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This research was motivated by learning activities forced by circumstances (during the Covid-19 pandemic) to change from face-to-face to virtual face-to-face. This raises a separate problem to immediately find an alternative solution. The purpose of this study was to obtain data about the description of the implementation of persuasive communication activities in order to improve student learning outcomes through E-Learning Madrasah’s in fiqh class XII IPS 3 Odd Semester at MAN 1 Grobogan. The research method used was Classroom Action Research (PTK). The research was carried out in two cycles, each cycle consisting of planning, action, observation, and reflection. The subject of this research was carried out in class XII IPS 3 MAN 1 Grobogan, totaling 35 students. The data collection used in this research is qualitative and quantitative data. The results of this study indicate that the use of persuasive communication through Madrasah E-Learning conducted to students of class XII IPS 3 MAN 1 Grobogan, can improve student learning outcomes. This can be shown by the average test results of student learning in the first cycle of 77 with the total class completeness of 71.4%. Then the average value of student learning outcomes increased to 88 with the total class completeness of 91.4% in cycle II

With the increasing development of technology the more variety of books circulating on the internet. As is the recommendation system on online book sites that provide books relevantly and as needed with one's preferences. One alternative is GoodReads, a social networking site that specializes in cataloging books and users can share reading book recommendations with each other by rating, reviewing, and commenting. As a large book recommendation site, it has a lot of data that can be processed by applying machine learning methods, but still not known as the most accurate model. By using the right model, we can provide more accurate recommendations. Therefore, this study will analyze the data obtained from the www.kaggle.com namely the goodreads-books dataset. This study proposed a data mining classification model to get the best model in recommending books on GoodReads. The algorithms used are Decision Tree, K-Nearest Neighbor, Naïve Bayes, Random Forest, and Support Vector Classifier, then for model evaluation using accuracy, precision, recall, f1-score, confusion matrix, AUC, and Mean Error Absolute. The test results of several classification algorithms found that Decision Tree has the highest accuracy among the methods presented by 99.95%, precision by 100%, recall by 96%, f1-score of 98% with MAE of 0.05 and AUC of 99.96%. This is proof that decision tree algorithms can be used as book recommendations based on book categories on GoodReads.

The transformation of objects in computer graphics is very closely related to the factor of scale and rotation. Both are often a challenge in the introduction of objects through numerical features in digital images. Feature processing techniques that can overcome these problems such as Distance - Angle signature that is invariant to the scale and rotation factor. From the results of experiments conducted on 5 types of geometric shape images which amounted to 15 data with scale and rotation factors obtained the results that the Angle Signature can be applied well on all data. Inequality in the signature plot images obtained is due to the lighting conditions and background objects that are not uniform, which occurs in the image of a circle for all three types.

Human daily life depends on air, so air quality needs to be protected especially against pollution. Decreasing air quality due to dust pollution can result in ARI. Makes it easier to measure ambient air and air temperature using internet-based technology. Designing internet-based dust and temperature measuring devices using the gp2y1010au0f type dust sensor, and DHS11 sensor as a temperature sensor, amplifier circuit, NodemCU microcontroller, and LCD (Liquid Crystal Display). The measurement application is carried out at the location of the PT. Djabus Tunas Utama Ngoro Mojokerto East Java at 10 sampling points around the mixing tube. The measurement results show the concentration carried by ambient air quality standards when the engine stops, so it is safe for employees. When the machine is mixing and the machine is not mixing (ordinary conditions) the concentration of particulates and the temperature exceeds the ambient air quality standard, for that all employees are required to use PPE.