Reviewerly/exHarmony huggingface dataset:
Rekonstruksi dan Implementasi Sistem Informasi Praktek Kerja Lapangan AMIK Ibrahimy

AMIK Ibrahimy has fieldwork courses every semester 4. This course is conducted to support the value of students and also becomes a requirement to participate in the Final Project. This practice is carried out by distributing participants to practices to several agencies determined by the committee. After that, the committee will also schedule an exam for the participants. However, in carrying out the field work practices, the committee needs a long time in the registration process to assess, this occurs because there is no specific information system designed according to the SOP that can help the committee. Based on some of the problems experienced, then to help minimize these problems, it is necessary to design a Reconstruction Information System Field Work in the hope that it can help expedite processing in the process of practices that have been quite time-consuming. This system is made using the waterfall method with several steps carried out starting from the Requirement to Maintenance. The results of this study are expected to help facilitate the process of fieldwork. The test results show that the system reconstruction results are in accordance with the requirements and can help minimize the problems that occur.
Sensor-enabled Functional-Mobility Assessment: An Exploratory Investigation

The population of adults aged 65 years and older is expected to double by 2050. Healthcare systems must adapt to in order to manage the care of this increasing population. Older adults with complex care needs require a significant amount of additional support from caregivers. To maintain, and possibly improve, their quality of life, it is ideal that they receive this support while continuing to live in their own homes. Recent advances in sensing technologies offer the ability to recognize and collect multiple different types of data around a person's movement and physical ability. This data can subsequently be analyzed in order to inform a person's functional-mobility assessment. In this paper, we present an exploratory feasibility study around the use of Microsoft Kinect™ and KINVENT's K-FORCE plates for the purpose of assessing balance skills. Our results indicate that the analysis of data streams from these two sensors can effectively lead us towards a portable and adaptable gesture-evaluation system.
Research Methodology for the Interaction between Civil Society Institutes and Authorities (By the Example of Student Self-Government)

researCh methodology for the interaCtion Between CiVil soCiety institutes and authorities (By the
MOBILE TECHNOLOGY AS A POCKET EDUCATIONAL TOOL IN HIGHER EDUCATION

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 4839-4843ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1204Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
EVALUATION OF THE IMPLEMENTATION OF THE STRATEGY OF PROBLEM-BASED LEARNING (PBL) IN DIGESTIVE SYSTEM PHYSIOLOGY TEACHING

EVALUATION OF THE IMPLEMENTATION OF THE STRATEGY OF PROBLEM-BASED LEARNING (PBL) IN DIGESTIVE SYSTEM PHYSIOLOGY TEACHING
MBMN: Multivariate Bernoulli Mixture Network for News Emotion Analysis

In the text classification task, besides the text features, labels are also crucial to the final classification performance, which have not been considered in most existing works. In the context of emotions, labels are correlated and some of them can coexist. Such label features and label dependencies as auxiliary text information can be helpful for text classification. In this paper, we propose a Multivariate Bernoulli Mixture Network (MBMN) to learn a text representation as well as a label representation. Specifically, it generates the text representation with a simple convolutional neural network, and learns a mixture of multivariate Bernoulli distribution which can model the label distribution as well as label dependencies. The labels can be sampled from the distribution and further used to generate a label representation. With both text representation and label representation, MBMN can achieve better classification performance. Experiments show the effectiveness of the proposed method against competitive alternatives on two public datasets.
Experimental Implementation of Distributed Time-Varying Optimization Algorithms Using Crazyflie Platform

Author(s): Zhang, Yifan | Advisor(s): Ren, Wei | Abstract: Formation control and trajectory following using distributed optimization algorithms is validated in this thesis. The crazyflie platform is used for validating the algorithms. Then the implementations on different algorithms and different numbers of robots take place. Firstly, distributed optimization algorithm with general time-varying cost functions is implemented to make the crazyflies follow a line trajectory in a square formation. Then another distributed optimization algorithm with time-varying cost functions and nonidentical hessian is used to get the crazeflies follow a circle trajectory in a square formation. After achieving relatively high accuracy of implementation of the two distributed optimization algorithms, a target tracking task is performed to prove the feasibility of the algorithms. In all, this thesis explores a new way for distributed optimization algorithms on multi-agent systems such as UAVs.
The Development System of Linguistic Experience on The Debate Text of Presidential Candidate of The Republic of Indonesia 2014 – 2019

