Reviewerly/exHarmony huggingface dataset:
Pengaruh Penggunaan Teks Berwarna terhadap Hasil Belajar Siswa Ditinjau dari Gaya Belajar

The aim of this study determined (1) the effect of using color text towards the learning outcome on the topic matrices operation and (2) the comparison of mean using color text of visual, auditory, and kinesthetic learning style. This research is an experiment research with Pretest-Posttest Control Group Design. Test and questionnaire are used as instrument in this research. The test is used to investigate the learning outcome before and after treatment. Questionnaire is used to investigate the learning styles level and anxiety in learning by using color text. The technique of data analysis applied is t-test and One Way Anova. The result of this research showed that there is an effect of using color text in the learning outcome on the topic matrices operation. Analysis of t-test shows that is 2,46 with significant level of 5% and is 2,01. The result showed (t-value is bigger than t-table). In conclusion, there is an effect of using color text in the learning outcome on the topic matrices operation. For knowing comparison mean visual, auditory, and kinesthetetic is used One-Way ANOVA test, showed that is 0,109 and is 5,143. The result showed that (f_value is bigger than f_table). In the conclusion, learning outcome in 3 students with different learning styles from the experiment class do not significantly different regarding to the comparison mean value.
Review of Optical Cryptosystem for Gray Image and Color Image

Optical information security is one of the most important research directions in information science and technology, especially in the copyright protection, confidential information transmission/storage and military remote sensing. Since double random phase encoding technology (DRPE) was proposed, optical image encryption technology has become the main topic of optical information security and it has been developed and studied deeply. Much significant research and investigation on optical image encryption have been presented based on DRPE or further optical operation, such as digital holography, and Fresnel transform, gyrator transform. In this paper, the optical encryption system for gray image and color image is reviewed.
Motion Recurring Pattern Analysis: A Lossless Representation for Motion Capture Databases

In this paper, we propose the motion recurring pattern analysis (MRPA) method for the lossless representation of a motion database at the segment level instead of the motion degree of freedom (DOF) level. First, we concatenate all the motions into a long sequence in the motion database, and we discover similar posture paths by building a matching trellis structure based on the randomized k-d tree. Second, horizontal segments of paths are suitably refined, based on a self-organizing map, to obtain the optimized segmentation for maximum compression gains. Third, by using the path as a connection agent, these segments are clustered into a forest of trees. With this forest structure, we obtain the prediction residuals (the differences between the nonroot branches and their parents), and the differences between neighboring residuals are encoded under floating-point compression. Relative to previous lossless compression methods, our approach can achieve a higher compression ratio with comparable decompression time costs.
Digital Urban Ethnography: A Book Review of The Digital Street

Jeffery Lane explores the social worlds of youth in Harlem during the digital era through his unique approach, digital urban ethnography. Researchers use this ethnographic method to understand how social lives and meanings are co-constructed within digital and physical spaces. The digital and physical do not neatly represent each other but each provides specific ways to engage that both shape and are shaped by youth’s social lives. As novice researchers, we read this work with an eye towards methodological choices and techniques. In particular, we hoped this work would provide us with an understanding of how to conduct research with youth on ways the physical and digital worlds interact to produce knowledge and meaning. This review discusses Lane’s theoretical framework, three themes that highlight the potential of digital urban ethnography to construct unique findings, and the significance of Lane’s work in terms of methodology and specific techniques/data construction methods.
Implementasi MSIP (Manajemen Sistem Informasi Pendistribusian) Keluar Masuk Obat Pada Gudang Farmasi Kelapa

The process of drug distribution is one of the main processes in drug management which has an important role in managing drug availability. In its implementation, the drug distribution process requires information regarding the receipt, supply and expenditure of the drug between the sending and receiving parties, where the information can be changed periodically according to the entry and exit of the drug. Therefore Pharmacy Pharmacy warehouse in Kelapa Puskesmas which has the task of distributing drugs to sub-service units should be able to meet the needs in managing information on the drug distribution process. This research was conducted to analyze and design "Web-Based Drug Distribution Information System in Coconut Pharmacy Warehouse". In this research, the research method used by the author is the Oriented Object method with case studies in the distribution of drugs and to design information systems using the Oriented object approach and for the development method using the UML method.it can be seen that the Drug Distribution Information System in the Web-Based Coconut Pharmacy Warehouse is currently experiencing problems, because there are some data processing processes that are still conventional in nature, and there is still no integration of drug inventory data with drug sales data and so forth
An Integrated Approach to Sentiment Analysis using Machine Learning Algorithms

