Reviewerly/exHarmony huggingface dataset:
MODULE AND AUDIOVISUAL PACKAGE INTERVENTIONS IN INCREASING STUDENTS' KNOWLEDGE AND HARD SKILL IN MATERNITY NURSING COURSES

COVID-19 has changed the order of education in Indonesia. There is a big change in learning from formal education in the classroom to learning from home, with an online system. The online education system is certainly not easy. In addition to the personal discipline to study independently, there are facilities and resources that must be provided. Laboratory activities that hone students' abilities in developing skills for patients were forced to turn into audiovisual learning. In maternity nursing learning there are practices carried out in laboratories that develop students' hard skills and knowledge The design of this research is pretest and posttest without control group. The implementation of the audiovisual learning and module intervention was given in 4 sessions consisting of pregnancy, childbirth, newborns and the postpartum period. The questionnaire used in this study was a knowledge questionnaire and hard skill assessment on students using zoom. Number of respondents are 63 respondents. The results of the study show that there is an effect of audiovisual learning on students’ knowledge p=0,001 and soft skill p=0,001. This study shows an increase in the score of 80% of the number of respondents. This research recommends giving audiovisual learning to improve knowledge laboratory skills in maternity nursing.
The Interactive Multimedia Based on Theo-Centric Approach as Learning Media during the Covid-19 Pandemic

In online learning situation learning media will have an impact on increasing student motivation in participating in the learning process. This study aims to develop interactive multimedia based on the Theo-centric approach as a proper and practical learning media for elementary school students during the Covid-19 pandemic. This research is research and development. The subjects of this research are media experts, linguists, teachers, and students. Determination of research subjects is done by purposive sampling technique. The research data was obtained by using a questionnaire technique. The analysis technique used is descriptive statistics with the help of a score trend table. The results showed that the product developed was feasible and practical to be used as a learning medium for elementary school students during the Covid-19 pandemic. This can be seen from the results of the feasibility test from media experts and linguists who assessed that the product developed was in the very feasible category. On the other hand, the results of the practicality assessment by teachers and students indicate that the product developed is in the very practical category. Therefore, interactive multimedia based on the Theo-centric approach can be used as a learning media for elementary school students during the Covid-19 pandemic.
The Use of Google Sites-based Electronic Modules in Science Learning Against Digital Literacy of Junior High School Students

Learning in the 21st century requires innovation by utilizing technology as a learning resource for students. Integrating technology into learning has an important role to improve students' skills. One of the integrations of technology is the use of Google Sites-based Electronic Modules which are used as learning resources in science learning. This study aimed to analyze the digital literacy of junior high school students using Google Sites-based electronic modules. The population of this study included class VII students using the cluster random sampling technique. This research includes quasi-experimental research. The design used is the post-test-only control group design using angles. This study uses an instrument in the form of a questionnaire. Analyzing data is using the independent sample t-test. Based on the results of the questionnaire analysis, it is known that the digital literacy of students in the experimental class is superior with an average proportion of 48%. The results of the analysis of the independent sample t-test were Sig (2-tailed) 0.000, which means that there are differences in the digital literacy of junior high school students using electronic modules based on Google sites in science learning. It can be concluded that electronic modules based on Google sites can improve digital literacy. Electronic module based google sites can also bring up students' digital literacy skills.
Prospective Teachers Knowledge About the Air Pollutant Standard Index and Fire Disaster Mitigation

The knowledge of prospective elementary school teachers about knowledge of the Air Pollutant Standard Index (ISPU) and forest and land fire disaster mitigation is essential. This study aimed to analyze knowledge of the air pollutant standard index and forest and land fire disaster mitigation of prospective elementary school teachers. The approach in this research is to use quantitative survey research. The population is elementary school teacher candidates, with a total of 3000 and 336 research samples. The variables of this study are the knowledge of elementary school teacher candidates. Research instrument used is a test question instrument made with Google Forms and distributed through social media platforms in the form of What Apps. Analysis of research data using descriptive quantitative. The results showed that the knowledge classification of prospective elementary school teachers regarding the standard index of air pollution and forest fire disaster mitigation based on the geographical location of the origin of the university or college consisted of two categories, namely the excellent category and the moderate category. The conclusions from the study show that knowledge of the standard index of air pollution and disaster mitigation of forest and land fires for elementary school teacher candidates in Riau Province, Indonesia is in the medium category.
Strengthening Language and Literature Competencies of High School Student

