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This research is a development research (R&D) using the ADDIE development model which consists of: 1.) Analysis; 2.) Design; 3.) Development; 4.) Implementation; and 5.) Evaluation. Data collection was carried out by interviews, questionnaires and tests. The results of the interviews were analyzed descriptively qualitatively, while questionnaires and tests were analyzed quantitatively. Validation was carried out by questionnaire instrument experts, material experts, media experts and practitioner experts by class IV educators. The results of the analysis show that cartoon film learning media is included in the "very feasible" category to be used as a learning medium in class IV SDN 9 Sampurtoba. Based on Validation: 1.) Questionnaire Instrument Expert with an average percentage of 90%; 2.) Learning material experts get an average percentage of 95%; 3.) Learning media experts with an average percentage of 95%; 4.) Expert Practitioner with an average percentage of 93%. And continued with the distribution of Pre-Test and Post-Test questions to class IV with a lot of 15 students, obtained an average Pre-Test score of 42 increased with an average post-test result of 80. From the data acquisition it can be concluded that the developed cartoon film learning media is effective in improving learning outcomes.

This study aims to analyze the use of Bloom's Taxonomy in identifying the difficulty level of questions in mathematics in elementary schools. Bloom's taxonomy is a classification framework used to classify learning objectives into six different levels, namely knowledge, understanding, application, analysis, synthesis, and evaluation. The research subjects were 15 students in class V at SDN Karet 2, Tangerang Regency. The research method used was content analysis, in which questions in mathematics textbooks for elementary schools were analyzed based on Bloom's Taxonomy categories. The data collected included the difficulty level of the questions based on Bloom's taxonomy and the distribution of the difficulty levels of the questions in mathematics textbooks. The results showed that the level of difficulty of the questions in mathematics in elementary schools varied and could be classified based on Bloom's taxonomy. Most of the items focus on levels of knowledge and understanding, with a few items testing students' abilities to apply, analyze, synthesize, and evaluate mathematical concepts. This shows that there is a tendency to emphasize understanding concepts rather than applying concepts in learning mathematics in elementary schools.

This research is motivated by the low ability of students to identify complications in short stories. The lack of variety of learning models used by educators is one of the causes. The selection of various learning models will greatly influence the process of learning activities so that they become active, creative and innovative in order to improve the quality of students. One learning model that is effectively used is Discovery Learning. In addition, the low ability to collaborate is also due to the lack of assignments given in groups by educators to students. The purpose of this study was to examine the effectiveness of the Discovery Learning model used in increasing the ability to identify complications in short stories and to improve students' collaboration skills. In addition, this study aims to examine differences in the ability to identify complications in short stories and the ability to collaborate between the experimental class using the Discovery Learning model and the control class using the discussion method. The method used is a quasi-experimental method with nonequivalent control group design. The results obtained based on the Wilcoxon test are the Asymp values. Sig. (2-tailed) <.001 or 0.001 <0.05, it can be concluded that there is a difference between students' learning outcomes in identifying complications in short stories between the experimental class using the Discovery Learning model and the control class using the discussion method. The results obtained based on the Mann Whitney-U test are the Asymp values. Sig. (2-tailed) of 0.010 <0.05, meaning that the Discovery Learning model is effectively used in learning. The value of collaborating in the experimental class has an average (mean) of 3.61 and the control class has an average (mean) of 3.47, meaning Discovery Learning model that it is very effective in improving collaboration skills.

