Reviewerly/exHarmony huggingface dataset:
Expert System Diagnosing Diabetes Using the Web-Based Dempster Shafer Method

Diabetes is a very dangerous disease because diabetes can attack other organs of the body so that it can cause death. This is due to the lack of technology-based information that can help determine the symptoms of diabetes. With the limited number of diabetes experts, an expert system is needed to diagnose diabetes. The method applied to the system is the Dempster Shafer method, by determining 17 symptoms and 3 types of disease, as well as compiling a rule base in determining the relationship of each symptom so that the results in the calculation achieve 100% accurate results. This method has 5 steps in its completion. The results showed that the Dempster Shafer method could be used to diagnose the symptoms of diabetes. So that the existence of this system can help the wider community in finding information about the symptoms of diabetes.
Robust Interactive Method for Hand Gestures Recognition Using Machine Learning

The Hand Gestures Recognition (HGR) System can be employed to facilitate communication between humans and computers instead of using special input and output devices. These devices may complicate communication with computers especially for people with disabilities. Hand gestures can be defined as a natural human-to-human communication method, which also can be used in human-computer interaction. Many researchers developed various techniques and methods that aimed to understand and recognize specific hand gestures by employing one or two machine learning algorithms with a reasonable accuracy. This work aims to develop a powerful hand gesture recognition model with a 100% recognition rate. We proposed an ensemble classification model that combines the most powerful machine learning classifiers to obtain diversity and improve accuracy. The majority voting method was used to aggregate accuracies produced by each classifier and get the final classification result. Our model was trained using a self-constructed dataset containing 1600 images of ten different hand gestures. The employing of canny's edge detector and histogram of oriented gradient method was a great combination with the ensemble classifier and the recognition rate. The experimental results had shown the robustness of our proposed model. Logistic Regression and Support Vector Machine have achieved 100% accuracy. The developed model was validated using two public datasets, and the findings have proved that our model outperformed other compared studies.
Mineral Exploration in Amapa - Targeting using Magnetic and Gammaspectrometric Regional Survey

Mineral exploration in Amapá is being conducted since the mid of last century with good results, the Serra do Navio manganese mine have produced for around 50 years and now have been closed.More recently, there are several junior companies exploring for Iron Ore in this state.Amapá is a state located in the northern region of Brazil.It is the second least populous state and the eighteenth largest by area.Located in the far northern part of the country, Amapá is bordered clockwise by French Guiana to the north, the Atlantic Ocean to the east, Pará to the south and west, and Suriname to the northwest.The project presented in this study is located in the Center-East of the State, distant just 225 Kilometers from the capital Macapá.Due to the complete lack of information on these targets, the decision was made to start all the work through geophysical studies and 3D modeling of the Magnetic Anomalies from the XYZ data of the Geophysical Project 1069, freely provided by CPRM .We have reprocessed the data using the new tools available, like the Magnetization Vector Inversion (MVI) and Self Organizing Maps (SOM) to identify exploration targets and we have identified the potential of some projects that are already being explored and new ones with promising results that were verified and are being confirmed by geological mapping.The agreement of the MVI with the field results were exceptionally good and have encouraged us to continue using those techniques and do some higher resolution inversions to follow up work in the highly promising targets obtained by the processing and interpretation of the area.The geological mapping is being conducted in a highly favorable area already confirmed by work in the field that will allow us to program follow up surveys.
The Effect of Student Team Work Learning (STWL) towards Students’ Reading Comprehension

This research was aimed at finding out whether or not Student Team Work Learning Strategy (STWL) has positive effect on students’ reading comprehension. The research was pre experimental with one pre-test post-test design. The sample of the study was second grade students of MA Nurul Muhsini Jomang Batu Jai Lombok Tengah which consisted of one class 30 students. The instrument used was reading test inthe form of multile chose test and objective test which were consited of 25 items. The score was analyzed by using descriptive and inferential analysis. Descriptive analysis was used to describe mean, mode, median, and standard deviation of group, and inferential analysis was used to describe the value of t-test for comparison between t-table. It was showed that the value of t-test = 5.411 was higher than the value of t-table = 1.692. Alternatively, using Student Team Work Learning Strategy has positive effect on students’ reading comprehension at second grade students of MA Nurul Muhsini Jomang Batu Jai Lombok Tengah.
File Compression Application Design Using Half Byte Algorithm

