Reviewerly/exHarmony huggingface dataset:
The effect of comic strip media on third-grade students’ writing story essay

This study aims to determine the effect of comic strip media on the ability to write stories for third-grade students at a private Islamic school in Porong. This research uses quantitative research. sampling with non-probability techniques to obtain 1 class, namely class III, following the data taken by the researchers. The data collection technique used the test method to find out the results of writing essays using a pre-test and post-test to find out how much influence the use of comic strip media had on the ability to write essays. In this study, the pre-experimental design was used with the one-group pretest-posttest design. The population that became the object of this research was 20 third-grade students of a private Islamic school in Porong. Based on data analysis using the N-Gain formula, it shows that the average result of the pre-test is 67.7, and the average result of the post-test score is 85.55. Based on data processing from the Eta Squared test, it was 0.871 in the pre-test and 0.882 in the post-test. If t 0.14 indicates that this comic strip medium has a significant influence, the results of the paired sample pre-test sig. (2-tailed) in the study are.000, then the decision-making is following the t-test. If the value of sig. (2-tailed) is below 0.05, then there is an increase or a very significant effect on the research variables. Therefore, it can be concluded that the use of comic strip media on the ability to write stories by third-grade students greatly affects their writing ability of students.
Enhancing Digital Literacy for Ustadz/Ustadzah in Modern Islamic Boarding Schools at Banten Province through Sustainable Media Integration

Mastery of digital literacy is one of skills that must be possessed by modern humans in order to compete in the 21st century. However, the use of digital literacy as learning media and information acquisition has not been utilized optimally, included in the three fostered modern Islamic boarding schools (hereinafter pesantren). Therefore, this community service activity has main objective, namely to provide training for ustadz/ustadzah council in designing digital literacy programs that can be integrated in the learning process sustainably. To achieve the objective, this program used Community Based Participatory Research method by involving various parties such as residents of pesantren (kiai, ustadz/ustadzah, librarian and santri), community representatives (literacy activists), and lecturers (universities). Finally, this program has positive implications. This is reflected in: (1) the integration of digital literacy media into the learning process sustainably; (2) the development of a literacy culture; (3) the realization of a literate pesantren environment.
Regular Language Encryption for Secured Storage of Cloud Data in Smart Home-Based Cities

The smart city is an evolution of a smart home. According to a report by ABI Research, almost 300 million smart homes have been installed around the world by 2022. The smart sensors of separate homes, various organizations are connected to make a city smart. The regular language encryption is privacy ensuring and at the same time proves to be secured against the keyword guessing attack (KGA). The authors propose a model in which they regulate the way the user wants to search and return results. They also provide privacy to the outsourced data by encrypting the content before being outsourced to the database server. The entire module is controlled by keyword generation center (KGC), which is responsible for approving the owners for uploading the files to the cloud server and the users for downloading the files from the same. In this work, the authors introduce a model to behave in a way where the approved user has the entire control over his data and also has the role of granting permission to the user who requests access for the particular data.
Peningkatan Keterampilan Berbicara Siswa Kelas X SMK Negeri 1 Bunga Mayang Kabupaten Oku Timur dalam Pembelajaran Daring (Online) Berbasis E Learning dengan Media Digital Storytelling

The research entitled improving the speaking skills of class X students at SMK Negeri 1 Bungan Mayang, east OKU regency in online learning (online) based on e learning with digital storytelling media which aims to describe the application of storytelling on aspects og speaking skills in each cycle of learning Indonesia for class X students of SMK Negeri 1 east OKU Bunga Mayang. This research is an action research to improve student learning outcomes and improve the learning process in the classroom. The results showed learning outcomes in terms of knowledge, ini increasing learning in each learning cycle there was an increase in students mastery and absorption, namely completeness in cycle I 70.58%, absorption capacity 52.35%, and cycle II 70.58%, completeness level 88.23%, and absorption rate of 76.76%. Similarly the skill aspect increased in the first cycle 76.47% completeness and 55.88% absorption. In the second cycle it increased again 88.23% completeness and 77.35% absorption. Then, learning outcomes increased during learning in class X TKJ SMK Negeri 1 Bunga Mayang OKU Timur, students speaking skills developed from cycle I to cycle II as well as skills in cycle I reached 76.47% and increased to 77.35%.
Improving Student’s Writing Skill through Mind Mapping