The presidential candidate debate text development system is a sort of linguistic experience elements reflecting the speaker's way of thinking related to the policies of the nation and state. The text development might indicate the policy intended by a presidential candidate to build the nation and state. Based upon this, there are three factors behind the selection of this topic to research; namely, empirical, practical, and theoretical factors. This study is conducted aimed at describing various issues concerning the development of the linguistic experience of the two presidential candidates in improving the national and international welfare and international politics-national resilience. Systemic Functional Linguistic (SFL) theory initiated by Halliday (1985,1991, 2004, 2014) is used as the grounded theory in this study. This study employs qualitative descriptive approach with linguistic phenomenological paradigm. Various data types analyzed in this study include words, phrases, clauses, group phrases, and text units. The data use taken from the recorded of audio-visual Candidate Debate Text (CDT) in stage I and II. The research instruments used in this study are text validation tables and contexts. Along with some advanced techniques, documentation and observation were conducted to collect the data. Meanwhile, in processing the data collected, this study passed several stages; namely, data classification, segmentation, and codification. To analyze the data processed, this study employed several stages namely reduction, presentation, and verification. The results of this study show that Prabowo Subianto (PS) tended to use dynamic linear text development pattern, whereas Joko Widodo (JW) tended to use a constant linear text development pattern.
Sistem Penunjang Keputusan Penerima Kartu Indonesia Pintar Menggunakan Metode Simple Additive Weighting (SAW)

Education is very important given the Government programs which require a minimum of 9 years of education, but many societies among medium size down unable to finance the education of their sons and daughters to 9 years. Indonesia Smart program is one of a national program that aims to increase the number of elementary and secondary education participation, increase sustainability education marked with menurunya numbers dropouts, as well as improving secondary education students readiness to enter the job market or proceed to higher education.In this research will be made a decision support system (SPK) to facilitate in the selection criteria for the Smart Card recipient Indonesia students who deserve help, the method used in this research is the Simple Additive Weighting (SAW), this method was chosen because it can determine the value weights for each attribute, and then do the perangkingan process will determine the alternatives to get more accurate results are eligible to receive smart cards help indonesia .By applying the method of Simple Additive Weighting (SAW) hope to provide ease in taking decisions which are appropriate and accurate.
DESIGN AND DEVELOPMENT MULTIMEDIA LEARNING’S PHYSICS 1

The development of Newton's Law of Motion courseware multimedia is based on the problem analysis from the diagnostic test students enrolled in the course of Physics 1. This courseware is developed based on the ASSURE model by using computer equipment and authoring software: Macromedia Authorware 7.0, Macromedia Flash MX 2004 and Abode Photoshop 6.5. The design of this courseware is based on Gagne’s teaching model and learning theory: Behaviorism, Cognitive, and Constructivism. The findings of the development multimedia courseware are discussed in terms of design for teaching and learning Physics 1. The study of design and development of multimedia courseware is important in order to improve the effectiveness of teaching and learning processes as well as to increase the collection of multimedia learning materials.
WRF (Weather Research and Forecasting) model and radiative methods for cloud top height retrieval along the EUSO-SPB1 trajectory

The Extreme Universe Space Observatory-Super Pressure Balloon (EUSO-SPB1) is a pathfinder of the JEM-EUSO program, which aims to observe Ultra High Energy Cosmic Rays (UHECRs) from near-space.It was launched from Wanaka (New Zealand) on April 25, 2017 UTC and was terminated after twelve days of flight in the South Pacific Ocean.A good knowledge of the atmospheric conditions and cloud properties, such as the Cloud Top Height (CTH), is fundamental to correctly reconstruct the energy and geometry of air showers produced by cosmic rays passing through the atmosphere.One of the methods used to retrieve the CTH is based on Numerical Weather Prediction models.In this work, we consider in particular the Weather Research and Forecasting (WRF) model.A first model test is made on the WRF parametrizations for elementary processes, applying a top-bottom directed algorithm based on two quantities: cloud fraction and optical depth.The validated procedure is then applied to the SPB1 trajectory, retrieving the CTH every ten minutes for the days of the flight.A comparison is made with the analyzed data taken from MODerate resolution Imaging Spectroradiometer (MODIS) satellite images, once per day, to understand the reliability of the method.Another way to retrieve the CTH is the so-called radiative method, that allows to calculate the Cloud Top Temperature (CTT).A vertical temperature profile is needed to transform the CTT into CTH.When radiosoundings are not available, WRF can provide vertical temperature profiles.The conversion from the CTT to the CTH is then made.
Implementasi Metode Decision Tree Klasifikasi Data Mining Untuk Prediksi Peminatan Jurusan Robotika oleh Mahasiswa

