Reviewerly/exHarmony huggingface dataset:
Inovasi Pembelajaran Kitab Kuning Di Pesantren Dalam Penguatan Literasi Keagamaan

This research aims to analyze the forms of innovation in the teaching of Kitab Kuning in Islamic boarding schools (Pesantren) to strengthen religious literacy. The study employs a library research approach, utilizing literature sources such as journals, books, dictionaries, documents, magazines, and other references. The research method involves a literature review. The results indicate that Pesantren is capable of producing students proficient in Arabic language and fundamental knowledge of religious studies. Various innovations can be implemented to enhance religious literacy, such as the use of technology through e-learning and online forums. Additionally, innovations in teaching models or methods, such as the ArRumuz method, which facilitates quick reading of religious texts, and problem-based learning methods, involving the study of issues in society, can contribute to strengthening religious literacy. Moreover, innovations in extracurricular activities, including programs like Qiraâ€™atul Kutub tutoring, Qiraâ€™atul Kutub study sessions, and achievement award and art performance programs, are also noteworthy.
A Study of School Teachers on Adaptation to Online Education During 2024 Pandemic Period

A qualitative study was conducted among Delhi private and government school teachers on how they have been adopting to online education during this covid-19 pandemic. Views of the teachers were captured on the impact on the quality of education, role of ICT/Technology and adaptation from all three – parents, children, and teachers in this new format of teaching. Another aspect that was explored has been a blended mode of learning. Even though the perception is positive towards online teaching, there is a fear of the quality of education and how students, teachers and parents have been coping with some of the challenges that online teaching brought about. Online teaching in all its glory cannot be removed altogether and a fine balance between offline and online (blended) learning would need to be established over a period as things return to normalcy
Open Examination System

The NOU Online Examination System is a Learning Management System (LMS) along with examination system and self-assessment tool to facilitate “E-Learning System to the students for the learning purpose from a remote location".
Making new technology understandable through multimodal orientations: A digital exercise stick in customer training interaction

With a variety of smart technologies on the market, health technologies have become an increasingly everyday phenomenon. This paper focuses on customer training in the use of a new technological device, a digital mobility stick, which is an exercise stick with a built-in haptic component. It can be used as a measuring and training tool to analyze the body’s ability to balance, bend, and rotate and to guide the trajectory of one’s exercise movements. We focus on the mobility stick as a training tool, investigating how the haptic technology is introduced to the customer in instructional interaction, and what roles the technology obtains in the process. The paper uses video-recorded customer training interaction data from a health technology company. It draws on multimodal conversation analytic research on instructions and instructed actions, objects, technologies, and touch in interaction. We show that the company representative’s specific orientation to the mobility stick was consequential to the instructed actions of the customers and their learning. The analyzed cases also illustrate that the mobility stick gained different roles in the interaction, ranging from a technological and sensorial object to a technology representing information to an active participant in interaction guiding human action. The study thus contributes to our understanding of the multimodality of instructional interaction and the potentially varied roles of technology in such interaction.
MEMECAHKAN CAPTCHA-TEXT TERDISTORSI DENGAN CONVOLUTIONAL NEURAL NETWORK

At the early stage of the development, CAPTCHA-text used distorted which difficult to solve by OCR technology. The development of AI technology, machine learning and image processing year after year makes the task to distinguish between human interaction and "bot" becomes more challenging. Recently, more advanced CAPTCHA types are available to avoid the risk of using CAPTCHA-text that can be considered irrelevant anymore to secure a website. However, until now can be found some websites that still use CAPTCHA-text. This paper contains the experimental results of developing an intelligent "bots" (using AI techniques) to solve the distorted text CAPTCHA. The Convolutional Neural Network was chosen as an approach for this study because its performance has proved excellent for object recognition applications. The CNN architecture used for this research consists of three convolutional layers, three pooling layers and two fully-connected layers. From the results of experiments conducted, the system managed to achieve a level of accuracy of 75% in ± 29 hours of program execution.
LITERATURE REVIEW: PENGARUH PIJAT BAYI TERHADAP PERUBAHAN KADAR BILIRUBIN DIRECT DAN BILIRUBIN INDIRECT PADA BAYI DENGAN TERAPI SINAR

