Reviewerly/exHarmony huggingface dataset:
HARNESSING PEDAGOGICAL AFFORDANCES OF ONLINE TOOLS TO ENHANCE GRADE 11 PHYSICAL SCIENCES LEARNERS’ CONCEPTUAL UNDERSTANDING OF ELECTROMAGNETISM

This study explored the utilization of online tools to enhance grade 11 Physical Sciences learners' conceptual understanding of Electromagnetism.The empirical investigation adopted a quasi-experimental design and involved purposively selected grade 11 Physical Sciences learners as participants.Quantitative data was collected through the administration of a questionnaire.The questionnaire was administered as a pre-test and post-test with a view to evaluate the efficacy of the utilization of online tools as an instructional intervention.Findings emanating from the study demonstrated that the utilization of online tools served to enhance grade 11 Physical Sciences learners' conceptual understanding of Electromagnetism as a key knowledge area.There is a crucial need for teachers to fully embrace pedagogic innovation to improve learner outcomes in Physical Sciences teaching and learning.Theoretical implications for pedagogic innovation are discussed.
Improved Phishing Detection using Ensemble Models in Machine Learning

Abstract: A phishing attack is one of the simplest ways to obtain sensitive information from unaware, innocent users. The main motive of the phishers is to acquire critical information like usernames, passwords, and bank account details using a malicious link that looks genuine. Users with sound technical knowledge might be able to identify these links quickly, but this will cause harm to naive users, leading to a loss of privacy and assets. There are techniques to detect spam, such as content-based and the sender's reputation-based detection. This project aims to present an approach to detect phishing attacks based on the URL and by applying Machine Learning.
Feed Selection Decision Support System The Best Cat uses the Analytical Hierarchy Process Method

With the development of technology and increasingly rapid competition in the business world, just opening a Cat Shop is not enough. To win the competition, technology and research are used to overcome the problem of consumers who are confused about choosing the type of food for their cats, because there are many types of cats and cat food available. circulating in the market today.. Cat Shop is a business that provides various kinds of pet needs, such as pet food, animal equipment and animal accessories. The Cat Shop sells various products to the public. Cat Shop currently has a share of the pet market in big cities in Indonesia. This decision support system research uses the Analytical Hierarchy Process (AHP) method. The AHP method is a method that is widely used in the case of weighting criteria and prioritizing each criterion. After this research was applied, the results were able to answer the information needs regarding the selection of the best cat food, it has been able to answer and assist in solving the problem of choosing the best cat food purchase
Sistem Pendukung Keputusan Rekomendasi Objek Wisata Di Kabupaten Berau Menggunakan Metode Fuzzy SAW

Berau Regency is an administrative area in East Kalimantan Province. Berau Regency has been named the area with the most and most beautiful tourist attractions in East Kalimantan, both in terms of culinary, culture, customs, and even natural tourism. Of course this becomes a deja vu if there is no special tourism information system to determine decisions for choosing tourist attractions based on tourist backgrounds.In science there is a system called Fuzzy Multi Attribute Dicision Making (FMADM) or commonly known as; with Simple Additive Weighting (SAW). This system can be an option to get a solution for the selection of tourist attractions in Berau Regency. With this support system, it is hoped that it can help the Berau Regency Government in managing tourism in Berau Regency.In the decision to choose tourist attractions, it is necessary to classify the criteria needed by tourists as well as similar tourism alternatives. With the Fuzzy SAW method, it is expected to be able to help tourists to get information and recommendations for the desired tourist attractions in Berau Regency.The system of this method is useful for processing data on tourist criteria, until finally producing a recommendation of the expected tourist attractions. It is also hoped that this Decision Support System can help the Berau Regency Government, especially the Berau Regency Tourism and Culture Office.
Effective Skolemization

We define a new relatively simple Skolemization method called atomic Skolemization which allows for a non-elementarily bounded speed-up of cut-free LK-proofs and resolution proofs w.r.t. the standard Skolemization and Andrews Skolemization.
IMPROVING STUDENTS’ VOCABULARY THROUGH SPELLING BEE GAME

This study looked into whether or not using a spelling bee game may help pupils enhance their vocabulary mastery. The goal of this study is to see if students' vocabulary improved after playing the Spelling Bee Game. The quantitative method is used to conduct this study. This study uses a pre-experimental design with a single group pre test and post test. The subject of this research is first grade of SMP Anugrah Tondano consists of 10 students. The tests are in the forms of arrange random words, multiple choice and connecting pairs. The results of this study reveal that the mean post-test scores are higher (75) than the pre-test scores (46). Based on the findings, it can be stated that using the Spelling Bee Game to boost students' vocabulary is helpful since it stimulates students' learning and spelling of nouns.
Language Preference of the Indonesia Economic Subjects' toward Product Labeling