Specialization of majors in a study program becomes something important must be an option for a student, for that they must think carefully before choosing the majors. Because later this thing can determine the success or failure of a student to understand what they learned to apply to during the final project. In the past few years there has been a question about the problem of electing majors in the Computer Technology Study Program. Because almost every year the majority of interest voters in majors are interested in computer network majors rather than robotics majors. majoring in majors, so the authors analyzed and retrieved data from 145 student samples in the electronic practicum course and chose 7 attributes in this study because this course was very influential on the interest in the robotics department in the Computer Technology study program. The author uses the classification tree Decision method to predict interest in students. Therefore, with this research, the authors hope that in the future with the results of this analysis can be found a solution to the problem of why students are more inclined to choose the interests of departments other than robotics, whether due to factors or other factors. Keywords: Computer Technology, Analysis, Classification
Result Based Manajemen Sistem untuk Monitoring dan Evaluasi Kegiatan Bimbingan Dasar Keislaman

The Islamic values in the integrated curriculum should be reflected in governance, teaching lifestyle, and society dedication. The Islamic basic mentoring activity was the routine activity in UIN SUSKA Riau. That activity had been going on since 2010 and had unoptimization through stakeholder dissatisfaction with performance output. This research has developed a model by Result based for monitoring and evaluating the activity implementation. The results of the modeling mechanism were implemented in the construction of a Result Based Management Information System prototype. This research conducted by 7 constructs with 32 indicators that had been statistically tested by Confirmatory Factor Analysis to know the significance and the relation between indicators and constructs. This model was tested descriptive statistic to measure the activity implementation performance in accordance with the expected output. The results of performance activity at the Faculty of Science Technology were at the middle level. The construction of a prototype using Object Oriented Analysis had been successfully carried out with very good results in testing the UAT and Black Box. The system had 6 actors based on the stakeholder requirements and the system was successfully monitoring and evaluating problem and activity as long as the implementation. Performance information in graphically was to help the leader and top management for making decision and policy fixing. The discussion forum was developed as sharing information platform between the leader, the manager and the lecturer, the fellow lecturer, the lecturer and the participants. Thus, the transformation and transparency in implementation activity were formed.
The relationship of envy and characteristics of objective and subjective economic well-being

The relationship between envy and the characteristics of economic well-being of the individual is an important basis for the social behavior it implements. The article studies the relationship between the envy of the individual and the characteristics of the objective and subjective economic status. The study involved 196 people (44% of men) aged M=28.6; SD=8.5. The technique used for the diagnosis of envy personality and subject areas of envy (T.V. Beskova), subjective economic well-being (V.A. Khashchenko), the scale of economic status (A.L. Zhuravlev and A.B. Kupreychenko). It is shown that the relationship of income with envy is limited to several areas — health, recreation, material wealth, professional success (negative). The lack of financial resources and the severity of negative emotional States in connection with financial and material problems are associated with envy of a large number of objects of possession of Others. As a result of structural modeling it is established that satisfaction of material needs is a mediator of connection of envy and economic anxiety and financial deprivation.
Peningkatan pembelajaran keterampilan berbicara melalui media gambar seri di kelas I

&lt;p&gt;&lt;em&gt;The&lt;/em&gt;&lt;em&gt; goal is that students are brave, accustomed to being able to speak in all functions according to proper pronunciation and intonation Data collection is carried out by tests, observations or observation sheets and other supporting instruments of research. This study uses a qualitative approach with a type of classroom action research. The research subjects were first grade students of SDN. 08 Painan District IV Jurai. Based on the results of the study, the serial image media can improve students' speaking skills with three-stage learning activities, namely: (1) initial activities, (2) core activities, and (3) final activities. The result of the first cycle of research based on the implementation of the lesson plan is 76.8% and the recapitulation of student learning assessment is 74%. The results of the second cycle research based on the implementation of lesson plans were 83.9% and the recapitulation of the assessment process and student learning outcomes was 83%. From the results of observations and recapitulation of values obtained by students, it appears that students are active in the learning process.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
A copy detection algorithm for game character concept design based on pose features

The market for electronic games is big. The infringement of game concept design copyright is one big problem. Current copy detection methods use low-level features for image content matching and are difficult to perform copy detection of game character concept design. Therefore, we propose a copy detection method based on pose features. First, basic rotation correction is performed using corner detection of the character's shoulder inflection points. The joint points of a character's pose are extracted using a bottom-up pedestrian detection network and used as pose feature vector. Then, face joint points are used to calculate a representative point using face reduction, and are described using rotation invariant local coordinate description. Finally, the similarity is calculated using confidence weight, the threshold is used to determine whether an image is a copy. The experimental results show that our detection algorithm is robust against various attacks such as rotation, scaling and replacement of color, accessories, weapon of game character concept design.
Neural Network Renormalization Group

