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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Student Development Information System (JoSDIS)
Rambe, Tiara Syavitri
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Computer Science & IT

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Sentiment Analysis of Beauty Product Applications using the Naïve Bayes Method Rambe, Tiara Syavitri; Hasibuan, Mila Nirmala Sari; Dar, Muhammad Halmi
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.12303

Abstract

The number of beauty products that appear on the market makes every producer compete in attracting consumers. One of the facilities provided by manufacturers to make it easier for consumers to shop is an online shopping application that can be accessed via gadgets. Where the feature of the application is the availability of user review services User reviews are often used as a recommendation for the product to be purchased. The more positive the reviews that appear, the greater the consumer's confidence to buy the product; conversely, the more negative the reviews that appear, the more reluctant consumers are to buy. This study aims to find out how much accuracy the Naïve Bayes algorithm has in conducting sentiment analysis on user reviews of beauty product applications with different combinations of training and test data. Furthermore, it is also important to know the frequency of words that often appear in the review. The sentiment class used is divided into three, namely, positive, negative, and neutral. This research method includes a number of stages, namely: data collection, data labeling, text pre-processing, data visualization, TF-IDF, sentiment analysis, etc., until the results are obtained. This research has produced the highest accuracy rate of 90.08% in the Naïve Bayes algorithm, with a composition of 90% training data and 10% test data. While the word that often appears in user reviews is "application," with a frequency of 446 occurrences, it is followed by the word "product," 444 times, and the word "price," 312 times. The greater the amount of training data used, the higher the level of accuracy resulting from the Naïve Bayes algorithm. Meanwhile, the greater the amount of test data used, the lower the resulting accuracy value.
Penerapan Sistem Informasi Perpustakaan Berbasis Web Pada Perpustakaan Umum Rantauprapat Irfankha, Reyfo; Rambe, Tiara Syavitri; Nasution, Marnis; Juledi, Angga Putra; Harahap, Syaiful Zuhri
Journal of Student Development Information System (JoSDIS) Vol 6, No 1: JoSDIS | Januari 2026
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/josdis.v6i1.9022

Abstract

The implementation of a Web-Based Library Information System at the Rantauprapat Public Library aims to increase efficiency and effectiveness in managing library resources. This information system integrates various library functions, such as book cataloging, borrowing, returns, and member management, into a single web-based platform. By using web-based technology, libraries can make access easier for visitors to search for information and borrow online, without being limited by time and place. This research identifies the system's technical and functional requirements and evaluates its impact on library services and visitor satisfaction. The results of implementing this system show an increase in data accuracy, a reduction in service times, and a reduction in administrative errors. Apart from that, this system also makes it easy for visitors to access library information more efficiently. It is hoped that the implementation of this web-based library information system can become a model for other libraries in an effort to improve the quality of library information services in the digital era.
Co-Authors Hasibuan, Mila Nirmala Sari Irfankha, Reyfo Juledi, Angga Putra Muhammad Halmi Dar Nasution, Marnis Syaiful Zuhri Harahap