Reviewerly/exHarmony huggingface dataset:
A Novel Annotation Scheme to Generate Hate Speech Corpus through Crowdsourcing and Active Learning

The number of user-generated posts is growing exponentially with social media usage growth.Promoting violence against or having the primary purpose of inciting hatred against individuals or groups based on specific attributes via social media posts is daunting.As the posts are published in multiple languages with different forms of multimedia, social media finds it challenging to moderate before reaching the audience and assessing the posts as hate speech becomes sophisticated due to subjectivity.Social media platforms lack contextual and linguistic expertise and social and cultural insights to identify hate speech accurately.Research is being carried out to detect hate speech on social media content in English using machine learning algorithms, etc., using different crowdsourcing platforms.However, these platforms' workers are unavailable from countries such as Sri Lanka.The lack of a workforce with the necessary skill set and annotation schemes symbolizes further research essentiality in low-resource language annotation.This research proposes a suitable crowdsourcing approach to label and annotates social media content to generate corpora with words and phrases to identify hate speech using machine learning algorithms in Sri Lanka.This paper summarizes the annotated Facebook posts, comments, and replies to comments from public Sri Lankan Facebook user profiles, pages and groups of 52,646 instances, unlabeled tweets based on 996 Twitter search keywords of 45,000 instances of YouTube Videos of 45,000 instances using the proposed annotation scheme.9%, 21% and 14% of Facebook, Twitter and YouTube posts were identified as containing hate content.In addition, the posts were categorized as offensive and nonoffensive, and hate targets and corpus associated with hate targets focusing on an individual or group were identified and presented in this paper.The proposed annotation scheme could be extended to other low-resource languages to identify the hate speech corpora.With the use of a well-implemented crowdsourcing platform with the proposed novel annotation scheme, it will be possible to find more subtle patterns with human judgment and filtering and take preventive measures to create a better cyberspace.
Web application in Shiny for the extraction of data from profiles in Google Scholar

The need to measure the contribution of researchers through academic profiles is of great importance, which is why in 2018 we created an algorithm in R language to dynamically extract data from individual and institutional public p rofiles in Google Scholar Citations. Although the algorithm has been of great use in the automatic extraction of data, allowing statistical reports and analyzes to be carried out with this data, it is only possible to use it if the user knows the R language, due to the multiple functions that the R language has integrated. algorithm. In this work we show the creation of a web application integrating the algorithm to extract data from Google Scholar Citation s but improving the ease of use of these scripts using the R Shiny package, which integrates web components from Rstudio but maintaining the programming characteristics of the language. . Shiny converts scripts into interactive web applications, without any knowledge of HTML, CSS or Javascript, making it e asy for users to use, manipulate, view, and allow for future updates to improve functionality. The results of the tests and tasks carried out in this work show that the use of the web application in Shiny, the extraction algorithm could be integrated without difficulty, improving the extraction time in seconds and minutes, because the user does not interact with it. R code but with the Web interface allowing users new to R who are dedicated to the analysis of Google Scholar data to use it.
Multi-level Video Captioning based on Label Classification using Machine Learning Techniques

Video captioning is the heuristic and most essential task in the current world to save time by converting long and highly content-rich videos into simple and readable reports in text form.It is narrating the events happening in videos in natural language sentences.It makes the way to many more interesting tasks by the use of labels, tags, and terms such as video content retrieval, video search, video tagging, etc. Video captioning is currently being attempted by many researchers using some exciting Deep learning techniques.But this approach is to find the best of machine learning for the process of captioning videos in a different way.The novel part of the proposed approach is classifying videos by using the labels existing in video frames that belong to the various categories and producing consecutive Multi-Level captions that describe the entire video in a round-robin way.Informative features are extracted from the video frames such as Gray Level Cooccurrence Matrix (GLCM) features, Hu moments, and Statistical features to provide optimal results.This model is designed with two superior and optimal classifiers such as Support Vector Machine (SVM) and Naive Bayes separately.The models are demonstrated with the prevailing standard dataset Microsoft Research Video Description corpus (MSVD) and evaluated by the benchmark classification metrics such as Accuracy, Precision, Recall, and F1-Score.
FENOMENA PEMEROLEHAN DAN PERKEMBANGAN BAHASA PADA ANAK USIA DINI

