Reviewerly/exHarmony huggingface dataset:
Development of Learning Media Using the Sparkol Videoscribe Application on Measuring Tools at Vocational High School

This Study aims to (1) produce text video learning media that contains understanding, how to use, how to read measuring results, maintenance and repair of each measuring tool; (2) knowing eligibility the text video learning media using the sparkol videoscribe application;(3) knowing the student respond the text video learning media using the sparkol videoscribe application. This research includes research and development (R&amp;D). The development modelin this study refers to the Borg and Gall model and is simplified by the puslitjaknov team into 5 steps with stages 1) Product Analysis; 2) Early Product Development; 3) Expert Validation And Revision; 4) Small Group Trials; 5) Large Group Trial And Product End. The development of learning media is declared possible to be used for learning with the results of the average score of media experts of 3.13 and materi experts of 3.33. Student Responses based on the average score of the small group trials result of 3.29 and the average score of the large group trials results of 3.32. Based on these assessments and response, the media developed is suitable use for learning.
Evaluasi Tingkat Keberhasilan Pembelajaran Online dengan menggunakan Metode Fuzzy Mamdani

Online learning is no longer a new thing for many schools today, online learning is a solution for schools, teachers and students to continue to carry out teaching and learning activities even though they are separated by distance. With this solution, it is also necessary to have an evaluation process to measure whether this method is really successful and feasible to use. SMK Negeri 1 Tapalang Barat is a school that still applies online learning to this day because the school building is still under renovation. However, the evaluation process of the learning process has never been carried out, departing from these problems, this study discusses the evaluation of the success rate of online learning using the Mamdani fuzzy method. The test subjects in this study were students of class XII Teknik Audio Video at SMK Negeri 1 Tapalang Barat, whose data were taken from school archives and the distribution of questionnaires to students and teacher responses to the evaluation system of online learning success rates were collected through questionnaires. The data that has been collected will be analyzed using a quantitative approach. The results showed that the system built to facilitate the school in evaluating student learning in online learning for class XII Teknik Audio Video at SMK Negeri 1 Tapalang Barat has been successfully tested and runs according to its functionality and has succeeded in meeting the needs of the school for the problems faced, both from the point of view of the authors and users who use the system, as well as the manual calculation of the mamdani fuzzy method has been successfully applied to the system.
Data from Gene Methylation and Cytological Atypia in Random Fine-Needle Aspirates for Assessment of Breast Cancer Risk

&lt;div&gt;Abstract&lt;p&gt;Methods to determine individualized breast cancer risk lack sufficient sensitivity to select women most likely to benefit from preventive strategies. Alterations in DNA methylation occur early in breast cancer. We hypothesized that cancer-specific methylation markers could enhance breast cancer risk assessment. We evaluated 380 women without a history of breast cancer. We determined their menopausal status or menstrual cycle phase, risk of developing breast cancer (Gail model), and breast density and obtained random fine-needle aspiration (rFNA) samples for assessment of cytopathology and cumulative methylation index (CMI). Eight methylated gene markers were identified through whole-genome methylation analysis and included novel and previously established breast cancer detection genes. We performed correlative and multivariate linear regression analyses to evaluate DNA methylation of a gene panel as a function of clinical factors associated with breast cancer risk. CMI and individual gene methylation were independent of age, menopausal status or menstrual phase, lifetime Gail risk score, and breast density. CMI and individual gene methylation for the eight genes increased significantly (&lt;i&gt;P&lt;/i&gt; &lt; 0.001) with increasing cytological atypia. The findings were verified with multivariate analyses correcting for age, log (Gail), log (percent density), rFNA cell number, and body mass index. Our results demonstrate a significant association between cytological atypia and high CMI, which does not vary with menstrual phase or menopause and is independent of Gail risk and mammographic density. Thus, CMI is an excellent candidate breast cancer risk biomarker, warranting larger prospective studies to establish its utility for cancer risk assessment. &lt;i&gt;Cancer Prev Res; 9(8); 673–82. ©2016 AACR&lt;/i&gt;.&lt;/p&gt;&lt;/div&gt;
Analysis of Readiness For Implementation of Electronic Medical Records Using DOQ-IT Method

