Reviewerly/exHarmony huggingface dataset:
RANCANGAN SISTIM INFORMASI AKADEMIK DENGAN MENGGUNAKAN FRAMEWORK.NET DAN FRAMEWORK CODEIGNITER PADA SMA MARIE JOSEPH.

ABSTRACTThe functions and users of technology continue to change from only highly educated people and only for large agencies to now it is used by all groups and for many purposes. Information technology is evidence of technological developments. Currentlyinformation technology has become a very common need and is used by many parties because of the many benefits it can get.The definition of a Web application framework according to Budi Raharjo, is a collection of code in the form of libraries and tools that are combined in such a way as to become a framework that facilitates and accelerates the process of developing web applications.This study uses a qualitative descriptive research method based on case studies that describe the actual situation of the subjects studied. The data collection methods used in this study were interviews and direct observation besides that, a deductive literature study served as the basis for the hypothesis.The data used in this study is data from the Marie Joseph school located in Kelapa Gading, North Jakarta, people who usually analyze student grades and absenteeism data, one of which is data on student test scores which are stored manually. So with this related to the application to be built, the end user or user in this case is the principal as admin and teachers, where their involvement in using this application must refer to the user specifications as follows.The Academic Information System application is able to assist teachers in making faster and more accurate reports and The Academic Information System application is capable of protecting easily damaged and lost physical data.Keywords :Framework, Codeigniter, Framework.net
DESIGNING 3D ANIMATION FOR DENTAL HEALTH CARE USING MDLC METHOD

Health education is one of the most important thing to be learn since early age like washing hands and brushing teeth. But because of the lack of education a lot of people in the community don’t know the ways to take care of their own teeth. The consequence of lack of education create a problem for a a lot of people in the community which is tooth ache. The effort that could be done to fix the problem is to create a learning media that is easy to understand and have the capability to share information widely. Because of that, animation 3D become a choice for this research to educate people in the community about dental health and how to take care of it. The method that the researcher use in this research is qualitative interview, researcher will do an interview with a dentist to get information about how to take care of your teeth. After getting the information it will then be used to create animation 3D. the method that is being used to create animation 3D is MDLC (Multimedia Development Life Cycle) which has 6 stages, namely Concept, Design, Material Collecting, Assembly, Testing and Distribution after the animation is finished its being shared to social media such as Youtube and Instagram.&#x0D; Keywords: MDLC, Animation 3D, Qualitative Interview
DESIGN OF INFORMATION MEDIA REGISTRATION FLOW FOR NEW STUDENT ACCEPTANCE OF ICHSAN GORONTALO UNIVERSITY THROUGH INFOGRAPHICS

Ichsan Gorontalo University is one of the favorite private universities in Gorontalo province. Every year there are hundreds of registrants from various regions. The aim of the research is to provide information on registration procedures for prospective new students in a way that is interesting and easy to understand. The lack of social media for prospective new students regarding the steps that must be taken to be officially registered as students at Ichsan University Gorontalo often causes applicants to find it difficult to register. This research uses interview methods with New Student Admissions (PMB) employees, observations of prospective applicants and literature studies on books, journals and research-related literature as reference material. In making this infographic, you use a combination of various media, such as writing and images which are packaged using Adobe Illustrator software to produce a poster or banner. The results of this research are registration flow infographics in the form of posters and banners which can be disseminated online via the New Student Admissions (PMB) website and social media at Ichsan Gorontalo University and can be displayed on the Ichsan Gorontalo University campus.&#x0D;
Tolstoy’s Genius Explored by Deep Learning using Transformer Architecture

Artificial Narrow Intelligence is in the phase of moving towards the AGN, which will attempt to decide as a human being. We are getting closer to it by each day, but AI actually is indefinite to many, although it is no different than any other set of mathematically defined computer operations in its core. Generating new data from a pre-trained model introduces new challenges to science &amp; technology. In this work, the design of such an architecture from scratch, solving problems, and introducing alternative approaches are what has been conducted. Using a deep thinker, Tolstoy, as an object of study is a source of motivation for the entire research.
Fact or Artifact? Revise Layer-Wise Relevance Propagation on Various ANN Architectures⋆