The shift of Indonesian Language to Foreign Languages also applies to the labeling of selling products in Indonesia. Economic actors have the choice of maintaining Indonesian language or using foreign language when labeling the product they are going to sell. This study aims to see the language attitude of economic actors towards the products to be marketed. In addition, this study was conducted to see the number of foreign and Indonesian languages used in the country when labeling the products they sell. This research method uses descriptive methods to make descriptions, descriptions, or paintings systematically, factually and accurately. The result obtained is that economic actors prefer to label products in foreign languages rather than Indonesian. From the data found, there are 50 product labels. There are 33 domestic products labeling their products in foreign terms and only 17 domestic products label their products in Indonesian terms.
A Framework for Distributed Estimation with Limited Information and Event-Based Communications

In this paper, we consider the problem of distributed estimation in a sensor network, where multiple sensors are deployed to estimate the state of a linear time-invariant Gaussian system. By losslessly decomposing the Kalman filter, a framework of event-based distributed estimation is developed, where each sensor node runs a local filter using solely its own measurement, alongside with an event-based synchronization algorithm to fuse the neighboring information. One novelty of the proposed framework is that it decouples the local filters from the synchronization process. By doing so, we prove that a general class of triggering strategies can be applied in our framework, which yields stable distributed estimators under the requirements of collective system observability. Moreover, the developed results can be generalized to achieve a distributed implementation of any Luenberger observer. By solving a semi-definite programming (SDP), we further present a low-rank estimator design to obtain the (sub)optimal gains of a Luenberger observer such that the distributed estimation is realized under the constraint of message size. Therefore, as compared with existing works, the proposed algorithm is implemented with limited information since it enjoys lower data size at each transmission. Numerical examples are finally provided to demonstrate the efficacy of the proposed methods.
Pre-Trained Model-Based Automated Software Vulnerability Repair: How Far are We?

Various approaches are proposed to help under-resourced security researchers to detect and analyze software vulnerabilities. It is still incredibly time-consuming and labor-intensive for security researchers to fix such reported vulnerabilities due to the increasing size and complexity of modern software systems. The time lag between the reporting and fixing of a security vulnerability causes software systems to suffer from significant exposure to possible attacks. Very recently, some techniques propose to apply pretrained models to fix security vulnerabilities and have proved their success in improving repair accuracy. However, the effectiveness of existing pre-trained models has not been systematically compared and little is known about their advantages and disadvantages. To bridge this gap, we perform the first extensive study on applying various pre-trained models to automated vulnerability repair. The experimental results on two vulnerability datasets show that all studied pre-trained models consistently outperform the state-ofthe- art technique VRepair with a prediction accuracy of 32.94 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\sim$</tex-math></inline-formula> 44.96%. We also investigate the impact of three major phases (i.e., data pre-processing, model training and repair inference) in the vulnerability repair workflow. Inspired by the findings, we construct a simplistic vulnerability repair approach that adopts the transfer learning from bug fixing. Surprisingly, such a simplistic approach can further improve the prediction accuracy of pre-trained models by 9.40% on average. Besides, we provide additional discussion from different aspects (e.g., code representation and a preliminary study with ChatGPT) to illustrate the capacity and limitation of pre-trained model-based techniques. Finally, we further pinpoint various practical guidelines (e.g., the improvement of fine-tuning) for advanced pre-trained model-based vulnerability repair in the near future. Our study highlights the promising future of adopting pre-trained models to patch real-world security vulnerabilities and reduce the manual debugging effort of security experts in practice.
STUDENTS’ PERCEPTION ABOUT THE EFFECT OF SCHOOL LIBRARY IN THEIR READING COMPREHENSION ACHIEVMENT

The aims of this research was to find out whether or not, the Students’ Perception about School Library a Affects their Reading Comprehension Achievment. This research was conducted at SMA NEGERI 1 LANGOWAN. The subjects were 30 students’ of XI grade, which consisted of 25 sample. The instrument for data collection was taken from student’s questionnaire based on Likert scale. The results showed that Since Pearson r (1.00) is bigger than r(table) (0.361) at p. 0.05 and df 28, it can then be stated that the null hypothesis (ho) is rejected, and alternative hypothesis (ha) is accepted at p 0.05 and df 28. This, in other words, means that students’perception about school library in affecting their reading comprehension are positively correlated. Thus, in turn, students who are predicted to have high reading comprehension,according to the researcher that the influence of the school library is very high to develop students' reading comprehension. In this case the researcher considers that the relationship between the school library and students’ is very important.That means there was a positive correlation between students’ perception about school library and their reading comprehension achievment.
STRUGGLE AS SEEN IN OWENS’ WHERE THE CRAWDADS SING