The scientific approach and contextual teaching which is widely used in science learning has not been widely used in language learning, especially in the 2016 Indonesian Language and Literature Curriculum. This study aims to analyze the relationship between the application of a scientific approach and contextual teaching in the application of the 2016 Indonesian language and literature curriculum with the achievement of learning Indonesian language and literature for class X SMA students. This study uses a type and quantitative research approach with surveys with correlational techniques. The research subjects were students of senior high school. Samples were taken randomly in class X. Data collection method uses in this study are observation, documentation, and interview. The research instruments were interviews and objective tests and essays which had been tried out before being used. Data analysis techniques used are product moment correlation, partial correlation, and double regression. From the results of the analysis, it can be concluded that there is a significant relationship between the use of SA and CTL together with achievement in learning Indonesian Language and Literature (score above 78). The implication of this research is the importance of using SA and CTL in private schools that have not used these two approaches in learning.
Enhancing Robotic Arm Performance: Integrating Arduino Control and Aerodynamic Principles for 6 Degrees of Freedom

This review paper explores the integration of Arduino control and aerodynamic principles to enhance the performance of 6 Degrees of Freedom (DOF) robotic arms. Robotic arms have become indispensable in numerous industries, requiring increased precision, efficiency, and adaptability. By leveraging the capabilities of Arduino microcontrollers and incorporating aerodynamic principles, researchers and engineers can optimize the design, control algorithms, and energy efficiency of robotic arms. This paper provides an overview of Arduino control and its advantages for robotic arm control, as well as an exploration of aerodynamic principles applicable to robotic arm systems. It investigates the potential benefits of integrating Arduino control and aerodynamics, such as improved stability, reduced energy consumption, and enhanced speed. Challenges and limitations of the proposed approach are also discussed. Through a comprehensive review of existing literature, case studies, and experimental results, this paper highlights the effectiveness of integrating Arduino control and aerodynamic principles to enhance the performance of 6 DOF robotic arms. The findings contribute to the advancement of robotic arm technology and offer insights for future research and development in this field.
3D Interactive Virtual Reality Media to Improve Learning Outcomes in Thematic Subjects

At the elementary level of school, learning activities are encouraged to prioritise student participation and interaction in the learning process. This is done in order to maximise the overall educational experience. Utilising different kinds of educational media that are based on technology is one of them. It is with media that is based on virtual reality (VR), which gives users the ability to interact with goods in a virtual setting that not only appears real but also has the sensation of being real. This study aims to develop 3D Virtual Reality Interactive Media to improve student learning outcomes in elementary schools. A quasi-experimental approach was utilised for the methodology of this research, and pre- and post-test control groups were included. The learning achievement test is the tool that is being utilised in this research. Students in fourth grade from elementary schools participated in the research project. The following are some of the findings that emerged from this research: (1) the development of a model for 3D virtual interactive multimedia; (2) the implementation of learning through 3D virtual reality interactive media utilising a systems perspective; (3) Varieties of learning assessment (assessment) that make use of authentic assessment; (4) Data demonstrating a good response from students towards the implementation of 3D virtual reality interactive media. It has been demonstrated that the implementation of interactive media in the form of 3D virtual reality has been successful in enhancing the learning outcomes of students in Thematic Subjects, particularly Science in Elementary Schools.
Efficiency Engine: Designing and Implementing an Academic Management System

Academic management system, which is a comprehensive software solution designed to streamline and automate various administrative and academic processes within educational institutions. The system serves as a centralized platform that integrates multiple functionalities, including student information management, course registration, attendance tracking, academic record keeping, etc.
Instagram-based Learning Media and Chemistry Practicum Video Projects to Improve Students’ Creative Thinking Skills

Chemistry is considered a complex subject because of its abstract nature. In addition, its relation to everyday life requires a greater understanding of concepts such as reaction-rate material. One way to overcome this problem is to use an appropriate learning model involving students actively developing their ideas, such as the STEM-integrated project-based learning model. Instagram learning media has the most potential to be used as learning media in project-based learning. This research aims to improve students' creative thinking skills through chemistry lab video projects on Instagram. The method used in this study was quasi-experimental with a pretest-posttest nonequivalent control group design. The sample was from science class in elevent garade students. Based on the result of the hypothesis testing, it shows that there is a significant difference in the use of practicum video projects on Instagram in the STEM integrated project-based learning model (STEM-PjBL) on students' creative thinking skills. This practicum video on Instagram can be an opportunity to improve students' creative thinking skills.
Learning from Previous Epidemics; Overcoming COVID-19 Using E-Health

