Reviewerly/exHarmony huggingface dataset:
PENERAPAN BUSINESS INTELLIGENCE NETWORK OPERATION &amp; QUALITY CONTROL DASHBOARD PADA PT. BAKRIE TELECOM

Information systems at PT. Bakrie Telecom has been running still focused on transactional data so only the current information system is monotonous, rigid and less interactive. This condition causes stakeholders and the level of managerial can not optimally serve in managerial field because not optimal in data analysis about the state of implementation of the program. Therefore we need a Business Intelligence Software that providing information data which will be used in decision support by using Datawarehouse. Datawarehouse support for management decision by collecting and organizing data analysis and reporting for management.
PENGELOMPOKKAN BERITA KESEHATAN PADA SOSIAL MEDIA TWITTER DENGAN METODE K-MEANS CLUSTERING

Twitter is one of the most influential social media in the world with 15.7 million users in Indonesia and is ranked 6th as the country with the most Twitter users. Besides being used as social media, Twitter is also used as a medium to read or send news. News information that continues to increase causes users to have difficulty in finding certain news information. One solution that can be applied to overcome this problem is through clustering of news information on Twitter. In this study, the researcher used quantitative research with the K-Means Clustering method, which is one of the clustering methods used in grouping data. The data used in this study is a dataset taken from the UCI Machine Learning Repository, namely Health News in Twitter Data Set as many as 14,970 tweet data. The results showed that the determination of the best cluster using the Elbow method on the dataset resulted in empirical evidence that the best cluster was K=3. The results of grouping health news on Twitter social media using the K-Means Clustering method with K=3 resulted in the number of clusters, namely C1 as many as 4,991 data tweets, C2 as many as 4,482 tweets data, and C3 as many as 5,497 tweets.Keywords: Health News Grouping; Twitter Social Media; Elbow Method; K-Means Clustering Method.
Validity of Rapid Diagnostic Test Kit Keeping Light Microscopy in Diagnosing Malaria in Febrile patients

Background: Malaria is the common health problematic disease and it causes major number of mortality and morbidity. It must be diagnosed accurately and rapidly. A rapid and correct diagnosis can reduce the sufferings. So it’s essential to establish an appropriate and reliable laboratory procedure for malaria diagnosis. Microscopic examination of blood film is taken as the gold standard method. Aim: To assess the reliability and validity of rapid diagnostic test kit, so that the rapid and a cost effective diagnostic method may be adopted for the timely diagnosis, and treatment may be offered to patients Methodology: 350 patients having history of fever were taken for this Cross sectional validation study. Tested by ICT rapid diagnostic kit for detection of malarial antigen and results were then compared with gold standard microscopic results Results: for the 350 suspected patients the rate of positivity and negativity were 60% and 40% respectively by microscopic examination and for ICT for detection of malarial antigen were 58% and 42% respectively. Specificity and sensitivity for antigen detection by ICT when it was compared with microscopy of blood smear was 95% and 93.33% respectively. Its overall diagnostic accuracy was good and it was 94% Conclusions: ICT for antigen can diagnose malaria reliably. It is rapid; simple has good sensitivity and specificity. It can detect very low level of parasitic infection and can be performed at point of care and for screening at mass level. No special equipment or high level of setup and skills needed for it. Keywords: Malaria, test kit, microscope
Design and Fabrication of Dynamic Wheelchair

Abstract: The research proposes a solution to implement The purpose of this project was to manufacture the multipurpose wheelchair in low cost which promote mobility and enhance the quality of life for the people who have difficulties in walking. This product make the users to lift the patient directly from the bed which help to reduce the pressure injuries. Along with the reducing the cost of product, we also aim to minimizing the pressure injuries and fall. Other specialty of the multipurpose wheelchair is, we can use it on indoor as well outdoor. Then after the completion of project we have successfully achieved what we set out to bring in wheelchair. We made a better multipurpose wheel chair with all safety measures, low cost and high quality. It provide a safe transferring of patients from one place to another place. The procedure that is used for transferring patients is very simple and unique Keywords: Patient, Wheelchair, Multipurpose wheelchair, Smart Wheel chair
PENGEMBANGAN MEDIA PEMBELAJARAN TEMATIK BERBASIS KOMIK BERSERI TERHADAP MINAT BACA SISWA KELAS IV DI MIN KOTA MEDAN

