Reviewerly/exHarmony huggingface dataset:
PENGARUH PEMBELAJARAN INTERAKTIF TERHADAP HASIL BELAJAR TEMATIK SISWA KELAS V DI MI ISLAMIYAH PARENG

This study aims to determine the effect of interactive learning outcomes on classroom students V MI Islamiyah Pareng. This type of research is a quasi-experimental study using nonequivalent control group design conducted with 6 meetings.The subject of this research is class students V.The instrument used was a multiple choice test and observation to capture student learning outcomes and activities that were previously tested to determine the validity and reliability of the test.. Analysis of data using Ttest one right party. The results showed a significant increase in student learning outcomes in learning activities using interactive models
Rancang Bangun MyAKAD Apps Berbasis Android Menggunakan Algoritma Sequential Searching

The existence of the digital world has given a new impact to all human activities. Not surprisingly, if now all switch to the digital world because on the one hand can make things more efficient and practical. The purpose of this study, the author wants to develop a student data administration application that will be applied at one of the universities with an Android-based platform system. Where this design is made to perfect the limitations of applications that have previously been developed, namely the web, limitations of previous applications at the University, when users (users) access to the online academic menu in the web application, are required to deactivate pop-ups first, that is felt to be inefficient . Based on the existing problems, the author wants to design an application that will be developed on the Android platform by using a sequential searching algorithm for each program function in the application. The system development method itself uses the Waterfall methodology. This method has stages namely: Analysis, Design, Coding and Testing Data collection techniques are obtained from the results of observations (observations) and literature studies. Database as a data storage medium is MySQL. For the PHP and Java programming languages used as an application interface, the application test results are represented in the White box testing and show a valid value of the test results amounting to 6 in the total decision shows the algorithm used is quite good and meets the standard
Traits of Interval Tree in Solving Blind Search Problems of Finding a Term in an Ordered Data Set

This paper investigates the traits of the interval tree in solving the blind-searched problems of finding uninformed terms in an ordered data set.It first proves several new properties of the interval tree and then shows that applying an interval tree to express data set results in half of the objective terms lying on the bottom level while another half lying on the levels over the bottom, and a bigger probability as well as half or less than half a amount of searching steps to find an objective term in comparison to conventional search strategies.Mathematical reasoning on the new properties of the interval tree plus conclusions related with the distribution of the objective terms on the interval tree is shown in detail and searching strategy is proposed in the end.The results in this paper are helpful for designing a searching algorithm.
INDICATORS OF DEVELOPMENT OF MEDIA COMPETENCE OF SCHOOLCHILDREN AND STUDENTS

The ubiquity of information and communication technologies, the existence of a "digital culture" actualizes the need for the development of media competence of an individual. The objectives of our study were to evaluate and compare the levels of media competence of schoolchildren and students on the motivational component, which includes the motives of contact with media and media texts, the contact component as a frequency of communication with the media, information, creative, perceptual, evaluative and practical components. When conducting an empirical study, we used modified blocks of questions of A.V. Fedorov's methodology to identify the level of development of media competence and developed a number of creative tasks to measure the level of media competence on a number of its indicators. In the course of the study, the assessment and comparison of the levels of development of media competence of schoolchildren and junior students on the above indicators was carried out. Based on the results of comparison of media competence indicators, analysis of the characteristics of media consumption, respondents’ writings and essays, the reasons for choosing media resources, we have identified a completely insufficient development of critical thinking of students and schoolchildren. The obtained data served as the basis for the development of an experimental media pedagogical program for the development of students' media competence in extracurricular activities, their reflexive abilities and critical perception. Based on the results of an empirical study, we have developed a number of practical recommendations for teachers of general education schools and those working in the system of additional education and interested in the development of media competence of students.
ANALISIS PERBANDINGAN PELACAKAN OBJEK MENGGUNAKAN ALGORITMA HORN-SCHUNCK DAN LUCAS-KANADE