The need for large data storage capacity seems increasingly important. This need is caused by the data that must be stored more and more. The storage is not allocated in one place only. But they will also store data or files elsewhere as data backups. How much storage capacity must be provided to hold all the data. Half Byte algorithm is one of the data compression algorithms. The Half Byte algorithm utilizes four left bits that are often the same sequentially especially text files. When the first four bits of the character are received in a row seven or more times, the algorithm compresses the data with marker bits, then the first character of the same four-bit series is followed by the last four-bit pair of the next series
THE UTILIZATION OF ANIMATION VIDEO IN NARRATIVE TEXT WRITING CLASS: AN EXPLORATION OF STUDENTS’ PERCEPTIONS

&lt;p&gt;The utilization of animation video as a strategy based on CALL (Computer-Assisted Language Learning) approach has been implemented by English language teachers, practitioners, and facilitators due to its enjoyable and meaningful impacts on students’ learning. This present study aimed to describe the students’ perceptions on utilizing animation video in English writing class focusing on narrative text. Qualitative research approach, particularly a case study design was employed to conduct this study. To collect the data, the researcher used questionnaire, interview, and documentation which were analyzed with descriptive statistics and Miles and Huberman theory. Twenty-eight students were recruited as the participants in this study, however only three were invited to the interview session which was conducted to deeper explore their perceptions of the animation video utilization. The results revealed that there were three main findings which tended to be positive perceptions, namely: 1) enthusiasm in the use of animation video as a learning media, 2) better comprehension of the story which helped them to portray the concept easily, to acquire more vocabulary, to organize the generic structure, and to convey the moral lesson, and 3) students felt motivated to write narrative text properly. From those results, this study concludes that the utilization of animation video in narrative text writing class has given great contributions for the students’ learning. This study suggests that the use of animation video be practiced in English language teaching learning process, particularly in the teaching and learning of narrative text writing. &lt;/p&gt;
Positive Classroom Design through Social-Emotional Learning: Building a Community of Learners

There is a direct relationship between meeting the needs of our students through providing a positive learning environment that is rich in social and emotional learning and building a community of learners who want to be engaged in their learning. Students who participate in social and emotional learning in the classroom are able to practice self-control, self-management, responsible decision-making, relationship skills, and social awareness (Casel, 2020). Social and emotional learning activities and lessons help teachers to meet the basic needs of their students in order for them to thrive in their learning environment. When basic needs are met and social-emotional learning competencies are achieved, students feel a sense of community in their classroom. When students feel a part of a positive environment, behavior decreases, and engagement increases. The article is based on a review of the literature and the personal experiences of one of the authors.
Quantum computation with charge-and-color-permuting twists in qudit color codes

Twists are defects in the lattice which can be utilized to perform computations on encoded data. Twists have been studied in various classes of topological codes like qubit and qudit surface codes, qubit color codes, and qubit subsystem color codes. They are known to exhibit projective non-Abelian statistics, which is exploited to perform encoded gates. In this paper, we initiate the study of twists in qudit color codes over the odd prime alphabet. Specifically, we present a systematic construction of twists in qudit color codes that permute both charge and color of the excitations. We also present a mapping between generalized Pauli operators and strings in the lattice. Making use of the construction, we give protocols to implement generalized Clifford gates using charge-and-color-permuting twists.
Implementation of the Breadth First Search Algorithm in the Darkness Maze Game Based on Desktop Intelligent Agent

This research was developed with a multimedia development stage consisting of 6 stages, namely Concept, Design, Material Collecting, Assembly, Testing and Distribution. Analysis of system design using UML (Unified Modeling Language) which consists of Use Case Diagrams, Activity Diagrams and Sequence Diagrams. In the development of this 3D game using the Unity Engine as software designed for the creation and development of video games assisted by typing some coding programs. The test method uses Black-Box testing and Beta Testing. Testing and Distribution (Distribution). Analysis of system design using UML (Unified Modeling Language) which consists of Use Case Diagrams, Activity Diagrams and Sequence Diagrams. In developing this 3D game using the Unity Engine as software designed for the creation and development of video games assisted by typing some coding programs. The test method uses Black-Box testing and Beta Testing. Testing and Distribution . Analysis of system design using UML (Unified Modeling Language) which consists of Use Case Diagrams, Activity Diagrams and Sequence Diagrams. In developing this 3D game using the Unity Engine as software designed for the creation and development of video games assisted by typing some coding programs. The test method uses Black-Box testing and Beta Testing. The final results of this study can be applied with the help of typing coding so that the path points that have been created can provide information about adjacent paths so that they can find an exit path.
The Use of Electronic Information and Transaction Law as a Police Social Engineering Tool to Maintain Homeland Security Stability from Hoaxes

