Reviewerly/exHarmony huggingface dataset:
Implementation of the Max-Miner algorithm for product recommendations in Café Lo Aja

Café Lo Aja is a company that sells food and drinks. The business process carried out by this company is buying goods from suppliers and selling products to customers. Sales transaction data will produce heaps of data that get bigger and bigger, so that it can cause new problems. The purpose of this research is to make an application to process a sales transaction data so that it can produce information about consumer purchasing patterns which will be used to help the Cafe Lo Aja to make business decisions. This study uses Cafe Lo Aja sales transaction data in 2019 with the Data Mining Market Basket Analysis method and the Max-Miner Algorithm. This research produces data which is an association rule from a collection of sales transaction data. So that by knowing the pattern of purchasing these products, the cafe manager can predict future market needs that can take into account what stock items must be reproduced and what items should be reduced because of the small percentage of interested ones. By knowing the results of the association, the manager can adjust the layout of the product menu to be better because products that are often purchased will be placed close together. Suggested application development that can be done in further research is the system can be developed into a mobile application, so consumers can order products on their smartphone devices.
PSYCHOLOGICAL RISKS OF INFORMATION OVERLOAD AMONG SMARTPHONE USERS

Conference proceedings are devoted to the development of modern science under global changes. General issues of the engineering, medical, psychological, philological, economic sciences, history of art, social communications and so on are considered. The publication is designed for scientists, lecturers, postgraduate students, students, as well as for the general readers. International Scientific Conference Development of Modern Science Under Global Changes: Conference Proceedings, 22th May, 2020. Riga, Latvia: Baltija Publishing. 104 pages.
PENGARUH HERITAGE NARRATIVE TERHADAP PEMAHAMAN MEMBACA SISWA KELAS VIII SMP TELEKOMUNIKASI PEKANBARU

ABSTRACT: This quasi-experimental research aimed to find out whether there is an effect of heritage narrative on reading comprehension of second year students of SMP Telekomunikasi Pekanbaru. This research was a nonequivalent (pretest and posttest) control-group design. In this design, there two groups as the participant (experimental and control group). Heritage narrative was applied in teaching the experimental group while the control group was taught by using narrative from other culture. The population of this research was all students of second year students in academic year of 2017/2018. The total number of population was 71. The sample is chosen by using cluster random sampling. In analyzing data, the writer used the quantitative approach. The results of the data analysis showed that the mean scores of pre-test were 44.86 (experimental group) and 43.47 (control group). The mean score of students after the treatment was higher than pre-test. Moreover, from the statistical analysis, it was found out the t-test (4.75) was higher than t-table (2.01) at the significance level 5%. It can be concluded that there was effect of heritage narrative on students ’reading comprehension.
TIPOGRAFI KINETIK PADA JUDUL FILM PEMENANG FFI KATEGORI ANIMASI TAHUN 2013-2018

Kinetic typography is widely applied to media such as Film Title,Television Program Title, presentation media, motion graphic media,and others. Motion design elements added to the kinetic typographydesign can strengthen the character of letters, strengthen themeaning of the message, give more emphasis and intonation, andadd aesthetic value. This article explores the analysis of the use ofkinetic typography in 6 (six) research samples of the winners of theAnimation Category of Indonesia Film Festival - FFI (2013 - 2018).The study was conducted referring to the temporal typographicclassification model developed by Barbara Brownie (2007). Wherein general kinetic typography is divided into two types, namely Typein Motion and Fluid Typography. Type in Motion itself is dividedinto Scrolling Typography and Dynamic Layout. The researchmethod used is descriptive qualitative. This research was identifyingand describing the use of kinetic typography types in the film title. Asa result, 2 (two) samples have not used kinetic typography optimally(F2 and F4), 2 (two) samples use Scrolling Typography (F1 and F3),1 (one) sample uses Fluid Typography (F5), and 1 (one) sample usesDynamic Layout (F6).
Analysis of Internet of Things: IoT in human life

