Reviewerly/exHarmony huggingface dataset:
Penggunaan Media Pembelajaran Berbasis Blog untuk Membangkitkan Motivasi Siswa Kelas IX dalam Menulis Cerpen

Expressing experiences and ideas in the form of short stories by paying attention to the structure and language is a basic competency that must be mastered by students in grade IX SMP/MTs. In reality, the motivation of grade IX students in writing short stories is very low. This can be seen from the number of students who submit assignments and the quality of the short stories produced. This condition is a challenge for teachers to find the problems that cause it and find the right solution to overcome the problem. Through the teacher's personal blog that presents short story models that are in accordance with the level of psychological development of students and close to students, it is hoped that it can arouse students' motivation in reading and writing short stories.
Pengelolaan Sarana dan Prasarana dalam Pembelajaran di SLB Negeri 1 Lima Kaum

The main problem in this thesis is that SLB Negeri 1 Lima Kaum in managing educational facilities and infrastructure has made plans but in the procurement of facilities and infrastructure it is not in accordance with the plans that have been made, there are some teachers who do not utilize the existing facilities and infrastructure optimally due to lack of ability. in operating teaching aids and learning media. The purpose of this study is to explain the management of facilities and infrastructure in learning. This research uses qualitative methods and takes place in SLB Negeri 1 Lima Kaum. Data analysis techniques used in this study are data reduction, data presentation, and conclusion drawing. The technique of checking the validity of the author's data uses several techniques, namely: triangulation and using reference materials. Based on the results of research conducted by researchers, it can be concluded that the management of facilities and infrastructure in improving the quality of learning in SLB Negeri 1 Lima Kaum includes aspects of planning, procurement, use and maintenance of facilities and infrastructure. The management of facilities and infrastructure at SLB Negeri 1 Lima Kaum has several obstacles in its implementation, such as the lack of school land, insufficient school funds, lack of learning tools, and students who do not maintain school facilities and infrastructure. This has resulted in the management of facilities and infrastructure in SLBN 1 Lima Kaum not running optimally
Retracted: Construction of the Maximum Oxygen Intake Regression Equations for Exercise Training on Respiration and Heart Rate

[This retracts the article DOI: 10.1155/2022/6281199.].
Retracted: A Study of College Teachers’ English Teaching Quality Based on Fuzzy Neural Network

[This retracts the article DOI: 10.1155/2022/8162048.].
Retracted: Calculation Model of Regional Economic Growth Efficiency by Intelligently Optimized Interunit Layout

[This retracts the article DOI: 10.1155/2022/9775900.].
The Evaluation of Usability and Website Development using Cognitive Walkthrough, Performance Measurement, and System Usability Scale

The website of Social Affairs, Empowerment, and Child Protection in Bali is one of the information media used to fulfill one of the Service's requirements in implementing the Law on Public Information Disclosure. The initial observation results showed that there has never been a usability evaluation related to the website. In addition to this, according to an initial survey of 55 respondents from the general public and service information technology staff, the results obtained were (1) 69% of respondents stated that the website for the Office of Social Affairs, Women's Empowerment and Child Protection of the Province of Bali had an unattractive appearance, (2) as many as 67% of respondents stated that the website was still not good at placing and writing menus, (3) 67% of respondents stated that the website could not provide comfort when browsing, and (4) 95% of respondents stated that the display and contents of website content were still lacking and need to be developed. Based on the results of the interviews and surveys conducted, it is necessary to carry out an evaluation to find out more about the development of the website for the Bali Provincial Office of Social Affairs, Women's Empowerment and Child Protection. Therefore an evaluation was carried out on the website of Social Affairs, Women's Empowerment, and Child Protection of Bali using the Cognitive Walkthrough, Performance Measurement, and System Usability Scale (SUS) evaluation techniques. The research resulted in the following conclusions. (1) The website development for the Provincial Office of Social Affairs, Women's Empowerment, and Child Protection uses the Incremental method to produce a website with a more dynamic and modern appearance but still minimalist so that it does not interfere with the view of the website visitors and remains focused on content so that it is comfortable to view and read. (2) The performance measurement method evaluation results showed that the website is included in the effective and efficient category. The results showed that the working time for the beginner and the proficient group was short, the average for the proficient group was 17.4 seconds, and the beginner was 17.56 seconds. (3) Recommendations from the results of the usability evaluation of the Bali Provincial Office of Social Affairs, Women's Empowerment, and Child Protection using the Cognitive Walkthrough method are included in the successful category. Research showed that 100% of respondents completed the task scenario perfectly without any failures or errors. (4) Satisfaction of website users, when evaluated using the SUS method, gets an average score of 92.36 which is above the standard score of 68, so it can be concluded that respondents are very satisfied using the website for Social Affairs, Women's Empowerment and Child Protection of the Bali Province.
Retracted: Blockchain Information Sharing Mechanism Based on Embedded System in Project Management System