The low ability of students in identifying life values ​​in short story texts is the background of this research. One of the causes of this is the lack of use of appropriate learning models by educators. In addition, as a result of the lack of utilization of appropriate learning models, namely the low level of students' critical thinking skills. The purpose of this study was to examine the effectiveness of the Discovery Learning model in learning to identify life values ​​in short story texts. This study also aims to examine the effectiveness of the Discovery Learning model in improving students' critical thinking skills. As well as examining differences in students' abilities in identifying life values ​​in short story texts and differences in students' critical thinking abilities in the experimental class using the Discovery Learning model and the control class using the discussion method. The method used in this research is a quasi-experimental method with nonequivalent control group design. The results of the research are based on the Wilcoxon test of the Asymp value. Sig. (2-tailed) of 0.000 < 0.05. That is, it can be concluded that there are differences in the learning outcomes of students identifying life values ​​in short story texts between the experimental class using the Discovery Learning model and the control class using the discussion method. As for the results of the Mann-Whitney test, the Asymp value. Sig. (2-tailed) of 0.000 < 0.05. That is, the Discovery Learning model is effectively used in learning to identify life values ​​in short story texts. Then the results of calculating the average value of students' critical thinking skills in the experimental class using the Discovery Learning model are 3.7 and in the control class using the discussion method namely 3.4. That is, it can be concluded that there are differences in students' critical thinking abilities. This shows that the Discovery Learning model is effective in improving students' critical thinking skills.

Problem solving abilities can be used in everyday life to find solutions and solve mathematical problems. The ability to solve mathematical problems in class XI students at SMAN 55 Jakarta for the 2022/2023 academic year is the goal of this research. The research subjects were 36 class XI students consisting of 18 female students and 18 male students at SMAN 55 Jakarta. The research instruments used were interviews, observation, and documentation. The data analysis technique used is qualitative data analysis, namely data reduction, data presentation, drawing conclusions. The research results obtained show the importance of the teacher's role in helping students to solve problems in learning mathematics.

Previous research or relevant research is very important in a research or scientific article. Previous research serves to strengthen the theory and phenomenon of the relationship or influence between returns on assets. This article reviews the factors that influence the current ratio, debt equity ratio, and debt asset ratio in an introductory financial management literature study. This study aims to analyze the factors that influence the disclosure of Return on Assets, namely: current ratio, debt equity ratio, debt-asset ratio, and working capital turnover. Samples were selected using purposive sampling method and samples that met the criteria. This study uses the classical assumption test, model feasibility test, multiple regression analysis and statistical t test. These results indicate that the variable current ratio and debt equity ratio have an effect on return on assets, while the debt-asset ratio and working capital turnover variable have no effect on return on assets.

Lot of problems arise in selecting scholarship recipients in a large number of submissions, the existence of several searches used, and the selection of files for scholarship applicants is still manual, so a system is needed that can speed up, help, and make it easier in the decision-making process to lighten work. student section. In supporting decisions this system will use the Naïve Bayes Classifier Method to determine what is acceptable and not acceptable. The NBC method can analyze and make improvements to old data, and the resulting data will provide simpler probability values that can later be used to make decisions. From the results of the research that has been carried out, it can be realized that the application of the data mining algorithm using the Naïve Bayes Classifier can be carried out to select scholarship recipients at Stikubank University Semarang. The result of the selection of Unisbank Semarang scholarship recipients is the accuracy value. 72% of the 135 data which is divided into 100 training data and 35 test data.

Mathematics is one of the subjects taught at all levels from basic education to higher education, which has a significant role in preparing students to have the ability to think logically, analytically, systematically, critically and creatively, as well as have the ability to work together. One of the activities in learning mathematics at school is through problem solving. Problem solving aims to see students' understanding of a material. Mathematical problem solving ability is a very important part of learning mathematics. However, in reality, the problem-solving ability of junior high school students' mathematics is still very low. From these problems, then one of the lessons that can improve the ability to solve mathematical problems is Problem Solving learning. One of the factors that influence differences in problem solving ability is learning style. Learning styles have a close relationship and influence on the learning process in order to achieve learning goals. With students knowing their learning style, learning Problem Solving can be done easily. The subjects of this study were students of class VIII A MTs Plus Sunan Drajat Kedungsantren Bojonegoro. The purpose of this study was to determine the effectiveness of Problem Solving learning on mathematics learning outcomes when viewed from students' learning styles. The type of research used is quantitative research with the One Group Pretest-Posttest Design. The results showed that testing the data on mathematics learning outcomes with the Paired Sample T-Test stated that the t_count value was -9.726. The t_count value is negative, because the pretest average value is lower than the posttest average value. In this case, the t_count value can be positive so that it becomes 9.726. Meanwhile, the value of t_table with α = 0.05 and degrees of freedom (dk=n-1) with 24 students is 1.714. Then it can be seen that t_count > t_table, then H0 is rejected and Ha is accepted, meaning that there is a significant difference. So it can be concluded that the application of the Problem Solving learning model is quite effectively carried out in the teaching and learning process for class VIII A students of MTs Plus Sunan Drajat Kedungsantren on the material of geometric shapes on the flat sides of cubes and blocks.  

