Reviewerly/exHarmony huggingface dataset:
ANALISIS KINERJA ALGORITMA C4.5 DAN NAÏVE BAYES DALAM MEMPREDIKSI KEBERHASILAN SEKOLAH MENGHADAPI UN

The national exam (UN) is one of the determinants of student graduation, both elementary school, junior high school and even high school. There are many businesses that are carried out by schools to prepare their students to face national examinations. In fact almost all schools provide material deepening to their students for subjects tested at the national examination. Therefore, this study was conducted to determine the level of success of the school in preparing students in facing national examinations. The method used is a decision tree with C4.5 algorithm and naïve Bayes algorithm. From the results of the study, the results of the accuracy of the naïve bayes algorithm were as big as 95,50% , while accuracy using the c4.5 algorithm is equal to 78,50%. Then it can be concluded that the predictions generated from the naïve bayes algorithm are better compared to the c4.5 algorithm .
THE EFFECTS OF USSR STRATEGY, METACOGNITIVE STRATEGY, AND READING HABIT ON READING COMPREHENSION ACHIEVEMENT

Reading is one of the language skills which has an important role for the people because by reading people can get much information which they need. However, reading is not a simple activity. English reading is still a challenging task for Indonesian students. Therefore, a certain strategy may be used for improving students’ reading achievements. Using the USSR and Metacognitive strategies, this study aimed at improving the students’ reading comprehension achievement and finding out whether or not there was interaction among both strategies and students’ reading habit toward reading comprehension achievement. The population of this study is the tenth graders. Sixty tenth graders were selected as the sample and equally divided into experiment group 1 and experiment group 2. Next, both groups were tested before and after the treatment. Using paired sample t-test statistics, the results showed that the students’ reading comprehension achievement was significantly improved. The result of two way ANOVA showed that there was interaction (0.009).
Legal Counter of Social Media Crimes (Comparative Analyasis Study)

This research aims to investigate the patterns and forms of crimes committed through social media, as well as to analyze the impact of such crimes on criminal legislation in the UAE, Jordan, and Saudi Arabia.The researcher used a descriptive analytical approach to study the nature of crimes committed through social media and furthered the analyses with a comparative method to study the legislative regulations of these crimes by comparing the legislations of this study with each other and comparing them with other legislations.The results of the study show that social media applications constitute an ideal environment for crimes against morality, individual privacy, society, and state security.Therefore, social media crimes are considered as a special type of electronic crimes that cause moral or psychological harm/detriment to both individuals and society, or crimes designed to cause an effect that leads to committing an illegal act.The results also show that there is a difference between real and virtual reality crimes in term of detriments on individuals, society, and state security as a consequence to the change of human behaviour while entering the virtual world of social media.This evolution in crimes is further analysed in this study, and the study explores the possibilities to eventually reduce the gap between ethical and legal penalties in legal systems.
DYNAMIC VIRTUAL MACHINE MIGRATION USING RATIO-BASED METHOD

Cloud computing provides various services over the internet and its increasing day by day.Given the growing demands of cloud services, it requires a lot of computing resources to meet customer needs. So, the addition of energy consumption through cloud computing resources will increase day by day and become a key obstacle in the cloud environment.In cloud computing,data centers consume more energy and additionally release carbon dioxide into the atmosphere. To reduce energy consumption through the cloud datacenter, energy-efficient resource management is required. In this paper a specific technique for performing virtual machines through datacenter is given. Our goal is to reduce power consumption on the datacenter by reducing the host running in the cloud datacenter. To reduce power consumption, schedule the incoming task such a way that all the resources like ram,cpu(mips) and bandwidth utilize in equal weightage.Then after if any host is over utilized then migrate one or more vm from that host to another host as well as if any host is underutilize then migrate running vm of that host and switch off the under loaded host to save energy.
Transformation of Cultural Values in The Novel Di Bawah Langit yang Sama by Helga Rif (Literary Anthropology Approach)