Layer-wise relevance propagation (LRP) is a widely used and powerful technique to reveal insights into various artificial neural network (ANN) architectures. LRP is often used in the context of image classification. The aim is to understand, which parts of the input sample have highest relevance and hence most influence on the model prediction. Relevance can be traced back through the network to attribute a certain score to each input pixel. Relevance scores are then combined and displayed as heat maps and give humans an intuitive visual understanding of classification models. Opening the black box to understand the classification engine in great detail is essential for domain experts to gain trust in ANN models. However, there are pitfalls in terms of model-inherent artifacts included in the obtained relevance maps, that can easily be missed. But for a valid interpretation, these artifacts must not be ignored. Here, we apply and revise LRP on various ANN architectures trained as classifiers on geospatial and synthetic data. Depending on the network architecture, we show techniques to control model focus and give guidance to improve the quality of obtained relevance maps to separate facts from artifacts.
Scientific Literacy Ability Through Speed Reading Methods in Class V Elementary School Students

The teacher has not provided a special method to improve reading skills, the teacher has not measured the students' reading speed and the percentage of understanding of the reading content that the students have achieved, apart from that, the students also think that reading is a very boring lesson Reading is an important skill that can have implications for other literacy skills. However, the average reading ability of SDN 1 Nameng students is still not optimal. The aim of this research is to improve students' reading literacy skills by using the speed reading method on students' science lesson material. The method used in this research is action research which refers to the Kemmis and Mc Taggart model using a spiral system cycle consisting of planning, implementing actions, observation and reflection. The results of class actions in cycle I averaged 72.34% and increased in cycle II with an average of 80.46%. The conclusion of the class action carried out shows that the speed reading method is able to improve students' reading literacy skills in science subject matter
Information Technology Utilization in the Practice of Shamanism during Covid-19"

The Practice of Shamanism Continues into Modern Society. To survive and grow, shamans follow the development of the times and continuously adapt to technological advancements. This research aims to explore the utilization of information technology in shamanic practices during the Covid-19 pandemic. The research method used is qualitative, using modernization theory. The results show the existence of shamanic practices utilizing information technology during the Covid-19 pandemic. The research subjects use features of information technology such as phone calls, video calls, and WhatsApp to provide services to their patients. Information technology is also used for promoting their services; they use Facebook and Instagram for this purpose. The utilization of information technology is done to increase the number of patients and to heal both mild and severe illnesses, including curing Covid-19 patients. Their patients feel comfortable because they do not have to travel far to meet with the shaman. This research concludes that the utilization of information technology has expanded into shamanic practices since the Covid-19 pandemic hit the world.
Multi-User Augmented Reality-Based Aerospace System Design Review Platform

This paper introduces an innovative aerospace system design review platform that integrates augmented reality (AR) technology. Utilizing AR devices such as head-mounted displays, multiple users can participate in virtual meetings where complex aerospace structures―like rockets, satellites, and aircraft―are visualized in three-dimensions (3D). The platform architecture comprises a virtual meeting room connected to a dedicated server for 3D data storage. A dual interface is implemented for both administrators and end-users for efficient data and user management. Unique to this platform is the feature that augments 3D models at the geometric centroid of the spatial distribution of user locations, enhancing the spatial representation and collaborative experience within the virtual environment. The system facilitates more intuitive understanding and decision-making in aerospace design reviews by offering features for the assembly and disassembly of 3D models.
Does Google Bard Understand ‘Itself’?

Generative AIs such as Google Bard are known to be equipped with techniques and grammatical principles of human language based on a large corpus of text and code that allow them to generate natural-sounding language, and also identify and correct grammatical errors in humanwritten texts. Still, they are not perfect language generators, and this paper reports some interesting errors produced by Google Bard regarding interpretation of English plain and reflexive pronouns. Although Google Bard is clearly well aware of how to locate the antecedents for English pronouns, it consistently produces seemingly random interpretation errors when the prompt asks it to create a short story based on test sentences containing a plain or a reflexive pronoun. Since it is quite evident that Google Bard does not have an inborn system of grammatical principles including the binding principles, which are used to account for how human beings deal with pronoun interpretation, other approaches to processing human language need to be considered to explain Google Bard’s errors and the underlying mechanisms leading up to the errors. Thus, a processing account based on the Emergentist approach (O’Grady, 2005) and the Emergentist Reflexivity Approach model (Sperlich, 2020) is adopted, and the two separate levels of processing, that is, sentence processing and pragmatic processing, are introduced to account for Google Bard’s errors and the human language interpretation mechanism that might be underlying. These findings can not only shed light on how generative AIs might be analyzing human language but also contribute to our better understanding of human language and related theories.
ResNet/SVM-Based GNSS Jamming Classification Scheme

