Reviewerly/exHarmony huggingface dataset:
Cognitive ergonomics on the move: Art ecosystems are a new application domain

The unprecedented state of contemporary art is due to the integration of advanced science and technology. The complementary and coordinated development of art and technology is expected to gradually revolutionize people's traditional perceptions in a wide range of art domains. This revolution belongs to artists as well as to the increasingly different types of other stakeholders. This paper explores the changing process of the role of cognitive ergonomics in aesthetic creation, participation, and experience. The value of experience as component of CE for the modern art domain is discussed.
Scalable, Distributed Application and Database Systems for e-Governance

Distributed System is a grid of independent computers which share different resources and capabilities with the use of a distribution middleware software [1]. Cloud computing offers customers to scale in and scale up their applications in an effective manner by building their own clusters in distributed systems [2]. A distributed system can offer parallel execution of processes and sufficient utilization of all resources at once. The use of distributed systems in e-governance can help in overall cost reduction, greater availability, and higher flexibility of the system. For a system to perform efficiently, it is very important for the distributed system architecture to be reliable, extensible and scalable to adapt the changing environments and load. This paper tries to detail different types of techniques and implementation of client-server architecture in which the distributed system can be implemented for better performance and efficiency of the system.
A Visual Cryptography Scheme for Secret Hiding using Pre-Processing

Visual cryptography is a cryptographic technique in which an image (secret) is encrypted using shares of the image and then those shares at the receiver side are overlapped to decrypt the original secret. The advantage of such a process is that no high computation power is needed to decrypt the secret. However, the ease of working reduces the overall security of the system. Any individual to whom the secret is not directed can intercept the shares and look at the secret. Another disadvantage of such a system is, reduction of image quality (contrast) at the receiver. In this paper, we introduce a new algorithm which handles the above mentioned cons. The secret is perfectly encrypted and then overlapped on hiding image (overlap image). The secret image is encrypted using very low complex computation which makes it easier to use and implement. Image contrast is not distorted at the receiver and the secret is well encrypted which disables any interceptor to decode the secret even if he intercepts all the shares. The algorithm also introduces the concept of keys which are used to increase the overall security of the system. Another advantage of this system is not having multiple images to hide the shares.
Register Based on Large Scene for Augmented Reality System

Register is steadily gaining in importance due to the drive from various computer vision applications, such as augmented reality (AR), mobile computing, and human-machine interface. Efficient keypoint-based approachs are widely used in scene register. These approaches often model a scene as a collection of keypoints and associated descriptors, and then construct a set of correspondences between scene and image keypoints via descriptor matching . Finally, these correspondences are used as input to a robust geometric estimation algorithm such as RANSAC to find the transformation of the scene in the image. This paper focuses on designing a robust and flexible registration method for wide-area augmented reality applications. Firstly, we propose to partition the whole scene into several sub-maps according to the user’s preference or the requirements of the AR applications instead of building a global map of the wide-area scene. Secondly a linear structured SVM classifier is used to perform scene learning online, which allows us to quickly adapt our model to a given environment. Finally, a hybrid tracking strategy is implemented by combining both wide and narrow baseline techniques. Some experiments have been conducted to demonstrate the validity of our methods.
EVALUASI KETERSEDIAAN LITERATURDENGAN MENGGUNAKAN ANALISIS SITASI TERHADAP SKRIPSIMAHASISWA FSRD ISI SURAKARTA TAHUN 2018DI UPT PERPUSTAKAAN ISI SURAKARTA

This study entitled Evaluation of the Availability of Literature by Using CitationAnalysis on Thesis Students of ISI Surakarta FSRD in 2018 in UPT Surakarta ISI Library.In relation to this topic, the purpose of this research is, firstly, to know the availability ofcollection, provided in the library, which was cited in finishing the bachelor theses, thesecond purpose is to know what kind of literature was reffered to write bachelor theses ofthe FSRD ISI Surakarta students in 2018 , the last one is to know what language and itslevel of colletion was cited in completing the bachelor these.This research uses quantitative methods. This research is descriptive with thesubject of thesis research students FSRD ISI Surakarta in 2018 totaling 49 theses. Whilethe object of this research is the entire citation contained in the bibliography of the thesis.Whereas, the object of the research is all literatures provided by the bachelor thesesappeared in the list of reference numbering at 906 items. The result of the research showsthat The availability of collection referred in the library is by 488 (53,86%) items and therest, by 418 (46,13%) items is not available, there are 5 kinds of literature used asreference in writing the bachelor theses FSRD of ISI Surakarta graduated in 2018, namely;book by 776 (85,65%), bachelor thesis by 89 (9,823%), journal by 36 (3,98%) masterthesis by 4 (0,441%), and research report by 1 (0,110. In addition to that, there are twolanguages of the collections referred, namely: Indonesian and English. The first one ismostly referred by 852 (94,039%) times, and English 54 (5,96%) times.
Special Features of Economical Self-Determination of a Person as a Predictor of its Burn-Out in Profession (Based on Materials of Secondary School Teachers)

