Reviewerly/exHarmony huggingface dataset:
Aplikasi Pembelajaran Berbasis WEB

&#x0D; &#x0D; &#x0D; &#x0D; Web-Based Learning System entitled Introduction to Tatasurya is one of the web-based learning media. The learning system aims to make it easier for students to learn about the introduction of the solar system. Designing a web-based learning system entitled Introduction to Tatasurya using PowerPoint software, website 2 APK builder Pro and HTML programming language. The results of the discussion show that the wab-based learning system entitled Introduction to the Solar System is feasible to use in the learning process. This is based on an average value of 83.3% from 100% so that the application can run properly.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Collection quality analysis at the Animal Husbandry Library, Universitas Padjadjaran

The library has the quality in the service in the collection of the library. Enhancing library service quality is paramount to ensure users derive greater satisfaction and value. The Faculty of Animal Husbandry Library, Universitas Padjadjaran, has special collection in the animal husbandry science can access students, lecturer, and staff. The purposes this research knew the collection quality analysis at the Animal Husbandry Library, Universitas Padjadjaran, with analyse of the physical and digital library collections’ at the Faculty of Animal Husbandry Library, Universitas Padjadjaran. The research method used a descriptive quantitative methodology using a survey with 132 participating respondents. The participants comprised students enrolled in the faculty, represented by every academic year, from incoming students to those in their final year. The study procedure encompassed problem identification, questionnaire design, participant selection, questionnaire distribution, and survey data handling. The collected survey data were analyzed descriptively and graphically displayed for simplicity in data interpretation. The survey questions were categorized into four evaluative themes: collection diversity, collection completeness, collection currentness, and collection condition. The outcomes indicated consistent satisfaction from the respondents regarding the evaluated areas. Several recommendations were proposed regarding the physical collection of rare books in sub-optimal conditions. In conclusion, users express satisfaction with the diversity, completeness, timeliness, and condition of both physical and digital collections in the Animal Husbandry Faculty Library, Universitas Padjadjaran. Regular assessment of user satisfaction is necessary as a roadmap for augmenting the quality of library services.
Librarian's perception of open access repository policy in Islamic State University Indonesia

Institutional repositories that universities mostly manage have an important role in publishing academic works to the public. Some Islamic State University Indonesia, implementing the institutional open access repository policy. The purpose this research to know librarian’s perception of open access repository policy in Islamic State University Indonesia. This study used the mixed-method approach which were analyzed descriptively. Participants were determined by area sampling and divided into four groups as a representation of the Islamic State University area in Indonesia. Resource persons were 10% of participants selected from 416 Islamic State University librarians (42 people). Result study showed that repository access patterns comprised three categories: full open access 63%, 35% patterns were access parts of documents, and 2% access to abstract and metadata. The presentation pattern of the Islamic State University Indonesia, repository data was dominated by one full file open for access. Islamic State University Indonesia, librarians' perception of OAR was based on their understanding of the OAR definition. They agreed that, appropriately, OAR should be free of charge and be used for other legal purposes. However, there were many differences in understanding other aspects. The aspect of the most debate between them was the obligation to open all documents; 30% of participants from librarians disagreed on this aspect. The correlations between librarian perceptions and patterns of OAR are apparent from the results: 65% of librarians agree with OA, and 63% of repositories implement full OAR. Conclusion this research are librarians' perceptions influence the implementation of open access repository policies.
Community archives' role in safeguarding Intangible Cultural Heritage

Safeguarding intangible cultural heritage is an effort requiring the involvement of the cultural community. This study aimed to describe the role of community archives in safeguarding Silat Sutera Baja as an Intangible Cultural Heritage of DKI Jakarta Province. This study was qualitative research with a case study method. The research data were collected by conducting interviews and documentation studies from May 2023 to July 2023. The informants involved in this study were three people selected using a purposive sampling method. Informants were people involved in the process of the stipulation of Silat Sutera Baja as an Intangible Cultural Heritage of Indonesia. They were members of the Silat Sutra Baja community and employees of the local cultural service. Research data analysis was carried out through data reduction by making interview transcripts and coding to answer research questions. The coding findings were then evaluated, interpreted, and confirmed using additional data sources to derive conclusions. Research results showed that community archives, referred to as archival activities, had a role in following the archive life cycle; they were creators, distributors, users, and maintainers. Whereas community archives as collected material played their role as memory and identity. These archives showed Silat Sutera Baja’s identity and their collective memory as part of the Silat Putera Betawi. Based on the results, people need to dissolve archives by converting print archives to digital format and using cloud-based repositories such as Google Drive so that they are not lost.
Technophilia: Viable Tool for Actualizing Refugee Education