Sentiment Analysis (SA) is nothing but mining the emotion from many sources. Some of them include texts, audio, video, etc. Every individual has their own opinion, hence own reviews and ratings. Based on these reviews if we classify the sentiment of the opinion of the public, the profit or loss calculations on the product or application is directly found. Our algorithm takes Naïve Bayes (NB) as a foundation of classification of textual data taken from the public and categorizes the tweets accordingly. To this, we are adding an organic emotion factor called Average Impact Factor (AMF). In the market, there were several algorithms which can be used in mining the sentiment from the given textual data. But this sentiment has flaws as it cannot detect the true emotion from the text or it overfits the opinion of the public. Based on this idea, we integrated the AMF on the public tweets and reviews to evaluate the true sentiment and to improve the time factor too of the opinion mining. We used data of tweets related to Demonetization that happened in India, 2016. When compared to NB Classifier and Support Vector Machine (SVM) algorithms, there is an improvement in time constraint and accuracy too in our Integrated Sentimental Analysis (ISA) classifier.
A Contrivance to Encapsulate Virtual Scaffold with Comments and Notes

CLOUD is an elision of Common Location-independent Online Utility available on-Demand and is based on Service Oriented Architecture (SOA). Today a chunk of researchers were working towards contrivance based on multi-tenant aware Software as a Service (SaaS) application development and still a precise pragmatic solution remains a challenge among the researchers. The first step towards resolving solution is to enhance the virtual scaffold and propose it as a System under Test (SuT). The entire work is proposed as a Model View Controller (MVC) where the tenant login through the View and write their snippet code for encapsulation. The proposed VirScaff schema acts as Controller and provides authentication and authorization by role/session assignment for tenant and thus helps to access data from the dashboard (Viz., Create, Read, Update and Delete (CRUD)). The SuT supports and accommodates both SQL and Not only Structured Query Language (NoSQL) dataset. Finally, this paper construed that SuT behaves well for both SQL and NoSQL dataset in terms of time and space complexities. To sum-up, the entire work addresses the challenges towards multitenant aware SaaS application development and highly commendable while using NoSQL dataset.
Implementasi Algoritma Apriori Untuk Menentukan Pola Data Penyakit Pada Anak Usia Dini (Studi Kasus: RS. Estomihi)

Hospital is a place to treat patients with different types of diseases, and hospitals are also one of the health services that are medical, healing and recovery for patients. Many people who want to seek treatment at the hospital both parents and including early childhood. Based on this, researchers are interested in looking for patterns from large-scale data and associating data with one another using the Apriori algorithm. Thus, the diseases suffered by early childhood can be classified based on the medical record data, so that the pattern of early childhood disease can be known. The information produced can be used by the Hospital and the doctors on duty at the hospital to take the necessary actions in order to prevent the spread of a disease and also reduce the risk of death of patients suffering from disease
Conformance Checking Process Mining SAP Modul SD (Sales and Distribution) dengan Metode Heuristic Miner

PT ABC is one of the private companies in Indonesia which is the Fast-Moving Consumer Goods (FMCG) industry.PT ABC divided sales categories into 2 types, exports and local sales.This sales process was included in the SAP Sales and Distribution (SD) module.But until now there has been no analysis conducted by the company to evaluate the sales business process.Evaluation of the sales business process uses one part of the mining process that is conformance checking.This research found 18 business process variants from 4614 event logs.After evaluating 18 business process variants, a fitness value calculation of 0.90 is obtained, this indicates that the sales business process at PT ABC is not yet perfect according to the SOP that have been set.From 18 variants of business processes found, there was found one variant that was completely incompatible with SOP, a variant 8 and found also variants that had carried out business processes in accordance with SOP, a variant 3.
Implementation of the Firefly Algorithm in the Case of N-Queens Problem

N-Queen problem is a form of puzzle game that uses chess rules for the queen on the standard chessboard with modified size. The challenge of the n-queen problem is finding the N ( N is positive integer) queens position on the chessboard, so that no queen can attack another queen on the board in a single move. Implementation of firefly algorithm in n-queens problem in this study aims to find n-queen problem solutions and count the number of iterations to achieve the optimal solution of each queen which will then be compared with the results of Sarkar and Nag's research (2017). This study uses an experimental method with a number of N between 10 to 20 and uses a population of 15 and 1000 firefly. The results showed that the firefly algorithm is able to find all the optimal solutions for the queen's position on a chessboard with dimensions 10 to 20 in a population of 1000 firefly. The firefly algorithm can find the optimal solution fewer iterations compared to the genetic algorithm. According to the experiment, firefly algorithm shows better performance in finding the optimal solution compared to genetic algorithm.
Sentimental Analysis of Hotel Reviews

