Reviewerly/exHarmony huggingface dataset:
Analisis Perilaku Penelusuran Informasi Mahasiswa Ilmu Perpustakaan UIN Sumatera Utara Dalam Menyelesaikan Skripsi

This study is entitled "Analysis of Information Searching Behavior of Library Science Students at UIN North Sumatra in Completing Undergraduate Thesis". The purpose of this study was to find out how the behavior of information retrieval of library science students in completing their undergraduate thesis at UIN Sumatra Utara. In addition, the research aims to find out what are the information needs of librarian science students at UIN North Sumatra. The research method used is a qualitative research method with a case study type of research. The subjects in this study were individuals who were library science students at UIN North Sumatra who were preparing their thesis. Then the object of this research is information retrieval behavior of library science students at UIN North Sumatra in completing their undergraduate thesis according to David Ellis. The results of this study indicate that the information needs of library science students at UIN North Sumatra, such as the subject needed is their field of study, namely the development of library science. Sources of information needed in the form of documents in the form of books and internet sources. While non-documentary sources are in the form of results of discussions in activities held by students majoring in library science.&#x0D; Keywords: information searching behavior; library science, undergraduate thesis
Development of Problem Based Learning Modules on the Theme of My Country’s Richness to Improve Learners’ Writing Skills Grade 4 Elementary School

Development of Problem-Based Learning Module on the Theme of My Country's Richness to Improve Students' Writing Skills of 4th Grade Elementary School.This study aims to realize the product development of the thematic module based on Problem-Based Learning on the theme of the richness of my country and test the feasibility of teaching materials for the thematic module based on Problem-Based Learning on the theme of the richness of my country to improve the writing skills of grade 4 elementary school students.The type of research used is research and development (Research and Development).The population is Grade IV students of SD Negeri 1 Cahaya Negeri and SD Negeri 1 Bumi Nabung.Data collection techniques using observation, and questionnaires.This research data analysis technique uses the Borg and Gall technique, producing a Problem-Based Learning module on the Kayanya Negeriku Theme to improve writing skills including potential and problem stages, collecting data, product design, design validation, design revision, product testing, and product revision.The PBL module received student responses in the very interesting category and the average writing skill pretest in the experimental class was 68.43.While the average posttest is 86.50.The average pretest writing skill in the control class was 61.83 and the post-test average was 78.16.From these results, it can be seen that the post-test average of writing skills in the experimental class is higher than the control class.
Distinguishing Orthodontic Experts From Laypersons Through Gaze Analysis

Visual inspection is an important process conducted as an initial diagnostic step in medical examinations. It is assumed that the gaze movements of an orthodontist (expert) differ from those of a layperson. In this study, to examine whether the degree of proficiency in conducting a visual examination can be estimated from gaze movement, we conducted a gaze measurement experiment in which facial images (frontal and lateral images of three patients) were viewed by ten experts and ten laypersons. The performance in discriminating whether a subject was an expert or layperson exhibited a certain improvement when applying an aggregation method for the gaze data, that is, the grid gaze frequency and AOI gaze frequency. We examined whether proficiency levels could be determined using machine learning techniques. The results demonstrated that our method distinguished experts and laypersons relatively effectively using gaze frequency based on the grid and area of interest set by an expert for each face part.
Utilizing Book Creator as a Digital Module to Improve Student Listening Skills in Elementary School

Listening learning is one of the most important language skills of the three other aspects of language, i.e., speaking, reading, and writing.More than 40% of a person's daily activities are listening.This skill requires a factor of intentionality, seriousness, and understanding so that the information received can be appropriately interpreted.However, listening learning in elementary schools encounters obstacles.It can be seen from the final result that the score for language skills was not optimal.The problem was due to the lack of interactive media in learning, so the class tended to be passive.The curiosity of students also decreased.The effort that the researchers could make to overcome it is by using book creators as digital modules to improve listening skills.Moreover, today, technology sophistication must be utilized as well as possible.Thus, this study used experiments.The expected outcome is an increase in Indonesian language learning outcomes for elementary school students.This digital book creator media can also be used by teachers in any subject since it has creative and interactive elements between teachers and students so that classes will be more meaningful, and students will be happy during learning.
Tether-Handle Interaction for Retrieving Out-of-Range Objects in VR

