Reviewerly/exHarmony huggingface dataset:
GRAMMATICAL ERRORS IN STUDENTS’ WRITING: DESCRIPTIVE STUDY ON GRADE 7 STUDENTS

&lt;p&gt;&lt;span lang="IN"&gt;Grammatical error is difficult to be avoided by every learner. Grade 7 students in class observed are smart enough. Yet, they frequently make grammatical errors in the sentences when they write essay. Because of that, analyzing the errors in writing is one of appropriate ways to know student’s ability. In this research, the researchers ask the students to make descriptive text or essay. There are 7 titles of essay that each student can choose. There are only 7 texts that the researchers analyze in which each text represents different title of text. To analyze the texts, the researchers use Corder’s theory which focuses on 4 types of error, namely: (1) Error of Omission, (2) Error of Selection, (3) Error of Addition, and (4) Error of Ordering. The highest percentage of error is Error of omission that takes 45.28%. Error of Selection, Error of Addition, and Error or Ordering follow with 33.96%, 18.87%, and 1.88%. Based on the analysis, the reasons of why the students make errors are: (1) the students do not master grammar in detail, (2) the students forget the grammar rules though they have learnt it, and (3) the students have limited vocabularies. Further studies need to be conducted for more detail findings.&lt;/span&gt;&lt;/p&gt;
Globalization and Technological Innovation: Which Impact on the Rise of Unemployment?

This paper explores the asymmetric nexus between globalization, technological innovation and unemployment within non-linear Autoregressive Distributed Lag (NARDL) framework, Granger causality approach and forecast error variance decomposition technique, covering the period from 2000 to 2018, using quarterly data in Nigeria. To avoid variable omission bias, the study incorporated control variables. The findings showed that both the positive and negative shock of our variables of study indicate varying signs and magnitudes and there is a mixed presence of asymmetries among the nexus, as indicated in the variables for both short and long runs. The results implies that trade globalization, financial globalization and technological innovation biased process innovation contributed to the persistent increase in unemployment rate except technological innovation biased product innovation, which supported the unemployment reduction in Nigeria. These findings were not consistent with existing theories. The results based on the model and empirical data suggest that the authority needs to initiate socially suitable and economic schemes and strategies by ensuring effective and efficient connectivity between globalization and technology via integrating science, technology, research and development. Also, creating an enabling environment that supports and promotes sound and credible government institutions and education including adequate mechanism to ensure optimum utilization of scare resources and avoidance of embezzlement of these limited resources by corrupt officials.
Pseudo-gray-scale halftone gratings for shearing and Hartmann wavefront sensors

Now in use on x-ray beamlines worldwide, shearing interferometry and Hartmann wavefront sensing provide effective feedback for measuring and optimizing high-quality beams. Conventionally, both approaches spatially modulate the beam properties (amplitude or phase) using two-tone, binary patterns, leading to deleterious diffraction effects that must be mitigated. In shearing, the presence of multiple diffraction orders affects measurement near boundaries. In Hartmann, diffraction limits the measurement point density. We demonstrate that the use of pseudo-gray-scale halftone patterns in the diffracting elements can improve the performance of both techniques.
IMPROVING STUDENTS’ WRITING SKILL USING GRAMMALY APPLICATION FOR SECOND GRADE IN SENIOR HIGH SCHOOL

Writing is the most important skill in learning a language. Through writing is a way to express student’s ideas, but most students are still deeply mistaken in spelling, grammar, vocabulary and also punctuation. The one way to fix it is to give the students solution with a tool that can help and guide to show their mistake. This research aim of improving students writing skills using Grammarly application. By using Grammarly students are guided to find out students' errors and how to fix it and improve their writing skills using Grammarly application, especially in second grade in senior high school. This research used a qualitative method through pre-test and posttest. The subject of this research is consists of 32 students in second grade in senior high school. The research finding that’s after using Grammarly application can improve student’s ability in writing and express what their thought and felt. It suggested that students should be confident in conveying their ideas into written form as well as maximizing this Grammarly application to help them find errors in writing and can find the correct one. It is recommended that teachers give more serious attention errors of students in writing because of solving. Keywords: Writing Skill, Grammarly Application
A SonarQube Static Analysis of the Spectral Workbench

The Spectral Workbench is an open-source, community driven software suite to obtain and disseminate spectral data. It consists of a client application that collects spectral readings and a server application that is an online database of spectral data. It is difficult to detect software defects in the Spectral Workbench application. A static analysis tool, SonarQube, was selected to find these defects. Numerous defects were detected and documented. SonarQube will increase the reliability of the Spectral Workbench, which provides numerous benefits including increased confidence in its data and effectiveness which will drive additional number of users for spectral repository data collection.
DESIGNING GOODS SUPPLY AND MARKETING INFORMATION SYSTEM THROUGH SCRUM AGILE DEVELOPMENT METHOD IN MELODI MEGA KENCANA LTD.