The digital universe emerged focusing replication of veritable universe with the enhancement of facilities and convenience including the beauty as same as the real universe. Numerous attempts were made to observe, detect and feel the universe with the practice of sensors and many equipment. To bring this digital universe to precision, it requires knowledge about the electronic equipment or device, simultaneous scrutiny techniques, communication procedures as well as the position or location of the equipment or device. The IoT which stands for Internet of Things is an enthusiastic universal network comprising internet linked things or equipment, for instance, sensors which highly sensitive and beneficial for tenuous applications, smart devices which affect for huge moderation of human life and actuators, etc. IoT technologies aids to connect things or objects which are located around a wider extent. Ubiquitous computing, communication, and robotics raised with different technical developments during the significant years in the past and even in present, along with the flow of IoT paradigm. This paper is based on IoT and evaluation of the information provided about the revolution of IoT. Further, different IoT applications specifically in the health sector, characteristics of IoT, issues and benefits of IoT and at last future of IoT.
THE ROLE OF MEDIAPSYCHOLOGY IN FORMING THE CONTENTS OF MODERN MEDIA

In today's society, the media is the main room where not only the media landscape but also the contemporary agenda for the general public is constructed, since media are not only the main source of information on the functioning of modern society, its problems, achievements, victories and defeats, but also the means of communication regarding the development and resolution of those challenges that arise in this society.It is the media landscape formed by means of modern technologies and creative content which determines the dominant tendencies in public perception of socially significant problems, formulation and formation of public opinion on broadcast issues.Notably the dominance of perception that necessitates understanding such a significant element of media science as mediapsychology and the power that its tools are conferred to create influential content not to bypass potential recipients.Understanding that media psychology can describe the behavioral features of an individual driven by the influence of the means of individual and mass communication on their emotions, it can be argued that modern content is not only able to stimulate an individual to certain actions, but also to keep them in continuous active state corresponding to the required problem.After consuming information through the media specific emotions arise, among which fear (sometimes desirable), empathy, humor, as well as the opportunity to identify with the media character by implementing his preferences, views, tastes in audience's everyday life.Thus, modern mass media actively use parosocial relationships not only in their own interests, but also in favor of manipulation, to meet the needs of the powerful.So in this article we have tried to consider not only the emotional component of the content transmitted in the media, but also offer the ways to promote counteracting information and emotional overload, withstanding unwanted and excessive communication, forming the ability to make socially significant decisions under the time pressure.
USING OF INTELLECTUAL MAPS AT THE LESSONS OF MATHEMATICS AT GENERAL SECONDARY EDUCATION INSTITUTIONS

Conference proceedings are devoted to the development of modern science under global changes. General issues of the engineering, medical, psychological, philological, economic sciences, history of art, social communications and so on are considered. The publication is designed for scientists, lecturers, postgraduate students, students, as well as for the general readers. International Scientific Conference Development of Modern Science Under Global Changes: Conference Proceedings, 22th May, 2020. Riga, Latvia: Baltija Publishing. 104 pages.
Complaints Recording System with Responsive Web at STMIK Atma Luhur

The IT Departement of STMIK Atma Luhur's (BSI) currently serves complaints related to IT on campus by using Whatsapp group.This is less effective and efficient because it makes the process of complaints recording from a department in a certain time becomes difficult.Website-based complaints recording system with responsive design will be built to solve these problems.The display of responsive web can change according to device that accesses it, so that the user experience when accesses it with mobile device will be same as the one who accesses it with desktop.System development model, method, and tools used in this research are prototyping model, object-oriented method, and Unified Modeling Language (UML), respectively.The built system can be used by employees, lecturers, or students to register accounts, fill complaints, and view it responses by BSI.In addition, BSI can manage data
The Extent to Which Mobile Learning is Employed in the Educational Process in Jordanian Government Schools from the Teachers' Perspective

The study aimed to identify the extent of mobile learning employment in the educational process in Jordanian government schools from the teachers' perspective. To achieve the aim of the study, the descriptive approach was utilized where a questionnaire consisting of three domains (cognition, skill, and evaluation) was developed with (20) paragraphs. The paragraphs validity and reliability were established, then the questionnaire was distributed to the study sample that consisted of (360) teachers in Jordanian government schools.The results of the study showed that the extent of mobile learning employment in the educational process from the perspective of Jordanian government school teachers appeared with a low degree, with an arithmetic mean of (1.79). The results further showed a statistically significant difference in the evaluations of the study sample individuals for the authenticity of employing mobile learning in the educational process according to the perspective of Jordanian government school teachers according to the gender and attributed to the males, and on all dimensions, in addition to the presence of statistically significant differences according to the educational qualification and attributed to higher studies, at the macro level of the tool and on the cognition and skill domains.In light of the study results, the researcher recommended that the Ministry of Education should offer more specialized training courses and workshops in the field of teaching technology and mobile learning and recommend teachers to apply them in the educational process. Furthermore, it is required to spread awareness among teachers and students about the advantages of utilizing mobile learning and modern technology in learning. Keywords: mobile learning, educational process. DOI: 10.7176/RHSS/10-12-07 Publication date: June 30th 2020
The Impact of Two-Way Dialogue Strategy On Speaking Ability for Eleventh Grade Students of SMA Harapan 1 Medan

