[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124981-id":3,"doc-seo-124981-113":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},124981,137451207643,"Noah","https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2",54,"Penelitian & Laporan","Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning","Analisis sentimen dilakukan untuk mengevaluasi reputasi merek Motor XYZ yang dikaitkan dengan isu rangka motor setelah rumor di media sosial pada Agustus 2023. Rumor menyebut rangka mengalami karat, korosi, dan retak sehingga memicu kekhawatiran publik dan berpotensi merugikan citra merek. Data dikumpulkan melalui crawling dari tweets periode Agustus hingga November 2023. Analisis mencakup word cloud, tren serta distribusi, dan perbandingan lima algoritma machine learning untuk mengklasifikasikan sentimen, dengan Random Forest sebagai performa terbaik setelah tuning.","ANALISIS SENTIMEN UNTUK EVALUASI REPUTASI MEREK MOTOR XYZ BERKAITAN DENGAN ISU RANGKA MOTOR DI TWITTER MENGGUNAKAN  \nPENDEKATAN MACHINE LEARNING  \nFerdian Maulana Akbar*1, Robby Hermansyah2, Sofian Lusa3, Dana Indra Sensuse4, Nadya Safitri5,  \nDamayanti Elisabeth6  \n1,2,4,5,6Universitas Indonesia, Depok, 3Institut Pariwisata Trisakti, Jakarta  \n[Email:](Email:1ferdian.maulana@ui.ac.id)[1](Email:1ferdian.maulana@ui.ac.id)[ferdian.maulana@ui.ac.id](Email:1ferdian.maulana@ui.ac.id), [2](2robby.hermansyah@ui.ac.id)[robby.hermansyah@ui.ac.id](2robby.hermansyah@ui.ac.id), [3](3sofian.lusa@iptrisakti.ac.id)[sofian.lusa@iptrisakti.ac.id](3sofian.lusa@iptrisakti.ac.id), [4](4dana@ui.ac.id)[dana@ui.ac.id](4dana@ui.ac.id),  \n[5](5nadya.safitri@ui.ac.id)[nadya.safitri@ui.ac.id](5nadya.safitri@ui.ac.id), [6](6damayanti.elisabeth@ui.ac.id)[damayanti.elisabeth@ui.ac.id](6damayanti.elisabeth@ui.ac.id)  \n*Penulis Korespondensi  \n(Naskah masuk: 29 Januari 2024, diterima untuk diterbitkan: 14 Juni 2024)  \nAbstrak  \nMotor XYZ mengeluarkan inovasi rangka motor yang diperkenalkan pada tahun 2019. Sekitar Agustus 2023, beredar rumor di media sosial yang menyatakan bahwa rangka tersebut mengalami karat, korosi, dan retak, menyebabkan kekhawatiran di kalangan masyarakat yang tentunya hal ini berpotensi merugikan reputasi merek XYZ. Sasaran utama dari studi ini adalah mengevaluasi pandangan masyarakat di platform Twitter pada Motor XYZ, khususnya pada perbincangan seputar isu rangka motor. Data yang digunakan merupakan data yang diambil teknik crawling dengan periode tweets dari Agustus hingga November 2023. Penelitian ini akan memanfaatkan analisis sentimen menggunakan word cloud, analisis tren dan distribusi, dan pembandingan lima algoritma machine learning, yakni Naïve Bayes, Decision Tree, Support Vector Machine, Logistic Regression, dan Random Forest. Penelitian ini bertujuan untuk mengidentifikasi algoritma dengan performa terbaik untuk mengategorikan tweets dan memberikan rekomendasi kepada Motor XYZ terkait reputasi merek dalam hubungannya dengan isu rangka motor. Hasil penelitian menunjukkan bahwa model klasifikasi sentimen dengan kinerja terbaik setelah hyperparameter tuning adalah Random Forest, denganF1 score sebesar 0,765. Selain itu, rekomendasi yang dapat diberikan adalah meningkatkan kesadaran tentang pemeriksaan rangka gratis karena telah terbukti berdampak positif pada sentimen masyarakat di Twitter. Perlu ditekankan bahwa dalam penelitian ini tidak ada pertimbanganterhadap proses deployment model machine learning dan pembuatan dashboard. Selain itu, penelitian ini tidak menangani analisis reputasi atau sentimen merek di platform media sosial lain seperti TikTok atau Instagram.  \nKata kunci: analisis sentimen, rangka motor, reputasi merek, machine learning  \nSENTIMENT ANALYSIS FOR EVALUATING THE REPUTATION OF XYZ MOTOR BRAND RELATED TO FRAME ISSUE ON TWITTER USING MACHINE LEARNING  \nAPPROACH  \nAbstract  \nMotor XYZ introduced an innovative motorcycle frame in 2019. In August 2023, rumors began circulating on social media that these frames were experiencing rust, corrosion, and cracks. This caused public concern and potentially harmed the XYZ brand's reputation. This study aims to evaluate public opinion on Twitter regarding the motorcycle frame issue. Data was collected using crawling techniques from tweets posted between August and November 2023. We used sentiment analysis with word clouds, trend and distribution analysis, and comparedfive machine learning algorithms: Naïve Bayes, Decision Tree, Support Vector Machine, Logistic Regression, and Random Forest. The goal was to identify the best