Reviewerly/exHarmony huggingface dataset:
Grammatical Errors Committed by Students of Mts Nurul Huda Sawo in Writing Descriptive Texts

This research was done to investigate the grammatical errors on descriptive texts written by the learners. Grammatical errors were analyzed based on Dulay, Burt, and Krashen’s surface strategy taxonomy. It consisted of four types of grammatical errors, namely omission, addition, misformation, and misordering. 30 students of the eighth grade students of MTs. Nurul Huda were the subjects of this research. The aims of this research were to know the kinds of grammatical errors and the grammatical error mostly committed by the students in writing descriptive texts. Qualitative was chosen as the research design. Analysis and writing test result were used as the instruments of the data collection. The result of this research indicated that there were 67 grammatical errors committed by the students. Misformation error was the highest percentage with 57.98%. Followed by Omission error was with 34.79%. Addition error was in the third place with 4.35%. While, the lowest mistake that the learners made was Misordering error (2.88%). Based on the findings, the teacher should pay attention to the students’ mistakes, especially on grammatical errors and push the learners to learn more about grammar.
Design and Implementation of an IoT-based Student Attendance System

The traditional attendance methods of colleges and universities, such as roll calls, are not efficient.Under the background of building an intelligent campus, we analyze the system requirements of the attendance system based on IOT technology and design a college student attendance system based on ibeacon to achieve accurate positioning and batch fast attendance to improve the efficiency of teaching management.
SECURE E-VOTING USING BLOCKCHAIN TECHNOLOGY

An election is an important event in all countries. Traditional voting has several drawbacks, including the expense of time and effort required for tallying and counting results, the cost of papers, arrangements, and everything else required to complete a voting process. Many countries are now considering online e-voting systems, but the traditional e- voting systems suffer a lack of trust, it is not known if a vote is counted correctly, tampered or not. A lack of transparency means that the voter has no assurance that his or her vote will be counted as they voted in elections. Electronic voting systems are increasingly using blockchain technology as an underlying storage mechanism to make the voting process more transparent and assure data immutability as blockchain technology grows in popularity. The transparent feature, on the other hand, may reveal critical information about applicants because all system users have the same entitlement to their data. Furthermore, because of blockchain's pseudo- anonymity, voters' privacy will be revealed, and third parties involved in the voting process, such as registration institutions, will be able to tamper with data. To overcome these difficulties, we apply Ethereum smart contracts to blockchain-based voting systems. Keywords— Blockchain, e-voting
Self-Awareness Of Farmers In Snakebite Management In Panti District, Jember Regency

Background: Inappropriate preventive measures are one of the contributing factors, namely the lack of public awareness about prevention efforts, namely the use of protective equipment such as boots, lack of public understanding regarding the types of venomous snakes and the level of danger from snakes is also one of the factors causing snakebites.&#x0D; &#x0D; Aim: to find out the Self-Awareness of farmers in carrying out first aid management for snake bites.&#x0D; &#x0D; Study Design: Quantitative descriptive research design. The research design used is a survey research design. The sample in this study were 100 farmers in 4 villages, namely Panti Village, Suci Village, Serut Village, and Glagahwero Village, Panti District, Jember Regency. Respondent data was obtained through collection using a self-awareness questionnaire.&#x0D; &#x0D; Result: Most of the farmers were male with a mean age of 41,07 (SD = 11,43). Length of work farmers with a median length of work 12.00 (Min-Max 1-50), the majority of the last education is high school (38%). Respondents stated that some snakes in Jember are non-venomous snakes (71%). perform first aid by keeping the bitten part of the body from moving as many as 79 respondents (79%). using a strong bond at the top of the bite wound as many as 81 people (81%). giving drinks containing alcohol to relieve pain as many as 79 respondents (79%). The use of anti-pain drugs has a balanced result, as evidenced by as many as (50%) answering Yes and as many as (50%) answering No.&#x0D; &#x0D; Conclusion: The farmers in Panti have a good self-awareness due to snakebite management. This study has implications, namely that a farmer in performing first aid management on snake bites can be influenced by knowledge, attitudes, and actions.&#x0D; Keywords: Self-awareness, Snakebite, Snakebite management of farmers
Look Based Media Player &amp; Hand Gesture Recognition

In this design, we're developing an advanced media player which plays and pauses the videotape by detecting the druggies face looking at screen or not. System monitors whether the stoner is looking at the screen or not using a web camera. If yes also does nat interrupts the videotape and allows it to play. In case if the stoner isn't looking at the or say the system could not descry the druggies face also it incontinently stops the videotape. We're trying to add a point of controlling other features of media player similar as noise discovery. Keywords – Media Player
Educational comics: a change in the attitude of 3M children aged 10-12 years during the covid-19 pandemic

