Reviewerly/exHarmony huggingface dataset:
Particle Swarm Optimization Based C4.5 for Teacher Performance Classification

The role of teachers on management of learning to meet the standards of determined competence, is one of key to success.An integrated Islāmic school has a unique standard of teacher competence, there are soft competencies and hard competencies.This research has to get better of classification algorithm to find the pattern of linkage between soft competencies and teacher performance assessed based on hard competencies aspect.The algorithm used is C4.5 algorithm with attribute selection using particle swarm optimization (PSO).The results showed that C4.5 algorithm with PSO resulted accuracy 79.70% with kappa value of 0.528 and 0.19 (enough class).The soft competencies attribute has the highest influence on teacher performance is achievement orientation.From the result of accuracy and kappa, can be concluded that in classification data of teacher for performance aspect and soft competencies.The dominant factor that influence teacher performance base on soft competencies is achievement orientation, then conseptual thinking and concenrn for order, communication and organizational commitment.
Voice Interaction System for Race Games

With the advancement of the computer technology, there are now various kinds of computer games, especially race games (RAC). However, there are still many issues in race games. The first problem is that the interactivity is not fully-fledged. Information can only be input to the computers by manipulators without any feedback from the computers. The second problem is that players cannot pay attention to the information about the road conditions while they are driving. The main reason is that the monitor is usually too small to show the 3-D(three-dimensional) scenes of the game and it is hard for players to notice the road conditions. In order to figure out these problems, we designed a voice interaction system to improve the game experience.&#x0D; In the future, this technique will have a bright prospect. On one hand, this invention can be applied to VR games which will be one of the most popular research directions. While on the other hand, this invention can also be applied to automatic drive which will definitely change people’s daily life.
Digital Cultural Heritage and Wikimedia Commons Licenses:

Cultural heritage institutions can contribute to public knowledge and increase awareness of their collections by uploading digital objects to Wikimedia Commons for use on Wikipedia and other Wikimedia Foundation projects. However, prior research has established the difficulty of and/or hesitation by many cultural heritage institutions in clearly and accurately labeling the copyright status of their born-digital and digitized collections. With this knowledge, how likely is it that digital cultural heritage will be findable and usable on Wikimedia Commons? This study seeks to determine how accurate rights statements for cultural heritage objects on Wikimedia Commons are, and whether inaccuracies can be linked to problematic rights statements in cultural heritage digital libraries or whether the inaccuracies stem from Wikimedia Commons. By evaluating the rights statements, licenses, and sources for 308 Wikimedia Commons objects from 57 cultural heritage organizations and comparing that information to corresponding licenses from digital libraries, we can begin to develop best practices and educational needs for digital librarians, archives, museum curators, and Wikipedians alike to improve the user experience for those using digital cultural heritage on Wikimedia projects.&#x0D;
On the system CB1 and a lattice of the paraconsistent calculi

In this paper, we present a calculus of paraconsistent logic. We propose an axiomatisation and a semantics for the calculus, and prove several important meta-theorems. The calculus, denoted as CB1, is an extension of systems PI, C min and B1, and a proper subsystem of Sette’s calculus P1. We also investigate the generalization of CB1 to the hierarchy of related calculi.
Pengaruh Parenting yang Baik dan Storytelling terhadap Kemampuan Berkomunikasi Bahasa Inggris

The research aims to analyze and to test the hypothesis reliability regarding to the effect of parenting and storytelling on students' communication skill.The hypotheses are: 1) there is a significant effect of parenting and storytelling in communicating English, 2) there is a significant effect of parenting in communicating English, 3) there is a significant effect of storytelling in communicating English.The research employs experimental method.The population is students of Private Middle School in Depok.The samples are 50 students, 25 students in the experimental class and 25 students in the control class chosen by simple random sampling.The research instruments are oral communication tests in the form of interviews and questionnaires.Data analysis uses two-way Analysis of Varians (ANOVA).The hypothesis tests result as follows: 1) there is a significant effect of parenting and storytelling on students' English communication skills with the value of Sig.= 0,000 <0,05 and Fh = 9,466, 2) there is a significant effect of parenting on students' English communication skills with the value of Sig.= 0.018 < 0.05 and Th value = 2.454, 3) there is a significant effect of storytelling on students' English communication skills with the value of Sig.= 0.014 < 0.05 and the value of th = 2.564.
Automatic Examining of Software Architectures on Mobile Applications Codebases