The purposes of the article were to describe the language acquisition process of children and elaborate on the process of language development of children. This article was library research that used the descriptive qualitative method based on the data of some research or some books from some experts about language acquisition and language development. It was found that children had experienced three stages of language acquisition. In the first stage, children imitated simple sounds to show an action. In the next stage, children produced similar sounds that adults also produced. Then, children could produce and pronounce simple sentences in their native language in the last stage. Furthermore, language development consists of the process of articulation development and the process of word and sentence development.
Ant Based System: Overview, Modifications and Applications from 1992 to 2022

The complexity of real-world problems motivated the researchers to innovate efficient problem-solving techniques. Generally, natural-inspired, bio-inspired, metaheuristics-based evolutionary computation, and swarm intelligence algorithms have been frequently used for solving complex, real-world optimization and non-deterministic polynomial hard (NP-Hard) problems due to their ability to adjust to a variety of conditions. This paper shows an overview of swarm-based algorithms based on Ant behavior. The first algorithm that inspired Ant behavior in the search for food sources was developed in 1992 and tested in solving the TSP problem. Ant Colony Optimization (ACO) is a metaheuristic inspired by some Ant species' pheromone trail laying following behavior. Artificial Ant in ACO is a stochastic solution construction process that uses (artificial) pheromone information that is modified depending on the Ant’s search experience which is possibly accessible in heuristic information to generate solutions for problems. Notable research has been gained since the proposal of the Ant system. These contribute to the creation of high-performance algorithmic variants of a generic algorithmic framework for ACO, its successful application to a wide range of computing difficult problems, and the theoretical understanding of its properties.
Detoxification of Russian texts based on combination of controlled generation using pretrained ruGPT3 and the Delete method

This article describes our solution for the RUSSE Detoxification 2022 text automatic detoxification competition held as part of the Dialogue 2022 conference. Our approach consisted in filtering the p rovided training data set, fine-tuning the pretrained ruGPT3 model and selecting examples of detoxified (neutral) sentences generated with its help based on their cosine proximity and ROUGE-L to the input toxic sentence for their subsequent processing using the ruPrompts library for ruGPT-3. The final stage of processing the generated neutral comments was carried out using the Delete method - an uncontrolled detoxification model based on rules, which deleted all the remaining coarse and absentee words stored in the dictionary provided by the organizers. At the Human Evaluation stage, the system received a chrF metric value of 0.455; at the Automatic Evaluation stage - 0.505, and took eighth place at Manual Evaluation. We conducted a review and analysis of examples of detoxified sentences obtained using our model. The analysis showed that some of the generated neutral sentences in most cases lose the meaning of the original toxic sentence, and also retain either a full negative connotation or a partial one.
Implementation of Building Information Modelling for Road Rehabilitation and Reconstruction Project: Liquefaction Disaster of Palu Area

Purpose: Utilization of Building Information Modeling (BIM) is believed to improve planning accuracy, mitigate construction risks, and better plan the entire life cycle of infrastructure asset projects. The application of BIM technology in post-disaster management can combine GIS technology (Geographic Information System) with BIM technology itself, or commonly referred to as geospatial BIM. The purpose of this paper is to apply BIM technology, explain the stages of road planning and modeling with BIM, and identify the advantages of using BIM compared to conventional methods. The road planning location is the location of the Jono Oge liquefaction disaster, Palu, Indonesia.&#x0D; Design/methodology/approach: Data collection, data processing with Agisoft Metashape, DEM data input, and orthophoto image data processed by Agisoft Metashape to Autodesk® InfraWorks®, road planning with Autodesk® InfraWorks®, road planning model output and field data presentation. 3D models, IMX format files, FGDB format files, and animation videos.&#x0D; Findings: The application of BIM technology in planning and modeling road projects at liquefaction locations can be made using Agisoft Metashape software to process aerial photo data taken using drones and using Autodesk® InfraWorks® software for planning and modeling of the road.&#x0D; Research limitations/implications: Modeling Road design in the application of BIM and the use of Autodesk® InfraWorks® applications on the project. We are not modeling the pavement, just visualizing the geometry of the road.&#x0D; Practical implications: BIM implementation can drive time, effort, and realistic 3D visualization.&#x0D; Originality/value: Original paper&#x0D; Paper type: A case study
The Development Of Hand Puppet As A Creative Media To Improve Speaking Skills For Students In Class V Sd.Rk.No.1 Sibolga

