Reviewerly/exHarmony huggingface dataset:
PROGRAM BIMBINGAN DAN KONSELING DALAM MENGURANGI KECANDUAN GAME ONLINE OLEH SISWA KELAS VIII SMP MELATI BINJAI TAHUN PELAJARAN 2017/2018

The purpose of this research is to know the guidance and counseling program in overcoming the problems of the students who are addicted to online games, special programs to overcome the addiction of online games games and the willingness of students learning skill game online. This research was conducted at SMP Swati Melati Binjai, Jl. MT. Haryono, Ex. Jati Karya Kec. Binjai Timur Binjai City. The population in this study is the students of class VIII, amounting to 31 students. While the sample is the whole population of 31 students.From the results of the analysis of online game kecanduang prior to the guidance and counseling program with an average of 34.2 with a standard deviation of 5.5. From the results of the online game questionnaire analysis after the guidance and counseling program is known to average 38.8 with a standard deviation of 4.1. Both data are normally distributed. From these two variables it is concluded that the two data are homogeny.From the calculation results can be rhitung at 0.619 while the rtabel at the level of 5% of 0.349. so in conclude that the value rhitung> rtabel so Ho in rejected and Ha accepted. Because rhitung is in rejection area of Ho then Ha accepted. Ha accepted then and Counseling Program Can Reduce Online Game Addiction By Student Class VIII SMP Melati Binjai Lesson 2017/2018. From the calculation, has obtained the value with a crude number of ttable value is rxy of 2.04. Having known that the value of titung of 4.2. It can also be seen that a significant 5% indicates 2.04, so the value of rhitung> rtabel or 4.2> 2.04. so it can be concluded that and Counseling Program Can Reduce With Significant Online Game Addiction By Class VIII Students SMP Melati Binjai Lesson 2017/2018 Keywords: Guidance and Counseling Program, Addiction, Online Game
2단계 수열합성을 이용한 ZnO 계층 나노구조 기반 UV 센서 제작

Ultraviolet (UV) sensors are widely applied in industrial and military fields such as environmental monitoring, medicine and astronomy. Zinc oxide (ZnO) is considered as one of the promising materials for UV sensors because of its ease of fabrication, wide bandgap (3.37 eV) and high chemical stability. In this study, we used the hydrothermal growth of ZnO to form two types of ZnO nanostructures (Nanoflower and nanorod) and applied them to a UV sensor. To improve the performance of the UV sensor, the hydrothermal growth was used in a two-step process for fabricating ZnO hierarchical nanostructures. The fabricated ZnO hierarchical nanostructure improved the performance of the UV sensor by increasing the ratio of volume to surface area and the number of nanojunctions compared to onestep hydrothermal grown ZnO nanostructure. The UV sensor based on the ZnO hierarchical nanostructure had a maximum photocurrent of 44 μA, which is approximately 3 times higher than that of a single nanostructure. The UV sensor fabrication method presented in this study is simple and based on the hydrothermal solution process, which is advantageous for large-area production and mass production; this provides scope for extensive research in the field of UV sensors.
Measuring University Of Anbar EFL Students' Awareness of Emoji Faces in WhatsApp and their Implementations

Technology has changed our way of communication, especially the written communication via social media. In fact, people tend to use abbreviations in writing messages such as (plz) for please, (ex.) for example, (OMG) oh my God, and so on. Recently, vin the digital world, people start using Emoji in the social media sites such as: Facebook, Viber, Twitter, WhatsApp, and Instagram programmes which become part of everyday messages communication. To this end, the aim of the present study is to investigate EFL University of Anbar students' awareness of the meaning and representation of Emoji faces, and also to what extent do they use Emoji faces in written communication via Whatsapp program. To collect the data of the study, a test and an attitudinal questionnaire were used. The results of the study reveal that the students use Emoji faces in written communication in a very limited way, and the majority of them do not have awareness of most of Emoji faces’ meaning and representation. Sometimes, unknown meaning of Emoji faces lead to misunderstanding between the sender and the receiver if one uses them in a random way.
PROFESSIONAL TRAINING OF FUTURE MASTERS OF PRE-SCHOOL EDUCATION IN THE USE OF INNOVATIVE TECHNOLOGIES: CONTENT COMPONENT

