Reviewerly/exHarmony huggingface dataset:
Asisten Navigasi untuk Orang dengan Gangguan Penglihatan Menggunakan Ultra Sonic (Sonar Vision) Untuk Yayasan Mitra Netra

Generally, people with visual impairments in the low vision category use sticks to find ways to deal with obstacles in front of them. However, this detection can only be felt as long as the stick is used. The purpose of this community service activity is to made a sonar vision set using a sonar sensor that can be attached to the wrist and belt. This device is designed to detect obstacles up to a distance of 3 meters. This activity was carried out at the Mitra Netra Foundation. The approach used is the creation, provision and education of the use of the Sonar Vision module for people with visual impairments. The results of this activity show that 100 low vision sufferers have benefited from this system, where 84% of them feel that sonar vision helps them in navigation.
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling

The Intelligent Conversation Engine: Code and Pre-trained Systems (Microsoft Icecaps) is an upcoming open-source natural language processing repository. Icecaps wraps TensorFlow functionality in a modular component-based architecture, presenting an intuitive and flexible paradigm for constructing sophisticated learning setups. Capabilities include multitask learning between models with shared parameters, upgraded language model decoding features, a range of built-in architectures, and a user-friendly data processing pipeline. The system is targeted toward conversational tasks, exploring diverse response generation, coherence, and knowledge grounding. Icecaps also provides pre-trained conversational models that can be either used directly or loaded for fine-tuning or bootstrapping other models; these models power an online demo of our framework.
Expert System of Text Mining to Analyze Student Interaction in FTKI UNAS Online Lectures: Expert System of Text Mining to Analyze Student Interaction in FTKI UNAS Online Lectures

Interactivity is the student activities or relationships between students with anything related to the course, his example by attending a class attendance responds directly at the appointed hour. What is meant here is the liveliness activities interactivity of students to answer the questions that exist in the online lecture forum, whether he is copying and pasting answers with other students or not. The number of student answers archives make web manager can not judge whether the student was copying and pasting the answer to her or not. Therefore we need a system that can provide a connection weights to archives word answers and calculates similarities between students answer word. To analyze the data from these students, writers manipulate the data using text mining. This research using tf-idf method cosine similarity, the parameters used are folding case, tokenizing, stopwords and stemming. The results of this study are that have a common answer to answer other students not considered effective in the online lectures, corresponding similarity weight percentage of statutes that have been determined.
Uruguay’s COVID-19 contact tracing app reveals the growing importance of data governance frameworks

Uruguay’s pioneering adoption of Google and Apple’s contact tracing interface is understandable given the urgent need to halt the spread of COVID-19. But this move also puts serious issues of governance, health policy, and human rights in the hands of software developers who have neither the expertise nor the legitimacy required to properly address them. During today’s crisis just as in the future, governments must ask the right questions about data governance if they are to come up with the right policies, write Fabrizio Scrollini (ILDA), Javier Baliosian (Universidad de la Republica), Lorena Etcheverry (Universidad de la Republica), and Guillermo Moncecchi (Universidad de la Republica).
Estimation of gold mineralization using remote sensing techniques based on index calculation: Case of Betsiriry region, western Madagascar

It is undoubtedly true that the development of a country depends on the exploitation of these resources. In the case of Madagascar’s Island, it is home to countless natural biological and mineral resources. Yet the island is underexplored, with most of the country's geological data dating from the 1950s. The use of modern technologies in mineral exploration and research facilitates and gives us many advantages. The time and investment cost will be less, but the results are reliable depending on the procedures to be followed in the processing, analysis and interpretation of the data acquired. By using ENVI software for ASTER and Landsat8 images, Index  calculation of certain minerals, color composite and band ratio of the different spectral bands are the methods adopted to see the spatial distribution of gold deposits available in the study area located in the Betsiriry region in the western part of Madagascar. Field survey for verification is always recommended after software treatment, data analyses and interpretation.Key words: Geographic information system (GIS), remote sensing, gold, betsiriry, index calculation.
Towards Cross Project Vulnerability Detection in Open Source Mobile Applications

Open source software avails its design publicly posing enormous risk to enterprises. Early vulnerabilities detection is an important step towards building secure open source mobile applications.  Cross project vulnerability detection plays significant roles in appraising the most likely vulnerable components. However, current vulnerability detection models that identify vulnerable components are focused on reducing time and effort needed to secure software using process or product metrics and machine learning techniques. Conversely, little effort has been spent to deliver modalities to choose the training data for cross project vulnerability detection. Therefore, we present an empirical study and experiment to demystify cross project open source mobile app vulnerability detection using clustering, a data mining technique to group similar data. The study will be conducted on publicly available dataset of several open source mobile applications and in the context of cross project vulnerability detection.
Lists of Opportunities: My Experience as a School Librarian During the COVID-19 Pandemic