This research was aimed to improve students’ writing skill through mind mapping at the seventh grade of MTs Negeri 2 Bandar Lampung. The subject of this research consisted of thirty which consisted of 11 males and 19 females. This research was conducted by using classroom action research. Kemmis and Taggart stated about the model of action research it consisted of two cycles. Each cycle consisted of four steps; planning, action, observing, and reflecting. The writer did pre-cycle before going to cycle 1, the pre-cycle was conducted to know the students’ writing skill and the student difficulties in writing. In this research, the writer collaborated with the English teacher at the seventh (VII A) grade of MTs Negeri 2 Bandar Lampung to carry out the data of the students. At this research the writer was focused to improve the students’ learning activities and the students’ writing skill.&#x0D; The students’ improvement in learning activities it could be seen from the average score of students’ learning activities of cycle 1 were 7.16 with the criteria quite active, while in the second cycle that 7.87 was active. So, during the cycle 1 and the cycle 2 there were improvement of students’ learning activity, which got 0.71 point. Meanwhile in the students’ writing ability, the improvement could be seen from the average score of pre-cycle was 64.03 there were 17 students that passed the Minimum Mastery Criterion. Then the average score of first cycle was 69.03, there were 20 students or 66.66% who passed the Minimum Mastery Criterion and the average score of second cycle was 78.36 there were 25 students who passed the Minimum Mastery Criterion or 83.33%. Based on the result of analyzing the data it could be concluded that the Classroom Action Research through mind mapping can improve students’ learning activities and the students’ writing ability.
Modeling of hydrogeological processes in irrigation areas based on modern programs

This article uses modern modeling systems to assess the impact of intensive irrigation on the state of groundwater and the rocks of the aeration zone. In doing so, existing ideas about aquifer recharge, flow, consumption, and changes in groundwater quality were considered, studying these areas' hydrogeological and reclamation hydrogeological conditions. Groundwater balance analysis was performed based on the results of solving the inverse non-stationary problem for total groundwater deposits. The correspondence of underground water at control points during this period (results of regular observations of Kashkadarya GGS) and underground water seeping into the collector-drainage network in natural and model conditions was observed. According to the research results, renewable (flowing) underground water reserves in the general balance are 15671-2476 = 13195 m 3 /day, while the indicators of consumption and saturation of underground water reserves are equal to 2476 and 8915 m 3 /day. It was proved based on the results obtained with sample solutions to the problem, taking into account the rise or fall of the level of underground water in different parts. The article determined that the accumulation of underground water reserves in the region is mainly due to the increase of infiltration in newly developed lands. At the beginning and end of the modeling period, the depth of the groundwater table was shown using maps and marked with numbers.
Analyzing the Text Contents Produced by ChatGPT: Prompts, Feature-Components in Responses, and a Predictive Model

ChatGPT is a large language model that uses deep learning to produce natural language and generate intelligent and relevant responses to user prompts. It comes to the field of education as an inevitable wave. Educators have to deal with it and figure out appropriate ways to use it and produce positive learning. This study explores the use of ChatGPT from the perspective of front-end users, focusing on the text-content that ChatGPT can produce for learners to learn new knowledge (e.g., a concept, a theory, or an application). The sample of this study consists of 253 ChatGPT text responses derived from three types of initial prompts/questions: general questions, specific questions, and questions with interactive prompts. Six feature components of text-information that can help learners to understand new knowledge are analyzed (concept and definition, procedure, example, comparison or contrast, deductive or inductive argument, summary). The results from Chi-square tests indicate that the presence of each feature component in the responses differs by the types of prompts. The results from a logistic regression analysis reveal that the presence of five (out of the six) feature components are significant to the probability that a response providing accurate and reliable information. The integration of using ChatGPT into learning is discussed. Further research questions are suggested.
The Future of Blockchain Technology

Currently, blockchain technology is most commonly associated with digital currencies such as Bitcoin and Ethereum. However, the underlying technology of blockchain has the potential to be applied in a wide range of industries and systems. The decentralization of blockchain technology provides increased transparency and security in various processes, which makes it a suitable technology for real-world usages such as supply chain management, digital identity, and voting systems.
THE EFFECT OF ACCELERATED LEARNING MODEL ON MOTIVATION AND MATHEMATICS LEARNING OUTCOMES OF STUDENTS OF CLASS VII MTsN 1 PASAMAN BARAT