With the development of the use of the Information and Electronic Transactions Law today, there are various kinds of news that are not true circulating very quickly and rapidly which corners the government.In fact, these reports are hoaxes made by outside parties (foreign countries) to threaten the stability of domestic security in Indonesia and can trigger divisions between tribes, religions, and races.The act that threatens the stability of the Home Affairs Ministry, history records, Nazi Germany used the politics of "Propaganda" to rule the world.The politics of "Propaganda" is untrue news that is continuously reported to produce the truth desired by the German authorities at that time.This is what is assumed to be done by outside parties (foreign countries) as irresponsible parties, so that it can damage the order of life of the nation and one homeland, Indonesia.As the constitutional order created by the "founding fathers" as the Founding Fathers of the Nation, nationalism, and the Unitary State of the Republic of Indonesia.The ITE Law can be a social engineering tool to defend, dispel, and punish perpetrators who make fake news (hoax) on social media.Social engineering aims to protect the divisions between Tribes, Religions, and Races (SARA) to create the goal of state life, namely: "Social justice for all Indonesian people".The idea and idea of this research are that the Electronic Transaction Information Law can be used as a resistance for the Government to "counter" hoax attacks from outside parties that threaten the stability of the Home Affairs Ministry, which does not want peace in Indonesia to be well maintained.
STUDY OF REGIONAL DRAINAGE CHANNEL CAPACITY AT ALOON-ALOON PONOROGO REGENCY

The rate of population growth in urban areas is increasing year by year, so that changes in land use will accompany it and have an impact on reducing catchment areas. One of the problems that arise is flooding or inundation. In addition to providing inadequate catchment areas, the existing urban drainage system often does not function optimally with various technical and non-technical problems. One of the urban areas experiencing a similar situation is Ponorogo City, Ponorogo Regency. In some areas of the city, there are still frequent flooding/inundation. For example, in the Ponorogo Regency Government Center, especially around Aloon City. This problem is the background of this study. The results of the study show that the planned flood discharge with a return period of 10 years, which was analyzed based on the modified Rational method, was 0.899 m 3 /s. Based on data from observations of the existing drainage system, the channel capacity analyzed by the Maning method is only 0.471 m3/sec. Thus the channel capacity needs to be increased. By widening the rectangular base of the channel from 1 m wide to 1.50 m, the channel capacity becomes 0.925 m 3 /s, so that it can serve according to the planned flood discharge. In addition to increasing the channel capacity, based on observations in the field, it is also necessary to immediately carry out maintenance and repair work on the existing drainage system, so that the function of the channel can be optimal. It is necessary to study the plan to construct infiltration wells in the study area.
Learning Model Course Choukai through Shadowing Technique

Shadowing is considered an effective way to improve listening, speaking and reading skills. This paper aims to develop a learning model choukai with shadowing techniques and to determine the effectiveness of using shadowing techniques on listening ability in choukai courses. Therefore, experimental research and data collection techniques using pre and post-tests were applied to the same group, consisting of 28 students. Then, the t-test was used to analyze the data. As a result, there was a significant difference between the pre-test and the post-test result, indicating that the Sig. (2-tailed) of 0.000 0.05, and a difference between the average student results before and after using shadowing techniques after treatmeant. In conclusion, developing of the learning model choukai using shadowing techniques on level IV students of the Japanese language education study program FKIP UHAMKA was feasible to be used by students in learning courses choukai.
Management Accounting Information Systems, Performance Measurement Methods and Reward Systems in Influencing Managerial Performance

The problem that is the indication of management accounting information system policies, performance measurement methods, and reward systems that are less effective, so that they are felt to affect managerial performance. The number of samples obtained from the total population in as many as 32 people. Data analysis techniques using validity and reliability tests, multiple linear regression tests, t tests and F tests. The results of the research carried out obtained that partially the application of management accounting information systems to managerial performance. The performance measurement method has a positive and significant effect on managerial performance. The reward system has a positive and significant effect on managerial performance. Simultaneously the application of management accounting information systems, performance measurement methods and reward systems have an effect on managerial performance with a significant value of F 0.001 &lt; sig. 0.05. Management should always pay attention to the development of the systems implemented, including the application of management accounting information systems, performance measurement methods and reward systems in order to achieve the effectiveness of managerial performance.
LPRNet: A Novel Approach for Novelty Detection in Networking Packets

Novelty Detection is a task of recognition of abnormal data points within a given system.Recently, this task has been performed using Deep Learning Autoencoders, but they face several drawbacks which include the problem of identity mapping, adversarial perturbations and optimization algorithms.In this paper, we have proposed a novel approach LPRNet, a Denoising Autoencoder which uses algorithms such as Least Trimmed Square, Projected Gradient Descent and Robust Principal Component Analysis, to solve the above-mentioned problems.LRPNet is then trained and tested on NSL-KDD dataset, and experiments have been performed using Accuracy as performance metric for comparing the existing models with the proposed model.The results show that LRPNet has the maximum accuracy of 95.9% and performed better than all the previous state-of-the-art algorithms.
Set the Configuration for the Heart of the OS

