Reviewerly/exHarmony huggingface dataset:
APLIKASI E-LEARNING MATA PELAJARAN AQIDAH AHLAK PADA MADRASAH TSANAWIYAH MUHAMMADIYAH ISIMU GORONTALO BERBASIS ANDROID

ABSTRACTMadrasah Tsanawiyah (MTS) is a level of basic education in formal education in Indonesia which is held within 3 years. School students or madrasah students are generally 13-15 years old. Madrasah schools are a transition period from childhood to the world of adolescence. The period of MTS is a critical period for student education because at this time the transition from childhood. At present education is very much influenced by technological developments that provide a variety of conveniences so that it influences students' thinking, so schools must start working hard and pay attention to the education programs and methods used in transferring knowledge from teaching staff to students. The use of electronic circuits allows learning to be carried out in one place or in different places through distance learning. E-learning can be carried out anytime anywhere, but e-learning still has drawbacks, which requires users to deal with electronic equipment that is not flexible to move places. Mobile phones today are not only used as communication tools but can be used in finding information. One of the current operating systems that can access information very quickly and most in demand by the public today is Android. Android is an open source-based system that allows sources code (source code) on android to be read by development to customize various application features according to their usage needs. Mobile learning can be used as an alternative to solving problems in the field of education, especially the problem of equitable access to educational information, the quality of learning content in the form of learning material in the form of text or images accompanied by examples of teacher improvement questions to make or deliver learning materials and managing teaching andlearningactivities. Keywords: Madrasah Tsanawiyah (MTS), E-learning, Mobile learning, Android
Modified Lsb For Hiding Encrypted Kurdish Text Into Digital Image

Image files can hide text without their size being affected too much. This process called steganography which allows hiding text in images without any suspicions from intruders. This paper addresses an improved LSB substitution algorithm for hiding Kurdish text information written in text file into digital image as steganography technique. The algorithm consists of two main phases, the first phase holds the encryption of the Kurdish text message and the embedded technique while the second phase hold the message extraction followed by decryption to get the original code of each character. The algorithm contains many procedures to enhance this process. Least Significant Bit method is used to hide the Kurdish text, in order to keep the features and characteristics of the original image. Applying the proposed approach shows that it seems work in a best case by hiding and retrieving text from the digital image which is used as a carrier of this text. Delphi 2010 was used to simulate both encrypt-embedded phase and extract-decrypt phase, and the results were obtained with high and security which proved the efficiency of the algorithm, where the hidden Kurdish text didn’t make any distortion or change over the cover image.
PENGARUH PEMBELAJARAN MEMBACA PEMAHAMAN CERITA FANTASI DENGAN MENGGUNAKAN DISCOVERY LEARNINGTERHADAP SISWA SMP

This study aims To find out the implementation of discovery learning model in learning to read the understanding of fantasy stories in junior high school students. To know the difference of learning result read the understanding of fantasy story between experimental class in junior high school students. To know the difficulties faced by students in learning to read the understanding of fantasy story by using model discovery learning in junior high school students. Research result. Discovery learning model can improve students' ability in reading comprehension learning fantasy story. It is proven that the value of pretest and post-test using discovery learning model. Judging from the pretest results, the value obtained and because the value is not reached KKM. However, after using the discovery learning model can see the value obtained by KKM. Judging from the results on the pre-test beginning and end of the obtained values on average and 58 and 67 a nd at post-test 76 and 79.
Classical expression model of entangled quantum microwave after the measurement

Being dependent on the analysis of intrinsic correlated characteristic between the quadrature components of the entangled microwave field and the uncertainty of measurement, the authors present a classical expression model of the entangled quantum microwave after the measurement. This model describes two correlated random processes. The time-domain characteristic and quantum characteristic of the expression model are discussed, which indicate the random correlated characteristic. Results are in agreement with the generation experiment of the entangled quantum microwave, which proves the rationality. On one hand, the merit of the classical expression is intuitive, which makes it easier to understand the non-classical characteristics of the entangled quantum microwave. On the other hand, it is more convenient to investigate the performance of free-space propagation and receiver detection by classical expression.
Liver of CT Slice Localization and Segmentation Based on GPV-levelset