This comic design aims to determine students' interest in reading related to thematic learning during the pandemic. This research was developed using the Brog &amp; Gal model which was simplified into 5 stages, namely: researchers collecting data, product analysis developed, developing initial products, expert validation and design and revision, small field trials and product revisions, large scale field trials and the final product. Taking questionnaires, interviews, data were analyzed using descriptive analytic is data collection. The results of this study are thematic learning media based on comic series are declared valid with a very feasible category with a percentage of 97.83%. It was declared practical with a percentage of 76.49% in the very practical category, and effective with a percentage of 79.56%.
VALIDITAS E-MODUL IPS LECTORA INSPIRE BERBASIS DISCOVERY LEARNING UNTUK KELAS IV SEKOLAH DASAR

During the Covid-19 pandemic, the implementation of online learning carried out by teachers, tended to only use the WhatsApp application as a medium in assigning assignments and collecting assignments by students. Learning resources used by students at home are not yet innovative, only sourced from books and Student Worksheets (LKS). In addition, the social studies material contained in the book is not in accordance with the curriculum. This research aims to describe the validity of the IPS Lectora Inspire e-module based on discovery learning for the fourth grade of elementary school. The research method used is Research and Development (R&amp;D). This research is a research method used to find, develop and validate a product. This research went through three stages, namely the define, design and develop stages which were adopted from the 4-D model developed by Thiagarajan which was then modified into 3-D. The data collection technique uses a questionnaire. The instrument for collecting research data is in the form of a validity questionnaire sheet. The e-module is validated by two experts, namely a material expert and a design expert. The data from the validation sheet were analyzed quantitatively, then used descriptive techniques to draw conclusions qualitatively. Based on the results of data analysis, the validity of the material aspect was 89% and the validity of the design aspect was 83% with an average of 86% with very valid criteria. Thus, the IPS Lectora Inspire e-module based on discovery learning for grade elementary school produced can be used in the learning process.
La Netopraxis: Una hermenéutica del lenguaje digital

The research conducted addresses the concept of Netopraxis as a hermeneutics of language that seeks to understand, in the phenomenon of the digital, a particular and singular praxis called Net. The Netopraxis not only belongs to the field of a practical philosophy, but also to that of ontology, since it unveils an existential structure through digital language, which, as a clarifying action, unmasks apparent problems and helps to solve real problems in the digital framework. Netopraxis is a functional unit of digitalization, which represents a linguistic act of human praxis and builds a dialogical and relational action between human action and digital action that occurs in the update.
Optimized Extreme Learning Machine

Abstract: Extreme Learning Machine (ELM) is a learning method for single-hidden layer feedforward neural network (SLFN) training. The ELM strategy speeds up learning by generating input weights and biases for hidden nodes at random rather than modifying network parameters, making it much faster than the standard gradient-based approach. In this project, an ELM optimized by Hybrid Particle Swarm Optimization approach is presented to optimize the input weights and hidden biases for ELM. We will analyze and obtain results for benchmark datasets. The Optimized Extreme Learning Machine algorithm's output is compared to publicly available data. Later we will compare different algorithms and check which one gives better output metrics. Keywords: ELM, SLFN, PSO, Gradient-based approach, Optimization
Security in Cloud: From Individual to Multi Cloud

Abstract: The use of cloud technology has increased in many businesses.Cloud providers should handle privacy and security concerns as a top priority. Customers are increasingly less interested in dealing with "individual cloud" suppliers due to potential issues such as availability and performance failure and the threat of hostile intruders in the individual cloud. This study focuses on the problems regarding cloud computing's data security. Usage of cloud computing wish to avoid using an unscrupulous cloud provider because their information and data will be transferred with a third party. Protecting sensitive and confidential information from attackers or malicious insiders. Keywords: Security, Individual cloud, Multi-cloud.
Preface

Welcome to the 2022 IEEE 7th International Conference on Big Data Analysis (ICBDA2022) conducted online from China on 4-6 March 2022. It is a great privilege for me to present the proceedings of ICBDA2022 to the authors and delegates of the event. We hope that you will find it educative and inspiring. The conference has attracted papers from international researchers and scholars in this field with emerging applications touching upon various sectors. The aim of ICBDA2022 is to provide a professional platform for discussing research issues, opportunities and challenges of big data analysis. ICBDA2022 envisions a bright picture for big data analysis while the support received and the enthusiasm witnessed has truly exceeded our expectations. On the eve of completion of this long journey, we are delighted with satisfaction and appreciation. Unfortunately, due to the impact of Covid19, we have to hold the conference online again this year. In any case, we would like to sincerely thank various contributors, reviewers, organizing committee members for providing a great conference platform to engage discussions among the participants
PANDANGAN SISWA TERHADAP DESAIN BERBANTUAN KOMPUTER DALAM PELATIHAN SOLIDWORKS DI SMK NUSANTARA KUDUS