Many VR applications allow users to grab and manipulate virtual objects, whether it be with a motion-tracked controller or a hand-tracked gestural input system. However, when objects move out-of-reach, standard grabbing interactions become less useful. Techniques for retrieving distant objects often use separate interaction metaphors from the main grabbing technique, such as pointing or hand extension. However, to avoid such metaphor switching, and to avoid cluttering a controller or gestural interface with multiple functions, we created a novel object retrieval technique that dynamically presents a grabbable handle tethered to a distant object.
Contrastive Analysis of Indonesian Morphosyntax and Languages for Foreign Students University of Lampung (Design of BIPA Teaching Materials)

The presence of international students in a university can increase the reputation of the university globally.Likewise, at the University of Lampung, increasing the number of international (foreign) students is one of the main priorities in the preparation of the 2020-2025 strategic plan with the theme of building regional and international competitiveness.To be able to succeed in the study of international students, an effective and conducive learning process is needed, one of which is through improving the quality of BIPA learning materials.The difference.The results of this anacon are used as an approach to the preparation of teaching materials based on Brown's model.By using a contrastive analysis framework, it is known that the similarities between Indonesian and Vietnamese as one of the foreign languages used by speakers of foreign students at Unila are as follows.Both of these languages have segmental and suprasegmental sounds.The segmentation of the lingual unit can be seen clearly.However, the differences between the two languages are 1) it is difficult to determine the category of words for Vietnamese, on the other hand, Indonesian is very easy to determine the category; 2) Indonesian suprasegmental sounds do not distinguish lexical meanings, while Indonesian suprasegmental sounds can distinguish lexical meanings.For this reason, the implications of preparing the design of Indonesian language teaching materials for Vietnamese-speaking foreign speakers (BIPA) are 1) more pronunciation of language units should be given in learning to speak with effective learning strategies; 2) the morphemic structure of the Indonesian language is reproduced in learning to read and write; and 3) identify and analyze difficult words with indications of three or more syllables in each text in listening and reading learning.
A Practical Ciphertext-Only Attack on GMR-2 System

We present a ciphertext-only attack on the GEO-Mobile Radio Interface-2 (GMR-2) system for the first time. The GMR-2 is a satellite communication standard adopted by Inmarsat, a British satellite telecommunications company that offers global mobile services. The best publicly known attack on GMR-2 is a known plaintext attack called the inversion attack, proposed by Hu et al. in 2018. It recovers the 64-bit session key in 20 milliseconds when one keystream frame (15-byte) is available. Our contributions are twofold. First, we improve the previous inversion attack using a novel approach, pre-filtration. With our improvement, we can recover the session key in 4.5 milliseconds and 0.62 milliseconds using one and two keystream frames, respectively. Second, we propose a practical ciphertext-only attack on the GMR-2 by exploiting a vulnerability in the CIPHERING MODE COMMAND message type. We find that this message type only has <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2^{11}$ </tex-math></inline-formula> degrees of freedom despite being transmitted in a 184-bit format. Additionally, we find that two or more keystream frames can be derived from a single message in four of the six channels through which this message type may be transmitted. Assuming the CIPHERING MODE COMMAND message type is transmitted using one of these four channels, we can iteratively guess the message and conduct a known plaintext attack to recover the session key. Thanks to the speed improvement achieved by our pre-filtration method, our ciphertext-only attack can recover the session key in 1.3 seconds.
Weighted Co-Occurrence Bio-Term Graph for Unsupervised Word Sense Disambiguation in the Biomedical Domain

Word Sense Disambiguation (WSD) is a significant and challenging task for text understanding and processing. This paper presents an unsupervised approach based on Weighted Co-occurrence bio-Term Graph (WCOTG) for performing WSD in the biomedical domain. The graph is automatically created from biomedical terms that are extracted from a corpus of downloaded scientific abstracts. Two kinds of weights are introduced on the links of the built bio-term graph and are taken as important factors in the process of disambiguation. The modified Personalised PageRank (PPR) algorithm is used for performing WSD. When evaluated on the NLM-WSD and MSH-WSD test datasets, and an acronym test set, the method outperforms the widely used unsupervised ones addressing the same problem, and the average result is almost equal to that of the BlueBERT_LE-based method. In contrast, our method has no additional enhancement or training for BERT-based models. Comparative experiments validate the positive effect of links’ weight on disambiguation efficiency. Last, the statistical experiments on the relation among system accuracy, the numbers of medical abstracts in the corpus, and the corresponding extracted terms suggest an excellent minimum corpus scale, when resources are limited.
A Comparative Study between Encryption Algorithms in Cloud Computing