The development of this hand puppet media aims to improve students' speaking skills.students are actively involved in using hand puppets by presenting the text they have been working on.The research subjects were 30 students of class V B SD.RK No 1 Sibolga.This media development trial was carried out using the Steady method (five-stage method) which was modified from the results of the Borg and Gall design which included (1) Preliminary Research Phase, (2) Model Development Phase, (3) Model Validation Phase, and (4) Effectiveness Test Phase, and (5) Dissemination Phase.In the interview process with the fifth grade Indonesian language teacher, it was found that learning activities to achieve students' speaking skills based on KD 4.3 are usually carried out using the discussion method.Then one of them conveys the results of the discussion by reading.This method does not support the participation of all students in speaking, only active students will advance.This happens because of the lack of concrete media that involves all students playing an individual role.So the purpose of this development research is to develop hand puppets as creative media to improve students' speaking skills based on the validity and practicality of the media.Product validity can be seen from the results of the approval given by media experts through a validation process where the score obtained is 80% with a valid category, and the results of material validation get a score of 92% in the very good category, and the results of media validation with a score of 88.9% while practicality data is known from the increase in the percentage of students from 68.7% pretest results to 81% posttest results.From the results obtained both from the results of validity and practicality, the hand puppet media can be said to be a creative medium and suitable to be used as a learning medium to improve students' speaking skills.
Dynamic and spatial variables in data visualization systems

Jacques Bertin’s groundbreaking work, Sémiologie Graphique, has remained definitive for the more than half a century since its initial publication (1967). His formal description of graphic variables is fundamental for information design because it offers a way to understand how visual entities can be used to create a semiotic system with clear and distinct categories. According to Bertin, color, texture, value, pattern, shape, position, and orientation can each be assigned a specific role within a signifying system in accord with logical rules of representation. However, given the technology of the time in which Bertin was writing, features of dynamic display were not included in his discussion. These include elements of animation (such as direction, speed, acceleration, transformation, and rate of change) as well as some features of perspectival and spatial systems (including point of view, scale, projection, folding) that did exist but were not much used. The critical question is whether these graphical features can be formalized to the same degree as Bertin’s seven graphic variables, andincluded within the operation of semiotic systems. While these variables are not associated with fixed values any more than Bertin’s original ones, their use in information display suggests that they would benefit from the same kind of descriptive analysis he applied to static ones. This paper describes dynamic and spatial variables, offers some preliminary thoughts about their specific contribution to visualization of big data, and addresses the way they produce meaning within a graphical semiotic system.
Students' Perceptions about Learning Difficulties on Fungi Materials

This study aimed to determine students' perceptions of learning difficulties in fungi material. This research method is qualitative, the population of this research is all students, totaling 199 people. The subjects of this study were students of class X MA Negeri 1 Indramayu for the academic year 2021/2022, totaling 67 people. The instruments used were questionnaires, field notes, and interviews. The sampling technique used is random. Data analysis used the Likert scale and percentage technique (%). The results showed that the average learning difficulties of class X students at MA Negeri 1 Indramayu were generally in the very high category with a percentage of 28.5% and 71.5% with low learning difficulties. The biggest factor causing learning difficulties comes from internal factors, namely interest and motivation indicators 70.83% (low), readiness and attention 72.08% (low). Followed by external factors, namely the school environment 73.75% (low).
Nunukan State Court's Computer Network Security Improvement Using Centralized Next-Generation Firewall

The Nunukan District Court currently uses technology and information systems to improve services to the community. However, the use of technology and information systems is not accompanied by the application of technology and information system security. This makes the Nunukan District Court vulnerable to attacks and threats such as viruses, phishing, DDoS and others. To overcome this, in this research, a design was made for the implementation of the Next-Generation Firewall which functions to protect information technology and systems in the Nunukan District Court from threats and attacks on technology and information systems. From the results of tests conducted at the Nunukan District Court, the Next-Generation Firewall can prevent attacks and threats carried out in testing. Not only that, this study also found an increase in network performance at the Nunukan District Court. Several features were implemented, such as web filters, antivirus, IPS and antiDDoS, which were seen to be able to prevent attacks and threats to the information system used at the Nunukan District Court. The implementation of the applied design also makes the firewall resource device at the Nunukan District Court unburdened because it offloads the security scanning function to the NGFW device in the cloud which causes an increase in internet access performance.
DIGITAL MARKETING IN POST-PANDEMIC CONDITIONS

