Analisis Sentimen Terhadap Opini Masyarakat Tentang Vaksin Covid-19 Menggunakan Algoritma Naïve Bayes Classifier

Yulita, Winda

doi:10.33365/jdmsi.v2i2.1344

Cited by 26 publications

(22 citation statements)

References 15 publications

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“…Rumusnya adalah menyatukan prior probability dan conditional probability untuk menghitung probabilitas setiap kemungkinan pada klasifikasi. [12].…”

Section: Klasifikasi Naïve Bayesunclassified

Analisis Sentimen Ulasan Pengguna Aplikasi Samsat Digiital Nasional (Signal) Dengan Menggunakan Metode Naïve Bayes Classifier

Rahman,

Hasanah,

Heryana

2024

JITET

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Aplikasi Samsat Digital Nasional (SIGNAL) adalah sebuah aplikasi yang memungkinkan pembayaran pajak kendaraan bermotor secara online. Aplikasi ini memiliki banyak fitur dan insentif yang ditujukan untuk meningkatkan kenyamanan dan kepatuhan perpajakan pengguna. Namun, tidak semua pengguna merasa puas dengan aplikasi ini. Beberapa pengguna mengeluhkan masalah teknis, kesalahan data, atau layanan pelanggan yang kurang responsif. Tujuan dari penelitian ini yaitu melakukan analisis sentimen dari ulasan pengguna aplikasi SIGNAL yang tersedia di Google Play Store dengan menggunakan metode Naïve Bayes Classifier. Penelitian ini juga bermaksud untuk mengetahui faktor-faktor yang mempengaruhi kepuasan dan ketidakpuasan pengguna dan rekomendasi terhadap pengembang aplikasi untuk meningkatkan kualitas layanan dan fitur yang ditawarkan. Setelah dilakukannya penelitian ini penulis berharap dapat berkontribusi terhadap pengembangan ilmu pengetahuan dan teknologi, khususnya dalam bidang analisis sentimen dan Aplikasi Samsat Digital Nasional (SIGNAL).

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“…Rumusnya adalah menyatukan prior probability dan conditional probability untuk menghitung probabilitas setiap kemungkinan pada klasifikasi. [12].…”

Section: Klasifikasi Naïve Bayesunclassified

Analisis Sentimen Ulasan Pengguna Aplikasi Samsat Digiital Nasional (Signal) Dengan Menggunakan Metode Naïve Bayes Classifier

Rahman,

Hasanah,

Heryana

2024

JITET

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“…Text mining is the process by which data sources are usually obtained from documents to search words that can represent the contents of the document so that analysis can be carried out (Yulita, 2021). The purpose of text mining exists to get useful information from a set of documents, data used in text mining is a set of text that has an unstructured format or minimal semi-structure.…”

Section: Text Miningmentioning

confidence: 99%

Implementation Opinion Mining For Extraction Of Opinion Learning In University

Purba

Yadi²

2023

SinkrOn

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Opinion mining is a field of Natural Language Processing (NLP) that is used to carry out the process of extracting and processing textual data which functions to obtain information through sentiment analysis from a document in the form of text, among others, to detect attitudes towards objects or people. Sub-processes in opinion mining can use documents of subjectivity, opinion orientation, and detection targets to find out the data used as sentiment analysis, sentiment analysis aims to assess emotions, attitudes, opinions, and evaluations conveyed by a speaker or writer towards a product or towards a public figure. In this study, an opinion mining system was developed to analyze learning in college. The methodology used is quantitative descriptive, while the processing of sentiment analysis data uses Azure machine learning. Sentiment analysis results are very good at assessing opinions or opinions and emotions, and attitudes conveyed by someone. The learning process is the main element that must run well so that competency and achievement in learning can be maximally conveyed to students. Documents that identified opinions were then classified into negative, neutral, and positive opinions based on the results. In general, it can be concluded that the value obtained by sentiment analysis using Azure Machine Learning tools is quite good, judging from the results of a positive class of 0.79 and a neutral class of 0.53. The use of cleaning and labeling techniques and other classifications is still very possible to use. To get a better accuracy value.

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“…Teknik ini menggunakan Teorema Bayes untuk memprediksi probabilitas bahwa set fitur yang diberikan milik label tertentu [8]. Penelititan ini bertujuan untuk membangun sebuah model dari klasifikasi ulasan pada game Genshin Impact yang tersedia pada platform Google Play, sehingga dengan model yang dihasilkan dapat memberikan rekomendasi bagi pengembang untuk perbaikan.…”

Section: Pendahuluanunclassified

Analisis Sentimen Game Genshin Impact pada Play Store Menggunakan Naïve Bayes Clasifier

Primandani Arsi,

Pungkas Subarkah,

Bagus Adhi Kusuma

2023

Juritek

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Online games are an entertainment medium that cannot be separated from some groups of people, especially during the co-19 pandemic. The existence of a policy of violence reduces the interaction of people in the world, including in Indonesia, resulting in an increase in online activity, especially playing games. Game is an interesting online gaming platform, where players can still interact socially boldly. Genshin Impact is a mobile game that provides other platforms such as PC, PlayStation and Nintendo Switch. Although some people like this game, others are not satisfied with the game play. Sentiment analysis is also very useful when game developers want to know what users think about the game experience. This research aims to build a model of the classification of reviews on the Genshin Impact game available on the Google Play platform, so that the resulting model can provide recommendations for developers for improvement. The results obtained are reviews on the Google Play Store tend to be positive with an accuracy score of 87%, precision of 67%, memory of 98%, and f1 score of 67%. Evaluation is done by comparing the model that has been obtained in this study with the previous model with the same algorithm.

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Analisis Sentimen Terhadap Opini Masyarakat Tentang Vaksin Covid-19 Menggunakan Algoritma Naïve Bayes Classifier

Cited by 26 publications

References 15 publications

Analisis Sentimen Ulasan Pengguna Aplikasi Samsat Digiital Nasional (Signal) Dengan Menggunakan Metode Naïve Bayes Classifier

Analisis Sentimen Ulasan Pengguna Aplikasi Samsat Digiital Nasional (Signal) Dengan Menggunakan Metode Naïve Bayes Classifier

Implementation Opinion Mining For Extraction Of Opinion Learning In University

Analisis Sentimen Game Genshin Impact pada Play Store Menggunakan Naïve Bayes Clasifier

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