This paper presents a study on the practicality of operating system (OS) kernel debloating-reducing kernel code that is not needed by the target applications-in real-world systems. Despite their significant benefits regarding security (attack surface reduction) and performance (fast boot times and reduced memory footprints), the state-of-the-art OS kernel debloating techniques are seldom adopted in practice, especially in production systems. We identify the limitations of existing kernel debloating techniques that hinder their practical adoption, including both accidental and essential limitations. To understand these limitations, we build an advanced debloating framework named Cozart which enables us to conduct a number of experiments on different types of OS kernels (including Linux and the L4 microkernel) with a wide variety of applications (including HTTPD, Memcached, MySQL, NGINX, PHP and Redis). Our experimental results reveal the challenges and opportunities towards making kernel debloating techniques practical for realworld systems. The main goal of this paper is to share these insights and our experiences to shed light on addressing the limitations of kernel debloating in future research and development efforts.
Penentuan Derajat Optimum Interpolasi pada Metode Lagrange dan Metode Newton Gregory dalam Mengestimasi Kasus Pasien Sembuh dari Covid-19 di Indonesia

Estimation is one method for approximation. The estimation method is the polynomial interpolation. Once of polynomial interpolation are Lagrange method and Newton Gregory method. In several references, the degrees of interpolation which is used on the Lagrange method or Newton Gregory method depends on the numbers of data. This paper was created to knowing the optimum degrees to interpolate 61 numbers of data. In this paper, points are determined to interpolate so that formed intervals of equal length. As for the degrees to be tested, namely degrees 2,4,5,10, and 20. Based on MAPE and MSE values for degree 2 are lower than degrees 4,5,10 and 20 in both methods so that the interpolation of the Lagrange and Newton Gregory degrees 2 is better than degrees 4,5,10, and 20.
An anti-phishing model based on similarity measurement

Phishing has represented a more noteworthy danger to clients. In the current work, the authors attempted to build up a powerful anti-phishing technique based on hybrid similarity approach combining Cosine and Soft Cosine similarity that measures the resemblance between user query and database. The proposed similarity hybrid is also evaluated against another similarity hybrid comprising of Cosine and Jaccard similarity measure so as to validate the proposed work. Both hybrid similarities are separately fed to validation layer of feed forward back propagation neural network (FFBPNN) to predict phishing and legitimate websites. The performance of the proposed work is evaluated against data set comprising of 3,000 sample files in terms of positive predictive value (PPV), true positive rate (TPR) and F-measure. The comparative analysis demonstrated that the anti-phishing model using proposed similarity hybrid outperformed the cosine and Jaccard similarity hybrid with 0.233%, 0.2833% and 0.258% higher PPV, TPR and F-measure, respectively.
Implementasi Model Pembelajaran Team-Work dalam Meningkatkan Kemampuan Menangkap Makna Teks Prosedur Peserta Didik Kelas XII MIPA 3 Madrasah Aliyah Negeri 2 Ponorogo

One of the learning activities is the process of transfer of knowledge from the teacher to the students. The implementation of learning English using the 2013 curriculum requires a number of fundamental changes. The first is the shift from the focus on the teacher (how to teach) to the focus on students (how to learn). The second is success in mastering the scientific field, not just understanding or aspects of knowledge but accompanied by basic life skills (skills) that are marked by changes in attitudes towards student learning achievement that increases. The formulation of the problem in this study are: Does the team work learning model can improve the ability to capture meaning in oral and written procedure text in the form of recipes in class XII.MIPA.3 Madrasah Aliyah Negeri 2 Ponorogo 2018/2019 Academic Year. In this study researchers collaborated with other teachers as well as with the school principal. The researcher is directly involved in the research from the beginning to the end of the study. Researchers try to see, observe, feel, appreciate, reflect and evaluate the learning activities that take place. The stages of the implementation of action research consist of planning, acting, observing, and reflecting. To get accurate research results, the data collected has been analyzed statistically using the mean or average formula. The criterion for success that marks the success of this study is the KKM (Minimum Completeness Criteria) which is a value of 75 that can be achieved by 80% of students. From the results of the study it was found that the average value in the cycle had a significant increase. Referring to the action hypothesis proposed in this class action research, it can be concluded that: there is an increase in the ability to capture meaning in the oral and written procedure text in the form of a recipe with a model of teamwork learning in class XII students. MIPA.3 Madrasah Aliyah Negeri 2 Ponorogo 2018 Academic Year / 2019.