We present a variational renormalization group (RG) approach based on a reversible generative model with hierarchical architecture. The model performs hierarchical change-of-variables transformations from the physical space to a latent space with reduced mutual information. Conversely, the neural network directly maps independent Gaussian noises to physical configurations following the inverse RG flow. The model has an exact and tractable likelihood, which allows unbiased training and direct access to the renormalized energy function of the latent variables. To train the model, we employ probability density distillation for the bare energy function of the physical problem, in which the training loss provides a variational upper bound of the physical free energy. We demonstrate practical usage of the approach by identifying mutually independent collective variables of the Ising model and performing accelerated hybrid Monte Carlo sampling in the latent space. Lastly, we comment on the connection of the present approach to the wavelet formulation of RG and the modern pursuit of information preserving RG.
Making a Difference through Effective Instructional Strategies

This article depicts the challenges of language teachers (and all teachers) in the delivery of the instruction and evaluation of the learning process. The author expressed his own views and perspectives regarding the present situations confronting language teachers and other teachers of different subjects. While technology provides the things we need in the classroom setting, there are considerable impediments teachers are facing. What could be the roles teachers in the academy have to fulfill and execute so that they can assist diverse learners? This paper discusses and explains imperative thoughts and reflections that can serve as a guide or framework for all teachers who need clear insights and sensible directions. The method used by the researcher is simply narration-description where he presented his heartfelt and life-relating experiences to the target readers and researchers. To support his claims, he intentionally inserted real-life experiences, observations, and testimonials of teachers and personnel whom he met in his academic journeys. From the thoughts of the author-researcher, it is hoped that readers would be get inspired whenever they fell down and stressed because this essay would remind all who are engaged in teaching that the one of the best professions (if not the best) in the world is being a teacher. Other careers are not possible without the caring and guiding hands of the teachers.
SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMBELIAN HANDPHONE MENGGUNAKAN METODE SAW (SIMPLE ADDITIVE WEIGHTING) STUDI KASUS PADANG CELL LUBUKLINGGAU

Abstrak&#x0D; Penelitian dengan judul “Sistem Pendukung Keputusan Untuk Pembelian Handphone Menggunakan Metode SAW (Simple Addtive Weighting) Studi Kasus Padang Cell Lubuklinggau” mempunyai tujuan untuk mengimplementasikan metode analytical hierarchy process pada sistem pendukung keputusan sebagai sarana bantu dalam pengambilan keputusan pembelian handphone.Metode pengumpulan data yang digunakan dalam penelitian ini meliputi metode kepustakaan, wawancara, angket kuesioner dan browsing internet. Sedangkan untuk perancangan sistem digunakan desain sistem meliputi penggunaan diagram konteks, data flow diagram dan flowchart.Penelitian ini dilakukan dengan cara merancang model sistem pendukung keputusan sesuai dengan data yang diperoleh. Kemudian data yang diperoleh tersebut diolah untuk menentukan sistem pendukung keputusan yang akan dibuat menggunakan macromedia dreamweaver, php dan mysql sebagai database. Selanjutnya, sistem yang telah dibuat disimulasikan untuk mendapatkan alternatif pilihan pengambilan keputusan sesuai dengan data yang diperoleh.Penelitian ini menghasilkan informasi berupa ranking atau urutan prioritas alternatif pilihan handphone, hasil dari perbandingan nilai kepentingan antara alternatif satu dengan lainnya menggunakan Sistem Simple Addtive Weighting. Hasil simulasi yang telah dilakukan didapat urutan prioritas alternatif dengan perolehan nilai prioritas yang didapatkan dari hasil penilaian.&#x0D; Kata kunci: Sistem Pendukung Keputusan, Metode SAW, Web &#x0D; ABSTRACT&#x0D; Research with the title "Decision Support System For Mobile Purchase Method Using SAW (Simple Addtive Weighting) Case Studies Padang Cell Lubuklinggau" whose purpose is to implement the method of analytical hierarchy process in decision support systems as aids in making purchasing decisions handphone.Metode data collection used in this study include methods of literature, interviews, questionnaires and internet browsing. As for the system design used the system design include the use context diagrams, data flow diagrams and flowchart.Research This is done by designing a model of decision support system in accordance with the data obtained. Then the data obtained is processed to determine a decision support system that will be created using Macromedia Dreamweaver, PHP and MySQL as a database. Furthermore, the system has been created to get the simulated alternative decision making in accordance with the data of this obtained. Research produce information in the form of ranking or order of priority alternative mobile phone, the result of a comparison of the value of interests between the alternatives with each other using the Simple Addtive Weighting System. The simulation results obtained have been done with the acquisition of alternative priority order priority values ​​obtained from the results of the assessment. &#x0D; Keyword: Decision Support System, SAW Method, Web
TYPOLOGY OF WEB APPLICATIONS FOR LEARNING

Web applications represent an important group of applications that can be used in education.Usual division of web applications is based on their function.The article deals with the distribution of web applications according to the usual type of activity performed during the teaching.It introduces a new division of such a group of applications and lists the typical representatives of this applications.