Reviewerly/exHarmony huggingface dataset:
Studi Literatur Pengembangan Instrumen Tes Literasi Ekonomi Berbasis Faktor Analisis dengan Teknik Meta Analisis

The purpose of this study was to determine the literacy of the Development of Economic Literacy Test Instruments Based on Factor Analysis with the Meta-Analysis Technique. The research methodology uses a systematic literature review on the development of an economic literacy test instrument based on factor analysis and its impact on students' critical thinking skills. PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) and Bibliometric analysis have been applied to answer research questions. The PRISMA method was used to shortlist and select the 2007-2021 works from Scopus and Google Scholar with explicit inclusion and exclusion criteria. The research results show that research results from 2007 to 2021 experienced a significant increase, especially in 2014 with a total of 4 journal publications. Conclusion regarding the development of economic literacy test instruments dominated by journal articles as much as 80% and seminars as much as 20%. The keywords regarding the development of economic literacy test instruments that are most often used by searchers are development, financial literacy, and validation.
The Effect Of Pictionary Game Toward Student’s Vocabulary Mastery In Mental Lexicon

The purpose of this study was to determine whether is pictionary game can impove the student’s vocabulary mastery. This study use quantitative research. The population of this study was seventh grade students of SMPN 1 Pinrang. The total population is 38 students consisting of 2 classes. Class VII1 and VII2 was taken as a sample using random sampling techniques, the total number of samples was 19. The instruments used in this study were vocabulary tests. The results of this study indicate that the pre-test got an average score (41.57) while the post-test got an average score (75.26). This shows that there is a significant difference between the pre-test and post-test. The p-value (0,000) is lower than the significant level (alpha (α) = 0.05). This means H1 is accepted. This study concluded that vocabulary teaching using the four-card game improved students' ability to master vocabulary mastery in seventh grade students of SMPN 1 Pinrang.
The Use Of Reciprocal Teaching Procedure In Teaching Recount Text To Improve Students Reading Comprehension

The objective of this research were to find out: To find out whether or not the Effectiveness of reciprocal teaching prosedure toward Student reading Skills at the eight grade students of SMP Negeri 3 Dua Pitue Kalosi This research employed mixed method reciprocal teaching which is designed to focus students’ attention on four reading comprehension strategies: clarifying what was read, asking questions, predicting what might follow and summarizing the information with used clusster sampling. The population of this research is the eight grade; exactly the eight grade student of SMP Negeri 3 Dua Pitue Kalosi. The total number of population is class VIII.A=28 and class VIII.B=27 students. The samples in this research is from VIII.B consist 27 students.The data of the research were collected by using teks reading multiple choice. reading test was used to obtain data of the students’ reading comprehension. The result of data analysis showed that two was significant difference between the students’ score after they were taught by using reciprocal teaching and before they were taught by using reciprocal teaching. It was proved by the mean score of the post-test which was higher than the mean score of pre-test (67,51&gt;24,40). Furthermore, the result of the t-test lower that α (0,00&lt;0,05). Based on data analysis, the research concluded that: the used of Reciprocal Teaching improved students’ reading comprehension;
Improving Reading Comprehension Through Cooperative Integrate Reading And Compotition (Circ) Method

The purposed of this study was to determine whether the use of CIRC method can improved the achievement of Eight grade students SMP N 2 Baranti students in reading comprehension and whether students are interested of this method. This study used a mixed research method that is a combination of qualitative research and quantitative research. The population of this study was eight grade students of SMP N 2 Baranti in the 2019-2020 academic year. The total population is 101 students consisting of 4 classes. Class VIIa was taken as a sample using cluster sampling techniques, the total number of samples was 24. The instruments used in this study were reading tests and interest questionnaire The results of this study indicated that the pre-test got an average score (57.91) while the post-test got an average score (75.91). This shows that there is a significant difference between the pre-test and post-test. The p-value (0,000) is lower than the significant level (alpha (α) = 0.05). This means H1 is accepted. This study concluded that teaching reading comprehension using the CIRC method improved students' achievement to master in reading comprehension in eight grade students of SMP N 2 Baranti. And based on the results of an interest questionnaire list, 22 students (92%) liked and were enough interest in using CIRC method in reading comprehension.
The Implementation Of Semantic Mapping To Improve Students Vocabulary Mastery