algorithm for categorizing tweets and provide recommendations to Motor XYZ about their brand reputation concerning the frame issue. Results showed that the Random Forest model, after hyperparameter tuning, had the best performance with an F1 score of 0.765. This study recommend increasing awareness about free frame inspections, as this positively ","cbCaiu3eFTREcGzV","https://ap.wps.com/l/cbCaiu3eFTREcGzV","pdf",906832,6,1,8,"Indonesian","id",113,"# Pendahuluan\n## Twitter dan reputasi merek\n## Isu rangka motor Motor XYZ\n## Penambangan ulasan dan analisis sentimen\n# Metodologi\n## Pengumpulan data Twitter\n## Analisis deskriptif (word cloud, tren, distribusi)\n## Perbandingan algoritma machine learning\n# Hasil dan Pembahasan\n## Kinerja model terbaik\n## Rekomendasi untuk Motor XYZ","[{\"question\":\"Apa tujuan utama penelitian ini?\",\"answer\":\"Mengevaluasi pandangan masyarakat di Twitter mengenai isu rangka motor Motor XYZ serta menentukan algoritma machine learning terbaik untuk mengategorikan sentimen dan memberi rekomendasi terkait reputasi merek.\"},{\"question\":\"Bagaimana data untuk analisis sentimen dikumpulkan?\",\"answer\":\"Data diperoleh melalui teknik crawling dengan periode tweets dari Agustus hingga November 2023.\"},{\"question\":\"Algoritma machine learning apa yang menghasilkan kinerja terbaik, dan berapa nilai F1-nya?\",\"answer\":\"Random Forest menjadi model dengan kinerja terbaik setelah hyperparameter tuning, dengan F1 score sebesar 0,765.\"}]","Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning | PDF",1785895827,12,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":29},"sentiment-analysis-for-evaluating-the-brand-reputation-of-motor-xyz-related-to-motorcycle-frame-issues-on-twitter-using-machine-learning-approach","",{"@graph":37,"@context":87},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/id/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/id/document/sentiment-analysis-for-evaluating-the-brand-reputation-of-motor-xyz-related-to-motorcycle-frame-issues-on-twitter-using-machine-learning-approach/124981/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-08-17","2026-08-05",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"Apa tujuan utama penelitian ini?","Question",{"text":77,"@type":78},"Mengevaluasi pandangan masyarakat di Twitter mengenai isu rangka motor Motor XYZ serta menentukan algoritma machine learning terbaik untuk mengategorikan sentimen dan memberi rekomendasi terkait reputasi merek.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"Bagaimana data untuk analisis sentimen dikumpulkan?",{"text":82,"@type":78},"Data diperoleh melalui teknik crawling dengan periode tweets dari Agustus hingga November 2023.",{"name":84,"@type":75,"acceptedAnswer":85},"Algoritma machine learning apa yang menghasilkan kinerja terbaik, dan berapa nilai F1-nya?",{"text":86,"@type":78},"Random Forest menjadi model dengan kinerja terbaik setelah hyperparameter tuning, dengan F1 score sebesar 0,765.","https://schema.org",{"og:url":53,"og:type":89,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":91,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":94},[95,100,104,108,112,116,118,122,126,130,134],{"id":96,"doc_module":4,"doc_module_name":47,"category_name":97,"show_sort_weight":98,"slug":99},55,"Agama & Spiritualitas",60,"religion-spirituality",{"id":101,"doc_module":4,"doc_module_name":47,"category_name":102,"show_sort_weight":98,"slug":103},48,"Cerita & Novel","story-novel",{"id":105,"doc_module":4,"doc_module_name":47,"category_name":106,"show_sort_weight":98,"slug":107},56,"Gaya Hidup","lifestyle",{"id":109,"doc_module":4,"doc_module_name":47,"category_name":110,"show_sort_weight":98,"slug":111},51,"Komik","comic",{"id":113,"doc_module":4,"doc_module_name":47,"category_name":114,"show_sort_weight":98,"slug":115},53,"Layanan Kesehatan","healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":98,"slug":117},"research-report",{"id":119,"doc_module":4,"doc_module_name":47,"category_name":120,"show_sort_weight":98,"slug":121},49,"Sastra","literature",{"id":123,"doc_module":4,"doc_module_name":47,"category_name":124,"show_sort_weight":98,"slug":125},52,"Teknologi","technology",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":128,"show_sort_weight":98,"slug":129},50,"Ujian","exam",{"id":131,"doc_module":4,"doc_module_name":47,"category_name":132,"show_sort_weight":98,"slug":133},57,"Umum","general",{"id":135,"doc_module":4,"doc_module_name":47,"category_name":136,"show_sort_weight":4,"slug":137},181,"Formulir","formulir"]