The use of computers and associated hardware, software, and networks, to provide learning through virtual learning systems have become a means of supplementing the existing traditional teaching method. This innovation, though new in a developing country such as Nigeria, is capable of serving the needs and requirements for improving the quality of education in the numerous Internal Displacement Camps in Nigeria. In this research, the education of school-age children in Internally Displaced Persons (IDP) camps is examined with particular focus on the enrollments, and the quality of provided education. Also, case studies of various African countries’ programs geared towards improving the quality of education, and skilling up her students for employment using various Information and Communication Technology (ICT) tools, are presented. The innovations directly or indirectly yielded positive impacts on national economies of the deploying countries. Targeting school age children in the over 140,000 IDP camps in Nigeria with ICT-based learning, will have the triple effect of quality education, skill acquisition, and reduction in the growing number of IDPs in the camps as a result of unwanted pregnancies. National Communication Commission’s Digital Job Creation for Youth (DJCY), which follows a customized boot camp, with the beneficiaries being offered computers with associated connectivity toolset, and set up as Micro, Small and Medium Enterprise (MSME) after training them in ICT services, is recommended for the youth in the IDP, while immersive learning (VR lens) should be used for interactive learning experience for the younger children, with Google expedition for control of accessed content. The framework for refugee education is adapted to specifically focus on ICT-based education, training, and skill acquisition for refugees. Keywords: Quality Education, Virtual Reality, Google Expedition, Internally Displaced Persons, Education Innovation, National Communication Commission (NCC) CISDI Journal Reference Format Olebara, C.C. (2023): Technophilia: Viable Tool for Actualizing Refugee Education. Computing, Information Systems, Development Informatics &amp; Allied Research Journal. Vol 13 No 4, Pp 31-44 Available online at https://www.isteams.net/cisdijournal. dx.doi.org/10.22624/AIMS/CISDI/V14N4P3
GNN-Ensemble: Towards Random Decision Graph Neural Networks

Graph Neural Networks (GNNs) have enjoyed wide spread applications in graph-structured data. However, existing graph based applications commonly lack annotated data. GNNs are required to learn latent patterns from a limited amount of training data to perform inferences on a vast amount of test data. The increased complexity of GNNs, as well as a single point of model parameter initialization, usually lead to overfitting and sub-optimal performance. In addition, it is known that GNNs are vulnerable to adversarial attacks. In this paper, we push one step forward on the ensemble learning of GNNs with improved accuracy, generalization, and adversarial robustness. Following the principles of stochastic modeling, we propose a new method called GNN-Ensemble to construct an ensemble of random decision graph neural networks whose capacity can be arbitrarily expanded for improvement in performance. The essence of the method is to build multiple GNNs in randomly selected substructures in the topological space and subfeatures in the feature space, and then combine them for final decision making. These GNNs in different substructure and subfeature spaces generalize their classification in complementary ways. Consequently, their combined classification performance can be improved and overfitting on the training data can be effectively reduced. In the meantime, we show that GNN-Ensemble can significantly enhance the adversarial robustness against attacks on GNNs.
A Hybrid Model Based on Multi-level External Knowledge for Chinese Semantic Matching

Semantic matching is a fundamental task in the field of natural language processing (NLP). Existing single model can’t deal with the problems of sparse features, semantic ambiguity and lack of semantics in colloquial data well in social media. Therefore, we design a hybrid model based on multi-level external knowledge (HME) for Chinese semantic matching. Firstly, HME introduces Cilin as an external knowledge source, and performs feature expansion for text pairs with high literal similarity according to different parts of speech. Secondly, HME introduces the HowNet as an external knowledge source to solve the problem of semantic ambiguity. Thirdly, HME introduces clickthrough data as an external knowledge source, and enhances the context representation for a small number of text pairs with unclear matching results to improve the accuracy of model matching. The experimental results of the HME on two large public Chinese datasets, LCQMC and BQ, show that HME has better performance than most existing models.
ODTT: Optimized Dynamic Taxonomy Tree with Differential Privacy