[This retracts the article DOI: 10.1155/2022/1835626.].
PENGARUH MODEL PEMBELAJARAN SCRAMBLE DENGAN MEDIA QUESTION CARD TERHADAP HASIL BELAJAR IPA SISWA KELAS IV SD NEGERI 5 PEDAMARAN

The background of this research is the low learning outcomes of fourth grade students in science learning at SD Negeri 5 Pedamaran. This study aims to determine the effect of using the Scramble learning model with Question Card media on student learning outcomes at SD Negeri 5 Pedamaran. The subjects in this study were class IV SD, namely class IVA as an experimental class which was taught using the Scramble learning model with Question Card media. Class IVB as a control class is taught using conventional learning. In this study using a quantitative approach to the experimental research method. The design form of the experimental method used is the Posttest Only Control Design. In collecting data, researchers used tests and documentation. The data analysis technique used in this study is the Independent Samples Test. The results showed that the application of the Scramble learning model with Question Card media could affect the science learning outcomes of fourth grade students at SD Negeri 5 Pedamaran, where the average score in the experimental class was 70.67 and in the control class was 43.60. The conclusion in this study is that there is a significant effect of using the Scramble learning model with Question Card media on the science learning outcomes of fourth grade students at SD Negeri 5 Pedamaran.
Technical Characteristics of Incunabulum in Europe

Incunabula are printed materials created in Europe from the time of Johann Gutenberg's invention until 1500. Incunabula originate from the Latin language (lat. Incunabulum) and mean cradle or the beginning of something. In this paper, the representation of individual states and cities in the creation of incunabula is investigated and presented. The persons responsible for such development are also listed. Special attention is given to the presentation of Croatian incunabula. The mentioned works describe the characteristic features. Incunabula testify to a high level of culture, standards, and technological development of a particular area. The studied works reveal and confirm, as confirmed in this paper, the attitude of society towards literacy, education, and the national culture of each nation. This paper aims to comprehensively present the importance of incunabula for the development of European and Croatian culture, technological and comprehensive progress.
ANALISIS KESULITAN BELAJAR MATA KULIAH BIOLOGI UMUM PADA PROGRAM STUDI PENDIDIKAN MATEMATIKA UNIVERSITAS INDRAPRASTA PGRI di MASA PANDEMI

In every teaching and learning process, it will never be separated from learning difficulties, especially during a pandemic like today. Teaching and learning activities in the General Biology course are not free from learning difficulties. This study aims to analyze how difficult it is for students of the UNINDRA mathematics education study program to study General Biology courses. This study uses descriptive qualitative research techniques, where this research method seeks in-depth answers about a phenomenon that is currently happening. From the evaluation results, it was found that around 40% of lecturers use Whatsapp in the teaching and learning process, 0% zoom meetings, 20% Google Classroom, and 10% google meet. In this study, students of the UNINDRA mathematics education study program experienced learning difficulties as seen from the indicators we observed; 90% of lecturers or teaching staff, 87% teaching aids, 65% building conditions, 75% curriculum, 70% lesson time, 75% discipline level, 69% motivation and 80% learning media.
DIGITAL EDUCATIONAL GAMES FOR THE DEVELOPMENT OF EDUCATION IN THE POST-MODERN ERA YUVAL NOAH HARARI'S PERSPECTIVE

The use of Digital Educational Games available on tablets, smartphones and computers to offer children creative and interactive learning conditions is the main focus of this article, since the cosmos continues without turning back to reach an uncertain reality due to the unstoppable advance of technology.Digital Educational Games emerge in this context as a didactic resource that contains characteristics that can bring a series of benefits to the practice of teaching and learning.This article presents the potential of Digital Educational Games, based on studies by experts in the field, using Harari's work as a basis, on the 21 lessons for the 21st century, which brings with it proposals for content or subjects to be taught to children in the 21st century to better adapt to the challenges of the future.Likewise, it points to problems that can be overcome from the Games in the sense that they develop competences, creativity, knowledge and other skills throughout the educational process.
Deployment of Offline Learning Management Systems: Comparing the Performance of Selected Micro-servers in Tanzania

