Reviewerly/exHarmony huggingface dataset:
Pengaruh Pembelajaran E-Learning Terhadap Mahasiswa

As information technology grows rapidly, the need for a concept and mechanism for Information Technology-based teaching and learning becomes inevitable. The concept which became known as e-Learning brought the effect of the process of transforming conventional education into digital form, both in terms of contents and systems bridged by internet technology. The e-Learning concept gives the possibility of more intensive interaction between lecturers and students, students with students in the classroom and outside the classroom. The purpose of writing is to measure the level of activity of students as users of e-Learning systems to support Teaching and Learning Activities between lecturers and students. -Learning in this study uses the Moodle system and data collection using a questionnaire with COLLES which is already available in the Moodle module. From the results of the analysis, it can be concluded that students are quite active in Teaching and Learning activities with e-Learning systems which include material download activities, discussion forums and work on quizzes or problem exercises.
Pengertian Administrasi Sarana Dan Prasarana, Proses Administrasi Sarana Dan Prasarana Dan Peran Guru Dalam Administrasi Sarana Dan Prasarana

The administration of educational facilities and infrastructure are all components that directly or indirectly support the course of the education process to achieve the goals in education itself. Administration of Educational Facilities and Infrastructure is the entire process that is planned and carried out intentionally and conscientiously as well as continuous coaching of educational objects, so that they are always ready for use in PBM so that PBM is more effective and efficient in order to help the achievement of educational goals that have been achieved stipulated in the Administration of infrastructure recommendations include 5 things namely Determination of needs, the procurement process, Usage, Recording / management and accountability. administrative activities of educational facilities and infrastructure include planning for procurement of goods, procurement of goods, storage, inventory, distribution, maintenance, rehabilitation, elimination and control. The role of the teacher in the administration of school infrastructure is involved in planning the procurement of teaching aids, involved in the use and maintenance of teaching aids used by teachers and supervision in the use of practical tools by students.
Identification and Impact of Motivational Factors on Job Satisfaction and Job Performance of Health Workers of Punjab Government Health Department

Motivation of an employee plays a very important role in all departments of every organization. Organizations cannot think of achieving its goals or objectives without motivating or encouraging their employees. The main objective of this research is to determine the impact of motivational factors (intrinsic and extrinsic) on employees' job satisfaction and their performance particularly in health field workers in Punjab. In this study, a questionnaire is prepared, consisting 4 parts where questions in part one are for the personal information of the respondents, questions in part two are prepared for variables of motivational factors as play a very important role for motivating the health workers, part three for Job Satisfaction and part four for health worker’s performance. 190 health field workers were taken to distribute the questionnaire (nurse staff and allied health workers) of Punjab health department. Out of 190 health field workers, 171 filled the questionnaire properly. Data was gathered through questionnaire and personal interviews. Correlation, regression and reliability analysis were used to analyze the data. This research study has made an attempt to determine the motivational factors and their impact on worker's job satisfaction and their performance. The result of study reveals that the health worker’s motivational factors affect their satisfaction and performance in the organization.
Back Cover Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 9 No. 3 November 2020

Back Cover Jurnal Sisfokom
Scalable Methodology to Hide Audio Data in Cover Image using RGB and Gray Color based Key Positioning Image Steganography

This objective of this paper is primarily focused on RGB color and Gray scale color based key positioning steganography which has been used to overcome the disadvantages of the Least Significant Bit replacement algorithm and helps to embed the audio data in the color images. The given audio data of various sizes is used to embed in the green color channel of the 24 bit color image sequentially by the key based LSB positioning algorithm. Here the audio threshold is another major area where the focus has been laid as increasing the size of the audio data[26] which can be sent through an image without losing the quality of the audio. This method of hiding the audio data through an image helps to authenticate the sender[25] and verifies whether the data has been really sent to the valid user or is used to prevent morphed secret details by the attacker in the middle. The proposed algorithm has been tested against various existing algorithm to study how effectively the algorithm is working, and how effectively it overcomes the drawbacks of the present algorithms. The algorithm is scalable to serve the purpose of authenticating the different demographical region users living all over world and also to identify that the message is reaching only to the valid user[31].
Crystal Period Vectors under External Stress in Statistical Physics

