Reviewerly/exHarmony huggingface dataset:
EMOJI: IS IT THE NEW INTERNATIONAL DIGITAL LANGUAGE?

The Internet has occupied a large part of our life and has become an essential means of communication, work and study in various ways like websites, smartphones applications and computer programs. And because the Internet is linked to several technological languages, in which emoji is one of the means of communication, therefore, the current research is trying to examine this issue of emoji by raising the following question: Is emoji a communicative language that can be used to translate feelings and convey our messages? In order to do that, this research adopts the descriptive method to answer the above question. The data collection tool is an electronic questionnaire formulated by the researchers, validated by language experts, prepared and distributed using Google forms on students of College of Basic Education- University of Mustansiriyah. The results of the questionnaire were analyzed after collecting 200 random samples according to the frequencies of the answers. The research concluded that emojis are a mature written digital language that plays an important role in daily communication on the Internet. Emoji means a small digital picture or icon that carries a certain emotional message. According to wikipedia, “emoji is a pictogram, logogram, ideogram or smiley embedded in text and used in electronic messages and web pages'' (online:2019). The main purpose of using them is to express emotional and sensational cues which are missing in the typed text or to enrich the meaning of the message ( Crystal, 2018:465) It is a simple way of communication in it’s digital form because emojis are easy to be understood by almost every single human with a smart device. Instead of saying i’m angry in English, غاضب انا in Arabic or estoy enojado in Spanish it’s easier to use this Emoji whatever the language of the person that you are having a written conversation with !. Keywords: Emoji, International Digital Language
Memahami Manajemen Media Massa Untuk Publikasi Artikel bagi Penulis Pemula

Mass media have crucial roles in propogating information in society. News published through mass media, both the positive and the negative ones will be so highly accessible to public that they influence the way society thinks. If the published information is true and honest, it will result in positive impacts. On the other hand, if the published information is untrue, dishonest, and it instigates hatred, it will negative impacts and it can even trigger conflicts amongst society members. For those reasons, according to John Hohenberg, news in mass media must al all times prioritize the factors of actuality, honesty, and education. To carry out those functions, it is not an overstatement to say that mass media are said to uphold noble duties playing big roles in educating the nation.
Pengembangan Sistem Informasi Akuntansi Kios Ikan Laut berbasis Web dan Mobile

Buyung Fitri's sea fish stand is a trading business that provides fresh sea fish which it operates in the Senapelan, Pekanbaru. This stand is capable of handling wholesale and retail sales. The absence of financial records that should be required in the trading business is a problem for the stand’s owner. Therefore, a recommendation solution is given to the owner to build a website system. This system can manage transactions that occur in the sea fish business to become financial reports. This system is build based on a website using the PHP CodeIgniter framework and MySQL. In addition, this study also built a mobile app that is used to view financial reports needed by users later. Based on black box testing, it can be concluded that both systems can run well. Then based on performance testing, it can be concluded that the website system built can be accessed quickly. While the android system has low memory usage so it can run well.
Development Educational Game Model “Rekreasiku” to Improve Childhood Language Literacy

The purpose of this research is to develop a valid and effective Recreational Educational Game for increasing early childhood language literacy. Literacy is a good culture to develop, literacy is reading, listening, writing, and speaking, the basic things that must be done. Unesco said that Indonesia ranks second from the bottom in terms of world literacy, meaning that people's interest in reading and writing is very low. Among the factors that influence literacy are habituation and the media. The type of research used is research and development from Bord and Gall. The research subjects were 2 Early Childhood Education Programs units in Jember. The instruments used were model validation sheets, educational game questionnaire sheets, and literacy tests. Data were analyzed by descriptive quantitative. So as to create an Educational Recreation Game activity to increase literacy in early childhood without leaving the principle of playing for children. The Educational Games carried out refer to the curriculum that has been used by Early Childhood Education Programs teachers. The results of the study show that the Educational Recreation Game that was developed is valid as an appropriate learning medium for increasing early childhood literacy. Effective for increasing children's language literacy.
Signal Modulation Recognition System Based on Different Signal Noise Rate Using Artificial Intelligent Approach

Everyone has paid much attention to modulation-type recognition in the past few years. There are many ways to find the modulation type, but only a few good ways to deal with signals with a lot of noise. This study comes up with a way to test how well different machine learning algorithms can handle noise when detecting digital and analogue modulations. This study looks at the four most common digital and analogue modulations: Phase Shift Keying, Quadrature Phase Shift Keying, Amplitude Modulation, and Morse Code. A signal noise rate from -10dB to +25dB is used to find these modulations. We used machine learning algorithms to determine the modulation type like Decision Tree, Random Forest, Support Vectors Machine, and k-nearest neighbours. After the IQ samples had been converted to the amplitude of samples and radio frequency format, the accuracy of each method looked good. Still, in the format of the sample phase, each algorithm's accuracy was less. The results show that the proposed method works to find the signals that have noises. When there is less noise, the random forest algorithm gives better results than SVM, but SVM gives better results when there is more noise.
Study of Perceptions and Obstacles from Postgraduate Education Students About Scientific Publication as a Graduation Requirement