Mobile applications have grown to become complex software systems and some of the most used pieces of software by end users all around the world. With the increase in their complexity, software architecture has become an important topic and a pressure point in their development lifecycle. The purpose of this work is to define an automatic method for extracting and examining the software architecture of mobile applications by leveraging the use of Software Development Kits (SDKs) and Artificial Intelligence algorithms. The proposed system is used for finding architectural issues on the analysed codebase early in the development phase and provides insightful information for both software developers, architects as well as for the management team.
Penerapan Sistem Informasi Akuntansi Pada Pondok Pesantren Di Kota Madiun

Accountancy Information System is a system made by human beings consists of components in an organization to accomplish a goal, e.g. presenting information. Therefore, employing information system in pondok pesantren is absolutely necessary. Besides for adding efficiency and effectiveness of financial operational in pesantren, it also helps presenting aiding progress report given. Information resulted by Accountancy Information System holds an essential role. It can be used to monitoring, controlling medium, and managing all activity and financial operational activity of pondok pesantren in order to be running well. This study has general objective, e.g. understanding how good system for pesantren is. While specific objective of this study is understanding design of accountancy information system of Madiun City Boarding School. This study employs descriptive-qualitative approach that aims to describe object of research by collecting data. Data are collected through observation, interview, and documentation. Analysis of this study includes analysis on organizational structure, analysis of document used, and analysis of procedure implemented.
A Greedy Method for Constructing Minimal Multiconlitron

Multiconlitron is a general theoretical framework for constructing piecewise linear classifier. However, it contains a relatively large number of linear functions, resulting in complicated model structure and poor generalization ability. Learning to prune redundant or excessive components may be a very necessary progression. We propose a novel greedy method, i.e., greedy support multiconlitron algorithm (GreSMA) to simplify the multiconlitron. In GreSMA, a procedure of greedy selection is first used. It generates the initial linear boundaries, each of which can separate maximum number of training samples under the current iteration. In this way, a minimal set of decision functions is established. In the second stage of GreSMA, a procedure of boundary adjustment is designed to retrain the classification boundary between convex hulls of local subsets, instead of individual samples. Thus, the adjusted boundary will fit the data more closely. Experiments on both synthetic and real-world datasets show that GreSMA can produce minimal multiconlitron with better performance. It meets the criteria of “Occam’s razor”, since simpler model can help prevent over-fitting and improve the generalization ability. More significantly, the proposed method does not contain parameters that depend on the datasets or make assumptions of the underlying statistical distributions of the samples. Therefore, it should be regarded as an attractive advancement of piecewise linear learning in the general framework of multiconlitron.
Differentiated curriculum in the third millennium in-between intellectual capital and knowledge economy

If lack of knowledge creates fear, possessing knowledge creates courage.Therefore, all educational institutions not only have to promote but upward develop knowledge via navigating and (re)formulating it in order to keep pace with the goal of education in the 3rd Millennium awakening the intellectual repertoire inside all of us, creating new conditions and capabilities for discovering the unknown and having the ability to practice knowledgedeparting from the past, making full use of what is available and orienting for the future.Knowledge has no value unless it is practiced in all aspects of life in order to provide an added value to the human power.Therefore, investment in knowledge -whether producing, using, or sharing itconstitutes some sort of knowledge economy of immense benefits based on the intellectual capital.Such processes cannot be carried out, but by a differentiated curriculum compromising with various educational programs and varied, different learning contexts, considering individual differences, providing varied contents of deep and differentiated cognitive rules, and finding rich, varied and well-organized interdisciplinary relations aiming at removing the ceiling over what is learnable.The differentiated curriculum will, therefore, cement the relationship between the intellectual capital and knowledge economy in an era that is characterized by many challenges and needs many skills.
Interactive Patients’ Digital Interface: A Shari’ah Compliant Model: Patient Care System PACSYSTM