This study addresses the challenge of managing medical records in Indonesia’s health sector, particularly focusing on the transition to electronic medical records (RME) as mandated by PMK No. 24 of 2022. The primary objective is to assess the readiness for implementing Electronic Medical Records (EMR) at the Milla Husada Clinic using the DOQ-IT (Doctor’s Office Quality-Information Technology) Approach. The research adopts a descriptive design with a quantitative approach, utilizing questionnaires to gather data from 40 clinic officers. Total sampling technique was employed for participant selection. Univariate analysis was used for data interpretation. The findings reveal a high level of readiness for RME implementation at the clinic, with a total readiness score of 117.74, placing it in range III, indicative of a very ready status. The readiness levels, in descending order of scores, were: organizational work culture (4.34), governance and leadership (4.26), IT infrastructure (4.23), and human resource readiness (3.80). Despite the overall readiness, the study identifies human resources as an area requiring further enhancement, specifically the need for specialized training in RME implementation. This research highlights the critical areas for improvement to ensure successful adoption of electronic medical records in the healthcare setting.
Single-Shot Object Detection and Supervised Image Segmentation for Analysing Cell Images Obtained by Immunohistochemistry

Analyzing cell images and identifying them correctly is a fundamental task in the immunohistochemical exam. In this paper we propose a novel method to segment FoxP3+ Regulatory T cells (Treg) images automatically, in order to assist healthcare professionals in the task of identifying and counting potentially cancerous cells. The proposed method relies on combining an object detection network, which is tailor-made for microscopy images, with a marker-based image segmentation method to produce the final segmentation, while requiring only a 50x50 training patch to do so. Our pipeline consists on predicting the location of the cells, applying morphological operations on the prediction weights to transform them into markers, and finally using the segmentation method iDISF to generate high quality segmentations. We also propose a new FoxP3+ Treg cells dataset containing 10 high resolution images, with a qualitative and quantitative analysis of our segmentation methods for this dataset.
Pidginitation of Bimanese at Seventh Grade of SMP Negeri 2 Bolo

This study discusses the pidginitation of bimanese at seventh grade SMPN 2 Bolo ,which aims to determine the types of communication pidgin , and to identify the effects contained in the pidgin. This study focuses on the theory of Trask L.A&#x0D; Then analyzed using qualitative descriptive methods. The researcher used the video and wrote text as in Whatsaap group to find out more data validity. This research was conducted to determine the types of communication functions inpidginitation.&#x0D; The findings show that the types of communication fuctions in pidgin actions are: 3 assertive (addition), 1 directives (lexifer), 3 expressive (lexicon) , declarations ( declaration not found in this study) ). Then, in the act of perlokusi. The researcher concluded that assertions and offer commintments were usually used by the pidgin. Based on the explanation above, the researcher concluded that the pidgin of pidginitation of effect of function communication pidgin ,Beijing 2014.
KLASIFIKASI INDEKS PEMBANGUNAN MANUSIA DI INDONESIA TAHUN 2022 DENGAN SUPPORT VECTOR MACHINE

The success of national development apart from being seen from the high rate of economic growth, the most important thing is the success in the aspect of human development. The Human Development Index is a measure used to monitor and evaluate human development. The purpose of this study is to measure the classification accuracy of the Human Development Index in Indonesia in 2022 with the Support Vector Machine (SVM) and a performance measurement tool for classification problems, namely the Confusion Matrix. Based on the research results, it can be obtained that the percentage accuracy of the classification of the Human Development Index in Indonesia in 2022 with the Support Vector Machine (SVM) is not directly proportional to the increase in the amount of training data, this conclusion implies that it is necessary to consider scientifically in determining the ratio of testing data and training data.
Budaya Literasi Dalam Dunia Pendidikan (Studi Kasus Pada Sd Di Provinsi Riau)

One of the biggest challenges in the education system in Indonesia is the lower quality of education. Although the government has implemented various policies to overcome these problems, the results obtained have not shown significant progress. Based on several sources and observations in the field, the low quality of education is caused by the low literacy skills of students in learning and in everyday life. The problem with the quality of education has been exacerbated by the Covid-19 pandemic which has caused "learning loss" because learning cannot be done face-to-face. Therefore, it is important for teachers to understand and develop a literacy culture through the implementation of the six basic literacy in education, especially in the learning process. Currently, with the decline in cases of the Covid-19 pandemic, we can implement a culture of literacy in Limited Face-to-Face Learning (PTMT). It is hoped that the implementation of a literacy culture in schools will be able to improve the overall quality of education.
Malaysia's Sustainable Future: Navigating Industry 4.0 through a Low-Carbon Agenda

The evolving technological landscape has transformed the business realm, compelling companies to navigate a dynamic environment and embrace innovation to maintain competitiveness. One of the most recent trends in this pursuit is the Industrial Revolution or Industry 4.0 (IR 4.0). Industry 4.0 has been widely discussed as a means of providing greater advantages for countries and firms. However, the shift to automation and data-driven decisions of IR 4.0 is still slow, especially in developing countries like Malaysia. Throughout the world, IR 4.0 is still in policy development, and the literature shows that IR 4.0 is still in the conceptual stage. As IR 4.0 is inevitable, countries like Malaysia must start gearing toward readiness. This must be done without impacting the environment, such as by increasing carbon emissions. In order to do that, this paper has investigated the challenges, impact, issues, enforcement and risk minimization of IR 4.0 without sacrificing low carbon performance among Malaysian firms. The review of current literature and whitepapers found that Malaysia is still creating awareness for IR 4.0, and policymakers are still developing IR 4.0. This paper has proposed future research that will gear Malaysia to establish an IR 4.0 readiness framework and provide empirical evidence from the industry.
A Gröbner Basis Database