This research was proposed to gain whether there is a meaningful influence of applying a two-way dialogue on students' speaking ability. The research method was an experimental analysis in a quantitative approach. The sample of this research was eleventh-grade students of SMA Harapan 1 Medan which consisted of 60 students divided into two classes, the experimental and the control classes as representation consisting of 30 students in each class. Experimental group was taught using two-way dialogue strategy, while control group was taught conventional strategy. Data was gained using pre-test and post-test. A pre-test was administered to both groups before treatment and a post-test was administered after treatment. Then, the instrument applied to gather data was oral test in the design of short dialogue. To examine data, the researcher employed t-test. The result of the study was thatthe lowest the score of pre-test in experimental group was 69 and the highest score was 90. the lowest score of post-test was 75 and the highest score was 90. Futhermore, for control group, the lowest score of pre-test was 60 and the highest score was 80. while the lowest score of post-test was 65 and the highest score was 85. It means that two-way dialogue strategy had significantly influenced students' speaking ability.
Outdoor &amp; Indoor Quadrotor Mission

The last few years Quadrotor became an important topic, many researches have implemented and tested concerning that topic. Quadrotor also called an unmanned Aerial Vehicle (UAV), it's highly used in many applications like security, civil applications, aid, rescue and a lot of other applications. It’s not a conventional helicopter because of small size, low cost and the ability of vertical and takeoff landing (VTOL). The models kept an eye on quadrotors were presented, the advancement of this new kind of air vehicle is hindered for a very long while because of different reasons, for example, mechanical multifaceted nature, enormous size and weight, and challenges in charge particularly. Just as of late a lot of interests and endeavors have been pulled in on it; a quadrotor has even become a progressively discretionary vehicle for useful application. Quadrotor can be used in variable, different , outdoor and indoor missions; these missions should be implemented with high value of accuracy and quality. In this work two scenarios suggested for different two missions. First mission the quadrotor will be used to reach different goals in the simulated city for different places during one flight using path following algorithm. The second mission will be an indoor arrival mission, during that mission quadrotor will avoid obstacles by using only Pure pursuit algorithm (PPA). To show the benefit of using the new strategy it will compare with a victor field histogram algorithm (VFH) which is used widely in robotics for avoiding obstacles, the comparison will be in terms of reaching time and distance of reaching the goal. The Gazebo Simulator (GS) is used to visualize the movement of the quadrotor. The gazebo has another preferred position it helps to show the motion development of the quadrotor without managing the mathematical model of the quadrotor. The Robotic Operating System (ROS) is used to transfer the data between the MATLAB Simulink program and the Gazebo Simulator. The diversion results show that, the proposed mission techniques win to drive the quarter on the perfect route similarly at the limit with regards to the quadrotor to go without hitting any obstacle in the perfect way.
AI for Software Quality Assurance Blue Sky Ideas Talk

Modern software systems are highly complex and often have multiple dependencies on external parts such as other processes or services. This poses new challenges and exacerbate existing challenges in different aspects of software Quality Assurance (QA) including testing, debugging and repair. The goal of this talk is to present a novel AI paradigm for software QA (AI4QA). A quality assessment AI agent uses machine-learning techniques to predict where coding errors are likely to occur. Then a test generation AI agent considers the error predictions to direct automated test generation. Then a test execution AI agent executes tests, that are passed to the root-cause analysis AI agent, which applies automatic debugging algorithms. The candidate root causes are passed to a code repair AI agent that tries to create a patch for correcting the isolated error.
Maternal Fetal Simulator

In this study it is presented the implementation of a low-cost automated prototype, in an open code platform, that simulates maternal fetal signals, allowing test executions and fetal detectors. The goal is guaranteeing the use of these equipments in a safe, effective way in the monitoring of maternal fetal signals in hospital environments, since the simulator is used to evaluate the correct use of the equipment. Another possible application of the simulator is as a teaching tool. The results are demonstrated in a man-machine interface, the views of the measurements of fetal movement, uterine activity and fetal heart rate, generated by the simulator. The values demonstrated in the man-machine interface can be compared with the ones presented by the fetal monitor. With this comparison it is possible to check the correct functioning of the equipment tested.
A Study on Cyber Forensics

