Reviewerly/exHarmony huggingface dataset:
Development of E-Modin Persuasive Texts with Love the Environment Content for Grade VIII Students of SMPI Al Fattahiyyah Tulungagung

The purpose of this study was to compose e-modin persuasive texts with love for the environment for grade VIII students of junior high school. The specific purpose of this research is to examine to obtain objective descriptions and explanations about the needs of e-modin, the process of developing e-modin products, and the appropriateness of e-modin persuasive texts with love for the environment for class VIII students of SMPI Al Fattahiyyah Tulungagung integrated with verse al- the Qur’an and the hadith of the Prophet, so that besides achieving KD in persuasive text learning, students also have understanding, attitudes, and positive behavior in protecting the environment. The development procedure in this study is an adaptation of the development procedure (Borg &amp; Gall, 1989). The steps are (1) information gathering, (2) planning, (3) product development, (4) product trials, (5) product revisions. The subjects of this study were learning design experts, material/content experts, language experts, media experts, users (teachers), and users (students). The data collection instrument was in the form of assessment sheets which were assessed by learning design experts, material/content experts, language experts, media experts, users (teachers), and users (students). The results of this study are to examine the needs of e-modin, the process of developing e-modin products, and the appropriateness of e-modin persuasive texts with love for the environment for class VIII students of SMPI Al Fattahiyyah Tulungagung. The trial results showed that, first, namely the assessment of learning design experts, the results of the assessment were 92% in the “very feasible” category. The second, namely the assessment of material/content experts, obtained an assessment result of 94% in the “very feasible” category. The third, namely the assessment of linguists, obtained an assessment result of 92% in the “very decent” category. The four assessments of media experts obtained an assessment result of 92% in the “very decent” category. Apart from being assessed by experts, the product was also assessed by users, both teachers and students. The assessment carried out by teacher users is divided into three aspects, namely material/content aspects, linguistic aspects, and media aspects. The assessment of the material/content aspect obtained a result of 94% in the “very decent” category. Assessment of linguistic aspects obtained results of 93% in the “very decent” category. While the media aspect assessment obtained results of 98% in the “very decent” category. Next, the assessment of student users obtained an assessment result of 95% in the “very decent” category. With this acquisition, it can be categorized that e-modin persuasive text products with love for the environment content for Grade VIII students of junior high school are very appropriate to use in the learning process.
Implementasi Algoritma K-Means dan C-Means untuk Clustering Angka Kemiskinan

Poverty is one of the problems that must be faced by developing countries, including Indonesia and especially the province of West Java. This problem is exacerbated by the Covid-19 pandemic. Poverty can also have other consequences, such as increased crime and death. To facilitate government programs and support, it is necessary to group cities/districts according to the poverty level. The analysis was carried out using the K-Means and Fuzzy C-Means algorithms with the Silhouette method to obtain the optimal number of clusters using RStudio tools. The purpose of this study is to compare which algorithm is based on the Davis-Bouldin Index validation test. Three of the five data generated, the K-Means and C-Means algorithms give the same results. Only poverty data and education data give different results. Based on the results of the Davies-Bouldin Index validation test, the fuzzy c-means and k-means algorithms show that the k-means algorithm is better at clustering with an average of 4.084271. Meanwhile, fuzzy c-means has an average validation score of 4.111375. The smaller the Davies-Bouldin Index value or the closer to 0 shows how good the cluster is.
New Information Technologies in Improving the Population’s Information Culture

In today’s information society, increasing the population’s information culture as a way of developing society and civilization becomes very important. The reason is that global transformations are taking place practically in all spheres of activity in all developed, developing, and underdeveloped countries. This article aims to assess the state of information culture in society. Methodology. The method of statistical analysis helps to assess information technology skills according to the OECD classification. The investigation revealed mutual correlations between such indicators as basic critical, strategic thinking process skills and the ability to learn actively and solve complex problems. Results. At the beginning of the study, information technology and information skills are classified according to different characteristics: operational, formal, information, strategic, technical, and cognitive abilities in using technology. The article assessed the technical skills of the population, including the ability to use computer equipment. In addition, the research set system skills, which consist of the ability to make decisions and evaluate situations. Based on the analysis results using induction and deduction methods, comprehensive problem solutions are proposed. The totality of the obtained research allows understanding of the ability of the population to use technology, which affects the development of the society’s information culture. According to the study results, it is found that there is a lack of basic process skills in society. At the same time, system skills directly affect the ability to solve various needs. At the same time, there are enough technical skills that help even repair the equipment and solve simple technical problems. It is also determined that, in general, the working population has sufficiently developed critical thinking and can solve complex problems and comprehensively assess the situation.
Reversible data hiding with prediction error histogram decomposition and hybrid dimensional histogram modification

