Reviewerly/exHarmony huggingface dataset:
FORMATION OF SOFT SKILLS IN FUTURE TEACHERS AS A CONDITION FOR THE IMPLEMENTATION OF THE TEACHER'S PROFESSIONAL STANDARD

Soft skills play a leading role in student education, which is why their development in future teachers requires reflection in professional standards. The purpose of the article is to substantiate the need for the formation of soft skills in future teachers in the conditions of the implementation of the teacher's professional standard. To test the research hypothesis, various methods were used: conversation, observation, survey, questionnaire, methods of mathematical statistics for quantitative and qualitative analysis of experimental data, determination of the reliability of the results. The authors of the article considered options for the organization of educational activities of future teachers regarding the formation of soft skills as a condition for the implementation of the teacher's professional standard. The professional standard of the teacher was considered and a number of competencies were singled out, the formation of which depends on the development of soft skills. The results of the survey of teachers, education seekers and stakeholders regarding the problem of soft skills formation were analyzed and difficulties in their formation were revealed. A map of the development of soft skills in pedagogy classes is proposed, in particular, the potential of using the "inverted classroom" model as one of the advanced technologies for building the educational process is revealed.
Komparasi Algoritma Suport Vector Machine Dan Naive Bayes Dalam Analisis Sentimen Kebijakan PPKM

Corona virus is an infectious disease that attacks human respiration. This virus originated in China, more precisely in Wuhan City, Hubei Province. early March 2020 this virus entered Indonesia and has spread throughout the world. In Indonesia there are 6,721,095 people exposed to Covid-19 and 160,648 people have died. This makes the government quickly make policies, in a policy there will be pros and cons in the community, so that sentiment analysis is needed to find out the response of the community regarding policies issued by the government, in this case the policy on the Implementation of PPKM.Keywords: Suport Vector Machine algorithm and Naïve Bayes algorithm; Rapid Miner;
WEB APPLICATION DEVELOPMENT FOR OBE COMMITTEE MANAGEMENT IN POLYTECHNIC KUCHING SARAWAK USING DJANGO FRAMEWORK

OBE Committee Management (Outcome Based Learning) must be organized and easily accessible by certain parties such as management and committee members themselves. Among the information that can be obtained is the committee organization chart, committee information, activities carried out as well as data management for the committee. The difficulty of managing activity data is the main reason this website was created. The process of developing this particular website uses the Django web development framework. Website display requires basic knowledge of HTML (Hypertext Markup Language) and CSS (Cascading Style Sheet). The result of the development of the OBE Committee website gives the management the opportunity to access the database of activities carried out by the department's OBE coordinator.
Students’ Multiple Language Use in an EFL Class: A Case at an English Education Department

This study investigates the languages, the status of languages, and the languages used for communication by EFL students. The participants of this study were fifty students in the fourth semester in the English Education Department of Universitas Muria Kudus (EED UMK). The data were collected using a questionnaire and analyzed qualitatively. The findings show that the students use nine languages, i.e., Javanese, Sundanese, Indonesian, English, Arabic, Chinese, French, Japanese, and Korean. Javanese, Sundanese, and Indonesian belong to their mother tongue, while Indonesian is their national language. Meanwhile, English, Arabic, Chinese, French, Japanese, and Korean are their foreign languages. English has been learned by the research participants since elementary school. At present, English is their major in the department. The students realize that their English intensity must be increased since English has become their major as EFL students. The students’ bilingualism belongs to an elite bilingual since the students learn and acquire the second language(s) through formal education or conscious learning. In the context of Javanese and Indonesian, simultaneous bilingualism is relevant. Related to English and Javanese or Indonesian, successive bilingualism is more relevant.
Analysis of the Reform Path of Music Education in Colleges and Universities in the Era of "Internet+"

Under the wave of "Internet+", the traditional music education model can no longer meet the needs of today's students and society, therefore, the reform of music education in colleges and universities is urgent. In this paper, we will analyze the reform path of music education in colleges and universities in the era of "Internet+" from four aspects, such as offering online music courses, utilizing virtual laboratories and technical tools, promoting distance education and online assessment, and establishing online social and cooperation platforms, to provide some suggestions and ideas for the development of music education in colleges and universities.
The Comparison of the performance of crypto assets, stocks, bonds, and gold in Indonesia during Covid-19 Pandemic