Implementation of Distance Learning (PJJ) is effective in the teaching and learning process during the pandemic. This is supported by Unisbank students in mastering information technology. PJJ technology, also known as e-learning, is a bridge between lecturers and students in the process of meeting in class into a meeting process in cyberspace. E-learning becomes ineffective when the demand for e-learning usage is high, causing server overload or crashes. When the e-learning server is overloaded, all parts that are usually connected and interrelated, such as lecturers, students, administration and others, become disconnected. The importance of monitoring the e-learning server to keep the e-learning load under control, and the server that has a lot of load will be divided so that e-learning will run smoothly and not be overloaded. Monitoring the Elearning server with the Least Connection method is applied to the Unisbank e-learning server and makes e-learning not overloaded. The results of the load balancer workload test with 1000 connections, the resulting response time is 0.2 ms, the workload is 5000 connections, the response time is 0.2 ms and the workload is 10,000 connections, the resulting reply time is 0.2 ms.

PeduliLindungi is an application from the Government of Indonesia that was made in response to the COVID-19 pandemic. Since its initial release in 2020, this application has received many updates with the goal of improving its overall performance. One of the basics of updating applications is to process the reviews given by users at the Google Play Store using sentiment analysis. The methods used this time are Naive Bayes Classifier (NBC) and Support Vector Machine (SVM). The sample data used were 300 reviews with positive feedback and 300 reviews with negative feedback, for a total of 600 user reviews. The results of the NBC algorithm calculations produce an accuracy of 76%, a precision of 76%, a recall of 82%, and an f1-score of 79%. As for the SVM algorithm, it produces an accuracy rate of 80%, a precision of 83%, a recall of 80%, and an f1-score of 81%.

The use of learning media that is less than optimal is the basis of this research with the aim of developing learning media for Android applications and knowing the process of student answers. This type of research is development research with a model adapted from Borg and Gall with a  sample of class VIII-2 students of Santa Maria Private Middle School Medan, totaling 25 people. From the results of the study, it was obtained (1) the quality of the developed learning media met the valid, practical, and effective categories with an assessment by media experts of 3.82 and material experts of 3.87, practicality from the student response with a score of 3.61 and the teacher's response with a score of 4, and the effectiveness of classical student learning completeness reaches 92% of students and an n-gain score of 0.62 which means an increase in mathematical visual abilities is included in the moderate category. (2) The process of student answers shows that students have been able to identify problems, understand problems, generalize patterns and explain what is obtained, which means that students have fulfilled each indicator of mathematical visual ability, namely looking, seeing, imagining, showing and telling.