A fully integrated bedside solution helps to engage and entertain patients, making their stay in hospital more comfortable and supporting smoother day-to-day hospital running, enhancing efficiency, enabling faster recovery and supporting optimal clinical workflow for healthcare providers. PACSYS™ designed by Medic IG Infotech Sdn Bhd, a subsidiary of Medic IG Holdings Sdn Bhd, is an interactive bedside solution that delivers a wide range of TV channels, an extensive on-demand video library, internet connectivity and a reliable Shari’ah Complia nt solution. It is the most comprehensive and interactive hospital media system available on the market today. Our partnership with Telekom Malaysia makes our hospital interactive Shari’ah Compliant solution second to none. Designed for the healthcare environment, PACSYS™ not only meets patients’ entertainment and communication needs, but also provides extensive opportunities for hospitals to engage further through our range of powerful Patient Engageme nt and Clinical Solutions. Providing patients with access to entertainment can be extremely useful in keeping patients distracted, calm, and rested, and in the best possible condition to respond to treatment. Due to the Shari’ah Compliant Hospital requirement, the access to entertainment is being filtered through Salam Web Technologies™ which provides the filtering process in denying access to view non Halal websites. PACSYS™ was designed with the hospital environment in mind, providing patients with a wide range of multi-media services to keep them entertained and in touch with the outside world and delivers a selection of popular TV channels. PACSYS™ gives clinicians secure, direct access to the hospital information system at the point of care, POC. Clinicians use POC to view medical records, order and verify medication, and share patient scans and test results—right at the bedside. Patients have access to educational materials, satisfaction surveys and other helpful tools through PACSYS™. Medical staff can access videos, audio files, and documents to educate patients on Shari’ah related matters example prayer (solat), fasting and other Islamic knowledge and practices. Hospitals can prompt participation in patient surveys to collect real-time, actionable information on satisfaction scores.International Journal of Human and Health Sciences Supplementary Issue: 2019 Page: 18
PENERAPAN DATAMINING DENGAN METODE KLASIFIKASI UNTUK STRATEGI PENJUALAN PRODUK DI UD.SELAMAT SELULAR

In the current era of globalization, developments in various fields of business are accelerating. Both in the culinary field and other fields. One of the most sought after business developments is in the field of counters or credit sales. UD.Selamat Selular was founded in 2010, which only has a small shop with no employees to date which has more than 20 employees. This business continues to develop in ever-increasing business competition. Therefore a sales strategy is needed so that it is not inferior to other trading businesses. In this research, it is necessary to test the previous data in order to find out the right sales strategy using Naïve Bayes. The data collection method was conducted by questionnaire and interview with a questionnaire of 160 respondents. From the results of this study it can be concluded that the model formed using the Naïve Bayes algorithm produces an algorithm of 0.650 so that it is classified as Excellent Classification.Keywords: Datamining, Naïve Bayes, Sales Strategy.
MEASURES AND REQUIREMENTS TO PROTECTED WEB APPLICATIONS

The article discusses requirements for protected web-based applications and measures to ensure the availability, confidentiality and integrity of data being processed and stored. The most dangerous threats of web applications according to OWASP are analyzed. The most optimal and necessary measures and requirements for ensuring security of web applications were selected.
Performance Analysis Of Star Schema Data Modeling On Library Data

Lybrary information system whose data began to be organized from 2013 to the present, has recorded 5,477,618 library collections consisting of books, magazines, journals, CDs and so on. While the number of lending transactions continues to grow each year, although the development is not yet significant, it is recorded at around 3% every day. To help the process of analyzing library data patterns, a web-based system has been created using OLAP (Online Analytical Process) technology, with multidimensional data-based data modeling. To prove the simplicity of multidimensional data-based design, access time and join efficiency, in this study the selected data modeling is a star schema. The test results show that the star schema performance in library data is influenced by the amount of data, the cleaning process and the number of joins.
A Comparative Study on Automatic Model and Hyper-Parameter Selection in Classifier Ensembles

This work performs an empirical study on Automated Machine Learning (Auto-ML) systems for automatically selecting the best Classifier Ensembles and their hyper-parameter settings or by only selecting the hyper-parameter of a predetermined Classifier Ensemble. In order to perform this analyses, we compared the two selection strategies using the Auto-WEKA system with two bio-inspired algorithms (Genetic and Particle Swarm Optimization), aiming to determine which of these strategies generate more accurate Classifier Ensembles, given a time constraint. We used 15 classification datasets for evaluating the performance of the aforementioned strategies in selecting Classifier Ensembles (e.g., Random Forest, Bagging, Boosting and Vote) and their hyper-parameter. In order to conduct a more robust analysis of the results, we applied statistical tests. Our findings indicate the use of hyper-parameter selection applied to Random Forest might generate more accurate systems compared to model and hyper-parameters selection.
The Correction of the Grammatical Case Endings Errors in Arabic Language