Infant massage is one of the tactile stimulation and has become a hereditary tradition and has been studied in research in the fields of neonatal science, neurology, psychology, and several other health sciences. The incidence of hyperbilirubinemia in general is a physiological problem that occurs in almost 80% of newborns with prematurity and up to 60% of aterm newborns and occurs in the first week of life. This study aims to determine the implementation of massage therapy in neonates to reduce bilirubin levels. The research method used literature review by searching articles obtained through databases including Science Direct, Elsevier and Google Scholar. The results showed five articles involving neonates in five countries with a randomized control trial (RCT) design, stating that infant massage therapy is the most influential in reducing the degree of neonatal jaundice in the group given massage therapy because it can stimulate defecation. In addition, the provision of physiological massage therapy can improve the circulation of blood flow, lymph and tissue fluids thereby increasing bilirubin output.
Application of Web 2.0 to Reduce Failure in English

The purpose of the intervention was to reduce the failure rate in English with the help of a website built to support the learning experience. Action research was employed in a mixed-methods approach with an exploratory sequential design. Techniques such as documentary analysis, semistructured interviews, and participant observation were employed with 255 high schoolers. Findings revealed that the website, together with follow-up from the teacher-researchers, helped most students achieve a passing grade, empowered the learning experience, and enhanced communicative competence and linguistic awareness. Additionally, the website’s user-friendly nature and well-suited interface simplified the learning dynamic. Furthermore, according to website data, this digital space was also used in other settings with similar objectives. Even so, apathy remained a problem as some learners chose not to take part in the strategy and did not pass. We believe that the research contributes to the state of the art and generates knowledge, especially given the lack of research addressing failure in language education.
PELATIHAN APLIKASI MICROSOFT EXCEL PEMBUATAN SLIP UPAH KARYAWAN PADA UMKM PENGRAJIN TAHU RUMAHAN KECAMATAN CIMANGGIS DEPOK

Small, Micro and Medium Enterprises are one of the backbones of the community economy in the Cimanggis sub-district, Depok. One of the known products is tofu which is produced by MSME business actors in the Cimanggis sub-district, Depok. MSME bag craftsmen in the region still use simple systems and technology in running their business including production, administration,marketing, financial recording and payroll. The aim of this service activity is to provide and introduce how to make salary slips to help prepare and transparency salaries/wages for employees in these MSMEs. The service was carried out online using Zoom Meeting media in the form of presentations and practice (tutorials) in making pay slips, presentations using the Microsoft Office Powerpoint and Microsoft Office Excel applications. Participants in service activities are representatives of MSME business actors in Cimanggis sub-district, Depok and fellow Community Service (PKM) participants. The implementation of the service received enthusiasm from the participants because it was in accordance with the conditions of business actors and could be implemented immediately, easily and cheaply.
Parametric Taxonomy of Educational Texts

The article is aimed at considering the issue of the discursive text typology and developing a parametric model of the elementary school texts for the ontological domain by employing a corpus-based approach and methods of linguistic statistics. The research corpus of over 90,000 tokens comprises texts of 13 textbooks acknowledged in the 2 nd grade of Russian schools. The applied multifactor discriminant analysis enabled identification and validation of typological characteristics of the texts under study, offering the formula for referring educational texts to a subject domain on Philology, Mathematics, and Natural Sciences. The discriminant analysis results confirmed the hypothesis that each type of text corresponds to a parametric model, which includes six constants: the average number of words in a sentence, the average number of nouns, the average number of verbs and the average number of adjectives per sentence, local noun overlap, global argument overlap. The assessment of linguistic parameters was performed by an automatic Russian text analyzer RuLingva. The classification accuracy of the parametric model was identified as 80%, which ensures its high reliability and allows for the data obtained to be employed in linguistic expertise, as well as for in automated linguistic profiling of texts. The prospect of the research implies installation of the model in RuLingva and development of similar models for texts of other subject domains.
UJI KELAYAKAN KONSTRUKSI BALOK PT DAEYUNG DARI APLIKASI SAP2000 MENGGUNAKAN MACHINE LEARNING DENGAN MODEL LINIER REGRESSION

Structural design is one of the important elements in the construction of a building in order to produce a safe, strong and economical building. Especially in the design of upper structures (in the form of floors, beams, columns, walls and roofs). In beam structures, design and feasibility testing regarding dimensions and the use of reinforcement are safe and economical. Based on the allowable normal stress, it can be seen whether the normal stress is feasible or not if a certain input value is entered, so that information on the feasibility of this quantity can be applied directly to the building. Therefore, it is necessary to have a simulation process regarding the feasibility of stress so that the building to be created can meet the criteria for being a safe, strong and economical building. Overall the analysis process uses Machine Learning methods. By using three types of data, namely algorithm training data, validation data and testing data with a comparison percentage of training and testing data of 80%:20%. The training process produces very high accuracy. This can be seen in the R-Squared value of 0.99 while the RMSE is 1.30e-06. Meanwhile, in the data testing process, high accuracy was also obtained, for R-Squared of 1.0 and RMSE 3.87e-16. After the training and testing process has obtained very good results, we proceed to the beam feasibility testing process by entering certain input values, to produce the normal stress magnitude (Mpa) along with the confidence level of each normal stress prediction result.
Comparative Analysis of Word Embeddings for Multiclass Cyberbullying Detection

