Reviewerly/exHarmony huggingface dataset:
A Novel Approach to Mammogram Classification using Spatio-Temporal and Texture Feature Extraction using Dictionary based Sparse Representation Classifier

Cancer is a chronic disease and increasing rapidly worldwide.Breast cancer is one of the most crucial cancer which affects the women health and causes death of the women.In order to predict the breast cancer, mammogram is considered as a promising technique which helps to identify the early stages of cancer.However, several schemes have been developed during last decade to overcome the performance related issues but achieving the desired performance is still challenging task.To overcome this issue, we introduce a novel and robust approach of feature extraction and classification.According to the proposed approach, first of all, we apply pre-processing stage where image binarization is applied using Niblack's method and later Region of Interest (ROI) extraction and segmentation schemes are applied.In the next phase of work, we developed a mixed strategy of feature extraction where we consider Gray Level Cooccurrence Matrix (GLCM), Histogram of oriented Gradients (HoG) with Principal Component Analysis (PCA) for dimension reduction, Scale-invariant Feature Transform (SIFT), and nonparametric Discrete Wavelet Transform (DWT) features are extracted.Finally, we present K-Singular value decomposition (SVD) based dictionary learning scheme and applied the Sparse representation classifier (SRC) classification approach and performance is evaluated using MATLAB tool.An extensive experimental study is carried out which shows that the proposed approach achieves classification accuracy as 98.13%, Precision as 97.58%, Recall as 98.36%, and F-Score 97.95%.The performance of proposed approach is compared with the stateof-art techniques which shows that the proposed approach gives better performance.
Physiological Efficiency Of Interaction Between Students And E-Learning Environment

The paper introduces the analysis of the theoretical-empirical study revealing the psychological efficiency of the interaction between students and the e-learning environment in the context of personal selforganization development when doing different activities.The aim of the study is to identify the characteristics of the psychological efficiency, and the ways it is expressed by, in the interaction between students and e-learning environment, including the strategies for self-organization depending on the parameters as gender and educational program profile.The empirical study was conducted with a variety of methods.The results of the empirical study show that only a small part of the student shows an inefficient level of interaction with the e-learning environment, whereas, most students demonstrate a good attitude to it and high productivity.In general, the sample of the students is characterized by the ability to concentrate on goals, they are quite determined, have tendencies to fix/focus on a pre-planned structure of the events and on how they are scheduled in time.Either the students possess a tendency to make strong-willed efforts to complete an ongoing action or task.Male students are more characterized by independence in planning activities, their detailing, and demonstration of strong-willed efforts in structuring their own actions, the use of planning aids, and focus on the present, not on the past.Female students are distinguished by their diligence, desire by any means to achieve a result in the activity they do.
PENGARUH FASILITAS BELAJAR TERHADAP MOTIVASI BELAJAR SISWA KELAS III SD NEGERI NOTOREJO KECAMATAN GONDANG KABUPATEN TULUNGAGUNG

Learning facilities refers to the facilities and infrastructures utilized to support the learning activities in order to achieve the goals of education. Motivation is a condition that encourages someone to do an activity so that he can achieve his goals. This research utilized a quantitative research method, namely ex post facto research. The data were analyzed by using the prerequisite test and t-test. The conclusion of the t-test revealed that the score of t count (3.681) &gt; t table (1.706) with a significance of 0.001≤0.05. Therefore, H 0 was rejected and H a was accepted. Thus, it can be concluded that learning facilities affected the learning motivation of grade III students at SDN I Notorejo, Kecamatan Gondang, Kabupaten Tulungagung in the academic year 2018/2019. The results of this research were used as an effort to improve the quality of learning, especially in the availability of adequate learning facilities as a supporting factor to increase the students’ learning motivation
Rank Based Pseudoinverse Computation in Extreme Learning Machine for large Datasets

Extreme Learning Machine (ELM) is an efficient and effective least-square-based learning algorithm for classification, regression problems based on single hidden layer feed-forward neural network (SLFN). It has been shown in the literature that it has faster convergence and good generalization ability for moderate datasets. But, there is great deal of challenge involved in computing the pseudoinverse when there are large numbers of hidden nodes or for large number of instances to train complex pattern recognition problems. To address this problem, a few approaches such as EM-ELM, DF-ELM have been proposed in the literature. In this paper, a new rank-based matrix decomposition of the hidden layer matrix is introduced to have the optimal training time and reduce the computational complexity for a large number of hidden nodes in the hidden layer. The results show that it has constant training time which is closer towards the minimal training time and very far from worst-case training time of the DF-ELM algorithm that has been shown efficient in the recent literature.
Особенности образа современного русского интеллигента на примере романа Алексея Варламова Затонувший ковчег (1997)

