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Metode yang digunakan menggabungkan social network analysis dengan analisis sentimen berbasis Lexicon. Tahapan meliputi prapemrosesan data, pengecekan polaritas tiap token pada leksikon, serta perhitungan skor sentimen teks. Data dikumpulkan melalui package rtweet pada 24–30 November 2022 dan menghasilkan 10.236 cuitan relevan. Hasil menunjukkan 86,42% netral, 9,36% negatif, dan 4,22% positif, dengan indikasi dominasi sentimen negatif yang mengarah pada kemungkinan mathematics anxiety.",{"@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/sentiment-analysis-of-twitter-conversations-about-mathematics-ahead-of-final-semester-assessment/158202/",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/sentiment-analysis-of-twitter-conversations-about-mathematics-ahead-of-final-semester-assessment/158202.png","ImageObject",300,407,{"name":89,"@type":90},"Genevieve","Person",{"url":68,"name":92,"@type":93},"DocShare","Organization","application/pdf","2026-09-20","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},"Apa tujuan penelitian ini?","Question",{"text":110,"@type":111},"Penelitian ini menganalisis sentimen percakapan pengguna Twitter terhadap pelajaran matematika menjelang Penilaian Akhir Semester (PAS) tahun ajaran 2022/2023.","Answer",{"name":113,"@type":108,"acceptedAnswer":114},"Metode apa yang digunakan dalam analisis sentimen?",{"text":115,"@type":111},"Metode menggabungkan social network analysis dengan analisis sentimen berbasis Lexicon, termasuk prapemrosesan data, pengecekan polaritas token, dan perhitungan skor sentimen teks.",{"name":117,"@type":108,"acceptedAnswer":118},"Bagaimana hasil distribusi sentimen cuitan Twitter?",{"text":119,"@type":111},"Sebanyak 86,42% cuitan bersentimen netral, 9,36% negatif, dan 4,22% positif, dengan dominasi proporsi sentimen negatif dibanding positif.","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},158202,1787996858,{"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},1374391974585,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Analisis Sentimen Percakapan Twitter Terhadap MatematikaMenjelang PenilaianAkhir Semester  \nMuhammad Aly Sa`id 1,*, Rizal Pratama Putra2, Ridhani Anggit Safitri3  \n1 Universitas Negeri Yogyakarta, Karang Malang, Depok, Sleman, 55281 Indonesia  \n2,3 Program Studi Statistika, Universitas Islam Indonesia, Jalan Kaliurang KM 14.5, Kabupaten Sleman, Daerah Istimewa Yogyakarta, 55583, Indonesia  \n* Corresponding author: [muhammadaly.2021@student.uny.ac.id](muhammadaly.2021@student.uny.ac.id)  \nP-ISSN: 2986-4178  \nE-ISSN: 2988-4004  \nRiwayat Artikel  \nDikirim: 10 Januari 2025  \nDirevisi: 07 Mei 2025  \nDiterima: 07 Mei 2025  \nABSTRAK  \nPenelitian ini bertujuan untuk menganalisis sentimen percakapan pengguna Twitter terhadap mata pelajaran matematika menjelang Penilaian Akhir Semester (PAS) tahunajaran 2022/2023 . Metode yang digunakan adalah social network analysis dikombinasikan dengan analisis sentimenpendekatan Lexicon. Tahapan metode ini meliputi prapemrosesan data, pengecekan polaritas setiap token dalam leksikon, dan perhitungan skor sentimen pada teks. Data dikumpulkan dari Twitter menggunakan package rtweet dalam rentang waktu 24–30 November 2022 dan menghasilkan 10.236 cuitan yang relevan. Hasil analisis menunjukkan bahwa 86,42% cuitan bersentimen netral, 9,36% negatif, dan 4,22% positif. Meskipun mayoritas cuitan netral, perbandingan antara sentimen positif dan negatif menunjukkan dominasi sentimen negatif. Temuan ini mengindikasikan kemungkinan adanya mathematics anxiety di kalangan pengguna, yang dapat menjadi pertimbangan bagi pendidik dan pembuat kebijakan untuk memperbaiki pendekatan pembelajaran matematika.  \nKata Kunci: analisis sentimen, lexicon, matematika, penilaian, twitter.  \nABSTRACT  \nThis study aims to analyze the sentiment of Twitter conversations regarding the subject of mathematics ahead of the Final Semester Assessment (FSA) for the 2022/2023 academic year. The method employed is social network analysis combined with sentiment analysis using aLexicon-based approach. The stages include data preprocessing, checking the polarity of each token in the lexicon, and calculating the sentiment score of the text. Data were collected from Twitter using the rtweet package during the period of November 24–30, 2022, resulting in 10,236 relevant tweets. The analysis showed that 86.42% of tweets were neutral, 9.36% negative, and 4.22% positive. Although most tweets were neutral, the comparison between positive and negative sentiments reveals a higher proportion of negative sentiment. These findings suggest a potential presence of mathematics anxiety among users, offering valuable insights for educators and policymakers to enhance mathematics teaching approaches.  \nKeywords: sentiment analysis, lexicon, mathematics, assesment, twitter  \n1. Pendahuluan  \nPenggunaan media sosial telah meningkat secara pesat dalam beberapa tahunterakhir [1] . Jumlah pengguna yang kian bertambah di berbagai platform menciptakan peluang pemanfaatan big data yang melimpah dari media sosial [2] . Data besar saja tidaklah cukup; kemudahan akses dan beragamnya topik percakapan turut memberikan potensi luasuntuk penelitian, misalnya pada analisis perilaku pengguna, analisis produk, analisis sektor, hingga pemasaran digital. Berbagai teknik data science dan machine learning seperti clustering, association rule mining, ensemble models, deep learning, dan analisis sentimentelah diterapkan untuk menggali data media sosial dalam konteks pemasaran dan evaluasiproduk [3], [4] . Selain bidang bisnis, data dari media sosial juga dimanfaatkan dalam ranahsosial-politik, misalnya untuk menganalisis isu terkini di masyarakat [5] . Hal inidimungkinkan karena pengguna media sosial kerap berdiskusi tentang topik-topik saling terkait dan membentuk komunitas sesuai preferensi mereka [6] . Media sosial seperti Facebook, Instagram, dan Twitter secara umum memang mendorong partisipasi pengguna, kolaborasi, serta pembentukan komunitas daring [7], [8] .  \nSebagai platform","cbCaimTdByIavYKQ","https://ap.wps.com/l/cbCaimTdByIavYKQ","pdf",573379,10,"Indonesian","# Pendahuluan\n## Latar belakang pemanfaatan media sosial dan big data\n## Twitter sebagai sumber data dan analisis jejaring sosial\n## Perkembangan analisis sentimen\n# Metode Penelitian\n## Social network analysis\n## Analisis sentimen berbasis leksikon\n## Pengumpulan dan prapemrosesan data","[{\"question\":\"Apa tujuan penelitian ini?\",\"answer\":\"Penelitian ini menganalisis sentimen percakapan pengguna Twitter terhadap pelajaran matematika menjelang Penilaian Akhir Semester (PAS) tahun ajaran 2022/2023.\"},{\"question\":\"Metode apa yang digunakan dalam analisis sentimen?\",\"answer\":\"Metode menggabungkan social network analysis dengan analisis sentimen berbasis Lexicon, termasuk prapemrosesan data, pengecekan polaritas token, dan perhitungan skor sentimen teks.\"},{\"question\":\"Bagaimana hasil distribusi sentimen cuitan Twitter?\",\"answer\":\"Sebanyak 86,42% cuitan bersentimen netral, 9,36% negatif, dan 4,22% positif, dengan dominasi proporsi sentimen negatif dibanding positif.\"}]","Analisis Sentimen Percakapan Twitter Terhadap Matematika Menjelang Penilaian Akhir Semester | PDF",15]