Reviewerly/exHarmony huggingface dataset:
Aplikasi Toko Sembako Online Berbasis Web Codeigniter (Study Case Pt Jtrust Olympindo Multifinance)

The outbreak of the covid-19 virus has caused many listing and funding companies to go bankrupt. J-trus group is one of the companies that has experienced the impact of covid 19, so that the company is able to survive, the company is looking for other ways to get additional income, namely by expanding the sale of basic necessities online, here the author provides a solution using a web-based application to realize this the. So the purpose of this paper is to design and build a PHP-based application with the Codeignither framework. The method uses the waterfall and the database uses a MYSQL database. The design includes Use Case Diagrams, Activity Diagrams, class diagrams. Testing the application with the Black Box testing method, functionally has been declared successful. And based on the test results using the System Usability Scale (SUS), a score of 71 has been obtained with a value above the average so that it can be accepted by users
SOCIAL DISTANCING AND MASK DETECTOR BASED ON COMPUTER VISION USING DEEP LEARNING METHODS

In the context of a coronavirus pandemic, this paper describes social distancing and face mask identification.In a pandemic such as this one, social distancing and adopting a face mask may help you feel better.The Covid-19 had a great impact on the health of aspects in a large number of countries, and so it brought a difficult time for a lot of people across the world.By limiting the transmission of infection, the effective measure of wearing a face mask and maintaining social distance can save billions of lives.In our project, we presented two main solutions.(i)Masking; (ii) In real-time, maintaining a secure (physical/social) distance between people.Features: (I)Face Masking: The camera can detect people who wear masks and that those who are not wearing masks, using green and red boxes denoting who is wearing masks and who's not.When the machine detects a human without a mask or facial covering, it generates an alarm.(II)Social Distancing: The appliance analyzes the distance between the two individuals and flashes red and green boxes, denoting that the red box is not retaining a healthy distance whereas the green box is.(III) Warning: An alarm is triggered if a person does not maintain distance and has no face covering; an alarm is triggered if a person does maintain the distance but has no face covering and an alarm is triggered if a person has a face hidden but has not retained distance.
The Effectiveness of Random Text Methods in Learning to Writing Text Stores of Grade 8<sup>th</sup> Junior High School in Ogan Komering Ulu

This study aims to determine the effectiveness of the random text method in learning to write news texts for class VIII students of SMP Negeri 1 OKU and to describe learning to write news texts for grade VIII students of SMP Negeri 1 OKU.The method used in this research is an experimental method with a sample of 32 students.The data collection technique used was a news text writing test.The results showed that the ability of students of class VIII SMP Negeri 1 OKU in writing news texts using the random text method had increased as seen from the results of students' writing tests before and after applying the random text method using five aspects of the assessment criteria in writing news texts, namely the accuracy of the content.news text; completeness of news text elements; word accuracy, sentence accuracy, spelling.With the difference in the ability of the pre-test and final test, it can be said that the random text method is effectively used in learning to write news texts on the ability of class VIII SMP Negeri 1 OKU students.Thus the use of the random text method can increase student motivation and improve students' ability in learning to write news texts.
Model Field Computations of Vertical Magnetic Anomalies due to 2D Fault Sources Bounded by non-planar fault planes

Abstract Summary Model Field Computations of Vertical Magnetic Anomalies due to 2D Fault Sources Bounded by non-planar fault planes.
The Effect of Establishing Security System for SMEs in ICT on Improving Security Awareness and Preventing Security Incidents

Background/Objectives: This study aims to present the effect of the establishment of a security system of SMEs in ICT on enhancing security awareness and preventing security incidents.Methods/Statistical analysis: A research model was designed to analyze the effect of security system construction on security awareness and security incidents. Through theoretical literature survey, several variables of security training, security policy, and security infrastructure were derived for the security system. An empirical analysis was conducted using the structural equation, validity and reliability analysis with the collected 103 data for employees of SMEs in the ICT field through a questionnaire consisting of a 5-point Likert scale.Findings: The establishment of a security system through periodic corporate security training, security policy, and security infrastructure has a statistically significant impact on improving organizational security awareness and preventing security incidents. Security training has shown a higher impact on security infrastructure and security policy than on improving security awareness. This is found to have a substantially high impact on security awareness and security incident prevention because security training is already performed in ICT of SMEs, and the introduced security infrastructure is operated by applying security policies.Improvements/Applications: In order to improve the security awareness of SMEs in ICT, it is necessary to study various influential factors, such as the participation of management, and regulatory factors.
COVID-19 시대 원격 기반 교양 영어 수업에 대한 대학생 학습자들의 인식