Motivated by the goal of improving segmentation of challenging liver cases, which always contain weak boundary with neighboring organs and the presence of intrahepatic tumors as well as highly varied appearance between different subjects, a multi-level detection segmentation framework is presented. The Gaussian pseudo-variance based on local patch is utilized to improve the level set segmentation technique, which named as Gaussian pseudo-variance level set (GPV-levelset). Our method considers the liver scale, the spatial texture, and the changes of the energy functional over iterations. Therefore, the image with uneven gray scale and noise images can be processed effectively. We demonstrate the capabilities of the method in the domain of medical imaging for segmenting two public databases Sliver07 and 3Dircadb.
Metodología de síntesis de autómatas para controlar sistemas de navegación autónoma terrestre

In this work we propose a methodology for the synthesis of automatons in autonomous ground navigation systems with a global task.  Our method is based on the design of automatons using regular grammars allowing for the generation of control policies for autonomous driving in a partially controlled environment where information is extracted using sensors.  Furthermore, we showcase the problems that arise when approaching this problem with traditional synthesis of finite non-deterministic automatons. Finally, in the results section, we present the validation of the proposed method with simulations using MATLAB© and the Toolbox for Virtual Reality (V-Realm Builder).
An Automatically Guided Wheelchair: Development of Automatic Map Creation and Navigation Systems Using Robot Operating System

We developed a wheelchair that could automatically take users to their destination, even for their first visit to a facility, to reduce their particular mental stress. The automatically guided (AG) wheelchair was developed based on open-source tools such as the Robot Operating Systems (ROS), which provided various useful and convenient libraries and tools. The AG wheelchair consisted of three functions: map detection, control and simultaneous localization and mapping (SLAM), and communication between a robot model created in Navigation Stack and the AG wheelchair. The map was successfully created with errors of ±7 cm, which was not considered a problem for actual use. Additionally, the AG wheelchair successfully took a user to a destination designated on a map under automatic operation. The AG wheelchair avoided not only the walls and pillars but also the obstacles that were excluded from the map information, with 30 cm of avoidance distance (i.e., safety margin). We achieved cost savings for all parts of the AG wheelchair, except the laser sensor. Because safety is the most important factor for actual use, the obstacle avoidance function must be improved in future works. Additionally, users' evaluation should be examined by visual-analog-scale and measuring their physiological parameters, e.g., brain activities and autonomic nervous system activities.
Visual Analysis and Recognition of Crowd Behavior by Principal Component Analysis

The analysis of the human behavior from video is a wide field of the vision by computer. In this work, we are presenting mainly a new approach and method of detects behavior or abnormal events continuous of crowd in the case of the dangerous situations. These scenes are characterized by the presence of a great number of people in the camera’s field of vision. A major problem is the development of an autonomous approach for the management of a great number of anomalies which is almost impossible to carry out by operators. We present in this paper an approach for the anomalies detection, the visual sequences of the video are detected like behavior normal or abnormal based on the measurement and the extraction of the points by the optical flow, then calculations of the distance between the matrices of covariance of the distributions of the vectors of movement calculated on the consecutive reinforcements.
Motion blur image deblurring using edge-based color patches

The shaking of a camera can easily cause blurs in an image. Thus, deblurring is a problem that is worth solving and has always been an active research interest. The color information in an image is an important feature and contains clues for image deblurring that have not been widely exploited. In this paper, we present an efficient and stable blurring kernel estimation method by solving an energy function constructed by a weighted color approximation regularization term. The term is derived from a two-color model, and we use a defined weight to alleviate the color change through the blurring process. Then we select salient edges in an effective way to apply the proposed method on the patches centered at these edges. Experiments on synthetic and real-world images show the efficiency and stability of our proposed method.
Implementasi Algoritma Hybrid Depth-First Search dan Breadth-First Search pada Sistem Repository Dokumen Hasil Karya Mahasiswa (Studi Kasus Pada Jurusan Teknologi Informasi Universitas Tadulako)

Departement of Information Technology Tadulako University, currently does not have a digital repository system that can accommodate the work of student either in form of paper, research report, and scientific posters at the moment. Various of student works is stored in form of physical archives which is definitely risky to get damaged, lost, difficult to access by other students. The existence of a digital repository system can also be used as a benchmark media to develop student creativity in producing scientific work. Searching mechanism is one of the crucial parts in a repository system. There are several commonly used algorithms such as Depth-First search and Breath-First search. Each algorithm have deficiencies and advantages. Therefore, to optimize the searching mechanism on the proposed digital repository system, the author purpose using the DepthFirst search and Breath-First search hybrid algorithms. The result of this study are the design of a prototipe repository system that able to manage and store student scientific documents archive digitally. This system also has a fast and accurate data search fiture.
Penerapan Data Mining Untuk Mendeteksi Tingkatan Stadium Penyakit Human Immunodeficiency Virus / Acquired Immune Deficiency Syndrome (Hiv/Aids) Menggunakan Algoritma Naive Bayes Classifier (Studi Kasus Pada Rumah Sakit Umum Daerah (Rsud) Anutapura Palu)

