Reviewerly/exHarmony huggingface dataset:
PENGARUH TAYANGAN TELEVISI TERHADAP TINGKAT PRESTASI BELAJAR ANAK KELAS V SD NEGERI 071162 ESIWA

The research aims to determine the effect of television broadcasts on the learning achievement level of fifth grade SD Negeri 071162 Esiwa children. This research was conducted at SD Negeri 071162 Esiwa in January 2019 until the end of April 2019. The samples in this study were all students of Class V SD Negeri 071162 Esiwa with a total of 40 people. The independent variable of concern in this study is television, while the dependent variable is learning achievement. To obtain material in this study, the authors chose a data collection tool, namely a questionnaire. Data analysis used simple linear regression analysis. The results showed that the product moment correlation test results showed that the effect of television shows had a positive and significant relationship to student achievement.
PENINGKATAN KEMAMPUAN MENULIS DENGAN MODEL PEMBELAJARAN ADVANCE ORGANIZER PADA SISWA SMAN 7 MATARAM

This study aims to obtain objective descriptions of learning with the advance organizer model in class XI students of SMA Negeri 7 Mataram to improve their short story writing skills. This type of research is classroom action research. The implementation consists of two cycles, each cycle consisting of two meetings. The data were collected by using the literature method and the method of observation, while the data were analyzed using the mastery learning formula. Based on the results and discussion, it can be concluded that the ability to write short stories using the advance organizer learning model in class XI students of SMA Negeri 7 Mataram has increased, both in terms of process and results. The process improvement is indicated by almost all indicators of action that have been implemented by all students. While the increase in results can be seen from the average value of each aspect has increased: (1) aspects of the theme, from an average of 79.16 in the first cycle to 87.90 in the second cycle; (2) the opening aspect of the story has increased from the first cycle with an average value of 65.83 to 73.38 in the second cycle; (3) Character aspect, from cycle I 70.83 to 72.58 in cycle II; (4) the background aspect of the average value in the first cycle of 68.33 to 72.58 in the second cycle; (5) plot aspects, from an average value of 69.16 to 78.22 in the second cycle; (6) impression aspect, the average value from 62.5 to 69.35 in cycle II.
THE PHENOMENON OF CLIP THINKING IN THE CONTEXT OF HIGHER EDUCATION

This article is devoted to the problem of clip thinking as a phenomenon of the modern information society. Since the clip type of thinking is mainly a characteristic of modern children and young people, the authors emphasize the special importance of this problem in relation to the system of education and upbringing. According to the authors, the communication of participants in the educational process, who usually belong to two fundamentally different types of thinking: linear and nonlinear, makes the problem particularly relevant. The article raises the problem of the origin of a new type of person in modern conditions with a different way of perceiving the world and approaches to information processing, a different system of priorities, moral and ethical values. The characteristic features of people with clip thinking are revealed. The authors emphasize the objective nature of the reasons for the origin of the phenomenon of clip thinking in modern society. Like any type of thinking, clip thinking has a certain list of positive and negative features that need to be taken into account in the learning process and gently corrected through education. The article focuses on the problem of revision of the approaches to teaching young people in the system of modern higher education. According to the authors, interactive and visual methods should play an important role in the learning process, and a special attention should be given to role modeling of situations aimed at strengthening empathy and increasing the sense of responsibility.
Rancang Bangun Aplikasi IoT Remote TV Berbasis Realtime Database dan Komunikasi Inframerah

Pada riset ini akan dijelaskan bagaimana pembuatan sistem Internet of Things (IoT) pada perangkat rumah tangga. Pada laporan kali ini lebih berfokus dalam membuat IoT yang mengendalikan Televisi. Cara pengendalian tersebut adalah dengan membuat aplikasi remot TV yang berbasis daring, dengan menggunakan hardware mikrokontroler ESP8266 NodeMCU untuk memancarkan signal Infrared kepada Televisi. Pada laporan ini juga penulis menerangkan cara penggunaan database Google Firebase dan pembuatan aplikasi android berdasarkan framework Flutter, serta pembuatan source code untuk aplikasi menggunakan Visual Studio Code (VScode) dan Arduino IDE untuk mikrokontroler. Flutter dipilih karena merupakan framework cross-platform, open source, dan gratis untuk digunakan, sementara Firebase dipilih sebagai platform basis data karena Firebase mudah digunakan dan mudah untuk diintegrasikan oleh aplikasi Flutter dan perangkat mikrokontroler. Pada akhir kegiatan kerja praktek penulis dapat menyelesaikan aplikasi IoT dan integrasinya dengan NodeMCU, serta menulis paper yang akan dipublikasikan. This work will explain how to make an Internet of Things (IoT) system on household devices. This paper focuses more on making the IoT system that controls television. The method of controlling this is by creating an online-based TV remote application, using the ESP8266 NodeMCU microcontroller hardware to transmit Infrared signals to the television ,like what commercial TV remotes do in general. In this work, the authors also explain how to use the Google Firebase database and create android applications based on the Flutter framework, .The Applicaon used to control variabels among the Realtime database, while the microcontroler is also controling the online Real-time Database. Flutter was chosen for the application framework because it is a cross-platform framework, open source, and free to use, while Firebase was chosen as the database platform because Firebase is easy to use and easy to integrate with Flutter applications and also microcontroller devices.
Hierarchy Composition GAN for High-fidelity Image Synthesis