Object tracking one of computer vision. Computer vision similar to human eye function. The difficulty is to detect presence an object and object tracking application made. Object tracking used in aircraft, track cars, human body detectors at airports, a regulator the number of vehicles pass and navigation tools on robots. This study is to identify objects that pass in frame. This research also count the number of objects that pass in one frame. Object tracking done by comparing two algorithms namely Horn-Schunck and Lucas-Kanade. Both algorithms tested using the Source Block Parameter and Function Block Parameter. The test carried out with video resolution 120x160 and the position camera is 2-4 m. The object tracking test is conducted in the duration of 110-120 seconds. Stages tracking object was thresholding, filtering and region successfully obtain object binary video. The Lucas-Kanade has faster in identifying objects compared to the Horn-Schunck algorithm.
ANALISIS METODE CHEATING PADA TES BERSKALA BESAR

This study aimed to reveal: (1) the characteristics of items of Chemistry Test in National Examination by using the classical test theory and item response theory; (2) the amount of cheating which occured by using Angoff's B-index Method, Pair 1 Method, Pair 2 Method, Modified Error Similarity Analysis (MESA) Method, and G2 Method; (3) the methods that detect more cheating in the implementation of the Chemistry Test in National Examination for high schools in the year 2011/2012 in Maluku Province. The results of the analysis with the classical test theory approach show that 77.5% items have item difficulty functioning well, 55% items have discrimination yet qualified and 70% items have distractor that works well with the index reliability test of 0,772. The analysis using the item response theory approach shows that 14 (35%) items fit with the model, the maximum function information is 11,4069 at θ = -1,6, and the magnitude of the error of measurement is 2,296. The number of pairs who are suspected of cheating is as follows: 13 pairs according to Angoff's B-index Method, 212 pairs according to Pair 1 Method, 444 pairs according to Pair 2 Method, 7 pairs according to MESA Method, and 102 pairs according to G2 Method. The most widely detecting cheating in a row is a Pair 2, Pair 1, G2, Angoff's B-index, and MESA.
Dominate and Non-dominate Hand Prediction for Handheld Touchscreen Interaction

People have their individual preference of which hand they preferentially use to do certain things. It is not unusual to see them use mobile devices with a touchscreen one-handedly. Depending on where they are and what they do, people may use one hand over the other to hold and interact with mobile devices. Few studies have looked into the implication of using a preferred hand versus a non-preferred in touchscreen interaction on mobile devices. As the screen size increases, the difference between using a preferred hand and a non-preferred hand on the touchscreen becomes more significant. In this paper, we show how to extract features from 3 different interaction gestures on touchscreen, tap, swipe, and drag to learn if a user is using the dominant hand or the non-dominant hand. We compare the performance of using different sets of features in prediction by considering the constraints of handheld devices. A random forest-based prediction system is also created and enhanced to recognize if the user is using a preferred hand or a non-preferred hand. This technique enables the user interface of a touchscreen to adapt to which hand the user hold and interact with mobile devices.
OPINI PESERTA SELEKSI CALON APARATUR SIPIL NEGARA (ASN) TERHADAP SISTEM COMPUTER ASSISTED TEST (CAT)

The purposes of using Computerized Assisted Test (CAT) system in civil servant selection were to create transparency, objectivity, accountability and efficiency. Some of the problems formulated in this study are how the public opinion of facilities and services; transparency and purity; and the level of difficulty of the CAT system exam questions. This study aims to determine the opinion of civil servant candidates for Bandung District about facilities, transparency and difficulty level of exam questions with the CAT system. The study was conducted in the Gedung Serbaguna Telkom University Bandung Regency. The population is all civil servant candidates who take the exam by CAT system in Bandung Regency in 2018. The number of samples is 100 people. The variables studied were facilities and services; transparency and purity; exam and graduation questions. Descriptive statistical analysis was performed with the help of SPSS 24 software. The results of the study obtained an average opinion of the participants on the facilities and service variables as well as transparency and were above 3 (three). The lowest average participant opinion is an indicator of the difficulty level of the questions (average = 1.91).
OpenNIG - Open Neural Image Generator

