Abstract
The Samsung Galaxy Z Flip 3 is one of the gadgets that are currently popular among the public because of its unique shape and features. Youtube is one of the social media that can be accessed and enjoyed by the public, one of which is gadget review content on the GadgetIn channel. Youtube can provide information, whether people accept or are interested in this new gadget or not. This study aims to determine the sentiment of a gadget producer. Based on the results of the analysis and testing that has been carried out on the Youtube comments of the Samsung Galaxy Z Flip 3 gadget with a total of 9,597 comments, more users gave positive opinions in the design aspect and negative opinions on the price, specifications and brand image aspects. By using the CRISP-DM model and comparing the Naïve Bayes (NB), Support Vector Machine (SVM), and k-Nearest Neighbor (k-NN) classification methods, it is proven that the SVM classification model shows the best results. The average accuracy of SVM is 96.43% seen from four aspects, namely the design aspect of 94.40%, the price aspect of 97.44%, the specification aspect of 96.22%, and the brand image aspect of 97.63%.
Highlights
The Samsung Galaxy Z Flip 3 is one of the gadgets that are currently popular among the public because of its unique shape and features
Rata-rata accuracy Support Vector Machine (SVM) sebesar 96.43% dilihat dari empat aspek, yaitu aspek desain sebesar 94.40%, aspek harga sebesar 97.44%, aspek spesifikasi sebesar 96.22%, dan aspek citra merk sebesar 97.63%
Rata-rata accuracy Support Vector Machine (SVM) sebesar 96.43% model algoritma mempunyai hasil yang baik
Summary
Berdasarkan beberapa penelitian terdahulu mengenai metode klasifikasi dan penggunaan SMOTE untuk mengatasi imbalance class, maka dalam penelitian ini akan dipaparkan perbandingan metode klasifikasi NB, SVM, dan k-NN menggunakan SMOTE. Penelitian ini juga membagi dataset menjadi beberapa aspek, yaitu aspek desain, harga, spesifikasi, dan citra merk. Metode NB, SVM, dan k-NN merupakan teknik. Tahap ini merupakan tahap pemahaman mengenai objek penelitian yang dilakukan. Penelitian dilakukan dengan mencari informasi melalui media Youtube, kemudian mencari komentar pada video mengenai gadget Samsung Galaxy Z Flip 3. Keluaran dari penelitian ini adalah dapat melalui Youtube. Dataset penelitian berupa teks mengetahui algoritma dengan tingkat accuracy, recall, komentar Youtube bahasa Indonesia mengenai Gadget precision, dan F-measure terbaik dalam klasifikasi Samsung Galaxy Z Flip 3. Berdasarkan Tabel 1, total komentar Samsung Galaxy Z Flip 3. Komentar yang didapatkan dari video yang diunggah dari bulan Agustus hingga September 2021 sebanyak
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