Cloud computing is the fastest-growing technology that aims to provide software, hardware, bandwidth, and virtualized resources more easily and cheaply via the internet. In addition to storing massive amounts of data, cloud computing is also a method of providing IT services on demand and pay per consumption. There is a critical need for the security of this information. The goal of encryption research is to identify and implement strategies that ensure data integrity during transmission. Symmetric and asymmetric algorithms, both employed for security purposes, are two types of cryptographic protocols. In this study, we examine the differences between symmetric and asymmetric algorithms and evaluate their relative efficiency. Three algorithms-RSA, AES, and DES-are used to do this. In this simulation, we have used the initial file size, encryption time, and decryption time as our simulation parameters. This simulation accepts jpeg, mp3, and mp4 files as well as pdf and docx documents as input.
Development of Management Information System and Web-Based Village Education Center in East Lampung

The rapid development of science and technology indirectly requires people to be able to adapt to technology and also be able to harmonize it to create new opportunities by forming an innovative, competitive and creative generation.The information system is a combination of several components that are integrated with each other for collecting, storing, processing data, providing information, knowledge and digital products.The main components of an information system are hardware (hardware) and also software (software) which will later form an information technology embedded in the organization's management operations.This study aims to design and build a village management information system that can be used to improve administrative services and the provision of information in the district of East Lampung.This study uses the Rapid Application Development (RAD) research method with three stages, namely planning requirements requirements, workshop design and implementation.The website test results show that 80% representing 16 respondents commented that they agreed that the website was easy to use.Then 70% or about 14 respondents commented agree, 30% representing 6 respondents commented strongly agree that the website is functioning well.As a whole the system has been successfully designed and built which contains village government services and an education center.The system can be accepted by users, namely village government staff and the community.
FakeBand: Virtual Band Music Performance with Balanced Interface for Individual Score/Rhythm Play and Inter-player Expression Coordination

In this poster, we feature a two-user immersive VR music performance system called the “FakeBand”. It resembles the rhythm game for a guitar play-along, but extended in its interaction model and interface design, focusing on the band performance experience in terms of coordination and collective musical expression. Coordi-nating timings for the tempo/accent change begins by the leader and the follower exchanging glances and using bodily gestures - nodding for tempo and large arm motion for accents. The interaction model and separated interface between the rhythm/chord play and music coordination were important in bringing about the active and frustration-free musical experience.
Reinforcement on Students’ Scientific Literacy: Development of Worksheet Based Lynk

This study aims to develop a valid, practical, and effective worksheet based Lynk to habituate students' scientific literacy.Thiagarajan 4-D model (Define, Design, Development, and Disseminate) in Research and Development (R & D), were used as research method.This article reported the results of the development in the define stage.10 teachers and 112 students in the Metro city, Indonesia were involved as research subjects.The questionnaire sheet was used to obtain data on the needs analysis of science worksheet based Lynk for elementary school.Based on the results of the research, it can be concluded that students need a worksheet based Lynk which are able to stimulate students learning, enhance students' involvement in learning, and create a pleasant learning atmosphere.Based on the data, 82.73% of students agree for the necessity of a worksheet based Lynk development, with a validity value of 3.15 in the valid category and the reliability value of Cronbach's alpha 0.928.
Needs Analysis of Disaster Mitigation Learning Design Based on Information Literacy in Efforts to Increase Disaster Self-awareness of Early Childhood

At the Early Childhood Education level, to introduce the concept of disaster mitigation learning, it must be integrated into contextual learning so that it is easy for children to understand and very meaningful.Furthermore, the role of school principals, educators, parents and partners/communities is needed in the introduction of disaster mitigation learning that is able to increase children's disaster self-awareness from an early age.The main problem currently being faced is the limited information literacy skills of educators in searching data for preparing disaster mitigation teaching materials.East Lampung Regency, one of the flood and tornado-prone areas in Lampung Province, of course all existing early childhood children need education about how to teach disaster mitigation lessons to children from an early age to increase disaster self-awareness so that they become a young generation that is resilient to disasters.Where they live.For this reason, a study will be conducted on the analysis of information literacy skills possessed by educators in East Lampung Regency in the preparation of disaster mitigation teaching materials to increase disaster self-awareness of children aged 5-6 years.This research uses a qualitative approach and case study method.The research subjects were PAUD educators in Labuhan Ratu District, East Lampung Regency.Determination of location based on areas prone to floods and tornadoes.The entire process of collecting data online and offline, by complying with the covid-19 health protocol.Through this research, it is hoped that the following specific objectives will be achieved, namely: (1) Mapping the level of information literacy skills of educators in the preparation of disaster mitigation teaching materials that can improve early childhood disaster self-awareness; and, (2) analyzing the needs of educators in preparing disaster mitigation learning plans that can increase disaster self-awareness of early childhood.
Application of Digital Literature Based on Video, Website and Peer Tutoring on Student’s Academic Literature Skills