The comments and reviews on hotels are one of the most important sources of information in hotel reservation planning.Sentimental analysis is a tool for the classification of reviews provided by reviewers.The necessary information which is important about a hotel can be fetched from hotel reviews.In this project, Data mining technique is used to analyse the positive and negative words from the reviews of all the Hotels on the TripAdvisor website.Mining hotel reviews is desirable to gain knowledge about customer expectations and support effective management of customer relationships.
IMPROVING STUDENTS’ OUTCOME USING GEOGEBRA INTERACTIVE MEDIA IN LEARNING DERIVATIVES

The purpose of this research is to consider the benefit of applying GeoGebra interactive media to improve student achievement in learning derivatives. This study was experimental research using counterbalance design. The population of the study was four classes of grade XI students of SMA Negeri 3 Jayapura academic year 2018/2019 consisting of 122 students. Purposive sampling was applied in this study to get two experimental classes with the number of students were 22 and 26 respectively. In both experimental groups received the same treatment which were learning using GeoGebra interactive media and learning without using GeoGebra interactive media which applied orderly. This process was implemented four times at both classes interchangeably. The data of the study was collected from participant’s pretest and posttest at every learning treatment. Data was analyzed using Wilcoxon Signed test with the significance level (two-tailed) of 0.05. The result of the study shows that there are significant differences in learning outcomes of the two types of learning. The learning process which was designed using GeoGebra interactive media obtained the superior learning outcomes.
An Administration of the New Electronic Identity Management System in Southwestern Nigeria

The implementation phase of any policy either at the global, national, regional or organizational level has one important driving force, the policy strategies. They serve as the mapping hedge for controlling potential deviation or shortfall from the policy targets using the policy outcomes as the checker. Drawing its strength from a wide gap between the targets and outcomes of the National Policy on Identification System in Nigeria, this paper examines the policy strategies employed by the relevant agency for the ongoing implementation of the new Identification System using a qualitative and quantitative method. 31 staff of the National Identity Management Commission (NIMC) representing 10% of the study population (311) was administered with a closed-ended questionnaire, and in-depth interview conducted among some senior officers of the Commission. Percentages and narrative analysis were used to analyse the data. Findings showed that deployment of a user-friendly pre-enrollment electronic interface (57.1%); deployment of national ICT infrastructure (57.1%); inter-agencies collaboration (50%) were the only effective strategies among those identified by the study. The study submitted that most of the existing implementation strategies employed for the new Identification Policy in Nigeria are not effective. It further recommended among others decentralization of the enrollment process as well as an effective deployment of mobile registration centers to fast-track attainment of the targets set out in policy under review.
SYMMETRIC KEY DESIGN FOR IMAGE ENCRYPTION USING FUNCTION

This study shows the design of a new symmetric key design using mathematical function and string that can be used for image encryption.The input is an image and a mathematical function that is generated from a string (text).The symmetric key must be shared through the secure channel.
PENERAPAN DATA MINING UNTUK ANALISIS POLA BELANJA KONSUMEN MENGGUNAKAN ALGORITMA APRIORI PADA MALL CPM JAKARTA

Companies engaged in retail such as malls that have a lot of transaction data and sales transactions that are very much. Every purchase transaction made by consumers will be recorded and purchased in one database. Processing data in this study was carried out using a priori algorithm and using the help of the Weka application. The results of data mining in this study are expected to be able to produce new information about spending patterns in a certain period that can be used by the mall manager and store manager to support each related product promotion or organizing an event to increase the number of consumers in a certain period.
Apparent L-Falsity and Actual Logical Structures

In 2012, Orenes and Johnson-Laird found interesting results from the cognitive point of view but problematic if analyzed under methods such as the semantic one of extension and intension presented by Carnap. The main difficulty in this way is that Orenes and Johnson-Laird showed that people tend to accept, in the case of certain inferences, conclusions that, by themselves, are, according to the aforementioned semantic method, false in absolutely all of the state-descriptions that can be imagined. However, in this paper, a way to overcome that difficulty is proposed. That way is based upon the idea that the real logical forms of the conclusions accepted by the participants in Orenes and Johnson-Laird’s experiments were not the apparent ones, but they corresponded to other very different structures that can be true in some state-descriptions.
CONTENT VISUALIZATION OF ITE LAW FOR LEARNING PROCESS