This research is motivated by the problems found in class VII MTsN 1 Pasaman Barat that students' motivation is low in learning, and student learning outcomes are still below the KKM.This study aims to determine whether the Accelerated Learning learning model has an effect on student motivation and learning outcomes in class VII MTsN 1 Pasaman Barat in the 2021/2022 school year. This research is a type of pre-experimental research with the research design of The Static Group Comparison Design. The results showed that the students' motivation to learn mathematics was processed using the t-test at a significant level = 0.05, the t-count t-table value was 1.68 and using Minitab software the P-Value = 0.020 = 0.05 so that H0 was rejected. and H1 is accepted. So, it can be concluded that the Accelerated Learning learning model has a significant effect on the learning motivation of class VII MTsN 1 Pasaman Barat students in the 2021/2022 academic year. Students' mathematics learning outcomes were processed using the t-test at a real level = 0.05, the value of tcount ttable was 1.68 and from Minitab Software calculations obtained P-Value = 0.010 = 0.05 so that H0 was rejected and H1 was accepted. So, it can be concluded that the Accelerated Learning learning model has a significant effect on the learning outcomes of class VII MTsN 1 Pasaman Barat students in the 2021/2022 academic year.
Prediksi Kualitas Udara Suspended Particulate Matter dengan Algoritma Backpropagation

Suspended Particulate Matter (SPM) is particulate dust emitted from several activities such as transportation and industrial factory areas, one of which is PM10. Currently particulates as one of the causes of air pollution are quite a concern in various countries which have an impact on human health. suspended particulate matter stays in the air and does not easily settle and float in the air, on average around 50% - 60% of the suspended particles are 10µm or PM10 in diameter dust so it is very easy to inhale and enter the lungs. So that this research was appointed to predict the concentration of suspended particulate matter using the Backpropagation Algorithm. In this study, three artificial neural network models were built, each of which has a different level of accuracy, the Backpropagation network architecture that produces the highest accuracy value is by using a network scheme of 3 input layers, 20 hidden layers and 1 output layer with a learning rate. 0.8, the target error is 0.001 and the number of epochs is 10,000, the predicted results of the suspended particulate matter concentration obtained using this model can be said to be good because it produces an MSE value of 0.037 with an accuracy rate of 95.526 %.
Rancang Bangun Sistem Prediksi Kebutuhan Bahan Makanan Berbasis Web

Abstract Prediction of food supplies is an activity of estimating the stock of foodstuffs that will be sold at a certain time, the supply of foodstuffs is determined by the estimation of future needs so that the seller can make the appropriate provision. When sales are predicted accurately, the fulfillment of consumer needs can be managed on time, the seller's cooperation with the relationship is maintained properly, customer satisfaction is met, the seller can overcome the loss of shortages or out of stock, prevent food ingredients from becoming damaged or stale. On the other hand, the seller can determine policy decisions on production plans, inventory, asset investment and cash flow. In other words, no salesperson can avoid estimating or forecasting sales for the purposes of planning the activities that must be carried out. Based on research conducted through application development in the form of a website displaying the results of sales of raw food ingredients based on time series data, the accuracy results obtained with an accuracy rate of 80% and through a black box evaluation it was found that the application has been running very well with a high level of respondents. shows a true value of 90% in the application that has been made.&#x0D; Keyword : forecasting, time series, web application, sales, raw food ingredients.
Verification of knowledge through ICT

This article analyzes the ways in which the knowledge obtained by students can be tested in the conditions when teaching-learning takes place online (distance). The emphasis is on the complex assessment of knowledge in the discipline. A test variant in mathematics is proposed for the online exam for student-economists.
INKUBATOR PEMELIHARAAN ANAK AYAM MENGGUNAKAN SENSOR SUHU DAN TENAGA SURYA BERBASIS IOT

The development of free-range chickens has several obstacles, including low productivity, small scale, the way to overcome the limitations of free-range chickens is to apply a separate breeding process from the parent by means of an incubator. The goal in the incubator is to produce more chicks. This study aims to provide convenience for farmers. Because this automation tool can make it easier for farmers to maintain and care for chicks, because basically chick incubators do require special maintenance and the use of IoT in the electronics world has been very much and is still growing. The use of IoT has penetrated almost all human activities such as livestock, agriculture, fisheries and various household appliances. The function of IoT itself in these fields is to simplify human work, monitor various equipment remotely and increase the effectiveness of the tool. So the pins took the title Chicken Care Incubator Using Temperature Sensors And Solar Power Based On Iot using NodeMCU microcontrollers, temperature sensors, voltage sensors, batteries, solar panels, relays, lights. The method used for research is Research and Development (R&amp;D). The researcher used the XAMPP application and opened a web page to find out the system in the chick rearing incubator automatically values ​​the battery voltage, temperature, lights on and off and time. The results of the design of the chick rearing incubator are automatically successful with a percentage of 100%. The results of the validator test are 87.5% and chicken breeders are 96.25%.
Comparative Study of Android Native vs Cross-Platform Mobile Application Development

