Reviewerly/exHarmony huggingface dataset:
The use of DOIs within government publishing: Benefits and costs

ObjectivesDigital Object Identifiers (DOI) are a standard feature within academic publishing, helping make resources findable, citable, connected, and impact-trackable. This talk describes how the UK’s Office of National Statistics has led the way in piloting their use within government and promoted the DOI system as a standard across government publishing.&#x0D; MethodsIn March 2021 a small project was conducted within ONS, led by the Secure Research Service Impact, Data Management and metadata teams, to test a small-scale implementation of DOIs - and their tracking - for its secure data catalogue (https://ons.metadata.works/domain/index.html).&#x0D; Pilot work commenced with bringing together a cross-ONS working group to appraise and discuss business and user needs for the use of DOIs within the organisation. In 2022, working closely with the British Library, ONS proposed and prepared documentation for the use of the DOI standard as a recommended standard across GOV.UK.&#x0D; ResultsIn late 2021, membership of the British Library DataCite consortium was sought to mint DOIs and implementation was planned with, and undertaken by, the SRS catalogue providers. DOIs were rolled out in early October 2022, representing the first use with UK government, and serving as a valuable pilot to evaluate both user and impact benefits, and implementation costs.&#x0D; Altmetric was secured as a tool to track mentions of DOIs across the digital landscape - to test out the efficacy of such a system for monitoring use and helping inform impact and evaluation work for data providers and data services.&#x0D; In spring 2022, the DOI standard was provisionally agreed as a recommended standard across wider UK government by the Open Standards Board and Data Standards Authority.&#x0D; ConclusionThis talk provides a valuable reflection and advice on (i) the journey of advocating for/ introducing the concept of DOIs to a government organisation, (ii) the steps required to work this up into a pilot, and (iii) the value of DOIs for impact /evaluation work within a government-led data organisation.
Fundamentals, Theory, and Applications of Deep Learning in Intent of Things

Fundamentals, Theory, and Applications of DeepLearning in Intent of Things
The Technology of Educational Games for Support Science Learning: A Preliminary Study

Many learning technologies have emerged in education, often called educational games, along with technological development. Educational games are one of the learning technology instruments to support student interest. Educational games have exciting features that make students more interested in learning, especially science. Educational games in science learning give a different nuance to the learning process—this distinction is formed in a system that can attract students' interest and attention. This paper is here to provide an overview of the importance of educational games in science learning. Students usually consider learning science unattractive because it involves thinking and counting processes. Learning science by presenting a new system in educational games turns out to have its nuances. In science learning, educational games are presented in quizzes or games. This study uses qualitative research on review articles sourced from journals and books. Researchers use journals, both national and international journals, as the main reference source in conducting research. The analysis results found that each student can raise the level of the game if they can solve the given scientific problem. Therefore, educational games support learning in the classroom so that the learning process is more fun. Keyword— educational games, kahoot, quizizi, quizlet, games-based learning
Android Apps for Laundry using Model View Presenter Pattern

Universitas Darussalam (UNIDA) Gontor is a boarding-based campus that requires its professors and students to live 24 hours a day in the dormitory. To support UNIDA Gontor's household needs, one includes washing clothes; the campus has created the Unit Usaha UNIDA (U3) laundry service. This laundry service provides cleaning services based on weight and processing time, divided into three packages: regular, express, and special. Currently, the laundry service runs its administrative process using books, paper notes, and social media, Whatsapp, for communication with customers. As the laundry service grows, customers need help determining their clothing status. The same is true for employees who need help dealing with the increasing number of orders and answering the status of customer clothing one by one. This research aims to speed up the administrative process of the U3 laundry service, especially in terms of order status. The method used to help solve the problem is an Android-based mobile app that implements the Model View Presenter pattern. The black-box method and a questionnaire to customers and laundry employees were used to test this research. The results of the black-box test showed that all the features provided are running smoothly without errors. Meanwhile, the results of a random questionnaire to ten customers and four employees regarding ease, design, information, and benefits showed high satisfaction. The results of all tests prove that this application is easy for customers, especially in determining the status and cost of laundry. In addition, employees also find it easy to update and store order data, making it faster, neater, and safer. The suggestion for future research is to add a cost feature for clothing that uses hangers and plastic and to add real-time notification features using firebase .
ChatSubs: A dataset of dialogues in Spanish, Catalan, Basque and Galician extracted from movie subtitles for developing advanced conversational models