The article describes the content component of future masters of pre-school education training for innovative activity in pre-school educational institutions. Innovative activity of a kindergartener is a demand of modern education, which involves a complex of individual changes of the pedagogical process components: content, forms, methods, technologies, teaching means, management systems; it is a higher level of pedagogical creativity, pedagogical ingenuity, and the introduction of something new in pedagogical practice.The authors have offered the introduction of a subject “Innovative technologies in pre-school education” for applicants of the second (master’s) level of higher education of specialty 012 Pre-school education. This subject has the aim of forming the readiness of future masters to innovate activity in pre-school educational institutions. Its purposes are to master the knowledge of popular innovations in pre-school education and the current state of their use in native pre-school education at the regional and national levels; to develop their skills to introduce new ideas into the educational process of pre-school educational institutions methodically, competently, and creatively; to form comprehensive professional interests, cultural and aesthetic level of an educator’s education in understanding and perceptions of various ideas, thoughts, directions, currents, etc.The information volume of the subject “Innovative technologies in pre-school education” is outlined. The content of module 1 “Essence of educational innovations in pre-school education” consists of “Theoretical principles of implementation of innovative processes in educational institutions” and “Educational innovative content in pre-school education”. The content of module 2 “Innovative technologies in pre-school pedagogy (upbringing) and psychology of development of a child of pre-school age» consists of “General pedagogical and management technologies used in pre-school educational institutions” and “Innovative technologies of upbringing pre-schooler personality”. The content of module 3 “Innovative technologies of pre-school education methods” consists of “Technologies of cognitive development of children of pre-school age” and “Technologies of learning and speech activity of pre-school children”. Awareness of innovative technologies will help to form professional competence of future masters of pre-school education.
A Comparison of ANFIS, SVM and KNN models for the face recognition in unconstrained environment

For the rapid extending applications of face recognition as an important technique for identification over other biometric features, different types of databases of images have been generated and published.The existing face datasets can be collected either in controlled environments such that the ones used for drivers' license and passport or unconstrained environments such that with variation in size, position, pose, lighting, expression, background, camera quality, occlusion, age, and gender.Many techniques were proposed to identify different acquired characters, resulting in wide various accuracies and other measures.Supervised machine learning techniques especially Adaptive-network-based fuzzy inference (ANFIS), K-nearest neighbor (KNN|) and support vector machine (SVM) have been widely used as models in this context.In this paper, we study the accuracy result of those models when used in various types of database, and conclude with the best conditions for satisfactory recognition results.
Learning Multimodal Representations by Symmetrically Transferring Local Structures

Multimodal representations play an important role in multimodal learning tasks, including cross-modal retrieval and intra-modal clustering. However, existing multimodal representation learning approaches focus on building one common space by aligning different modalities and ignore the complementary information across the modalities, such as the intra-modal local structures. In other words, they only focus on the object-level alignment and ignore structure-level alignment. To tackle the problem, we propose a novel symmetric multimodal representation learning framework by transferring local structures across different modalities, namely MTLS. A customized soft metric learning strategy and an iterative parameter learning process are designed to symmetrically transfer local structures and enhance the cluster structures in intra-modal representations. The bidirectional retrieval loss based on multi-layer neural networks is utilized to align two modalities. MTLS is instantiated with image and text data and shows its superior performance on image-text retrieval and image clustering. MTLS outperforms the state-of-the-art multimodal learning methods by up to 32% in terms of R@1 on text-image retrieval and 16.4% in terms of AMI onclustering.
Service Broker Algorithm for Datacenter Selection with light and heavy load in Cloud Computing

The cloud brokering architecture is composed of five main players for example, cloud suppliers, cloud merchants, cloud evaluator, cloud transporter and cloud buyers.Every one of the players is the elements that take part in the exchange or procedure in cloud computing.Shoppers make a solicitation on executing the correct undertakings on distributed computing acquired from the cloud supplier.A cloud evaluator gathers the vital data.The capacity of a cloud representative conveys the virtualized framework along with the administration demand depiction and provide for the purchasers.The administration demand depiction comprises of some after standards, for example, improvement, set of the virtual machine, Service Measurement Index (SMI) traits and datacenter.There likewise the chance of having higher preparing time, reaction time and outstanding burden in the chose datacenter additionally underutilization of assets.So as to defeat the previously mentioned issue, it is smarter to choose the datacenters in terms of response time, processing time, workload and cost.
Special Use Cases and Configurations

In this chapter, we cover a series of use cases for specific configurations of MongoDB in production, such as hybrid on-prem/cloud clusters, low-latency applications, using an LDAP pool for authentication, and how to store large binary files.
Hands-On Demonstrations for Natural Hazards

