Reviewerly/exHarmony huggingface dataset:
Evaluating Web Scraping Performance Using XPath, CSS Selector, Regular Expression, and HTML DOM With Multiprocessing Technical Applications

Data collection has become a necessity today, especially since many sources of data on the internet can be used for various needs. The main activity in data collection is collecting quality information that can be analyzed and used to support decisions or provide evidence. The process of retrieving data from the internet is also known as web scraping. There are various methods of web scraping that are commonly used. The amount of data scattered on the internet will be quite time-consuming if the web scraping is done on a large scale. By applying the parallel concept, the multi-processing approach can help complete a job. This study aimed to determine the performance of the web scraping method with the application of multi-processing. Testing is done by doing the process of scraping data from a predetermined target web. Four web scraping methods: CSS Selector, HTML DOM, Regex, and XPath, were selected to be used in the experiment measured based on the parameters of CPU usage, memory usage, execution time, and bandwidth usage. Based on experimental data, the Regex method has the least CPU and memory usage compared to other methods. While XPath requires the least time compared to other methods. The CSS Selector method is the smallest in terms of bandwidth usage compared to other methods. The application of multi-processing techniques to each web scraping method is proven to save memory usage, reduce execution time and reduce bandwidth usage compared to only using single processing.
Iris Image Watermarking Technique for Security and Manipulation Reveal

Providing security while storing or sharing iris images has been considered as an interesting research topic and accordingly different iris image watermarking techniques have been presented. Most of the available techniques have been presented to ensure the attachment of the secret data to their related iris images or to hide a logo which can be used for copyright purposes. The previous security techniques can successfully meet their aims; however, they cannot reveal the manipulations in the iris region. This paper presents an iris image watermarking technique that can provide security and reveal manipulations in the iris region. At the sender side, the proposed technique divides the image into two regions (i.e., iris region and non-iris region) and generates the manipulation reveal data from the iris region then embeds it in the non-iris region. At the receiver side, the secret data is extracted from the non-iris region and compared with calculated data from the iris region to reveal manipulations if exist. Different experiments have been conducted to evaluate the performance of the proposed technique which proved its efficiency not only in providing security but also in revealing any manipulations in the iris region.
Smart Trash Klasifikasi Sampah Otomatis Dengan Sensor Proximity Berbasis Arduino

Garbage is still a serious problem in Indonesia. Because, the impact can not only damage the environment, but also threaten human health. Garbage is divided into 3 types, namely organic, inorganic and metal which can be decomposed or not biodegradable and is considered no longer useful so that it is disposed of in the environment. Garbage sorting is usually done manually by a janitor before the waste is disposed of to the TPA for re-sorting. The purpose of waste sorting is to facilitate further waste management. This study uses a flowchart to assist the process of analysis and problem solving in research. Flow chart (Flowchart) is a graphical picture consisting of symbols. the results of the research in making a tool in the form of Smart Trash Automatic Garbage classification with Arduino Based Proximity Sensors are. This tool is made to facilitate automatic waste sorting. People who want to dispose of trash no longer have to open and close the lid of the trash can because the lid of the trash can open and close automatically.The working system of this automatic waste classification tool is that when waste is made of organic, inorganic and metal materials, it will be classified automatically into the trash bins that have been prepared. The waste sorting system 2 can only accommodate a maximum waste weight of 100 grams and the waste sorting place 1 is at least 6 grams.&#x0D;
Development of Ancient Education System in India

The ancient Indian educational system, which aims to enable human existence to enhance social, moral, and spiritual elements of lite, as well as personal economic conditions, is built on the study of the nature of knowledge and philosophical traditions. People are interested in bettering human existence as well as realizing Tamaso Ma Jyotirgamaya, the "higher truth" that leads from darkness to light. As a result, education is not just a way to make money but also a way to advance humanity and improve society. In order to adapt their lives to the super-smart world and the utilisation of spiritual force, our Indian sages or masters are dedicated to doing so. In Chitti Vrittinirodha, the ultimate purpose of education is mentioned (controlling spiritual activities related to the so-called materialist world). Because of this, education is a crucial tool for directing people's potential in a positive direction and enabling them to live in a society where dignity is valued. The Indian government's most recent "National Education Policy-2020 (NEP-2020)" makes numerous recommendations for combining the modern educational system with the traditional one. This policy's guiding premise has always been the illustrious legacy of ancient and timeless Indian knowledge and thinking. Pursuit of knowledge (Jnan), wisdom (Pragyaa), and truth (Satya) have long been seen as the highest aspirations of mankind in Indian philosophy and thought.
Analisis Perbandingan Optimizer pada Arsitektur NASNetMobile Convolutional Neural Network untuk Klasifikasi Ras Kucing