At Anutapura Palu General Hospital (Hospital) Anutapura Palu to perform stadium detection still using Ms.Excel application with the result of detection is still manually input, to overcome the problem the author aims to make data mining applications to detect the stage of HIV / AIDS by applying Naive Bayes algorithm with output / output result of stadium 1, stadium 2, stadium 3 and stadium 4. The research data was obtained at Anutapura Palu General Hospital (RSU) from 305 HIV / AIDS patients. Existing data were analyzed using Naive Bayes algorithm and using 11 features. Naive Bayes aims to classify data in a particular class, then the pattern can be used to determine the level of stadium suffered by HIV / AIDS patients.
The ieee international conference on video and audio signal processing in the context of neurotechnology [conference reports]

Presents information on the IEEE International Conference on Video and Audio Signal Processing in the Context of Neurotechnology.
Keywords, Lexical Cohesive Devices and the Impact of Search Engine Result for Tour Websites

Content and some elements related to a website are important parts for the website.However, the owners of the website sometimes are not aware of the content and those elements that actually could attract the reader.This study aims to describe the lexical cohesive devices supporting the keywords in the website domain, website title, meta keyword, meta description, heading, content, links, and image title.The data used were words, phrases, clauses and sentences found in the websites.In collecting the data, keywords everywhere and lsigraph.comwere used to find the related keywords and the google monthly search (August 2018).Then the data were analyzed descriptively by distributional method.The theory applied was the theory of lexical cohesion proposed by Halliday.Finally, the result of the analysis was presented by formal and informal method.The result shows both reiteration and collocation were found in the tour websites.In brief, the use of lexical cohesive devices can be the first step in designing contents of website by optimizing the keywords.
SISTEM PAKAR DETEKSI KERUSAKAN MESIN BUBUT DENGAN METODE KNN

Damage to the lathe is difficult to detect and difficult handling so it must be taken to the lathe service workshop first so it wastes time and effort. For example damage to the shaft, pegs, slicing, gear, carrier axis, and clasp tool. This is what drives to build an expert system to detect lathe damage. So it makes it easier to detect and handle the lathe damage quickly. The purpose of this thesis is the creation of an application to detect damage to the lathe by K-Nearest Neighbour method for the lathe. The system implemented with PHP language and MySQL Database and this system can be used on desktop device System have feature detection type of damage, data of symptoms of damage, damage data, and damage detection process. The system is tested using the black box and 70.454% system test result which means the system is running well.Keywords: Expert System, K - Nearest Neighbors, Machine Tool.Damage to the lathe is difficult to detect and difficult handling so it must be taken to the lathe service workshop first so it wastes time and effort. For example damage to the shaft, pegs, slicing, gear, carrier axis, and clasp tool. This is what drives to build an expert system to detect lathe damage. So it makes it easier to detect and handle the lathe damage quickly. The purpose of this thesis is the creation of an application to detect damage to the lathe by K-Nearest Neighbour method for lathe.System implemented with PHP language and MySQL Database and this system can be used on desktop device System has feature detection type of damage, data of symptoms of damage, damage data and damage detection process. The system is tested using black box and 70.454% system test result which means the system is running well.Keywords: Expert System, K - Nearest Neighbors, Machine Tool.
Topic based hierarchical summarisation of Twitter

Twitter has become a rich source of information nowadays.The data generated however is so large in volume that it is not possible to manually go through each and every tweet to understand the context of data.One of the ways to get insight into the bulk of data at hand is to know the topics contained in it.As in the context of Twitter, we define topics to be long-lasting subjects around which the conversations of people revolve, such as sports, music and politics amongst others.However, the topics identified may be large in number and might be cumbersome for human interpretation.Considering these views, in this paper we address the information overload problem of Twitter data and propose a topic based hierarchical summarisation framework for the same.In contrast to imposing restrictions on topic models to depict the hierarchical structure, we propose an algorithm which constructs a topic hierarchy out of any given number of topics.We showcase the effectiveness of the proposed algorithm for the Twitter dataset prepared for Egyptair MS181 flight incident.
Penerapan E-Learning dalam Proses Pembelajaran pada Program Studi PAI Universitas Islam Negeri Raden Fatah Palembang