Despite the rapid progress of generative adversarial networks (GANs) in image synthesis in recent years, the existing image synthesis approaches work in either geometry domain or appearance domain alone which often introduces various synthesis artifacts. This paper presents an innovative Hierarchical Composition GAN (HIC-GAN) that incorporates image synthesis in geometry and appearance domains into an end-to-end trainable network and achieves superior synthesis realism in both domains simultaneously. We design an innovative hierarchical composition mechanism that is capable of learning realistic composition geometry and handling occlusions while multiple foreground objects are involved in image composition. In addition, we introduce a novel attention mask mechanism that guides to adapt the appearance of foreground objects which also helps to provide better training reference for learning in geometry domain. Extensive experiments on scene text image synthesis, portrait editing and indoor rendering tasks show that the proposed HIC-GAN achieves superior synthesis performance qualitatively and quantitatively.
Generating Large Cats with Nine Lives: Long-Lived Macroscopic Schr\"{o}dinger Cat States in Atomic Ensembles

We propose to create and stabilize long-lived macroscopic quantum superposition states in atomic ensembles. We show that using a fully quantum parametric amplifier can cause the simultaneous decay of two atoms, and in turn create stabilized atomic Schr\{o}dinger cat states. Remarkably, even with modest parameters these atomic cat states can have an extremely long lifetime, up to \emph{four orders of magnitude} longer than that of intracavity photonic cat states under the same parameter conditions, reaching \emph{tens of milliseconds}. This lifetime of atomic cat states is ultimately limited to \emph{several seconds} by extremely weak spin relaxation and thermal noise. Our work opens up a new way towards the long-standing goal of engineering large-size and long-lived cat states, with immediate interests both in fundamental studies and noise-immune quantum information processing.
Cycle Generative Adversarial Networks Algorithm With Style Transfer For Image Generation.

The biggest challenge faced by a Machine Learning Engineer is the lack of data they have, especially for 2-dimensional images. The image is processed to be trained into a Machine Learning model so that it can recognize patterns in the data and provide predictions. This research is intended to create a solution using the Cycle Generative Adversarial Networks (GANs) algorithm in overcoming the problem of lack of data. Then use Style Transfer to be able to generate a new image based on the given style. Based on the results of testing the resulting model has been carried out several improvements, previously the loss value of the photo generator: 3.1267, monet style generator: 3.2026, photo discriminator: 0.6325, and monet style discriminator: 0.6931 to photo generator: 2.3792, monet style generator: 2.7291, photo discriminator: 0.5956, and monet style discriminator: 0.4940. It is hoped that the research will make the application of this solution useful in the fields of Education, Arts, Information Technology, Medicine, Astronomy, Automotive and other important fields.
Dough flattening machine increase the performance of the onion chips artisan

Onion chips are foods made from a dough of flour, water and other ingredients that can be easily found in various places, but are generally made manually. Dough making is an activity that requires the longest time and greatly determines the quality of the resulting onion chips. Crafters need a long time, great effort and complaints of pain in several parts of the body due to this activity. This service activity provides a dough sheeting tool to facilitate the work of craftsmen and reduce activity time. The quality of the onion chips produced is getting better and craftsmen are also free from complaints of muscle pain.
An Analysis Educational Guidelines of Mathematics Education Provision for Primary School from High Score Countries on Timss 2015