The Cooperation, Publication and Internationalization Group was formed as a postgraduate support unit at the Universitas Negeri Surabaya to assist students in the process of producing and publishing scientific publications. In order to provide assistance and facilitation in writing scientific articles for Unesa Postgraduate Education students, it is necessary to analyze the perceptions and obstacles faced by students in writing scientific manuscripts. The purpose of this research is to find out the perceptions and obstacles faced by Postgraduate Education students at Unesa in writing a scientific manuscript as a graduation requirement. The research was carried out qualitatively by using questionnaires, observations, and interviews with the research target of Unesa Postgraduate Educationstudentst who attended workshops and scientific manuscript assistance by the Cooperation, Publication and Internationalization Group (CPI) in Odd Semester 2022/2023. The data will be analyzed using data triangulation. Based on the results of the analysis, some students feel the need to write scientific manuscripts as a graduation requirement because it is to train student skills, improve quality, and participate in the development of innovation in science and technology. Obstacles faced by students in writing scientific articles include difficulties in determining research topics, using English in writing manuscripts, also in choosing good and reliable journals.
Geochemical Criteria for Discriminating Shallow and Deep Environments in Oligocene-Miocene Succession, Western Iraq

The geochemical study of the Oligocene-Miocene succession Anah, Euphrates, and Fatha formations, western Iraq, was carried out to discriminate their depositional environments. Different major and trace patterns were observed between these formations. The major elements (Ca, Mg, Fe, Mn, K, and Na) and trace elements (Li, V, Cr, Co, Ni, Cu, Zn, Ga, Rb, Sr, Zr, Cs, Ba, Hf, W, Pb, Th, and U) are a function of the setting of the depositional environments. The reefal facies have lower concentrations of MgO, Li, Cr, Co, Ni, Ga, Rb, Zr, and Ba than marine and lagoonal facies but have higher concentrations of CaO, V, and Sr than it. Whereas dolomitic limestone facies are enriched V, and U while depletion in Li, Cr, Ni, Ga, Rb, Sr, Zr, Ba, and Pb Conversely, the lagoonal facies are rich in clay minerals and associated trace elements Li, V, Cr, Co, Ni, Cu, Ga, Rb, Zr, Ba, and Pb.
Dataset Gambar Wajah untuk Analisis Personal Identification

In today's era, which is supported by technological advances, personal assistance through the face can be carried out by sophisticated machines and robots. One of its applications is personal identification using data mining. But before conducting data training and data classification, it is necessary to carry out the process of data collection and data cleaning or data pre-processing. Currently the face dataset for personal identification at the Caltex Riau Polytechnic in particular is still in the form of raw data, namely in the form of a collection of images that have not been pre-processed. Therefore, this research will perform image preprocessing to clean up the image data that has been collected so that the data can become a cleaner source of information and can be used at a later stage. The data used in this study are image data or photos of Caltex Riau Polytechnic students. At the facial image pre-processing stage using the OpenCV library using the Python programming language. Images collected by 500 students for 5 students. The results of this study are the personal identification dataset of Caltex Riau Polytechnic students consisting of 280 images that have successfully passed the stages of grayscaling, cropping, resizing and Normalization. This dataset is stored in the file data_norm.npz. White box testing is carried out to determine the accuracy of the application of the image pre-processing stage with the test results stating that all functional basis paths applied are in accordance with the cyclometic complexity and its independent path.
Analisa Data Penjulan pada Toko Kelontong Musyawarah Menggunakan Algoritma Apriori

Musyawarah store is a grocery store that provides a variety of daily needs. The products sold at the deliberative shop include necessities, kitchen spices, toiletries, laundry soap, and house cleaners. So far, sales data has never been analyzed. Data analysis with data mining can generate new knowledge to help shop owners manage inventory strategies and display items for sale. This study aimed to determine the pattern of the high frequency of items sold in the Musyawarah grocery store using data mining methods. The Apriori algorithm analyzes sales transactions at the Musyawarah grocery store. Based on the observations and calculations that the authors have made of the final association results, namely, if you buy eggs, you will buy Indomie rebus with 50% support and 58% confidence, and if you buy Indomie rebus, you will buy eggs with 50% support and 100% confidence. While sasa is the product that does not sell well with the smallest confidence value.
Novel Approach for Generalizing the Process Chain of Optical Satellite Images Based on Knowledge Capitalisation