For cybersecurity, privacy protection in big data has received more and more attention and research. Differential privacy is one of the important privacy protection methods, and our work pays attention to differential privacy based on the dynamic taxonomy tree, which can protect the publishing of set-valued data effectively. We propose the optimized dynamic taxonomy tree (ODTT) algorithm as a better and more general way to protect privacy in set-valued datasets. It makes better use of data and reduces noise compared to other privacy-preserving algorithms that use taxonomy tree partitioning. The previous algorithm did not make full use of the characteristics of the dataset when constructing the taxonomy tree, so a 2-itemset’s matrix is used in the proposed algorithm to increase the pseudoempty nodes and reduce the addition of noise. More importantly, we apply the consistency constraint method to the construction of the ODTT algorithm. This retains more statistical characteristics of the original dataset by constraining the noise counts in the leaf partitions of the partition tree. Furthermore, ODTT is extended to deal with dynamic datasets. Finally, we compare the proposed ODTT algorithm with the state-of-the-art CDTT algorithm, by performing a series of experiments and using some evaluation metrics. Experimental results show that ODTT is more general and has higher usability while satisfying the security of differential privacy.
Hybrid Loss for Hierarchical Multi–label Classification Network

Machine learning models for hierarchical multilabel classification (HMC) typically achieve low accuracy. This is because such models need not only predict multiple labels for each data instance, but also ensure that predicted labels conform to a given hierarchical structure. Existing state-of the-art strategies for HMC decouple the learning process from ensuring that predicted labels reside in a path of the hierarchy, thus inevitably degrading the overall classification accuracy. To address this limitation, we propose a novel loss function, which enables a model to encode both a global perspective of the class hierarchy, as well local class-relationships in adjacent hierarchical levels, to ensure that predictions align with the class hierarchy, both during training and testing. We demonstrate the superiority of the proposed approach against multiple state–of–the–art methods for HMC on 20 real-world datasets.
Targeted Querying of Closed High-Utility Itemsets

In the era of big data, targeted querying of interesting itemsets having concise expressions is promising for improving the efficiency and capability of data mining applications. As the full set of high-utility itemsets is no longer explored, mining becomes more efficient. Nonetheless, identifying whether the current itemset includes the target pattern and is closed remains a challenge for enhancing data analysis efficiency. At present, no single-phase algorithm reliably identifies the targeted closed high-utility itemsets. In this article, we propose an algorithm called TQCUI, Targeted Querying of Closed high-Utility Itemsets containing the target patterns in a transactional database. The algorithm employs a compact attribute-utility-list structure for maintaining the utility and attribute information of the itemsets. Additionally, TQCUI utilizes several efficient pruning strategies to filter out unpromising itemsets, substantially reducing the search space. Moreover, to quickly prune non-closed itemsets, TQCUI introduces forward-extension and backward-extension checking schemes for the closure checking of itemsets. Extensive experimentation on both real and synthetic datasets demonstrates the TQCUI algorithm has good performance in terms of runtime, memory consumption, and scalability.
Blockchain-Based Verifiable and Reliable File Access Control Layer for Cloud Storages

The proliferation of various devices in our daily lives generates an immense volume of data, necessitating significant storage space and resources. Cloud storage systems are required to manage and meet the storage demands of large-scale data, such as big data. However, cloud storage systems come with security concerns, including the potential exposure of sensitive personal information during user access, threats of data tampering, and data breaches. This paper proposes a system that stores the hash value of cloud data on the blockchain for verification purposes to thwart the risk of data tampering, thereby ensuring data reliability. The proposed system is designed to grant access permissions through smart contracts to data uploaded to the cloud, allowing data owners to control access. It effectively mitigates the risks of keylogger attacks, data leakage, and breaches in cloud storage systems. In this paper, it was designed to be easily verifiable and reliable for any cloud storage and was applied to Dropbox, IPFS, etc., to measure the performance of each cloud storage and the verification performance of the proposed system. For KB-size uploads, IPFS performed up to about 10 times better than the comparable storage, and for downloads, Dropbox performed up to about 1.8 times better than the comparable storage. However, no matter which storage the proposed verification process is applied to, it showed consistent and fast verification performance with an average of 131 ms. In other words, this paper provides factors for selecting appropriate storage according to file size and user requirements and proposes that the verification system can be applied to various storage options, contributing to the development of a more secure storage system with low latency.
Hubungan antara Penguasaan Kosakata dengan Kemampuan Story Telling pada Anak Autism Spectrum Disorder di PLDPI Kota Surakarta

