Reviewerly/exHarmony huggingface dataset:
Sistem Transitivitas Dalam Teks Pidato Pelantikan Presiden Republik Indonesia Joko Widodo

The study aims to determine the transitivity system in the Inaugural Speech of the President of the Republic of Indonesia Joko Widodo. Transitivity studies relate to grammatical elements that can be used to reveal participants involved in an event. This research uses a qualitative approach. The data source of this research was obtained from the President Joko Widodo's Inauguration Speech Text for the 2014-2019 period which was downloaded through the site www.youtube.com. The theory used is the Functional Systemic Linguistic Theory (LSF) proposed by Halliday (1985). The method and data collection technique used is the method of referring to the note taking technique. The method of presenting the results of the analysis of the data used is a general method for applying the presentation of all forms of speech in research in the form of descriptions of words, phrases, groups of phrases, clauses, and texts. The results showed that the types of processes contained in the research data were material, mental, verbal, relational, and behavioral processes. Each process labels its participants. Circumstan which is present in this research data is in the form of time and situation circumferences.
Edmodo and Chamilo Media in Know-Want-Learned Strategy to Teach Reading Comprehension of Recount Texts to Students with Different Reading Habits

This research is based on the phenomena that the students often find difficulties in comprehending English texts, especially in recount texts. This research aims at investigating the effectiveness of Edmodo and Chamilo media in Know-Want-Learned strategy to teach reading comprehension of recount texts to students with good and poor reading habits. An experimental research with 2x2 factorial design was applied in this study. The samples of this research were the students of X TKJ 1 and X TKJ 2 of SMKN 1 Sragi Pekalongan. Observation, questionnaires, and tests were the instruments of the research. T-test and ANOVA were the data analysing methods. The research findings revealed that firstly Edmodo media in Know-Want-Learned (KWL) strategy was effective to teach reading comprehension of recount texts to students with good and poor reading habits. Secondly, Chamilo media in Know-Want-Learned (KWL) strategy was also effective to teach reading comprehension of recount texts to students with good and poor reading habits. Thirdly, there was no significant difference on the effect of Edmodo and Chamilo media to teach reading comprehension of recount texts to students with good reading habit. On the contrary, there was significant difference on the effect of Edmodo and Chamilo media to teach reading comprehension of recount texts to students with poor reading habit. Finally, there was no effective interaction among Edmodo and Chamilo media, reading strategy, studentsâ€™ reading habits, and studentsâ€™ reading comprehension of recount texts.
THE USE OF WEB-BASED EXAM (WBE) TO OPTIMIZE STUDENTS TESTING RESULT

Some basic problems found during the test occurred in mid and final test using the conventional testing system are the students tend to do cheating, the sleepy supervisors, the inconsistency of test time, and the risk of losing the answer sheet. To overcome those problems, the researcher applies a concept called web-based exam system which uses three main tools to run the system. First, it uses teacher’s laptop as the server; second, the teacher makes the questions using the software (web-based exam software) in his own laptop; third, it uses access point to communicate the server and the user (students’ laptop). From the result of the research, it can be seen that this system can overcome the problems found in conventional testing system and it needed no paper.
SISTEM INFORMASI PENGGAJIAN KARYAWAN PT.LIONG EMAS ABADI PERKASA

The application program "Employee Payroll Information System of PT. Liong Emas Abadi Perkasa" aims to help the payroll system at PT. Liong Emas Abadi Perkasa from manual to computerized. This application program uses the Rapid Application Development (RAD) method which is carried out in several stages, namely the Initial Investigation, Make Prototype, the testing phase, the implementation phase and the maintenance phase. This application program uses several design tools, namely Flowcharts, Data Flow Diagrams, Entity Relationship Diagrams, Context Diagrams and Relationships Between Tables. This application program uses MySQL as a database, XAMPP as a link between the database and display, PHP as a programming language and display settings application Testing this application uses the Black box testing method and User Acceptance Test (UAT). Based on the trials conducted it can be concluded that the program created can be run and can help users in the company's payroll.
PERBANDINGAN KINERJA ALGORITMA NAÏVE BAYES DAN C4.5 UNTUK MENDETEKSI PENGELABUAN UNIFORM RESOURCE LOCATOR (PHISHING URL)

Nowadays, phone or smartphone and internet are something that cannot be separated with human. One of negative effects of using internet is cyber crime like a phishing url. Phishing url is usually used to collecting personal information like pin number, credit card etc. There are many type of classification algorithm, two of them is Naïve Bayes and C4.5. Both of the alogithm is good for recognizing a phishing url. This website created are used to classify a unkown url with Naïve Bayes and C4.5 algorithm. The accuracy of C4.5 algorithm is 87.11% and 78.48% for Naïve Bayes. The average time needed to processing one url is 21.78 second for C4.5 and 23.31 second for Naïve Bayes.
Fine-tuning Deep Neural Networks by Interactively Refining the 2D Latent Space of Ambiguous Images