Optical remote sensing from satellites such as SPOT, Landsat, Sentinel2, Terra Modis, offers exceptional solutions for monitoring the earth’s surface. Indeed, these satellites deliver multi-source, multi-date images. These are Bigdata, voluminous, heterogeneous and their treatment are not only complex but also require a lot of time. Studies have been carried out on the formalization of experimental protocols in satellite image processing. Those propose automated processing chains. But, these solutions are specific and their reuse are not possible for other cases. Our reflection allows us to propose a new approach for generalizing the optical satellite image processing chains. This approach respects standards in knowledge capitalization. The objective is to ensure the interoperability to the use of optical satellite images. Metamodels for the generalization of processing chains, a method of execution, generalization rules and implementation prototypes have been developed. These results are obtained through theoretical analyses and also experiments on the processing of multidate, multisource optical satellite images applied in multisectoral domains. Thus, this research solves today’s interrogability problem in the processing of satellite images optical.
Understanding end-users’ perspectives on koha usage in selected university libraries of Dhaka, Bangladesh

Purpose: The research aims to figure out the present state of Koha usage and application in Bangladesh. Methodology: The Survey method was employed with the help of a structured questionnaire. A total of 60 (Sixty) respondents were randomly selected who were getting services through Koha from the libraries. We gathered data from the participants of BRAC University Library; BUET Central Library; Eastern University Library; EWU Library; IUB Library; DIU Library; SAU Library; and Green University of Bangladesh Library. Collected data were analyzed using SPSS (20.0 version) and general statistics. Findings: Findings indicated that most of the respondents (65%) reported Koha was easy to use, while 35% of them had a negative impression. The study explored that users expressed their highest satisfaction level with the statement ‘notifications of new arrival materials (M=3.88), Self-renewal’ (M=3.83), while the lowest M=3.40 with the statement ‘understanding user interface’’ regarding day-to-day usage of Koha. Research limitations: The study covered the perspectives of students as users only for some selected university libraries of Dhaka City. It would be better to include the university libraries of other cities in Bangladesh as well as the perspectives of faculty users. Practical implications: The results will be helpful to the university libraries of Bangladesh which are planning to adopt Koha in near future. Originality/value: This is original research that empirically assesses the use and application of Koha at selected university libraries. Keywords: Koha, university libraries, user's perceptions, Dhaka city, integrated library management system.
Implementasi Metode LCG Pada Aplikasi CBT Untuk Tes Potensi Akademik Berbasis Web

In the Academic Potential Test of new students at the Raudhatul Akmal Islamic College (STAIRA) Batang Kuis, do not yet have a Computer Based Test (CBT) or a computer-based exam for the freshman academic potential test exam. So that the exam is still carried out manually and costs a lot of money in its implementation. But it also makes the exam process less carried out because some students can cheat when filling in answers by cheating friends. Therefore, in this study aims to create a web-based Computer Based Test (CBT) application and randomize the questions in it by applying the Linear Congruent Generator (LCG) method. The result of this study is a web-based application for academic potential test exams that are expected to overcome the problems that exist in the current STAIRA Batang Kuis. The order of the questions will be automatically randomized when students conduct an academic potential test exam based on their respective student identification numbers.
Pengembangan Chatbot “Ciovita” Virtual Assistant Cioccolato Brownie Semarang Dengan Metode Waterfall

Cioccolato brownie is a business engaged in the food business, namely brownies. In doing business, Cioccolato brownie performs the traditional process of presenting information to consumers to obtain product and development information. Where by contacting and communicating through the admin or business owner via short messages. Therefore, consumers will take a long time to get the desired business or product information. Meanwhile, business owners or admins also become inefficient and inefficient in running a business, because they must be effective in sending messages that may be carried out between one consumer and another. Therefore, to overcome the problems faced by Cioccolato brownie, a virtual assistant chatbot based on website, line and telegram was created. A virtual assistant chatbot named Ciovita. The method used in the development of a virtual assistant with the Waterfall Model is modeled with Usecase, activity diagram and sequence. The final result of the development of this virtual assistant chatbot is a website, line and telegram that can facilitate the provision of product information on Cioccolato brownie, so that it will help Cioccolato brownie in carrying out its business activities more effectively and efficiently.
Mobile Application with Augmented Reality Focused on the Study of Human Anatomy