This study aims to determine whether crypto assets are suitable as an alternative investment when compared to the performance of the LQ 45 stock index, 10-year Indonesian Government Bonds, and Antam's precious metal in the form of gold. The measurement of the performance of an investment is not only seen from the rate of return but also needs to pay attention to the risks to be borne, then the performance measurement is used using the Sharpe, Treynor, and Jensen measurement methods. The three models base their analysis on past rates of return to determine the compensation for the returns obtained for each measure of risk borne. This study used descriptive analysis with case study methods, while hypothesis testing was carried out by nonparametric statistical tests using Kruskal-Wallis H because there were more than two independent variables. The values of the Sharpe Index and Jensen Index show that Bitcoin investment instruments are the highest-performing instruments while the LQ45 stock index is the lowest. The conclusion of this study shows that there is no significant difference between investment performance using the Sharpe method, while in the Treynor and Jensen methods, there are significant differences.
Sistem Pakar Metode Case-Based Reasoning Untuk Deteksi Penyakit Stunting Pada Anak

Toddlers have a very high risk of being stunted such as chronic malnutrition, height, or body length that is too small for the same age group. During pregnancy Malnutrition can be experienced by infants, even in the early days of birth, but stunting cannot be experienced for babies under two years of age. One of the efforts to increase the level of health in children is by identifying stunting. Manual identification by measuring the child's height and weight is considered ineffective. The Focus of this research is creating an expert system for detecting stunting in children using the Case based reasoning (CBR) method using website-based technology so that it can be used anytime and anywhere.. This study uses the RnD (Research and Development) method with the stages in the ADDIE research as follows (1) Analysis (2) Design (3) Development, (4) Implementation (5) Evaluation. The results of the research are in the form of an expert system for detecting stunting in children using the Case-based reasoning (CBR) method which has succeeded in detecting/diagnosing stunting in children and can provide suggestions for several diagnostic results as well as solutions from the results of the diagnosis, the application is made website-based so that it can be used by anyone, anywhere, and anytime. From the results of application testing using the white box testing method, the scenario is appropriate and the application is running as it should.
تطبيق طريقة القواعد والترجمة لتنمية مهارة القراءة عند طلاب الصف الأول بالمدرسة العالية الإسلامية الحكومية 4 فيدي

This study aims to know the application of the grammar and translation method to develop the reading skill of first-grade students in the Islamic High School of Government 4 Pidie. The research method used by the researcher is the procedural research method. The research tools that the researcher will use in collecting data are testing, observation, and documents. As for the results of the research, the results of the research in the first round indicate that the teaching and learning process is not successful, and the students’ enthusiasm is good, but they do not understand the material studied, and that gaining the average value of the results of students’ learning in the first round means 59.5, so that the researcher concludes that education in the first round is not enough. It must continue until the second round. The results of the research in the second round indicate that the teaching and learning process is effective and that students are active and enthusiastic in learning, as the average score was 77.5.
Multimodal Analysis of the Disabled Character Tyrion Lannister in the Game of Thrones Series (2011-2019)

Media, especially films, have an important role in the construction of people with disabilities. This research examines Tyrion Lannister as a person with a disability represented and constructed in the Game of Thrones series. Tyrion Lannister is interesting because he is the only character born with a disability. This condition differs from others with perfect physical conditions in real life. In this series, Tyrion Lannister shows the body as a social sign. He is represented as a realistic and complex character, not inspiring, not evil, or selling mercy, as the portrayal often used by the media in portraying people with disability. This research uses a qualitative approach with a multimodal critical discourse analysis methodology by Gunther Kress and Theo van Leeuwen. The data is based on seasons and episodes of the Game of Thrones, which relate to Tyrion Lannister as people with a disability, literature study, and documentation. The research found that the representation of Tyrion Lannister is realistic and complex, showing the prejudice and social stigma he has received as a person with a dwarf body.
Smart Attendance System Using Face Recognition

Implementing an attendance system in schools and colleges is crucial, and relying on manual methods poses challenges such as reduced accuracy and maintenance issues. Utilizing face recognition techniques can significantly enhance accuracy and efficiency compared to traditional methods. Various existing systems incorporate technologies like face recognition using IoT, PIR sensors, and hardware devices, but maintaining these sensors can be challenging. We aim to address these challenges by implementing a system based on the Haar Cascade Algorithm, known for its high accuracy. This algorithm can capture images effectively within a range of 50-70cm. To simplify the process, we are developing a user-friendly graphical interface that enables image capture, dataset creation, and one-click dataset training. Upon successful face recognition, the system will display the student’s name and roll number, automatically recording this information in an attendance sheet with the corresponding time and date.
Blockchain based Healthcare System

The healthcare industry encounters numerous challenges concerning data management, privacy, and security. Traditional healthcare systems rely on centralized databases for storing and managing patient information, making them susceptible to data breaches and misuse. Over the last few years, blockchain technology has gained prominence as an influential solution for the efficient and secure management of healthcare data. Through providing a decentralized, secure, and transparent data storage and management system, blockchain holds the capability to tackle these challenges. This paper delves into the concept of blockchain based healthcare system, explores its benefits, discusses the implementation challenges, including the incorporation of two-step user verification.
Spatial and genetic relationship of endogenous and exogenous gold content in the area of the Pervomaisko-Zverevsky ore cluster (Middle Urals)

