[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-122759-id":3,"doc-seo-122759-113":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},122759,962084925636,"Olivia Brown","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",54,"Penelitian & Laporan","Penerapan Machine Learning Untuk Menentukan Tingkat Kepuasan Tamu Hotel Dymens - Menggunakan Metode VADER","Penerapan machine learning untuk menentukan tingkat kepuasan tamu Hotel Dymens berbasis ulasan yang tersedia di media sosial dan platform reservasi. Ulasan pelanggan digunakan sebagai sinyal kualitas layanan sehingga manajemen dapat melakukan evaluasi guna meningkatkan kepuasan. Pendekatan yang digunakan adalah analisis sentimen pada teks ulasan untuk mengklasifikasikan opini positif, netral, atau negatif. Sentimen dianalisis menggunakan metode Valence Aware Dictionary and Sentiment Reasoner (VADER) yang mengidentifikasi emosi berdasarkan kata-kata, lalu hasilnya dijadikan dasar pengambilan keputusan.","Penerapan Machine Learning Untuk Menentukan Tingkat Kepuasan Tamu Hotel Dymens Menggunakan Metode Vader  \nAngung Rahmadhanu3, Muhammad Raihan Zaky2, Mokti Isra3, Neni Sri Wahyuni Nengsih4, Sularno5,  \nMuhammad Razi A6  \n1234Fakultas Ilmu Komputer, Universitas Putra Indonesia “YPTK” Padang  \n5Sistem Informasi, Universitas Dharma AndalasPadang  \n6Universitas Jambi  \n[1](1agung_ramadhanu@upiyptk.ac.id)[agung_ramadhanu@upiyptk.ac.id](1agung_ramadhanu@upiyptk.ac.id), [2](2Raihan1328@gmail.com)[Raihan1328@gmail.com](2Raihan1328@gmail.com), [3](3IsraMokti@gmail.com)[IsraMokti@gmail.com](3IsraMokti@gmail.com), [nenisriwahyuni_nengsi@upiyptk.ac.id](nenisriwahyuni_nengsi@upiyptk.ac.id),  \nSubmitted: 12-06-2023 , Reviewed: 24-06-2023, Accepted 13-07-2023  \n[https://doi.org/10.47233/jteksis.v5i3.866](https://doi.org/10.47233/jteksis.v5i3.866)  \nAbstract  \nIn Indonesia there are several social media that provide reviews and experiences related to an inn, [including Tripadvisor.com](including Tripadvisor.com), Traveloka, [Tiket.com](Tiket.com), and many more. Over time, machine learning can replace and improve human abilities in various fields, Machine Learning has been extensively researched and used to solve various problems. Among them is to find out how the assessment and views of hotel guests regarding the services and policies set. With reviews from customers or hotel guests, we can find out how the quality of the product or service is implemented, so that an evaluation can be carried out to increase customer satisfaction. Sentiment analysis, or opinion evaluation is an active area of study in the field of natural language processing that analyzes opinions, sentiments, evaluations, attitudes, and emotions through improving the processing of subjectivity in texts. Sentiment analysis is useful for a wide variety of issues of interest to human-computer interaction practices and researchers, as well as people from fields such as: sociology, marketing and advertising, psychology, eco-economics, and political science. The process of sentiment analysis is often done to find out positive, neutral or negative opinion from the public regarding a certain matter. The Valence Aware Dictionary and Sentiment Reasoner (VADER) method is a sentiment analysis method that can identify a person's emotions based on words. So that the VADER Method can be used to identify hotel guest reviews and hotel management can make decisions based on the results of these assessments or reviews  \nKeywords: Machine Learning (ML), Valance Aware Dictonary and Sentimental Reasoner (VADER) Methods  \nAbstrak  \nDi Indonesia terdapat beberapa media sosial yang menyediakan ulasan danpengalaman terkait suatu akomodasi, diantaranya adalah [Tripadvisor.com](Tripadvisor.com), Traveloka, [Tiket.com](Tiket.com), dan masih banyak