In crystal periodic structure prediction, a basic and general equation is needed to determine their period vectors (cell edge vectors), especially under arbitrary external stress. It was derived in Newtonian dynamics years ago, which can be combined with quantum physics by further modeling. Here a new and concise approach based on the principles of statistical physics was employed to derive it into a new form, then applicable to both classical physics and quantum physics by its own. The new form also turned out to be the specific explicit equilibrium condition and the equation of state for crystals under external stress and temperature. Contrary to a general belief, the new form also concluded that harmonic oscillators can cause crystal thermal expansion.
Autoencoder-bank Based Design for Adaptive Channel-Blind Robust Transmission

Abstract The idea of employing deep autoencoders (AEs) has been recently proposed to capture the end-to-end performance in the physical layer of communication systems. However, most of the current methods for applying AEs are developed based on the assumption that there is an explicit channel model for training that matches the actual channel model in the online transmission. Since the actual channel varies over time, this imposes a major limitation on employing AE-based systems. In this paper, without relying on an explicit channel model, we propose an adaptive scheme to increase the reliability of an AE-based communication system over different channel conditions. More precisely, we divide the interval of random channel coefficients into n sub-intervals. Subsequently, in the offline training phase, we employ an AE bank consisting of n pairs of encoder and decoder and perform training over the sub-intervals. Then, in the online transmission phase, based on the actual channel conditions, the optimal pair of encoder and decoder is selected for data transmission in terms of satisfying an average block error rate (BLER) constraint imposed on the system. To monitor actual channel conditions for adopting the adaptive scheme, we assume a realistic scenario where the instantaneous channel gain is not known to Tx/Rx and it is blindly estimated at the RX, i.e., without using any pilot symbols. Our simulation results confirms the superiority of the proposed adaptive scheme over a non-adaptive scenario in terms of average power consumption. For instance, when the target average BLER is equal to 10 −4 , our proposed algorithm with n = 5 can achieve a performance gain over 1.2 dB compared with a non-adaptive scheme
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KARYAWAN BERPRESTASI MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING PADA KANTOR DINAS PERHUBUNGAN KAB. PESISIR SELATAN

Setiap karyawan pasti ingin dinobatkan sebagai karyawan berprestasi, tapi semua itu tidak akan terlepas dari tahap-tahap penilaian. Kantor Dinas Perhubungan Kabupaten Pesisir Selatan awalnya melakukan penilaian karyawan berprestasi hanya berdasarkan pada pemantauan hasil kerja karyawan dan lamanya karyawan bekerja di kantor tersebut. Keputusan seseorang bisa salah karena proses pemilihan karyawan berdasarkan subjektifitas. Oleh karena itu diperlukan sistem pendukung keputusan untuk proses pemilihan karyawan tersebut. Sistem pendukung keputusan ini dapat menentukan nilai perhitungan terhadap semua kriteria. Sistem ini menggunakan metode Simple Additive Weighting (SAW). Metode ini merupakan suatu metode yang mencari penjumlahan terbobot. Pada studi kasus kantor Dinas Perhubungan Kabupaten Pesisir Selatan, terdapat empat kriteria yaitu kedisiplinan, spiritual, sosial, kerapian. Dalam hal ini untuk menentukan karyawan berprestasi dilakukan dengan cara penjumlahan bobot dari rating kinerja pada setiap alternatif untuk semua atribut. Nilai yang lebih besar akan mengindikasikan bahwa alternatif lebih terpilih. Pada kasus tersebut metode SAW ini dapat menentukan karyawan berprestasi berdasarkan nilai tertinggi.&#x0D; &#x0D; Every employee would want to be named an outstanding employee, but all of that will not be separated from the assessment stages. The Office of Dinas Perhubungan of Pesisir Selatan district initially conducted an employee performance assessment based solely on monitoring the employee's work and the length of time the employee worked at the office. Someone's decision can be wrong because the employee selection process is based on subjectivity. Therefore we need a decision support system for the employee selection process. This decision support system can determine the calculated value against all criteria. This system uses the Simple Additive Weighting (SAW) method. This method is a method that looks for weighted summation. In the case study of Dinas Perhubungan of Pesisir Selatan district, there are four criteria, namely disciplinary, spiritual, social, neatness. In this case, to determine the outstanding employee is done by adding the weight of the performance rating on each alternative for all attributes. A larger value will indicate that an alternative is preferred. In that case, the SAW method can determine the employee's achievement based on the highest score.
SimulaD: A Novel Feature Selection Heuristics for Discrete Data