In this paper I share my experiences, opinions and perspectives of running a school library during the COVID-19 pandemic. I discuss the difficulties and problems I have encountered, but also the opportunities for creativity that have presented themselves. From experiencing government cutbacks to layoffs and school closures, I discuss my feelings and frustrations about COVID-19 and how it prevented me from doing my job. I demonstrate how the pandemic heightened the feeling of isolation and loneliness in a job that can already make one feel disconnected; I highlight the importance and need for human connection. I also examine the new creative opportunities that working during a pandemic has given me, like asynchronous programming, collection development, professional development and a chance to experiment or renovate. This paper is meant to highlight the importance of school libraries and start a discussion of our role before and after the pandemic. Advocacy helps ensure that school libraries remain open. My goal is to give a glimpse of day-to-day library practice in a school library during the pandemic and share ideas and information with the library and information community. My views and opinions are my own, and the context will be different in every school.&#x0D;
마당놀이를 활용한 한국문화교육 연구

Background: As Korean language education develops, Korean culture is emphasized, too. Even with recognition of the importance of language classes accompanying Korean culture in the classroom, there are many difficulties when connecting those in actual classes. This is because the culture is based on time, space and experience in daily life. Purpose: 'Madangnori' has the same attributes as the nature of this culture. The openness, flexibility, and distinctiveness of Madangnori are enough factors for Korean language education including Korean culture. Methodology/Approach: First, the theory of Madangnori is established. Second, from the standpoint of Korean language education, Madangnori that can be targeted at beginner, intermediate, and advanced level is selected. Third, the contents of language education and cultural education for each level are suggested. Findings/Conclusions: Therefore, this research suggests Korean language education using 'Madangnori', composed of cultural elements of Korean traditional music, dance, literature (narrative) and drama. Theme of beginner level is the daily life of Korean people, includes introducing the names of Korean food as language education, and playing 'Gatekeeper game', which is one of various forms of Ganggangsulae, as culture education. At intermediate level, I propose performing a puppet show after learning a fairy tale, 'The Sun and The Moon', and playing 'Rice cake selling' game on mingling phase. The advanced level introduces 'Pansori' through 'Chunhyangjeon' and base rhythm of 'Samulnori' through 'Ichae rhythm'. Implications: There is a great implication that 'Madangnori' has, which can embrace the multinational background of Korean language learners with an open consciousness. This is because it is likely to be developed into a common culture or a global culture beyond blood ties, religion and locality. With the activities that utilize various elements of 'Madangnori', it is possible to realize the goal of 'Korean language education', which is 'fluent communication'. We hope that this paper will be a practical and useful material that provides productive and concrete cultural contents in Korean language education.
Kemampuan Memproduksi Teks Anekdot Siswa Kelas X SMA di Kota Mataram

This study aims to measure the ability of class X students in the city of Mataram in producing anecdote texts in Indonesian language learning. The research data collection was carried out by the method of observation and documentation with the technique of free competency involvement. The analysis of the research was carried out qualitatively and quantitatively by connecting the intralingual equivalent method of link-to-equalize, connect-to-differentiate, and link-to-equalize the main things for secondary education students in the city of Mataram and to smooth the course of the research 113 students were selected as samples. Provided that all students have received the same learning. The results showed that the students' ability in producing anecdotal literary genre texts ran quite well. This research was conducted to see the results of students 'writing skills at the intermediate and is expected to be successful in helping teachers improve students' writing skills in producing text anecdotes.
IMPLEMENTASI RESTFUL SERVER MENGGUNAKAN LIBRARY CHRISKACERGUIS CODEIGNITER 3