본 논문에서는 대표적인 전이학습(transfer learning) 방법 가운데 하나인 ResNet (Residual Neural Network)으로 GNSS (Global Navigation Satellite System) 단순 재밍의 특징(feature)을 추출하고, SVM(Supported Vector Machine)으로 6가지 재밍 중 하나의 재밍을 식별하는 GNSS 재밍 식별 기법을 제안하고, 모의실험을 통해 그 성능을 보인다. ResNet은 사용하는 처리 계층의 깊이에 따라 구분하는데, 본 논문에서는 18, 50, 101 계층을 사용하는 ResNet-18/50/101을 사용해 특징을 추출하고, 10 연접 교차검증한 SVM으로 식별할 때, GNSS 재밍 식별 정확도는 각각 96.33%, 97.25%, 97.50%로 처리 계층이 깊어질수록 식별 정확도가 향상됨을 확인했다.
A Sentiment Analysis and Topic Modelling of The Socio-Economic Registration 2022

Socio-Economic Registration or Regsosek is an activity of Statistics Indonesia (BPS) that aims to collect data related to the profile, social and economic conditions, and welfare levels of all residents in 514 regencies/cities in Indonesia. One indicator of the success of Regsosek 2022 is the response and opinion from the community regarding the activity. The response and opinion can provide an overview of the implementation of Regsosek 2022 so that the picture can be used as a lesson learned to carry out the following population data collection. This study uses several methods to analyze the results of community responses and opinions on Regsosek activities, especially on Twitter social media. The method used in this research is sentiment analysis classification with four techniques: Naïve Bayes, Nearest Centroid, K-Nearest Neighbors, and Support Vector Machine. Then, the performance of the four techniques will be compared. In addition, the topic modeling method will also be used with two techniques, namely Latent Semantic Analysis and Latent Dirichlet Allocation. Data is collected using web scraping techniques. The results obtained from the sentiment analysis classification are that the Nearest Centroid method provides the best results with a relatively high and balanced f1-score value in positive and negative sentiments, which are 59% and 66%, respectively. Moreover, LDA modeling results are better than the LSA method for topic modeling results.
Multimodality in Teaching English for Specific Purposes in Higher Education

The importance of technology in people's daily lives has opened avenues for its effective utilization in various educational domains. Among the online resources available, the YouTube website stands out as an integration option for traditional English lessons, rendering it a significant asset in the field of teaching and learning. This research paper sheds light on a novel approach to teaching English courses by exploring the impactful role of multimodal texts found in numerous YouTube videos when employed as teaching material in classrooms. The study findings assert that YouTube can serve as a valuable resource for incorporating English lessons, aiding comprehension, and enhancing students' overall performance and understanding of English. Moreover, the inclusion of YouTube videos emerges as a prominent factor in facilitating learners' comprehension of business English terminology. The paper emphasizes the need to investigate students' attitudes towards the use of YouTube and the potential concerns they may encounter when using it as a tool for learning business English.
Students’ Anxiety Factors in Speaking English (a Case Study at the Third Year Students of SMPN 9 Parepere)

This study was conducted to determine the type of student speaking anxiety that predominantly occurs in English classes and to determine the factors of speaking anxiety faced by third-year students of SMPN 9 Parepare. The design of this study is descriptive qualitative. This study used questionnaires to determine the type of student speaking anxiety that was dominant in English classes totaling 35 students, then used interviews to determine the factors of student speaking anxiety in English classes by selecting a sample of 7 students from each class. Samples are taken using random sampling. The data analysis technique used is qualitative data analysis consisting of data reduction, data presentation, and conclusion drawing. The results of this study showed that the dominant types of students' speaking anxiety were (1) Communication Apprehension with a score of 1173, (2) Test Anxiety scored 1630, and (3) Fear of Negative Evaluation scored 745. This means that most students worry about failing the speaking test and they still feel worried even though they have prepared well for speaking classes. They also still feel less confident with their appearance in front of the class because of their language competence. The factors of speech anxiety faced by students are influenced by four factors, namely cognitive, psychological, social, and physical factors
Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark

Reservoir computing with cellular automata (ReCAs) is a promising concept by virtue of its potential for effective hardware implementation. In this paper, we explore elementary cellular automata rules in the context of ReCAs and the 5-bit memory benchmark. We combine elementary cellular automaton theory with our results and use them to identify and explain some of the patterns found. Furthermore, we use these findings to expose weaknesses in the 5-bit memory benchmark as it is typically applied in ReCAs, such as pointing out what features it selects for or solving it using random vectors. We look deeply into previously successful rules in ReCAs such as rule 90 and explain some of the consequences of its additive properties as well as the correlation between grid size and performance. Additionally, we present results from exhaustively exploring ReCAs on key parameters such as distractor period, iterations and grid size. The findings of this paper should motivate the ReCAs community to move away from using the 5-bit memory benchmark as it is being applied today.
Incrеаsing students ' interest in the subject of phуsics by integrating the science of robotics

