Reviewerly/exHarmony huggingface dataset:
Pengembangan E-Module Berbasis Digital Flipbook Pada Mata Pelajaran Komunikasi Bisnis (Studi Kelas X Pemasaran SMK Islam Batu Malang)

ABSTRACT Muzakki, Yulian. 2018. Development of Flipbook-Based E-modules in Business Communication Subjects (Class X Marketing Study at Batu Malang Islamic Vocational School). Thesis Department of Management, Faculty of Economics. Universitas Negeri Malang. Advisor: Drs. Mohammad Hari, M.Si. Keywords : E-module, Flipbook, and Business Communication Subjects. The flipbook-based e-module learning media is an interactive digital learning tool in the form of book in its use during teaching and learning activities. This research method is research and development (R & D). The objectives of this study include: (a) To produce products in the form of e-modules or flipbook-based electronic modules on business communication subjects for class X marketing at Batu Islam Vocational School second semester. (b) Knowing the feasibility of e-module Flipbook-based Business Communication of second semester material for Marketing X students in the Batu Islam Vocational School, (c) To find out students' responses to the use of e-modules in class X Business Communication Subjects in Batu Islamic Vocational School. This development research uses the development model of Borg and Gall in Sugiono's book which consists of 9 development stages, that is ( 1) potential and problems, (2) data collection, (3) product design, (4) design validation, (5) design revisions , (6) product testing, (7) product revision, (8) user test, (9) final product. Media validation is carried out by material and media experts. This reseacrh conducted on the tenth grade students of Marketing in Islamic Islamic Vocational Schools. Media validation results reached 97.5% with excelent categories and the results of material expert validation reached 97.5% with excelent categories. The product trial was conducted in 2 stages, namely group trials consisting of 6 students and mass trials consisting of 40 students X Marketing of Islamic Islamic Vocational Schools. The results of small group trials reached 83.5% and mass trials reached 85.5% with the average student saying learning to use flipbook-based e-module learning media was very interesting, fun and the material was easy to understand. Normal 0 false false false IN ZH-CN X-NONE /* Style Definitions */ table.MsoNormalTable{mso-style-name:Table Normal;mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-parent:;mso-padding-alt:0cm 5.4pt 0cm 5.4pt;mso-para-margin-top:0cm;mso-para-margin-right:0cm;mso-para-margin-bottom:10.0pt;mso-para-margin-left:0cm;line-height:115%;mso-pagination:widow-orphan;font-size:10.0pt;font-family:Times New Roman,serif;mso-ansi-language:EN-US;mso-fareast-language:EN-US;}
THE EFFECT OF USING REAP (READ, ENCODE, ANNOTATE PONDER) METHOD ON STUDENTS’ READING COMPREHENSION IN ANALYTICAL EXPOSITIONTEXT OF THE ELEVENTH GRADEOF SMK SWASTA HARAPAN STABAT IN ACADEMIC YEAR 2019/2020

The objective of this research was to find out whether there was a significant effect of using REAP (Read, Encode, Annotate, Ponder) on students’ reading comprehension in analitycal exposition text of the eleventh grade of SMK Swasta Harapan Stabat in academic year 2019/2020. In this research, the researcher took 80 students as the sample. As the experimental class, the researcher used class XI.1 ADP which consisted of 40 students and for the control class, the researcher used class XI.4 ADP that consist of 40 students. The, the researcher gave pre-test and post-test to both classes.The researcher then statistically analyzed the data by using t-test. After analyzing the data, the researcher concluded that teaching analytical exposition text using REAP method was effective. As the fact, the result of t-test was 2,86 with df = 78. Because there was not df 78 in the t-table, so the researcher decided to use df 60 since it is closer to 78 than df 120.The table at df 60 showed that the value of t-table ( was 2,00 for 5% and 2,66 for 1%. Theoritically, the Alternative Hypothesis ( ) was accepted if the value of t-test was greater than the value of t-table ( &gt; ( . The finding showed that t-test was greater than t-table (2,86 &gt; 2,00 and 2,66). The researcher meant the hypothesis ( ) was accepted. It was stated that “There is a significant effect of using REAP method on students’ reading comprehension in analytical exposition text of the eleventh grade students of SMK Swasta Harapan Stabat in academic year 2019/2020” was accepted.
The Effectiveness of Developing Media Competence in Future Teachers of Higher Educational Institutions

This article is dedicated to some available connection between education and media in modern world and reveals the role that formal education should play in both the integration of media in the curriculum and the teachers’ digital literacy at higher educational institutions. Moreover, the author highlights the demand for including a broader and deeper analysis of the social uses, attitudes, and values associated with new media tools, texts and practices.
Tight Static Lower Bounds for Non-Adaptive Data Structures.