Generative models are statistical models that learn a true underlying data distribution from samples using unsupervised learning, aiming to generate new data points with some variation. In this paper, we introduce OpenNIG (Open Neural Image Generator), an open-source neural networks toolkit for image generation. It offers the possibility to easily train, validate and test state of the art models. The framework also contains a module that enables the user to directly download and process some of the most common databases used in deep learning. OpenNIG is freely available via GitHub.
SISTEM INFORMASI AKUNTANSI PENERIMAAN DAN PENGELUARAN KAS BERBASIS MULTIUSER DI SMK PATI UNUS KARANGAWEN DEMAK

This study designed a system that is able to assist companies in calculating cash receipts and disbursements. The Accounting Information System for Cash Receipts and Expenditures will be equipped with the use of user log-ins to maintain the level of data security so that not just anyone can misuse the data. The system designed will also be equipped with security of access rights and data storage systems, providing a database using the Visual Basic 6.0 programming language that holds records of cash receipts and disbursements to be a good report, summarizing the process of moving data from ledgers to becoming cash reports flow, and can document each period's report so that it can be grouped properly. The research method used is the Borg and Gall R&amp;D research approach which consists of 10 stages, out of 10 R&amp;D stages the author only conducts the research approach to the 6th stage alone. and monitoring cash flow very well. In addition, it can also produce reports that are precise, accurate and efficient.
POSTPARTUM HEMORRHAGE MANAGEMENT

Mortality is related to pregnancy, delivery or postpartum. The efforts to reduce maternal mortality are not only known from the high coverage but also from the quality of services that emphasize the competency needs of health workers, the completeness of medicines, equipment, facilities and infrastructure in all health services. The aim of this study to conduct a scoping review to determine the effectiveness of each management of postpartum hemorrhage. Method: There were five stages used for scoping review. This Scoping review of 12 articles, obtained from 2 databases (Pubmed, Sciendirect). Critical Appraisal with Joanna Brigs. Most articles on the research method used Cohort, Case Series, Randomized Controlled Trial, Restrospective Cohort and Prospective. Result: The researchers classify the main points in five themes that appeared, those were administration of carbetocin, administration of oxytocin, administration of sublingual misoprostol, administration of balloon bakri, administration of catheter condom tamponade as the management of postpartum hemorrhage. Conclusion: Handling hemorrhage with sublingual administration of misoprostol, carbetocin and bakri balloon was a part of continuous treatment, so that changes or additions ed more on the effectiveness of postpartum hemorrhage management. Keywords: management, postpartum hemorrhage
Combining design and operational optimization of a NZEB: The Solar Decathlon China 2018 SCUTxPoliTo Prototype

Solar Decathlon competitions are a unique opportunity to advance in research and applications in the field of NZEB design.The design of a prototype in this context can be seen as a complex optimization problem, where the objective function is the final contest score to be maximized.This paper presents the application of an original simulation-based optimization approach to support the entire process from design to construction to operation of a real NZEB prototype for Solar Decathlon China 2018.It relies on the synergic use of TRNSYS ® , GenOpt ® and Matlab ® .The method resulted to be effective, leading the team to win the competition.
Semi-Supervised Cross-Modal Retrieval Based on Discriminative Comapping