Te relevance of the work is due to the need to improve the efciency of appraisal work on new and unconventional types of gold mineralization within the known ore-placer regions and clusters. Te purpose of the work is to show the results of the study of the spatial and genetic relationship between endogenous and exogenous gold content using the example of the Pervomaisk-Zverevsky ore-placer cluster (OPC). Research methodology. Mineralogical and geochemical sampling of ore bodies outcrops, chemical weathering crusts; schlicho-mineralogical studies; study of native gold on a digital basis, taking into account the shape, size and composition of particles; mapping of parameters of gold particles in the section of the crust, the upper horizon of the Mesozoic eluvium. Results. Te factors that determine the localization of gold content within the OPC are substantiated. Among the endogenous factors: structural-tectonic, magmatic, metallogenic specialization of individual blocks. In the volume of the Verkhotursky granodiorite massif (an object of prospecting), a linear substockwork with a low level of mineralization of the gold-polysulfde-quartz type was revealed. When considering exogenous factors, the confnement of ore-bearing chemical weathering crusts to smoothed relief areas, comparable with Mesozoic denudation leveling surfaces and containing dispersed gold mineralization in the basement, was established. Te profle of the weathering crust in the Verkhotursk area is complex, without a distinct vertical hypergene zonality. Tese crusts are considered as “superimposed”, fnally formed under the infuence of later low-temperature argillization processes. Te most signifcant concentrations of gold are established in the upper horizon of the crust - the zone of the Mesozoic eluvium. Based on the mineralogical and geochemical study of metal particles, a model of its accumulation, sufusion-gravity, is proposed. Under certain conditions, a gold-enriched crustal horizon can have an independent applied value. In past years, gold-bearing areal accumulations (poddernikovye placers) were successfully mined. When mapping free gold, a wide range of sample fuctuations (from low- to high-grade) was established, indicating in favor of the multi-stage processes of ore formation in the OPC area. Conclusions. Many years of experience in the geological-geomorphological, mineralogical-geochemical study of the OPC of the Ural region has been tested by the practice of forecasting and prospecting. Te approaches outlined, taking into account the close spatial relationship between endogenous and exogenous gold content, are recommended for implementation and further improvement.
A Systematic Evaluation of Artificial Intelligence's Impact on the Landscape of Threat Modeling

This article systematically evaluates the influence of Artificial Intelligence (AI) on the landscape of Threat modelingin cybersecurity. The study involves an extensive review of relevant journal articles, books, and conference papers to comprehensively assess the current state of the field. By synthesizing existing literature, we identify and analyze the ways in which AItechnologies are applied in Threat modelingmethodologies. The evaluation explores the strengths and limitations of these applications, shedding light on the advancements that have significantly enhancedThreat modeling.Furthermore, the research includes a meticulous gap analysis within the existing literature, revealing areas where further investigation is warranted. Identified gaps in the current research landscape serve as a foundation for proposing future research directions in AI-enhanced Threat modeling. The current literature related to the current landscape of Artificial Intelligence research in cybersecurity predominantly focuses on articles and active studies pertaining to the detection and prevention of cyber-attacks. However, there is a noticeable gap in the existing literature when it comes to leveraging Artificial Intelligence to enhance Threat modeling. While numerous innovative methods have been proposed in recent articles, these predominantly concentrate on Threat modeling within specific domains, such as unmanned vehicles, Cyber-Physical Systems, and Healthcare. There is a lack of generalization in applying these findings to improve Threat modeling practices more broadly. A promising avenue for further research lies in the automation of Threat modeling. Existing literature predominantly emphasizes the study of Threat generation areas, leaving other crucial aspects, such as Architecture representation and Model validation,in need of more comprehensive exploration and analysis
Metode Monofilamen Test dan Ipswich Touch Test (IPTT) untuk Deteksi Neuropati Sensorik Diabetes

This study aims to describe the monofilament test and Ipswich touch test methods for screening diabetic sensory neuropathy. The research method used is a literature study of research articles published in national and international journals in 2020-2023 using the Scopus, Science Direct, PubMed, and Google Scholar databases. The results of this study identified ten research articles that explained that 10g monofilament is the most widely used diabetic sensory neuropathy screening tool because it is simpler, more objective, and easier to use. The Ipswich Touch Test is the most straightforward inspection technique that can be carried out without using tools. In conclusion, both methods proved effective in detecting diabetic sensory neuropathy, although differences in sensitivity and specificity of the two methods require further research.&#x0D; Keywords: Ipswich Touch Test, Monofilament Test, Diabetic Neuropathy, Sensory Neuropathy
CLASSIFICATION OF DISTRACTED DRIVER USING SUPPORT VECTOR MACHINE BASED ON PRINCIPAL COMPONENT ANALYSIS FEATURE REDUCTION AND CONVOLUTIONAL NEURAL NETWORK