The Information and Electronic Transaction laws (ITE Law) in Indonesia is still in the form of text and has not been effective in its dissemination, hence it is less attractive to the public, especially young Internet citizens. For this reason, there needs to be a medium as aÂ learning tool to understand the ITE Law. This study aims to visualize the contents of the ITE Law into an interesting learning media. The development model used is Multimedia Development Life Cycle (MDLC). The subjects of this study were students of Ganesha University of Education who were interested in studying the ITE Law. From the expertsâ€™ point of view, the content of this study is deemed valid, the media practical; the normality test obtained N-Gain value of 0.71, which is a high category. This study tested 20 respondents, resulting in 40%Â or very high responses and 60% high responses. These results indicate that the content visualization of the ITE Law is valid, practical and effective for learning. This application is expected to be able to increase the understanding of Undiksha students of the IET Law so that they can behave wisely and smartly on social media.
Mathematical Modelling as a Means of Formation of Methodical Competence of the Prospective Teacher

In this article the method of formation of methodical competence of students of pedagogical university is developed.The task of the higher school is to raise a new generation of professionally competent mathematics teachers.In this regard, there is a need to develop effective methods of training prospective teachers.The aim of the study is to develop a methodology for the use of mathematical modelling for the formation of methodical competence of the prospective teacher.The study used research methods such as theoretical analysis of scientific literature, observation, generalization.As a result, a method of using mathematical modelling as a means of forming the methodological competence of the prospective teacher was developed.Every method of scientific research, both theoretical and experimental, is based on the method of modelling, since in sign modelling, models appear in the form of graphs, drawings, formulas, systems of equations, sentences in natural or artificial (symbols) language.
Pengaruh Penggunaan Media Teknologi Informasi Untuk Meningkatkan Hasil Belajar Siswa Kelas X MAN Asahan

The main problem of this research is how is the influence of the use of information technology media on the learning outcomes of students in Asahan's Fiqh X MAN subject. The subject matter is then broken down into a number of subproblems or research questions, namely: 1) How the learning outcomes of students in Asahan Class X Fiqh subject taught by using information technology media and, 2) How students learn in class Fiqh subjects X MAN Asahan who is not taught to use information technology media, 3) Is there any influence on student learning outcomes on subjects taught and those who are not taught using information technology media in class X MAN. This type of research is classified as quantitative (experimental quasy) which aims to determine the effect of information technology media on the class X MAN Fiqh Asahan subjects. With the research design used is Nonequivalent control group design. the sampling technique is purposive sampling. The method of data collection conducted by researchers is a test. The form of the test used is a multiple choice multiple choice objective test. The research results from the calculation of the value with the help of computer program Statistical Package for Social Sciences (SPSS) version 24.0 for windows illustrate that there are significant differences in learning outcomes between classes using Information Technology media and classes that do not use Information Technology media. With a significance value of 0,000
The pedagogical conditions of successful system programming studying students of the speciality "Сomputer engineering"

System programming is an important component of the professional training of specialists specializing in "ComputerEngineering".Various factors and pedagogical conditions affect the learning outcomes of student learning in Assembler.The article outlines those which, according to the author, are the most important: initial knowledge and skills of students; programming environment for Assembler language; means of training; training method; motivating students to study programming at Assembler.Formulation the problem.The role of computer networks in human life continues to grow.Computer networks are used in most industries.Specialists of the specialty "Computer Engineering" carry out planning, installation and maintenance of computer networks at enterprises, organizations, and settlements.Specialists of this specialty are in great demand in the labor market.However, the pedagogical conditions for successful learning of system programming remain insufficiently defined. Materials and Methods. Analysis of research by scientists and methodologists, analysis of curricula, analysis of pedagogical experience.Results.The importance of system programming is indicated in the computer science education professional program.Based on the analysis of own pedagogical experience, it is established that the success of learning system programming depends on many factors: the level of logical and algorithmic thinking of students, the ability to create programs using basic algorithmic constructions, motivation, the use of optimal programming environment, control by the teacher.Conclusions.For successful training of students of the specialty "Computer Engineering," it is necessary to compliance system programming with the following pedagogical conditions: sufficient level of knowledge and skills in disciplines; choice of optimal programming environment; application of auxiliary means of training; appropriate training method.
Graziano Savà and Mauro Tosco, An Annotated Edition of Father G. Toselli’s Dizi Grammar

Review
Prediction-Based Partitions Evaluation Algorithm for Resource Allocation

Resource allocation is a well-known problem, with a large number of research contributions towards efficient utilisation of the massive hardware parallelism using various exact and heuristic approaches.We address the problem of optimising resources usage on deeply heterogeneous platforms in the context of HPC systems running multiple applications with different quality of service levels. Our approach manages the partitioning within a single heterogeneous node aiming at serving as many critical applications as possible while leaving to the upper levels of runtime resource management the decision to preempt resources or to launch the critical application on a different node. We investigate predictive allocation algorithms, allowing to serve up to 20% more high priority requests when using a moving average or machine learning prediction model vs baseline without prediction.