Background: Covid-19 is a disease caused by a new type of Coronavirus namely Sars-CoV-2 which is transmitted through close contact and droplets. Symptoms are acute respiratory disorders such as cough, shortness of breath and fever above 38℃. Attitude change is a stimulus or stimulus received by a person, either in the form of a positive or negative response. Educational comics are pictures and writings that make up a story, then packaged into a book. The comic "Kitorang Lawan Corona" is more interesting for the readers. Objective: This study was to analyze the effectiveness of educational comics on changes in 3M attitudes in children aged 10-12 years during the covid-19 pandemic. Methods: The research design used was a quasi-experimental approach with a one group pretest-posttest design. The subjects of this study were students of MI Al-Kautsar Sorong City aged 10-12 years. Measurement of attitude change was carried out before and after giving educational comics using a Likert questionnaire. Analysis of research data using the Wilcoxon test. Results: providing comics education was significantly (p=0.000) effective on changing 3M attitudes in children aged 10-12 years during the covid-19 pandemic. Conclusion: Educational comics are effective in changing 3M attitudes in children aged 10-12 years during the covid-19 pandemic.&#x0D; Keywords: Attitude change, health protocols, educational comics.
DUAL AXIS SOLAR PANEL USING ARDUINO

Solar energy is a clean, easily accessible and abundantly available alternative energy source in nature. Getting solar energy from nature is very beneficial for power generation. Using fixed Photovoltaic panels extract maximum energy only during 12 noon to 2 PM in Nigeria which results in less energy efficiency. Therefore, the need to improve the energy efficiency of PV solar panel through building a solar tracking system cannot be over-emphasized. Photovoltaic panels must be perpendicular with the sun in order to get maximum energy. The methodology employed in this work includes the implementation of an Arduino based solar tracking system. Light Dependent Resistors (LDRs) are used to sense the intensity of sunlight and hence the PV solar panel is adjusted accordingly to track maximum energy. The mechanism uses servo motor to control the movement of the solar panel. The microcontroller is used to control the servo motor based on signals received from the LDRs. The result of this work has clearly shown that the tracking solar panel produces more energy compared to a fixed panel. Key Words: LDRs, PV panel, Solar Energy, Microcontroller, Arduino, and Servo.
SECURE DATA HIDING MECHANISM USING TEXT COVER MESSAGE

Steganography is the art of hiding secret information within other information that is digitally concealed. It protects the confidentiality of two communicating parties. Information hiding is a highly strong and adaptable strategy that may be used to protect vital information in a variety of situations. There are several steganography techniques available, each with its own set of advantages and disadvantages. This study presents a new data hiding mechanism that hides file information in text cover messages to safeguard user data from vulnerabilities. It also utilize a deduplication strategy that employs the suggested DSHA algorithm to reduce repeated data storage. This novel technique ensures security while maintaining confidentiality.
Jigsaw in Teaching Reading for Elementary School Students

The current study investigated the effect of jigsaw on students’ reading comprehension. In doing the study, the pretest and posttest design was used. The participants of the study were 6th grade students in one public school in Singaraja, Bali. Through descriptive analysis, it was found that the mean score of pre-tests was 66.25, and the posttest was 75.42. The mean difference between pretest and posttest was 9.17. The result of paired sample t test showed a significant value (Sig. 2-tailed=.000). Thus, it can be concluded that jigsaw technique significantly affected students’ reading comprehension. English teachers are encouraged to implement jigsaw technique in classroom.
"Placemento by Acro" WEB APPLICATION FOR TRAINING AND PLACEMENT CELL

Training and Placement Cell is an important part of any educational institute, in which most of the work till now is being done manually. The training and placement officer has to inform around thousands of students about every single training and placement related activity. So to make the placement process easy and effective for the training and placement department as well as the students, an Web application can be developed. This application can help the placement officers to provide the details of upcoming companies. The students will be alerted via a notification. Once the recruitment process is completed, a list of placed students will be uploaded in the application by the administrator. It would be easy for the students to view the details of those who have been recruited. The number of students placed in a particular company can be viewed by students when required. If any changes is need to be made in the student details the student can make a request to the placement officer. This project will be helpful in faster management of the placement related activities in the college campus. Keywords: Web, Database server, Web server, Training and placement officer (TPO), Smartphone.
Literature Review: Hubungan Antara Riwayat Kelahiran Prematur dengan Tingkat Kecerdasan Intelektual (Intelligence Quotient - IQ) pada Anak Usia Sekolah Dasar