This article publishes the results of one of the series of multidimensional research of correlation of mental wellbeing of a subject of professional activity with individual features of his or hers economical self-determination.Social urgency of the research is connected with the necessity of improving the methodology and instrumentarium of psychological practicum taking into consideration complication, dynamics and unsteadyness of economic environment of living of a modern person (including professional functioning)).Scientific timeliness is specified by inefficient study of interdependent influence of a content and results of professional and economic selfdetermination of a person on his or her subjective well-being in profession and his or her psychiatric health in general.Experimental basis of the published research is represented by teachers, working at different stages of secondary education (primary, middle and high classes) in town and country schools.(175 children).Empirical verification of suggestions about the existence of connection of signs of teacher's burn out of triology of eco-saving orientations in the process of his or her economic self-determination (nature, socio and selfsaving confirmed its existence.In order to diagnose variables under study validate psychognostic methods were used: questionnaire "Burn-out V.V. Boiko and questionnaire «E-CO» G.G. Khashchenko, N.N.Safukova, S.V. Boltunova.For statistical data manipulation correlation analysis was used (Spirman method), comparison method of free variables (u-criteria of Mann-Whitney), cluster (K-means) analysis with the use of software programme «Statistika for Windows».Obtained results bear witness of the special features of economical self-determination of a person can act like a predictor of its burn-out in professional sphere, have practical applications in the number of reasons for predicting of psychological ill-being of a man and working out of preventive actions and removal.
The Effect of Media Literation on Hoax News Acceptance Among Students

News or information is very fast circulating through social media.Those who often use social media on a daily basis will get a lot of information from social media.This allows them to be exposed more often to news with sources whose truth is unclear.For those who are not media literate, such a thing is considered right.This requires media literacy in order to reduce hoax news reception.With media literacy, it is expected that the public can access, sort and understand various types of information that can be used to improve the quality of life such as not easily receiving hoax news, the public can also better select which news should be spread and which cannot.Data analysis technique used in this study is a simple linear regression analysis technique to analyze the relationship of independent variables with the dependent variable with the help of the SPSS program to determine the effect of media literacy on hoax news among students of the Islamic University of Makassar.This study aims to determine the effect of media literacy on hoax news reception among Makassar Islamic University students.The results showed that there was an influence of social media literacy on hoax news reception by 0.204, which means the percentage contribution of media literacy variable influence on hoax news reception by 20.4%, while the remaining 79.6% was influenced by external variables.
Residual Concatenated Network for ODBTC Image Restoration

This paper proposes Residual Concatenated Network (RCN) for improving the quality of Ordered Dither Block Truncation Coding (ODBTC) decoded image. This method inherits the effectiveness of Convolutional Neural Networks (CNN) for suppressing the impulsive noise occurred in decoded image. It suppresses the noise by applying a series of convolutional operations. The network directly performs learning process via an end-to-end mapping approach. The experimental results reveal that the proposed approach yields a promising result in the ODBTC image restoration.
THE DIFERENT BETWEEN HYBRID, WEB AND NATIVE MOBILE APPLICATION

There are serious grow in the number of mobile devices industry, where each year large companies such as apple and Galaxy introduce new mobile devices and tablets (McGuirk et al). Recently, in September 2015, apple just releases a new version of its iPhon’s series called iPhone 6 (Apple, 2014). Such growth cause large, medium and even small companies to think about developing applications for those mobile devices. Clearly, companies should know the different between developing a native mobile application that is install from big online market such as Apple Store or Google Play, web application which should be render in the mobile device browser or hybrid mobile application which is a gather some characteristics from both previous ones. Enlighten the organizations with available options would certainly help them to pursue the right choice.
Dynamic Information Security Management Capability: Strategising for Organisational Performance