Melodi Mega Kencana Ltd. was the business entity engaged in the field of selling daily needs through the sales process such as buying dozens or score of goods and selling goods in a small quantity. Melodi Mega Kencana Ltd., currently already had several consumers. Melodi Mega Kencana Ltd., still used conventional way for the marketing processes and recording stock items. This became the problems occurred repeatedly in Melodi Mega Kencana ltd. e.g., 1) a incompatibility between number of incoming goods, outgoing goods, and available stock items; 2) the difficulties in making good reports sales and inventory reports in the beginning of the week and in the end of each month. The objective of this study was designing the goods supply and marketing information system in Mega Kencana Melody Ltd. The method of this study was the scrum agile development method to create a good system in accordance with the users' wishes. The Scrum method had a flexible, evolutionary framework, and reliable in solving complex adaptive problems and generated creativity and productivity from software design. With this system, it was expected to facilitate the Melodi Mega Kencana Ltd., in the process of marketing products to customers and improve the process of making reports and managing stock items so that there were no repeated errors in changing the number of goods with the number of incoming and outgoing goods. Keywords: Scrum, Marketing, stock of goods
OntoJob Query Processor: An Ontology Driven Query Processing Method in Jobology Information System

There are a large numbers of jobsites/job portals that provide information about employment on the internet.These websites facilitate employers to post job lists.Job seekers go through those job posts and apply for the same.But, due to the availability of dozens of job portals, job seekers are unable to concentrate on the efforts to see the best outcomes.The overall objective of the paper is to develop a prototype system that provides a platform for the job seeker to access all the job lists from various job sites on a single click, at the same place with respect to the fired query.For this purpose, an ontology driven information system named as Jobology is discussed that integrates various Jobboards using the approach of ontology alignment.The system takes user's query in keyword format and in response generates a set of SPARQL queries.These SPARQL queries are then fired on their respective ontologies and in turn they yield the results.These results are merged and finally presented to user.As a contribution of this paper, we have proposed an "OntoJob" Query processor that takes job seeker query in keyword format and in turn generates a set of SPARQL queries with respect to every jobboard.The proposed approach is implemented in JAVA using OWLAPI on window platform.To evaluate the proposed work, comparison analysis between Jobboards, proposed ontologies and integrated system was performed.The results came out to be very satisfactory.
Web-Based Job Training Report Guidance System at SMKN 2 Kraksaan

Implementation of Field Work Practices (PKL) is an effort that can be made by SMK to continue to produce graduates who can compete in the business world and the industrial world (DU / DI). The government policy regarding learning at / from home during the Coronavirus Disease 2019 (COVID-19) pandemic has an impact on the reporting process at SMKN 2 Kraksaan. This study aims to build a report guidance system using server side-based web technology. This system was built using a waterfall model and PHP (PHP Hypertext Prepocessor) programming. System design tools used are Flowmap Diagrams, Data Flow Diagrams, and Entity Relationship Diagrams. The black box test results show that the output of the system is in line with expectations. User response to the system using a questionnaire resulted in a feasibility percentage of 83.6% with a very feasible category interpretation. It can be concluded from the test results that the Field Work Practices report guidance system is in accordance with user needs and is very suitable for use.
Sistem Informasi Akademik Berbasis Web pada Lembaga Bimbingan Belajar

The Cendika Cilacap Tutoring Institute is a learning institution that provides learning programs for elementary, junior high and high school students. In Cendika Cilacap, academic data management is still done by means of books and has not been computerized, such as student registration data, delivery of value information, delivery of schedule information, and reports to leaders are still done manually. The problem that arises is that the increasing number of academic data, so there must be a system that can accommodate these data properly and can improve services. This study aims to develop a Web-based academic information system that can assist in managing academic data, student registration process, delivery of value information, delivery of schedule information and reports to leaders. This application was developed with the waterfall method. Based on the results of questionnaire testing with 10 respondents, it was enough for 4%, both 32%, and very good at 64%, that this application can help and make it easier to manage academic data and solve problems that occur in Cilacap cendika.
Research on College English O2O Teaching Mode Based on Mobile Learning Terminal