Searching for research titles and abstracts is made easy with these keywords. Artificial Intelligence (AI) technology is currently developing very rapidly, there are various applications of AI that we can find in everyday life around us without realizing it. AI technology now allows us to work with computers more easily, just as we can know the type of cat breed and other information. There is deep learning that works by imitating the human brain or artificial neural networks to enhance current machine-learning capabilities. Deep learning can recognize and classify image categories. This study aims to determine the optimal optimizer in the classification of cat breeds. With the classification of cat breeds, cat keepers can find out the type of cat breed so they can find out how to care for it, the activities, and the personality possessed by the cat. The use of algorithm method used in this study uses the CNN algorithm with the NASNetMobile architecture. The dataset contains 840 images which are divided into 4 classes and divided into 588 training data, 168 testing data, and 84 validation data. for the RMSprop optimizer with a learning rate of 0.0001 to get an accuracy of 89.88%, this result is the highest among the others. Meanwhile, the SGD optimizer gets an accuracy of 78.57 &amp; this result is the lowest. So it can be concluded that the architecture and optimizer are very important and influential in improving the performance of the model.
Reasoning with Expectations About Causal Relations

Abstract Reasoning is not just following logical rules, but a large part of human reasoning depends on our expectations about the world. To some extent, non-monotonic logic has been developed to account for the role of expectations. In this article, the focus is on expectations based on actions and their consequences. The analysis is based on a two-vector model of events where an event is represented in terms of two main components – the force of an action that drives the event, and the result of its application. Actions are modelled in terms of the force domain and the results are modelled with the aid of different domains for locations or properties of objects. As a consequence, the assumption that reasoning about causal relations should be made in terms of propositional structures becomes very unnatural. Instead, the reasoning will be based on the geometric and topological properties of causes and effects modelled in conceptual spaces.
Developing Flashcards Learning Media to Teach Grammar in Recount Texts for Tenth Grade

Language plays a crucial part in the foundation of communication in daily life and academic activity. Learning an additional language such as English in school is very important. Mastery of English grammar is required to compose a word or sentence in English. It takes grammar proficiency to create words or phrases in English. Students in class X IIK 2 MA Bustanul Muta'allimin comprise the study's sample population. Most of the students in this class had trouble putting simple sentences together. According to the results of the needs analysis, the result of the questionnaires, 77% of the students had difficulties constructing their simple sentences in English. Furthermore, 80% of the 13 samples indicated they wished to learn using engaging media. This research was conducted aiming to develop learning media in teaching grammar. The ADDIE model design, created by Dick and Carry in 1996, is used in this research process, known as research and development (R&amp;D). There are five steps in this development that are following the ADDIE model, that is Analysis, Design, Development, Implementation, and Evaluation. The result of media expert validation and material expert validation achieved scores of 80.26% and 68.05%, respectively. A score of 76% was obtained when the questionnaire about using learning media was completed by student respondents. Flashcard media have a level of validity that makes them appropriate for usage, according to the result of expert validation and student response. As a result, this learning media is used effective tool for increasing students' interest in studying.
An Analysis of Students’ Ability in an Interpretive Listening Course

The world of education currently requires students to study from home through online learning because of the covid 19 pandemic. Online learning has been going on for almost 2 years so learning is no longer face-to-face. Students faced some problems when they should learn interpretive Listening courses through online learning. One of the problems such as; Students got some difficulties understanding the material. This is the concern of researchers to analyze students’ learning outcomes in an interpretive listening course during online learning. This research approach uses descriptive quantitative utilizing descriptive statistics. There were 55 students who participated in this research. The data was gathered by an online test. The test is available at https://www.examenglish.com. The result suggests students had an average of score 69.4 of the total sample, namely 55 students. Then there is a minimum or lowest score of 30 and the highest is 77. This score has conversion based on score of the Common European Framework of Reference for Languages (CEFR). Therefore, it indicated that student learning outcomes in interpretive listening courses can be categorized as advanced. Where they have an advanced level in understanding and comprehending of listening activities. Even with limited facilities and sometimes unsupported internet networks, the learning outcome was running well.
TOEFL PREPARATION TRAINING PROGRAM TO ENHANCE STUDENTS’ TOEFL SCORE

