Reviewerly/exHarmony huggingface dataset:
The IMPLEMENTATION WAYPOINT SISTEM OF CIA COMBAT ROBOT VERSION N2MR3 USING THE INTERNET OF THING (IoT) BASED ON RASPBERRY PI 4.0

Abstract - In the current era, technological progress is very influential for the defense system and the progress of a country to maintain the peace of the country, including Indonesia. In maintaining the integrity of the Unitary State of the Republic of Indonesia, a technological design is needed to maintain state sovereignty. To achieve success, the CIA's N2MR3 version of the robot design has a waypoint system that can be moved semi-autonomous to reduce personnel and material losses that have been experienced so far. The design of this combat robot uses an internet of thing (IOT) system that can be moved through a web server and controlled by an operator. This combat robot can also assist in reconnaissance, not also maintain the security and integrity of the Unitary State of the Republic of Indonesia, but can also carry out attacks by preventing personnel losses. The CIA version of the N2MR3 robot is an advanced tool made to have more helpful functions in terms of the military. In order to help maintain the integrity of the Unitary State of the Republic of Indonesia, this robot can be used to maintain the integrity of the Unitary State of the Republic of Indonesia in Indonesia.
Modern Approaches to Spanish Language Teaching, Blended Learning

Every language is a living organismand cannot be taught through the application of only theoretical or practical tools. Therefore, the integration of modern approaches in foreign language instruction takes on a particular importance. Along with the development of online technologies, modern foreign language classes are gradually undergoing changes and modifications. Introduction of online learning is one of such significant changes. There are various forms of online learning, including blended (online) learning, which represents a synthesis of classroom and online education. The present work sets forth the priorities of blended learning, which distinguish the blended approach from other methods of foreign language instruction. The work also includes the results of the student survey conducted to find out whether the Spanish language students actively use online means, in addition to classroom learning and how they view the idea of putting the blended learning model in place.
UMAH INFORMASI DIGITAL DALAM UPAYA LITERASI DIGITAL MASYARAKAT DI WALANTAKA - BANTEN

The service program aims to increase public knowledge about various kinds of digital media literacy information, especially related to job opportunities, schools, Islamic boarding schools, and scholarships as an effort to form and develop an education literate society and alleviate poverty. The specific targets are: (1) Basic use of computers to search for information and needs; (2) the use of subjective needs and abilities; and (3) a consultation room for the information obtained. The method used: (1). Socialization about “Umah Information” at Azzahra Reading Park; (2). Socialization material according to target. The results of the service show that the village community is very interested in the digitization program, because of the availability of computers (PCs and laptops) that cannot be owned and accessed. Browsing is the easiest thing, as a habit from HP. The understanding and use of word, ppt, excel, and others is low, of the 30 participants consisting of elementary, high school students, junior high school age students - high school students, mothers and fathers from various professions, only those who have a profession as formal workers such as teachers, who already know, and are able to operate, and adapt quickly during training.
Technological and pedagogical requirements for the functioning of the system of mixed learning in the field of higher education in Ukraine

Technologization and informatization of society create new ideas about the process of higher education and its results, which cannot be achieved in traditional education. The introduction of new technologies, the creation of information and educational environment, the involvement of active learning methods, design and distance technologies open new prospects for improving the efficiency of the educational process. At the same time, the shortcomings in using new technologies, especially distance learning, reduce the productivity of learning due to the unusualness and the need to adapt both sides of the educational process. Real communication, emotional contact, use of material objects and devices are an integral part of effective mixed education.&#x0D; These shortcomings can be overcome and the productivity of the educational process can be increased through the introduction of blended learning, which allows combining the advantages of traditional (full-time) and distance education, rational use of study time, increase student prepairing through the optimal ratio of online and classroom activities. Mixed learning systems have already been implemented in the West, the results of existing research confirm the high efficiency of this model of education, which opens a new space for both students and teachers, bringing the effectiveness of higher education to a new level. However, such a result is possible only if the whole list of technical and pedagogical requirements to which this article is devoted is satisfied.&#x0D; The article examines the basic requirements for the effective functioning of mixed learning in higher education. The components of pedagogical competence of the teacher, which are necessary for the implementation of the system of mixed learning, are identified and the potential ways of their development are given. The advantages and disadvantages of mixed learning in the current state are listed.
Ways to increase of the training efficiency for higher education accessories in modern condition