By applying a running average (with a window-size= d), we could transform Discrete data to broad-range, Continuous values. When we have more than 2 columns and one of them is containing data about the tags of classification (Class Column), we could compare and sort the features (Non-class Columns) based on the R2 coefficient of the regression for running averages. The parameters tuning could help us to select the best features (the non-class columns which have the best correlation with the Class Column). &amp;ldquo;Window size&amp;rdquo; and &amp;ldquo;Ordering&amp;rdquo; could be tuned to achieve the goal. this optimization problem is hard and we need an Algorithm (or Heuristics) for simplifying this tuning. We demonstrate a novel heuristics, Called Simulated Distillation (SimulaD), which could help us to gain a somehow good results with this optimization problem.
Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise

Datasets containing class noise present significant challenges to accurate classification, thus requiring classifiers that can refuse to classify noisy instances. We demonstrate the inability of the popular confidence-thresholding rejection method to learn from relationships between input features and not-at-random class noise. To take advantage of these relationships, we propose a novel null-labelling scheme based on iterative re-training with relabelled datasets that uses a classifier to learn to reject instances that are likely to be misclassified. We demonstrate the ability of null-labelling to achieve a significantly better tradeoff between classification error and coverage than the confidence-thresholding method. Models generated by the null-labelling scheme have the added advantage of interpretability, in that they are able to identify features correlated with class noise. We also unify prior theories for combining and evaluating sets of rejecting classifiers.
An Empirical Research on Spatial Data Mining

Spatial data mining is a process of extracting expertise from large volumes of spatial data collected from different applications such as remote sensing, geographic systems and social networks, etc. The collected spatial data are too difficult for the human to analyze. Recent research focuses on data mining to extend the data mining scope from relational storages to spatial databases. A lot of effort put forth to summarize various spatial based knowledge discovery in data mining such as based on generalization, clustering based, spatial associations based, and approximations and aggregations based knowledge discovery are discussed. The discussion shows that spatial data mining is a promising area of information discovery and can lead to extensive research and many challenging issues.
Analisis Cara Kerja Perancangan E-Report Menggunakan Framework Codeigniter Untuk Laporan Keseharian Siswa

This research aims to develop an electronic reporting application that helps schools manage and share student daily information at school with parents. Making it easier for student guardians to supervise their children at school. This is implemented using the applied methodology used in solving practical problems in the modern world. In its application, a web-based application was built that was designed using the MVC (Model View Controller) method which aims to group functions into a unit in accordance with their respective types such as data, display and controller so as not to be scattered. Which is implemented with the Codeigniter framework which has very good documentation, small files, good performance and easy to integrate. So as to produce a Website-based E-report system using the MVC Method that can provide services in managing data such as adding, viewing, editing, and deleting data about the daily lives of students in schools stored in the database.
Supplemental Material: A prolonged, two-step oxygenation of Earth’s early atmosphere: Support from confidence intervals

Details of the equations used, and compiled geological/geochemical data.&lt;br&gt;
Detecting Features Inconsitency in Cross-Platform Applications

The development of mobile computing has offered rise to a differing set of computing platforms. Customers utilize these distinctive stages for both personal and business exercises, for example, banking, shopping and so on. The developers of mobile computing faces many challenges which includes numerous versions of operating systems and thousands of devices which various in screen sizes.While developing mobile applications, the application engineers have to determine APIs of a home stage (e.g., Windows Phone), and consequently create forms of the application for different target stages (e.g., iOS and Android).Because of this cross platform application development is a striking issue for programming engineers who need to pitch to clients regardless of which platform they run (Windows, Mac or Linux).
Decision Tree Classifier

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.
GHANA: Nana Akufo‐Addo Sworn In

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 58, Issue 1 p. 23007C-23008C Internal Developments GHANA: Nana Akufo-Addo Sworn In First published: 16 February 2021 https://doi.org/10.1111/j.1467-825X.2021.09826.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume58, Issue1February 2021Pages 23007C-23008C RelatedInformation
Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2019

