Reviewerly/exHarmony huggingface dataset:
Efektivitas Belajar Kelompok Dan Belajarindividuterhadap Prestasi Belajarsiswa Smk N 1 Banyudono

SMK Negeri 1 Banyudono is one of the state Vocational Schools in Boyolali District. Canbe seen from the results of student achievement in assigning tasks that are very influential by giving to students, according to the way the work can be given to groups (group assignments) or individuals (individual ) The aim of the researcher To find out the differences in learning achievementof students who were given individual with group assignments.The type of this research is the quantitative population in this study are students of class XI Office Administration 2 and XI Accounting 1 with the number of students 72. Based on the results of the analysis t-test test showed a tcount of 2.947 greater t table of 1.994 or sig. equal to 0.004 less than 0.05. From this result, it means that H0 is rejected if t count> t table, meaning that there is a difference between the results of economic learning by using Group Assignments and Individual Tasks on Class XI students of SMK Negeri 1 Banyudono. This proves that the first hypothesis which states that There are differences in learning outcomes of students who are given individual with group assignments proved the truth. Individual show an average value of 86.25 while the value of economic learning outcomes using Group Tasks shows an average value of 80.69. From these results indicate that the value of Individual Task learning outcomes is better than the Group Task.
Levels of Selected Heavy Metals in Water and Sediment of the Soku Oil Field Area of the Niger Delta, Nigeria

The concentration of heavy metals (Cd, Pb, Fe, Al and V) in surface water and sediment and their sediment enrichment factor were determined in Soku oil field area of Rivers State, Nigeria. Surface water and sediment were collected in duplicates, bimonthly from four stations from July 2017 to May 2018, upstream and downstream of the Soku oil field. The physicochemical parameters (ToC, Dissolved oxygen, salinity, pH) were measured according to standard methods. The total metal concentrations were analyzed using AANALYST 400 Perkin Elmer Atomic Absorption Spectrometer. The heavy metal mean concentrations (mg/L) in surface water were 1.95(Fe), 0.88(Al), 0.64(Pb), 0.08 (V) and 0.01(Cd), while in sediments the heavy metal concentrations (mg/kg) were 6608.63(Fe), 2.84(Pb), 2.54(Al), 2.16(Cd) and 1.90(V). All recorded values were above permissible limits for both water and sediment with the exception of Al in water. Heavy metals concentrations were generally high in the dry season depicting heavy metal pollution and suggestive of high dilutions by heavy rain fall in the wet season. Higher concentrations of heavy metals in the sediment as against the surface water were indicative of overtime pollution of the river and confirmation of the sediment as a sink for heavy metals. Enrichment factor using Fe as the reference element ranged from depletion (0.0003) to extremely significant enrichment of 137.27 in the order of AlEV<Fe<Pb<Cd indicating a high Cd and Pb pollution, of the environment which is a potential threat to aquatic and human life. The determination of Al level in water and sediment was a first in the area. Al at the recorded pH between 6-7, may form soluble hydroxides that act as respiratory toxicant for fish.
Self Destructive Data Security System: Towards an Improved Platform for Data Protection

Today’s technical and legal landscape presents formidable challenges to personal data privacy. Data protection attempts to ensure the security of computer-processed data from unauthorized access, from destructive user actions and from computer failure. This paper validates a self destructive data security system using files of different formats and a secure server to make an improvement on the existing system. All the data and their copies become destroyed or unreadable when an attempt to copy the file from the secure server is made. This is implemented using php programming language and a prototype methodology. The performance evaluation of the system shows a faster way to upload and download data to be stored and encrypted on the server.
Perencanaan RENSTRA Sebagai Pedoman Dalam Pengelolaan Perpustakaan (Studi Kasus Perpustakaan Pusat Studi Sosial Asia Tenggara (PSSAT) Universitas Gadjah Mada Yogyakarta)

The Center for Social Studies of Southeast Asia (PSSAT) Gadjah Mada University of Yogyakarta is a library of PSSAT institutions. The library currently has more than 5,000 collection collections on Southeast Asian issues, deposit collections from PSSAT research institutes and European, Arabic and Javanese manuscripts. The library is currently managed by a librarian under the responsibility of the PSSAT agency. Currently, library activities include collection acquisition, collection processing, and public services. The library does not have a planned purpose and does not have a work program to develop the library for the better. Thus, the object of research in this paper is RENSTRA as a guide in library management. PSSAT libraries in its management have not yet referred to the guidelines. Therefore, it is deemed necessary to draw up a library strategic plan for libraries to have a clear vision and mission, targeted work program, and solutions to problems faced so that libraries have a reference and guidance in their management. The method used in this research through case study approach. After the investigation found the result that the management of PSSAT libraries have not been guided and do not even have a library strategic plan. This will have an impact on the slow progress of the library development movement, as well as the lack of library activities that attract the audience.
Competência em informação dos bibliotecários atuantes em empresas do ramo de engenharia