Current trends in the development of the education sector require significant changes in approaches, methods, techniques and tasks of training. The challenges that arise need to be addressed, which will make it possible to increase the competitiveness of higher education seekers after their graduation, and, as a consequence, to improve the competitiveness of the higher education institution itself. The tasks that arise are: a change in the approach to the educational process of research and teaching staff, which must consist in the interest of teachers themselves to improve the quality of educational services they provide; a change in the approach to the educational process of learners – students, listeners, cadets, etc. – that is, it is necessary to transform those who are taught into those who learn; definition of criteria for the effectiveness of education, which is obviously not only in achieving program learning outcomes.&#x0D; The main criteria of efficiency of educational activity are formulated in the article. These criteria are obviously not only the amount and strength of knowledge and skills, competencies and program learning outcomes. Using only such criteria, it is impossible to fully assess the current requirements for the effectiveness of education. In the conditions of market relations, economic crisis, global mental restructuring, the main criterion for the effectiveness of training of the specialist is the ability to employ him in various positions after graduation, and possibly during training. What is more important is the ability of the job seeker to self-improve and master various competencies when changing functional responsibilities. That is, a higher education student must have a wide range of competencies, not only deep ones, which will enable him to develop under certain conditions in the performance of functional duties. Such tasks make it possible to solve the use of elements of dual education, distance technology using modern technological solutions and motivation of participants in the educational process to self-development.&#x0D; The article concludes that the mutual combination of dual education with distance learning technologies should ultimately solve the urgent problem of training an experienced specialist with a high level of competence who will be able to perform production tasks without additional internship or training after graduation.
COMPARISON OF TAJWID LEARNING OUTCOMES OF BATU NGOMPAL METHOD WITH CONVENTIONAL METHOD IN TAMAN PENDIDIKAN AL QURAN (TPQ) JEJANTI PANCOR VILLAGE, SELONG DISTRICT IN 2019

The objective of this research was to know the comparison of students’ tajwid learning achievement through batu ngompal and conventional method. This research was ex-post facto research. The sample was the students of TPQ Jejanti which consisted of 30 students. 15 students were treated by using batu ngompal method and the rest were treated using conventional method. The data were collected using questioner that would be chosen by students based on their capability. Based on the data analysis result, it was found that students’ achievement who treated by using batu ngompal method were higher than who treated using conventional method. Thus, alternative hypothesis (Ha) was accepted and null hypothesis (Ho) was rejected. It can be concluded that batu ngompal method was better than conventional method on students’ tajwid learning achievement in TPQ Jejanti Pancor, Selong in year 2019.
A Web Based Tool to Support a Personalized Therapeutic Path Through the Use of Psychological Tests

Psychology tests are tools used to evaluate specific aspects of individual psyche and behavior, in clinical practice and for research purposes. They are validated and standardized both in the administration procedures and interpretation of results. Nowadays, most of these tests are questionnaires administered to patients on paper support. The patient's answers to the questionnaires constitute a basis for self-presentation and self-awareness at the beginning of the therapeutic path. The computer is a valuable aid allowing a quickly consultation of all the answers and highlighting the most salient ones. The main aim of this work was to design, develop and test a computerized support tool for the interpretation of psychological tests that allow good interaction between groups of therapists sharing the same operating modes. The developed system allows: first the storing of the numerical values corresponding to the answers to the questionnaires of the patients; then it creates a complete 'Picture' of the patient and allows the automatic computation of the correlation between the indexes of the various scales. The graphical correlations between scales can be also a valuable aid in finding the outliers, so patients far away from the trend line.
A University Literacy Festival: The Impact of Connecting Children’s Authors with Students, Teachers, and Librarians from Title I Schools

A literacy festival is one of the most effective ways to promote reading and fosters the idea that books make a difference, especially to under-supported students. This paper is based on a research study that focused on how a university literacy festival supported engagement and increased reading attitudes and habits for students of Title I schools. It also explores a longitudinal study that analyzed a university’s literacy festival and its impact on students, librarians, teachers, children’s authors, teacher candidates, and librarians from Title I schools in southwest Florida. The findings of this study suggest that a university literacy festival helps connect children with books, which can help promote a lifelong love of reading and writing. A university literacy festival featuring a variety of diverse authors presenting interactive workshops showcasing their literary craft enabled students from Title I schools to engage with the authors and to see themselves as writers and encouraged them to explore a university in their own backyard. This university literacy festival made a positive impact in the area of engagement in reading and found an increase in reading from students from Title I schools that attended the event. Keywords: literacy festival, children’s authors, Title I students, teacher candidates, reading
The Phenomenon of Matter-Independent Knowledge Coding Principles

