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SMART MARKETING: STRATEGI PROMOSI PENGRAJIN GENTENG BERBASIS WEB MOBILE Kasmi, Kasmi; Zahra, Fista Anisa; Muslihudin, Muhamad
Jurnal Signaling Vol 13, No 1 (2024): Jurnal Signaling
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/signaling.v13i1.1685

Abstract

The gem tile industry is an industry in Sidoharjo Village, Pringsewu District which is engaged in clay tile, and the type of tile produced is mantili tile from plain tile. However, based on the results of observations that have been made, it is known that the sales system that is carried out still uses the conventional system, starting from the ordering process, and the payment process. By going directly to the tile selling point, selling in this way takes a long time in the process of selling the product, so this system is felt to be less effective and efficient if you only rely on this method. With this method, tile sales revenue will not experience a significant increase. The methodology used in this study is to use the waterfall model because by using this method the company can have a clear and measurable system workflow sequence. From this research, the results obtained are the implementation of a website-based tile sales information system that was created to make it easier for owners to carry out product promotions and marketing effectively and efficiently, make it easier for customers to find information quickly and accurately, just by looking at the website, and make it easier when paying. Based on the results of the study and discussion of the design of a website-based gem tile sales application that was created to assist in promotion, marketing and introducing new consumers to products in the gem tile industry, and a system designed to make it easier for users to access data and information that takes place quickly, accurately, effectively and efficient.
SENTIMENT ANALYSIS OF THE GOPAY APPLICATION USING THE NAIVE BAYES METHOD BASED ON USER REVIEWS Gumanti, Miswan; Aprianto, Rudi; Zahra, Fista Anisa; Muslihudin, Muhamad
IJISCS (International Journal of Information System and Computer Science) Vol 9, No 3 (2025): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v9i3.1865

Abstract

The development of financial technology, particularly digital wallet applications, has made significant progress in Indonesia. One of the most widely used applications is GoPay, which offers various conveniences in conducting financial transactions. However, despite GoPay 's many advantages, user responses to this application are not always positive. Some users provide negative comments reflecting their less than satisfactory experiences. In this context, this study aims to analyze sentiment from user reviews of the GoPay application using the Naive Bayes method, which is known to be effective in text classification. This method was chosen because of its ability to classify data well, even in large and diverse datasets. This study involved data collection from platforms Using Kaggle, 1,000 reviews were randomly selected for further analysis. The analysis revealed that positive comments predominated among the reviews. This indicates that the majority of users had a positive experience with the GoPay app, although there were also a number of negative reviews worth noting.