A reversible data hiding (RDH) method with prediction error histogram (PEH) decomposition and hybrid dimensional histogram modification is proposed. First, a global one-dimensional (1D) PEH is generated by pixel-based pixel value ordering predictor. The proposed method fully utilizes the pixels inside the range of the minimum and maximum of neighbors to decompose 1D-PEH into several sub 1D-PEHs. Then, each sub 1D-PEH is separated into two parts. The part with small-magnitude is used to construct a reduced two-dimensional (2D) PEH, whereas the rest is shifted for reversibility. Finally, data embedding is performed by modifying each reduced 2D-PEH to reduce distortion. Experimental results demonstrates that the proposed method outperforms some high-fidelity RDH methods.
PELATIHAN PUBLIC SPEAKING PADA SISWA - SISWI SMKN 1 KAYANGAN KABUPATEN LOMBOK UTARA

Public speaking skills training for students at SMKN 1 Kahyangan, North Lombok Regency. Community Service (PkM) is an effort by a service team to contribute science and technology to society and especially in this case with students. Based on this, the team submitted a proposal for PkM activities in state schools located in North Lombok Regency. The aim of this PkM is to provide basic skill training related to public speaking. This training is expected to provide provisions for students about the benefits of practicing public speaking and is also beneficial for the development of knowledge possessed by students and solving problems related to errors in speaking. The output target of this activity is that the trainees are equipped with public speaking and video recordings of students speaking in front of the camera.
The Effect of Picture Series in Writing Narrative Text on Students’ Writing Ability at the 10th Grade of Mazro’atul Lughoh Islamic Boarding School Pare Kediri

This study was pre-experimental research design with one experimental group only. The target population of this study was all the tenth grade students of Mazro’atul Lughoh Islamic Boarding School Pare in the period of 2021/2022. The researcher took 26 students as the sample of the study, by using saturated sampling, because the population is relatively small. To collect data, the researcher used written pre-test and post-test in essay format, and the written assessment by Anderson. In analyzing the data, the researcher used IBM SPSS statistic versions. 20 application of paired sample t.test to know the difference between pre-test (before treatment) and post-test (after treatment). After collecting and calculating the data, the researcher found that mean score and the standard deviation of pre-test were 7.46 and 1.838, while the mean score of post-test was 16.15 and standard deviation was 2.781. In testing hypothesis, the researcher used t-test formula. The researcher found that t value was -16.183, Sig (2-tailed) = 0.00 &lt; 0.05, at the level significance of df = 25. So, the null hypothesis was rejected and the alternative hypothesis could be accepted. It means that there was a significant difference between before and after given the treatment
The Effect of Using Flashcard Media on Students’ Vocabulary Mastery at the 7th Grade of MTs Zainul Hasan Sambirejo, Pare, Kediri

This study aims to know the effect of using flashcard media on students’ vocabulary mastery at the 7th Grade of MTs Zainul Hasan Sambirejo, Pare. Design used was pre experimental research pre-test post-test one group only. Sample taken was 32 from 82 population by using simple random sampling. To collect the data, the researcher used vocabulary written test with 25 items in multiple-choice format. In analyzing data, she used IBM SPSS statistic versions. 25 application of paired-sample t.test. It aims to know whether there is or not a significant difference between before given the treatment and after given the treatment using flashcard media on students’ vocabulary mastery. After collecting and calculating data, she found that mean of pre-Test 72.06, mean of post-Test 91.38, median of pre-test 82, median of post-test 96, mode of pre-test 84 and mode of post-test 100. In testing the hypothesis, she used t-test formula. She found that p value Sig (2-tailed)= 0.000 &lt; 0.05, at the level significance of df = 31. So, the null hypothesis was rejected and the alternative hypothesis could be accepted. It means that using flashcard media affects students’ vocabulary mastery at the 7th Grade of MTs Zainul Hasan Sambirejo, Pare, Kediri
Lithostratigraphy and geological evolution of Triassic rocks in the Palmyride Basin in Syria