This study aims to obtain information about transformation of the cultural value in the novel titled Di Bawah Langit yang Sama by Helga Rif. This research use qualitative descriptive method based on anthropology of literature approach. This research was conducted from January to July 2019. In this study, there is a focus that is studied, which is the form transformation of cultural values, while the study's sub-focus includes (1) preservation cultural values ​​and (2) revolution in cultural values. As for identifying and raising anthropological features in the novel using Koentjaraningrat theory which includes (1) human life equipment, (2) occupation, (3) social system, (4) language system, (5) arts, (6) knowledge system, and (7) religious system. In the novel entitled Di Bawah Langit yang Sama had been found the elements of transformation of cultural values ​​as much 103 data. Preservation of cultural values are 75 data, meanwhile the changes in the cultural values are 28 data. The most dominant data on maintaining cultural values ​​is an element of human life equipment and social systems. Meanwhile, the most dominant data on changes in cultural value is an element of the social system. The results of this study have implications for 2013 Learning Curriculum 2013 Revision 2018 in grade XII, KD 3.8 interpret the author's view of life in novels that are read and KD 4.8, which presents the results of interpretation of the views of the author either verbal or scripted.
A Method for Randomly Hiding Secret Encrypted Data in Images using Cellular Automata

The present research was aimed to design and implement an algorithm that combines cryptography and steganography to achieve a higher level of security.The algorithm hid encrypted text into color images in a scattered manner based on randomly generated numbers.The rules of cellular automata were used to encrypt the secret text and generate random numbers.Each character of a secret text was treated as a cellular automaton and the rule 153 was used to encrypt it with the help of a secret key.The encrypted text was hide in the red plane of the cove image after generating random numbers by applying rules 30, 60, 90 as a hybrid cellular automata using the same secret key as an initial seed.The results were tested on a number of images that shown that the algorithm hide the secret text in the images without distorting it clearly, the algorithm also retrieved the entire secret text without any loss.It was concluded that the use of hybrid cellular automata is better in generating random numbers than using uniform cellular automata.It was also concluded that applying the retrieval algorithm with any minor changes in the value of the secret key affects the output of the decryption and the output of random number generation and causes a significant difference in the retrieved text.
Rancang Bangun Aplikasi Game Virtual Reality Berbasis Android Bertema Petualangan

Technology is one part that can not be separated from human life. Various fields in human life have been greatly welcomed by technology, computer technology first. Virtual Reality (VR) is a new way to explore the virtual world. With virtual reality, the user seemed to be entering a new environment in the virtual world. The vastness of the virtual world can provide many advantages to produce a variety of fun entertainment. "My Journey My Adventure" is a game with a genre of first person shooter genre (FPS) that can be played by all people spent to be able to survive with modest stamina and a short time. This application is created using 3D unity and SDK as the main software. The stages in this research include discussing problems, initial planning, design and design, testing and implementation. And for system modeling languages using UML (Unified Modeling Language). This application was created as a medium of entertainment for each player by using Virtual Reality (VR) which allows players to experience more real difficulties such as those in games and introduce virtual reality technology. System testing shows that not all Samsung smartphones can activate this virtual reality game, and also on the application quality test that shows it. This application has a weight of 44.7 which corresponds to the "very good" category.
Secure Mobile App using NFC Authentication to Access the Health Records in Cloud

Electronic Medical Record (EMR) frameworks have been receiving consideration where medical practitioner few of them additionally have been making use of such frameworks.The framework is easy to use and secure in administrations where numerous new ways have been put to use so as to get patient medical services data.For Patient's quality care, portable medical system development and implementation is the need.With the use of Near Field Communication (NFC), a unique mobile framework is developed with the use of basic architecture of m-health services.The challenge of m-health care services is to move patient sensitive data to the cloud, however, many organization are of the opinion that the cloud is not safe and secure compared to their own respective data center, hence we are using Cryptography.Cryptography is not just science of putting into use of complex mathematical concepts, algorithms and logic to plan solid techniques to shroud information called encryption, yet in addition to retrieve the actual or original information back which is known as decoding or de-cipher.The aim and function of Cryptography is to send data between sender and receiver in a way that is secure, where an unauthorized person should not gain access to the data hence we need a strong, well defined algorithms, secure keys to encrypt and decrypt the data following a definite process.I would like to present an idea of DNA Deep Learning Cryptography which is characterized as a method of hiding information regarding DNA grouping.
Developing English Rubric for Describing the Student’s Basic Language Skill Competence in Student’s Report Card