Considering the worldwide spread of the COVID-19 pandemic, it is critical to use electronic health (e-health) to prevent, diagnose, and treat this disease. According to reports on the use of e-health technology in past and present crises, this technology can have the potential to improve the quality and the quantity of provided services and control and manage diseases in epidemic conditions. The important issue is how to implement this technology fairly and facilitate the use of this technology by health care providers and the general public. Moreover, the concerns about the physician-patient relationship, patient privacy and health costs should be addressed. Therefore, it is necessary for health policymakers and planners to develop laws and guidelines to address legal and ethical barriers to the use of this technology, focusing on vulnerable populations, to manage the crisis and also determine the role of insurers in this area.
Product Classification Based on Categories and Customer Interests on the Shopee Marketplace Using the Naïve Bayes Method

Marketplace is an electronic product marketing platform that brings together many sellers and buyers to transact with each other. The large variety of products sold on Shopee is one of the reasons this application is in great demand by all walks of life. However, the weakness of the large variety of products sold in a marketplace causes buyers who have no potential to buy these products. To overcome this problem, it is necessary to do a classification to determine which products are most in demand by customers. Product categories consist of: Clothing, Beauty Products, Daily Goods, Electronics, and Accessories. The classification method used is Naïve Bayes and the software used is WEKA. The next data collection is done by distributing questionnaires to the existing customers on social media namely, Whatsapp and Instagram, the distribution of the questionnaire is conducted through Google form. There are 90 questionnaires that will be distributed in this study. Some of the indicators asked in the questionnaire namely, do you like shopping online? And what marketplaces are commonly used. These results will be the training data. Interest categories are divided into 4 categories, namely: Very interested, Interested, Not interested, Very not interested. The results obtained in this study are clothing products (72 respondents) are products that are in great demand, daily goods products (7 respondents) are products of interest, beauty and electronic products (5 respondents) are products that are not in demand, and accessories (1 respondents ) is a product that is not very attractive to customers on the Shopee marketplace
Detection Of Malaria Parasites In Human Blood Cells Using Convolutional Neural Network

Malaria is a blood disease caused by the Plasmodium parasite which is transmitted by the bite of the female Anopheles mosquito. The diagnosis of malaria is carried out by a microscopist through examination of human blood cells. Their level of accuracy depends on the quality of the tool, expertise in classifying and counting infected and uninfected parasite cells. The disadvantages of examining this way include the difficulty in making a diagnosis on a large scale and the poor quality of the results. The dataset used in model evaluation is a dataset developed by LHNVBC which contains 27,558 cell image data. The malaria dataset will be processed through data science processing using a Convolutional Neural Network with the ResNet architecture. The model will conduct training on the dataset and then the model will be able to recognize malaria parasites in human blood cells. The model will be trained by optimizing multinomial logistic regression using Stochastic Gradient Descent (SGD) and Nesterov momentum values. The results of training data validation accuracy from model training with 50 epochs were obtained at 96.23% and 97% after being tested on data testing.
Expert System to Detect the Level of Parental Stress in Online Learning by Using Forward Chaining Method

This research was aimed to make an expert system application to detect and identify the parental stress level in online learning by using the Forward Chaining method. The system was designed and implemented based on Desktop by using basic programming language. The data were collected through questionnaire consisted of 30 questions. The final score would determine the stress level of the respondents. The respondents were chosen by using random sampling technique. XAMPP data with the results obtained from 150 respondents who have educational backgrounds; elementary school (4 respondents), junior high school (6 respondents), high school (120 respondents), associate degree (11 respondents), bachelor degree (9 respondents).There were 123 respondents do not work, and 27 respondents were working parents. The findings showed that from 150 respondents there were 22% or 33 respondents were at normal level, 6% or 9 respondents were at mild level of stress, 8% or 12 respondents were at moderate level of stress, and 64% or 96 respondents were at severe level of stress. It was concluded that this application can be used to detect the parental stress level in online learning. It was also expected through the use of this application can help parents to detect their stress level earlier and find solution of it in order to avoid the negative impact of their problems.
Classification of analogies as a methodological framework for use in instruction in physics