The information literacy required for the librarian’s performance in engineering companies is the focus of this study, which was carried out in the technical documentation sector from an institution of this very industry, in the center of Rio de Janeiro city. It is a case study with qualitative approach of collected data and it can be characterized as a descriptive and exploratory bibliographic research. The research instrument was a semi-structured script used to guide interviews with twenty female librarians of the mentioned institution. The study shown profile changes at the librarian through the insertion of information technologies and communication methods in professional activities plus new ways to develop the ability to access and use the information to meet the working demands. It also showed the most quoted skills according to all the interviewed as the three main professional competencies: the knowledge and handling of the tools and technologies, research expertise and the awareness of the documental typology. It was clear that the interviewed librarians develop their work applying the above competencies, as well, it became evident that they are constantly learning by sharing each other experiences and qualifications to manage the specific tools inside the organizations, enriching the workplace.
Survey on identification of blood group by using image processing technique

The blood enlightens us regarding the wellbeing. It conveys critical substances, for example, oxygen to different piece of our body. Subsequently recognition of blood classification is imperative. The blood of human includes the Red platelet, White Blood Cells, Platelets and Plasma. Conventional procedures are utilized by Lab specialists to check cells of blood. In any case, this strategy is so repetitive, expends additional time and prompts the misguided results as a result of human errors. So during Blood transfusion accurate determination of blood type is very importance during emergency situation so in this method a fast, accurate and robust blood group judgement is given by using image processing techniques.
JavaScript and Development Tools

There is a lot to get your head around if you are new to developing JavaScript applications. A question often asked is “Where do I start?” This is the goal of this chapter, to help you locate resources and tools that can help you on the path to developing applications with JavaScript. I will also go over some basic usage of these tools. This chapter is not designed to be a definitive guide or as product placement, but it should point you in the right direction.
Conversational activity UX patterns

With recent advances in natural language understanding techniques and farfield microphone arrays, natural language interfaces, such as voice assistants and chatbots, are emerging as a popular new way to interact with computers. They have made their way out of the industry research labs and into the pockets, desktops, cars and living rooms of the general public. But although such interfaces recognize bits of natural language, and even voice input, they generally lack conversational competence, or the ability to engage in natural conversation. Today's platforms provide sophisticated tools for analyzing language and retrieving knowledge, but they fail to provide adequate support for modeling interaction. The user experience (UX) designer or software developer must figure out how a human conversation is organized, usually relying on commonsense rather than on formal knowledge. Fortunately, practitioners can rely on conversation science. This book adapts formal knowledge from the field of Conversation Analysis (CA) to the design of natural language interfaces. It outlines the Natural Conversation Framework (NCF), developed at IBM Research, a systematic framework for designing interfaces that work like natural conversation. The NCF consists of four main components: 1) an interaction model of "expandable sequences," 2) a corresponding content format, 3) a pattern language with 100 generic UX patterns and 4) a navigation method of six basic user actions. The authors introduce UX designers to a new way of thinking about user experience design in the context of conversational interfaces, including a new vocabulary, new principles and new interaction patterns. User experience designers and graduate students in the HCI field as well as developers and conversation analysis students should find this book of interest.
The Relationship among Career Preparation Behaviors, Career Resilience and Career identity of Taekwondo Majoring College Students

This study examined the analysis of the influence of the relationship among career preparation behaviors, career resilience and career identity of taekwondo majoring college students. Taekwondo majoring students(N-240) were selected as usable data by convenience sam-pling method. The reliability and validity test of the questionnaire itself was conducted by using SPSS Window 18.0 program; the result of descriptive statistical analysis, exploratory factor analysis, confirmatory factor analysis, reliability analysis, correlation analysis, standard multiple regression analysis are as follows; The results were as being follows. First, career preparation behaviors is partially influences on the career resilience of taekwondo majoring college students. Second, the career preparation behaviors is partially influences on the career identity of taekwondo majoring college students. Third, the career resilience is partially influences on the career identity of taekwondo majoring college students.
JavaScript and Programming Paradigms