Background: The vocabulary allow a person to speak well and correctly, one of which is the ability to tell or can also be called by story telling. The problem of the language is close to the child special needs. One of them is a language problem that occurs in children with autism spectrum disorder. However, children who have autism spectrum disorder have different characteristics of language disorders. Purpose: This research aims to know if there is a relationship between the ruler of the vocabulary with the story telling ability in the autism spectrum disorder in PLDPI Surakarta city. Method: This type of research is a quantitative research with observative analytical research design and cross sectional design. The quantity of samples in this research is 30 autism children in PLDPI Surakarta city using Purposive Sampling technique. The statistical tests used are Spearman-rank. Research Result: The analysis results show the value of p is 0.632 that means p &gt; 0.005, and the significance value is 0.000 it means sig. (2-tailed) &lt; 0.05. It can be concluded that there is a relationship between the rulers of the vocabulary with the story telling ability in autism spectrum disorder. Conclusion: Vocabulary has a close relationship with children's storytelling abilities, because to be able to tell stories children must first master vocabulary. When the child understands the vocabulary, the child is able to form phrases, these phrases will develop again into sentences and the series of sentences will eventually form a story. Keywords: Vocabulary, Story Telling, Autism Spectrum Disorder
Hubungan antara Pendidikan Ibu dengan Kemampuan Mean Leaghth of Uterance (MLU) pada Anak Usia Prasekolah di Raudhatul Athfal AL Kautsar Surakarta

Abstract&#x0D; Background: Mother's education is one of the factors that influence the average number of child morpheme utterances. The results of the 2018 Riskesdas, that the percentage of children's language problems is 0.42%. Objectives:To find out the description of the education level of mothers with preschool-aged children, o find out the MLU of preschool age children. (3) To determine the relationship between mother's education and Mean Length of Uterance (MLU) skills in preschool-aged children in RA Al Kautsar Surakarta. Methods: This research is a quantitative study using a purposive sampling technique, the sample in this study were 30 children who attended school at RA Al Kautsar Surakarta. The statistical test used in this study is the Chi Square test. Results: Based on the results of the chi-square test, a significance value of 0.000 was obtained, which means p &lt;0.05, so there is a relationship between maternal education and MLU abilities in preschool-aged children at RA Al Kautsar Surakarta. Conclusion: The results of the Chi Square test analysis show that Ha is accepted, which means that there is a significant relationship between mother's education and MLU abilities in preschool-aged children at RA Al Kautsar Surakarta.&#x0D; &#x0D; Keywords: MLU, Maternal education, Preschool age children
Plurality, Data, and the Necessity of “Internets”

Today, the internet is often understood as a monolithic entity. This depiction is increasingly inaccurate and needs to be radically re-examined. The pluriverse concept of the internet examines local and international models of community building in interdependent but separated digital contexts. Drawing on Indigenous knowledge systems some articulations of the pluriverse describe a universe of separate, but connected and interdependent worlds, understood with reference to the concept of communities. Unlike today’s internet-based communities, organized in specific siloed venues and forums where users with specific interests rarely face opposition or differences of opinion and where these interests are constantly reinforced by recirculated data and opinions, the pluriverse offers an imaginative frame where we can imagine a series of ‘internets’, made up of localized networks, community-driven social spaces, open source data sharing, and truly collaborative production at a replicable scale. This paper presents an exploration of the potential for pluriversal “internets.”
Speech-Based Screening of Multiple Sclerosis By Features Derived from Self-Supervised Models

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. Since it, among other symptoms, adversely affects the speech of the subject, automatic speech analysis might offer a simple, inexpensive and remote tool for MS screening or monitoring the progression of the disease. We employ ten different wav2vec 2.0 models as the base of feature extraction and compare the performance with pre-trained and custom x-vector models. Based on our results, cross-lingual models perform better than the base wav2vec 2.0 networks, but the model size is crucial as the best results were obtained with a model having one billion trainable parameters. We found fine-tuning the application language to be beneficial to the classification performance, but for other languages, it did not improve the AUC scores. Surprisingly, though, we did not outperform standard x-vectors, which might be due to the standard, but perhaps too simple aggregation strategy of the frame-level embeddings.
Reusing Outputs from S-Boxes for Tamper Resistant Design

AES is currently a standard cryptographic algorithm widely used on the Internet. During the AES process, there is a non-linear operation called the S-box. This S-box is not only utilized for encryption but also finds in cryptographic hash. The only difference between cryptographic hashing and pseudorandomness is the preservation of determinism and the guarantee of the longest possible period. In this paper, we propose a countermeasure against power analysis attacks by exploiting the output of the inherent S-box in AES and utilizing it as a source of randomness.