Deep neural networks (DNNs) have achieved excellent results currently in classification, while they may still suffer from ambiguous images which are similar across classes. By contrast, humans have a relatively good ability to distinguish these categories of images. Therefore, we propose a human-in-the-loop solution to assist the network to better classify the images by leveraging human knowledge. To achieve this, we project the high-dimensional latent space trained by the network onto a two-dimensional workspace. The users can interactively modify the projected coordinates of inputs on the workspace using our designed tools, then the modified information will be fed back to the network to fine-tune it, which in turn affects the network's classification results, thereby improving the accuracy of network classification.
A Trial of Modularization Teaching in Postgraduates Academic English Reading and Writing

Double questionnaires have been conducted among 459 postgraduates of Grade 2020 in a second-tier university in china, with the first one analyzing students' fundamental levels of English and their practical needs for academic English.After the collection of No. 1 questionnaire, a modularization course is tailored to meet the learners' real demands for academic English at the postgraduate level including basics for English writing, academic English reading as well as academic English writing practice.Then the second questionnaire is carried out to evaluate students' satisfaction with the modularization teaching, which apparently renders the first-hand feedback to ensure proper adaptation for future teaching.
Brain-Inspired Domain-Incremental Adaptive Detection for Autonomous Driving

Most existing methods for unsupervised domain adaptation (UDA) only involve two domains, i.e., source domain and the target domain. However, such trained adaptive models have poor performance when applied to a new domain without learning. Moreover, using UDA methods to adapt from the source domain to the new domains will lead to catastrophic forgetting of the previous target domain. To handle these issues, inspired by the ability to balance the maintenance of old knowledge and learning new knowledge of the human brain, in this article, we propose a new incremental learning framework for domain-incremental cases, which can harmonize the memorability and discriminability of the existing and the novel domains. By this means, the model can imitate the learning process of the human brain and, thus, improve its adaptability. To evaluate the effectiveness of the proposed methods, we conduct two groups of experiments, including virtual-to-real and diverse-weather cases. The experimental results demonstrate that our approach can avoid catastrophic forgetting, mitigate performance degradation in the previous domains, and improve the object detection accuracy of the novel target domain significantly.
Factors that influence the compliance of medical record filling by nurses in inpatient of Regional General hospital Dr. H. Moch. Ansari Saleh Banjarmasin

The hospital is one of the health service facilities that have an important role in improving the health status of the community.At the minimum hospital service standard, medical records are included in the category of health information quality, which is one of the parameters to determine the quality of health services in hospitals is data or information from good and complete medical records.The problem that often arises in illing out medical records in inpatient installations is incomplete illing, this situation will have an impact on internal and external hospitals, because the results of data processing are the basis for making reports.The purpose of this study was to analyze the factors that inluence compliance with medical record illing by inpatient ward nurses, especially in relation to gender, education level, age, years of service, and employment status.The method used in this research is quantitative research, with an analytical observational research design through a Cross Sectional approach.The number of samples in this study were 104 respondents with the sampling technique using the proportion random sampling method.The results of this study indicate that there is a relationship between education level (p = 0,018), age (p = 0,020), and years of service (p = 0,002) on compliance with medical record illing by inpatient nurses.And there is no relationship between gender (p = 0,479) and employment status (p = 0,230) on compliance with illing out medical records by inpatient nurses.The dominant factor related to compliance in illing out medical records by inpatient nurses was the level of education (p = 0,018).The dominant factor related to illing out medical records by inpatient nurses is the level of education.
Sistem Informasi Pengolahan Surat Masuk Dan Keluar Berbasis Website Pada SD Negeri 3 Sesetan Denpasar

Mail management is a tangled thread that becomes the main problem in a company or organization. The information contained in the letter is an essential part of maintaining the confidentiality of data. Maintaining the integrity of the data becomes an essence that must be resolved in an organized manner so that incoming letters can be structured in a structured way and make it easier to search for these letters in the future. In general, the processing of incoming and outgoing mail is grouped and managed by similar grouping documents. The mail processing process still uses a number system or an agenda book, so document archiving is not optimal and less efficient in mail processing. To makes letters more organized, an information system is needed that can record and store the process of receiving letters. Using information systems directly can shorten searching for letters and storing notes in a more well-structured manner. The grouping of letters using the classification model of the decision tree algorithm can organize letters into specific groups. The set aims to speed up searching for correspondence information and the grouping to be more well structured. This study aims to build a mail processing information system. The system built can manage incoming and outgoing mail data. The research conducted in building this system is qualitative research by observing the research object.
A CONTENT ANALYSIS OF STUDENTS’ ENGLISH TEXTBOOK IN CURRICULUM 2013