As the COVID-19 pandemic affected the entire world, companies had to develop new techniques and practices to adapt to digital transformation, there came a need for change, for a restructuring of organizational management policy with reference to marketing and communication processes and strategies, organizational procedures, as well as for an awareness of the new technologies that are the bridge towards the online environment. New innovative technologies are the enablers of efficiency and working time reduction, with a focus on automation and systematization. Our aim is to highlight the impact of digitalization on business marketing, the importance of the company’s position and mentality in relation to the current context, as well as the changes in consumer behaviour. The dynamics and fast pace of current trends changes in marketing increase the need to be open about the implementation and adoption of new communication technologies and tools. In this context, organizations must take into account the remodelling of marketing strategies that should be streamlined taking into account intra-organizational and strategic management challenges. Therefore the study aims to outline the implications of digital marketing on the post-pandemic management of companies, and comes up with suggestions related to the allocation of resources in terms of digitalization, that may have a positive impact on improving operational tasks, effectiveness and efficiency through automation.
AN ANALYSIS OF STUDENTS READING COMPREHENSION ON RECOUNT TEXT AT SMK DHARMA BAKTI 1 MEDAN

This research was conducted to describe the students' ability to read and understand the Recount Text. The purpose of this study was to analyze the students' ability in understanding the Recount Text. This research used descriptive qualitative method. This research was conducted at SMK Dharma Bakti 1 Medan. The sample of this research was 17 students of class 10 TKJ. This study used a reading test and interview instruments. Based on the research results, it was found that the highest score of students was 73.00 and the lowest score of students was 6.00. The low score of students caused by the lack of understanding of students in reading recount text and limited vocabulary of students. Keywords: Students’ analysis, reading comprehension, recount text ABSTRAK Penelitian ini dilakukan untuk mendeskripsikan kemampuan siswa dalam membaca dan memahami Teks Recount. Tujuan penelitian ini adalah untuk menganalisis kemampuan siswa dalam memahami Teks Recount. Penelitian ini menggunakan metode kualitatif deskriptif. Penelitian ini dilakukan di SMK Dharma Bakti 1 Medan. Sampel penelitian ini sebanyak 17 siswa kelas X-TKJ. Penelitian ini menggunakan instrumen tes membaca dan wawancara. Berdasarkan hasil penelitian, ditemukan skor tertinggi siswa adalah 73,00 dan skor terendah siswa adalah 6,00. Rendahnya nilai siswa disebabkan oleh kurangnya pemahaman siswa dalam membaca teks recount serta kosakata yang dimiliki siswa terbatas. kata kunci : Analisis siswa , pemahaman membaca, teks recount
Development Of Project Based Learning (PjBL) Assistant Macromedia Flash Assistance To Improve Mathematic Problem Solving Ability And Student’s Independence

The purpose of this study is to determine: (1) the validity, practicability, and efficacy of learning tools.(2)PjBL-based learning tools with macromedia flash can help pupils enhance their mathematical problem-solving abilities.(3)PjBL-based learning tools with macromedia flash can help pupils gain independence.This study is a development study that employs the 4-D Thiagaradjan development paradigm.(1) The learning aids produced were pronounced valid, practicable, and effective for use in improving students' mathematical problem solving abilities at SMPN 30 Medan.(2)Improving the mathematical problem-solving ability of students at SMPN 30 Medan who were taught utilising PjBL tools.It was reported via macromedia flash that there was an increase from Trial 1 to Trial 2, as seen by the N-gain in Trial 1 of 0.37, increasing to 0.56 in Trial 2. (3)Improving kids' ability to learn independently.The average student learning independence in the first trial was 80.13 with a standard deviation of 9.82, and in the second trial it was 85.31 with a standard deviation of 11.42.
Automatic Geographic Information System algorithm for temporal mangrove observation: A case study in Gopek Beach, North Banten

Temporal observation is a series of processes started by collecting the necessary data, which is then processed, so that valid information is obtained to support the right decision. To increase the ease of data collection, an automatic algorithm is needed to increase efficiency, shorten the time, and reduce the required resources. The automatic algorithm based on the geographic information system developed in this study was applied to monitoring mangrove forests in Gopek Beach, located on the north coast of Serang, Banten. Using the cloud computing process from an automatic algorithm, the results of vegetation monitoring showed increased efficiency in time and resources. Thus, this study can be used for Geographic Information Systems learning materials in schools or universities.