Since World Health Organization (WHO) had confirmed Coronavirus as pandemic, rapid changes are occurred in almost all aspects of our lives including social, economic, political and cultural. Among them, educational environments are one of the most impacted areas. After the COVID-19 pandemic, the mode or delivery of class was forced to be online (either synchronous or asynchronous) and almost all universities in Korea offer courses via online. In order to improve the quality of online class, the present study investigated students’ perceptions on synchronous online class. A total of 33 EFL students, enrolled in an English elective course in a private university in Korea, participated. Data were collected from survey, students’ log, interview and open-ended questionnaire. The classes were conducted via ZOOM for 15 weeks, and the students participated online discussions with students from six Asian universities using Skype live session for four weeks (week 8 to 10). Overall, students were satisfied with the synchronous interaction and feedback during ZOOM class. However, they were not satisfied with the online discussion session via Skype. The following implications can be elicited from the study. First, instructors need to offer various IT platforms in online discussion class. Second, in-depth orientation to the use of the platform is necessary for learners’ understanding.
Penerapan Model Picture and Picture Dengan Media Audio Visual untuk Meningkatkan Kualitas Pembelajaran IPS

&lt;p&gt;&lt;em&gt;The research aimed to increase social subject quality of third grade elementary school students through the&lt;/em&gt;&lt;em&gt; application of picture and picture model using audio visual. The research was designed using classroom action research consisted of planning, action, observation, and reflection. The data was collected using test, observation, documentation, and learning log. The result of teacher skill in the first cycle scored 25 in good category. Cycle II scored 26 in good category. Cycle III scored 33 in excelent category. The results of cognitive learning classical completeness in the first cycle was 61%. The second cycle was 78%. The third cycle was 87%.The conclusion was the application of picture and picture model using audio visual improved the quality of learning including teacher skills and student learning outcomes.&lt;/em&gt;&lt;/p&gt;
Stimulation Of Early Childrenâ€™s Ability To Hear By Story Activity

To be able to support children's general cognitive ability and aspects of effective communication, enhancement of listening abilities in early childhood is very important. The researcher explains items related to early childhood language in this case. This research aimed to see how to stimulate early childhood listening skills through storytelling activities. Literature analysis research using the outcomes of reviewing papers, books, and similar relevant sources is the type of research used. The outcome of this research is that storytelling can impact early childhood listening capacity and can attend the focus of children on listening to what other people say through storytelling activities.
Pengembangan Multimedia Interaktif Menggunakan Lectora Inspire17 Pada Mata Pelajaran IPA Kelas VII di SMP

Class VII IPA subjects when the learning process still uses simple media. The media used in the form of textbooks such as student worksheets, textbooks, and teaching aids so that students' interest during learning is reduced. there is no use of interactive media during the learning process which can attract students' interest in learning due to the lack of variations in learning media. This research was conducted with the aim of producing a product in the form of interactive multimedia whose final result was in the form of a valid and practical interactive CD / DVD in accordance with the eligibility criteria for material and media in science class VII class at SMP Negeri 6 Padang. This study uses a Research and Development (R&D) type of research using the Borg and Gall model. The development stages are in the form of planning stage, initial product development, product validation, media feasibility testing, final product. The product of this development was assessed by 1 material expert validator and 2 media expert validator and the product practicality test was carried out on 10 grade VII students of SMP Negeri 6 Padang. Based on the results of the questionnaire assessment by material expert validators, the results were 4.75 in the Very Valid category. Furthermore, the results of the validator 1 by media experts were 4.92 in the Very Valid category. The assessment of the validator questionnaire by 2 media experts obtained results of 4.92 in the Very Valid category, as well as the value of the practicality of the media obtained by an average of 4.68 in the Very Practical category. So it can be concluded that Interactive multimedia Using Lectora Inspire17 in Class VII Science Subjects.
E-Voting with Hybrid Encryption RSA Algorithm

E-voting system based on and improved from our previous work .E-voting system, referred to as Enhanced note is enhanced with a new protocol design and watchdog hardware device to ensure voter confidentiality and voting accuracy. The watchdog device records all voting transactions to prevent voter frauds.The RSA cryptography algorithm ensures that votes casted are secured, thus maintaining the privacy of votes.The system is such that when the votes are cast on the nodes, the RSA technique encrypts the vote that is sent to the server system using both node and vote identity number.
Analysis of Laravel Framework Security Techniques Against Web Application Attacks