The objective of the research was to find out whether or not semantic mapping can improve the ability of the students of SMP Negeri 2 Kulo in vocabulary. This research employed the method of the research was pre experimental method design. The population was the second year students of SMP Negeri 2 Kuloin 2018-2019 academic years. Total number of population was 20 students and one class was taken as sample (VIII.1) by using clustersampling technique, total munber of sample was 20. The instrument used in this research was to vocabulary test. The result of this research showed that in pre-test the mean score (43.15) is lower than post-test (58.50). It proved that there was significant improvement of students’ vocabualry using semantic mapping. The result of the P-value (0.000) was lower than level of significant (alpha (α)=0.05). This means that H1 was accepted. The researcher concluded that teaching vocabulary mastery by using SEMANTIC MAPPING improved the students’ vocabulary mastery at SMP Negeri 2 Kulo.
Building Story Games Toward Student’s Speaking Ability

The researcher took pre-experimental method with one group pre-test and post-test design. The population of this research was the eighth grade students in academic year 2018/2019. There were 86 students spread in 3 classes (VIII Expert, VIII Excellent 1, and VIII Excellent 2) and each class consist appropriately 26-31 students. VIII Expert class was taken as the sample and the total of samples is 26 students. The data of the research was collected by using speaking test. The result of data analysis showed that there was significant difference between the students’ score after they were taught by the using building story games and before they were taught by the using building story games. It was proved by the mean score of the post-test which was higher than the mean score of pre-test (73.88&gt;63.43). Furthermore, the result of the p-value was lower than α (0.000&lt;0.05) which means that H0 was rejected and H1 was accepted. Based on data analysis, the research concluded that there is the use of building story games toward student’s speaking ability.
ANALYZE ERRORS WHEN USING PERSONAL PRONOUNS FLUENTLY IN THE FIRST SEMESTER OF THE ENGLISH DEPARTMENT

English learners not only need to be aware of the present and future but also need to be aware of the difficulties and problems they encounter in the process of learning English. Especially in the use of parts of speech, called pronouns. The purpose of this study is to collect and analyze the errors made by students in the form of markers, to serve as a reference for the mastery of pronouns in which the teaching and learning methods necessary to achieve The expected target in the document will be added to the grammar itself. This study was conducted in 2015 in the UMTS teaching and education department of 38 students. Data can be obtained from grammar placement tests and student interviews. Even if students are at an intermediate level of English, participating in grammar lessons is necessary. The research findings suggest that there is a place in language, especially in discussions of personal pronouns, that is certainly worth highlighting. Students' errors and comments about their problems are very useful signs or important diagnoses. The use of data is that as long as the information has a direct connection to the student, the professor can build a plan that allows the student to expand their knowledge and can help them become more confident in professional communication. Karma. It is very important and helpful to benefit from an English education major, as it is an extraordinary source of motivation for students
SISTEM MANAJEMEN DAN REMINDER OTOMATIS JADWAL PEMBAYARAN TAGIHAN BERBASIS ANDROID PADA CV ARIYA DVC COMPUTER MALANG

CV Ariya DVC Computer is a company engaged in the field of computer services and sales. Constraints on CV Ariya DVC Computer is the application which used for managing payments to suppliers on a monthly basis, has some weaknesses, such as page access speed, neatness of appearance, and the ease of current application usage on mobile devices, so that Android-based systems is needed, which can help the effectiveness and efficiency of performance in the company. The purpose of this study is the establishment of a management system and automatic payment schedule reminders using Android that can solve problems from previous web-based applications in terms of page access speed, appearance neatness, and ease of application usage. This study implements the system using Ionic framework, then uses the REST Web API as a communication medium with a MySQL-based database processing system. The results of implemented system is expected to help the productivity of CV Ariya DVC Computer Malang, which can be accessed anytime and anywhere, using Android smartphone, and also push notifications that will greatly help reduce late invoice payments. Keywords: Automatic Reminder System, Android, Ionic, REST
Deep embedded clustering with matrix factorization based user rating prediction for collaborative recommendation

Conventional recommendation techniques utilize various methods to compute the similarity among products and customers in order to identify the customer preferences. However, such conventional similarity computation techniques may produce incomplete information influenced by similarity measures in customers’ preferences, which leads to poor accuracy on recommendation. Hence, this paper introduced the novel and effective recommendation technique, namely Deep Embedded Clustering with matrix factorization (DEC with matrix factorization) for the collaborative recommendation. This approach creates the agglomerative matrix for the recommendation using the review data. The customer series matrix, customer series binary matrix, product series matrix, and product series binary matrix make up the agglomerative matrix. The product grouping is carried out to group the similar products using DEC for retrieving the optimal product. Moreover, the bi-level matching generates the best group customer sequence in which the relevant customers are retrieved using tversky index and angular distance. Also, the final product suggestion is made using matrix factorization, with the goal of recommending to clients the product with the highest rating. Also, according to the experimental results, the developed DEC with the matrix factorization approach produced better results with respect to f-measure values of 0.902, precision values of 0.896, and recall values of 0.908, respectively.
Text-driven Face Image Generation and Manipulation via Multi-level Residual Mapper

