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Based on research conducted in SMK NU 01 Kendal, especially in fashion drawing learning in class X busana butik still uses conventional learning with blackboard media, the learning media is less effective because it requires a lot of energy and time for learning material that contains many pictures and tutorials that need to be delivered repeatedly. This study found a solution that is the design of learning media using the Computer Assisted Instruction (CAI) method, a system for delivering interactive multimedia-based learning with instructional material presented by means of a computer or computer system., so that it can help teachers deliver material effectively, and make students learn with high motivation because they are interested in multimedia systems that are able to present the appearance of text, images, videos, sounds and animations. The validation value by media experts shows that the value of 3.1 is classified as good / valid, and the validation results from material experts show a value of 3.5 which is categorized as very good / very valid, and an increase in the percentage value of effectiveness from 50.4% to 81.7%. and there is time efficiency, one of material such as collar images can save up to 18 minutes.

The purpose of this study is to investigate the effectiveness of applying reading skills at a glance in improving understanding of scientific work. The method used in this study was library study. The data in this study were obtained from reading reference books and journal articles.  The result of this study is that by applying fleeting reading skills in understanding scientific work, we can improve academic literacy, help students and researchers access information quickly, and form critical and effective individuals in managing information. A fleeting reading skill is not just a technical skill, but a learning strategy that supports the achievement of higher education goals. In extensive reading, these skills are key to achieving an overall picture and basic information of scientific texts. In addition, the application of fleeting reading skills in scientific work provides significant benefits, such as time efficiency and the ability to quickly identify key information, although deep reading remains essential for comprehensive understanding.

Convolutional neural network (CNN) is a deep learning (DL) model that has significantly contributed to medical systems because it is very useful in digital image processing. However, CNN has several limitations, such as being prone to overfitting, not being properly trained if there is data duplication, and can cause unwanted results if there is an imbalance in the amount of data in each class. Data augmentation techniques are used to overcome overfitting, eliminate data duplication, and random under sampling methods to balance the amount of data in each class, to overcome these problems. In addition, if the CNN model is not designed properly, the computation is less efficient. Research has proved that data augmentation can prevent or overcome overfitting, eliminating duplicate data can make the model more stable, and balancing the amount of data makes the model unbiased and easy to learn new data as evidenced through model evaluation and testing. The results also show that the custom convolutional neural network model is the best model compared to ResNet50 and VGG19 in terms of accuracy, precision, recall, F1-score, loss performance, and computation time efficiency

The improvement of the Cukir-Jombang road section requires heavy equipment. There is an increase in the road section at the STA. 0+000-STA. 0+936 and STA. 1+912 – STA. 2+790. In order to obtain cost and time efficiency, it is necessary to analyze the productivity of heavy equipment. This study uses the field productivity method with the aim of knowing the maximum productivity of heavy equipment and asphalt costs starting from STA 0+000 to completion. The results of this study obtained the rental time of heavy equipment for 8 hours with the number of each heavy equipment Asphalt Finisher 2 units, Dump Trucks 20 units, Tandem Roller 3 units, Pneumatic Tire Roller 2 units, Asphalt Sprayer 1 unit. Meanwhile, the cost of renting heavy equipment is IDR 4,180,000.00 for Asphalt Finisher, IDR 34,200,000 for Dump Trucks, IDR 5,700,000.00 for Tandem Rollers, IDR 3,800,000 for Pneumatic Tire Rollers, and IDR 532,000 for Asphalt Sprayers.  

Effective and efficient financial management is essential for the success of UMKM. However, UMKM are often hampered in optimizing their performance and competitiveness due to lack of knowledge and skills in financial management. Therefore, this community service aims to train UMKM in financial management to improve their financial literacy and their ability to utilize skills in business management. This activity uses a participatory approach by involving UMKM in the Bugangan Village area and the method includes theoretical explanations and direct practical assistance. The training materials include basic concepts of financial management and simple financial report analysis. The results showed that participants had a better understanding and skills to manage business finances more effectively. In addition, participants also reported increased time efficiency and accuracy of financial records after the training was implemented. Thus, this program is expected to help UMKM become more adaptive to the demands of the digital era and contribute to sustainable local economic growth.