In this article, from the point of view of the theory of coding and information transfer, the existence of a new type of human interaction with knowledge is proved.This method is characterized by the fact that knowledge, thanks to consciousness, being in a digital code (in computers in the form of BIG DATA), have found a way to independently transfer from one material medium to another.Therefore, along with the usual coding, another phenomenon appeared -matterindependent data coding.This phenomenon is the result of natural selection -the competition of forms of information coding.It is important to mention that in the psyche (in phylogeny) there was no disappearance or replacement of forms of coding knowledge about the surrounding material world.It was the constant addition of new forms of knowledge coding.Every form of knowledge that encodes 3D, 2D or 1D can be transmitted to the human brain for processing (in its nerve tissue).The phenomenon of material reality surrounding a person has always been realized as a three-dimensional phenomenon.However, the model of the phenomenon in the human psyche and the three-dimensional nervous tissue of the brain can be threedimensional, two-dimensional or one-dimensional.Hence, the coding of zero knowledge is a continuation of the previous forms.This zero coding consistently, persistently and not without success gets rid of the influence of the material medium.Finally, it became a form of coding knowledge, completely independent of the material carrier.For example, cloud technologies and electronic money are becoming a model for matter-independent coding of knowledge.Thus, the emergence of a matter-independent coding has led to the fact that the transfer and storage of digitized knowledge from the past to the future is no longer necessarily carried out with the participation of a person.The brain remains a model of the carrier of consciousness only in material-dependent coding.
IMPLEMENTASI TEKNOLOGI ASYNCHRONOUS DENGAN MENGGUNAKAN SQUID UNTUK MENYIMPAN CACHE WEBSITE

Information technology, especially the internet, is currently growing very rapidly, due to the increasing number of people who disseminate information through the internet. The development of the number of users of Internet information technology is currently not followed by the addition of appropriate bandwidth, so problems often arise related to the speed of access to get internet services. An easy way to save bandwidth and force authentication on information traffic is to use squid. The use of Squid can be used to increase the need to speed up information retrieval. By using the Squid application, the router can be used as a proxy server for internet web cache. At the time of installing Squid without a proxy, testing was carried out on the https://www.kompas.com url and the results of the first load on a website resulted in a load time of 36 seconds, there was no difference in bandwidth usage and time whether using a proxy server or not, but the second page load on the same site with a faster load time of 30 seconds will save bandwidth. Then the installation of Squid using a proxy was carried out, testing was carried out on the https://www.kompas.com url and the results of the first load on a website resulted in a load time of 34 seconds, there was no difference in bandwidth usage and time, whether using a proxy server or not, but on the second page load on the same site with a faster load time of 16 seconds, it will save bandwidth and be faster by using squid compared to not using squid.
Feature Extraction in Six Blocks to Detect and Recognize English Numbers

The Fuzzy Logic method was implemented to detect and recognize English numbers in this paper. The extracted features within this method make the detection easy and accurate. These features depend on the crossing point of two vertical lines with one horizontal line to be used from the Fuzzy logic method, as shown by the Matlab code in this study. The font types are Times New Roman, Arial, Calabria, Arabic, and Andalus with different font sizes of 10, 16, 22, 28, 36, 42, 50 and 72. These numbers are isolated automatically with the designed algorithm, for which the code is also presented. The number’s image is tested with the Fuzzy algorithm depending on six-block properties only. Groups of regions (High, Medium, and Low) for each number showed unique behavior to recognize any number. Normalized Absolute Error (NAE) equation was used to evaluate the error percentage for the suggested algorithm. The lowest error was 0.001% compared with the real number. The data were checked by the support vector machine (SVM) algorithm to confirm the quality and the efficiency of the suggested method, where the matching was found to be 100% between the data of the suggested method and SVM. The six properties offer a new method to build a rule-based feature extraction technique in different applications and detect any text recognition with a low computational cost.
Automatic News Blog Classifier Using Improved K-Nearest Neighbor and Term Frequency-Inverse Document Frequency

The development of internet technology increases the need for information management for the public. Oneof the information forms on the internet is the web page. The increment of web pages which is caused byblog content writing has been simplified by the existence of Content Management System, such asWordPress. However, the information is still needed to be organized orderly so that public can easily getrelevant information they are looking for. One solution that can be used to organize information is by usingtext classification. Thus, the objective of this study is to build a WordPress plugin, namely News BlogClassifier that can help users in classifying their articles automatically. Two different algorithms were usedto classify the blog content automatically into Health, Economics, Sports, and Technology category, i.e. KNearestNeighbor algorithm and TF-IDF. Furthermore, K-Nearest Neighbor algorithm is improvised byadding Cosine Similarity calculation. Based on the test results, the highest precision value is 0.92 obtainedfrom Health category, the highest recall value is 0.97 from Economics category, and the highest F-measurescore is 0.88 from Economics category. Overall, from this study, an automatic text classification plugin fornews blog content on WordPress CMS has successfully built that can help bloggers in classifying their newsarticles automatically. In addition to that, the result from the testing phase has discovered a threshold valuefor each of the categories used in this study that can be used for further research.
Deep Learning Methods In Predicting Indonesia Composite Stock Price Index (IHSG)