In this paper, we study the static cell probe complexity of non-adaptive data structures that maintain a subset of $n$ points from a universe consisting of $m=n^{1+\Omega(1)}$ points. A data structure is defined to be non-adaptive when the memory locations that are chosen to be accessed during a query depend only on the query inputs and not on the contents of memory. We prove an $\Omega(\log m / \log (sw/n\log m))$ static cell probe complexity lower bound for non-adaptive data structures that solve the fundamental dictionary problem where $s$ denotes the space of the data structure in the number of cells and $w$ is the cell size in bits. Our lower bounds hold for all word sizes including the bit probe model ($w = 1$) and are matched by the upper bounds of Boninger et al. [FSTTCS'17]. Our results imply a sharp dichotomy between dictionary data structures with one round of adaptive and at least two rounds of adaptivity. We show that $O(1)$, or $O(\log^{1-\epsilon}(m))$, overhead dictionary constructions are only achievable with at least two rounds of adaptivity. In particular, we show that many $O(1)$ dictionary constructions with two rounds of adaptivity such as cuckoo hashing are optimal in terms of adaptivity. On the other hand, non-adaptive dictionaries must use significantly more overhead. Finally, our results also imply static lower bounds for the non-adaptive predecessor problem. Our static lower bounds peak higher than the previous, best known lower bounds of $\Omega(\log m / \log w)$ for the dynamic predecessor problem by Boninger et al. [FSTTCS'17] and Ramamoorthy and Rao [CCC'18] in the natural setting of linear space $s = \Theta(n)$ where each point can fit in a single cell $w = \Theta(\log m)$. Furthermore, our results are stronger as they apply to the static setting unlike the previous lower bounds that only applied in the dynamic setting.
A PROPOSAL TO PROMOTE CODING AND SOFTWARE CREATION AT SCHOOL

Writing source code at school is considered beneficial for children and the whole society. From a psychological point of view, learning to code stimulates abstract thinking and creative approaches to problem solving. For society, it is also beneficial to find talent in this type of intellectual tasks because children are potential computer scientists that can boost discoveries or progresses in the field. In the last decade primary and secondary educational institutions are trying to implement interventions programs to promote coding among children. Here we highlight some positive consequences of encouraging educational institutions to include coding competences in their curricula. We think that learning to code allows students to acknowledge computers scientists their work. At the same time, children also learn to think and reflect about technology in “essential” terms. That is to say, by learning to write pieces of software children also learn the universal message presented in “The Little Prince” that the essence of reality is not seen by the eye. As a result, we will provide some ideas and reflections about the early introduction of coding at school. Thus, our main objective is to develop a list of guidelines to help children to go into programming. The methodology we have used to develop such a list is literature review. We have reviewed key references on adult programming best practices to develop our guidelines for children. Our results, based on literature review and several formal discussions, can be synthetically summed up into three core guidelines: a) learning about master scripts and how to use them, b) dividing complex problems into small and simpler computational tasks, each of them should be written in a single script, and c) illustrating the notion of “function” and “function arguments”. These three guidelines are quite general and we are aware that different language programs work differently. As a result, those guidelines are not probably widely applicable. However, our intention is to provide a first taste of coding for children. In order to facilitate the practical implementation of those guidelines, we suggest using examples with open and free languages like R or LaTeX at school.
System Development e-learning for Higher Education

Better time use, decrease of educational costs, more effective learning and learning management from the user’s side stimulate the changes in transmission of knowledge and learning, as it also has been recognized in our institution. So, the Faculty of Organisation and Informatics was also one of the places where the project for developing an e-learning system started in accordance with the user (student) demands and teaching process. Within this project the production of a system for managing e-learning as well as adjustment of teaching materials started. This paper presents our achievements and results of using developed e-learning management system in our institution.
Design and Implementation of Heilongjiang National Tax Information Service Exchange Platform based on Web-Service Technology

Abstract This paper focuses on the specific application of Web Service Technology in Heilongjiang national tax information service exchange platform, and discusses the level division of the platform and data transfer technology. This technology has positive significance for the national tax management of Heilongjiang Province.
Inventory Information System Design at PT. Instaprint Jaya Primatama