The purpose of the research. This research aims to study the lithostratigraphy and geologic evolution of the Kurrachine Dolomite Formation in the middle Triassic along the Palmyrian Belt Zone in Syria. Studying this formation in its northern and southern parts has shown that it consists of two lithostratigraphic members, where each of them includes a series of lithological units. The petrographical study of the components of these units shows that they are composed of four distinguished components: dolomitic limestones, clayey limestones, clay and anhydrites, pure or mixed and deposited in repeated harmonic layers, gathered mostly in neutral sedimentary sequences. The relevance of the research. This scientific research can provide information about the sedimentary evolution and stratigraphic succession of the region and its historical development. In addition, it can provide insight into the relationships between different sedimentary layers, and mineral resources available in the basin and their potential for exploitation. This research can also lead to a better understanding of the ancient environment in the region. Research methodology. Data was collected from a range of sources, including geological maps and cross-sections, drill core log data from nine gas wells in the field, field observations, and published research. The study area was divided into different lithostratigraphic units, and the geology of each was studied in detail. Attention was paid to the lithology, hydrocarbon content, structural features and other features of each unit. The data collected was then used to construct a geological history of the region, including its tectonic, sedimentary, and paleogeographic evolution. This information was then used to make inferences about the regional stratigraphic framework, as well as to make predictions about future geological evolution. Results and conclusions. This article focuses on the lithostratigraphy, as well as the geological evolution, of Triassic rocks, specifically the Kurrachine Dolomite Formation in the Northeastern Palmyride Basin of Syria. Laboratory studies were conducted to explore the lithology and sedimentary facies of the formation. Results show that the Kurrachine Dolomite Formation is dominated by deposits of a limited lithological nature. It is limited to calcareous, limestone, dolomitic limestones, dolomite, shale, and clay rocks, with limited intrusions of anhydrite in the upper part. The sedimentary environment of the formation is interpreted as shallow-marine. All analysis reveals that the Kurrachine Dolomite Formation is mainly composed of Middle Triassic deposits. This indicates a change in the sedimentation dynamics in the Palmyride Basin during the Middle Triassic. The results of the study provide a better understanding of the geological evolution of the Palmyride Basin in Syria.
PERBANDINGAN KEBERFUNGSIAN DISTRAKTOR DALAM TES: PENDEKATAN TEORI TES KLASIK DAN MODERN DALAM KONTEKS PENDIDIKAN SEKOLAH DASAR

This study aims to examine the characteristics of formative test items in elementary schools by comparing the functionality of distractors based on classical and modern test theories. This research is a quantitative descriptive study. The data collection technique used in this study was documentation. The results of the analysis indicate that out of 25 test items, 16% were easy, 72% were moderate, and 12% were difficult, with 3 items not fitting. The measurement results using modern test theory showed that 60% of the distractors were not functioning effectively, and 24% of the items needed to have their answer keys checked, while the measurement using classical test theory showed that 56% of the distractors were not functioning effectively, and 12% of the items needed to have their answer keys checked. Less effective distractors indicate that they are selected more frequently by high-ability groups than low-ability groups. In this context, compared to classical test theory, modern Rasch model is capable of providing more complex results and detecting a greater number of ineffectively functioning distractors. However, in its implementation, the modern Rasch model is more challenging than classical test theory.
EETSQ: Energy Efficient Task Scheduling based on QoS Parameters in Cloud Computing Environment

Now a day, energy consumption is the big challenge in heterogeneous cloud computing environment that needs to be considered. Cloud service provider also needs to satisfy customer’s Quality of Service (QoS) for better utilization. An energy efficient task scheduling based on QoS parameter has been proposed to address above said challenge. Firsty, all the incoming tasks are categorized into four classes based on some special attributes and prioritize according to importance of the classes. Secondly, Physical Machines (PMs) type confirmation list is selected based on the number of resource blocks and then select one PM that has maximum QoS value. All the Virtual Machines (VMs) on selected PM are prioritized according to their weight. Experimental evaluation done on CloudSim shows the effectiveness and efficiency of proposed approach.
Optimized Visual Internet of Things in Video Processing for Video Streaming

The global expansion of the Visual Internet of Things (VIoT) has enabled various new applications during the last decade through the interconnection of a wide range of devices and sensors.Frame freezing and buffering are the major artefacts in broad area of multimedia networking applications occurring due to significant packet loss and network congestion. Numerous studies have been carried out in order to understand the impact of packet loss on QoE for a wide range of applications. This paper improves the video streaming quality by using the proposed framework Lossy Video Transmission (LVT) for simulating the effect of network congestion on the performance of encrypted static images sent over wireless sensor networks.The simulations are intended for analysing video quality and determining packet drop resilience during video conversations.The assessment of emerging trends in quality measurement, including picture preference, visual attention, and audio visual quality is checked. To appropriately quantify the video quality loss caused by the encoding system, various encoders compress video sequences at various data rates.Simulation results for different QoE metrics with respect to user developed videos have been demonstrated which outperforms the existing metrics.
Aspect-Based Sentiment Analysis using Machine Learning and Deep Learning Approaches