The ChatSubs dataset [5] contains dialogue data in Spanish and three of Spain's co-official languages (Catalan, Basque, and Galician). It has been obtained from OpenSubtitles, from which we have gathered the movie subtitles in our languages of interest and processed them to generate clearly segmented dialogues and their turns. The data processing code is publicly accessible. The result is 206.706 JSON files with more than 20 million dialogues and 96 million turns, which represents one of the biggest dialogue corpus available, as other similar datasets in better resourced languages do not reach 500k dialogues or present less defined conversations. Thus, the ChatSubs dataset is an ideal resource for research teams that are interested in training dialogue models in Spanish, Catalan, Basque, and Galician.
Analysis of the Similiarity Level of Source Code in the Kotlin Programming Language using Winnowing Algorithm

Plagiarism is an act of imitating the work of others directly or indirectly. In an academic environment, plagiarism applies not only to textual documents but also to source code documents. Source code plagiarism in academia usually occurs when students copy another student's code and submit it as if it were the student's work. So that an automatic plagiarism check is needed, the winnowing algorithm will be used to help detect similarities in source code as a way to detect an act of plagiarism. The Winnowing algorithm, which is usually used to detect document plagiarism, this research detects the source code. The results produced in this study are that the degree of similarity in the two source codes will produce different similarity values if the dataset used has gone through the text preprocessing stage or without preprocessing. If the dataset has gone through the text preprocessing stage, the similarity value will be pretty low because the number of characters used is significantly reduced. The Winnowing and Jaccard Similarity algorithms quickly detect plagiarism in source code and can be used to minimize plagiarism.
Volume Determination of Symmetrical Object with Distance Parameter Using Linear Regression Method

The object’s volume is a consideration in determining the quantity of products such as eggs, fruit, piles of rice, or sand. This research aims to obtain a system for determining the volume of a symmetrical object using the linear regression method in real-time, faster, more effective, and more enjoyable. This research uses segmentation methods and linear regression to determine the volume of a symmetrical object. The objects are a pile of rice and eggs which have symmetrical shapes. The shape of the symmetry in each object is a cone for a pile of rice and an oval for an egg. The results of this research are a system of symmetrical object volume determination using the linear regression method with an accuracy score of 96.48% for piles of rice and 97.84% for an egg. This system has limitations, there are the volume value must be in the data range that has been trained and the camera phone must be the same.
A Comparison Support Vector Machine, Logistic Regression And Naïve Bayes For Classification Sentimen Analisys user Mobile App

Data is the most important thing, the use of data can be useful to get an evaluation from the user of a system or application that is built based on mobile. Not only, the assessment or acceptance results of mobile applications during the trial stage are considered important, assessments and comments from direct users are also important things that can be input for mobile application developers. Data mining, or known in English as data mining, is the answer to the process of retrieving data on any media. In this research, data mining is carried out on the media mobile application download service provider Google Playstore, which provides data in the form of comments and ratings. After scraping the data and obtaining the latest data parameters determined by the latest 2000 comments, the data is pre-processed by removing the emot icon character and eliminating unneeded variables so that the data obtained can be processed to the next stage, namely classification based on ratings and sentiment comments. The algorithms used or compared in this research are Support Vector machine, logistic regression and naïve bayes which are known to be reliable in data mining processing. In this research, the accuracy results are 88% for SVM, 90.5% for Logistic Regression and 91% for naïve bayes.
ARSIP DAN INFORMASI PUBLIK

This article discusses the influence of public information services sourced from archives managed by archivists through the Information and Documentation Management Officer (PPID) and the application of legislation to individuals/organizations that require public information according to the classification of information disclosure. This article can contribute to improving information services to the public in the context of implementing bureaucratic reforms to the public. These laws used in the article also ensure that the community actively participates in public bodies' management and supervision processes. The research method of this article uses literature studies on archive management and public information services as well as laws and regulations which form the basis for implementing archive services as public information. This article's findings show a significant influence between archive management and the quality of public information services
THE CONTRIBUTION OF INTELLECTUAL PROPERTY AWARENSSS AND THE MOTIVATION OF COMIC CREATORS TO PRODUCT INNOVATION