TOEFL is one method of measuring English competence and serving as a standard for anyone studying or speaking English as a foreign language. Because the TOEFL is a globally renowned language test that certifies one's English ability, there is a minimum score to achieve in order to complete a certain requirement, such as a support document to apply for a job, institution, or study abroad. It is challenging for almost all Indonesians to attain a minimum TOEFL score. The purpose of this article was to figure out the effectiveness of the TOEFL preparation training program in enhancing students' TOEFL score. This paper gathered information using action research, which consists of four steps: planning, implementation, observation, and reflection. The TOEFL training program was carried out four times a week for a month, including eight meetings for listening comprehension, ten meetings for structure and written expression, and ten meetings for reading comprehension. The class divided into three classes for each class consisting of 32 students. From the result, it can be seen that there is a significant improvement after the students participated in the TOEFL training program. It showed the students who reach score ≤400 in post-test more than in pre-test and the score increased as expected. On the pre-test, the students who got scores 400-500 was only 3% and after the training was given it increased became 13%. It can be concluded that TOEFL training program not only helps the students to improve their scores but also their comprehension of the TOEFL test
Folklore as Local Culture-Based Material for Improving Students' Reading Comprehension of Narrative Text

The study aims to describe the use of folklore in the classroom to improve students’ reading comprehension and to ascertain the reactions of the students to this approach. 22 students in 9th Grade B at SMPN 1 Sugio are the subjects of the study, which employs the classroom action research methodology. Participation of the students to improve their reading comprehension is the theme of all the key phrases. The teacher needs to inspire the students more, though. Utilizing interviews, observations, and questionnaires, data is gathered. 14.28.% of students met the minimal mastery level criterion, according to their preliminary test results (KKM). The initial cycle was deemed ineffective. Students who attained the bare minimum mastery in The first cycle was deemed a failure. The percentage of students who met the minimal mastery level criterion (KKM) was only 53.57% or 15 students. The second cycle is regarded as a success. It was because 26 students, or 92.85% of the test participants, met the minimal mastery level criterion (KKM). The percentage of students who got up increased with each cycle, and the findings suggested that reading folklore could improve students' reading comprehension. Reading folklore in the classroom raises students' enthusiasm, enjoyment, and participation. Reading the narrative text through folklore can improve students' reading comprehension.
Distributed Optimal Control of Graph Symmetric Systems via Graph Filters

Designing distributed optimal controllers subject to communication constraints is a difficult problem unless structural assumptions are imposed on the underlying dynamics and information exchange structure, e.g., sparsity, delay, or spatial invariance. In this paper, we borrow ideas from graph signal processing and define and analyze a class of Graph Symmetric Systems (GSSs), which are systems that are symmetric with respect to an underlying graph topology. We show that for linear quadratic problems subject to dynamics defined by a GSS, the optimal centralized controller is given by a novel class of graph filters with transfer function valued filter taps and can be implemented via distributed message passing. We then propose several methods for approximating the optimal centralized graph filter by a distributed controller only requiring communication with a small subset of neighboring subsystems. We further provide stability and suboptimality guarantees for the resulting distributed controllers. Finally, we empirically demonstrate that our approach allows for a principled tradeoff between communication cost and performance while guaranteeing stability. Our results can be viewed as a first step towards bridging the fields of distributed optimal control and graph signal processing.
2022 IEEE International Conference on Systems, Man, and Cybernetics [Conference Report]

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
Governança eletrônica nas instituições de ensino superior públicas de Alagoas

This article aimed to analyze electronic governance in public Higher Education Institutions (HEIs) in Alagoas, particularly regarding the level of publicizing the information available on their websites. The electronic portals of the Federal University of Alagoas (Ufal) were analyzed; the Federal Institute of Alagoas (Ifal); from the University of the State of Alagoas (Uneal) and from the University of Health Sciences (Uncisal) regarding the electronic governance of their information made available to the public, using the methodology of Biderman and Puttomatti (2011), in which scores are established and a ranking among HEIs. The research results showed that federal HEIs have a higher level of electronic governance: Ufal has 95.80%, followed by Ifal, which has 86.70%, while state HEIs have a lower score in the analyzed index, which demonstrates the need to improve the detailing and availability of information on their websites, so that civil society can monitor the use of resources more effectively.
E-Voting System using Blockchain Technology and Fingerprint Authentication