&amp;lt;p&amp;gt;Here we present several teaching demonstrations and hands-on activities for natural hazards. Many methods exist to actively involve students and local community participants, particularly when numbers are large, so that teaching is not just `receiving of information' via monologue talks and using powerpoint. These methods include (a) breaking up into small group discussions, (b) group &amp;amp;#8216;role playing&amp;amp;#8217; exercises, (c) serious games, (d) hands-on activities, and (e) class demonstrations. This paper concentrates on the latter and includes demos/activities for (a) earthquakes, (b) landslides, (c) tsunamis, (d) volcanoes and (e) weather. Natural hazards demonstrations/activities presented here are mostly inexpensive, have been used in front of large university classes and smaller `break-out groups', and are also appropriate for secondary-school students, university students, and local community communications. We have found that as a teaching tool, students and community participants often become much interested and more excited about what they are learning if use is made of these 5-10 minute class demonstrations or activities, even if only peripherally related to the subject at hand. Resultant discussion with questions and comments by students keeps both the students and the lecturer motivated and intrigued about the subjects being discussed. Days, weeks, and months later, the students remember these `demonstrations', but to set these up takes time, effort, and resources of equipment, although not necessarily a large amount of the latter.&amp;lt;/p&amp;gt;
A Further Understanding of Differential‐Linear Cryptanalysis

Differential-linear cryptanalysis has attracted much attention since proposed to attack DES in 1994, and then some generalized theories are developed to complement and unify the method. However, the links between differential-linear cryptanalysis and other important cryptanalysis methods have been still missing. The motivation is to fix the gap. By establishing some boolean equations, we propose the mathematical links among differential, linear and differential-linear attacks. We then generalise the definition of capacity and present some properties of the capacity of differential function. The links and properties are employed to explore the relationships between multidimensional differential-linear hulls and integral distinguishers. We show that a multidimensional differential-linear hull of certain correlation always implies the existence of an integral distinguisher and a zero-correlation linear hull, while a special integral distinguisher indicates the existence of a multidimensional differential-linear hull.
Investigating Critical Factors Ministrating Organisations to Achieve Online Reputation Management

In the era of the Internet, digital marketing opened a gate of vivid opportunities for enhancing the reputation of businesses on online platforms. Online Reputation Management plays an essential role in Digital Marketing. It helps to maintain a better image for the business, and minimises the consumer's bad perception of a company. This study attempts to identify the factors and associated variables which help an organisation to build and manage its online reputation, and also to design a conceptual framework based on factors and associated variables identified from past studies. From the previous studies, a gap was identified wherein organisations and companies are neglecting or ignoring the seriousness of Online Reputation Management. This study is an effort to fill this gap by providing the best possible conceptual solution by way of defining the essential elements in the conceptual framework that steer organisations towards significant readiness for improved ratings and for building an online reputation. Finally, it has been concluded that Online Reputation Management is very significant for building the positive online reputation of an organisation.
UPAYA PENINGKATAN KREATIVITAS DAN PRODUKTIVITAS SANTRI PONDOK PESANTREN AL – ISTIQOMAH II MELALUI PELATIHAN KARYA SENI ISLAM

AbstractIslamic Boarding School are the institutons based education of islam that taught me all sorts of science of good formal and non formal. in Islamic boarding school also developed various fields namely the development of social, the development of academic, and development of skills. In addition there are lots of ways to increase creativity santri through Islamic work of art. Which were training calligraphy in Islamic boarding school the Al – Istiqomah II in Bendunganjati developing in the village, pacet sub-district, Mojokerto areas, which has only thirteen santri muqim. Lack of teaching staffs inversely proportional to their potential in Islamic boarding school the Al – Istiqomah II. Where santri high articulate their interest in the field of art. Need the training held calligraphy works of art as a condult to channel the santri. Interest and talent method that is done in training a work of Islamic art calligraphy is to observe the interest an talent ownwed partners through interviews, do the training method at regular intervals for lecture, real work carried out and the marketing method through the online and offline shop. Shop training through training this, calligraphy expected to improve creativity owned santri, increase liveliness santri whitin the realm of art visual aesthetic, can also increase productivity santri when calligraphy works of art can be sold as a receptacle for entrepreneur.Keywords: Creativity, Productivity, and Training of Islamic art.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI MONITOR KETERLAMBATAN ABSENSI BERBASIS SMS GATEWAY DI PT. INDOSAT OOREDOO BATAM

PT Indosat Ooredoo Batam Northern Sumatra Region Office was inaugurated on March 2, 1985 by the President remotely from Bina Graha building with the Prime Minister of Malaysia under the name PT Indosat division Medan. 1992 PT Indosat began to develop its services to Riau Islands particularly the island of Batam. Due to the operational area and the development plan service area division Medan, Medan PT Indosat Division was changed to PT Indosat Division of the Western Conference Indonesia. 2005 PT Indosat Ooredoo Batam Indonesia Division of the Western Conference changed its name to PT Indosat Ooredoo Batam Sumatra Regional Office, and on June 1, 2006, the name changed again to PT Indosat Ooredoo Batam Northern Sumatra Region.PT. Indosat Ooredoo Batam, Engineering Division which has more than 50 BTS (Base Transceiver Station) and more than two thousand card customers Indosat in Riau Islands, the BTS (Base Transceiver Station) must always be in good condition, the constraints faced by PT. Indosat Ooredoo Batam, namely, the difficulty of me-monitoring of employees who have come or arrive late, because the attendance system used is still using manual attendance so that managers can see only direct employee absenteeismThe solutions offered to address the problems that exist in PT. Indosat Ooredoo Batam ie, by designing applications based attendance SMS gateway, which can provide the ease and speed up the manager in me-monitoring employee attendance through sms.
Photonic Neural Activation Function Using An ITO Electro-Absorption Modulator