In the recent years, the use of internet and information technology across the globe has been increased tremendously.The opportunity to use the internet is huge and unconditional.Therefore, the criminal activities in the cyber world is increased in greater scale.Cyber forensics is an emerging research area that applies cyber crime investigation and analysis techniques to detect these crimes and prove the same with digital evidence in court.In this paper we have used the terms cyber, computer and digital forensics interchangeably and how cyber forensics play a key role in investigating a cybercrime.
Valuable attitude - an important component of education content personalities

proverki znaniy i programmirovannoye obucheniye.[Test technique for testing knowledge and programmed training].Moskva.
Improving Self-Confidence of the Third Grade Students of Sman 15 Makassar to Speak English Through English Contest Technique (ECT)

The objective of this research is to find out English Contest Technique in improving the self-confidence of the third grade students to speak English.In this research, the researcher uses pre-experimental method.The total sample was 42 students and it used cluster sampling technique.The results showed that the students' mean scores in pre-test of the first cycle was 5.29 and the mean score of the second cycle was 6.62.Based on the data above, the researcher concluded that the use of English Contest Technique can improve the third grade students' self-confidence in speaking English.
Planning Against Adversary in Zero-Sum Games: Heuristics for Selecting and Ordering Critical Actions

Effective and efficient reasoning in adversarial environments is important for many real-world applications ranging from cybersecurity to military operations. Deliberative reasoning techniques, such as Automated Planning, often restrict to static environments where only an agent can make changes by its actions. On the other hand, such techniques are effective and can generate non-trivial solutions. To explicitly reason in environments with an active adversary such as zero-sum games, the game-theoretic framework such as the Double Oracle algorithm can be leveraged. In this paper, we leverage the notions of critical and adversary actions, where critical actions should be applied before the adversary ones. We propose heuristics that provide a guidance for planners about what (critical) actions and in which order have to be applied in a good plan. We empirically evaluate our approach in terms of quality of generated strategies (by leveraging Double Oracle) and CPU time required to generated such strategies.
VELOSX: Projectile Motion Visualization Application with Augmented Reality

&lt;p&gt;In learning projectile motion and its velocity, students tend to look up a plain two-dimensional image in a science book. While there’s some educational props, yet they usually a very tradional ones and can not be used for real calculation. The utilization of Augmented Reality (AR) in educational method may raise curiosity and gives a unique way in learning projectile motion as the motion can be seen in a three dimensional. Augmented Reality itself is a combination of real world and virtual objects. This application uses the Vuforia SDK that able to blend the real world and virtual objects. Through this application, we were able to simulate projectile motion and its velocity in more realistic way, have slightly interaction with the reality, and gets input from user so they can learn and see the result of the parameter that they entered. Thus, with the advantage of AR the application gives a more realistic feel compared to the existing ones available in public as it could receive any input and show the output in AR. &lt;/p&gt;
Topology-Invariant Synthesis

To narrow the inherent gap between heterogeneous face domains, much efforts have been made in the past decade. Some of these solutions resort to deep generative networks to synthesize proper face images based on inputs from another domain. It is widely agreed that facial topology tends to be closely related to identity information, since facial appearance has been deemed as a crucial feature for identifying individuals. A small topological change on the face may make one person become another. Taking makeup removal as an example, the synthesized output is expected to resemble the input except for the makeup effects, and the facial topology is premier to be preserved during synthesis. We generalize this kind of problem as topology-invariant facial synthesis. In this chapter, we select several representative topology-invariant synthesis tasks and elaborate their latest progress. These tasks include cross-spectral face hallucination, makeup removal and age progression/regression. For each task, we start from its background and characteristics, followed by the illustration of latest methods as well as their experimental outcomes.
A study on suggestion of predicates using the clustering of item names for making RDF of Open Data

近年，世界的にオープンデータへの関心が高まりつつある．オープンデータの活用が推進され，国や地方自治体をはじめ多くの団体がオープンデータの公開，活用に取り組んでいる．鹿児島市で2016年7月にオープンデータがCSV等公開されている．地方自治体のオープンデータは，データ形式・フォーマットの違いにより開示されても積極的な活用まで至っていないのが現状ではある．本研究では，RDFに焦点を当てて，述語の語彙共通化を行うため，オープンデータの項目名をクラスタリングし，割り当てられたカテゴリを教師信号として入力し，深層学習を行い，述語のサジェストを提案する．また，述語のサジェストの結果を示した.