Low-powered mobile devices such as Raspberry Pis and tablets can be used as micro-servers to implement offline Learning Management Systems (LMS). Despite their potential, especially for low-income countries, such as Tanzania, no research is available detailing the affordances of these devices for supporting LMS features. This study investigated the suitability of various low-cost micro-servers for deploying LMSs. It compared the performance of the Raspberry Pi, Android tablet, and Chromebook in terms of LMS benchmarking, response time, and resource utilisation. Results showed all devices had sufficient hardware resources to support the LMS, however, software stacks, I/O performance, and platform optimisations affected the micro-servers' performance. The Chromebook had the best performance in terms of response time, followed by the Raspberry Pi and tablets. In terms of cost, the Raspberry PI was the cheapest option. The installation process for tablets was more cumbersome than the other devices, meaning the devices with better tooling and a more conventional software stack were a better option for deploying offline micro-servers.
Application of the Single Exponential Smoothing Method For Flood Disaster Prediction

The country of Indonesia is seen as one that is particularly vulnerable to natural catastrophes as well as calamities brought on by human activity. A disaster that may be brought on by both natural and human sources is a flood. Disasters brought on by flooding are unpredictable occurrences that frequently cause losses in the form of property damage, the theft of assets, and lost productivity at work and in school. Through this prediction information system, the people can find out the level of risk of flooding through excessive rainfall. in order to better anticipate and prepare for all possibilities that occur before the flood, the method used is Single Exponential Smoothing. This method was chosen because of the simple way the system works to find predictive values ??through past data. With this system, researchers can input rainfall data taken from the Meteorology, Climatology and Geophysics Agency, then the data is processed through the system and if rainfall gets high results. The risk of flooding will also be very high and a warning will be given to the public so that better prepared for the risk of flooding. The results obtained from this study are the results of an analysis of the exponential method single to obtain accurate rainfall prediction information with data MAD, MSE and MAPE.
Instant Noodle Production Information System Using The Method Supply Chain Management To Overcome Targets Not Achieved

Improvement This research aims to analyze and implement an instant noodle production information system using the Supply Chain Management (SCM) method to overcome the inability to achieve predetermined production targets. In this study, an analysis was carried out on the entire supply chain in the production of instant noodles, which includes raw material suppliers, production processes, distribution and sales. The research method used is a qualitative method. The subjects of this study were instant noodle company employees. The results showed that the application of a production information system using the SCM method could help companies increase the efficiency of instant noodle production. With an integrated information system, companies can gain better visibility on consumer demand, raw material inventory, and production status. This allows companies to carry out more accurate production planning, accelerate production cycle times, and optimize resource use
Impact of the qualitative characteristics of accounting information in the quality of electronic banking services: A field study in banks operating in Yemen

The study aimed to measure the impact of the qualitative characteristics of accounting information through its dimensions (relevance, reliability, understandability, timeliness, verifiability, and comparability) on the quality of private electronic banking services in banks operating in Yemen. Reliance on the questionnaire as a tool for data collection, and the study population included (19) banks operating in Yemen, from which a sample was taken represented by (13) banks, in the main centers located in the capital Sana’a and the interim capital Aden, represented by the financial administration and departments related to electronic banking services In those banks, which included (200) employees, and the study used the descriptive analytical approach to achieve the objectives of the study and test its hypotheses.; The statistical package for social sciences (SPSS) program was used to analyze the data.. The study concluded with a number of results, including There is a statistically significant positive effect of the qualitative characteristics of accounting information represented by (relevance, reliability, understandability, timeliness, verifiability, and comparability) on the quality of electronic banking services in banks operating in Yemen. In the light of the results reached, the study recommended the adoption of procedures that may help banks operating in Yemen in achieving the quality of electronic banking services. Among those procedures is the need to provide (appropriateness, reliability, understandability, timeliness, verifiability, and comparability) in the information produced by the information system in order to assist those in charge of managing electronic banking services.
A Study on Verification of CCTV Image Data through Unsupervised Learning Model of Deep Learning