In the article, the author provides a detailed description of the methodology used to collect and analyze research data, and the process of developing a classification system. The main part of this study is based on the results of a survey of physics teachers. The author also showed that the data collected during the survey were qualitatively analyzed using thematic analysis, and a comprehensive system of classification of analogies in physical education was developed. It is described that analogies in teaching physics can be divided into two main groups. These are subjective and intersubject analogies. That is, the development of a comprehensive system of classification of analogies that can be used in physics education is being considered in detail. The use of analogies is studied as a means to improve students' understanding of abstract scientific concepts, in particular, in the context of electromagnetism. The research uses a methodology for analyzing scientific literature based on various sources to identify and evaluate different approaches to analog thinking in physics education. The results of the study demonstrate that the analogy classification system can greatly simplify the explanation of complex scientific concepts, providing teachers with a valuable tool for improving pedagogical practices. In addition, the proposed classification system offers a framework for developing new analogies and improving existing ones, contributing to the development of more effective teaching methods. In general, the study emphasizes the importance of analogical thinking in physics education and offers practical findings that can be applied in the development of educational materials in various fields based on the use of analogies.
Grouping Level of Poverty Based on District/City in Indonesia Using K-Harmonic Means

Indonesia still has a relatively high poverty rate, although nationally it has declined in recent years. There are areas that are still experiencing increasing poverty rates. So that the currently planned poverty alleviation plans are no longer uniform, but need to pay attention to the conditions of each dimension that cause poverty in an area, so it is necessary to group districts/cities in Indonesia on poverty. Grouping was performed using K-Harmonic Means analysis. K-Harmonic Means is a non-hierarchical clustering that takes the average of the harmonic distance between each data point and the cluster’s center. The data used in this research is secondary data sourced from BPS publications on poverty and inequality in 2022. The analysis technique is carried out by standardizing the data, conducting cluster analysis, and validating clusters. Based on the results of the K-Harmonic Means analysis, the optimal number of clusters is two clusters that first cluster has 54 districts/cities while second cluster has 460 districts/cities and the Dunn Index value for cluster validation is 0,03492. So that a better grouping level of poverty based on district/city in Indonesia is obtained by using the K-Harmonic Means method with p = 2,25.
The SMOTE Application of CART Methods for Coping Imbalanced Data in Classifying Status Work on Labor Force in the City of Padang

Employment issues are one of the main concerns in every country, especially in developing countries including Indonesia. Employment problems faced by Indonesia are the lack of job opportunities, excess labor, and the uneven distribution of labor. This is because the growth of the labor force is higher than the growth of existing job opportunities, so that many workers do not get jobs which will cause unemployment. The city of Padang is the city that has the highest unemployment rate in West Sumatra from 2013 to 2021. The development of a smart city and identification of factors that influence unemployment is one of the efforts to reduce unemployment. This study uses the CART method to determine the factors that affect the number of the workforce in the city of Padang. The advantage of the CART method is that it is easy to interpret the results of the analysis, but the accuracy of the classification tree is low due to data imbalance. Therefore, this study uses the SMOTE method to overcome these problems. The optimal classification tree is formed from 8 terminal nodes and involves 4 explanatory variables consisting of marital status (X3), education level (X4), gender (X2) and age(X1), 5 terminal nodes which classify the labor force into the working category and 3 terminal nodes which classify the labor force into the unemployed category.
Judicial problems and solutions for observation crimes committed through IT systems

With the development of technology and the introduction of the Internet and information systems in every aspect of our lives, new regulations have been made in our laws, with the anticipation that these systems will gain a dangerous dimension with the use of these systems by individuals for committing crimes. Information crimes are regulated in the Turkish Penal Code No.5237. However, some crimes regulated the Turkish criminal law can be committed by information systems, although they are not regulated separately as cybercrimes. This study aims to deal with the issue of obscenity crime, which is one of these types of crime and is of great importance since its definition may change over time, and it is commonly committed through information systems. This study will focus on the most common situations we encounter in practice in terms of obscenity crime. The researcher makes explanations with the Supreme Court Decisions by addressing the problems that arise in terms of Criminal Procedure Law. Keywords: Cybercrime, eroticism, informatics, information technology, obscenity, pornography;