PDF HTML XML Export Cite reminder Text-driven Face Image Generation and Manipulation via Multi-level Residual Mapper DOI: 10.21655/ijsi.1673-7288.00313 Author: Affiliation: Clc Number: Fund Project: Article | Figures | Metrics | Reference | Related | Cited by | Materials | Comments Abstract:Although Generative Adversarial Networks (GANs) have achieved great success in face image generation and manipulation, discovering meaningful directions in the latent space of GANs to manipulate semantic attributes is a difficult but meaningful challenge in computer vision. The realization of this challenge typically requires large amounts of labeled data and several hours of network fine-tuning. However, obtaining an annotated collection of images for each desired manipulation is usually very expensive and time-consuming. Recent works aim to overcome this limitation by leveraging the pre-trained models. While they are promising, the accuracy of the manipulation and the authenticity of the results cannot meet the needs of real face editing scenarios. To address these problems, this paper encodes the image and text description into a shared embedding space and proposes a unified image generation and manipulation framework by leveraging the powerful joint representation capability from Contrastive Language-Image Pre-training (CLIP). With carefully designed network structures and loss functions, the proposed framework can learn a latent residual mapper network to map the input conditions into corresponding latent code residuals. This scheme enables the proposed method to perform high-quality face image generation and manipulation by leveraging the generative power from the pre-trained StyleGAN2 model. Extensive experiments demonstrate the superiority of the proposed approach in terms of manipulation accuracy, visual realism, and irrelevant attribute preservation. Reference Related Cited by
Project Construction Organization and Management Exploring Teaching Reform in Smart Classrooms

To meet the modern requirements of education, the author conducted a Smart Classroom reform study on Project Construction Organization and Management teaching using online educational resources and modern information technology. This article discusses a series of changes in resources, subjects, and ideas brought about by the reform of smart classroom education, and summarizes the implementation effects of the reform in cultivating new engineering talents through high-quality education and teaching.
Analysis on the Criminal Management Dilemma of Network Verbal Violence under the Perspective of Execution Connection

The criminal management of network verbal violence is facing the difficult problem of low conversion rate of criminal cases. The reinterpretation of the concept of network verbal violence under the system of criminal regulation is the premise of clarifying the problem and putting forward countermeasures. It should be noted that in addition to targeting individuals, the object of conduct also includes specific groups of non-specific individuals. Taking the connection of execution as the starting point, the criminal management dilemma of network verbal violence is mainly reflected in the physical dilemma of one-sided identification of “serious circumstances” and “social order”, and the procedural dilemma of low efficiency of criminal evidence transformation. In terms of entity, the penalty criteria should be improved, a single number of identification should be abandoned, a multi-dimensional identification method of “field + means + content + frequency” should be adopted, and it should be clear that the order of cyberspace belongs to social order. In terms of procedures, it emphasizes the responsibility of each subject to assist in investigation and evidence collection, and gives the opportunity for victims of cyber violence cases to initiate the investigation procedure.
An Eye-tracking Based Study: The Role of Images and Explanatory Texts in Reading Comprehension

This study aims to explore the influence of the illustrative function of images and explanatory texts on people’s reading behaviors. Images are commonly used in books, and their function goes beyond mere decoration. Images can significantly improve people’s reading comprehension by serving as illustrations. The study utilizes eye-tracking technology to understand how images influence people’s reading processes. Simultaneously, the function of explanatory texts for images is also investigated. An eye tracker records people’s gazing process, and eye-tracking parameters are used to quantify the gazing behavior. During the experiment, the stimuli are divided into three groups. Group one consists of an article with only texts. Group two includes an article with texts and a relevant image. Group three contains an article with texts and an image accompanied by an explanatory section. Each group has three articles on different topics. The subjects read different types of stimuli and answered corresponding questions. All the reading processes were recorded by the eye-tracker. Total fixation duration, fixation counts, and average fixation duration are used to evaluate the influence. The results indicate that when images are present, people allocate more attention from texts to images and tend to seek help from pictures. Images enhance people’s reading capability and reduce cognitive load. However, there is no significant difference between images alone and images accompanied by explanatory sections. The potential reasons for this are discussed. This finding could improve the understanding of images and explanatory texts as illustrations and provide insights into book or article format design.
Intelligent Campus Informatization Management Model Based on BD and AI