An activity of collaboration between Mechanical Engineering Department of Sanata Dharma University and SMK Nusantara Kudus was conducted. The percepetion of High School Students of SMK Nusantara Kudus about Computer Aided Design was measured during the Solidworks Training as the main activity. Pre- and Post-Questionnaires were delivered among the 20 students joining the activity. Nineteen of them returned the questionnaires of 10 positive statements with 3 conditions of answers i.e. agree, disagree, and undecided. The results show that the students mostly are interested in designing manually and computer based. It also mentions that they appreciate CAD skills as their important future work skill. The activity did not affect the interest of the students in term of designing but helped them to be more engaged to the CAD.
RANCANG BANGUN SISTEM INFORMASI WEBSITE PROGRAM STUDI TEKNIK INFORMATIKA UNUSIA MENGGUNAKAN METODE WATERFALL DAN FRAMEWORK LARAVEL

&#x0D; The development of the internet has been used for various purposes, one of which is in conveying information through the media website. website is the cheapest, effective and efficient promotional media if it can be managed properly. Department of Information Engineering, Faculty of Engineering and Computer Science, University of Nahdaltul Ulama Indonesia has a website as a medium for disseminating information to students, lecturers, staff, and the general public, but it is not optimally used and there are shortcomings such as the appearance of the website that is less attractive and not responsive. Therefore, it is necessary to design a website as a medium of information. This research uses the waterfall method. Making a website information system using the PHP Laravel programming language framework and Javascript with a database using Lite Speed ​​and other supporting software.&#x0D; The result of the research is that a website-based information system has been built that can facilitate students, lecturers, staff and the general public in obtaining information related to activities or activities in Information Engineering, Faculty of Engineering and Computer Science, Nahdlatul Ulama University, Indonesia. The website information system as a dynamic source of information will continue to display the latest or updated news related to majors or study programs&#x0D;
Approximation of the Binomial Probability Function Using the Discrete Normal Distribution

A new method of approximating the Binomial probability function is introduced. The method is based on the discrete normal distribution. In particular, the discrete normal probability function is used to approximate the binomial probability function. The new approximation is compared with the exact values and the approximation based on Central limit theorem. The maximum absolute error of the approximation is used to measure the accuracy of the method. It turned out that this method of approximation is useful and easy to use in practice. Also, the result can be an important theoretical statistical result that can be used in educational statistics.
Penguatan Pemahaman Siswa Kelas Xii Melalui Pelatihan Akuntansi

SMA Negeri 6 Bogor is a senior high school in the city of Bogor. The majors at SMA Negeri 6 are science and social studies, one of the problems faced during online schools is regarding the understanding and ability of class XII students, especially social studies majors in accounting subjects, so there are concerns by the teacher that it will have an impact on students' final grades. The Accounting Study Program of college of Vocational Studies of IPB which consists of lecturers and students conducts accounting training for class XII students majoring in accounting with basic accounting materials and is proficient in preparing financial reports. This activity lasted for 1 day with 67 participants. The method applied in this community service activity is a descriptive analysis method with lectures and accounting practices from journal recording to the preparation of financial reports. The purpose of this community service activity is to strengthen understanding of accounting and proficient in preparing financial reports for students of SMAN 6 Bogor. Based on the post test results, it is known that 85% of students at SMAN 6 Bogor majoring in accounting are able to improve their understanding of accounting and prepare financial reports correctly, besides that students become motivated to study accounting and are optimistic that they will get good grades on the exam later.
BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling

This paper describes the BLCU-ICALL system used in the SemEval-2022 Task 1 Comparing Dictionaries and Word Embeddings, the Definition Modeling subtrack, achieving 1st on Italian, 2nd on Spanish and Russian, and 3rd on English and French.We propose a transformer-based multitasking framework to explore the task.The framework integrates multiple embedding architectures through the cross-attention mechanism, and captures the structure of glosses through a masking language model objective.Additionally, we also investigate a simple but effective model ensembling strategy to further improve the robustness.The evaluation results show the effectiveness of our solution.We release our code at: https://github.com/blcuicall/SemEval2022-Task1-DM.
STATISTICS PROBLEMS USING MAXIMA SOFTWARE

Maxima is a computer algebra system software which is Free Open Source Software (FOSS).In this paper, we solved statistics problems on correlation coefficient and Spearmn's rank correlation using maxima where speed matters for numerical computation.With easy and simple commands it reduces the time taken for tedious calculations of lengthy problems and helps in obtaining quick solutions for similar statistical problems.Overall the maxima software is a friendly software which is easily accessible.In future, it will be definitely a stepping stone for students, teachers and for researchers in the field of statistics.We solved several examples to exploit the capability of maxima by its many commands for computations in statistics.
CREATION AS A MEANING OF PERSONAL PSYCHOLOGY