The rapid development of the world of information communication and technology (ICT) has made the use of the internet a basic need.This can be seen from the activities of the world of education, especially in higher education which cannot be separated from digital devices such as the use of gadgets and laptops.The use of such technology must of course be equipped with good and correct literacy skills for optimal implementation.To perform this optimization, there are several ways that students can do, such as viewing videos in the digital space, exchanging information on personal websites, and peer tutoring, often known as peer tutoring.The purpose of this study was to determine the literacy skills of video-based, website and peer tutoring in improving students' academic literacy.The research method used is quantitative research with experimental research design.The sample used in this study were FKIP students at the University of Lampung.In this study, students are expected to be able to improve their literacy skills in the face of today's rapid technological advances.
Stabilizing and Improving Training of Generative Adversarial Networks Through Identity Blocks and Modified Loss Function

Generative adversarial networks (GANs) are a powerful tool for synthesizing realistic images, but they can be difficult to train and are prone to instability and mode collapse. This paper proposes a new model called Identity Generative Adversarial Network (IGAN) that addresses these issues. This model is based on three modifications to the baseline deep convolutional generative adversarial network (DCGAN). The first change is to add a non-linear identity block to the architecture. This will make it easier for the model to fit complex data types and cut down on the time it takes to train. The second change is to smooth out the standard GAN loss function by using a modified loss function and label smoothing. The third and final change is to use minibatch training to let the model use other examples from the same minibatch as side information to improve the quality and variety of generated images. These changes help to stabilize the training process and improve the model’s performance. The performance of the GAN models is compared using the inception score (IS) and the Fréchet inception distance (FID), which are widely used metrics for evaluating the quality and diversity of generated images. The effectiveness of our approach was tested by comparing an IGAN model with other GAN models on the CelebA and stacked MNIST datasets. Results show that IGAN outperforms all the other models, achieving an IS of 13.95 and an FID of 43.71 after traning for 200 epochs. In addition to demonstrating the improvement in the performance of the IGAN, the instabilities, diversity, and fidelity of the models were investigated. The results showed that the IGAN was able to converge to a distribution of the real data more quickly. Furthermore, the experiments revealed that IGAN is capable of producing more stable and high-quality images. This suggests that IGAN is a promising approach for improving the training and performance of GANs and may have a range of applications in image synthesis and other areas.
Author-Profile-Based Journal Recommendation for a Candidate Article: Using Hybrid Semantic Similarity and Trend Analysis

Finding the right journal for a manuscript to be submitted is difficult and often time-consuming because authors take into account some criteria while searching for the appropriate journal for their manuscript. One of the most important criteria is the content similarity of the journals and manuscript. For this purpose, the subject of the manuscript should be in accordance with the scope of the journal. Also, the manuscript content should be closed to the journals’ trend for higher chance of acceptance. Second criterion is to take into account the impact-factor, acceptance-rate, review-time and publishing houses of the journal, which are suitable for the author’s past publication profile. In this study, a novel method is proposed in which both the content of the article and the author / authors profile are considered together to find the appropriate journal. To the best of our knowledge, this is the first effort in this direction. Experimental results conducted on real data sets have shown that the proposed method is applicable and performs high accuracy values.
Coeus: A Universal Search Engine for Additive Manufacturing

Additive manufacturing has become increasingly popular and is opening doors for increased collaboration, quick manufacturing turnaround times, and rapid prototyping. New collaboration opportunities are enabled by 3D model databases that help users find, modify and manufacture parts upon request. Nevertheless, the current process relies heavily on user-defined text-based labels to describe and identify parts, yet user tagging is an expensive and laborious process. To address the limitations of traditional tag-based methods, this work proposes new shape-based search techniques that bring significant usability improvements over the current state of the art. In particular, our approach allows users to query for parts at different stages of the manufacturing process, including approximate models, GCode printer files, and real world objects. At the core of our technique is a generative adversarial network that flattens 3D shapes into depth-based 2.5D images, which are then cataloged and queried based on a frequency-domain representation and a locality-sensitive hashing scheme. We evaluate our methodology using a rich dataset of everyday objects, and our evaluation results report a high accuracy retrieval rate for our test set.