Abstract REST is a data exchange architecture using the HTTP protocol. REST Server provides data to be accessed by the REST Client using data exchange with JSON format. In the HTTP protocol, there is no data exchange authentication mechanism so that anyone can store, modify, delete data. One way to overcome the authentication of the REST architecture is an authentication system. Codeigniter goes through the CodeIgniter RestServer library which supports a fully RESTful server implementation. The CodeIgniter RestServer library can perform message authentication and integrity. The given authentication is to provide an access key, the REST Server access limit. This study implements REST Server authentication using the PHP Codeigniter 3 framework. The results of this study are a REST Server that has authentication in the form of key access, access restrictions per unit time. Keywords : RESTful, Protocol HTTP, Library REST Server REST merupakan arsitektur pertukaran data menggunakan protokol HTTP. REST Server menyediakan data untuk diakses oleh REST Client menggunakan pertukaran data dengan format JSON. Pada protokol HTTP tidak ada mekanisme otentikasi pertukaran data sehingga siapapun dapat menyimpan, mengubah, menghapus data. Salah satu cara untuk mengatasi otentikasi dari arsitektur REST diperlukan sistem otentikasi. Codeigniter melaui library CodeIgniter RestServer yang mendukung implementasi fully RESTful server. Library CodeIgniter RestServer dapat melakukan otentikasi dan integritas pesan. Otentikasi yang diberikan yaitu memberikan key akses, batas akses REST Server. Penelitian ini melakukan implementasi untuk otentikasi REST Server menggunakan framework PHP Codeigniter 3. Hasil dari penelitian ini adalah REST Server yang memiliki otentikasi berupa key access, pembatasan akses per satuan waktu. Kata Kunci : RESTful, Protocol HTTP, Library REST Server
USING AUTHENTIC MATERIALS IN IMPROVING LISTENING COMPREHENSION SKILL

The main issue of this study is to describe and identify the students’ low abilities in the Listening Comprehension skill. Authentic materials used in this research are adopted to the syllabus for the students of class ten of senior high school. These materials are in narrative, descriptive and news items. This study used CAR (classroom action research) design by using both qualitative and quantitative approaches. The total numbers of the subject were 38 students. There were only one cycle in this study, the cycle consisted of four activities, namely (1) planning, (2) implementation of the action, (3) observation and (4) reflection. The data collected in this study were derived from observation, questionnaires and field notes. The quantitative data were obtained from the test through post test at the end of the cycle. The results showed that the classical achievement of the students 78.94% and had exceeded the criteria of success which was 75%. The purpose of this study is to help English teachers and students improve the knowledge of the listening comprehension skills.
Ensemble Models for Aspect Category Related ABSA Subtasks

Many E-commerce and social networking sites have a vast amount of data shared on them. This data is in the form of text, images, audio, and videos. However, people are more accustomed to sharing their experiences or views, about the products purchased by them using textual data. Usually, the users have a good and/or bitter experience about the particular feature of the product, instead of the product as a whole.  In this paper, we have performed sentiment analysis of reviews at a deeper level which is known as Aspect Based Sentiment Analysis (ABSA). ABSA allows analyzing data at a finer level. For ABSA, the Aspect Category Detection and Aspect Category Polarity are two subtasks of ABSA related to aspect category. These subtasks aim to detect the aspect categories referenced in the review along with the polarity for each of them. In this paper, we focus on these subtasks for Hindi ABSA Dataset. We compare the different ways of representing the review sentence using word vectors. We compare the performance of the Aspect Category Detection and Aspect Category Polarity subtask using two models. Among the two models- Ensemble model and Feed Forward Neural Network model, the Ensemble model provides significant improvement in performance for both subtasks. The Ensemble model with a sentence vector representation reports considerable improvement in F-score over state-of-the-art Aspect Category Detection results for all four major domains. Our proposed Ensemble model for Aspect Category Polarity subtask provides an increase in accuracy in the range of 7% to 14% for three of the four major domains over best state-of-the-art results.
TEACHERS' PEDAGOGY COMPETENCE IN TEACHING ENGLISH BASED ON K-13 CURRICULUM ON SMK PARULIAN 3 MEDAN

ABSTRACT: This research is about Teachers Pedagogy in Teaching English on SMK PARULIAN MEDAN Based on K-13 Curriculum . The Purpose of this research is to describe the teachers’ pedagogy competence in teaching english based on k-13 curriculum in SMK PARULIAN 3 Medan. This research was conducted by applying Descriptive Qualitative research. The subject of this research was english teachers on SMK PARULIAN 3 MEDAN. The researcher took 10 students in getting the data. The instrument of collecting data was questionnaire. The procedure of collecting data was Determining the subject of the research. In this case, the subject is English teachers on SMK PARULIAN 3 MEDAN, Determining the focus of the research, This research is teachers pedagogy in teaching english based on k-13 curriculum, Asking the teachers’ to teach the students. observe the class while filling out the observation sheet that has been provided. Conducting interviews to strengthen information from observation,and give the students questionnaire and respondents to obtain the data. From the result of the research that has been done , the researcher can conclude that the teachers’ pedagogy in teaching English has been done to the students very good. The forms include in terms of teachers understanding about pedagogy competence in teaching english based on curriculumm K-13. For aspects of teachers understanding aspect logic,inovative,and reflective
Penerapan Data Mining Untuk Prediksi Layanan Produk IndihomeMenggunakan Metode K-NearstNeighbor