ABSTRACT&#x0D; The aim of this study is to clearly define creativity as a means of reflecting a person’s psyche, linking it to creation from the perspective of different researchers.&#x0D; Literature review as a research method has been used for theoretical analyses of the existing literature reflecting the personality and creativity. This paper discusses literature review as a methodology for conducting research and offers an overview of different researchers on the topic of the study. &#x0D; The analysis of the research results made it possible to compile understanding of creation or creativity as a meaning of personal psychology from the perspective of different authors. Results of the study indicate that creativity itself is quite complicated and it applies on in each component of the personality and still the reflection is different and ideology behind various from different perspectives. Still, there is no any unique understanding of creativity or creation while talking about personal psychology.
Instantaneous Frequency and AOA Estimation of Multicomponent Signals based on Born-Jordan Distribution

Based on the spatial sample of the multi-component signals by the array antenna, using BornJordan distribution which is a kind of typical Cohen type time-frequency distribution, the detection and estimation approach of the spatial multi-component signals' angle-of-arrival and instantaneous frequency is proposed by comparison of the instantaneous frequency of the signals at the same time from the point of digital signal processing. The simulation results show that the proposed method not only has high noise performance, but also enhances the real-time performance of the spatial signal detection.
THE USE OF AUDIOVISUAL MEDIA TO IMPROVE ENGLISH LISTENING ABILITY ON X CLASS STUDENTS OF SMK NEGERI 4 LAHAT HOSPITALIZATION DEPARTMENT IN ACADEMIC YEAR OF 2018/2019

This research was conducted in SMK Negeri 4 Lahat whose students' ability to listen to English is quite low. The purpose of writing this classroom action research (CAR) is to find out whether Audio-Visual media can increase student activity and achievement. The data collection methods are observation and learning achievement tests. The data analysis method is descriptive both for qualitative data and for quantitative data. The results obtained from this study are Audio-Visual can increase student learning activities and achievement. This is evident from the results obtained in Cycle I is 6,5 for learning achievement. From Cycle I to Cycle II it rose to 8,3 for learning achievement. The conclusion obtained from this research is that Audio-Visual media can improve learning achievement.
How to Enhance the Sharing of Cyber Incident Information via Fine-Grained Access Control

Industry 4.0 and the ongoing digital transformation along with a large number interconnected machines anddevices increase the role of cybersecurity, cyber incident handling and incident response in the factories of the future (FoF). Cyber incident information sharing plays a major role when we need to formulate situational pictures about FoF operations and environment, and respond to cybersecurity threats related to e.g. the implementation of novel technologies. Sharing of incident information has a major drawback since it may reveal too much about the attack target, e.g. in the case of legacy systems and therefore restrictions may apply. We have developed a proof-of-concept service that combines access control and encryption of data at high granularity and a mechanism for requesting access to restricted cyber incident information. Theobjective was to demonstrate how access to restricted incident data fields could be managed in a fine-grained manner to enhance information sharing.
Quantum Jaynes–Cummings model for a two-level system with effects of parametric time-dependences

An approach to exact quantum solutions of the time-dependent two energy level Jaynes–Cummings model with an imaginary photon process is represented in this work. The Lewis–Riesenfeld invariant treatment and the unitary transformation method are used for this purpose. The original Schrödinger equation is reduced to an equivalent solvable one through unitary transformations by using suitable unitary operators. The reduced equation corresponds to a simpler Hamiltonian which is written as a linear combination of the generators of the reduced-dimensional SU(2) algebra. A Hermitian invariant operator is constructed based on the same algebraic formulation and its instantaneous eigenfunctions are obtained. By utilizing such eigenfunctions, the complete quantum wave functions of the system are evaluated. Such wave functions are necessary when we analyze the quantum characteristics of the system.
Application of Opinion Mining and Sentiment Analysis

An important part of information gathering is to find what peoples think. With the large and growing availability of opinion-rich resources like blogs, forums, e-commerce, social media websites, etc, have a huge collection of people's views on their websites. Users' opinions thoughts views reviews and experiences are valuable information used in the decision-making process. To determine the feelings and emotions opinions among the thinks is a quite challenging task, which Creates research on opinion mining and sentiment analysis. This paper represents the process of opinion mining and sentiment analysis with their various challenging applications. Future research is planned in opinion mining and sentiment analysis. Keywords: Opinion mining, Sentiment Analysis, Tweet, Challenges, application.