Syntax plays a key role in natural language processing, but it does not always occupy an important position in applications.The main objective of this article is to solve the problem of the grammatical case ending errors produced by Arabic learners or certain common errors.Arabic can be considered more complex than English or French.He does not have vowels; diacritic signs (vowels) are placed above or below the letters.These diacritic signs are abandoned in most Arabic texts.This induces both grammatical and lexical ambiguities in Arabic.The present paper describes an automatic correction of this type of errors using "Stanford Parser" with an ontology containing the rules of the Arabic language.We segment the text into sentences, then we extract the annotations of each word with the syntactic relations coming from our parser, then we treat the relations obtained with our ontology.Finally, we compare the original sentence with the corrected one in order to detect the error.The implemented system achieved a total detection of about 94%.It is concluded that the approach is clearly promising by observing the results as compared to the limited number of available Arabic grammar checkers.
DESAIN APLIKASI TRACER STUDY BERBASIS WEB MENGGUNAKAN LARAVEL FRAMEWORK

Learning Evaluation conducted includes internal evaluations and external evaluations of learning management. One form of internal evaluation carried out is a comprehensive review of the curriculum. For this reason, one of them is by tracer study. Tracer Study is a tracking study conducted by alumni after graduation, which aims to find out the educational outcomes in the form of transitions from the world of higher education to the world of work, mastery of competencies, evaluation of learning processes and excavation of graduate sociobiographies. However, the availability of study data is incomplete and difficult to obtain. Some of what has been done is to use social media, e-mail and by distributing cover letters in the form of questionnaires to alumni manually. For this reason, it is necessary to develop a tracer study application with a website using Laravel Framework which has advantages, namely with MVC (model view controller) using a software approach that separates logic and presentation applications so that the time used in developing this application becomes faster.
Determination of Sample Size and Observation Units

The purpose of this study was to write programs to define sampling sizes and observation units by probability sampling methods and to provide an idea for software developers. The algorithms of the programs were written in Python 3. The programs may be run by double-clicking on the Windows operating system or by the command prompt of the DOS operating system. Each exe file has a memory space of 5 megabits on average. In this respect, the application files are very useful in terms of sharing by email and mobility by USB memory sticks.
IMPLEMENTASI DATAMINING PADA KASUS TENAGA LISTRIK YANG DIBANGKITKAN BERDASARKAN PROVINSI

Indonesia is one of the most vital electric energy users. The development of the world of technology and information in its use does not escape from access to electricity. This study discusses the Implementation of Datamining in the Case of Electric Power Generated by Province. The increasing need for electricity usage from time to time has never escaped the attention and auspices of the government. The data source in this study was accessed from the official website of the Indonesian government, namely the Central Statistics Agency (http://www.bps.go.id). The data used in this study are data from 2011-2017 which consists of 33 provinces in Indonesia. In the analysis of this study using 3 (three) cluster levels, namely the first high level cluster (C1), the second moderate level cluster (C2) and the third low level cluster (C3). So that the final results of the analysis of the case study of Electric Power Generating by Province obtained new data and information, namely the high cluster province of 2 provinces namely East Java and Banten, the medium cluster province of 4 provinces namely North Sumatra, South Sumatra, West Java and Central Java while low cluster provinces as much as 27 in other provinces. The results of the analysis of this study can be used as input for the government and the State Electricity Company (PLN), in order to make the province of the highest cluster category a top priority in increasing the growth of power plants as well as being more interactive in the utilization of electricity effectively and efficiently.Keywords: Data Mining, K-Means, Clustering, Energy, Electric Power, Province
Block Cipher in the Ideal Cipher Model: A Dedicated Permutation Modeled as a Black-Box Public Random Permutation

Designing a secure construction has always been a fascinating area for the researchers in the field of symmetric key cryptography. This research aimed to make contributions to the design of secure block cipher in the ideal cipher model whose underlying primitive is a family of n − b i t to n − b i t random permutations indexed by secret key. Our target construction of a secure block ciphers denoted as E [ s ] is built on a simple XOR operation and two block cipher invocations, under the assumptions that the block cipher in use is a pseudorandom permutation. One out of these two block cipher invocations produce a subkey that is derived from the secret key. It has been accepted that at least two block cipher invocations with XOR operations are required to achieve beyond birthday bound security. In this paper, we investigated the E [ s ] instances with the advanced proof technique and efficient block cipher constructions that bypass the birthday-bound up to 2 n provable security was achieved. Our study provided new insights to the block cipher that is beyond birthday bound security.