lagi. Seiring berjalannya waktu, mechine learning dapat menggantikan dan meningkatkan kemampuan manusia diberbagai bidang ,Machine Learning banyak diteliti dan digunakan untuk memecahkan berbagai masalah. Diantaranya untuk mengetahui bagaimana penilaian dan pandangan tamu hotel terkait layanan dan kebijakanyang ditetapkan. Dengan adanya ulasan dari pelanggan atau tamu hotel kita dapat tahu bagaimana kualitas dari produk atau layananyang diterapkan, sehingga dapat dilakukan evaluasi guna meningkatkan kepuasan pelanggan. Analisis sentimen, atau penggalianopini adalah area aktif dari studi di bidang pemrosesan bahasa alami yang menganalisis pendapat, sentimen, evaluasi, sikap,dan emosi melalui perbaikan komputasi subjektivitas dalam teks . Analisis sentimen berguna untuk berbagai masalah yang menarikuntuk praktik interaksi manusia-komputer dan peneliti, serta orang-orang dari bidang-bidang seperti:sosiologi, pemasaran dan periklanan, psikologi, eko-ekonomi, dan ilmu politik.Proses analisis sentimen sering dilakukan untuk mengetahui opini positif, netral atau negatifdari masyarakat terkait suatu hal tertentu. Metode Valence Aware Dictionary Dan Sentiment Reasoner ","cbCaipeJ60x7OW4L","https://ap.wps.com/l/cbCaipeJ60x7OW4L","pdf",697348,5,1,7,"Indonesian","id",113,"# Pendahuluan\n## Latar belakang pemanfaatan internet dan media sosial\n## Keterkaitan ulasan dengan eWOM dan keputusan pelanggan\n## Analisis sentimen untuk penilaian opini\n## Metode VADER untuk klasifikasi emosi berdasarkan kata","[{\"question\":\"Bagaimana ulasan tamu hotel dimanfaatkan untuk menentukan tingkat kepuasan?\",\"answer\":\"Ulasan pelanggan dari media sosial atau platform terkait digunakan sebagai dasar analisis kualitas layanan, sehingga dapat dilakukan evaluasi untuk meningkatkan kepuasan tamu.\"},{\"question\":\"Apa peran analisis sentimen dalam penelitian ini?\",\"answer\":\"Analisis sentimen digunakan untuk menilai opini pada teks ulasan, yaitu mengelompokkan opini menjadi positif, netral, atau negatif.\"},{\"question\":\"Mengapa metode VADER digunakan untuk mengolah ulasan tamu hotel?\",\"answer\":\"VADER merupakan metode analisis sentimen yang dapat mengidentifikasi emosi berdasarkan kata-kata, sehingga hasil analisis dapat membantu manajemen membuat keputusan berdasarkan ulasan.\"}]","Penerapan Machine Learning Untuk Menentukan Tingkat Kepuasan Tamu Hotel Dymens - Menggunakan Metode VADER | PDF",1785812754,11,{"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},"machine-learning-application-to-determine-guest-satisfaction-level-for-dymens-hotel-using-vader-method","",{"@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/machine-learning-application-to-determine-guest-satisfaction-level-for-dymens-hotel-using-vader-method/122759/",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","2026-08-18","2026-08-04",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},"Bagaimana ulasan tamu hotel dimanfaatkan untuk menentukan tingkat kepuasan?","Question",{"text":77,"@type":78},"Ulasan pelanggan dari media sosial atau platform terkait digunakan sebagai dasar analisis kualitas layanan, sehingga dapat dilakukan evaluasi untuk meningkatkan kepuasan tamu.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"Apa peran analisis sentimen dalam penelitian ini?",{"text":82,"@type":78},"Analisis sentimen digunakan untuk menilai opini pada teks ulasan, yaitu mengelompokkan opini menjadi positif, netral, atau negatif.",{"name":84,"@type":75,"acceptedAnswer":85},"Mengapa metode VADER digunakan untuk mengolah ulasan tamu hotel?",{"text":86,"@type":78},"VADER merupakan metode analisis sentimen yang dapat mengidentifikasi emosi berdasarkan kata-kata, sehingga hasil analisis dapat membantu manajemen membuat keputusan berdasarkan ulasan.","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"]