Comics fall within the creative industry and have economic value in society in addition to the artistic sector. The comic industry must be acknowledged as a source of creative works with commercial worth and legal protection. In order to measure comprehension of comics as a component of the creative business, it is vital to comprehend the function of intellectual property rights awareness and the motivation of comic authors to innovate in developing their goods. The population of this research is high school/vocational school and university students in Indonesia. The sample was selected by simple random sampling and obtained from 64 people. Data collection techniques used questionnaires, then processed using descriptive and inferential statistics with multiple linear regression techniques. The study results show an awareness contribution to intellectual property rights and comic creators' motivation to develop comic product innovation. Currently, the comic industry has become a significant business and a source of material for other creative industry sectors. Behind it all, two main problems were identified in this industrial sector, namely: (1) the general public's ignorance of intellectual property rights, and (2) the lack of publication in the comic industry sub-sector which caused it to be less well known and in demand by the public. This finding can increase the country's comic industry and significantly contribute to Indonesia's creative economy.
Sistem Prediksi Kebutuhan Vitamin A Menggunakan Metode Fuzzy Mamdani

The purpose of this study is to create a system that can predict the need for vitamin A in a certain period, and provide convenience to related parties to meet the needs of the vitamin. Vitamin A is the most essential nutrient, this is because food consumption is not sufficient and is still low so it must be met from the outside. In this study, the method used to predict the need for vitamin A is the fuzzy mamdani method with input variables namely stock and demand and output variables namely needs. The predictions made are based on past statistics and on the basis of the characteristics of past vitamin A consumption. To calculate the error in predicting using the mean absolute percentage error (MAPE). Analysis of system requirements built using an object approach with Unified Modeling Language (UML) tools. The results of the overall prediction obtained the highest average accuracy value of 97.93% with an average error value as small as 2.07% while the lowest average accuracy value was 92.57% with an average error value as small as 7.43%. Testing on the system obtained a 100% functional value that went well in accordance with the needs analysis that had been made, so that the system had provided predictive information on vitamin A needs for a certain period and provided convenience for related parties to fulfill these needs.
Deteksi Komentar Cyberbullying pada Media Sosial Instagram Menggunakan Algoritma Random Forest

Cyberbullying is a phenomenon on social media where technological devices are used to insult, demean, and disrespect others. This can cause mental disorders such as loss of self-confidence, stress, depression, and even suicidal tendencies. The Ditch The Label survey, conducted by a British research institute, identified Instagram as the social media platform with the highest incidence of cyberbullying. The aim of this research is to determine the best accuracy based on the classification results of the cyberbullying comment dataset and to detect new comments as either bullying or non-bullying. One method that can be used is the random forest algorithm, which combines several similar or different methods, such as decision trees, in the classification process. The results of the classification of the testing data using the random forest algorithm show the highest accuracy of 84% in the last hyperparameter tuning combination. The built model can also detect new comments with fairly good predictive results. Suggestions for further research include classifying cyberbullying comments into more specific categories, such as racist or sexist comments.
Pembobotan TF-IDF Menggunakan Naïve Bayes pada Sentimen Masyarakat Mengenai Isu Kenaikan BIPIH

The Ministry of Religious Affairs proposes to increase the cost of Hajj Travel (Bipih) in 1444 H/2023 M to Rp.69.19 million. There is a fairly high increase in costs compared to 2022. This raises sentiment in the community, there are public opinions for and against the issue of rising Bipih on social media twitter. The purpose of this study was to analyze the sentiment on the issue of increasing the cost of Hajj Travel and to prove whether Naive Bayes is a good classifier of text on the issue of incremental sentiment. Naive Baye is one of the best text classifier algorithms. Data taken from social media twitter. The Data are grouped into pro and Contra opinions and then processed using python programming language and jupyter as text editor. Data used as much as 850 data. The Data is divided into training data and testing data with a ratio of 80:20. With the number of training data of 679 data and the number of testing data of 170 data. Then implement Multinominal Naive Bayes algorithm (MNB) as text classifier and word weighting using TF-IDF. The test results obtained accuracy value of 89% and ROC value of 0.91. It is proven that Multinominal Naive Bayes algorithm (MNB) is a good classifier of text for sentiment analysis of opinion on the issue of increasing the cost of Hajj travel because it is included in the Excellent Classification.
The Investigation of the Awareness of Implementing Blockchain Technology in Audit Trails among the Auditors