The article focuses on the image of the modern Russian intellectual, depicted in the artistic text of Aleksey Varlamov, the Sunken Ark. Understanding the phenomenon of the Russian intelligentsia in the analysed literary work is associated with the problem of the opposition of reason and faith in the process of the personality formation of the modern intellectual. The analysis carried out in the text allows not only to trace and better understand the social processes of the crisis period in Russia, but also to notice their enormous impact on the consciousness of the main hero-intellectual Ilya Petrovich. The use of the methodology of historical and literary research in the work is adequate to the problems posed. The novel under analysis, as a kind of warning, has a deep philosophical undertone that touches upon the problems of faith, unbelief, freedom of the individual and the pursuit of moral perfection. Varlamov’s intellectual, as a typical “hero of our time”, regardless of his weakness, defenselessness and internal rupture, seems to be most needed in life.
Rekomendasi Wisata Umbul dengan K-Means Clustering

District Klaten has many springs that are used by people for many things; one of them used for tourist attractions is umbul tourism. It is difficult to use K-Means Clustering Method for determine umbul tourism according to classification and spread in district Klaten. K-Means Clustering is a method of grouping data by taking parameters of a number clusters, and partitioning data into clusters, based on similarities between data in one cluster and dissimilarities between different clusters, the center of the cluster is the average of the cluster member values it called as centroid. The results of this study are grouping the umbul truism which are divided into three clusters namely Enough, Good and The Best. The result of the data, there are 4 umbul tourisms in the first cluster is Beautiful category, namely Tirtomoyo, Buto, Pancuran, and Besuki. In the third cluster of umbul tourism has good category, namely Tirto Mulyani umbul, Gedaren, Sumber Nila, Manten, Sigedang, and Kajen. In the best category in the second cluster has 8 umbul tourisms, namely Nila umbul, Tirto Mulyono, Ingas, Lumban Tirto, Ponggok, Tirto Raharjo, Jolotundo, and Tirtomulyono.Keywords: K-Means Clustering, Umbul, Umbul Category, Tourist Destination
The Cloud and Government Intervention within Cyberspace

The aim of this article is to show the importance of cyber security and its growing influence on companies. We can also see how much companies are willing to invest in security. In this cyber security era, there is a fiercely competition between companies and the technologies they use to protect themselves against threats.
Digital Humanities: Community Participation in the Balinese Language Digital Dictionary

In recent years, the capability of Balinese people to write and speak their mother tongue has declined significantly among the younger generations because of the growing influence and adoption of the national language, Bahasa Indonesia. It has spread rapidly among Balinese youth because it is considerably more straightforward than the Balinese language and is free of caste regulations. In this paper, we present the details of our digital humanities preservation research dealing with the Balinese language. We utilize community-based crowdsourcing to participate in expanding and enriching the BASABali Wiki digital dictionary in the form of an online competition. Ninety-six participants in 24 groups participated in our study, and their contribution populated 2686 new unique sentences to the BASABali Wiki digital dictionary. We also discuss the procedures employed to evaluate the digital dictionary: to receive feedback on the digital dictionary system and our approach to acquiring the knowledge of the community.
Moving Object Segmentation Using Level Set Algorithm with GWO-KFCM Clustering

Video analytics is widely used to automatically analyze the videos to extract the required information and detect the various events object identification and traffic analysis. The segmentation of the image is referring to extracting the required region from an image. The major objective of the segmentation process is to cluster the images without being affected by the noises. The detection of the moving objects is a challenging task in video analysis due to the dynamic background of the video. The major drawback of the existing Kernel Fuzzy C-Means (KFCM) clustering is initialization of random centroids which increases the execution time to identify the segmented portions. In this research, the Grey Wolf Optimization (GWO) algorithm used to initialize the centroids of required clusters in KFCM and Level Set (LS) Algorithm is used to segment the objects in video sequence. The proposed KFCM-GWO-LS is implemented for moving and static object detection in the videos obtained from SBM-RGBD dataset. For object detection, determining central clusters are important which is performed by using KFCM. GWO helps in finding the best centroids clusters by matching with KFCM. The centroids clusters are segmented by using LS algorithm which undergoes over segmentation problem that is overcome by GWO. As all the three techniques are dependent on one another hybrid of all these techniques obtains better results. The proposed KFCM-GWO-LS is evaluated in terms of Recall, Specificity, Precision and F-measure and the experimental results showed that the proposed method improved the system performance from 0.3 % to 14.35 % compared to existing methods Multi-Sensor Scheduler Algorithm and Statistical Inference Theory model.
Design of E-Procurement System In CV. W3 INDONESIA

This research is a part of the implementation of e-procurement in CV. W3 Indonesia. The procurement was done conventionally using paper forms which were filled and submitted to the supervisor to get approval. After that, the purchasing department would purchase the items ordered. The design and implementation of this e-procurement resulted a system that is able to improve efficiency procurement processes time, and reduce operational costs by eliminating paper that was originally used as a medium for communication and verification.
Pengaruh Adversity Intelligence, Motivasi Belajar Terhadap Kesiapan Belajar