Preterm is defined as babies born alive before 37 weeks of pregnancy are completed. Several studies have reported that premature babies may have a risk of cognitive problems. Premature babies with gestational age between 32-35 weeks have lower intelligence and poor neuropsychological function at early school age. Therefore, the aim of this study is to determine the association between preterm birth and the level of Intellectual Intelligence or (IQ) in school-age children. This study used a literature review method. Researcher did research using three databases: ScienceDirect, PubMed, and Google Scholar with keywords: preterm, IQ (intelligence quotient), intelligence, cognitive, and school-age children. From 19.256 articles, 12 articles were reviewed that met all the criteria. Based on the results of this review study, there is a relationship between degree of prematurities and IQ level. The more immature and the lower the baby's birth weight, is more likely to reduce the level of intelligence and neurological disorders.
A Research on Handwritten Text Recognition

Over the years we have started accumulating handwritten documents, like pdfs, doc files and numerous other formats for reading, writing and studying. Often we come across situations where we need to utilize the text of those documents. Manually transcribing large amounts of handwritten data is an arduous process that’s bound to be fraught with errors. Automated handwriting recognition can drastically cut down on the time required to transcribe large volumes of text, and also serve as a framework for developing future applications of machine learning. Recognition can be offline or online and both can be implemented in applications to progressively learn based on the user’s feedback while performing offline learning on data in parallel. Some recognition systems identify strokes, others apply recognition on a single character or entire words. Some steps involved in the area(in no particular order): Image preprocessing, Segmentation, Classification &amp; Recognition, Feature Extraction. Finally, some limitations of the direction of current and future research are presented. Keywords: CNN, DTCN, TrOCR, DTCN, RNN
WEB-BASED CHATBOT WITH NATURAL LANGUAGE PROCESSING AND KNUTH-MORRIS-PRATT (CASE STUDY: UNIVERSITAS INTERNASIONAL BATAM)

As an educational institution, there will be many people seeking information about Universitas Internasional Batam (UIB), whether the students, alumni, prospective students, colleagues, nor the wider community. Currently, information services at UIB are still carried out manually by humans or through the website which users need to take several steps by using the text-based search feature. Software Development Life Cycle with Waterfall methodology is used in developing the chatbot. This research uses Web Scraping technique to collect and extract the required data from the official website of UIB before being processed using Natural Language Processing approach and Knuth-Morris-Pratt algorithm. The chatbot was built using Python programming language with the expectation of having ability to answer questions correctly in real-time and ease users to obtain information without visiting college. The data set for chatbot training consists of 193 questions and statements which are grouped into 18 tags. Whilst Black Box Testing technique is implemented for chatbot testing using 100 questions. This web-based chatbot is successfully built with an 86% accuracy rate in answering user questions.
User Demographic Information and Deep Neural Network in Film Recommendation System based on Collaborative Filtering

Research about implementation of deep neural network in recommender system based on collaborative filtering received many attentions recently. One of the major problems in deep neural network based collaborative filtering recommendation system was coldstart problem. Some recent work tried to improve model performance by modifying how the model modelled the interaction between user and item features to generate TOP-N recommendations. This work proposed DNCF (Demographic Neural Collaborative Filtering) model that utilized user demographic information and deep neural network architecture to generate film recommendation system based on collaborative filtering in cold-start problem. NCF model was used as baseline model for model performance comparison. Hit Ratio and Normalized Discounted Cumulative Gain for TOP-10 recommendations were used as evaluation metrics for model performance. Experiment results showed that the proposed DNCF model outperform baseline NCF model by 23,61% in HR@10 and 22,40% in NDCG@10 evaluation metrics. Keywords — collaborative filtering, deep neural network, demographic information, neural collaborative filtering, recommendation system
Multivariate Network Layout Using Force-Directed Method with Attribute Constraints

Graph visualization with proper layout is widely applied to understand the relationship between entities in a complex system and the topological structure information is mainly used. Real-world graphs often have the community structures property which is ignored in many existing graph layout methods. Thus, we propose a multivariate network layout method using the force-directed method with attribute constraints. This method can effectively take into account the hierarchical structure, connection strength, and quantitative comparison between communities. First, the layout of community centers is generated by a force-directed algorithm in which node count of the community is taken as constraints to enable area balance of community; Second, community force based on node attribute is added in the force-directed algorithm to maintain the community clarity. A visualization system is also developed to allow users to interactively generate community structure-aware layout results. qualitative and quantitative evaluation of the results verifies the usability and effectiveness of the proposed method by comparing it with other methods.
Optimistic Solution for Book Store

In this day and age, mobile phones and applications play a role in every person’s life every day. Book shopping App allows users to check for various books and purchase/rent them. The project consists of a list of books displayed in various models and designs. The online books shopping project brings an entire Books Store online and makes it easy for both buyer and seller to make deals on books.
Crime Reporting and Management System