ABSTRACTPT. Telkom is a company engaged in the field of telecommunication that develops IndiHome product. IndiHome itself is the combination of product and service types including telecommunication, information, media and edutainment becomes one consisting internet service, internet voicete and interactive internet (UseeTV cable) or Triple Play. The development of a maximum marketing strategy requires an effective and efficient marketing mix. In principle, the marketing strategy provides direction in relation with variables such as market segmentation, target, positioning, and marketing mix element. In order to support this study, the variable used is operational variable for external and internal analysis. In this study, the method used is qualitative research method. Meanwhile, the type of the study is descriptive.The primary data is directly obtained from the research subject through observation, interview, and documentation. As seen from the large number of customer request related to the service product based on sales data for the past 1 year, it is important to get the sales prediction of best-selling service product, in order to facilitate the company in developing service provision planning. Furthermore, the use of data mining classification technique and K-Nearest Neighbor algorithm is needed to find out the best-selling service product sales. The result of this study is the prediction of the best-selling service product sales which is 1 from the total of 3 product types that are sold includingInternet, Internet Voice, and Internet Voice Useetv. It is based on the accuracy value towards the classification of the best-selling product sales of 99.99%.
Wearables design and development in a shifting public health domain towards the “fifth wave”

Wearables are often ergonomically skin deep, and while technologically proficient, may lack the spectrum of user needs to be truly effective. To discuss the extent of this problem, this chapter situates design and health paradigms in relation with each other, and discusses conceptualizations of wearability as a criterion for wearable technologies. It describes key practices in the landscape of design approaches (philosophies), and presents two innovation case studies to illustrate the key points made. Finally, it summarizes the relationship between design and health as informed by proposals for a “fifth wave” in public health.
HUBUNGAN IMPLEMENTASI SISTEM INFORMASI MANAJEMEN RUMAH SAKIT (SIMRS) DENGAN EFEKTIVITAS KERJA PEGAWAI DI RUMAH SAKIT TK.II 14.01.05 PELAMONIA MAKASSAR TAHUN 2019

This study aims to examine and look at the relationship between the management information system implementation with the effectiveness of employees working in the Hospital Tk.II 14:05:01 Pelamonia Makassar. Where the Hospital Management Information System consists of several indicators, namely: system quality, information quality, system users, and user satisfaction, type of research is quantitative descriptive cross sectional study approach. The sampling technique is simple random sampling. Testing the hypothesis used is chi square analysis. Statistical test results for the variable quality of the system with the effectiveness of the employee obtain the results p = 0.031 for p <0.05 then Ho is rejected, which means that there is a relationship between the quality of the system with the effectiveness of the quality pegawai.Variabel employee information with the effectiveness of the results obtained p = 0.031 because the value of p <0.05 then Ho is rejected, which means that there is a relationship between the quality of information with the effectiveness of the employment. The effectiveness of the system user variables with employee get results because the value of p = 0.012 p <0.05 then Ho is rejected, which means there is a relationship between the users of the system with the effectiveness of the employment. Variable user satisfaction with the effectiveness of the employee obtain the results p = 0.018 for p <0.05 then Ho is rejected, which means there is a correlation between satisfaction with the effectiveness of the employment.
El libro álbum como apuesta a la lectura digital en tiempo de pandemia

In this work, a pedagogical strategy is developed, based on the digital album book for firstgrade children at the Santa Rita Children's School in times of pandemic, seeking new spacesand meanings in the face of the act of teaching, learning and especially reading since thereflective character immersed in the reading practice developed remotely, positions needs,interests and communicative realities in students with their technological means. Aqualitative research was carried out, which consisted of data collection from recordings,interviews, field diaries, observations and focus groups. With this information collected, apedagogical strategy is developed with three album books: Anthony Brown's Mom, Dad, andfinally, Mission to stay at Dalmaus's house. With these books, activities are carried out suchas role changes between father and children and how to understand the Covid-19 pandemicfrom a perspective more in line with the ages of the first grade children.
IMAGE DEHZING: A STUDY

We make an investigation of the dehazing effect of image and video which is affected by bad weather conditions. A video captured in outdoor scenes affects by the presence of haze like fog, mist and dust particles in the atmosphere. We are utilizing a Dehazing algorithm to remove this unwanted haze from videos and Real-time video. For this, we use a Novel method of video dehazing based on contrast enhancement. From our observation it is concluded that hazy image and video has low contrast, so we restore the hazy image and video by enhancing its contrast. This algorithm computes the airlight on an input hazy image and video then we estimate the transmission map to maximize the contrast of output video and image. We establish a better Dehazing performance with fewer artifacts and better coding efficiency and demonstrate that the proposed algorithm can remove haze efficiently and recover the parameters of the original scene.