The objectives of this research were 1) to study effects of student characteristic variables and educational institution characteristic variables on the quality assessment of mathematics study management at primary school of countries achieving high test scores, i.e.Singapore, South Korea, and the Hong Kong Special Administrative Region and 2) to compare similarities and differences of student characteristic variables and educational institution characteristic variables on the quality assessment of mathematics study management in Singapore, South Korea, and the Hong Kong Special Administrative Region.The data used in this research are secondary data from the 2015 Trends in International Mathematics and Science Study (TIMSS).The data were collected from 4,669 students across 100 schools in the Republic of Korea, 6,517 students across 100 schools in Singapore and 3,600 students across 100 schools in Hong Kong.The three steps taken for data analysis are as follows -1) To analyze descriptive statistics 2) To estimate the ability of students from the assessment of their mathematics proficiency using IRTPRO program; 3) To analyze variables affecting student and school with Hierarchical Linear Modeling (HLM) and two levels of analysis.The findings from the study revealed that 1.The proportion of all variances explained for variables or coefficient of prediction (R 2 ) indicated Singapore's coefficient of prediction at a student level was 0.2750 (27.50%) and at a school level was 0.7250 (72.50%).Republic of Korea's coefficient of prediction at a student level was 0.2183 (21.83%) and at an school level was 0.6288 (62.88%), the Hong Kong Special Administrative Region's coefficient of prediction at a student level was 0.1477 (14.77%) and at a school level was 0.4482 (44.82%).2. Multi-level analysis of student-level variables found that 7 variables affecting the quality of mathematics study management.Namely, 3 countries had 2 variables, 2 countries had 4 variables, and 1 country had 1 variable.As for multi-level analysis of educational-level variables, it was found that 5 variables affecting the quality of mathematics study management.Namely, 2 countries had 1 variable and 1 country had 4 variables.
The Possibility of Resource Scheduling for a Collaborative Cloud Computing Using Failure Workflow Control in IAAS Cloud

Cloud computing is a pledge that the implementation of low-cost workflow processes has become a prototype computing infrastructure that you supply resources.Despite the need for scientific workflows and access to community-level resources, they usually require a collaborative cloud environment that creates multiple data centers.Combining Artificial Bee Colony algorithm (ABC), and Hybrid Genetic Algorithm (HGA) geographically dispersed data center inputs and intermediate data sets can cause unbearable waiting periods that interrupt the execution of the addresses.Large-scale data-intensive scientific workflows and cloud workflow execution cost.In the proposed system, Failure-Aware Workflow Control Resource Scheduling (FAWCRS) is understanding the Importance and Simulation of FAWCRS Content Natures to Monitor the Importance of Diversity Analyze test results on the impact of tracking diversity.Failure traces and defect detection and reduction of average completion time to accurately achieve predictable accuracy, lost time, and an incorrect number of rearrangements.It effectively improves the availability, reliability, and quality of intermediate data in the Scientific Workflow.Solve this system planning problem on infrastructure on a Service (IaaS) platform.A collaborative planning algorithm is officially an efficient algorithm to reduce processing time all workflows within its deadline, ultimately reducing the time at each job processing.Describing the date and associated performance in the typical workflow in the simulation process is one of the best performance-related algorithms.
The Characteristics of Human Behavior and the Types of Their Manifestation from the Perspective of Content Reframing

The study of the characteristics of human behaviors from the perspective of content reframing provides information about the ability to understand human behavior and the formation of constructive relationship skills. The significance we give to an event depends especially on the frame of reference we use to form our inner map of that event. The technique of content reframing addresses those behaviors that seem to get out of conscious control and helps people to change their limited and limiting views, outdated or inappropriate to the context, in order to gain a deeper understanding of their own life and reality and to identify new opportunities, solutions and possible objectives. For this purpose, a clear distinction is made between the person, his behavior and the intent behind this behavior. Therefore, the possession of the skills of understanding human behavior is absolutely necessary for a future specialist.
MUTIMEDIA SOFTWARE AND TECHNOLOGIES IN EDUCATION

This article discusses the need for multimedia software and how to use its technologies to create interactive e-learning courses based on multimedia technologies.
IMPROVING STUDENTS’ READING COMPREHENSION BY USING MULTI PASS STRATEGY ON NARRATIVE TEXT AT TENTH GRADE OF SMK START UP DARA JINGGA