The specific purpose of this study was to examine the effect of Adversity Intelligence of cadets participating in the seafaring expertise test and learning motivation of cadets participating in the seafaring expertise test on study readiness both partially and collectively. This study used a sample of 62 cadets participating in the pre-prala seafarer expertise test in the nautical department. The sampling technique in this study was nonprobability sampling with a purposive sampling method. Based on the research results, it can be concluded as follows: (1) adversity intelligence has an effect on learning readiness, (2) learning motivation has a positive and significant effect on learning readiness, (3) Adversity Intelligence affects learning motivation, ( 4) Adversity Intelligence and learning motivation together have an effect on learning readiness.
Noble Control Scheme for Prosthetic Hands through Spatial Understanding

A novel control scheme for prosthetic hands through spatial understanding is proposed. The proposed control scheme features an imaging sensor and an inertial measurement unit (IMU) sensor, which makes prosthetic hands capable of visual and motion sensing. The imaging sensor captures the scene where the user is willing to grasp the object. The control system recognizes the target object, extracts its surface features and estimates its pose from the captured images. Then the spatial relationship is constructed between the hand and the target object. With the help of IMU sensors, the relationship can be tracked and kept wherever the prosthetic hand moves even the object is out of the view range of the camera. To interact with the user, this process is visualized using augmented reality (AR) technology. A test platform based on the proposed control scheme is developed and a case study is performed with the platform.
Metatheatre of Pirandello as an Attempt to (Re)define the Theatre

Luigi Pirandello is one of the greatest creators of the metatheatre. The Italian Nobel Prize winner has tried for years to explore the unclear status of theatrical performances, exposing the paradoxical truths and relations in which the spectacle is implicated. The metatheatrical trilogy of Pirandello includes the following dramas: Six characters in search of an author, Tonight we improvise and Each in his own way. Despite the fact that these texts put emphasis on various aspects of the same problem, they constitute an extremely coherent and – most importantly – up-to-date reflection on the nature of the medium they represent. The action of these dramas take place within a microcosm of indefinite boundaries and its fiction, contrary to accepted conventions, blends into the real world, blurring the border between art and life, imitation and original, truth and falsehood. The author of the article investigates the metatheatrical experiments of the Sicilian master in the three above-mentioned dramas, demonstrating how Pirandellian games with theatre’s conventions and stage illusion changes (broadens) the understanding of the theatrical spectacle and stage fiction. Keywords: Pirandello, metatheatre, modern drama, stage illusion, act of creation, imitation, truth, awareness of fiction
Efektivitas Penerapan Metode Hypnoteaching Dalam Meningkatkan Aktivitas Belajar Siswa

Teachers are required to have methodological abilities in the design and implementation of learning. The application of Hypnoteaching method in increasing learning activities greatly helps the learning process in the classroom and increases learning motivation which has an impact on increasing learning activities. This research uses a combination of sequential exploratory research methods. Combined research methods that combine qualitative and quantitative research sequentially where in the first phase of research using qualitative methods and in the second stage quantitative methods. Qualitative methods function to support hypotheses in certain cases or limited samples and quantitative methods function to support hypotheses in a wider population. The application of the Hypnoteaching method given by the teacher in class X is very effective in making the passive classroom atmosphere become calm and active when given a Hypnoteaching method stimulus. The fun atmosphere of learning in the classroom will cause students to feel at home while learning in class. From the results of the calculation of the average value and absorption of the above students obtained results for the average of the overall learning outcomes of students in class X Mipa 6 is 88 and the absorbency obtained from the average score of students is 88%. These results indicate that the average score or value of students is in the range of 61-100 with the category of Effective and Very Effective.
Klasifikasi Rating Otomatis pada Dokumen Teks Ulasan Produk Elektronik Menggunakan Metode N-gram dan Naïve Bayes

Online product ratings usually provide descriptive reviews and also reviews in the form of ratings. Likewise, what was done at the Lazada online store. Descriptive review can provide a clear view compared to a rating review to other potential buyers. However, in reality there is a mismatch between the description review and the rating given. This creates a lack of information for sellers as well as potential buyers. Automatic classification of buyer descriptive reviews is proposed in this study so that there is a match between descriptive reviews and rating reviews. This automatic classification descriptive review uses the Naive Bayes algorithm with n-gram feature extraction and TF-IDF word weighting. The results of this study obtained the best accuracy of 94.06%, a recall of 91.73% and precision of 90.71% in Bigram feature extraction. With this accuracy value it can be used as a reference or model for classifying product description reviews, so that the feedback process between sellers and buyers can run well.
THE IMPLEMENTATION OF INTERACTIVE MULTIMEDIA TO IMPROVE LEARNING OUTCOMES IN FRACTION AT PRIMARY SCHOOL