Web applications are increasingly present in our daily lives, helping people and companies in carrying out their tasks. Most of these applications deal with the storage and processing of sensitive information. In software development projects, many teams choose to use frameworks to assist in the development process, reducing application delivery times. However, aspects of information security may not be prioritized, generating vulnerabilities that can be exploited by malicious attacks. This paper presents an assessment of the security techniques present in the Laravel framework for protection against attacks in web applications based on the ten vulnerabilities listed in the OWASP Top Ten. Through the security tests carried out, it was possible to identify which vulnerabilities Laravel has defense mechanisms, how developers can use them to protect user data and which vulnerabilities the framework lacks resources to defend against external attacks.
SURVEY ON DEEP LEARNING TRUST BEHAVIORAL METHODS TO IMPROVE THE BIG DATA PRIVACY OF COVID DATASETS

In recent times the privacy breaches is occurring very frequently, where data privacy is at a great risk and the firms are at most risk affecting its loyalty amongst the customers. Hence, the secure access or the privacy of data should be achieved with greater agility and security. Meanwhile Community detection plays a major role in monitoring the opinion or trust and the forms personalized recommendation based on the firms. In comparison with existing behavioral trust modelling with the multiple users, the operational big scale data and privacy and linking the relationship between them requires a comprehensive data analytics framework. The relationship between the security and large-scale data is handled in the proposed system, where a behavioral trust based data analytics modelling is utilized to handle the firm’s privacy data. A deep learning model is used to find the trust relationship between them and it is efficient in handling rapid flow of data at a time. In this paper, we hence provide a comprehensive survey on various deep learning models that supports the privacy of covid-19 datasets in terms of trust model. The study aims to offer various insights on methods adopted to improve the privacy of big datasets. Further, the implications of future scope is presented for the readers to improve on their research in the relevant fields.
The Effect of Using Infographic on Students’ Writing Summary Skill

This research was due some of problems in the English learning process. Firstly, the students had difficulties in writing summary because the students did not have the skill to writing summary. The students did no how to begin writing summary. Secondly, teacher seldom used media in learning English. And thirdly, the students had poor vocabulary mastery. This research used quantitative descriptive research. The data was taken through the test. The population in were 92 students of XI TKJ 30, XI KC2 26 and XI PH 36 students.. The researcher used purposive sampling. Because only one class that is taught by the teacher with giving feedback. It is class XI TKJ 2 which consist of 30 students. Based on the results of the research, the finding reveals that students used infographis with result (2,177%) was higher than t-table (1,673%) , there was significant effect of using infographic on students writing summary. Then, the result of post-test both classes experimental and control class was obtained (2,163%) which was higher than t-table(,637%). So that, the students who are taught by using infographic is better the students who are taught by using conventional.
The Repercussions and Remediations of Misconfiguration in Cloud

Cloud provides numerous benefits for working environment. But, for the secure handling of data, the cloud users should be aware of how to safeguard their data against the general issues of misconfigurations which leads to openness of cloud data to hackers or malicious users. The incorrect configuration of cloud infrastructure is the only one biggest problem fronting the security groups and the managing teams. Configuration of cloud is quite complex process. But, it should be done correctly inorder to avoid the security risks. The cloud infrastructure misconfiguration is the biggest menace to cloud security. But, this threat can be avoidable before the risk happens and also rectifiable after the risk occurs. This article explains clearly about the repercussions and remediations of misconfigurations in cloud.
ASPECT EXTRACTION AND COMPUTATION OF LEXICON FROM NYKAA PRODUCT REVIEWS

Lexicon based approach is one of the basic methods used to judge a customer view or how a consumer interprets the product depending on the words in the review.This process is considered Opinion Mining.The reviews from various websites can be utilized to fetch descriptive statistics to make a comparative analysis.The opinion of the consumer is polarized (positive, negative, neutral).This paper gives a brief idea of a product from Nykaa.com categorized in terms of brands.The result helps the customer in understanding the characteristics of each brand.
A Grounded Approach to Modeling Generic Knowledge Acquisition.

Author(s): Beser, Deniz; Cecil, Joe; Freedman, Marjorie; Lichtefeld, Jacob A; Marcus, Mitch; Payne, Sarah R B; Yang, Charles | Abstract: We introduce and implement a cognitively plausible model for learning from generic language, statements that express generalizations about members of a category and are an important aspect of concept development in language acquisition (Carlson a Pelletier, 1995; Gelman, 2009). We extend a computational framework designed to model grounded language acquisition by introducing the concept network. This new layer of abstraction enables the system to encode knowledge learned from generic statements and represent the associations between concepts learned by the system. Through three tasks that utilize the concept network, we demonstrate that our extensions to ADAM can acquire generic information and provide an example of how ADAM can be used to model language acquisition.
Reduction of Variables through Nearest Neighbor Relations in Threshold Networks