In response to the increased interest in machine learning to solve mathematical problems combined with the complexity inherent in computing Grobner bases, we create a Grobner basis database. Through this database we aim to provide a platform where researchers and practitioners can: obtain accurate and verified data on Grobner bases, submit interesting and important examples of Grobner bases, and obtain curated datasets for benchmarking, learning, and other common problems in the research community. Given the nascent stage of the database, new features are likely to be added on as it grows.
Metaverse: challenges of digitalization of society and education

Modern technologies of artificial intelligence, augmented, virtual, mixed, augmented reality, 5G, blockchain have had a significant impact on many areas of society, and the education sector is no exception. The article examines different approaches to the concept of the “metaverse", describes its essence and development trends. The article shows the possibilities of the metaverse in the educational process.
Effect of Balanced Nutrition Education using The Emodemo Method on Knowledge and Attitude of Obesity Adolescents at SMA Negeri 1 Krian Sidoarjo

Obesity is a condition of excessive accumulation of body fat tissue which will cause disease. Obesity can be defined as a result of overeating. This study aims to determine the effect of balanced nutrition education using the emodemo method on the knowledge and attitudes. This research is a quantitative Pre-Experimental with the type of pre-test and post-test One Group Design, data collection using questionnaires. The sample of this research is 34 respondents using Proportional Random Sampling technique. Statistical tests used the Wilcoxon Signed Runk Test to determine the effect before and after being given counseling using the emodemo method module game assembling donut rings on the level of knowledge and attitudes about balanced nutrition. The level of knowledge of obese adolescents by 8.8% increased to 85.3%. While the attitude level of obese adolescents was 82.4% increasing to 88.2%. There is an effect of balanced nutrition education using the emodemo method on the knowledge and attitudes of obese adolescents. Schools can provide healthy canteens that provide balanced nutritious meals for adolescents.
THE INFLUENCE OF USING INSTAGRAM ON CYBERBULLYING BEHAVIOR IN ADOLESCENTS AT SMK NEGERI 18 JAKARTA SCHOOL

With the increasing popularity of social media platforms like Instagram, it is crucial to understand the relationship between platform usage and cyberbullying behavior in order to promote a safe online environment for adolescents. This study aims to investigate the impact of using Instagram online media on cyberbullying behavior among teenagers at SMK 18 Jakarta. A quantitative approach is employed, utilizing a correlational method to examine the relationship between at least two factors. The study population consists of all students attending SMKN 18 Jakarta in grades 10, 11, and 12 in 2020, with a total of 210 students. The sample size of 100 students is determined using purposive sampling techniques. Data collection techniques include questionnaire deployment, field observation, interviews, and literature review. Validity and reliability testing are conducted using the Person Product moment correlation technique, and the data are analyzed using SPSS version 23. The study findings reveal that Instagram usage significantly influences cyberbullying behavior. The coefficient of determination analysis reveals that the Instagram variable explains 53.8% of the variance in cyberbullying behavior, while the remaining 46.2% can be attributed to other factors not examined in this study. This research highlights the need to address cyberbullying on Instagram and promote responsible social media usage among teenagers. Strategies should be developed to increase awareness of the impact of cyberbullying and foster empathy among users. Educational initiatives and support systems can help mitigate the negative effects of cyberbullying and create a safer online environment for adolescents.
Pengelolaan Kelas Guru Bahasa Inggris Bersertifikasi PPG di Perguruan Tinggi Negeri

This study aimed to evaluate the effect of the teacher certification program policy (PPG) on English teachers toward their classroom management for English teachers in one public university in Palembang. Gender, age, teaching experience, and school level have been assumed to have a contribution to the participants in managing their classes. The study was designed as a quantitative method with a survey approach by distributing the questionnaire that consists of demographic background information and Attitudes and Beliefs in Classroom Control Inventory (ABCC) by Martin, Yin, and Baldwin (1998) as the data. Logistic regression and T-Test using SPSS 24 had done to analyze the data. The results showed that most participants chose instructional management as the best method in classroom management. Then teaching experience had considered having a high contribution to English certified teacher of PPG to manage the class as defined by Sokal, Smith, and Mowat (2003). This study discovered school level also contributed to participants in classroom management. Though the results showed that all the factors have contributed, the researcher did not find a significant difference between English teachers of PPG in classroom management classified by gender, age, teaching experience, and school level in the T-Test.
FLASH FICTION DI INDONESIA: 1858 HINGGA KINI