With the rapid development of information technology and the advent of the Internet era, people's traditional lifestyles have changed. The O2O (online + offline) teaching mode adopted by modern education has also changed the original teaching method. The popularity of smart phones and mobile terminals has led to a trend of diversified development in the way of learning English. Especially in recent years, there have been more studies on the integration of mobile learning into college English learning. College teachers should make full use of modern information technology to innovate teaching methods, and combine mobile intelligent terminals with online + offline models to realize a new way of interactive teaching. This article analyzes the online and offline learning methods based on mobile intelligent terminal, and provides solutions to the connection problems that occur in practice, that is, making use of online and offline learning resources to continuously explore, innovate and cultivate new teaching models.
SECTION 230: THE VALYRIAN STEEL FOR WEBSITE OPERATORS, AND WHY A TAX CREDIT IS THE BEST SOLUTION TO A SAFER INTERNET

The most polarizing statute regulating the internet is § 230 of the Communications Decency Act. Critics of § 230 do not like that the statute provides broad immunity to website operators when third parties post on their sites, while advocates for § 230 market the statute as promoting free speech on the internet and preventing website operators from being subject to endless liability. Critics view the statute as the sole problem, and the advocates view § 230 as the savior for these website operators. But the problem of hate speech and hurtful content online is immense and requires expensive investment by these companies to mitigate misinformation and harmful content. We need to incentivize companies to invest in content moderation, tools, and personnel that will flag and remove dangerous content while being careful to not scare these companies with potentially endless liability and overwhelming costs. With so many tech companies struggling to achieve profitability, the solution lies in making content moderation less expensive in the short-term. Website operators should get a tax credit in the short-term to help bear the brunt of initial investments into content moderation. Once website operators have established artificial intelligence to flag and remove dangerous content, they will become less reliant on the tax credit, as they have established the essential assets needed to mitigate dangerous speech on their platforms. If companies are incentivized to invest in content moderation, rather than being scared with the potential of endless liability, we will be closer to achieving our goal of creating safer platforms for internet speech.
DEVELOPMENT OF E-LEARNING USING MOODLE APPLICATION ON MODEL PEMBELAJARAN SUBJECT IN EDUCATION TECHNOLOGY MASTER DEGREE UNIVERSITY OF MULAWARMAN

This research was conducted to develop E-Learning Instructional Media using Moodle on Model Pembelajaran subject for Education Technology students of Master’s Degree in Mulawarman University. The purpose of this research are to develop the E-learning procedure development using Moodle on Model Pembelajaran subject for Education Technology students of Master’s Degree in Mulawarman University. This type of research is the Research and Development using ADDIE development model. This research is experimented tothe 2017 generation Education Technology Master’s Studentin University of Mulawarman. The data are validated by media experts, content experts, individual testing, small group testing and field tests using a questionnaire,thenthe data were analyzed with qualitative, quantitative and another statistical analysis methods. The research finding shown an instructional product using E-learning.
The Development of Professional Identity and Professional Mentality of Youth

This article represents a theoretical analysis, systematization and generalization of the views of various scholars on understanding the content, structure and development of professional identity and professional mentality of university youth in the process of vocational training. It is proved that the current social, political, economic situation has led to the blurring of the guidelines necessary for both personal and professional self-determination, and as a consequence, the problem of finding professional identity is extremely important for modern young people. Professional identity is considered as a dynamic creation that includes a well-established, consistent, real and ideal professional image of the self, providing self-realization, development, inner integrity, personality determination, adequacy and stability of its self-concept regardless of situation changes, identity with profession and professional community, mature solution of professional tasks. It is shown that the content-forming goal of professional education, the result of professionalization is the development of a special professional mentality of the future specialist, which determines the peculiarities of perception of professionally significant objects, professional social attitudes and values of the individual and becomes a special form of their life and deep existence.
Survei Penggunaan Tensorflow pada Machine Learning untuk Identifikasi Ikan Kawasan Lahan Basah

Wetlands are habitats commonly used for fish cultivation. South Kalimantan is one of the provinces that has a wetland area, which is 11,707,400ha, there are 67 rivers and an estimated 200 species of fish. This shows the abundant wealth of fish treasures and economic value. The study of fish identification is an important subject for the preservation of wetland fish. In the field of artificial intelligence, identification can be done using Machine Learning (ML). There are many libraries, a collection of functions that can be used in ML development, one of which is Tensorflow. In this paper, we survey a variety of literature on the use of Tensorflow, as well as datasets, algorithms, and methods that can be used in developing wetland area fish image identification applications.The results of the literature survey show that Tensorflow can be used for the development of fish character identification applications. There are many datasets that can be used such as MNIST, Oxford-I7, Oxford-102, LHI-Animal-Faces, Taiwan marine fish, KTH-Animal, NASNet, ResNet, and MobileNet. Classification methods that can be used to classify fish images include CNN, R-CNN, DCNN, Fast R-CNN, kNN, PNN, Faster R-CNN, SVM, LR, RF, PCA and KFA. Tensorflow provides many models that can be used for image classification, including Inception-v3 and MobileNets, and supports models such as CNN, RNN, RBM, and DBN. To speed up the classification process, image dimensions can be reduced using the MDS, LLE, Isomap, and SE algorithms.
PENANGGULANGAN BENCANA BANJIR DI SUNGAI BATANG MERAO PADA BADAN PENANGGULANGAN BENCANA DAERAH KOTA SUNGAI PENUH

