1] . Tetapi budaya atau anggapan yang beredaradalah jika suatu dokumen atau surat perjanjian tanpa  \nmaterai dianggap tidak sah, namun sah atau tidaknyasuatu perjanjian tidak ditentukan oleh pelunasan beamaterai tetapi ditentukan oleh pasal 1320 Kitab Undang-Undang Hukum Perdata [2] .  \nBerdasarkan ketentuan pasal 5 ayat 1 Undang-Undang No. 19 Tahun 2016 tentang perubahan atas UU No. 11 Tahun 2008 tentang informasi dan Transaksi Elektronik, disebutkan bahwa informasi Elektronik dan/atau Doku","cbCaijBkvWmHBjCR","https://ap.wps.com/l/cbCaijBkvWmHBjCR","pdf",578197,7,"Indonesian","# Pendahuluan\n## Latar belakang digitalisasi bea materai dan penerapan e-materai\n## Insiden error saat pendaftaran CPNS 2024 dan munculnya sentimen publik\n## Analisis sentimen sebagai bagian dari text mining\n## Media sosial sebagai sumber data (X/Twitter)\n## Metode klasifikasi Random Forest dan langkah analisis","[{\"question\":\"Mengapa masyarakat memberikan sentimen tentang e-materai pada Agustus 2024?\",\"answer\":\"Sentimen muncul karena halaman pembelian e-materai mengalami error (misalnya “error1200”) ketika banyak pengunjung mencoba membeli e-materai pada waktu yang sama saat pendaftaran CPNS 2024.\"},{\"question\":\"Metode apa yang digunakan untuk menganalisis sentimen pada penelitian ini?\",\"answer\":\"Penelitian menggunakan algoritma Random Forest dengan model Bag of Words untuk mengolah teks menjadi fitur dan melakukan klasifikasi sentimen.\"},{\"question\":\"Bagaimana hasil distribusi opini masyarakat dan performa model?\",\"answer\":\"Distribusi opini menghasilkan 86% netral, 9% negatif, dan 5% positif. Model memperoleh akurasi 70,1%, presisi 50,7%, recall 54,1%, dan F1-Score 47,6%.\"}]","Implementasi Algoritma Random Forest dan Model Bag of Words Dalam Analisis Sentimen Mengenai E-Materai - Vol. 4 No. 2 - 2024 | PDF",11]