As a subject of learning, English also needs to be considered for its aspects. One of them is the assessment. Assessment of English should cover all language skills. The content to be taught involves this implicitly. A more detailed and uniqueness of the scores given to each student should reflect the student’s achievement in a certain cycle of learning. However, the way of reporting a student’s achievement doesn’t really imply all of the aspects. It is only reported as a single score with a very limited description verbally. This research, through its methodology, gathers some data related to the lack of student’s score description, starting from the parents’ questions about it until some experts’ comments on it. The answer is about reporting student’s achievement in the form that involves the aspects of teaching learning English in the classroom using a certain tool. This tool is made using some parameters including the basic competence, indicator of it, score range and the rubric. The final result is a complete description of student’s score for each cycle of language skill and description about the scores. This way, it is expected stake holder and the student can have a complete explanation of their assessment distinctively.
Image Matting Based On Deep Learning And Image Dissection

Alpha matting is an image processing task designed to separate foreground and background images. Lots of solutions were proposed to attach it. However, there are few matting solutions by deep learning. In this paper, a matting algorithm was proposed, which was based on deep learning and ROF model dissection. We established an end-to-end network to get the alpha matte. In addition, the image was dissected into two parts and put in the network, to get a good result in matting task. The network is based on VGG16 and the images was dissected into cartoons and textures, which brought an excellent result.
Desktop Virtualization with Cloud Computing

In today's era Desktop Virtualization is depreciated and is no longer used in the corporate world and institutions.One of the major problems we face these days is of storage and security issue which can be resolved with the integration of cloud computing.In this paper, we have integrated Cloud Computing with Desktop Virtualization.In our research and project, we have deployed a cloud using openstack along with Desktop Virtualization.This paper aims for the security and cost reduction for institutional purpose.
E-texts or p-texts? Evidence from reading comprehension tasks for Polish teenage learners of English

&lt;p&gt;Research investigating differences between reading comprehension of electronic and paper texts has so far provided conflicting evidence. Thus, the present paper aims to examine the impact of the text source on the quality of reading comprehension of Polish intermediate learners of English. In a pre-test the participants representing a similar level of this subskill were selected and divided into two groups. In the study proper, the control group read a paper version of the text while the treatment group did it using a computer screen. Although the participants’ results were better in the case of e-texts than of p-texts, these differences were not statistically significant.&lt;/p&gt;
Perancangan Ulang Tampilan Antarmuka Website Tempat Wisata Setu Babakan

The development of information technology has penetrated the world of tourism, one of which is the need for websites as a medium for finding tourist attractions and planning trips. One tourist site that has an official website is the Betawi Cultural Village Setu Babakan, a tourist place where visitors can find things related to Betawi culture such as traditional houses, arts, and food. based on a User Acceptance Test study for visitors to Setu Babakan, the website has not been maximized in providing detailed information related to tourist attractions, and does not yet represent the Betawi culture. For this reason, a website redesign is required using the usecase diagram method. The results of this study are in the form of usecase diagrams, wireframes and website user interfaces.
Magdalena Viola Cundawan PEMANFAATAN LIMBAH JEANS UNTUK BAHAN BARANG FUNGSIONAL YANG DAPAT DIGUNAKAN SEHARI – HARI

This scientific journals aims to show the benefits of jeans waste that can be used for materials that can beused for everyday use. This scientific journal is based on previous research by making alternative productdesigns and prototypes ranging from branding to goods that are ready to be sold and marketed. The productdeveloped is called U-jeans and consists of several types of designs and functions that are all made from usedjeans. This research helps researchers find solutions to reduce jeans waste by product design that attractsconsumers’ attention. The subjects in the previous research were teenagers and the subjects of this scientificjournal were students and the general public. The data collection technique was carried out by survey andobservation while the data analysis technique was carried out using the service learning method with threestages namely pre-production, production and post-production. The results of the research and scientificjournal writing are that researchers gain knowledge and experience that can be disseminated so that they canform a community in the processing of used jeans waste not only by making into items that will be usedprivately but into goods that have functions and aesthetics to be marketed.
Breast Cancer Computer-Aided Detection System based on Simple Statistical Features and SVM Classification