Abnormal behavior is called an abnormal behavior that deviates from the same normal standard as the average. The installation of public CCTVs to prevent crimes is increasing, but the crime rate is rather increasing recently. In line with this situation, artificial intelligence research using deep learning that automatically finds abnormal behavior in CCTV is increasing. Deep learning is a type of artificial intelligence designed based on artificial neural networks, and the quality of learning data is important for high accuracy in the development of artificial intelligence through deep learning. This paper verifies whether learning data for abnormal behavior detection is suitable as learning data which is being constructed using an MPED-RNN model for binary classification to determine whether there is an abnormal behavior by frame using skeleton data of a person based on an autoencoder. As a result of the experiment, the unsupervised learning-based MPED-RNN model used in this paper is not suitable for verifying images with a similar number of frames with and without abnormal behavior, such as the corresponding data, and it is judged that appropriate results can be derived only when verified with a supervised learningbased model.
Risk Analysis of Information Security in Balikpapan International Airport Service Desk Plus (SDP) Using The Octave Allegro Method

Indonesia, as a developing country, is not exempt from the advancements in information and communication technology. However, these advancements in information and communication technology can bring negative impacts, such as an increasing threat of misuse. SDP (Service Desk Plus) is a system that serves as a management tool for IT services, facilitating employees from various departments in requesting services and reporting ICT (Information Communication Technology) incidents. SDP has faced challenges or obstacles that have hindered its optimal use, such as IT services experiencing downtime, inaccessible ICT services, and SDP users frequently sharing usernames and passwords. Based on these threats, it is necessary to conduct a further analysis of information security risks regarding the security of implementing SDP centrally using the OCTAVE Allegro method. OCTAVE Allegro is a framework that utilizes the OCTAVE approach with a primary focus on information assets, designed to provide faster results without requiring in-depth knowledge of risk assessment. The results of this research identified three risks that can be mitigated, namely user data password errors with a relative risk score of 27, internet downtime with a relative risk score of 31, and file intrusion with a relative risk score of 38, considering the likelihood of threats occurring. Additionally, there is one accepted risk, which is the input error of incident data, with a relative risk score of 19.
PENGARUH PENERAPAN MODEL DISCOVERY LEARNING TERHADAP HASIL BELAJAR SUBTEMA PELESTARIAN KEKAYAAN SUMBER DAYA ALAM DI INDONESIA

This study aims to determine the effect of applying the Discovery Learning model. This study used a quasi-experimental method. The research was conducted at a state elementary school in the city of Bogor, Bogor, in grades IV-A and IV-B in the even semester of 2022/2023. The data processing technique used is the data analysis prerequisite test which includes the normality test and homogeneity test then a hypothesis test is carried out using the t test. based on data analysis, the learning outcomes for the sub-theme of preserving natural resource wealth in Indonesia through the application of the Discovery Learning model obtained an average N-Gain of 70 with a complete learning outcome of 100% while the Picture And Picture model obtained an average N-Gain value of 57 with completeness learning outcomes of 88%. The results of testing the hypothesis stated that H0 was rejected and Ha was accepted because tcount (3.8690) &gt; ttable (2.01174). Based on the results of the research above, it can be concluded that there is an influence of the application of the Discovery Learning model on learning outcomes in the sub-theme of preserving natural resource wealth in Indonesia
Text Classification Based on Neural Network Fusion

The goal of text classification is to identify the category to which the text belongs. Text categorization is widely used in email detection, sentiment analysis, topic marking and other fields. However, good text representation is the point to improve the capability of NLP tasks. Traditional text representation adopts bag-of-words model or vector space model, which loses the context information of the text and faces the problems of high latitude and high sparsity,. In recent years, with the increase of data and the improvement of computing performance, the use of deep learning technology to represent and classify texts has attracted great attention. Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) and RNN with attention mechanism are used to represent the text, and then to classify the text and other NLP tasks, all of which have better performance than the traditional methods. In this paper, we design two sentence-level models based on the deep network and the details are as follows: (1) Text representation and classification model based on bidirectional RNN and CNN (BRCNN). BRCNN’s input is the word vector corresponding to each word in the sentence; after using RNN to extract word order information in sentences, CNN is used to extract higher-level features of sentences. After convolution, the maximum pool operation is used to obtain sentence vectors. At last, softmax classifier is used for classification. RNN can capture the word order information in sentences, while CNN can extract useful features. Experiments on eight text classification tasks show that BRCNN model can get better text feature representation, and the classification accuracy rate is equal to or higher than that of the prior art. (2) Attention mechanism and CNN (ACNN) model uses the RNN with attention mechanism to obtain the context vector; Then CNN is used to extract more advanced feature information. The maximum pool operation is adopted to obtain a sentence vector; At last, the softmax classifier is used to classify the text. Experiments on eight text classification benchmark data sets show that ACNN improves the stability of model convergence, and can converge to an optimal or local optimal solution better than BRCNN.