Sentiment analysis (SA) is also known as opinion mining, it is the process of gathering and analyzing people's opinions about a particular service, good, or company on websites like Twitter, Facebook, Instagram, LinkedIn, and blogs, among other places. This article covers a thorough analysis of SA and its levels. This manuscript's main focus is on aspect-based SA, which helps manufacturing organizations make better decisions by examining consumers' viewpoints and opinions of their products. The many approaches and methods used in aspect-based sentiment analysis are covered in this review study (ABSA). The features associated with the aspects were manually drawn out in traditional methods, which made it a time-consuming and error-prone operation. Nevertheless, these restrictions may be overcome as artificial intelligence develops. Therefore, to increase the effectiveness of ABSA, researchers are increasingly using AI-based machine learning (ML) and deep learning (DL) techniques. Additionally, certain recently released ABSA approaches based on ML and DL are examined, contrasted, and based on this research, gaps in both methodologies are discovered. At the conclusion of this study, the difficulties that current ABSA models encounter are also emphasized, along with suggestions that can be made to improve the efficacy and precision of ABSA systems.
MBA: Market Basket Analysis Using Frequent Pattern Mining Techniques

This Market Basket Analysis (MBA) is a data mining technique that uses frequent pattern mining algorithms to discover patterns of co-occurrence among items that are frequently purchased together. It is commonly used in retail and e-commerce businesses to generate association rules that describe the relationships between different items, and to make recommendations to customers based on their previous purchases. MBA is a powerful tool for identifying patterns of co-occurrence and generating insights that can improve sales and marketing strategies. Although a numerous works has been carried out to handle the computational cost for discovering the frequent itemsets, but it still needs more exploration and developments. In this paper, we introduce an efficient Bitwise-Based data structure technique for mining frequent pattern in large-scale databases. The algorithm scans the original database once, using the Bitwise-Based data representations as well as vertical database layout, compared to the well-known Apriori and FP-Growth algorithm. Bitwise-Based technique enhance the problems of multiple passes over the original database, hence, minimizes the execution time. Extensive experiments have been carried out to validate our technique, which outperform Apriori, Éclat, FP-growth, and H-mine in terms of execution time for Market Basket Analysis.
Las TIC y educación socioemocional en el fortalecimiento de competencias en educación media superior

The purpose of this research is to demonstrate the action-research process that a teaching intervention master degree student has been developed during the COVID-19 contigency. It means during the virtual modality in a group of high school third grade students. The issues detected were the feelings, isolation, frustration, boredom, anxiety, and stress. Getting negative actions such as hopelessness, anxiety, depression, panic, rage and anger. Based on these arguments, a didactic planning was designed adding technological resources for being used at time socioemotional education. As well as teaching strategies to enrich virtual classes through participation for improving academic performance. This has allowed to evaluate the progress and identify areas to get better in Teaching as professionalization, crutial to start a new cycle planning, implementation and evaluation. The action-research process that has been developed and has been helpful in order to get a better teaching practice and to design greats oriented planning perspective to solve problems and inhance students learning.
PENINGKATAN LITERASI BACA DENGAN SIMAK BACA PAGI SISWA KELAS III DI SEKOLAH DASAR NEGERI MUNGUP

ABTRACTThis study aims to determine literacy strategies in increasing students' interest in reading, as well as the supporting and inhibiting factors. In addition, it also aims to determine the role of literacy, obstacles and efforts made in schools in increasing students' interest in reading in elementary schools. The method used is the technique of data collection in the form of data collection techniques, interview techniques, and document or documentation study techniques. The results of this study indicate that increasing reading literacy by listening to reading for third grade students of SD Negeri Mungup is carried out in various ways so that students can enjoy reading more. One of the efforts made is by carrying out literacy habits by listening to reading in the morning 15 minutes before learning begins and creating a reading corner in the corner of the classroom. After the implementation of these efforts then carried out data checking. The results of these data show that most of the Mungup Public Elementary School students are interested in reading both story books and textbooks. Literacy activities need to be habituated and also with the approval of parents. There are morning reading activities carried out by the teacher as a guide for students who take turns reading books for 15 minutes before learning begins with reading books such as story books or textbooks in the class reading corner. This teaches students to love or like to do reading activities.Keywords: Literacy, Interest in reading, Elementary School, Students
Design Model for Children's Communication Problem in Healthcare based on Systems

The seven years cooperation project between College of Design and Innovation, Tongji University and Shanghai Children's Medical Center, to create a children's medical franchise brand and related application services. Base on Richard Buchanan’s theory, this paper researches the Systems from the perspective of intersection of communication and design. We attempted to develop a new design model of an communication system for children patients, the parents and the doctors. Therefore, We summarize the problem of communicating information in medical care as a systemic problem. How the complexity of problems in information communication can be solved orderly and harmoniously so that a better experience can be served for children patients will be the subject of this paper.