Reading comprehension becomes a problem in learning English for the tenth-grade students of SMK Start-Up Dara Jingga since they have low achievement in reading comprehension. This research aims at improving students' skills in reading comprehension by using Multipass Strategy. It is conducted by using classroom action research which contains planning, action, observation, and reflection. Subjects of this research were students of the tenth-grade of SMK Start Up Data Jingga. The class consisted of 16 students; 7 boys and 9 girls. Then, the data of this research were quantitative and qualitative. The quantitative data were gained from scores of students of the reading task and test in every cycle. Meanwhile, the qualitative data were collected through the result of observation. The finding of the research from cycle 1 up to cycle 2 shows that Multiple Strategy enables to improve students’ skill in reading comprehension. In cycle 1, the students' score increases to 87.5 %. Furthermore, the increase of the quantitative data was supported by qualitative data, such as classroom activity, teaching, strategy, and teachers. It can be said that multipass strategy can be used to improve the students' skills in reading comprehension especially at tenth-grade students of SMK Start-Up Dara Jingga.
Synthetic Arabic handwritten CAPTCHA

Differentiating between humans and bots has become a critical issue of websites' security. Therefore, a completely automated public Turing test to tell computers and humans apart (CAPTCHA) is a test to limit the ability of cyber attackers trying to scale their activities using automated bots. Several Latin-based CAPTCHAs, which are widely used, have been broken, while Arabic script and handwritten text have inherent characteristics that have been proven to be beneficial for cybersecurity. Accordingly, we proposed a method for using Arabic handwritten text to generate infinite CAPTCHA challenges. In order to assess the proposed CAPTCHA generator, experimental studies were conducted. The results show a gap between machine and human recognition abilities while using Arabic handwritten script.
ÇİFTLİKLERDE YETİŞTİRİLECEK UYGUN BALIK TÜRLERİNİN BELİRLENMESİNE YÖNELİK BİR KARAR DESTEK SİSTEMİ

Fishery industry is one of the main sources of income and most important subsectors for national economies. Nevertheless, natural fish sources have unfortunately diminished recently and not every fish species can be grown in every region due to some reasons. Moreover, many countries have limited resources to meet the need for fish. Therefore, aquaculture comes into prominence to eliminate these problems. However, taking right decisions and selecting the right fish breeds become crucial for fish farming. In this context, the aim of this study is to develop a Decision Support System (DSS) with intent to enable decision makers to determine most suitable fish species according to the features of their farms easily. The system was built based on Classification and Regression Trees algorithm, one of the data mining techniques. Sixty-two breeds of fish and thirteen factors affecting their growth was studied to create a database. The results show that the suggested DSS functions successfully in terms of not only determining appropriate and profitable fish species but also using existing resources more efficiently. It is expected that foreign trade volume will be increased with the raising productivity and; hence, countries will create new business branches which will have reflections in employment figures in the long run.
The Formation and Evaluation of the Faulted Topography in the Burdur Basin, Lakes Region, SW Anatolia

The Burdur Basin, which is located in the Lakes Region in SW Anatolia, was formed by vertical faulting movements.The erosion surfaces were developed on the marl deposit in accordance with the lowering of the base level in each faulting movement in the east of the Burdur Basin.These erosion surfaces are at an elevation of 980, 995, 1040, 1115, 1200, 1300-1340 m on the Neogene marl deposit and knickpoints along the valleys indicate six times depressed along the fault lines of the Burdur Basin.The fault scarp extending on the east of the Burdur Basin was dissected deeply as a triangular facet; the accumulation of materials that had been transported from the highlands led to the formation of dejection fans, cones and re-deposited marl deposit in the eastern part of the Lake Burdur Basin.Earthquakes have occurred frequently since historical times and the subsidence that has taken place in the deeper part of Lake Burdur has attained a depth of more than 70 m in the southern part of the lake which may indicate continued tectonic activity.Lake Burdur, which is the remnant of Neogene Lake, containing some heavy minerals supports the life of only one species of fish and poor flora and fauna.
Defeasibility applied to Forrester’s paradox

Deontic logic is a logic often used to formalise scenarios in the legal domain. Within the legal domain there are many exceptions and conflicting obligations. This motivates the enrichment of deontic logic with not only the notion of defeasibility, which allows for reasoning about exceptions, but a stronger notion of typicality that is based on defeasibility. KLM-style defeasible reasoning is a logic system that employs defeasibility while Propositional Typicality Logic (PTL) is a logic that does the same for the notion of typicality. Deontic paradoxes are often used to examine logic systems as the paradoxes provide undesirable results even if the scenarios seem intuitive. Forrester’s paradox is one of the most famous of these paradoxes. This paper shows that KLM-style defeasible reasoning and PTL can be used to represent and reason with Forrester’s paradox in such a way as to block undesirable conclusions without completely sacrificing desirable deontic properties.