The stock price changes at any time within seconds. The stock price is a time series data. Thus, it is necessary to have the best analysis model in predicting the stock price to make decisions to avoid losses in investing. In this research, the method used two models Deep Learning namely Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) in predicting Indonesia Composite Stock Price Index (IHSG). The dataset used is historical data from the Jakarta Composite Index (^JKSE) stock price in 2013-2020 obtained through Yahoo Finance. The results suggest that Deep learning methods with LSTM and GRU models can predict Indonesia Composite Stock Price Index (IHSG). Based on the test results obtained RMSE value of 71.28959454502723 with an accuracy rate of 92.39% for LSTM models and obtained RMSE value of 70.61870739073838 with an accuracy rate of 96.77% on GRU models.
ANALSIS DAN PERANCANGAN KAMUS BAHASA ILMIAH TUMBUHAN BERBASIS ANDROID

The scientific name of living things, especially plants, is one of the things that is basically very interesting to learn and know, because the scientific name of living things provides an important role, among others with scientific names it will easily know the characteristics, relationships of relatives, and interactions of living things in the environment. Knowledge of plant classification has generally been taught to high school students and MIPA students or biology majors, but interest in learning about plant taxonomy is still low due to the source of information that is not yet widely available. Therefore, the development of learning media is needed one of them by building an android-based plant scientific language dictionary application that can be one of the alternative learning media for students and students. The algorithm applied is sequential search that performs search faster because the search process is already in order. That way the interest in learning students and students about the scientific language of plants can be encouraged by the spirit in learning by using this learning medium. Based on the research that has been done, the application of the scientific language dictionary of plants can be used by students, students and the public as a means of learning in understanding the scientific names on each plant that is equipped with the alphabetic menu a-z and plant categories and search features to make it easier for users to find plant names
Proactive Virtual Machine Scheduling to Optimize the Energy Consumption of Computational Cloud

The rapid expansion of communication and computational technology provides us the opportunity to deal with the bulk nature of dynamic data.The classical computing style is not much effective for such mission-critical data analysis and processing.Therefore, cloud computing is become popular for addressing and dealing with data.Cloud computing involves a large computational and network infrastructure that requires a significant amount of power and generates carbon footprints (CO 2 ).In this context, we can minimize the cloud's energy consumption by controlling and switching off ideal machines. Therefore, in this paper, we propose a proactive virtual machine (VM) scheduling technique that can deal with frequent migration ofVMs and minimize the energy consumption of the cloud using unsupervised learning techniques.The main objective of the proposed work is to reduce the energy consumption of cloud datacenters through effective utilization of cloud resources by predicting the future demand of resources.In this context four different clustering algorithms, namely K-Means, SOM (Self Organizing Map), FCM (Fuzzy C Means), and K-Mediod are used to develop the proposed proactive VM scheduling and find which type of clustering algorithm is best suitable for reducing the energy uses through proactive VM scheduling.This predictive load-aware VM scheduling technique is evaluated and simulated using the Cloud-Sim simulator.In order to demonstrate the effectiveness of the proposed scheduling technique, the workload trace of 29 days released by Google in 2019 is used.The experimental outcomes are summarized in different performance matrices, such as the energy consumed and the average processing time.Finally, by concluding the efforts made, we also suggest future research directions.
Technological Pedagogical Content Knowledge: Testing the Assumptions with Teachers of Bhutan

There has been an increased and rejuvenated interest in integrating technology in the day to day lives of the teachers, either due to forced circumstances or to catch up to the global education trend. Teachers’ knowledge and skills in using technology in the classroom is governed by Technological Pedagogical Content Knowledge (TPACK). While there is a plentiful of assumptions regarding the use of technology in the classrooms, this research investigated the technological components of the TPACK framework. Data was collected from 271 teachers in the various parts of the country. Using descriptive and inferential statistics, the scales in the TPACK was analyzed based on participants’ demographic information, such as age, gender, location of the school they are placed at, and teacher certification. Results suggests that there is a gender gap in the scales of TPACK, age and teacher certification are major variables on teachers’ competency and knowledge. Recommendations are discussed.