Coffee is an agricultural product that not only functions as a fresh drink, but also comes from an annual plant. Indonesia is known as one of the largest countries in coffee production in the world after Brazil, Vietnam and Colombia in 2017. There are two of the most commonly known varieties of coffee, namely arabica coffee (Coffea arabica) and robusta coffee (Coffea canephora). Due to the similarities between the two types of coffee beans, many people, especially those who are not experienced in the world of coffee, have difficulty telling the difference. Therefore, we need a tool that can help overcome this problem, such as smartengine which can classify arabica and robusta coffee beans. The development of this smartengine follows the Software Developer Life Cycle method using a spiral approach which involves several cycle stages. The first stage involves creating a deep learning model using the Deep Learning Life Cycle method which consists of several steps. In the second stage, deep learning models are provided as a service that can be used by other applications through application programming interfaces (APIs). For smartengine implementation, Google Colab with Keras API and TensorFlow backend is used. This smartengine has the ability to detect coffee beans and also allows the retrain process if needed. Testing is carried out using the blackbox method, where the feature functionality of the smartengine is tested. This research succeeded in developing a smartengine that can detect Arabica and Robusta coffee beans.

The government that is running at this time is also not spared from public comments on Twitter, especially regarding the increase in subsidized fuel. There are at least 4 impacts felt by the community when subsidized fuel prices increase, namely a decrease in people's purchasing power, an increase in basic prices, an increase in the unemployment rate and an increase in the poverty rate. This study aims to implement the Naïve Bayes Classifier and KNN algorithms in classifying a tweet of an increase in subsidized fuel so that it can be identified as belonging to a class with positive or negative sentiments. The data used in this research are 560 tweets. The data is divided into 2, namely 500 training data from tweet data and 60 test data from tweet data stored in xlsx format. The results of the accuracy with the Naïve Bayes Classifier algorithm is 85% while the KN algorithm is 86.8% so it can be concluded that the KNN method is better than the Naïve Bayes Classifier method in classifying tweets of increases in subsidized fuel. Keywords: Subsidized BBM, Naive Bayes, KNN

This study aims to determine whether there is an effect of the scientific approach on the mathematical reasoning abilities of class X IPA students at SMA Negeri 11 Medan. The population in this study were all students in class X SMA Negeri 11 Medan which consisted of 10 classes, namely 360 students. Of the 10 classes randomly selected, class X IPA 6 was an experimental class that was taught using a scientific approach, and class X IPA 7 was selected as a control class that was taught using conventional learning. This type of research is quantitative research. The data collection instrument was in the form of a posttest in the form of a description, which consisted of 5 validated questions. Data analysis in this study used the SPSS 20 application. Before testing the hypothesis, the normality test was first tested using the Kolmogorov-Smirnov test and the homogeneity test using the homogeneity of variance test and the data linearity test. From the tests carried out, it was found that the data in the study of the two samples came from populations with normal, homogeneous, and linear distribution, thus the authors could provide treatment to both samples. The results of the study after being treated for two meetings, namely in the experimental class taught using the scientific approach obtained an average value of 90.17 and the control class taught using conventional learning obtained an average value of 74.17. To test the hypothesis, a simple linear regression test was used from the results of the calculations, then obtained an F count of 73.579 a significance level of 0.000

The purpose of this study was to develop Problem Based Learning (PBL) based E-Comic learning media on Problem Solving Ability that is valid, practical, and effective on student learning outcomes in statistics material in class XII at SMA Negeri 1 Sungai Laur. The method used is the ADDIE method. The subjects of this study were 29 class XII students of SMA Negeri 1 Sungai Laur, 3 material and media experts. The instruments used in this study were in the form of material expert validation sheets and media expert validation sheets, teacher response questionnaires, student response questionnaires and post-test questions based on the results of the research that had been carried out obtained the results of validation of E-Comic learning media based on Problem Based Learning (PBL). ) Regarding Problem Solving Ability has a validity level of 91.22% with very valid criteria, the practicality level of learning media is 89.60% with very practical criteria and the level of effectiveness of learning media is 93.10% with very effective criteria.