In this chapter, I will explain some of the different programming paradigms you can use with JavaScript. By programming paradigms I mean the different ways or “styles” in which you can write your JavaScript code.
Teaching Aliasing and Spectral Leakage Through the Sampling of Images

Aliasing and spectral leakage are artifacts of sampling and rectangular windowing, respectively, whose manifestations are noticed in both the spatial and frequency domains. This paper aims to provide a classroom example which enables the recognition and mathematical interpretation of such phenomena.
Appendix C: NCF pattern language summary

With recent advances in natural language understanding techniques and farfield microphone arrays, natural language interfaces, such as voice assistants and chatbots, are emerging as a popular new way to interact with computers. They have made their way out of the industry research labs and into the pockets, desktops, cars and living rooms of the general public. But although such interfaces recognize bits of natural language, and even voice input, they generally lack conversational competence, or the ability to engage in natural conversation. Today's platforms provide sophisticated tools for analyzing language and retrieving knowledge, but they fail to provide adequate support for modeling interaction. The user experience (UX) designer or software developer must figure out how a human conversation is organized, usually relying on commonsense rather than on formal knowledge. Fortunately, practitioners can rely on conversation science. This book adapts formal knowledge from the field of Conversation Analysis (CA) to the design of natural language interfaces. It outlines the Natural Conversation Framework (NCF), developed at IBM Research, a systematic framework for designing interfaces that work like natural conversation. The NCF consists of four main components: 1) an interaction model of "expandable sequences," 2) a corresponding content format, 3) a pattern language with 100 generic UX patterns and 4) a navigation method of six basic user actions. The authors introduce UX designers to a new way of thinking about user experience design in the context of conversational interfaces, including a new vocabulary, new principles and new interaction patterns. User experience designers and graduate students in the HCI field as well as developers and conversation analysis students should find this book of interest.
IMPROVING ELECTRONIC DOCUMENT CONTROL APPROVAL PROCESS THROUGH E-CERTIFICATION

This paper analysed factors that influenced the document rejection rate in a semiconductor manufacturing facility.  One of the factors that affected document rejection rate was a wrongly written process parameter which caused failure in data extraction. This resulted in many processes on the manufacturing floor to be placed on hold, hence, delaying product delivery to customers.  Through current approval workflow, specification writers are required to be trained and certified prior to submitting any revised or new documents for approval. It is important to have the revised specifications approved on first time submission to ensure prompt document update. Hence, the main idea of this work was to improve the approval workflow through reducing number of documents rejection rate during the approval process. This approval workflow was conducted through electronic certification using an electronic document management system (e-DMS). A 3-level electronic certification process for specification writers was introduced to ensure that only certified writers could revise or edit any specifications. The new certification process was successfully implemented and the data were closely monitored for the period of 6 months. The outcome showed 4% improvement on document rejection rate during the approval process.  The number of documents submitted for approval within the same period was also increased by 28%.
The Evaluation of Lesson Plans for History of English Literature

History of English Literature is one subject that is taught by semester fifth in English Literature students. This subject discusses about the history of English Language and Literature that includes the periods of literature and the characteristics. The aim of this research was to evaluate RPS in History of English Literature. The subjects were the fifth students of English Literature. The research used qualitative. In doing the research, I broke down all parts in lesson plan, such as capaian pembelajaran lulusan, capaian pembelajaran mata kuliah, deskripsi mata kuliah, and kemampuan yang diharapkan. After broke down all parts in lesson plan, I saw there was an importance thing in learning History of English Literature among fifth semester students of English Literature because this subject gave knowledge about the history of English, particularly the literature, the periods of literature, and the literary works in each period. Although the subject was important for students, there was imbalance between graduate learning outcome (Capaian Pembelajaran Lulusan) and course learning outcome (Capaian Pembelajaran Mata Kuliah). To solve its imbalance, I gave the knowledge about the development of language among students by lecturing and answering some questions. The result showed by giving questions about the development of language and the period of literature, students increased knowledge about this subject.
An Optimized Multi-item Bilateral Negotiation Model

This paper proposes a bilateral optimized model for negotiation between buyer and seller through a mediator agent to negotiate on the issue price and the quantity for multi-item. This model produces a proposal by simultaneously considering multiple items to optimize the total joint utility of buyer and seller agent. A multi-item approach generalizes well as the optimal total utility may be different than the optimal utility of individual items as shown through experimental results.
JavaScript and Application Frameworks: React