Most cross-modal retrieval methods based on subspace learning just focus on learning the projection matrices that map different modalities to a common subspace and pay less attention to the retrieval task specificity and class information. To address the two limitations and make full use of unlabelled data, we propose a novel semi-supervised method for cross-modal retrieval named modal-related retrieval based on discriminative comapping (MRRDC). The projection matrices are obtained to map multimodal data into a common subspace for different tasks. In the process of projection matrix learning, a linear discriminant constraint is introduced to preserve the original class information in different modal spaces. An iterative optimization algorithm based on label propagation is presented to solve the proposed joint learning formulations. The experimental results on several datasets demonstrate the superiority of our method compared with state-of-the-art subspace methods.
Evaluation of Erythrocyte Sedimentation Rate by an Automated ESR Analyzer Assuming Manual Westergren Method as Gold Standard at S.M.S. Medical College and Hospital, Jaipur (Rajasthan)

Background: The erythrocyte sedimentation rate (ESR) is a widely used simple, inexpensive laboratory test often requested in various clinical conditions.Many automated ESR analyzers are being evolved for measuring ESR to improve efficacy.Aims and Objective: To evaluate the performance of the Automated ESR Analyzer and to assess and compare accuracy of ESR readings by Automated ESR. Material and Methods:The 425 samples from 425 consecutive eligible patients fulfilling the inclusion criteria were collected at a tertiary care center in Jaipur and data was analyzed.Results: Bland and Altman analysis revealed low degree of agreement between two methods especially for ESR values > 25 mm/hr.For all the 425 samples, the mean difference and 95% limits of agreement of both the methods were -0.49±10.09(95% limits of agreement, -10.58 to 9.60).For ESR values > 25 mm/hr, the 95% limits of agreement was -11.52 to 10.05.For ESR values ≤ 25 mm/hr the 95% limits of agreement was -4.78 to 5.17, which showed a very good agreement between both the methods. Conclusion:The Automated Analyzer tend to underestimate the Westergren method ESR values which were ≥ 25 mm/hr.The agreement for ESR value ≤ 25 mm/hr was very good.Hence a correction factor should be applied for ESR values while using Automated Analyzer especially for higher ESR values.
Kite Lutherie: Sonic Encounters around Wind-Human Collaborative Crafting

This text encapsulates the journey I embraced for my research—creation project on collaborative experimental lutherie. While pursuing my Master’s degree in Sonic Arts, I found myself deeply interested in the character and presence of the wind I was constantly stumbling upon in Belfast, Northern Ireland. By adopting the cosmoplitics approach proposed by Isabelle Stengers, read through the framework of the contemporary arts, I will evaluate the feasibility of presenting the sound making process as a collaborative platform where human and non-human actors are allowed to interact. While wondering how to establish sonic exchange mechanisms with the wind, I rediscovered the local kiting folk practices and began to study the kite using conceptual tools brought form the German media theory, particularly the work pioneered by Friedrich Kittler. It is a physical fact that the kite could not fly if either Wind or Human were missing; therefore, in that sense, I will argue that kite flying can be presented as Kulturtechnik whenever both actors find themselves affected by the result of the collaborative action. Going a step further, I will explore Kite crafting in terms of experimental Lutherie as a process in which the final “instrument” is indeed the result of wind-human sound interaction.
The Effects of Mobile Application on Acceptance, Learning Flow, Knowledge, and Study Crafting for Nursing Students

The present study was carried out to develop an application for women's health nursing and to test changes in the participants' acceptance of new technology, learning flow, knowledge, and study crafting.Data were collected between March 4 and April 15, 2019.The research subjects were 119 third-year nursing students attending one nursing school in K region.The program lasted 6 weeks.The collected data were analyzed using the SPSS Win 24 Program; general characteristics were measured using the mean, standard deviation, frequency, and percentages, while research variables were measured using a paired t-test.The results showed that the acceptance of new technology was statistically valid.Significant results were also obtained in the area of learning flow and the sub-areas of attempt-skill balance, having a clear goal, detailed feedback, behavior-perception match, concentration on tasks, sense of control, loss of self-consciousness, changed sense of time, and self-purposeful experience.The participants' knowledge increased significantly after the intervention.Significant results were also obtained in the area of academic crafting and the sub-areas of task crafting and relationship crafting.Given these research results, further study is needed on the development and applicability of new educational methods, such as applications, that can be applied to nursing students.
PENERAPAN MODEL PEMBELAJARAN LEARNING CYCLE 5E UNTUK MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS VIII SMPN 15 KOTA BENGKULU