Schools are the gathering centers of knowledge and information resources in the information society. In the new media environment, the traditional teaching method with paper textbooks as the main carrier cannot keep up with the pace of modern information technology (IT). The "Internet plus" smart campus model has become an inevitable trend of future university reform. This paper combined artificial intelligence (AI) with Big data (BD) and other advanced theories, used data mining to analyze students' learning, teachers' teaching behavior and the impact of related factors on education and teaching quality, and built a new generation of information platform. By utilizing various technological means to achieve resource sharing and interactive communication between teachers and students, as well as between different groups, a truly intelligent teaching service system was formed. School A, which deployed a smart campus information management system model based on BD and AI, was compared with School B, which used a traditional campus management platform. The experimental results showed that the average total score of students in Class A of School A was about 81.527 points, while the average total score of students in Class B of School B was about 77.979 points. Class A was about 3.548 points higher than Class B. This to some extent indicates that the application of AI and BD analysis technology can have a positive impact on education and teaching work, making teaching and management more refined. The introduction of BD and AI is driving the transformation of the entire society from an industrial economy to a knowledge-based economy. The personalized needs of students are gradually expanding and showing a diversified trend. Education concepts and teaching models have also undergone changes, bringing opportunities and challenges to schools.
PENGARUH MODEL COOPERATIVE LEARNING TIPE JIGSAW BERBANTUAN MEDIA SCRAPBOOK TERHADAP KETERAMPILAN BERBICARA PESERTA DIDIK DI SEKOLAH DASAR

The background of this study is the difficulty in improving speaking skills, the average value of students' speaking skills at SDN Cileunyi 3 in learning under the KKM, because there are students who lack confidence when speaking, learning tools are not maximal when teaching, delivering material by lecturing , learning is focused on educators, therefore when the learning process of students tends to become monotonous. Based on this, it is necessary to have a learning model so that students must interact more with their friends and teachers in learning so that they become accustomed to speaking and communicating. The purpose of this study was to determine the effect of the Jigsaw Cooperative Learning learning model. The method used in this study is a quasi-experimental quasi-experimental research method. The design used is the control group design. Data collection techniques through tests, observation, and documentation. The tests used used the pretest and posttest which were used as data on students' speaking skills. The sample used was class IV-A as the experimental class using the Jigsaw Cooperative Learning model and class IV-B as the control class using the Conventional model. Data processing techniques were carried out using the normality test, homogeneity test, independent sample t test, NGain test and effect size test assisted by IBM SPSS Statistic 25 software. Based on the research results, an overview of the learning process was obtained using the Jigsaw Cooperative Learning Type assisted learning model. media scrapbook. There is a big influence on the use of the Jigsaw Cooperative Learning learning model with a value of 1.8 in the effect size test and a significant value of 0.000 through the Independent Sample T-Test.&#x0D;
Research on Intelligent Computing Fuzzy Information Signal Processing System Based on Computer Big Data Technology

This paper presents the concepts of comparative likelihood and multiplication of intuitionistic fuzzy information. Then a design scheme of all - light fuzzy intelligent information processing system is proposed. Finally, this paper integrates computer big data technology and establishes corresponding optimization model based on intuitionistic fuzzy entropy weight theory and relative entropy principle to discuss the solution of the model. The effectiveness of the algorithm and the advantage of better time are demonstrated by simulation experiments.
Retracted: A Research on the Realization Algorithm of Internet of Things Function for Smart Education

[This retracts the article DOI: 10.1155/2022/1330190.].
Utilization of LSTM (Long Short Term Memory) Based Sentiment Analysis for Stock Price Prediction

This study aims to utilize sentiment analysis in predicting stock price movements. Sentiment analysis can provide information to investors to understand market sentiment. This study uses a text-based approach by pre-processing data, constructing a sentiment analysis model and evaluating model performance. The collected data is analyzed to identify the text's positive, negative, or neutral sentiments. The approach used in scoring sentiment analysis is the Text blob approach and the Lexicon approach. Differences in the results of the accuracy of the two Sentiment Analysis approaches with the LSTM model have an influence on the prediction results with a better increase in accuracy using the Lexicon Sentiment Analysis approach. Then the LSTM model is implemented to classify texts into the desired sentiment categories. The results of this study are insight into the use of sentiment analysis in predicting stock price movements. The implemented sentiment analysis model can be a useful predictive tool for investors and stock practitioners in making investment decisions.