The objective of this research was to analyse the content of students textbook in junior high school at seventh grade based on curriculum 2013. This study aimed to analyse whether the content in the students’ textbook When English Rings the Bell in focus for seventh grade Junior High School are appropriate with the content standard of curriculum K13 or not. In this research, the researcher used document analysis. This document analysis used library research without observing the certain phenomenon directly. The data was taken from the content in the English textbook used in Junior High School at eighth grade students. To collecting the data, the writer used documentary method. For analysing data, the writer presented the content of the English textbook and analyse the content of the English textbook focusing on the grammar aspects. The finding showed that the contents were focussed on certain grammar for junior high school at seventh grade students. The biggest part is Simple Past Tense. It showed that the content of the English textbook for seventh grade Junior High School are appropriate with the content standard of curriculum K13.
Pendapat Guru Pasca Pelatihan Learning Management System Berbasis Video Menggunakan Moodlecloud

The purpose of this article is to discuss the opinions of teachers after training in online learning based on video tutorials using Moodlecloud held in Payakumbuh. Respondents consisted of 20 teachers who were members of Musyawarah Guru Mata Pelajaran (MGMP) of the Natural Sciences. The questionnaire used was a learning style questionnaire consisting of 24 statements regarding Visual, Auditory, and Kinesthetic(VAK) learning styles; and a teacher's opinion questionnaire regarding training consisting of 24 statements regarding the training conducted. The results of the study in terms of learning styles show that over 79 percent of teachers have a visual learning style, making it suitable for learning to use video. While in terms of opinions about the training process, it can be concluded that the teacher stated that the training carried out was interesting, practical, fun, had more value, and was not difficult to apply.
Secure wireless system based on reconfigurable devices for human biomedical parameters monitoring

Over the last decade the continuous improvements in sensor technologies, connected with recent hardware reconfigurable devices evolution, enable engineers to merge sensors and reconfigurable devices to develop new applications or to improve the existing ones. The miniaturization and integration of multiple sensors in one chip and the increase of precision, stability and power efficiency allow sensors to play an even more important role in medical technology with the main objective of building more accurate and smaller devices that help medical personal to monitor human biomedical parameters. This paper describes a secured wireless system design and implementation. The proposed system consists in one or more wearable sensor nodes that measure human biomedical parameters and then sends the collected data to a base station in order to be analyzed by qualified personal. This system can be used to monitor patient state-of-health or to supervise military personal in training or even in battles, because the new system uses secured transmission. The typical monitored parameters are body temperature, blood oxygen level, heart rate, respiratory rate, movement and position of the subject, but it can be extended and more other different sensors such as cameras or microphones can be added. Reconfigurable devices are used to process data in both sensor node and base station in an innovative environment. Keywords: biomedical parameters, reconfigurable devices, sensor nodes, wireless.
Employ spiral model analysis and design tool to optimize software written in Java

The spiral model is one of the models used in software development. This model was used in the analysis, design and construction of the tool (JCOT), where the tool replaces some of the sentences written in JAVA in other sentences that match the work but at the time of implementation less. The tool also displays the shortness of the time in a longitudinal and chromatic strip for ease of user recognition. The spiral model proved its effectiveness. Each case of optimization was treated as a link and then the other state was transferred to the end of the tool. This enabled the researcher to easily add new cases of the tool (JCOT).
Need Analysis for Development of a Cube and Beam Volume Assessment Instrument in Macromedia Flash Based Elementary Mathematics Learning

The background of this study was that teacher has difficulty in overseeing the evaluation net, so that the potential for collaboration among students in evaluating was discovered, and the instruments used by teachers were still using classical assessment instruments. The purpose of this study was to determine the form of assessment instruments used by teachers in conducting evaluations, and to find out whether teachers need a Macromedia Flash-based research instrument handbook in evaluating learning. The sample used in the study was saturated or non-probability sampling where the sample was taken from SDN Bangetayu Wetan 02 class 5, the method used was quantitative and qualitative techniques, quantitative was used to calculate needs analysis and qualitative was used to collect data from samples, Data collection techniques used were using tests and non-tests where tests used cognitive assessment sheets and non-tests using data triangulation through collecting data, observations, interviews and documentation studies, the tools used were observation sheets, interview sheets, and documentation studies. The results obtained from the analysis of the needs of the cube and beam volume assessment instruments in learning Macromedia Flash based elementary school mathematics through the calculation of validity obtained Mean Square 0.956 and declared valid, as well as through the reliability test ebel obtained 0.414 so that it was declared reliable, so the needs analysis was declared valid and reliablethe development of cube and beam volume instruments in Macromedia Flash-based elementary mathematics learning is urgently needed. Manfat for the community is the community will better understand how important the use of Macromedia Flash application technology in the world of education, while for science to help overcome problems in the field of assessment.
Towards Plug'n Play Task-Level Autonomy for Robotics Using POMDPs and Generative Models

