Islamization basically occurs in various regions, one of which is the target of Islamization is a strategic area inhabited by the majority of Islam, namely Southeast Asia.  The news can be seen from the process of entering Islam in various ways, for example, one of which is by peaceful means, as stated in proselytizing, music art and various ways so that no violence or coercion is found. Islam entered Southeast Asia through trade channels which were sourced from various countries, one of which was from Arabia and India. The methodology in this article uses a descriptive qualitative approach in using historical methods. The researchers' findings in this research process include; (1) The process of arrival through trade routes that cross southeast Asia so that inter-people-to-people conflicts result in Islamization in this region; (2) The results of the study also reveal the fact that Islamization also occurs in the sectors of marriage, friendship and strong proselytizing. This article reveals that the fact of Islamization is very strong in Southeast Asian society.

Penelitian ini bertujuan untuk mengetahui strategi penghimpunan dana zakat di lima lembaga pengelola zakat di Indonesia. Metode analisis data yang digunakan adalah metode analisis jaring laba-laba (Spyder web analisyst). Berdasarkan hasil analisis strategi penghimpunan dana zakat yang paling optimal dilakukan oleh Dompet Dhuafa yaitu dengan membuka kantor cabang di luar negeri dan menggunakan sistem ATL (Above The Line) dan BTL (Below The Line).Kata kunci: Strategi, Penghimpunan, Dana Zakat.

According to the Indonesian government, Indonesia has been afflicted by Covid-19 since March 2, 2020. Numerous countries, including Indonesia, have made efforts, but with the spread of perceptions, rumors, and a flood of information into the society regarding vaccines, there are both advantages and disadvantages to vaccines. government-led immunization campaigns. As a result, it is vital to examine public sentiment toward the government's immunization programs. The goal of this study is to ascertain the emotion toward the Covid-19 vaccination in Indonesia based on the classification results. The Support Vector Machine classification technique was employed in this investigation (SVM). The SVM classification method was chosen because it possesses the ability to generalize when it comes to identifying a pattern, excluding the data used in the method's learning phase. Classification with an SVM linear kernel and TF-IDF weighting, as well as data sharing via K-fold cross validation with a value of k=10. Positive and negative classifications are made. Following preprocessing and classification, we determined the f1 values, accuracy, precision, and recall to use as reference values when evaluating the classification. SVM performed well in classifying the data in this investigation, with f1 = 88.7%, accuracy = 84.4%, precision = 86.2%, and recall = 97%. This value is acceptable, and hence SVM is suitable for identifying sentiment data about the Covid-19 vaccine in Indonesia. Additional study can be conducted with richer tweet data, more thorough preprocessing, and comparison to other classification algorithms to obtain a higher categorization evaluation score.

This study aims: to determine the effect of the application of the Gallery of Learning the learning achievement of students of Universitas Syiah Kuala. This study uses a quantitative approach and the type of experimental research. The population in this study are students of history education, amounting to 46 people. This research data collection techniques using tests and documentation. As for the stage of data analysis techniques in this study were; (1) calculate the average; (2) calculate the variance and standard deviation; (3) test for normality data; (4) test of homogeneity of variance; and t-test. Based on the data analysis stage it is obtained:Final test homogeneity of variance test experiment and control class was 1.53 and 0.49 t-test results. Results of research found is the implementation strategy of lear(gallery of learning) effect on student learning achievement history educationhistory of Universitas Syiah Kuala. Data Distribution final test scores of students in the experimental and control group with normal distribution based on a significant level ≤ X2countX2 tablenamely 7.81 and 4.51 ≤ 4.93 ≤ 7.81, to test the homogeneity of F ≤ 1.53 ≤ 2.03 Ftabel = then the data variance experimental class and control class homogeneous. The results of t-test to analyze the effect of learning outcomes by using strategies learned gallery acquired the t-test is t = 0.49, while table = 1.68. Means that t ≥ 1.68 ≥ table = 0.49.

Muhammadiyah 3 Middle School in Purwokerto is the school that organizes the Low-Income Students Scholarship (BSM) program every first semester held in each new school year. During this time, processing student data and other equipment have been processed with manual calculations, as well as data storage using only Microsoft Excel. In selecting ranking, it still uses paper. The paper calculation on the selection of BSM recipients in the previous year is often lost and hard to find already needed, also there is no particular system for processing the data so that the subjective method is still needed by relying trusts on personal. The purpose of this study is the creation of a Decision Support System (DSS) application for Determining Low-Income Students Scholarship (BSM) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method at Muhammadiyah 3 Middle School in Purwokerto so that the selection process of Low-Income Students Scholarship (BSM) can be used. So that it is right on target to students who are entitled to BSM and can store data safely. The system development method used is a waterfall.