Reviewerly/exHarmony huggingface dataset:
Implementasi Penerapan Metode C4.5 dan Naïve Bayes Dalam Tingkat Kelulusan Akreditasi Lembaga PAUD Pada Badan Akreditasi Nasional

Education from an early age is one way to stimulate children's potential. This is explained in the Law of the Republic of Indonesia Number 20 of 2003 concerning the National Education System which states that Early Childhood Education (PAUD) is a coaching effort aimed at children from birth to the age of six which is carried out through the provision of educational stimuli to help growth and physical and spiritual development so that children have readiness to enter further education. The National Accreditation Board for Early Childhood Education and Non-Formal Education, hereinafter referred to as BAN PAUD and PNF, is an independent evaluation body that determines the feasibility of PAUD and PNF programs and/or units. BAN PAUD and PNF were formed based on Permendikbud Number 52 of 2015 concerning the National Accreditation Board for Early Childhood Education and Non-Formal Education which is a substitute for Permendikbud 59 of 2012. Improving the quality of the implementation of PAUD and PNF Accreditation can be done by increasing the availability of non-formal education accreditation services. Other things that can be done to improve the quality of the implementation of PAUD accreditation are by providing certainty and guarantee of obtaining non-formal education accreditation services and improving a reliable governance system in ensuring the implementation of non-formal education accreditation services. This study uses data mining techniques in predicting the accreditation status of PAUD education units. First, preprocessing is used to get a quality dataset. Second, the data is processed to get a series of predictions. In this step, two data mining algorithms are applied, namely the Naïve Bayes Algorithm and the C4.5 Algorithm with the aim of knowing the performance of the two algorithms with a greater level of accuracy will be recommended in solving the problem of predicting the accreditation of PAUD education units in BAN PAUD and PNF DKI Jakarta Province. Then the third, the results will be in the Conffusion Matrix to validate the accuracy of the prediction results. And the results of the assessment show that the C4.5 and Naïve Bayes Algorithm methods can be used to predict the accreditation status of PAUD education units with an accuracy of 99.00%
Environment friendly population records system using biometric data and anonymous signatures

The fast evolution of technology allowed our society to search for ways to increase efficiency and productivity. In some domains this increase in efficiency also lead to less waste, which in turn may lead to better environment protection. Such a domain is that of population records. One way to properly identify an individual is to keep a record of his biometric data. Unfortunately this method of identification is raising a lot of concerns regarding privacy and the protection of private data. This paper proposes a method of protecting biometric data by securing it with anonymous signatures. This will allow the use of that biometric data for identification purposes only and will not link it to individuals without their personal identification card (e.g. passport, ID card, etc.). It is the authors’ belief that this method will increase the number of people to opt for biometric documents which will reduce bureaucracy and implicitly reduce the use of consumable materials thus better protecting the environment.
Blockchain-Based Voting System

Since the publication of Satoshi Nakamoto's white paper on Bitcoin in 2008, blockchain has (slowly) become one of the most frequently discussed methods for securing data storage and transfer through decentralized, trust-less, peer-to-peer systems. With the accelerated iteration of technological innovation, blockchain has rapidly become one of the hottest Internet technologies in recent years. As a decentralized and distributed data management solution, blockchain has restored the definition of trust by the embedded cryptography and consensus mechanism, thus providing security, anonymity and data integrity without the need of any third party. But there still exists some technical challenges and limitations in blockchain. The blockchain, with its own characteristics, has received much attention at the beginning of its birth and been applied in many fields. Voting is a very important process that takes place in almost every country of the world and many efforts have been made to improve the process over the years. In this report, the process of building an electronic voting system has been chalked out using Blockchain Technology. This new system will not only make the whole process much fairer but will also greatly reduce the time and workforce spent over it. This paper explains the prospects on which we can improve and also talks about the limitations of the system. An experimental set-up is also carried out with a proper result analysis to show the efficiency of the E-Voting System over the traditional process of voting.
PRODUCT CLUSTERING ANALYSIS ON THE MARKETPLACE USING K-MEANS APPROACH (CASE STUDY: SHOPEE)

