Cryptocurrency trends, especially Bitcoin, have gained a place in a group of people and there are even countries that already use Bitcoin as a legal transaction tool. The dynamics that occur in this Bitcoin trend make many new users. This lack of understanding of the technology can cast doubt on those who want to get started, so it is necessary to conduct sentiment analysis to increase knowledge of what Bitcoin is and how it works. This study aims to conduct a Sentiment Analysis regarding Bitcoin through Twitter social media, so that their opinion on this technology will be known. The method used is by using Tweet data that has been downloaded on the www.data.world.com website. The data is the result of using the Crawling technique, then sentiment analysis is carried out to classify a tweet into Neutral, Positive, or Negative. The results showed that from the 1998 dataset, 46.69% were classified as Neutral, then Positive, 43.54%, and 9.75% Negative.

Text Pre-Processing is the first step in Sentiment Analysis. Categorizing a sentiment in a dataset is part of the Text-Preprocessing stage to get the optimal model accuracy value. Generative Pretrained Transformer, often known as Chat GPT, is a Machine Learning model that can automatically generate realistic and meaningful text. This study aims to examine the capability of GPT Chat as an alternative in the Text-Pre-Processing stage by utilizing GPT Chat 3 from the openai.com website in the Text-Pre-Processing stage of the collected tweet data. The data used in this research is the result of crawling Twitter by inserting the keyword "Chat GPT”. This study method was carried out by measuring performance using the K-Nearest Neighbor and Naïve Bayes Algorithms to find the best performance value and compare it with the Text-Preprocessing generated by Rapidminer. It is shown that the performance accuracy produced using the K-Nearest Neighbor Algorithm is 73.57% using the Linear Sampling method. The comparison result with the Text-Preprocessing method using Rapidminer indeed shows a better accuracy of 75.33%, which means it has a narrow difference of 1.76% with the Chat GPT Text Pre-Processing method. However, both are still in the same category, which is Fair Classification. The results of this research show that Chat GPT can be an alternative in Text-Preprocessing datasets for sentiment analysis.

Pariwisata adalah kegiatan mengunjungi objek wisata dengan tujuan rekreasi dan liburan. Seiring perkembangan di dunia teknologi dan informasi, terdapat teknologi yang dapat digunakan untuk mempromosikan suatu objek wisata yang dinamakan dengan Virtual Reality. Virtual Reality merupakan teknologi yang dirancang untuk membuat pengguna dapat berinteraksi dengan lingkungan yang disimulasikan komputer. Masalah yang dihadapi adalah masih sedikitnya situs web wisata yang menyediakan fitur ini. Teknologi Virtual Reality dalam dunia fotografi dikenal sebagai Virtual Reality Photography. Virtual Reality Photography dapat menghasilkan gambar secara 360o, sehingga orang dapat melihat gambar secara utuh dan seolah-olah berada di tempat ketika fotografer sedang mengambil gambar. Tujuan penelitian ini adalah merancang dan membangun sebuah situs web penyedia informasi bagi wisatawan yang ingin berkunjung ke objek wisata. Metode pengembangan yang digunakan adalah Multimedia Development Life Cycle. Luaran penelitiannya berupa situs web Virtual Reality Photography yang menyediakan informasi dalam bentuk gambar 360o dengan dilengkapi peta lokasi dan gambar statis. Teknologi Augmented Reality dapat diterapkan di situs web ini sebagai bentuk sajian informasi seperti halnya teknologi Virtual Reality.  

The aim of the research is was to predict the scholar recipient for Peningkatan Prestasi Akademik (PPA) and the Kartu Indonesia Pintar Kuliah (KIP-K). The prediction results of scholarship recipients will provide information in the form of the possibility of acceptance and non-acceptance of scholarship applicants. To achieve this goal, this study uses the Naive Bayes algorithm, where this algorithm predicts future opportunities based on past data by going through the stages of reading training data, then calculating the number of probabilities and classifying the values in the mean and probability table. The data analysis includes data collection, data processing, model implementation, and evaluation. The data needed for analysis needs to use data from the applicants for Academic Achievement Improvement (PPA) scholarship and the Indonesia Smart Education Card (KIP-K) scholarship. The data used for training data were 145 student data. The results of the study using the Naive Bayes algorithm have an accuracy of 80% for PPA scholarships and 91% for KIP-K scholarships.

<p class="Abstract"><span lang="EN-US">Tourism is the activity of visiting tourist objects for recreational and leisure purposes. Along with developments in the world of technology and information, there is a technology that can be used to promote a tourist attraction called Virtual Reality. Virtual Reality is a technology designed to allow users to interact with a computer-simulated environment. The problem is that there are still very few travel websites that provide this feature. Virtual Reality technology in the world of photography is known as Virtual Reality Photography. Virtual Reality Photography can produce images in 360</span>^o<span lang="EN-US">, so people can see the image as a whole and as if they were in place when the photographer was taking pictures. The purpose of this research is to design and build a website that provides information for tourists who want to visit tourist objects. The development method used is the Multimedia Development Life Cycle. The output of his research is a Virtual Reality Photography website that provides information in the form of 360^o images equipped with location maps and static images. Augmented Reality technology can be applied on this website as a form of information presented as well as Virtual Reality technology.<em></em></span></p><p class="Keywords"><span lang="EN-US">Keywords— Information, Multimedia, Tourism, Virtual Reality, Web</span>.</p>