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Penelitian ini bertujuan untuk mengeksplorasi faktor makroekonomi yang mempengaruhi ekspor di Indonesia. Data yang digunakan dalam penelitian ini adalah data sekunder yaitu data ekspor, inflasi, suku bunga, dan nilai tukar pada periode 1998-2022 yang dipublikasikan oleh Badan Pusat Statistik dan Bank Indonesia. Penelitian ini menggunakan pendekatan kuantitatif. Metode analisis data yang digunakan dalam penelitian ini adalah model Vector Error Correction Model (VECM) dengan data time series, data diolah dengan menggunakan program eviews 10. Hasil pengujian VECM dalam jangka panjang inflasi berpengaruh positif dan signifikan terhadap ekspor, suku bunga berpengaruh negatif dan signifikan terhadap ekspor. Untuk jangka pendek inflasi berpengaruh negatif dan signifikan terhadap ekspor, suku bunga berpengaruh positif dan signifikan terhadap ekspor, dan nilai tukar pada jangka panjang dan pendek berpengaruh negatif dan tidak signifikan terhadap ekspor.

Damage that occurs to manufactured goods can occur due to several things, such as in the manufacturing process, in the packaging process or during the delivery process. To find out where when the goods were damaged and the factors causing the damage to the goods as well as the efforts made to reduce the damage to the goods, an investigation was carried out at the time of unloading the goods, to find out where the damage to the goods occurred so as not to harm the recipient of the goods if they received the goods in damage condition.Based on multiple linear regression analysis, the results obtained are Y = 3.133 + 0.044 X1, + 0.402 X2 + 0.299 X3 + . Partial test results of machine (X1), material (X2), man power (X3) have a positive and significant effect on damage goods. It is proven by the results of the comparison of the value of t count with t table and with a significant level comparison of 5% (0.05) where the machine variable t count (0.413) < t table (1.98609), material variable t count (3.142) > t table (1.98609), variable man power t count (2.990) > t table (1.98609). The R2 test of machines, materials and man power gave a significant effect on damage goods by 43.6%, while the remaining 56.4% was explained by other causes outside the model variables that were not examined.

In order to better understand the complex links between infrastructure development, education, tourism, agriculture, and regional economic growth in Indonesia, this study uses structural equation modeling with partial least squares, or SEM-PLS. The research makes use of a 287-observation dataset and applies rigorous measurement model evaluation, bootstrapping analysis, structural model estimation, and model validation against multiple fit indices. The results show a strong positive correlation between each sector—agriculture, tourism, education, and infrastructure development—and regional economic expansion. The necessity for comprehensive, integrated development strategies is highlighted by the interconnectedness of these interactions. In order to promote balanced and resilient regional economic growth, the findings provide policymakers with useful insights and highlight the significance of ongoing investments in infrastructure, education, and sustainable tourism and agricultural practices.    

The application of the VARK (Visual, Auditory, Reading/Writing, Kinesthetic) model in classroom management is a strategy that can offer a more inclusive and effective approach to increasing student achievement. This research aims to explore how the use of the VARK model can improve students' learning experiences and academic performance. The research method used is a literature study, involving analysis of various relevant sources regarding the VARK concept and its application in education. The research results show that by understanding various learning preferences, educators can design learning experiences that better suit students' individual needs. Through the application of various learning strategies, such as the use of pictures and diagrams for visual students, group discussions for auditory students, reading and writing assignments for students who prefer to learn through text, as well as practical activities or experiments for kinesthetic students, students can be more involved in learning and gain a deeper understanding. This research also emphasizes the importance of flexibility in teaching, adapting to changes in student learning preferences, and evaluating the effectiveness of the learning strategies used. Although the VARK model has the advantage of providing guidance for inclusive teaching, it is important to remember that students' learning preferences may change and that various factors also influence their academic performance.

In the 21st century, the acquisition of English as a second language is very important for a group of children in Walal Village who are currently studying at elementary school. This is useful for supporting 6 skills of 21st century education, namely critical thinking, communication, creativity, collaboration, culture and connectivity. Walal Village is one of the model villages in Sorong Regency which has a high enthusiasm for creating the latest breakthroughs, especially in the field of education. Walal Village is located in Salawati District which must be traveled 35 kilometers from Sorong City. Thus, access to information related to education is very limited for children in Walal Village. In this case, students of the Community Service Lecture (KPM) at the Muhammadiyah Sorong Education University provided one month of English literacy assistance for the children of Kampung Walal community. The aim of this assistance is an effort to empower Human Resources (HR) through a community empowerment program for English language learning guidance.  This English literacy assistance is very important to provide to Walal Village children who are already aware of the importance of English around them. This program is also related to the description of the Walal Village Government's vision and mission in developing human resources in terms of quality education. English literacy assistance includes acquiring English, processing language in the form of remembering and memorizing words or terms, and understanding meanings that can be applied to listening, reading, speaking and writing skill activities. The efforts of this English literacy assistance are to change the mindset of the children of Walal Village that learning English is fun, regardless of age, and affordable. In fact, through mentoring, children in Walal Village experience changes in knowledge and attitudes during the English literacy process.