Cyberbullying has emerged as a pervasive concern in modern society, particularly within social media platforms. This phenomenon encompasses employing digital communication to instill fear, threaten, harass, or harm individuals. Given the prevalence of social media in our lives, there is an escalating need for effective methods to detect and combat cyberbullying. This paper aims to explore the utilization of word embeddings and to discern the comparative effectiveness of trainable word embeddings, pre-trained word embeddings, and fine-tuned language models in multiclass cyberbullying detection. Distinguishing from previous binary classification methods, our research delves into nuanced multiclass detection. The exploration of word embeddings holds significant promise due to its ability to transform words into dense numerical vectors within a high-dimensional space. This transformation captures intricate semantic and syntactic relationships inherent in language, enabling machine learning (ML) algorithms to discern patterns that might signify cyberbullying. In contrast to previous research, this work delves beyond primary binary classification and centers on the nuanced realm of multiclass cyberbullying detection. The research employs diverse techniques, including convolutional neural networks and bidirectional long short-term memory, alongside well-known pre-trained models such as word2vec and bidirectional encoder representations from transformers (BERT). Moreover, traditional ML algorithms such as K-nearest neighbors, Random Forest, and Naïve Bayes are integrated to evaluate their performance vis-à-vis deep learning models. The findings underscore the promise of a fine-tuned BERT model on our dataset, yielding the most promising results in multiclass cyberbullying detection, and achieving the best-recorded accuracy of 85% on the dataset.
Klasifikasi Sentimen Opini Metaverse dari Twitter Menggunakan Algoritma Support Vector Machine

With the increasing use of Twitter, a real-time social media platform, it has become one of the places or spaces for people to express their opinions about the metaverse. Therefore, the development of a program capable of classifying tweets based on their opinions into positive, negative, and neutral categories is necessary. In conducting sentiment analysis, the Support Vector Machine (SVM) algorithm is used for classification. The results of this research, through testing using a confusion matrix, yield an accuracy rate of 0.83 or 83%, indicating the level of agreement between the model's predictions and the actual outcomes. Additionally, a precision of 0.93 or 93% is obtained, which shows the model's ability to accurately identify positive, negative, and neutral sentiments in tweets, and a recall of 0.83 or 83%, which describes the model's capability to find and classify accurately.
Analysis of Genetic Algorithms in Natural Language Processing

Abstract Natural language processing (NLP) has increased the interest in genetic algorithm (GA) due to their skills in solving complex optimization problems with extensive research on the use of genetic algorithms in NLP projects has been presented in this paper. First, we present the basic concepts behind genetic algorithms and their relevance to natural language processing. Then, we explore various applications of natural language processing (NLP) that use genetic algorithms, including text classification, sentiment analysis, machine translation, summarization, and question-answering systems. We examine the advantages and disadvantages of genetic algorithm applications in natural language processing by comparing their performance with traditional and modern approaches and discuss the factors influencing their effectiveness. Furthermore, we explore recent advancements, modifications, and hybridizations of Genetic Algorithms tailored to NLP tasks. Finally, we discuss the challenges and future directions in leveraging Genetic Algorithms for enhancing NLP technologies.
PERBANDINGAN ANALISIS SURVIVAL MENGGUNAKAN REGRESI COX PROPORTIONAL HAZARD DAN REGRESI WEIBULL PADA PASIEN COVID-19 DI RSUD TAMAN HUSADA BONTANG

COVID-19 is brought on by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) and transmitted to humans through animal. SARS-CoV-2 infection affects patient's metabolism and causes hyperinflammatory. This condition affects individuals with risk factors such as age, gender, diabetes, heart disease, hypertension, Chronic Obstructive Pulmonary Disease (COPD), obesity, and Acute Respiratory Distress Syndrome (ARDS). One approach to figuring out the association between the time of an occurrence and the independent factors is the Cox Proportional Hazard Regression. The Cox PH regression is a semiparametric model because it doesn’t require a specific distribution test. There is a parametric model used in modeling and analyzing failure time data, namely Weibull regression. The case study is patients with COVID-19 at Taman Husada Bontang Regional Public Hospital who underwent hospitalization from August 2021 to September 2021 data. Based on the Cox PH Regression and Weibull Regression models, variables that affect the survival time of COVID-19 patients are heart disease and ARDS. The AIC value obtained using the Cox Proportional Hazard regression is 635.6149, this value is smaller than the Weibull regression which is 745.5509 so the use of survival analysis with the Cox Proportional Hazard regression is better than the Weibull regression in this case.
The Effectiveness of Education Using WhatsApp About the Importance of Pregnancy Checks for Increasing the Knowledge of Pregnant Women in Karangsinom Village, Tirtamulya District, Karawang Regency in 2023