The increasing frequency, impact, consequence and sophistication of cybersecurity attacks is becoming a strategic concern for boards and executive management of organisations. Consequently, in addition to focusing on productivity and performance, organisations are prioritizing Information Security Management (ISM). However, research has revealed little or no conceptualisation of a dynamic ISM capability and its link to organisational performance. In this research, we set out to 1) define and describe an organisational level dynamic ISM capability, 2) to develop a strategic model that links resources with this dynamic capability, and then 3) empirically demonstrate how dynamic ISM capability contributes to firm performance. By drawing on Resource-Based Theory (RBT) and Dynamic Capabilities View (DCV), we have developed the Dynamic ISM Capability model to address the identified gap. As we develop this research, we will empirically test this model to demonstrate causality between ISM capability and organisational performance.
New threats in the cyberspace based on the analysis of the TOR (The Onion Router) network.

New technologies change the society and generate new threats with respect to hiding human identity on the Internet. The aim of the paper is to present the origins, functioning and actual application of the TOR (The Onion Router) network. The author discusses the issue of anonymity as a driving force behind the TOR network which was ignited by social and political problems on the international arena. Also the relevance of TOR for the free flow of information and freedom of social communication on the Internet as well as thematic cross-section of its resources are presented. Further on in the paper the author shows a payment system in the TOR network which is based on cryptocurrencies, mainly on Bitcoin, and proves to be an ideal means of payment for illegal transactions. The paper also lists the most frequently committed crimes now and warns that the newly emerging forms of crimes which rely on anonymizing technologies, will pose a real challenge for law enforcement agencies and the system of justice. The TOR network by providing criminals with anonymity speeds up the development of cyber crime on an unprecedented scale and transfers traditional crime into a completely new dimension. The TOR network may have been well-meaning originally but has become a global threat.
Pertumbuhan Kebutuhan Pondok Pesantren Menggunakan Graph

Islamic boarding school is one of the educational institutions in Indonesia as a means of learning Islam. Every Islamic boarding school in Indonesia has a different growth. The growth in the needs of Islamic boarding schools is strongly influenced by the number of new students enrolling, so it is necessary to plan and analyze the growth of the needs of Islamic boarding schools as a determinant of planning for further handling. This study aims to determine the growth of existing facilities in the boarding school in the specified operational standards. The stages of this research are knowing the history of Islamic boarding schools to determine the initial formation until they become qualified boarding schools, then we can draw a chart using Graphs to see the growing needs of each period. In the calculation, the AHP (Analytical Hierarchy Process) method also has a role to analyze the value generated from the Graph calculation as a benchmark for each growth period, so as to produce growth charts of the needs of Islamic boarding schools in each period. From this research, it can be used to actualize further business architecture.
A Descriptive Study on the Use of Communicative Language Teaching (CLT) For Teaching Speaking at SMAN 1 Praya

Learning a language is in need of excessive amount of exposure. Sufficient input leading to speaking fluently and accurately. Therefore, communicative competence is far more important skill to develop. In other words, it implies that communicative language teaching henceforth (CLT) is important teaching method for it is designed to top up students communicative proficiencies. Nevertheless, language teachers (English) paid no attention towards for such method. Thus, this research was carried out in order to investigate and describe the implementation of CLT in teaching speaking. This research was intended to describe the implementation of CLT principles by two English teachers at second grade of SMAN 1 Praya. The data were obtained through classroom observation and interview with both of the English Teachers. The data were analyzed by using Miles and Huberman Model. The result of this study revealed that English teachers implemented CLT principles through various ways such as Teacher-Students Conversation, Students- Students Conversation, and Students individual Work. The data also showed that the classroom activities catered and thrilled the students to communicate in target language i.e. English. Moreover, to support the activities and to activate the passive students, the teachers used game, work in group, direct interaction, and role play. Among supporting activities, game was the most attracted followed by role play, group discussion, and direct interaction.
Impact of Strategy Implementation (Strategy, Structure, and Human Resources) on Organizational Performance with in Abu Dhabi Police, UAE

The main objective of the study is to examine the impact of strategy implementation on the organizational performance in the context Abu-Dhabi police department in the UAE. The present study adopts quantitative research design in its quest to achieve a credible study. As such, questionnaire was developed and used to elicit the respondents’ opinion on the effects of strategy formulation on the UAE public sector performance. 423 usable responses were analyzed using SPSS and Partial Least Squares Structural Equation Modeling-Variance Based was employed to assess the research model. Non-probability sampling technique was adopted to gather the required quantitative data. Based on the findings in relation to this objective, the study concluded that the results indicated that strategy implementation (strategy, structure, and human resources) has a significant and positive impact on organizational performance. Results would give insights for Abu-Dhabi police.
Research on Program Code Mining Method