The study was a classroom action research conducted at SDN 41 Sungai Ambawang, located on Jalan Sambas Timur Perumnas IV Sungai, Kubu Raya Regency, in IV grade with a total of 30 students. The formulation of the problems in this study are: (1) How is the planning of learning using interactive multimedia on fraction material in IV grade SDN 41 Sungai Ambawang; (2) How is the implementation of learning using interactive multimedia on fraction material in IV grade SDN 41 Sungai Ambawang; (3) What are the learning outcomes of students after using interactive multimedia on fractions material in IV grade SDN 41 Sungai Ambawang. Data collection techniques in this study used tests, interviews, observation, and documentation. While the data analysis technique used analysis and reflection in each cycle, based on data and results of observations, analysis, and reflection carried out by educators as researchers. In learning planning using interactive multimedia on fraction in IV grade at SDN 41 Sungai Ambawang has been done well. It can be seen from the scores obtained in the preparation of RPP, each component has increased. In Cycle I, an average score of 72.05% increased in Cycle II to 88.9%, with an increase of 16.85% difference. The implementation of learning using interactive multimedia on fraction in IV grade at SDN 41 Sungai Ambawang, based on the results of colleagues' observations, that the implementation of learning using interactive multimedia has been appropriately implemented as expected. It can be seen from the assessment of teacher activity in the first cycle an average of 67.5% was obtained, then an increase in the second cycle to 92.5%, an increase of 25%.
Aplikasi Pemesanan Karantina dan Pengiriman Paket Ikan PD. Masterindo Laju Abadi di Tangerang Berbasis Android

The more technology develops, the more it creates a consumptive society pattern. Apart from shopping, the shipping sector has also experienced many developments. PD. Masterindo Laju Abadi provides shipping and quarantine services for fish shipments, where each fish sent must have a quarantine document in order to be sent. However, the management of shipping data and tracking of receipts is still done manually, causing several errors in data retrieval or in calculating bills. If this condition is allowed to drag on, then the hope to increase the company's productivity cannot be fulfilled and it is more difficult to achieve, therefore it is better if this service sector is supported by existing technology, so that it can make it easier for fish sellers to run their business. This research takes the theme of the business that is carried out by PD. Masterindo Laju Abadi, a shipping service company that collaborates with JNE and Caratina which only provides a few employees in the office division to handle a variety of different jobs, therefore it would be better if a job done by these few people can be handled properly and efficient.
APLIKASI PENGELOLAAN MATA KULIAH TEKNIK INFORMATIKA BERBASIS CLIENT SERVER PADA STMIK PALANGKARAYA

As a college education institution, STMIK Palangka Raya plays a role in the development of science, especially in the field of information technology. As a consequence of that, STMIK Palangka Raya should apply and use information technology to optimize the process of education that it organizes. So far, course information send by lecturers through word of mouth at STMIK Palangka Raya. so the authors feel there needs to use information technology to send the course information effectively by way of making the Application of Informatics Engineering Course Management in Client Server based at STMIK Palangka Raya.&#x0D; &#x0D; The purpose of this research is to help lecturers convey information such as course schedules, course assignments, course files, and course grades to students through application with internet connection.&#x0D; &#x0D; Based on the results of questionnaires made with google form service and disseminated to college students through social media with 13 respondents has filled the questionnaire, the Application of Informatics Engineering Course Management in Client Server based at STMIK Palangka Raya can be said to be worthy to use and proper to implement with the percentage of 83%.
Asynchronous Non-Blocking Algorithm to Handle Straggler Reduce Tasks in Hadoop System

Hadoop is widely adopted as a big data processing application as it can run on commercial hardware at a reasonable time. Hadoop uses asynchronous blocking concurrency using Thread and Future class. Therefore, in some cases such as network link or hardware failure, a running task may block other tasks from running (the task becomes straggler). Hadoop releases are equipped with algorithms to handle straggler tasks problem. However, the algorithms manage Map and Reduce task similarly, while the straggler root cause might be different for both tasks. In this paper, the Asynchronous Non-Blocking (ANB) method is proposed to improve the performance and avoid the blocking of Reduce task in Hadoop. Instead of using the single queue, our approach uses two queues, i.e. task queue and callback queue. When a task is not ready or detected as a straggler, it is removed from the main task queue and temporarily sent to the callback queue. When the task is ready to run, it will be sent back to the main task queue for running. The performance of the algorithm is compared with rTuner, the latest paper found on handling straggler task in Reduce task. From the comparison, it is shown that ANB consistently gives faster time to complete because any unready tasks will be directly put into the callback queue without blocking other tasks. Furthermore, the overhead time in rTuner is high as it needs to check the straggler status and to find the reason for a task to become straggler.