Computer-Aided Detection (CADe) systems are becoming very helpful and useful in supporting physicians for early detection of breast cancer.In this paper, a CADe system that is able to detect abnormal clusters in mammographic images will be implemented using different classifiers and features.The CADe system will utilize a Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) as classifiers.Adopting mammographic database from Mammographic Image Analysis Society (MIAS), for training and testing, the performance of the two types of classifiers are compared in terms of sensitivity, specificity, and accuracy.The obtained values for the previous parameters show the efficiency of the CADe system to be used as a secondary screening method in detecting abnormal clusters given the Region of Interest (ROI).The best classifier is found to be SVM showed 96% accuracy, 92% sensitivity and 100% specificity.
RESEARCH ON SAMPLING INSPECTION OF NATURAL RESOURCES IN THE BIG DATA ERA

Abstract. Technologies such as satellite remote sensing, global positioning, laser scanning, airborne radar, tilt photography, and drones are rapidly developing. Spatial data is exploding at an unprecedented rate every day, in a short period of time. The elements of natural resources products vary, and sampling inspection is generally used to evaluate the quality level of a lot of products. The sampling inspection is based on the rigorous probability theory. Samples are randomly taken from a lot of products according to the sampling scheme for inspection, and the quality of the lot is represented by the quality status of a small number of samples. In the small data era, it can achieve quality inspection of natural resources products with the least labor cost and the smallest number of samples. However, how to select a good sample is a difficult problem. In theory, using any set of sample data, we can not get the exact total truth value, and the sampling error is inevitable.This paper gives an overview of the basic rules of sampling inspection, including the basics of mathematics, basic principles and selection of sampling schemes. It introduces in detail the parameters, characteristics and methods of a sampling inspection, and uses the surveying and sampling scheme adopted for Natural Resources Products inspection. For example, it analyzes the incompatibility of the risk of the producer, the user, the inspector and the sample size selection, and puts forward suggestions for improving the sampling scheme of natural resources products.
Enriching Domain Ontologies with Knowledge-based Semantics

Both association rules and ontologies are domain-based knowledge. However, the first is unexpected discovered knowledge from databases, while the second is a priori knowledge. In this paper, based on a generic meta-schema as common referential and theoretical foundation, we show how a set of computed and pruned association rules can be useful for enriching a domain ontology. To this end, the meta-schema is scanned with the itemsets appearing in each association rule. Then, according to the formal links between the concepts or the attributes involved, a semantic-based check constraint is built. As a result, the ontology and the database are continuously tuned with new semantics.
The Impact Of Social Media On Fraternal Organizations: Ethical Concerns

This case study concerns how the personal behavior of students involved in fraternal organizations is depicted in social media, and how that behavior impacts the organization and its image. The legal and ethical implications of individuals’ behaviors in social media has become a major issue for many organizations. This case follows an example of a fraternal organization and how the governing body must handle the information members post on social media. The mission of many fraternal organizations is to champion or contribute to specific causes. Members’ social media postings may reflect poorly on the organization and may not always align with the principles of the organization. This case examines how those postings impact the organization, and what it can do to mitigate the effects. The ethical issues that can affect the actions of both the governing body and the members are probed throughout the case.
Penerapan Jaringan Saraf Tiruan Dalam Memprediksi Gizi Balita Pada Puskesmas Siantar Utara Kota Pematangsiantar

The North Siantar Health Center's Puskesmas is a health sector engaged in public health sciences, at the Office of the North Siantar Sub-District of Pematangsiantar City conducted research with the Nutritional research variables under five months of age. attacked by various diseases ranging from external diseases and internal diseases. Artificial Neural Network is a method of grouping and separating data whose working principle is the same as Human Neural Networks, this Science processes systems and structures so that they become information.
An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction

Previous work has shown that machine learning algorithms lend themselves to clinical decision-making and are a valuable tool for physicians. For clinical data, it is often necessary to assign multiple labels to a patient record by choosing from a large number of potential labels. A key problem in learning from multi-labelled data is how to exploit the information contained in the correlations between labels. The hypergraph-based multi-label learning method learns from data by exploiting the spectral property of the hypergraph that encodes the correlation structure of labels. However, the problem with this method is the difficulty with which interpretations can be made. This is mainly due to its inability to recognize the importance of key features in the original feature space. Moreover, it is hard to comprehensively capture the complex structure of the correlations between labels. To overcome these difficulties and improve interpretability, we propose an $l_{21}$ -norm regularized Graph Laplacian multi-label learning to perform feature selection and label embedding simultaneously. In-depth experimental studies, using the publicly available Medical Information Mart for Intensive Care (MIMIC-III) database, validate the effectiveness of our approach.