Objective - The purpose of this study is to investigate the awareness of implementing blockchain technology in audit trails among Sri Lankan auditors.Design/ methodology - Exploratory research is conducted to investigate the awareness among the auditors regarding the implementation of blockchain technology in the audit trails. A qualitative research approach is applied to collect data through semi-structured interviews with auditors employed in a leading audit firm in Sri Lanka.Results – There is a relatively lack of awareness about blockchain technology among auditors in general, which could be a roadblock to blockchain implementation in audit trials in Sri Lanka. Since blockchain has demonstrated potential as a technology that can transform auditing processes, there is possibility to build an audit trail, although more study is needed in this sector to be successful. Regardless matter where blockchain and audit trails go in the future, the audit profession will undoubtedly be impacted; however, it is yet too early to predict how.Research limitations/ implications - This analysis has taken a restricted perspective by relying just on auditors at one audit firm in Sri Lanka. If the perspectives and information of various auditing firms had been included, the study would have had a lot more to explore and analyze.Novelty/ originality - This study contributes to the literature on blockchain technology in audit trials by documenting the existing knowledge of auditors. This will provide an in-depth comprehension of using blockchain technology in audit trials to clients, professionals, and overall society.
The Efffect of Using Diary to Improve Students’ Writing

This study aims to determain the effect of using diary as a media to improve writing skill. This study used quantitative methods using quasi-experimental research with non-equivalent control group design. The samples used in this study were 37 students in the experimental class and 38 students in the control class. Data was collected by conducting pre-test and post-test. In this research used non-parametric tests (Wilcoxon) because the data were not normally distributed. Then the result of the hypothesis should be &lt;0.05. Based on the result from the hypothesis were the data analysis showed that the value of Asymp.Sig (2-tailed) was 0.000 &lt;0.05. It can be concluded that the working hypothesis (Ha) is accepted, while the null hypothesis (Ho) is rejected. This means that the use of Using Diary had a significant effect on students' writing skill compared to conventional teaching
Proposal for requirements traceability in distributed agile teams

This article aims to present an experience report on the configuration of an automated management tool, Jira Confluence, for documentation and requirements management, throughout the software lifecycle using agile teams, in addition to clarifying concepts about the Traceability of requirements and situate through examples why standardize and centralize them, Especially when we're talking about distributed teams.
Analysis of Vocabulary Mastery and Critical Thinking Skills as Preparation for Scientific Presentations

The significance of students possessing public speaking skills is an issue that requires attention. As a university student, proficiency in public speaking, in this instance scientific presentations, is unquestionably essential. This is essential if you want to give a presentation, complete an assignment, participate in the community during KKN, etc. Clearly, doing all of this would be a very essential task. In this case, Public Speaking skills in the form of scientific presentations are often used by students, particularly during lectures, from the beginning to the final assignment that must be completed is the skill of presenting a scientific work. In almost all courses, students are frequently required to write and present scientific papers. Presentation is a form of communication that facilitates logical, precise, and persuasive thought. This study seeks to determine the direct relationship between vocabulary mastery and critical thinking skills and students' abilities to present scientific work. This research method is qualitative description, which provides explanations in the form of descriptions based on data from a variety of scientific sources. Using this methodology, researchers are able to explain in detail and in an organized manner the impact of vocabulary mastery and critical thinking skills on students' capacity to present scientific work. Based on the collection, analysis, and research of scientific data and references. The current research will investigate the relationship between vocabulary mastery and critical thinking skills, as well as the impact of these two factors on students' abilities to create scientific presentations
Discord-Based COMPILE Application Model in Improving the Effectiveness of Teachers and Education Staff Management

This study aims to develop a Discord-based COMPILE application model to improve the effectiveness of teachers and education staff management. This research is a Borg &amp; Gall Research and Development (R&amp;D) model with sequential explanatory mixed methods (qualitative and quantitative). Product development on the model uses the ADDIE development model, namely: Analysis, Design, Development, Implementation, and Evaluation. Developmental research was conducted at Tunas Bangsa Elementary School, Kuburaya, West Kalimantan. The research subjects were school directors, principals, teachers, and education staff. Research results were validated using technique triangulation and source triangulation methods. Qualitative data analysis used the Miles &amp; Huberman model, while quantitative data analysis used the Likert scale. The results of the IT expert validation assessment showed a score percentage of 93%, the management expert validation result was 84%, and the results of the field trial with users (management, teachers, staff) showed a score of 82%. Thus, respectively showed the results of each validation and trial in a row as "Very Good", "Good" and "Good". So, the product, a Discord-based COMPILE application model, is feasible, acceptable, and can be used to improve the effectiveness of the school's management of teachers and education staff resources.