Background: Education via whatsapp about the importance of prenatal checks has been proven to increase pregnant women's knowledge. Through this platform, information about the benefits and importance of routine pregnancy checks can be conveyed easily by health workers and pregnant women in access to the WhatsApp application. Purpose of Writing: to find out the Effectiveness of Education Using WhatsApp About the Importance of Pregnancy Checks for Increasing Knowledge of Pregnant Women. Research Methods: Pre-experimental research with the type of one group pre test – post test design by means of a causal relationship by involving one group of subjects. the subject group was observed before the intervention was carried out and then observed after the intervention was carried out. The sampling technique is non-probability sampling with a purposive method. Research Results: This study obtained the results of the Wilcoxon statistical test, which obtained a sig. (0.000) &lt; 0.05, which means there is a difference in knowledge before and after education via whatsapp. It can be concluded that there is Effectiveness of Education with WhatsApp About the Importance of Pregnancy Checks for Increasing Knowledge of Pregnant Women in Karangsinom Village, Tirtamulya District, Karawang Regency in 2023. Conclusions and Suggestions: In providing education to pregnant women, midwives can collaborate with other health teams, in providing health education it can be added by using the WhatsApp application in the form of groups of pregnant women so that it is easy to provide health information for pregnant women in groups.
Sosialisasi dan Simulasi Mitigasi Bencana dan Pertolongan Pertama pada Gen-Z di Kota Jayapura

Natural disasters cannot be avoided. The provision that can be given is to provide training to all elements of society so that they have the ability to be able to face natural disasters. disaster mitigation and first aid that was held was to increase public awareness about the risk of natural disasters, increase public knowledge in dealing with disasters and increase knowledge about examples of disaster response simulations. The urgency of this activity is to equip generation Z (Gen-Z) in responding to disaster conditions. The partner in this activity is Basarnas with training participants are the community, students and students. Knowledge and techniques to save themselves and victims of natural disasters are important points for Gen-z to remain socialised and not always dependent on technology.
The Advantages and Challenges of Digital Resources as Supporting Learning Media in Teaching Narrative Writing Text

This research aims to investigate the advantages and challenges of digital resources as supporting learning media in teaching narrative writing text. This research used qualitative methods by using descriptive qualitative design. The data was obtained through document analysis, observation and interview. The subject of this research were two English teachers in Vocational High School Ibnu Khaldun at 10th Grade the academic years of 2022/2023 who implemented digital resources in teaching narrative writing text. The findings of this research show there are four advantages of digital resources. First, digital resources help English teachers in delivering material. Second, access a wider range of material and resources. Third, it can create fun and enjoyable classes. Fourth, improve the quality of learning by new activities. Furthermore, there are three challenges, First, limited internet connectivity. Second, choosing digital resources appropriately. Third, the lack of digital resources implemented by English teachers.
Development of Web-Based Student Registration Information System with Rapid Application Development Approach

The management of student data and the student registration process is an important aspect in the world of education. In the digital era, the use of information technology is crucial to maintain the quality and efficiency of education. Therefore, the development of a web-based student registration information system with a Rapid Application Development (RAD) approach is an efficient and effective solution. This research proposes the development of a web-based student enrolment information system with a RAD approach to improve efficiency, accessibility of student data, and the ability to adapt the system to continuous change. The RAD method consists of requirements planning stages, RAD design workshops, and implementation. The test results of the application show that this application is worth using and meets the expected standards. Thus, the development of a web-based student registration information system with the RAD approach is expected to provide innovative and efficient solutions in overcoming student data management problems and the student registration process
Some results on box dimension estimation of fractal continuous functions

FractalsAccepted Papers No AccessSome results on box dimension estimation of fractal continuous functionsHuai Yang, Lulu Ren, and Qian ZhengHuai Yang, Lulu Ren Search for more papers by this author , and Qian Zhenghttps://orcid.org/0000-0002-6661-2582 Search for more papers by this author https://doi.org/10.1142/S0218348X24500506Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Remember to check out the Most Cited Articles! Check out New & Notable Titles in Nonlinear ScienceIncludes authors Leon O Chua, Bruce J West and more " FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 30 October 2023 Accepted 2 February 2024 PDF download