Abstract: This paper provides a comprehensive comparison between two prominent approaches to Android app development: native and cross-platform. It thoroughly analyzes various aspects relevant to enterprise and general mobile application development. The study examines project size, developer work comfort, popularity, performance, and documentation. Regarding project size, both native and cross-platform approaches are evaluated to determine their suitability for small to large-scale projects. The study also delves into developers' work comfort, investigating the ease of use and convenience associated with each approach. Popularity and adoption rates among developers are analyzed to understand the industry's prevailing trends. Moreover, the research examines the performance capabilities of both approaches, considering factors like speed and responsiveness. Lastly, the availability and comprehensiveness of documentation for each tech stack are assessed. After analyzing the paper, readers can gain a clear overview of the strengths and weaknesses of native and cross-platform development. This enables them to make informed decisions on which tech stack to learn and use when building Android applications, whether it's for enterprise purposes or to simply pursue mobile application development skills in general.
Application of Blockchain in HealthCare: Overview

Abstract: Blockchain technology, known for its decentralized and tamper-proof ledgers ensuring data security, has significant attention for its potential to revolutionize the healthcare sector. This paper explores the various applications, benefits, and significant challenges associated with integrating blockchain in healthcare. By enabling seamless data sharing and enhancing interoperability among diverse healthcare providers and systems, this transformative technology lays the foundation for substantial enhancements in patient care and overall healthcare efficiency. One of the key advantages lies in empowering patients by granting them greater control over their health data with informed consent, while fostering unwavering accountability and trust in healthcare transactions through blockchain's transparency. Valuable applications include accelerated clinical research and prevention of counterfeit drugs. However, successful implementation requires addressing scalability, integration, regulatory compliance, and education hurdles through collaborative efforts. In conclusion, blockchain's potential lies in creating a secure, patient-centric, and efficient healthcare ecosystem, ensuring the integrity of medical records and unlocking new possibilities for personalized medicine and data-driven treatment approaches
Kajian Analisis Struktur Bahasa Tingkat Dasar pada Slogan Reklame di Kabupaten Rejang Lebong

Advertising sentences are written in good language, easy to understand and with the right language structure. The purpose of this study was to determine how the use of language structure in writing in advertisements and forms of typos in the Indonesian Spelling Guidelines (PUEBI) contained in these advertisements. This type of research is field research with a descriptive qualitative approach (Field Research), data collection is carried out through observation, documentation and recording methods, the results of the study reveal that the use of language structures on billboards and typos is: (1) 4 language structures The billboards encountered by the author are evocative, informative, persuasive and effective. Where the use of evocative language reached 18.9%, informative 61.1%, persuasive 15.6% and kinetic energy 4.4%. Although there are errors in the use of punctuation marks such as commas, (,) and letters.
Tecnologias Digitais da Informação e Comunicação na Preservação da Memória e da Identidade Cultural de Comunidades Tradicionais

The present paper aimsto identify the use of Digital Technologies of Information and Communication –DTIC in the preservation of memory and cultural identity of traditional communities in the scientific productions of Information Science in Brazil. The methodology adopted is the Systematic Literature Review with qualitative approach, in which therewere researched journals indexed by the Reference Database of Journal Articles in Information Science (BRAPCI) published from 2016 to 2021. Therewere analyzed the journals which presented in the title, abstract and/or keywords themes about preservation of memory/identity related to the use of the DTIC/TIC and the traditional peoplesand communities of Brazil. The results point that therewere recovered few papersthat aretotally related to the preservation of memory, traditional communities and the use of DTIC/TIC. However, it was possible to note that the DTIC have been used with the purpose of preservation of memory in several contexts. Moreover, despite of the preservation of memory and cultural identity, the used DTIC still haveas a purpose the dissemination and visibility of these peoples, in order to require the due respect and the full exercise of their citizenship fromthe State and the Society.
O comportamento de autocitação uma análise de Birger Hjørland e suas dimensões na Ciência da Informação

Considering the importance of Birger Hjørland for InformationScience (IS), mainly in Knowledge Organization (KO) and related topics, this study aimed to analyze the self-citation behavior of Birger Hjørland, one of the main researchers in Domain Analysis (DA). The research universe was composed of the researcher's documents that were indexed in the Scopus database;89 articles were retrieved. To help with the choice and filtering of materials, the Law of Elitism was used, so 10 documents with 1,036 bibliographical references and 1,986 citations were analyzed. As a result, it was noted that there is a presence of synchronic and diachronic self-citation in all analyzed articles, however, most of the self-citations are in accordance with acceptable standards, not configuring an egocentric behavior by the author. In short, there are still countless questions to be explored in Hjørland's research, especially for researchers who work in the field of bibliometric studies of information.