AbstrakTujuan penelitian ini adalah untuk mengetahui bagaimana penerapan model learning cycle 5E sehingga dapat meningkatkan hasil belajar matematika siswa kelas VIII SMPN 15 Kota Bengkulu. Penelitian ini adalah Penelitian Tindakan Kelas (PTK). Penelitian dilakukan dalam tiga siklus dengan alur penelitian yaitu Perencanaan Tindakan, Pelaksanaan Tindakan, Observasi (Pengamatan), dan Refleksi. Subjek penelitian ini adalah siswa kelas VIII F SMP Negeri 15 Kota Bengkulu tahun ajaran 2017/2018 yang berjumlah 29 orang, dengan siswa laki-laki berjumlah 17 orang dan siswa perempuan berjumlah 12 orang. Pengumpulan data melalui tes hasil belajar. Berdasarkan hasil penelitian dan pembahasan, diperoleh kesimpulan bahwa model Learning Cycle 5E dapat meningkatkan hasil belajar matematika siswa. Hasil belajar siswa pada siklus I ditunjukan dengan nilai rata-rata 65,3 dengan ketuntasan belajar klasikal 48,3%. Pada siklus II, nilai rata-rata siswa adalah 71,9 dengan ketuntasan belajar klasikal sebesar 63,4%. Padasiklus III nilai rata-rata siswa adalah 79,7 dengan ketuntasan belajar klasikal sebesar 82,7%.Kata kunci : Model Pembelajaran Cycle Learning 5E, Hasil belajar matematika AbstractThe purpose of this study to knowing how the application of models of learning cycle 5E so as to improve learning outcomes math class VIII SMPN 15 Bengkulu city. This research is aclassroom action research (PTK). The study was conducted in three cycles withgrooves research is Action Planning, Implementation Measures, Observation(Observation), and Reflections. The subjects were students of class VIII F SMPNegeri 15 Bengkulu City academic year 2017/2018 which amounted to 29 people,with male students numbered 17 people and women students numbered 12 people. Data collected by result of learning. Based on the analysis results of research and discussion, we concluded that the model Learning Cycle 5E can increase the activity and results of students' mathematics learning. Student learning outcomes in the first cycle is shown by the average value of 65,3 with 48,3% classical learningcompleteness. In the second cycle, the average value was 71,9 students withclassical learning completeness amounted to 63,4%. In the third cycle students'average score was 79,7 with classical learning completeness amounted to 82,7%.Keywords : Cycle Learning 5E, Mathematics learning results
On the Automation of the Token Graphs

Let be a simple graph of order ≥ 2 and let {1,2, … , -1}.The -token graph () of is the graph whose vertices are the k-subsets of (), where two vertices are adjacent in () whenever their symmetric difference is an edge of .The generation and drawing of the token graphs of a given graph are not easy due to their high number of vertices and edges, so the study of such graphs turn out to be a very complex task without using an efficient software.In this paper, an efficient software with a userfriendly interface is presented.This software was developed in the high-level programming languages C++ and Wolfram Mathematica, and it is able to automatically generate token graphs of a given graph so that the study and the teaching of that family of graphs become easier.
Evolution of Software Quality Models from an NLP Perspective

The research question addressed in this study is to analyze the evolution of software quality models, and to investigate the similarities between the most known quality models. The models are decomposed according to their inherent structure, then are analyzed based on their subcharacteristics, at several levels. The focus of the study is on the lexical analysis of software quality models based on natural language processing, with the purpose to highlight the similarities in software quality models. In the end, the current software quality model ISO25010 is compared with all previous ones.