Indonesia is still facing major challenges in the field of nutrition. Lack of nutritional intake is a type of nutritional problem that can cause disturbances in the growth and development of children, so efforts are needed to be made to overcome them. Specific nutrition interventions have been shown to reduce nutritional problems through supplementation and fortification interventions, supporting exclusive breastfeeding, counseling about children's diets, and providing additional food. This study aims to identify specific interventions that have been carried out in addressing under-five nutritional problems using qualitative methods using non-probability sampling techniques. Data was collected through in-depth interviews. The results showed specific nutrition interventions, namely toddler interventions (monitoring toddlers at posyandu, immunization, vitamin A, and PMT). Maternal intervention (pregnancy women's classes, PMT for pregnant women, nutrition and health seminars) and youth interventions (blood-boosting tablets/TTD program).      

This research was conducted with the aim of producing digital learning media using the Smart Apps Creator through a Realistic Mathematics Education approach that is valid, effective, and able to improve students' mathematical problem solving abilities in the matter of a system of two-variable linear equations. This type of research is Research and Development (R&D) with the ADDIE model. From the research results, it was obtained that the media and material validity values were 93.6% and 93% with very valid categories. The practicality of the media through the results of the teacher's response questionnaire obtained a practicality value of 97.3% in the very practical category and the results of the student response questionnaire for the small group test and large group test obtained values of 90.9% and 91.4% in the very practical category. Then the value of effectiveness is seen through the mastery of classical learning and the results of the student response questionnaire obtained percentages of 87.5% and 94.05% with very effective categories. Improving problem solving abilities in students, the results obtained are that the level of students' problem solving abilities is at a percentage of 92% with a very high category, while based on the N-Gain test the average value obtained by students is 0.6473 which means there is an increase in problem solving abilities in students medium category. So based on the results obtained it can be concluded that the learning media developed in this study are valid, practical, effective, and able to improve students' mathematical problem solving abilities.

This study entitled Teacher’s Methods in Teaching English Vocabularies at Sixth Grade Students of SD Muhammadiyah 2 Denpasar. It aims to find out the methods used by the English teacher at SD Muhammadiyah 2 Denpasar and the obstacles faced by the teacher. This study used the interview method for collecting data. The data was collected through interviewing the English teacher at the sixth grade students of SD Muhammadiyah 2 Denpasar. In addition, the interview was analyzed according to Richards and Rodgers (1986) in the book of Approaches and Methods of Language Teaching. The result of the analysis shows that the teacher uses the combination between audiolingual method and grammar translation method in teaching vocabularies. There were found several obstacles including the lack of students’ pronunciation and the lack of student’s memorization due to the limited time of study in class.

This research aims to analyze mathematics learning, especially in number material, as well as classify students' mathematical problem solving abilities. , interviews and documentation. 12 students have no value, 5 students have moderate values and 3 students have very high scores, the questions given are 5 all description questions. In making mathematical problem solving questions we use indicators namely: 1.) Understanding new mathematical knowledge through problem solving, 2.) Designing mathematical models, 3.) implementing and adapting appropriate strategies to solve problems, 4.) completing models, 5.) monitor and reflect on the process of solving mathematical problems. Of the 5 questions, they are then assessed with an assessment rubik according to the points specified in the question grid used. The results of the assessment were categorized into 3 categories, namely high, medium category, and low category in class IV SD 1 Burikan.

This study aims to determine the Indonesian teacher's strategy in dealing with the weak interest in learning Indonesian in grade 8 students of SMPN 1 Bontonompo Selatan. The research instruments in this study were observation, interviews and documentation. The data sources used in this study are primary and secondary data sources. The approach in this study is a qualitative descriptive approach. Data collection techniques are documentation guidelines, interview guidelines, and observation guidelines. Data analysis techniques are the identifying stage, the classifying stage, the analyzing stage, and the describing stage. The research results obtained from this study are: the strategies used by Indonesian teachers in dealing with weak interest in learning Indonesian language education in grade 8 SMPN 1 Bontonompo Selatan using three strategies namely conducting diagnostic tests, using various media and methods and establishing cooperation between teachers and parents of students. This strategy is the choice of Indonesian language teachers in dealing with students' weak interest in learning to increase student motivation and interest in learning.