Increasing digital technology has revolutionized the life of people. Unlike the electoral system, there are many conventional uses of paper in its implementation. The aspect of security and transparency is a threat from still widespread election with the conventional system (offline). General elections still use a centralized system, where in one organization manages it. Some of the problems that can occur in traditional electoral systems is with the organization that has full control over the database and system. It is possible to tamper with the database of considerable opportunities. Block chain technology is one of solutions, because it embraces a decentralized system and the entire database are owned by many users. Block chain itself has been used in the Bitcoin system known as the decentralized Bank system. By adopting block chain in the distribution of databases on evoting systems one can reduce the cheating sources of database manipulation. This project aims to implement voting result using block chain algorithm from every place of election. Unlike Bitcoin with its Proof of Work, this will be a method based on a predetermined turn on the system for each node in the built of block chain.
VideoTraces: Rich Media Annotations for Learning and Teaching

This paper describes a computer-based video annotation environment with a variety of uses for learning and teaching. The VideoTraces system allows users to capture and annotate digital video, thus representing their ideas in a unique way. The system is based on research about the embodied nature of human knowledge and collaborative learning. In this paper, we report on two pilot uses of the system in very different settings (a science museum and a university dance course). We describe a range of ways in which people represent their ideas with VideoTraces, and argue that the system may be a general tool to support collaborative learning.
THE EXTENT OF THE UTILIZATION OF TEACHERS ON THEIR LEARNING DERIVED FROM THE WEBINARS ATTENDED DURING THE NEW NORMAL

In the competitive world that we are living in, upgrading our skills and knowledge is very much relevant. Despite pandemic restrictions, teachers still strive to adopt a new normal education through different webinar series. This study aimed to bridge the gap between the importance of different institutions' webinars and their utilization being extended by the teachers. This study used a quantitative type of research to quantify and analyze the difference between the extent of utilization of teachers on their learning derived from webinars attended during the new normal and the profile of the respondents. Respondents of this study were 30 teaching personnel from Sto. Domingo Elementary School. The result of the study showed that teachers always utilized their learning derived from the webinars they attended in teaching strategy, assessment of learning, and school operation; however, they often utilized their learning in instructional materials preparation. It also showed that there is no significant difference between the profile of the respondents and their extent of utilization of learning derived from webinars they attended.
PELATIHAN PEMBUATAN BIOPORI SEBAGAI PENANGGULANGAN BANJIR GENANGAN DI KECAMATAN PEUSANGAN KABUPATEN BIREUEN

The theme of community service is the application of biopore techniques in the yard of the Peusangan District Office, Bireuen Regency. This activity aims to reduce puddles caused by heavy rains and large amounts of water. Activities are carried out in 3 stages, namely preparation, implementation and reporting. The implementation method is done by lecture (question and answer) and demonstration. The results achieved from this service are (1) public understanding and awareness of the importance of keeping the environment clean, (2) application of biopore techniques to reduce waterlogging due to rain, and (3) creating a community that cares about the environment through biopori manufacturing activities. Sustainability of activities carried out with continuity by lecturers and students of the Masters Study Program in Natural Resources and Environmental Management Postgraduate Program at Al-Muslim University.
Development of Game-Based Learning Media on Islamic Religious Education Materials

This study aimed to determine the level of feasibility, practicality, and effectiveness of game application learning media on Islamic Religious Education materials. The research method used is the Research and Development (R&amp;D) approach of Brog and Gall mode. The subjects in this study were students of class X MAS al-Washliyah Stabat, while the object of this research was the development of game-based learning media. The data collection instruments used were observation and questionnaires. The results showed that the feasibility level of game application learning media according to material experts was categorized as valid with a score of 86, media experts were categorized as very valid with a score of 91 and linguists were also categorized as valid with a score of 83 so that a cumulative score of 86.7 was obtained with a valid category. The level of practicality of the game application learning media was carried out to 20 students of class X on the learning material of aqidah morals who were experts in the field of Islamic education, the results obtained were responses in the use of media with honest method that was beautiful as a form of application of the commendable nature contained in the moral material obtained a score of 94,2. For the development of effective application-based learning media from the application of this game media, namely, the material presented is easier to understand, teachers from the schools studied also considered this media suitable to be applied because it is more practical.