Information technology is rapidly developing all existing activities or activities become very important in determining the progress of the company, both in operational and non-operational activities, one of which is the procurement report which must produce accurate and accurate reports. PT Instaprint Jaya Primatama is a company engaged in the field of digital printing while those who do not yet have a system that uses stock of goods, the current system still has problems such as requiring a long time to find the amount needed Every day and making reports still using Ms. Excel so there is a delay in the company's performance. This study aims to create a system that can support the process of reporting needs that can be done effectively, the design process uses the PIECES method, system modeling using UML (Unified Modeling Language) to use visualization, which can be used by using the Hypertext Preprocessor programming language (PHP ) with a MySQL-Server database as a database. And to collect data, the authors use the method of observation, interviews, and literature study. With the system of preparation of goods, can make it easier for inventory administrators to produce accurate reports with a fast time can be made in order to produce effective and efficient.
Weisfeiler and Leman's Unlikely Journey from Graph Isomorphism to Neural Networks (Invited Talk).

The Weisfeiler-Leman algorithm is a well-known combinatorial graph isomorphism test going back to work of Weisfeiler and Leman in the late 1960s. The algorithm has a surprising number of seemingly unrelated characterisations in terms of logic, algebra, linear and semi-definite programming, and graph homomorphisms. Due to its simplicity and efficiency, it is an important subroutine of all modern graph isomorphism tools. In recent years, further applications in linear optimisation, probabilistic inference, and machine learning have surfaced. In the first part of my talk, I will give an introduction to the Weisfeiler-Leman algorithm and its various characterisations. In the second part I will speak about its applications, in particular about recent work relating the algorithm to graph neural networks.
An Investigation of System Architecture for Autonomous Vehicle: Modeling and Simulation

In this paper, the research of automated car is investigated to serve in industrial environment. Initially, the car frame is suggested to evaluate geographical coefficients and kinematic model. Based on this analysis, the motion controller is derived to drive car in reference trajectory. Later, the modeling of overall system is simulated on computer to fit with proposed design. The car must operate in global map including the interfusion of linear paths and circular corners. From simulation results, it can be seen that the proposed strategy is feasible, effective and capable in real world.
An Intelligent Evaluation Model of English Pronunciation Quality Based on Sphinx

Based on the preliminary study of speech recognition technology, scoring methods and relevant theoretical knowledge of information feedback, this paper proposes an improved scheme using posterior probability scoring, and establishes an expert opinion database, according to the common types of oral pronunciation errors. Combining with the corrective information of the database, it can effectively help learners improve their oral proficiency. Then, we design an automatic scoring system for spoken English. It realizes the functions of recognition, scoring, error determination and feedback correction of user's pronunciation based on speech recognition device. Finally, through experiments and tests, it is proved that the system can effectively improve the scoring performance of the system after introducing the average pronunciation level, and it has a certain effect on improving the spoken pronunciation level of users.
Adaptively Extracting Structured Data from Web Pages

Web pages contain a large amount of valuable information and resources, meanwhile may update at any time. However, the current Web-data extraction algorithms are generally targeted at specific web page structure. When web pages update, the problem which is caused by the changes of web pages may be encountered, leading to the inability to extract web page information or wrong information. In order to solve this problem, this paper proposes a new method to extract the feature values of each area in the web page through page rendering, and then combine the DOM tree structure of the page, semantic similarity and other information, so that it can still extract the target data correctly after the structure of the web page changes.
PENGEMBANGAN GAME MOTI BERBASIS ANDROID PADA MATERI TRIGONOMETRI UNTUK SISWA SMA KELAS X

The research was aimed are to develop and to know the feasibility of Android-based MOTI game on trigonometry for tenth grade high school students. This development research uses the Plomp development model (2007) which includes three glass: preliminary research, prototyping phase, and assessment phase. The results showed that the media was declared valid with a validity score of 3.59, the validity score for student response questionnaire was 3.8, and the media practicality score was 3.5. Thus, the media in the form of Android-based games developed are feasible because meets valid and practical criteria.
KUALITAS SIA DAN USER SATISFACTION SIA DI PRODI BUSSINESS ENGLISH FBS UNM

The purpose of this study was to examine the effect of the quality of the SIA system on user satisfaction Sistem Informasi Akademik (SIA) at Universitas Negeri Makassar (UNM). This study uses multiple regression analysis and uses samples of business English study programs that are active in the Faculty of Language and Literature. This study generates support for previous studies that use the variable reliability, Ease of use, flexibility and functionality to measure the quality of information systems, that the quality of the information system influences the satisfaction of SIA users in the Business Study Program of FBS UNM which is active in Odd Semester 2016/2017. The results of this study are expected to help managers of Higher Education information systems in order to improve the quality of information systems that exist in the tertiary environment so as to increase the satisfaction of users of the information system itself maximally.
A Scalable System to Synthesize Data for Natural Scene Text Localization and Recognition