Education in current times has taken leaps and bounds, so the use of traditional classrooms in conjunction with textbooks and static 2D images is no longer enough, even more so in the teaching of human anatomy, which requires images, didactic methods, and easy understanding. In that sense, Augmented Reality (AR) is a technological tool that takes on great importance in various areas and education is no exception. For this reason, this research describes the results of the development of an application with AR focused on helping in the study of human anatomy, being developed with ARCore technology and the Unity IDE, following the Mobile-D methodology. The results were analyzed in 3 indicators (amount of light required, time required for surface recognition, and ease of use of the application), of which in the first indicator a good performance was obtained requiring only 30 lux for recognition of illuminated flat surfaces; for the second indicator, it was obtained that the delay time is 3 seconds, which makes it acceptable; for the third indicator, it was obtained that 93% of participants interviewed in the research agreed that the application is easy to use and very easy to use. From the developed application was concluded that this, in general terms, has good performance in the sections of the amount of light required, the time required, and ease of use.
3 Key Concepts in Machine Learning and Data Analysis

Throughout this book, machine learning is employed in order to enhance the knowledge about the structure of our universe and the understanding of particle interactions through large data-producing physical experiments. This chapter gives an overview of the structure of machine learning as a scientific discipline. Since we cannot detail the methods and their foundations, we add pointers to relevant textbooks and survey papers. Our goal is to raise awareness about the theoretical basis of machine learning so that the software that machine learning generously offers is always used with the appropriate caution.
A Systematic Review of Mobile Learning Trends in Supporting the Mastery of Spelling

Teaching and learning to spell forms the basis for mastering English Language. The emerging mobile learning trends in the current 21st century education is useful in teaching and learning spelling. However, there were limited reviews about them. As such, a systematic review was conducted to provide an up-to-date synthesis on the mobile learning trends in supporting the mastery of spelling from year 2012 to year 2022. This review adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses which is also known as the PRISMA guideline. Three databases were involved: Web of Science, Scopus and Educational Resources Information Centre. After a rigorous screening process, a total of 19 articles fitted its objectives. Firstly, significant findings from the studies portrayed the use of four platforms in mobile learning trends in supporting the mastery of spelling namely mobile apps, spell-checker apps, word prediction apps and text messaging apps. Secondly, the primary level of education was more dominant in the related studies than the secondary and tertiary levels. Thirdly, it emphasised more on the students with a lower prevalence on teachers and both teachers and students as the respondents in the associated studies. This paper contributes to systematically reviewing 19 eligible related studies through a step-by-step protocol of identification, screening, eligibility and included as in the PRISMA guideline to establish quality review. It benefits both the English Language teachers and students in utilising various mobile learning platforms to support the mastery of spelling at all levels of education. It aspires to foreground the paucity in this topic in which more substantial studies are required to address the research gaps. The ultimate goal is to impose effective and practical strategies to advance mobile learning trends in supporting the mastery of spelling.
3.3 Label Proportion Learning

For the interlinked process of producing steel bars, quality information is given in statistical form for whole charges of blocks, i.e. we know the fraction of blocks which had quality related problems. This poses a new kind of problem for machine learning, since almost all supervised learning methods assume to be given labels for individual observations instead of groups. The problem of learning from fractions of labels has become known as the problem of learning from label proportions. In this contribution, the learning problem and existing methods for solving it are introduced, as well as a clustering-based method called Learning from Label Proportions by Clustering (LLPC) developed in the context of project B3. It is demonstrated that LLPC outperforms methods that were considered the state of the art at that time in terms of prediction and runtime performance. Moreover, the relation to resource-constrained learning settings such as distributed learning is shown.
Shadow Removal in Vehicle Detection Using ResUNet-a

In traffic monitoring for video analysis systems, vehicle shadows have a negative effect on their performance. Shadow detection and removal are essential steps in accurate vehicle detection. In this paper, a new method is proposed for shadow detection using a novel convolution neural network architecture. In the proposed method, the edges of the image are first extracted. Edge extraction reduces calculation, and accelerates the execution of the method. The background of the frame is then removed and the main features are extracted using the ResUNet-a architecture. This architecture consists of two parts: the encoder and the decoder, which detect the shadow at the decoder output and then remove it. Deep learning is used to detect shadows, which increases the accuracy of the analysis. The ResUNet-a architecture can learn complex, hierarchical, and appropriate features from the image for accurate feature detection and discarding the irrelevant shadow, thereby outperforming conventional filters.The results show that the proposed method provides better performance on NJDOT traffic video, highway-1, and highway-3 datasets than popular shadow removal methods. Also, the method improves the evaluation criteria such as F-measure and runtime. The F-measure is 94 and 93% for highway-1 and highway-3, respectively.