With the increasing amount of program source code data in the development of the open source community, there are reusable program patterns in the vast amount of code data. The existing program pattern mainly relies on manual extraction and there are problems such as high labor cost and a small number of acquired modes. This paper proposes a program code mining method for this problem. Automated mining of program pattern by this method saves labor costs and time costs and can more accurately mine more program patterns. In the mining process, the pre-processing is performed to convert the code data into a digital sequence and then the SPADE algorithm is used for automatic mining to obtain a reusable program pattern. After comparison with PrefixSpan and GSP mining algorithms, the results show that the method is effective.
IMPLEMENTASI ALGORITMA RIJNDAEL DALAM ENKRIPSI DAN DEKRIPSI GAMBAR DIGITAL BERBASIS WEB

More and more abuse of digital images, data or information that is personal in nature can be easily known by others who are not entitled through digital images. This can cause material and immaterial losses to people whose personal information is misused by others. Then the application applies the Rijndael algorithm to secure digital image images which contain information or data that is personal in nature. In securing digital images, the Rijndael algorithm is used to protect the information contained in these images, this algorithm runs with processes such as SubBytes, ShiftRows, MixColumns, and AddRoundKey. The methodology applied is data collection methods such as field studies and literature studies, then methods of developing Waterfall software (Communication, Planning, Modeling, Construction, and Deployment) for system design. The results of the test analysis get an accuracy value of 100% from the 14 image files tested, all of them were successfully encrypted and decrypted so that it returned to the original form of the original image. For further development, this application can input the data files of other documents and increase the key length to 196 bits and 256 bits
Adaptation and implementation of agile project management methodology in software development

Adaptation And Implementation Of Agile Project Management Methodology In Software Development
ISOLASI KAPANG SELULOLITIK DARI TANAH HUTAN JATI KARE KABUPATEN MADIUN SEBAGAI BAHAN PEMBUATAN MODUL MIKROBIOLOGI SMA KELAS XII

The preparation of microbiology modules is intended as teaching material based on microbiology research in the form of cellulolytic mold isolation. The method of taking molds was obtained from the results of soil isolation taken from the teak forests of Kab. Munun. The results of isolation from the soil obtained 3 different types of molds, namely Aspergillus sp, Rhizopus sp, and Penicillium sp. The main parameters in the preparation of this biotechnology module are the results of microscopic and macroscopic observations, and descriptive analysis of these molds. It can be concluded that the preparation of research-based modules is a new breakthrough in the module making guidelines that can be used as relevant teaching materials Keywords: Mold Insulation, Cellulolytic Molds, Microbiology Module
SISTEM INFORMASI PELAYANAN MASYARAKAT DI KELURAHAN PANARUNG, KECAMATAN PAHANDUT PALANGKARAYA BERBASIS WEB

Panarung village office, pahandut sub-district is one of the sub-districts located in the city of palangkaraya. In carrying out these tasks and functions, the Panarung village office does not yet have an information system that can support public service activities. All service processes are carried out manually. This study aims to create web based information system that can be used by outward employees in Panarung Village to carry out service activities to the people in the Panarung Village area using waterfall software development methods, PHP programming languages ??and MySQL databases. Testing using blackbox testing. Based on the test results, it can be concluded that this information system can be used for service activities to the community in the Panarung village
Blockchain Distributed Cloud Storage Network Tool (BCCNT)

BCCNT (Blockchain Cloud Network Tool) is open source project to make cloud storage applications decentralized which will make them secure and efficient for the end users. It provides a platform for the prototype of a completely distributed network. It is proposed to develop an application which can provide a user interface for less technical/non-technical users. The cryptocurrencies functions both as a bonus and payment method. While on the other hand a separate blockchain is used to store the data for the metadata file. The application needs to be run in a P2P mesh from systems that will execute the code, present on a public chain of data instead of a central database. The main thought behind BCCNT is to offer a group of functions which makes it easy to connect Cloud & major platforms’ and end users.
Social Media Text Streaming Visualization

Social media registers millions of messages per second. This paper aims to develop a visual analysis that allows identifying events of particular interest and the time intervals in which they occur. This analysis uses text mining techniques and sentiment analysis.