The rapid advancement of technology has significantly influenced the field of scientific research and innovation. This includes various areas such as robotics, physics, integration, and the application of knowledge. Designing experiments to test and analyze the impact of these advancements requires careful consideration. This study was conducted in the Almaty region of Kazakhstan, specifically in the 8th grade at Aset Beyseuov schools, to assess the learning outcomes of students in robotics in the 2022-2023 academic year. The participants were selected based on the school's curriculum and were part of a specialized cluster for robotics education. Following the eighth session, a questionnaire based on Torranstyn's study (1979) was administered to gather data on variables such as intrinsic motivation, student engagement, innovations, and career aspirations. As a result, 10 different tests and physics-related robotic construction activities were conducted. Covariance analysis was utilized to analyze the data. The findings of the study revealed a positive correlation between robotics education and students' academic progress in physics.
The use of mobile applications that allow the use of ar technology in understanding the phenomena of physics

The article "The use of mobile applications that allow the use of AR (augmented reality) technology in understanding physics phenomena" provides an overview of modern mobile applications designed to enrich the educational process in the field of physics using augmented reality (AR). In addition, he examines the benefits of using AR, such as increasing student motivation, improving understanding of abstract physics concepts, and creating interactive learning environments. The article provides examples of popular applications that allow you to visualize physical phenomena, conduct virtual experiments and demonstrate complex physical concepts using smartphones and tablets. The article discusses various applications available on the market and provides detailed information about their functionality and benefits. The article considers the following aspects: assessment of the role of AR technology in education and its impact on the educational process in physics; review of popular mobile applications capable of creating interactive and visual educational scenarios in AR to understand the phenomena of physics; analysis of the capabilities and limitations of each application, including accessibility, device compatibility and the quality of the educational content offered. This article gives a complete picture of how modern mobile applications with AR technology can make learning physics fun, interactive and effective, and experimentally proves its effectiveness.
Document Productivity Cycle (Study case of Samudera Raksa Ship Museum)

The study aims to discuss document productivity in the case of the Samudera Raksa Ship Museum. To answer this, the researchers made a productivity document study based on (1) Blasius Sudarsono's axiom, which states that "In the beginning, it was the human will to express what he thought and/or felt;" (2) Sudarsono's thoughts regarding documents as processes and products; (3) Lund’s concept of document creation; (4) Sabine Roux's thoughts on the rhizome concept in the document productivity process; and (5) the concept of museum communication by Yudhawasthi. Based on these theoretical frameworks, an analysis of the document productivity in the case of the Samudra Raksa Ship Museum is outlined with the formulation of research questions: (1) Is the document productivity a cycle? (2) How is the document productivity cycle in the case of the Samudra Raksa Ship Museum? This research was a qualitative study and research data were obtained through an in-depth interview process with three research informants, literature search, and field observation. The informants are (1) curator of the Samudera Raksa Ship Museum and Borobudur Temple area management, (2) the leader of Digital Technology Development of the Samudera Raksa Ship Museum, and (3) a former crew of the Samudera Raksa Ship. From the mapping, the researcher found the dimensions that reflect a cycle: 1. document creation stage where knowledge, the object/message/document as well as the media and technology are used to produce. 2. The product produced does not stop as a work, but humans can continue to interpret and reinterpret it, thereby producing knowledge and/or knowledge. Then, 3. returning to the initial cycle, namely creation, which drives the next creation process. 4. All of these steps involve communication and documentation 5. All of the processes are human brain simulations.
Analisis Fungsi Perpustakaan dalam Pendidikan di Indonesia

The function of the library is as an education center, information center and recreation center and as a medium and means of providing knowledge and insight into science. The aim is to arouse people's interest in reading, encourage the expressiveness and imagination of library users, and provide understanding to users to be able to maintain and care for collections of library materials well. Apart from that, the function of the library is also as a forum for students to increase their interest in reading with the aim of expanding their insight, whether it be religious, scientific or social knowledge, apart from student learning achievements, apart from functioning for students, libraries can also be used by teachers in schools as a place to look for reference material for teaching materials and a place to find solutions to subject matter. The aim of this research is to find out how the library functions in education. The results of the research show that there are several studies which explain that the function of the library is very important for students at the elementary, middle, high school and even at the tertiary level. This can be proven based on the results Researcher interviews with several students stated that with a library students can easily get information, get solutions related to lecture material and a place to translate foreign books.