Flash fiction or what is better known in Indonesia as "mini fiction" or also "mini prose" is not a form of work that arises as a result of dealing with limited space today but also has something to do with the level of literacy at a certain time. It is not surprising that the publication of early prose in Indonesia, which at that time was still under colonial rule, namely in the mid-19th century, was essentially similar to the “fiksi mini” that has been developing in Indonesia in recent years. Thus, this paper is an attempt to straighten out and trace the dynamics of the flash fictions which have been published in Indonesia since more than a century ago. Because of this tracking will, reading of the flash fictions that have been published is a must. From the data obtained, several “fiksi mini” were used which were clearly able to confirm the existence of flash fictions which could be said to have been ahead of its time. Facts like this are results that are worth caring about considering that the present atmosphere has existed in the past. This kind of literary reality reaffirms the understanding that literary works in particular, whatever their form, have the power to enter the future unconsciously or not on purpose. In form, what happens is the tacit proclamation of a genre, for example, while in content it is usually concerned with some sort of natural forecast or prediction.
Prediksi Harga Forex Menggunakan Algoritma Long Short-Term Memory

Trillions of dollars per day of foreign currency trading activity occur in the forex market, which has very volatile movements in foreign currency trading. Trade based on bid and ask prices. The market determines foreign exchange rates based on supply and demand rules. Currency trading in pairs such as EUR/USD is a comparison of the value of the Euro against the Dollar as a basis for research, rising and falling currency prices in forex move fluctuatingly, so a market participant must be able to decide on buying and selling positions. Because wrong decisions can lead to losses. One of the ways to reduce risk in making decisions in buying and selling in forex can be using forecasting. This study uses the LSTM method in predicting forex prices which will be tested on several scales of dataset distribution. The smallest error results using a total dataset of 2631 with a dataset division of 70:15:15, which is divided into 70% data for training, 15% data for validation and 15% data for testing produces an RMSE value of 0.038, MAPE 2.5%. In measuring how well the regression model used with Rsquare on the data distribution is 70:15:15 and the total dataset used is 4979 to get the best results, namely 97%.
Machine Learning Based Classification of Medical Images of Melanoma Using Transfer Based Learning

Over 7650 people died from the United States died from melanoma just within 2022, with this number projected to increase by 4.4% in 2023 according to the Skin Cancer Foundation. By accurately diagnosing this disease and implementing an accurate model into the healthcare space for clinical decision-making, early classification of skin lesions may increase the likelihood of treatment before cancer metastasis. Machine learning diagnosis has gained attention in the previous years and has been proven to contribute to the early diagnosis of various diseases. In the context of skin cancer diagnosis, there is a limited amount of medical images, making it challenging to utilize typical machine learning approaches for classification. Therefore, in this work, we utilize transfer learning for the automated classification of medical images of melanoma into benign and malignant. Accordingly, we develop a transfer based algorithm based on a pre-trained InceptionV3 and a VGG16 model in Python. We compared the performance of these two models in order to evaluate the optimal model. The number of epochs and the learning rate were optimized for both models. In order to assess the model, we utilize a variety of metrics, including confusion matrix, ROC, AUC, accuracy, sensitivity, specificity, precision, and F1 score. The results of this study demonstrated that an optimized VGG16 model outperformed VGG16 and was able to successfully classify at least 90% of testing images. The developed model can potentially contribute to the early and automated diagnosis of melanoma in clinical settings.
Personal Health Monitoring with Bluetooth Sensors and Android Smartphones

The objective of this research project is to utilize a multi-modal biosensor platform incorporating multiple MEMS sensors for continuous vital signs monitoring, and integrate it with a smartphone unit for cellular network connectivity and communication.Using Bluetooth interface, sensor data is transferred to smartphone devices equipped with Android operating system. This enables real time data analysis with smartphone devices. Smartphones are used for displaying incoming sensor data and performing signal processing. With the use of internet enabled smartphones, patients and doctors can be more in touch, and doctors can monitor/keep track of their patients’ health status. The miniature size of the sensors allows them to be practical and convenient to be carried around in everyday activities. Since most patients already carry personal smartphones, health monitoring technology can be deemed affordable, requiring only Bluetooth enabled sensors and an application software.Although several patient health monitoring applications exist, these solutions typically have a separate device to process the data and send it wirelessly. The goal of this research is to replace this extra hardware device with the patient’s personal phone to do the processing and the sharing of the data. The proposed solution makes it easier for the patients to carry the device around, since it is comprised of only the sensors and an application software running on the host smartphone platform that we all carry in our daily lives.