This study aims to determine the influence of Digital Marketing, Taste and Promotion variables on Purchasing Decisions at Mi Ayam and Bakso 45 Burengan. This type of research is quantitative research. The data for this study were obtained through questionnaires, interviews, and literature studies. The analysis techniques used were Validity Test, Reliability Test, Classical Assumption Test, Multiple Linear Regression Analysis, t-test, F-test and Determination Coefficient Test. The results of the t-test of the digital marketing, taste and promotion variables had a significant partial effect on purchasing decisions with sig <0.05. The results of the F test can be concluded that digital marketing, taste and promotion have a simultaneous and significant effect on Purchasing Decisions at Mi Ayam and Bakso 45 Burengan with sig. <0.05.

Penelitian ini berfokus pada penerapan metode Exploratory Data Analysis (EDA) untuk menganalisis dataset publik tentang lemak tubuh. Masalah yang diidentifikasi adalah pentingnya memahami pola distribusi dan hubungan antar variabel dalam dataset lemak tubuh. Penelitian ini memanfaatkan dataset lemak tubuh yang mencakup berbagai pengukuran lingkar tubuh pria, seperti berat badan, tinggi badan, dan persentase lemak tubuh. Solusi yang ditawarkan melibatkan serangkaian langkah EDA, termasuk pembersihan data, analisis univariat dan multivariat, serta visualisasi data menggunakan grafik seperti histogram, scatter plot, dan heatmap. Penanganan outlier dan rekayasa fitur seperti Body Mass Index (BMI) dilakukan untuk meningkatkan kualitas data dan menghasilkan wawasan baru tentang distribusi lemak tubuh. Hasil penelitian menunjukkan hubungan kuat antara persentase lemak tubuh dengan variabel seperti berat badan, lingkar perut, dan kepadatan tubuh. Sebagian besar individu dalam dataset berada dalam kategori BMI normal, dengan perbedaan distribusi ukuran tubuh berdasarkan kategori BMI. Hasil dari penelitian ini adalah dengan menggunakan EDA yang menyeluruh, yang mencakup analisis univariat dan multivariat, pola dan hubungan antara persentase lemak tubuh dan variabel lain seperti berat badan, tinggi badan, usia, dan lingkar tubuh telah ditemukan. Penelitian ini merekomendasikan pengembangan model prediktif berbasis machine learning dengan menggunakan dataset lemak tubuh.

Streetboba & Gildak Kediri outlet is a restaurant that serves a variety of Korean food menus and various kinds of drinks with boba and jelly toppings that are sold at low prices that suit the student's budget. This restaurant is located in East Java province which is precisely on Jalan Yos Sudarso No.43, Kediri City. With technological advances that continue to grow to affect various aspects, especially in the business and industrial world. Sentiment analysis is a technology that extracts or manages text to be expressed using text that can also be classified into positive and negative polarity. Consumer reviews are a form of communication that occurs in the sales process, the stage where potential buyers receive an explanation of the product posted and buyers receive reviews that explain the advantages or disadvantages of purchasing the product. In this study, sentiment analysis was conducted based on consumer opinions regarding social media accounts. The study aimed to use social media data to assess the service, cleanliness and quality of products offered by categorizing companies as having positive and negative reviews. To classify sentiment, the Naive Bayes method is used, which combines survey data collection methods, questionnaires, and observation data.

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.

Harvesting is a crucial stage in the palm oil production process that impacts the efficiency and productivity of the plantation. Choosing the right harvesting method can increase the effectiveness of time and labor. This study compares harvesting efficiency using manual and mechanized methods by measuring the duration of fruit harvest and transportation time to the collection point (TPH). This study was conducted in November–December 2024 at PT. Kencana Sawit Indonesia, located in Talao Sungai Kunyit, South Solok, West Sumatra. The equipment used included stationery, a stopwatch, and data related to working time and harvest results. Data were collected through direct observation. The analysis was carried out using the t-student statistical test to evaluate the difference in working time between the manual and mechanized methods. The results showed that harvesting with mechanization was more efficient than the manual method. The difference in harvest time reached 12 seconds per bunch with a P value of 0.0002, while the transportation time to the TPH was 23.48 minutes faster per ton with a P value <0.0001. Monthly production with mechanization averaged 48.69 tons, while the manual method only produced 38.13 tons per month. Thus, the use of mechanized harvesting methods has proven to be faster in the harvesting process, fruit transportation, and increasing monthly production results. The implementation of mechanization can be a strategic step to increase operational efficiency and productivity of oil palm plantations.