The National Research Institute for Earth Science and Disaster Resilience (NIED) is working on three tasks: predicting disasters, preventing damage, and realizing speedy reconstruction and recovery efforts in the event of natural disasters such as earthquakes, tsunamis, volcanic eruptions, landslides, torrential rains, blizzards, and ice storms. In the last three years of the NIED’s fourth mid/long term plan period, which began in 2016, natural disasters have occurred every year, including earthquake disasters such as the 2016 Kumamoto earthquake (M7.3) and the 2018 Iburi, Hokkaido, earthquake (M7.1). Disasters of the rainfall include the heavy rainfall in the northern Kyushu (Fukuoka and Oita) in July 2017, the heavy rain event in southwestern Japan in July 2018, the rainfall in northern Kyushu (Saga) in August 2019, and the heavy rainfall in Kanto and Tohoku in October 2019. There were also other disasters: an avalanche accident on Nasudake in 2017 and a phreatic eruption of Kusatsu-Shiranesan in 2018. Due to the above-mentioned very frequent occurrence of such natural disasters on the Japanese islands, our institute has conducted several research projects to mitigate the damage from such disasters and to accelerate the recovery from them. As the third NIED special issue in the Journal of Disaster Research, several related research results were presented such as those on seismic disasters (Wakai et al., Nakazawa et al., and Ohsumi et al.), those on climatic disasters (Nakamura, and Ishizawa and Danjo), and those of their integrated researches for disaster risk reduction (Cui et al. and Nakajima et al.). Although the achievements detailed in these papers are the results of individual research, the NIED hopes that these results as a whole will be fully utilized to promote science and technology for disaster risk reduction and resilience. The NIED hopes that this special issue awakens the readers’ interest in new research and, of course, creates an opportunity for further collaborative works with us.
Same point-to-point answers but in a clearer typing format

In this paper, the authors developed a new method for river bathymetry and discharge estimation from satellite altimetry data.They firstly estimated river discharge from satellite-observed water elevation data by machine learning.Then, using the estimated discharge and water elevation, they performed the inversion of a hydrodynamic modelto estimate bathymetry and C1
Cancer cell Detection using FMM Compressed Images

Counting a lymphocytes is bit a time consuming and tedious task and also not that interesting but we should not neglect the task because doctor should get an accurate report about a patient so that it will help to understand a doctor more about a patient and sometimes the manual counting of lymphocytes may also lead to improper / incorrect count of a lymphocyte which affect in analyzing a patient so we should not neglect the task. Because of these disadvantages we are developing an automated tool to count the number of lymphocytes using image processing. Initially image is converted into gray scale to get the maximum accuracy in the result, and then the image is compressed so that it can be stored in a minimal storage space, then edge detection of a cell is done through canny detection process to extract the counter boundary of the blood cell, then dilation and erode is applied to enlarge the interested cell and contract the non-interested cells by using a morphological characteristics ,then watershed algorithm is applied to segment the cytoplasm and nucleus from the blood cell. Finally counting of lymphocytes is performed.
Research on Sentimental Analysis Techniques

The sentimental analysis may be a dominant role in opinion mining is in addition stated as sentiment analysis due to clear sort, review sites, blogs, and tweets square measure on the market in digital sort. Sentiment analysis is that the sphere of study that analyses consumer opinion, feedback, sentiment analysis, attitudes and feeling from communication. At intervals fraction second, we've got an inclination to classify the text in many manner in several seconds. It’s one all told the active analysis areas in communication method. There are a unit vary of techniques we would like to classify the opinion reviews. the most problematic within the sentiment analysis is to grasp the usage of negation and also the taxonomy of positive and negative sentiments recorded by the users in the group. the most aim of this paper boon a survey relating to the presently accessible technique, application and drawback that seem within the field of opinion mining.
Administrasi Sarana dan Prasarana Sekolah

Administration of educational facilities and infrastructure are all components that directly or indirectly support the course of the education process to achieve goals in education itself. Administrative activities in the field of educational facilities and infrastructure include; planning, procurement, inventory, distribution, utilization and maintenance, deletion, and supervision of educational facilities and infrastructure. The role of the teacher in the administration of school infrastructure: involved in planning the procurement of teaching aids, involved in the use and maintenance of teaching aids used by teachers, supervision in the use of practical tools by students.
Design and Implementation of Controller for Vocal Reduction

This paper gives supporter investigations of 7L MLI electrical converter in quality network for pay of vocals. For power stupendous control a numerical exact the board bountiful as another upper symphonious scale back charge than the standard controllers. Symphonious mutilation is that the chief indispensable quality pleasant impediment blending in electrical battery-controlled battery-fueled convertor, the vocals is likewise expelled through friend perfect need of move point. An amalgam appraisal approach increased gold famous move positions that square measure achieved from the hirsute précis idea gismo what is more as neural system. The purposeful system square measure taking care of be actualized in tangle inquire about lab walking stage and to boot the symphonious evacuation ordinary common by and large execution square measure taking care of be assessed.