In this paper, a scalable system is proposed to synthesize data for multilingual text (Chinese and English) detection and recognition in cluttered conditions. The system can be realized by these following steps. First, in order to respect scene boundaries when overlaying synthetic text to existing images, hierarchical contour is obtained by using efficient graph-segmentation. Second, in order to paint text on top of surfaces with approximate natural effect, scene 3D geometry is estimated under a single image by using Convolutional Neural Network (CNN) based processing. Finally, in order to synthesize data more naturally, the text is printed into the picture appropriately by poisson image editing and the text color is rendered by a combination of foreground and background colors. The system can generate scene text data automatically and naturally, providing a cheap way to annotate massive images to train supervisor learning model for natural scene text detection and recognition.
Exploring Education and Development: A Case Study on Shenzhen University Student Campus Tour Guide Cultivate and Practice

University students acting as campus tour guides, can reduce administrative burden, provide safety practice, promote teaching and learning, exercise students' comprehensive ability, enhance domestic and international exchanges and strengthen students’ love to university. To meet the growing demand for high-end reception English talents, university campus tour guide can adopt counterpart departments responsible system, selection and training system, assessment post system, scientific arrangement system, summary report system and appropriate incentive system. So as to create win-win situation of society, university and students, developing healthfully and continuously. Taking Department of Tourism and Culture of Shenzhen University in 2013–2019 as a case, this paper introduces the experience of background, implement, drive mechanism, development bottleneck and prospect on university student campus tour guide, aimed to explore the innovative model in embodying the value of university student
A Short Introduction to Collective Defense in Weighted Abstract Argumentation Problems

In this paper we review the basic ideas of weighted argumentation framework that we exploited in the last years. In particular we show how to deal with Argumentation Frameworks with weight on attacks. Such extension clearly add more information: from one side we can compare attacks measuring the added weight on the attack itself; from the other side we can aggregate attacks together using a semiring combination operator able to compute the quantitative strength of the synergy. The additional weight associated to attack relations foster a new definition of defense able to compare the weights associated to the attacks, assuring that the defense happen when it is stronger than the attack.
Using Conceptual Graph to Represent Semantic Relation of Thai Facebook Posts in Marketing

Conceptual Graph is a representation commonly used to express semantic relationship of natural language. This work presents a method to translate Thai natural language text to conceptual graphs regarding semantic relations based on semantic roles between predicate and its arguments. Shallowing parsing of Thai text and verb patterns as case frames are utilised in identifying core entities in a context and their semantic roles. Then, the argument with annotated roles are translated into conceptual graphs that are able to logically and visually represent relations of core terms. As a result, conceptual graphs of Thai natural texts from Facebook posts in a marketing group were generated. In the study, found issues regarding Thai specific natural style are encountered and discussed.
A Study on Remote Fracturing System using The Steam Pressure Cracking Agent

The steam pressure cracking agent fractures bedrock by the action of high temperature and high pressure steam generated by the thermite reaction, and the impact at the time of crush is suppressed to a small level, and it can be used safely in places where explosives cannot be used. For the decommissioning of nuclear power plants and the dismantling of concrete structures, the fracturing method using the steam pressure cracking agent is an effective means. In this report, we report a remote boring system that can be used to remotely install loading holes and guiding holes for the steam pressure cracking agent and perform effective controlled fracturing.
Control of Information Interaction in Social Media

In modern education, the protection against information and misinformation is absent. The protection against information is already in demand in the context of information wars. Information attacks violate the interaction of information space and social media and leads to the destruction of business and society. In the course, the participants learn about information exchange and minimization of losses from information attacks.
Effective CCTV Image Tampering Introspection Using Forensic Approaches

Closed Circuit TeleVision monitoring plays a vital role in the safety measures for residential, offices and public organization nowadays. It is not easy to monitor with manual implementation of human being for entity monitoring system whereas the machine based system reduces the complexity and increase the availability and persistence for ensuring the safety with its compactness and protection. The monitoring technology grows in a linear fashion whereas the illegal operations and actions against safety improve in an exponential way. The art of ensuring safety includes lot of Hardware, software, methodologies ad procedural measures. Image tampering includes two types of operations such as removal of contents or manipulation of actual contents which mislead others to think in a misconception manner. The entire dependency on tampered images will affect any organization future with falsified information's This paper deals with the Forensic image processing which is a scientific methodology that can analyze the image and process it in certain standards to check for its genuinely. In near future we will implement the advanced neural network based web data integrity for optimal productive data integration in web data mining.