The use of ground transportation in Indonesia, especially in major cities like Surabaya, has experienced rapid growth. However, this increased usage has also led to a rise in traffic accidents. One of the main contributing factors is driver distraction. Therefore, this study aims to develop a method for detecting distracted drivers using image classification technology with Convolutional Neural Networks (CNN) and Support Vector Machine (SVM) models. In this research, data was obtained from the "State Farm Distracted Driver Detection" dataset, which contains images of drivers who are either distracted or not focused while driving. The initial process involves data preprocessing, such as resizing images to 50 x 50 pixels and dividing the dataset into training and testing data. Next, feature extraction is performed using a CNN model with three convolutional layers, three Maxpooling layers, and one flattened layer. After feature extraction, the Principal Component Analysis (PCA) method is used to reduce the dimensionality of the data. Furthermore, an SVM model was trained using data reduced by PCA with a 60:40 data split. This research conducted a comparison between the use of PCA and not using PCA. Based on the test results, the use of PCA not only improved the classification accuracy to 96.28% compared to 92.46% without PCA but also accelerated the training time to 10.64 seconds from 19.67 seconds without PCA.
Risiko Infeksi Plasmodium Falciparum dalam Kehamilan terhadap Perkembangan Bahasa Reseptif dan Ekspresif pada Anak Balita

This study aims to analyze the relationship between Plasmodium Falciparum infection in pregnancy and impaired receptive and expressive language development in children under five. The research method uses an observational analytical design with a case-control approach. The results of the study showed that there was no significant relationship between a history of plasmodium falciparum infection in pregnancy and receptive language disorders in children under five, and there was no meaningful relationship between a history of plasmodium falciparum infection in pregnancy and expressive language disorders in children under five. In conclusion, a history of Plasmodium falciparum infection during pregnancy is not associated with impaired receptive and expressive language development in children under five.&#x0D; &#x0D; Keywords: Expressive, Pregnancy, Language Development, Plasmodium Falciparum, Receptive
Rancang Bangun Sistem Informasi Dan Aplikasi Marketplace Pemesanan Jasa Service Barang Elektronik

Electronic goods become an important aspect in everyday life that is very helpful and makes it easier to complete work. When the electronic goods are damaged, people find it difficult to find a technician or service provider due to several factors such as the difficulty of finding a service place and the lack of information services for a trusted and professional electronic service or technician in their field, and also damaged goods must be brought to a service center making it difficult for the community. Making a marketplace application system for ordering services for electronic goods using the OOAD method with stages divided into two, namely OOA (Object Oriented Analysis) and OOD (Object Oriented Design) and described using UML tools. The purpose of this research is to design a marketplace application for ordering services for electronic goods, so that it can make it easier for people to find and order service providers. The results of the system and application of this service booth are very helpful for the community in finding and ordering electronic goods service services according to the user's wishes and can be done anywhere and anytime as well as helping service providers (service shops) in reaching more customers. Keywords: Electronic Goods, Service Application Stations, Service Services.
THE DEVELOPMENT OF THE SENI CINTA WEBSITE, INCORPORATING METICULOUS PROCESSES IN DESIGN, DEVELOPMENT, AND THOROUGH EVALUATION OF USER EXPERIENCE

This in-depth investigation delves into the evolution of the web for the "Seni Cinta" book, also known as "Love Uses the Brain" in English. Seni Cinta is a digital platform in the Malay language that is dedicated to unravelling the intricate facets of love and love languages within various relationships, including those in families and friendships. Beyond static content, the website enriches user engagement by incorporating five unique personality tests, offering individuals profound insights into their distinct characteristics. Utilising the user-friendly WordPress platform, the website is a custom creation that does not require coding expertise. The primary aim of this study goes beyond exploration; it positions the website as a strategic tool to enlighten the target audience about their individual love personality types. Additionally, the website serves as a promotional gateway for the company's upcoming book, "Cinta Pakai Otak". To simplify the user experience, the platform facilitates seamless book orders, eliminating the need for prolonged account registrations and prioritising accessibility and efficiency. The methodology of the study unfolds through several phases, starting with the requirement phase and progressing through design, development, testing, and deployment, culminating in an ongoing maintenance phase. Client satisfaction with the Seni Cinta website validates the achievement of the primary goal: designing an interactive and user-friendly digital space. The successful integration of informative content, personality assessments, and streamlined book promotion underscores the effectiveness of this comprehensive approach, demonstrating its relevance in meeting the evolving needs of a diverse audience navigating the complexities of love and interpersonal dynamics.