Raffael, . (2024) VISUALISASI HASIL ANALISIS SENTIMEN PENGGUNA APLIKASI PAHAMIFY BERDASARKAN ULASAN PADA GOOGLE PLAY STORE MENGGUNAKAN METODE ALGORITMA NAÏVE BAYES BERBASIS WEB. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Online learning has become one of the technological advances in education, especially in facing the challenges of the COVID-19 pandemic. One of the popular online learning apps is Pahamify. Pahamify offers various features to help students prepare for exams and improve understanding of the material. However, as is the case with many apps, Pahamify also has weaknesses, including low student interest in learning and difficulty in understanding the material online. Evaluation of its quality can be done through sentiment analysis, which is a technique to identify and understand the opinions or sentiments of users based on the reviews given. This research uses the Naïve Bayes Classifier method to analyze user sentiment towards the Pahamify application based on reviews on the Google Play Store. The review data collected from August 2020 to May 2022 was then manually labeled by several annotators. The data will go through various stages before classification such as preprocessing, word weighting with the Term Frequency - Inverse Document Frequency (TF-IDF) method, and data division. The results show that the Naïve Bayes classification model produces good accuracy, with accuracy values reaching 86%, recall of 95%, and precision of 84% using a training and test data ratio of 90:10. In addition to the classification results, the research also created a data visualization in the form of Word Cloud to identify key words that often appear in positive and negative reviews. Another output obtained is a simple system for predicting labels based on the given review data.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010512058] [Pembimbing 1 : Nurhafifah Matondang] [Pembimbing 2 : Erly Krisnanik] [Penguji 1: Rio Wirawan] [Penguji 2: Zatin Niqotaini] |
| Uncontrolled Keywords: | Sentiment Analysis, Google Play Store, Naïve Bayes, Pahamify |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | RAFFAEL |
| Date Deposited: | 19 Jun 2024 01:23 |
| Last Modified: | 09 Sep 2024 01:57 |
| URI: | http://repository.upnvj.ac.id/id/eprint/30250 |
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