To enable robots to achieve high level objectives, engineers typically write scripts that apply existing specialized skills, such as navigation, object detection and manipulation to achieve these goals.Writing good scripts is challenging since they must intelligently balance the inherent stochasticity of a physical robot's actions and sensors, and the limited information it has.In principle, AI planning can be used to address this challenge and generate good behavior policies automatically.But this requires passing three hurdles.First, the AI must understand each skill's impact on the world.Second, we must bridge the gap between the more abstract level at which we understand what a skill does and the low-level state variables used within its code.Third, much integration effort is required to tie together all components.We describe an approach for integrating robot skills into a working autonomous robot controller that schedules its skills to achieve a specified task and carries four key advantages.1) Our Generative Skill Documentation Language (GSDL) makes code documentation simpler, compact, and more expressive using ideas from probabilistic programming languages.2) An expressive abstraction mapping (AM) bridges the gap between low-level robot code and the abstract AI planning model.3) Any properly documented skill can be used by the controller without any additional programming effort, providing a Plug'n Play experience.4) A POMDP solver schedules skill execution while properly balancing partial observability, stochastic behavior, and noisy sensing.
JOKR: Joint Keypoint Representation for Unsupervised Video Retargeting

Abstract In unsupervised video retargeting, content is transferred from one video to another while preserving the original appearance and style, without any additional annotations. While this challenge has seen substantial advancements through the use of deep neural networks, current methods struggle when the source and target videos are of shapes that are different in limb lengths or other body proportions. In this work, we consider this task for the case of objects of different shapes and appearances, that consist of similar skeleton connectivity and depict similar motion. We introduce JOKR—a JOint Keypoint Representation that captures the geometry common to both videos, while being disentangled from their unique styles. Our model first extracts unsupervised keypoints from the given videos. From this representation, two decoders reconstruct geometry and appearance, one for each of the input sequences. By employing an affine‐invariant domain confusion term over the keypoints bottleneck, we enforce the unsupervised keypoint representations of both videos to be indistinguishable. This encourages the aforementioned disentanglement between motion and appearance, mapping similar poses from both domains to the same representation. This allows yielding a sequence with the appearance and style of one video, but the content of the other. Our applicability is demonstrated through challenging video pairs compared to state‐of‐the‐art methods. Furthermore, we demonstrate that this geometry‐driven representation enables intuitive control, such as temporal coherence and manual pose editing. Videos can be viewed in the supplement HTML.
The Need for a Meta-Architecture for Robot Autonomy

Long-term autonomy of robotic systems implicitly requires dependable platforms that are able to naturally handle hardware and software faults, problems in behaviors, or lack of knowledge.Modelbased dependable platforms additionally require the application of rigorous methodologies during the system development, including the use of correct-by-construction techniques to implement robot behaviors.As the level of autonomy in robots increases, so do the cost of offering guarantees about the dependability of the system.Certifiable dependability of autonomous robots, we argue, can benefit from formal models of the integration of several cognitive functions, knowledge processing, reasoning, and meta-reasoning.Here, we put forward the case for a generative model of cognitive architectures for autonomous robotic agents that subscribes to the principles of model-based engineering and certifiable dependability, autonomic computing, and knowledge-enabled robotics.
Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content

In this work, we consider the problem of procedural content generation for video game levels. Prior approaches have relied on evolutionary search (ES) methods capable of gener- ating diverse levels, but this generation procedure is slow, which is problematic in real-time settings. Reinforcement learning (RL) has also been proposed to tackle the same problem, and while level generation is fast, training time can be prohibitively expensive. We propose a framework to tackle the procedural content generation problem that combines the best of ES and RL. In particular, our approach first uses ES to generate a sequence of levels evolved over time, and then uses behaviour cloning to distil these levels into a policy, which can then be queried to produce new levels quickly. We apply our approach to a maze game and Super Mario Bros, with our results indicating that our approach does in fact decrease the time required for level generation, especially when an increasing number of valid levels are required.