Analysis of Flood Disaster Management in Batang Merao River at Sungai Penuh Regional Disaster Management Agency. Flooding is an event where land which is usually dry (not swampy areas) becomes inundated by water, this is caused by high rainfall and topographic conditions in the form of lowlands to sunken areas. In addition, the occurrence of flooding can also be caused by runoff which overflows and its volume exceeds the drainage capacity of the drainage system or river flow system. The occurrence of flood disasters is also caused by the low ability of soil infiltration, so that the soil is no longer able to absorb water. Flooding can occur due to rising water levels due to rainfall above normal, changes in temperature, embankments / dams that break, fast melting snow, obstructed water flow in other places. The purpose of this research is to find out how the Flood Disaster Management in Batang Merao River in Sungai Penuh City Regional Disaster Management Agency. This study uses a qualitative approach that examines an object of research by studying in its entirety and in depth rather than looking at the relationship of two or more variables, where the results of the study will be processed based on the interpretive researcher and described in a descriptive form. Data obtained through field interviews with 7 informants namely 1 key informant and 6 ordinary informants. Flood mitigation consists of prevention and mitigation, preparedness, emergency response and rehabilitation and reconstruction. Based on the existing work program, all activities have been carried out by the Sungai Penuh City Regional Disaster Management Agency in flood mitigation in Sungai Merao River Sungai Penuh which is guided by Law Number 24 Year 2007.
Deep CNN Prior Based Image Reconstruction for Multispectral Imaging

Spectral imaging is a widely used diagnostic technique in various fields such as physics, chemistry, biology, medicine, astronomy, and remote sensing. In this work, we focus on a multi-spectral imaging technique with a diffractive lens, which relies on computational imaging, and we develop a novel image reconstruction method that exploits convolutional neural networks. To reconstruct the spectral images from the measurements of the imaging system, the inverse problem is first formulated as a proper optimization problem with regularization. This optimization problem is then divided to subproblems by using the alternating direction method of multipliers, and the subproblem corresponding to a denoising problem is solved with a learning-based convolutional denoising neural network instead of an analytical method. The obtained results illustrate that the proposed method can achieve promising reconstruction performance.
A BRIEF IDEA ON THE HOMOMORPHIC ENCRYPTION FOR DATA SECURITY

We have stepped into a world of undeniable data breach fatigues. Thus to ensure data security, encryption schemes come into action, one such highly talked about encryption nowadays is “Homomorphic Encryption” which is mainly used to compress data for their easy storage involving secure transmission and processing on cloud without compromising on privacy since special keys are needed for primary encryption and final decryption. Homomorphic encryption allows operation on two ciphertexts to give an encrypted (coded) result which when decrypted (decoded) maps to result of the operation, if it would have been on plaintext. It can be either multiplicative like the RSA or additive like the Pallier cryptosystem. Here we also focused on ideal lattice based public key encryption scheme which is almost bootstrappable. Multihop homomorphic encryption also has vital roles to play here. A strong homomorphic encryption is one which is resistant to all attacks using various algorithms. Thus our main objective is to allow encrypted computing on data, minimize memory usage and to save energy and time. Our presentation will try to focus on the researches done so far and also on the success rates of the scheme which is affecting the real world.
Visual Scaffolding and Intensive Reading Strategies Based on Gender

The objectives of this study are to find out whether or not; 1) there is a significant increase in students’ reading comprehension achievement based on after they are taught by using visual scaffolding strategy and intensive reading strategy and those who are not. 2) there is a significant contribution of visual scaffolding strategy and intensive reading strategy towards reading comprehension achievement of the high, average, and low achievers? This reserach used factorial experimental designs. These designs are essentially modifications of either the posttest-only control group or pretest-posttest control group designs. The sample was the students of PGRI University of Palembang. Two classes were chosen in which first class was experimental with male students was applied and the second was the second experiemnetal group trained by intensive reading strategy with the female students. The results showed that First, Visual scaffolding and Intensive Learning Strategy technique affected the students’ reading achievement of PGRI University. The result of t independent test was the mean of experiment group higher than mean of control group. It could be concluded, experiment group and control group were significantly difference and the visual scaffolding and Intensive Learning Strategy technique was effectively to use in improving students’ reading achievement. The Second, there was an interaction effect of visual scaffolding and intensive learning strategy technique and students’ learning achievement toward the students’ reading achievement.