We demonstrate an ITO-based electro-absorption modulator monolithically integrated into silicon photonics as nonlinear activation function of a photonic neuron. The synapse and neuron circuit executes a 200-node MNIST neural network benchmarking the nonlinear activation function.
Mathematical model of the functioning a specialized microprocessor device as a basis for compiling its functional specification

The article formulates the requirements for the functional specification of a specialized microprocessor device, reflecting the features of such devices and the functional specification as a whole.These requirements form the basis for choosing formalisms for describing the operation of a specialized microprocessor device.Based on the study of the set of permissible interactions of a specialized microprocessor device with the external environment, a mathematical model of its functioning is developed for the purpose of compiling a functional specification.
Debit Card Fraud Recognition Using Enhanced Auxiliary Classifier Generative Adversarial Networks

With the recent increasing trend of fraudulent transactions involving debit cards in Indonesia, fraud recognition for debit card transactions is an important and challenging problem to be examined.The purpose of this research is to recognize fraudulent transactions on debit cards with development of the Enhanced Auxiliary Classifier-Generative Adversarial Network (EAC-GAN) model which is a development of Auxiliary Classifier-Generative Adversarial Network (AC-GAN) model.EAC-GAN uses AC-GAN, Synthetic Minority Over-sampling Technique (SMOTE), Principal Component Analysis (PCA), and tuning parameter to recognize fraud transactions in debit cards and increase F1-Score.SMOTE is used to overcome imbalanced data in debit card transactions dataset.Then PCA is required to reduce dimension of the dataset and to know which factors are influential in explaining the phenomenon in the dataset while maintaining characteristics of the data.Parameter tuning is useful to achieve the best F1-Score in training and testing the EAC-GAN model.This research also explores the study of AC-GAN and Convolutional Neural Network 2 Dimension (CNN2D) performance.The result of this research describes that EAC-GAN model beats CNN2D done in the previous research.F1-Score for EAC-GAN is 74% and F1-Score generated by the CNN2D model is 35%.Conclusion from this research is that EAC-GAN model works better in fraud transaction in debit cards surpassing CNN2D model.
Cloud Security Ecosystem for Data Security

In the past couple of years Cloud Computing has become an eminent part of the IT industry. Because of its economic benefits more and more people are heading towards Cloud adoption. In present times there are numerous Cloud Service providers (CSP) allowing customers to host their applications and data onto Cloud. However, Cloud Security continues to be the biggest obstacle in Cloud adoption and thereby prevents customers from accessing its services. Various techniques have been implemented by cloud service providers in order to mitigate risks pertaining to Cloud security. In this project, we present a Hybrid Cryptographic System (HCS) that combines the benefits of both symmetric and asymmetric encryption thus resulting in a secure Cloud environment. The project focuses on creating a secure Cloud ecosystem wherein we make use of multifactor authentication along with multiple levels of hashing and encryption. The proposed system along with the algorithm are simulated using the CloudSim simulator. To this end, we illustrate the working of our proposed system along with the simulated results.
절대평가 도입 후 수능 영어 듣기 및 읽기 지문의 난이도 비교: 통사적 복잡성, 소재, 이독성을 중심으로

As an absolute grading scale was implemented on CSAT (College Scholastic Ability Test), it is entirely necessary that each test be consistent in the level of difficulty. This study assessed the difficulty level of each listening and reading passage in CSAT conducted over the recent three years, focusing on the syntactic complexity and the domains where more studies are required. Furthermore, the readability referring to FRE, FKGL, and GFI, which is the most widely used method to assess how difficult it is, was also applied for the assessment. The readability was aimed to compare the difficulty level of CSAT’s passages with that of EBS prep books’ for they have been propounded to affect the difficulty level of the CSAT texts by the precedent research. The following shows the results: First, the 14 measures of syntactic complexity did not demonstrate any difference in CSAT passages that were given each year. Next, no difference in difficulty level was observed in the aspect of the domains where hypothetical scores are given. Finally, there was no significant yearly variance in passages of CSAT and EBS prepbooks, and the interaction between them was not found as well.