This study aims to describe how the application of e-learning in the learning process in the study program of PAI in UIN Raden Fatah, Palembang. This research is field research using a qualitative approach. The methods of data are observation, interviews, questionnaires, and documentation. There are five aspects of implementing e-learning that is observed by assessing the perceptions of lecturers and students. The results of the study concluded that First, there are differences of views between lecturers and students about the application of e-learning, only some lecturers have sufficient knowledge about e-learning applications, on the contrary, most of the students understand the application of e-learning. In the aspect of ease of use of e-learning applications, some lecturers said that they had difficulties in implementing e-learning, whereas most of the students said that they are able to implement e-learning. The other three aspects; the aspect of component of e-learning features, the usefulness of it, both lecturers and students assessing the positive and relatively good assessment, while they assessed less optimal about facilities supporting it.
Capability of Print Media and Electronic Media in Analyzing News

The scope of journalistic space usually revolves around journalistic work, news, and clarification of issues that are currently hot. The scope of this journalism applies not only in mass media, but also in electronic media such as radio and television broadcasts. Characters and its peculiarities include the aspects of the publishing philosophy, the technical dynamics of preparation and management, and the assumptions of the impact on the audience, listeners, or viewers. This chapter discusses some key aspects relating to journalism, namely the notion of journalism, at a glance the development of journalism, forms of journalism, journalistic products. The aim of this research is the activity of preparing, seeking, collecting, processing, presenting, and disseminating news through the media periodically to the widest possible audience. The research method is qualitative research.
Oral Expression of Young People Caused by the Use of New Media

The authors want to explore the extent to which the elements of the language of new media (abbreviations, omission, dialectisms, vulgarisms, anglicisms, etc.) are present in the speech of young Croatians (100 secondary school students in their final years) in their conversations due to the influence of the language of new media. The results of the research have shown that young people use a large number of the elements of the language of new media in their mutual communication, but it is much less than in their written communication.
Real Time Monitoring System for Crag Based on the Adaptive Color's Spatial Information Fusion Algorithm

This paper presented Real time monitoring system for crag based on the Adaptive Color's Spatial Information Fusion Algorithm, which realized real-time monitoring of crag area along the road. Aiming at the problems of missing detection, voids and ghost images in the traditional frame difference algorithm, the Adaptive N Frame Difference Algorithm was proposed. Under different light conditions we select the mix color's spatial with the best detection results. And in this spatial, frame difference algorithm is adaptively selected to optimize the system performance. The edge information of moving object extracted by edge detection is combined with frame difference information by using the Information Fusion Algorithm to get a complete moving object detection result. Experiments show that the algorithm proposed in this paper can identify and track moving targets more accurately. At the same time, it greatly reduces the detection time of the system, and has good robustness and real-time performance.
Special issue on evaluation and assessment in software engineering

Driven by the technical factors such as system reliability, bandwidth constraints, data confidentiality and security, as well as the economic factors such as initial capital expenditure and re-occurring operating expenditure, today's cloud computing tends to adopt hybrid cloud model. However, because hybrid clouds scale both numerically and geographically, the network delay becomes the main constraint in remote file system access. To hide network latency and reduce job completion time in Hadoop-based hybrid cloud data access, a scheduling-aware data prefetching scheme to enhance non-local map task's data locality in Hadoop-based centralized hybrid cloud (CHCDLOS-Prefetch) and a file synchronizing method to decrease job execution delay in Hadoop-based distributed hybrid cloud (DHCDLO-Sync) are proposed. In the former, input data for non-local map tasks are fetched ahead of time to target compute nodes by making use of idle network bandwidth. In the latter, considered from job level scheduling, data files with high popularity are proactively synchronized beforehand among sub-clouds to strength intra sub-cloud data locality in distributed hybrid cloud. Extensive experimental results illustrate that compared to the Capacity, the Fair and the DARE algorithms, our proposed algorithms improve hybrid cloud performance more significantly in data locality and job completion time.
Enhanced Identity-Based Certificateless Signcryption Scheme

Secure Internet communication can be made more efficient using a Crypto System called identity-based certificateless signcryption scheme and constructing a secure one is a challenge, which is achieved using a standard model. The primary aim of this paper is to securely generate keys and for encryption and decryption functions. Strongsecurity, better performance efficiency and reduced cost expanses are all made possible by the enhanced new system.