In the last chapter, you were able to create an Angular application and by using a proxy connect to a Node server that had access to a MySQL database. With this setup, you were able to retrieve data and display it on a screen. You also updated the code so you could use the REST verb POST to send data from a form to the server and
JavaScript and Application Frameworks: Angular

In the interest of trying to keep this discussion simple, when I refer to application frameworks, I am talking about any library or framework that helps you to develop full web applications quickly. This could include but is not limited to Angular, React, Vue, and Polymer.
Application of Google Tools in Library and Information Services

Abstract Internet and ICT have opened up new opportunities and challenges before the libraries and library science professionals. Most of the libraries are now using online ICT applications to cater their user’s versatile demands. This research paper is an attempt to draw the attention of library community about Google products/ tools that to become a boon and smart assistance for them. The paper also explains how these products/ tools can be applied for the improvement of library and allied information services. Almost 38 particular tools have been reviewed in this study. With the help of these tools, libraries can definitely offer effective and time-saving services to its users. Keywords: Google, Google Tools, Google Products, Library Services Cite this Article Harshal Bhimsen Pawar. Application of Google Tools in Library and Information Services. Journal of Advancements in Library Sciences . 2019; 6(Special Issue 1): 82s–89s.
JavaScript Objects and Arrays

The last chapter introduced variables. Using variables, you can save information to use later. As applications become more complex, the ability to remember user settings, URLs, or the contents of a form becomes more important.
PENINGKATAN PEMBELAJARAN MENULIS TEKS BERITA DENGAN MENGGUNAKAN MODEL AUDITORY INTELLECTUALLY REPETITION (AIR) PADA SISWA SMP

This research was in the background because of the lack of students in literacy so that researchers sought to improve the creativity of students in writing news texts. The implementation of news text learning teaches students to understand the news text, so that researchers apply the intellectually repetition (AIR) auditory learning model so that students can listen, understand, and rewrite the learning news text that has been understood. The researcher used an experimental method with a design (one group pre-post-test) and collected data with a technique in the form of a pre-test and post-test final test. The sample used was class VIII students with the number 30. The results of the tests that were carried out obtained differences and enhancements, namely in the pre-test the average value obtained was 61.5% while the post-test that had been given treated using the learning model (AIR) obtained the value is 79.33% and the difference between the pretest and post-test is 17.83%. So this learning of the intellectually repetition (AIR) auditory model can be applied by learning to write news texts and the results obtained in the post-test scores get a significant increase of 17.83%.
Reversible image watermarking based on texture analysis of grey level co-occurrence matrix

Embedding the watermark in the complex area of the image can effectively improve concealment. However, most methods simply use the mean squared error (MSE) and some simple methods to judge the texture complexity. In this paper, we propose a new texture analysis method based on grey level co-occurrence matrix (GLCM) and provide an in-depth discussion on how to accurately choose a complex region. This new method is applied to the reversible image watermarking. Firstly, the original host image is divided into 128 * 128 sub blocks. Then, we use the mean square error to assign the weight of the four texture feature parameters to establish the relationship between the characteristic parameters and the complexity of an image sub block. Applying this formulaic series, we can calculate the complexity of each sub block, along with the selection of the maximum sub blocks of the texture complexity. If the embedding position is insufficient, then we select the second sub block to be embedded in the watermark, until the satisfactory embedding capacity is reached. Pairwise prediction error extend (PPEE) is used to hide the data.
Predicting Figure Coalition for 2019 Indonesian Presindential Election Using Modified Markov Clustering Algorithm

This paper presents a new approach to ameliorate the Markov Cluster algorithm for predicting ﬁgure coalition for 2019 Indonesian Presidential Election. The proposed method is the modiﬁcation of the Markov Clustering algorithm. First, 20 ﬁgures are collected to form a 20 x 20 matrix. Second, the entries of the matrix are scored by 0, 1, 2, or 3 concerning the number of positive comments from netizen towards the observed ﬁgures photo on Instagram. Third, we implemented the Markov Clustering to ﬁnd the clusters that represent the number of coalitions. The effectiveness of the proposed method is conﬁrmed by comparing the prediction results with the actual coalition.
JavaScript and Client-Side Development

In the early chapters, you installed NodeJS and learned how to do things like run a local server. After that, you spent a good amount of time working with the browser and exploring how JavaScript works inside it. In this chapter, I will introduce tools powered by NodeJS that will enhance client-side development.