There is a problem in the inequality of physical education teachers experiencing many complaints from private physical education teachers regarding the low income they get far from expectations. Not a few of the teachers they look for side jobs in meeting their daily needs. This research is a quantitative descriptive research, which intends to find out and find information and a description of how to survive physical education teachers and this research uses interviews and data collection given to physical education teachers. The subject of this research is the participants of the National Seminar on Physical Education, Sports and Health for Milleneal Primary Schools which is held through the zoom application teleconference, the number of physical education teachers at the elementary school level who participated was 43 people. In this study using the Explanatory Sequential Mixed Methods method with data collection in the form of geogle form. For quantitative data analysis using the mean difference test and the craw association test to determine differences in the status of physical education teachers for qualitative data using the typification method and word gorization of physical education teachers based on their survival strategies. With the results of data analysis and typology categorization, it can be concluded that 1) There is income inequality between private and public employee teachers. 2) There is no relationship between employment status and their survival activities, and (3) There are four ideal types of teachers' survival strategies based on their employment status and survival strategies.

This research aims to determine the perceptions of physical education teachers in Cimahi, West Java regarding the designation of esports as a sport by the Ministry of Youth and Sports. Esports is an electronic sport that relies on an internet connection by presenting competition either as a team or individually to win matches that prioritize strategy without physical clashes. The method in this research uses a qualitative case study approach involving 10 selected physical education teachers in the city of Cimahi, West Java, where quite a lot of schools present esports extracurriculars through interview observations and data analysis documentation loaded in the NVivo 12 software application. The results obtained from this application is that all participants agree to the KEMENPORA's policy of classifying esports as sports. Esports also has a lot of relevance to the values ??that grow in the school environment, including: critical thinking, creativity and courage to make decisions. The conclusion of this research is that esports is currently developing in several big cities and there is a need for equitable distribution through outreach to the community, schools and parents of students. In this way, esports is no longer considered an unproductive activity but rather a sport that is being carried out without physical conflict, but must always be monitored and accommodated the potential of students by the school and the parents of the children concerned

This research aims to examine the relationship between ethical values ??in educational philosophy and students' social involvement in higher education. Through a literature review and qualitative data analysis, this research reveals that ethical values ??such as justice, responsibility and empathy embedded in educational philosophy have a significant influence on students' motivation and actions in participating in social activities. Students who have a strong understanding of ethical values ??tend to be more proactive in making positive contributions to society

Default, or breach of contract, is a common problem in business transactions and can have significant impacts, both financially and non-financially. This article analyzes the various forms of default, such as failure to fulfill obligations, delays, or non-performance in accordance with the agreement. The impact of default is not only directly related to financial losses—for example through fines or damages—but can also damage business relationships and the company's reputation. Therefore, good contract design is very important in reducing this risk. Effective contract design should include clear clauses regarding obligations, deadlines, and sanctions that apply in the event of a breach. Penalty clauses are often used to provide incentives for the parties involved to fulfill their obligations. Furthermore, in the context of globalization and international transactions, it is important for contracts to include clear dispute resolution mechanisms, such as mediation or arbitration, to avoid escalation of problems. This article aims to provide practical guidance for companies in designing contracts that not only reduce the risk of default, but also ensure the sustainability of mutually beneficial business relationships. With a thorough understanding of legal risks and the implementation of appropriate mitigation measures, companies can maintain smooth operations and prevent major losses due to default.
 
Keywords : Default, Breach Of Contract, Contract Drafting, ,, , Mediation, Arbitration, Corporate Reputation, Risk Management.

Indonesia has consistently failed to meet its tax revenue targets in recent years, primarily due to extensive shadow economy activities aimed at tax evasion. This study seeks to measure the sensitivity of cash demand in estimating the shadow economy across Indonesia's 34 provinces during the post-tax amnesty period from 2016 to 2022 and to assess its impact on potential tax revenue losses. Utilizing a quantitative methodology, the research employs panel data regression with a Random Effects Model. The shadow economy is estimated using a monetary approach model based on cash demand sensitivity. The dependent variables include total currency demand and potential tax revenue, while the independent variables comprise tax burden, inflation rate, Gross Regional Domestic Product (GRDP), financial and technological innovation (represented by internet use for financial purposes), and the shadow economy. The findings reveal that the tax burden, inflation, and financial/technological innovations do not significantly influence cash demand, whereas income has a significant positive effect. Moreover, the shadow economy substantially affects potential tax revenue losses. On average, the shadow economy across the 34 provinces amounts to IDR 292.152 billion, with an average potential tax revenue loss of IDR 35.306 billion