This research aims to determine the effect of the Problem Based Learning (PBL) learning model on student learning outcomes in the Biogeochemical Cycle sub-material in Class X SMA Negeri 1 Darangdan. This research uses a quantitative approach with a Quasi Experimental research method with a Non Equivalent Control Group Design. The population in this study were all class X students of SMA Negeri 1 Darangdan, Purwakarta Regency. The sampling technique was Purposive Sampling with a sample of class X.9 as the experimental class which took part in learning by applying the Problem Based Learning (PBL) learning model and class The variables of this research include the independent variable, namely the Learning Model (PBL Learning Model vs. Conventional Learning Model) and the dependent variable, namely student learning outcomes in the Biogeochemical Cycle sub-material in Class X SMA Negeri 1 Darangdan. The data collection technique uses the Test Method. The instrument used is a multiple choice test. Learning outcome data were analyzed using the Independent Sample T-test. Learning Results of experimental class students achieved good characteristics and the control class only achieved adequate characteristics. The mean post-test for the experimental class was 83.1 and the mean post-test for the control class was 74.04. The results of the Independent Sample t-test show the value of tcount = 3.363 > ttable = 1.989. Because tcount > ttable, Ho is rejected and H1 is accepted, which means that there is a significant difference in student learning outcomes between classes that take part in learning using the Problem Based Learning (PBL) learning model and classes that take part in conventional learning. And also the Sig value. (2-tailed) < 0.05, namely 0.001. So it can be concluded that the Problem Based Learning (PBL) learning model influences student learning outcomes.      

Fraudsters increasingly exploit unauthorized credit card information for financial gain, targeting un-suspecting users, especially as financial institutions expand their services to semi-urban and rural areas. This, in turn, has continued to ripple across society, causing huge financial losses and lowering user trust implications for all cardholders. Thus, banks cum financial institutions are today poised to implement fraud detection schemes. Five algorithms were trained with and without the application of the Synthetic Minority Over-sampling Technique (SMOTE) to assess their performance. These algorithms included Random Forest (RF), K-Nearest Neighbors (KNN), Naïve Bayes (NB), Support Vector Machines (SVM), and Logistic Regression (LR). The methodology was implemented and tested through an API using Flask and Streamlit in Python. Before applying SMOTE, the RF classifier outperformed the others with an accuracy of 0.9802, while the accuracies for LR, KNN, NB, and SVM were 0.9219, 0.9435, 0.9508, and 0.9008, respectively. Conversely, after the application of SMOTE, RF achieved a prediction accuracy of 0.9919, whereas LR, KNN, NB, and SVM attained accuracies of 0.9805, 0.9210, 0.9125, and 0.8145, respectively. These results highlight the effectiveness of combining RF with SMOTE to enhance prediction accuracy in credit card fraud detection.

Implementation of the VARK Model (Visual, Auditory, Reading/Writing, Kinesthetic) in the context of classroom mastery is a strategy that can provide a more inclusive and effective approach in increasing student achievement. This research aims to explore how implementing the VARK model can improve students' learning experiences and their academic performance. The research method used is a literature study which involves analysis of relevant sources regarding the VARK concept and its application in an educational context. The research results show that by understanding diverse learning preferences, educators can design learning experiences that better suit students' individual needs. Through the integration of different learning strategies, such as the use of pictures and diagrams for visual students, group discussions for auditory students, reading and writing assignments for students who prefer learning through text, as well as practical activities or experiments for kinesthetic students, students can be more engaged in learning and gaining a deeper understanding. This research also highlights the importance of flexibility in teaching, adapting to changing student learning preferences, and evaluating the effectiveness of the learning strategies used. Although the VARK model has advantages in providing guidance for inclusive teaching, it is important to remember that students' learning preferences can change and that various factors also influence students' academic performance.

Clean architecture is a method of application development that divides code into multiple layers based on the purpose of the code, ensuring minimal dependency. Popular architectures in Android application development include MVP (Model View Presenter), MVI (Model View Intent), and MVVM (Model View ViewModel). This research focuses on creating three applications with similar features and interfaces using different architectures. The study compares modifiability, testability, and performance aspects to determine the differences between each architecture. The results show that MVVM architecture is the best in modifiability, with the lowest number of index modifications. Testability requires no more than four scenarios for all architectures. However, MVI architecture outperforms in test coverage, and MVP architecture outperforms in performance. Overall, clean architecture is a valuable approach for improving the performance and usability of Android applications.