The goal of the Online Crime Report &amp; Management app is to provide a convenient and secure way for people to submit their complaints to the police. This app can be used by people who are afraid to approach the police station for their complaints. Once a user has registered in the application, he/she can post their complaints. The administrator will then try to resolve the issue and send the appropriate response. KEYWORDS Crime Report, Complaint Registration, Administrator, Local Police Stations, Victims, Criminals.
The Promotion Value of Educational Evaluation Research Center in Inclusive Education

Emphasis on ensuring inclusive, equitable quality education and promoting lifelong learning opportunities for all is well document under Sustainable Development Goal (SDG) 4. The underlying principle behind the 2030 sustainable development is the recognition of human dignity and the quest of not leaving anyone behind. However, unless marginalization and discrimination of some groups of people based on such aspects as ethnicity,race, sex, religion or disability are eliminated through embracing inclusive practices, we are far from achieving SDGs. Kenya Institute of Special Education conducted a national survey on children with disability and special needs in education that estimated disability prevalence among children at 11.4%. One of the objectives of the survey was to determine the quality of programs and services offered by educational assessment centres (EARCs). This survey used cross-sectional research design.Primary data was sourced from head teachers, teachers, Educational Assessment and Resource Center officers and non-governmental organizations and partners in education. Questionnaires, checklists and interviews were used to collect data.Findings revealed an imbalance in thedistribution of staff in EARCs whereas; themajority had training in the four traditional disability areas posing a challenge in the assessment of other disability areas. Though EARCs are aware of inclusive practices,data revealed that they did not give inclusion the first priority during child placement option.The study concludes that there is need to strengthen and empower assessment offices in support of inclusive practices, enhance specialized training on functional assessment and the value of inclusive practices in decongesting special schools.
Augmented Reality Based Fitness Website: ProFIT-AR

The novel coronavirus (COVID-19) outbreak was declared as a global pandemic by the World Health Organization on 11th March 2020. COVID-19 spread has its origin from the wet markets of Wuhan city of China. With corona virus spreading in the world, everything has changed its track and went online, whether it is work or fun. So in this race, how can the fitness industry be left alone in the market? Workout from home started trending on every social media platform and people started performing exercises at home. Often, it happens that when someone starts something new without any proper guidance, then there are high chances of getting backfalls. Hence, so is the case with working out from home. Workout from home can lead to many dangerous injuries if not done under the proper guidance and safety measures. But this is just not one problem of concern. Another point to be noted is that users tend to leave workout at their home due to lack-lustered interaction with the website. We have fulfilled this gap by introducing the technology of Augmented reality in the picture Key Words: Posture detection, Rep counts, Augmented reality, Workout from Home
Cybersecurity of WordPress Platforms. An Analysis Using Attack-Defense Trees Method

The aim of this paper is to analyze the techniques for securing a Content Management System, highlighting the vulnerabilities of the WordPress platform. The study includes qualitative and quantitative analyzes on the resilience of CMS platforms to cyber-attacks, simulated by the AD Trees methodology. The data provided by CVE is used to build possible attack scenarios that could compromise the cybersecurity of the web application. At the end of the paper, in order to minimize the impact of these attacks, solutions are proposed as sets of countermeasures within the Attack‑Defense Trees.
Expert –System: A Web-Based System for Patient Specific Drug Interaction Testing

The information system presented in this article makes drug selection easier and indicates possible interactions with existing medication. In the event of an interaction with multiple medication, the consumer is specifically warned. In addition, special algorithms determine alternative drugs with the same effect in order to avoid the undesired interaction.
From the Borderless Digital Chambers to Prison’s Four Walls after Committing Personal Data Unlawful Acts

This paper represents a concise comparative presentation of how and why can imprisonment be a penalty in different legal systems when committing cybercrimes that affect personal data. Yet, since personal data is closely linked to cybersecurity (especially in cases of non-compliance with regulatory standards), the subject matter herein will focus on the subsequent relationship between personal data and cybercrimes, but from a peculiar perspective – how impactful unlawful acts can be so as to result in criminal convictions. It relies, therefore, on a symbiosis of acknowledging where personal data sits in the cybercrimes’ ecosystem and applying this to the most threatening cases identified by global regulators. In this context, the current research is contingent on mirroring the major legal models worldwide, based on which these offences are sanctioned with imprisonment. It is utterly thought-provoking to analyse how the contrasting legal provisions are driven by a common goal: preventing cybercrimes or, as the case may be, minimising their consequences. All these differences have, essentially, homogenous values at a foundational level. Particularly, that foundational level is the research core of this paper.