Twitter is one of the media used by the Indonesian people to express their opinions regarding the 2024 Presidential Election. However, there is no scientific calculation that can determine the tone of public opinion regarding the 2024 presidential election. In this study, sentiment analysis was carried out on the tweets of the Indonesian people related to the 2024 Presidential Election (Pilpres 2024). The purpose of this study is to find out the opinions of Indonesian Twitter users regarding the 2024 Presidential Election using Natural Language Processing (NLP) Technology and Long Short Term Memory (LSTM) algorithms. NLP techniques are used to understand natural language and extract meaning from tweet copy, and LSTM is used to analyze the accuracy and accuracy of classification. The data used in this study was 1,004 tweets with the topic "Presidential Election", this data researchers obtained through the process of crawling using the tweet harvest library. In this study, 53.2% had positive emotions, 3.5% had neutral emotions, and 43.3% had negative emotions. 78% accuracy, 67% precision, and 67% recall.

Purpose: The cardiovascular system is a vital system responsible for the distribution of oxygen and nutrients throughout the body. The complexity of interactions between the heart and blood vessels often presents challenges in monitoring and analyzing health conditions. The research proposes the development of a Human Digital Twin (HDT) for the cardiovascular system through application of two different modelling approaches geometric modeling and physic-based modeling. Through this model physical conditions can be represented and real time data integrated to offer insights into the dynamics of the cardiovascular system.
Methods: This model development is based on two major components: a geometric modeling and a physic-based modeling. The geometric model is done in 3D to show the structure of the heart in detail, while the physical-based model is tabulated with different measurable physical parameters in the cardiovascular system, such as blood pressure and flow rate. This information is integrated into the Five Dimension Digital Twin model, including physical, virtual, data, connection, and service dimensions for the accurate simulation of cardiovascular conditions.
Result: Results confirm that the Five-Dimensional Digital Twin (DT) could give further development to how the dynamics of the cardiovascular system behave, possibly in real-time updates on conditions and a supply of data that is far more detailed in view of analyzing risk and further representation of specific cardiovascular disorders while providing personalized medical support.
Novelty: The Five-Dimensional Human Digital Twin Model (HDTM) developed in this research introduces novel innovations in the monitoring and simulation of the cardiovascular system through the application of geometric and physic-based modeling techniques. This approach offers a higher level of detail, compared to previous models, and added value for the advancement of health technology by integrating real time data into the simulations. This model serves not only as an advanced analytical tool but also as a reference for further research on DT technology in the medical field.

This research aims to test and analyze the influence of Leadership Style and Organizational Culture on employee performance at the Pondok Cabe Open University Head Office.This research design is quantitative with an associative type. This research uses primary data. The population used was 81 employees of the Pondok Cabe Open University Head Office. This research method used is a quantitative method that is associative with a sampling technique, namely a saturated sample. The data analysis technique used was multiple linear analysis using SPSS version 2.0.The results of this research show that leadership style has a positive and significant effect on employee performance at Pondok Cabe Open University. Organizational culture has a positive and significant effect on employee performance at Pondok Cabe Open University. Leadership Style and Organizational Culture have a positive relationship and have a significant effect on Employee Performance at Pondok Cabe Open University.

Stock investments that provide high returns, but the higher the benefits offered, the higher the risk that will be faced in investing, especially if it is not supported by knowledge of analyzing stocks. This study utilizes the Data Mining prediction technique with the Linear Regression algorithm on the shares of PT. Aneka Tambang Tbk or ANTM. The dataset that will be used is downloaded through the Yahoo Finance website in the period January 2016 - March 2021. In this study the analytical method used is SEMMA (Sample, Explore, Modify, Model, Assess). With RapidMiner Studio 9.9 tools. The result of testing the RMSE (Root Mean Squared Error) value is 17.135, MSE (Mean Squared Error) is 293.599 and the MAPE (Mean Absolute Percentage Error) value is 1.87%. Based on the MAPE, the accuracy of the Linear Regression algorithm in predicting the stock price of PT. Aneka Tambang Tbk provides high-accuracy predictions.

This article discusses the phenomenon of healing beliefs in Javanese and Japanese culture which is presented through the narrative of the novel Pingkan Melipat Distance by Sapardi Djoko Damono. The novel explores the complexities of cross-cultural relationships, highlighting the traditional beliefs that influence the way the main character, Pingkan, deals with emotional and identity crises. In Javanese culture, healing beliefs are rooted in harmony between spirituality, nature and the body, while in Japanese culture, balance between the body, mind and environment is the main foundation. This article finds that through Pingkan's journey, this novel represents a cross-cultural dialogue that not only connects local and global values ??but also opens up space for reflection on identity and healing in the modern era. With a literary approach and cultural perspective, this article presents an in-depth understanding of how healing traditions contribute to the sustainability of cultural values as well as being a tool to face the challenges of globalization.