The purpose of this study is to reveal the struggles in the novel Where The Crawdads Sing by Delia Owens (2019). In conducting the study, the writers delimit only in analysing the struggles of the main character in the novel. The design of this study is qualitative method because all of the data are in the form of words and quotations rather than numbers and the approach used Reader-Response, It focuses on the process of struggles of the main character that produces the result. The writers find that three forms of struggle. They accept the facts of life, achieve the goals, and get affection. The implication of this study is to enrich the knowledge of the writers and the readers about the main character’s struggles that reflected in Owens’ Where The Crawdads Sing. Moreover, it can be a reference for the students of English Department who are attracted to observe the similar research. Therefore, this research can conclude the novel, Where The Crawdads Sing, to show the forms of the struggle of the main character.
A recommendation system for online social semantic network using knowledge based, content based and collaborative filtering

Recommendation systems are a very popular service whose accuracy and sophistication keeps increasing every day. Yet current systems pose a limitation on personalized user recommendation, which we wish to improve. We are developing Content-Based, Collaborative Filtering and Knowledge-Based models and we wish to find the most appropriate approach to build restaurant recommendation systems. We followed steps that involved a pipeline to process reviews of restaurants obtained from a widely used online network of zomato users (India’s largest restaurant service) and calculate ratings of restaurants from reviews. Using a machine learning technique, it continuously analyses user restaurant visit patterns.
Application of Expert Systems to Determine I'rob Signs in a Kalimah Using the Forward Chaining Method

The existence of technology that is increasingly developing the teaching and learning process will be more efficient and maximized, by presenting an effective and fun learning method so that students or students will be more enthusiastic in learning. The Nasyrul Ulum Islamic Boarding School is one of the salafy Islamic boarding schools located in Modangan village, Nglegok District. In the Islamic boarding school environment, students are required to be able to read the yellow book or kitap without harokat. To find out the harokat, students must first understand the knowledge of nahwu so that we need a system that can help easily understand the science of nahwu, especially the signs of I'rob. The results to be obtained from this research are in the form of an expert system application to determine the I'rob sign by applying the Forward Chaining method. This application is expected to help and make it easier for students and application users to determine or understand the signs of I'rob in a sentence. From the results of expert validation testing by testing 51 rules and with 10 case examples, 100% valid data was obtained from experts who were familiar with the knowledge of nahwu chapter ‘alamatil I'rob by paying attention to the adjustment of certain explanations.
Perbandingan Metode Pembobotan TF-RF Dan TF-ABS Pada Kategorisasi Berita Di BDI Denpasar

BDI Denpasar is a government agency tasked with carrying out training and education for human resources of animation, crafts and art. BDI Denpasar in managing news classes in the Kabar Insan Oke service still uses conventional methods. Therefore an automatic news classification module is needed. This study was made to compare the performance level of news classification at BDI Denpasar using K-NN classification with the TF-RF and TF-ABS term weighting methods. Methods that have a high level of performance will be implemented in the news classification module. This research was carried out by collecting news documents, text preprocessing, term weighting, classification, model validation and testing. The K-NN classification uses the n_neighbhor (k), namely k=3, k=5, k=7 and k=9 using a dataset of 324 documents containing 7 classes taken from BDI Denpasar website. Based on the results of the tests performed, TF-RF method obtained a higher performance at k=5 with an accuracy of 71% with a precision of 73% and a recall of 71%. TF-ABS method with the highest performance value is found at k=9 which obtains 70% accuracy, 63% precision and 70% recall. So the method that will be implemented in the news classification module is TF-RF at k=5 with an accuracy of 71% with a precision of 73% and a recall of 71%.
Web-Based Library Application With Brute Force Algorithm Implementation In The Search Module

The library is a means that can support the student learning process so that it must be well organized. However, the data management in the library of SMK Negeri 1 Bakung is still in the books. Data management includes visitor data, book data, and loan transaction data. Besides, students take a long time when looking for the books they need and cannot find out what books are available if they do not come directly to the library. Based on the problems that have been mentioned, a web-based library application is needed. The application is created using the Codeigniter Framework and the Mysql database as data storage by applying the brute force algorithm in the search module. Test results from 10 trials using several search keywords, The brute force algorithm gets an average running time of 0.1631 seconds. Search time speed is influenced by the number of words entered and the form of words in Indonesian and English.
GO GOLD GENERATION WEB-BASED QUIZ FOR TEACHING AND LEARNING GRAMMAR IN SENIOR HIGH SCHOOL: RESEARCH AND DEVELOPMENT