Threshold networks are useful as a fundamental technology in the recent learning and AI domains. Reduction of data variables in threshold networks is an important issue and it is needed for the processing of higher dimensional data in the application domains and AI. Boolean and rough set is fundamental and useful to reduce higher dimensional data to lower one for the classification. We develop a reduction of data variables and classification method based on geometrical reasoning, which is characterized by nearest neighbor relations. In this paper, the nearest neighbor relations are shown to be useful for the reduction of variables and their classification in threshold networks. The Boolean operation and convex cones generated by the nearest neighbor relations derive the reduced variables of data and the classifications using them. Then, the edges of convex cones are compared for the reduction of variables. Further, hyperplanes with reduced variables are generated on the same convex cones for data classification.
The Difficulties and Countermeasures of Implementing 1+X Certificate System in “Computer Network Technology Foundation”

In recent years, with the continuous deepening of curriculum reforms, some higher vocational colleges have successively carried out educational reform systems, among which 1+X certificate system reform is a requirement of the country and society for schools. At present, there are some problems in the implementation process, such as whether the certification standards are reasonable, the supporting system is unreasonable, and the school is difficult to promote the reform system. In response to the above problems, a series of questions have been put forward, such as: improving teachers’ learning ability, cultivating teachers’ lifelong learning concepts, integrating the content of the certificate examination with the existing curriculum syllabus, formulating an effective assessment system, and inspiring teachers’ enthusiasm for work. Improve the quality of teaching, comprehensively improve the professional quality of students, enhance the competitiveness of students in employment, and output high-quality talents for the country and society.
MULTI-LAYER ARTIFICIAL NEURAL NETWORK FOR ESTIMATING REAL-ESTATE PRICES

The estimation of land costs, are a helpful and sensible methodology for purchasers and for neighborhood and monetary specialists. It is of most extreme significance to assess the present status of the market and anticipate its presentation over the present moment so as to settle on suitable money related choices. We will utilize two propelled displaying approaches Multi-Level Models and Artificial Neural Networks to demonstrate house costs. This methodology is contrasted and the standard Hedonic Price Model as far as exactness in expectation, gathering the area data and their logical (understanding) power. This undertaking presents the advancement of a multi-layer fake neural system based models to help land financial specialists and home designers in this basic assignment. ( Abstract )
Quad-DIP for X-ray cargo image decomposition

To identify different cargoes on vehicles accurately in scanned image is a tough issue. An unsupervised image de-composition method, based on a novel dual-stage double-DIP (DDIP) network, named as Quad-DIP, was proposed for the decomposition of X-ray scanned image of a cargo vehicle into vehicle and goods separately without ground truth data. The model could be effectively trained based on the fact that, firstly, the structure contents of same type vehicles were similar in the images, and secondly, the contents of goods on different vehicles were different and independent to each other. Our work focus on the content-wise correlation between them. The vehicle structure could be identified from two inputs containing the same type of vehicles, and the image could be decomposed into two components of vehicle structure and cargo information accurately after the training of Quad-DIP. We examine the accuracy of this method on the collected X-ray cargo vehicle dataset. The decomposition of Quad-DIP was more accurate than those of other published methods in literature.
Knowing How to Plan.

Various planning-based know-how logics have been studied in the recent literature. In this paper, we use such a logic to do know-how-based planning via model checking. In particular, we can handle the higher-order epistemic planning involving know-how formulas as the goal, e.g., find a plan to make sure p such that the adversary does not know how to make p false in the future. We give a PTIME algorithm for the model checking problem over finite epistemic transition systems and axiomatize the logic under the assumption of perfect recall.
Sistem Pakar Diagnosa Penyakit Bakteri Staphylococcus Dengan Menggunakan Metode Dampster Shafer

Staphylococcus is one of the most common bacteria that causes infection in the world. This is because many people do not know the symptoms of staphylococcus bacteria. Symptoms in staphylococcal bacteria vary so often that they are only considered a complaint due to lifestyle. This makes the disease in staphylococcus bacteria ignored and undiagnosed so it is too late to be treated. In this study, the authors made an application of the Dempster Shafer method to the expert system of diagnosing disease in Staphylococcus bacteria by giving value to each symptom obtained from an expert. All values ​​obtained will be resolved using the Dempster Shafer formula. This expert system is quite easy to use, only by giving a sign of the symptoms that are felt it will come out the results of the diagnosis of the disease. Thus the community can find out what diseases are suffered as well as solutions to handling the disease based on the disease experienced.