The technology of the metaverse has been a topic of discussion in the tech sector recently, and the implementation of the metaverse in the future is one of the most anticipated things for internet users around the world, allowing users to become the avatar they want in the virtual universe. To see how someone approaches metaverse technology, we can analyze it by looking at various opinions that emerge from the sentiment of internet users, one of which is from the social media Twitter. This study aims to analyze the sentiment of Twitter users' opinions, which is one of the most popular internet social media platforms. The researcher collects tweet data using the snscrape library in the Python programming language, a tool for mass data collection from Twitter. Then, the analysis of the sentiment of Twitter user opinions is carried out using the Lexicon Based method, which is a method that uses a dictionary of words to categorize the sentiment of a text. The results of this study show that the Lexicon Based method can classify the sentiment of Twitter user opinions related to metaverse technology with an accuracy value of 84%. This shows that the results of sentiment analysis using the Lexicon Based method have a good level of accuracy in performance in analyzing the sentiment of Twitter user opinions related to metaverse technology.

The study investigates the use of powerful machine learning approaches to the real-time detection of phishing URLs, addressing a critical cybersecurity concern. The dataset we utilized in this research work was collected from the University of California Irvine (UCI) Machine Learning Repository. It has 235,795 instances with fifty-four distinct parameters. The label class is of binomial type and has only two target classes. We used a range of complex algorithms, including k-nearest neighbor, naive Bayes, decision trees, random forests, and random tree, to assess the discriminative characteristics retrieved from URLs. The random forest classifier beat the other classifiers, reaching the greatest accuracy of 99.99%. The study demonstrates that these models achieve superior accuracy in identifying phishing attempts, significantly outperforming traditional detection methodologies. The findings underscore the potential of machine learning to provide a scalable, efficient, and robust solution for real-time phishing detection. Implementing these innovative platforms to existing security solutions is going to play a critical role in sustaining the protective line against continuously evolving and persistent phishing schemes.

The quality of the internship activities can contribute to the participants as experiences it can be used as provisions for student self-development. The Good management consistency needs to be done by the school, so the implementation of the apprenticeship can run as well and provide valuable experience. Moreover, good management certainly requires careful and measured planning. The preparation of participants have to able to adjust the conditions of the internship before implementation needs to considered, so the participants can adaptation with the new environment. The Architectural modeling have to be able on handling the apprenticeship management system on the create right model on solving problem. Through out the Framework test results applied to the apprenticeship data management model, the Zachman Framework which was applied in the development of the apprentice management system architecture model proved to able a positive solution for the implementation of the apprenticeship model. This is determined based on the results of user testing where 73.79% expressed satisfaction with the internship service that is the correlation value between the variable X to Y has a degree of closeness of 0.512 which has a strong meaning.

Micro, Small, and Medium Enterprises (MSMEs) struggle to compete in the global market, especially those producing halal products. Information system support is one solution that can solve the complex supply chain problem from producers to consumers. The objective of this study is to develop a Geographic Information System (GIS) supported by multivariate analysis for the digitalization of Supply Chain Management (SCM) of halal products in MSMEs located in West Java, Indonesia. Six attributes were evaluated: information technology, human resources, collaborative relationship, halal certificate, and SCM implementation as independent variables, and halal products as dependent. The results of the ANOVA test show that the six attributes are significantly different (p<5%). In addition, based on the Pearson correlation, only the collaborative relationship, human resources, and halal certificate attributes correlate more than 80%. The SCM analysis shows that supplier, manufacturing, and raw materials factors are the main levers in the halal product supply chain. A GIS-based information system was successfully developed, with satisfactory user acceptance results for usability, efficiency, reliability, and functionality. The results of this study indicate that this GIS-based system can help distribute halal products in MSMEs, especially those in the West Java area, Indonesia.

Abstrak - Dalam pemberian beasiswa ada berbagai peraturan yang harus dipenuhi oleh mahasiswa penerima beasiswa selama masa perkuliahan. Peraturan tersebut tertuang dalam surat peranjian program beasiswa, ketaatan terhadap peraturan tersebut akan selalu dievaluasi secara berkala, sehingga dapat yang menentukan status mahasiswa beasiswa. Proses monitoring mahasiswa program beasiswa Universitas Nusa Putra dilakukan secara konvensional dinilai kurang efektif. Sistem informasi monitoring mahasiswa program beasiswa yang terintegrasi merupakan salah satu solusi yang dapat membantu proses monitoring tersebut. Service Oriented Architecture (SOA) yang digunakan pada sistem informasi tersebut memberikan agility dan reusability pada layanannya. Yang menjadi objek penelitian yaitu mahasiswa program beasiswa, bidang akademik dan kemahasiswaan di Universitas Nusa Putra. Berdasarkan hasil pengujian pengguna menyatakan 86% puas pada layanan monitoring beasiswa tersebut, dimana derajat keeratan 0.656 dari nilai korelasi variable X kepada Y yang berarti kuat. Sehingga melalui penelitian ini memberikan kontribusi terhadap pengguna untuk dapat meningkatkan salah satu pelayanan perguruan tinggi yang lebih baik. Abstract - In giving scholarships, there are various regulations that must be met by scholarship recipients during the lecture period. The regulation is stated in the scholarship program agreement letter, compliance with these regulations will always be evaluated regularly, so that it can determine the status of scholarship students. The monitoring process of students at the Nusa Putra University scholarship program conducted conventionally is considered to be less effective. The monitoring information system of integrated scholarship program students is one solution that can help the monitoring process. Service Oriented Architecture (SOA) used in the information system provides agility and reusability to the service. The objects of research are scholarship program students, academics and student affairs at the Nusa Putra University. Based on the test results, the user stated that 86% were satisfied with the scholarship monitoring service, where the degree of closeness was 0.656 from the correlation value of variable X to Y, which means strong. So that through this study contributing to users to be able to improve one of the better tertiary services.

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, the scientific journal of the Mendel University in Brno, Czech Republic