&#x0D; This research aims to establish the Go Gold Generation (3G) Web-Based Quiz for teaching and learning grammar that focused on simple past tense, present perfect tense, and past continuous tense, to discover the appropriateness of 3G web-based quiz for teaching and learning grammar, and to find out the teachers’ and students’ responses toward the use of 3G web-based quiz for teaching and learning grammar to the tenth-grade students. The researchers adapted Sugiyono’s research and development framework as a reference. The adaption has been formulated into three phases, which were: foundational research; design and development; and perception test and finalization. The research result showed that the validation score was 89,73% included in the “Very Valid” category. The result of teachers’ and students’ responses score was 89,09% included in the “Very Good” category. It means that a 3G web-based quiz can be applied as an alternative media for teaching and learning grammar to the tenth-grade students in senior high school. Furthermore, the final product of the model consisted of 3G Web-Based Quiz, guidebooks for teachers and students, and assessment guidelines.
EVALUASI SISTEM INFORMASI MANAJEMEN DAERAH – BARANG MILIK DAERAH MENGGUNAKAN FRAMEWORK ITIL PADA AREA SERVICE OPERATION DENGAN PENDEKATAN FRAMEWORK CMMI-SVC

In recent years , the Sistem Informasi Manajemen Daerah (SIMDA) – Barang Milik Daerah (BMD) server in Denpasar City had been down several times. These conditions can increase the risk of incidents in service delivery that have not been detected. In this study, an evaluation of SIMDA-BMD was carried out using the Information Technology Infrastructure Library (ITIL) framework version 3 especially the service operation area combined with the Capability Maturity Model Integration for Services (CMMI-SVC) framework with the goal approach. Users and administrators of SIMDA-BMD participated in the assessment as respondents. The questionnaire used a likert scale, then tested for validity and reliability. Technical data were obtained by interviewing the SIMDA-BMD managers. The data was assessed using the capability level of the CMMI-SVC framework. The results is one process area already meeting the target and one process area has one gap level. Recommendations according to the CMMI-SVC framework are prepared based on the requirements for meeting the target capability level. Recommendations in the ITIL framework are carried out through mapping critical success factors and key performance indicators. The resulted is one recommendation from CMMI-SVC framework and six recommendations from ITIL framework that validated using Focus group discussion.
IMPLEMENTASI GOOGLE DRIVE CLOUD STORAGE PADA SISTEM REPOSITORI AL-DARING

One of the steps of accreditation for institutions and study programs during the epidemic is online assessment (AL-Daring). The availability of suitable information and communication technologies to enable the AL-Daring process is one of the consequences of AL-Daring. Supporting data must be provided in the form of a soft copy in the University Information System that assessors may access appropriately. How the Information System can help Study Program Managers and Accreditation Applicants complete documentation more quickly and efficiently is also crucial. It's also important to note that each Study Program and Study Program Manager will upload a large number of papers of various types and sizes. As a result, various factors that affect the quality of information systems, such as data and storage space availability, ease of access, and timeliness, must be satisfied. The AL-Daring Information System is being developed using agile methodologies in the aim of completing it faster so that it can be utilized right away and adapt to user needs. To perform successfully, this system was built using the Codeigniter framework and Google Drive Cloud Storage as a document storage medium via the Google Drive API service. SUS rates the repository system an excellent score on an adjective rating claiming the system is very useful and well-received by users.
A Natural Language Processing Model Based on Pre-trained Deep Learning Models

Natural language processing (NLP) is a field of artificial intelligence (AI) whose primary purpose is to give computers the ability to understand written and spoken language in a human-like manner, mainly by creating computers that can read and respond to information in a human-like manner and then generate their text or speech as a response. However, the process of natural language processing may encounter the problem of inefficiency, so how to make the process of natural language processing more efficient is a direction that is currently being studied. This paper aims to derive a set of programmable rules from helping NLP describe human language by combining computational linguistics and statistics, machine learning and deep learning models. In this way, when text and speech data are combined, computers can understand human language in the form of text or audio data, such as the intent and emotion of the speaker or author. This paper introduces various types of deep learning systems used in NLP analysis and research and describes a pre-training-based approach to natural language processing. The final findings can improve operational efficiency, increase employee productivity, and streamline mission-critical business operations.
The autobiography and the Story of Lucha Libre: Didactic Resources for Communication in High School during Confinement

This essay recovers the experiences and achievements of the work carried out during 2020 and 2021 with students in the last year of high school at the College of Sciences and Humanities Azcapotzalco campus, of the National Autonomous University of Mexico, based on the autobiography and the story of lucha libre Put those little hands on the keyboard by Emiliano Pérez Cruz, as teaching aids to address issues related to self-knowledge and communication, specialized knowledge in Communication Workshop I, optional subject at the CCH. Through the socialization of the results, it is intended to provide elements that allow us to recognize and explore the possibilities that, during the confinement caused by the Covid-19 pandemic, these tools had for the online work carried out as a teacher in the Communication Workshop I, in congruence with the Educational Model and the Curriculum in force at the CCH.