This research aims (1) to determine the internal and external factors that cause learning difficulties for students majoring in TKRO at SMK N 4 Lhokseumawe, (2) to find out learning strategies that can help class XI students majoring in TKRO at SMK N 4 Lhokseumawe. This research is descriptive qualitative research. Data was obtained through observation, interviews, documentation. The research subjects were class XI students majoring in light vehicle engineering at SMK N 4 Lhokseumawe. Research data was analyzed using data reduction analysis methods, data presentation, and drawing conclusions. Based on the results of interviews with class Factors that cause learning difficulties include the classroom atmosphere, the way the teacher teaches, and students' internal factors such as physiology and psychology. So this research was conducted with the aim of analyzing and finding strategies to overcome students' learning difficulties. The results of the study with an average acquisition of student learning difficulties of 2.648 are included in the High category. With the qualification of learning difficulties for automotive electrical material is "High" at SMK Negeri 4 Lhokseumawe. In order to overcome this problem, teachers need to change their teaching style and encourage interaction with students, while students need to be more focused and conducive during learning. It is hoped that collaboration between teachers and students can help reduce the level of learning difficulty in automotive electrical subjects for class XI students majoring in light vehicle engineering at SMK N 4 Lhokseumawe.

This research focuses on exchange rate fluctuations in Indonesia during the period of 2005 to 2023, influenced by various economic factors, primarily monetary policy and international trade dynamics. Exchange rate instability is a major concern because it can impact the national economy, including export competitiveness and macroeconomic stability. Consequently, the purpose of this research is to dissect the relationship between interest rates, export values, and wide money as it pertains to currency swings.  This study takes a quantitative approach by analyzing the relationship between the dependent and independent variables via multiple linear regression.  World Bank, International Monetary Fund, and Statistics Indonesia yearly time series data from 2005 to 2023 is used.  The findings show that broad money, interest rates, and export values significantly impact the swings in the Indonesian currency.  According to the findings of the multiple linear regression analysis, Interest rates and broad money have a positive and statistically significant effect on changes in exchange rates, but export values have a negative and statistically significant effect. The implications of this research emphasize the importance of appropriate interest rate policies and balanced broad money management to maintain exchange rate stability. Future researchers are advised to include global variables and more complex analysis methods.

This article discusses the maintenance of Family Medicinal Plants (TOGA) in Mata Wawatu Village as an effort to improve public health. The aim of this program is to provide information to the public regarding the benefits and cultivation techniques of medicinal plants. The methods employed include qualitative research with a descriptive approach, encompassing observations, interviews, and documentation collection. The findings of this study indicate that this initiative has successfully enhanced the community's understanding of TOGA and encouraged them to utilize medicinal plants in their daily lives. This program is expected to improve the health and well-being of the community and reduce dependence on chemical medications

Purpose: Mango production can be severely impacted by diseases affecting mango plants. By leveraging artificial intelligence, the agricultural sector can automate the analysis of mango leaves to monitor plant health. The goal of this research is to improve the early detection of diseases in mango leaves to allow early treatment to minimize damage to the crops.
Methods: This study employs an approach of combining two pre-trained CNN architectures, namely MobileNetV2 and DenseNet201 through concatenation method. To enhance the model’s generalization ability, various image augmentation techniques were applied during the training phase.
Result: The model developed in this study achieved great performance in classifying mango leaf diseases with a testing accuracy of 99.25%. This result indicates the effectiveness of the concatenation method by outperforming the accuracy of either MobileNetV2 or DenseNet201 when implemented separately.
Novelty: This research introduces a novel strategy by concatenating two pre-trained CNN architectures for mango leaf disease classification, a method not previously explored in this context. The model developed from this study has the potential to serve as a tool for the early detection and treatment of mango leaf diseases.

This study aims to see at the Effect of Religiosity and Self-Compassion on Subjective Well-Being in Sophomore. This research uses a quantitative approach. The measuring instruments used in this study are religiosity scale, self-compassion scale, and subjective well-being scale. This study involved 105 sophomores. The sampling technique in this study used purposive sampling using the criteria of sophomores. The data analysis technique used in this study was multiple regression test. The results of this study indicate that there is a significant influence between religiosity and self-compassion on subjective well-being by 22,4%. This research shows that religiosity has a stronger influence than self-compassion, this is because self-compassion focuses on perceived emotional problems, while improving subjective well-being may require solving the problem first.

The research that has been carried out is entitled "Development of Character-Based Reading Books to Improve Reading Ability". The development of reading books as a medium to support learning has a wide relationship between writing, pictures, and others. This character-based reading book contains a brief text narrative that is connected to colored pictures and vocabulary that can be conveyed through illustrations and text. This research is a type of RND research using the ADDIE model. This research model is the ADDIE development model, namely (1) Analyze (2) Design (3) Develop (4) Implement (5) Evaluate. The results of the study show that (1) character-based reading books to improve the reading ability developed, data were obtained from media expert validators with a percentage of 80% in the valid category, material expert validators with a percentage of 80% in the valid category and linguist validators with a percentage of 80% in the valid category, (2) The results of the student response questionnaire obtained data on the percentage of responses from students of the limited test in grade III of SD Muhammadiyah 18 Medan,  with a percentage of 88% in the very practical category and a large group test of 91.4. Thus, the illustrated storybook developed is practical (3) The effectiveness of the reading book is seen from the test results and data obtained from the results of the field test in grade III of SD Muhammadiyah 18 Medan, with an average percentage of N Gain students of 84% in the Effective.

This study aims to optimize the implementation of the K-Nearest Neighbors (K-NN) algorithm for medical image classification by focusing on selecting the optimal KKK parameter and applying dimensionality reduction techniques to improve accuracy and efficiency. The data used was sourced from public medical image repositories such as The Cancer Imaging Archive (TCIA) and Medical Image Analysis datasets, covering various diseases, including brain tumors, lung cancer, and kidney lesions. The research process involves data collection, data preprocessing, dimensionality reduction using Principal Component Analysis (PCA), applying the K-NN algorithm with Euclidean, Minkowski, and Cosine distance metrics, and performance evaluation using accuracy, precision, recall, and F1-score. Experimental results demonstrate that K=5with the Euclidean distance metric provides the best performance, achieving an accuracy of 90%. Additionally, PCA effectively reduces computational time by 30% without significantly compromising accuracy. This study proves that K-NN is an effective method for medical image classification. However, further research is needed to integrate K-NN with deep learning models to enhance performance and feature extraction capabilities.

This research examines how Islamic education plays a role in raising awareness of sharia law among Muslim communities. Using a qualitative approach, this study explores the methods of teaching Islamic law in Islamic boarding schools, madrasas, and Islamic universities. The results show that Islamic education based on the understanding of the Qur'an and Hadith can increase awareness of sharia law and compliance with Islamic rules in daily life.

This research aims to determine the influence of extracurricular horse riding on the formation of brave, confident and responsible characters in students at the ZIIS modern Islamic boarding school and examine the psychological relationship that exists between students (horse riders) and horses. The research method uses mixed methods research by collecting, analyzing, and combining quantitative and qualitative research methods in a series of research. The samples taken for research were 25 male students and 25 female students. Each student was given a questionnaire containing questions regarding character formation after participating in equestrian extracurriculars. The results of observation data, interviews and questionnaires confirmed that an index in the range of 80% - 100%. The conclusion is the strong agreement among  respondents in the questionnaire that equestrian extracurriculars can form brave, confident, responsible characters and can form a psychological relationship between horse riders and horses.