The business world has experienced a paradigm shift towards a more modern concept. Many business processes are carried out through the internet or commonly known as e-commerce, by utilizing a platform known as Marketplace. One of the marketplaces that are quite well-known and in great demand in Indonesia is Shopee. The high online shopping activity in the current marketplace indirectly encourages business actors to understand the online market. However, one of the obstacles that are quite often faced by sellers, especially new sellers who are starting to enter the digital realm, is the emergence of confusion in the selection of products to be sold due to a lack of information regarding the demand for what products are in demand in the market.The process of searching for information related to the demand for products of interest is carried out through clustering analysis to find out the groups of products that are of interest to those that are less attractive to the public. The data used is product data from 6 categories in the Shopee market which was taken using web scraping techniques. The clustering processes used the K-means approach by determining the number of K and the optimal center point through the calculation of Sum Square Error (SSE) by looking at the elbow graph. The final results show the optimal number of K clusters that are different in each category, namely in category women’s clothing, men’s clothing, and electronics are at K=4 then for products in the category of Muslim fashion, care &amp; beauty and household appliances are at K=3. Based on the validation results using the Davies Bouldin Index, values were obtained in6 categories, namely 0.391, 0.438, 0.414, 0.357, 0.387, and 0.377, which means that the cluster structure and the level of information formed in each category using the K-Means method is quite good.
The features of functioning of the modern language in the Internet space (based on the material of French and Spanish languages)

fi nsk oye ko m m un ika t ivn o ye n a sled ie [ Russia na n d F in n ish Co m m un ica t ive L ega cy ] , (рр.5-13 ).V o l .3 .V o ro n ez h : I s t o ki.V XnD ijk, Т.А.(1989).Ya z ik.Po z n a n ie.Ko m m un ik a t si ya .[ L a n gua ge.Co gn it io n .Co m m un ica t io n } .PuЫ is h er: NO Pro gres s PuЫ is h in g G ro up.
Designing Educational Mobile Game "Dimatika" for Basic Mathematics Learning Media

Basic mathematics from other sciences, causes mathematics to be related to other sciences. Most people are very difficult to learn mathematics. Because all this time the method used in mathematics learning is a manual method that is less attractive and tends to be boring. In fact, for the ability to capture good learning, it should be emphasized more  on  visual  education  that  looks  attractive  with  additional images  and  sounds  in  it.  So  an educational game was made which made mathematics learning not boring and looked more attractive so that it increased the intention to learn mathematics. In software development, researchers use the ADDIE method, the development stage and the testing phase can produce something measurable. Then an educational mobile game was made DIMATIKA - Mathematical Dimensions. In its design, this game uses a prototype method, this method is very well used to solve problems and is repetitive with fast design.
Path Planning of Redundant Manipulator Based on Improved RRT Algorithm

Aiming at the path planning problem of the redundant manipulator with seven degrees of freedom, this paper presents a new algorithm based on RRT Algorithm. The new algorithm performs path planning in the joint space of the robot to improve the efficiency of the planning. Base on goal-oriented thought and bi-directional search thought, the generation of sampling points in the random tree is improved, the random tree is guided toward the target point to improve the convergence speed, and the complexity of the expansion process can be reduced. Lastly, Comparative simulation experiments are carried out on the MATLAB platform and the improved algorithm is applied to a 7-degree-of-freedom manipulator. The results show that the improved algorithm has advantages in time and keeps the algorithm concise.
Translation of the Batumi Linguocultural Digital Archive: The methodology of Glossing and Tagging Social, Political and Cultural Information in Translation of DRSP

The Georgian dialects’ translation methodology (GDTM) for the digitized recorded speech patterns DRSP in the BalDAR was adopted for translation of the stratified language, which in this specific case is the Georgian dialect containing residues of Turkish, Persian, and Arabic, and Pontic Greek borrowings. However, GDTM can be extended as a general approach to the translation of other Georgian dialects into Standard English (SE) for the language documentation and archiving purposes. The justification for the Georgian Dialect Translation Methodology (GDTM) is that Batumi Linguocultural Digital Archive is a source of the cross-cultural validation of the Georgian and its dialects. The digitized, documented speech patterns contain many facts which are, at present, and will be in the future too, worth researching in various fields of study: Glossing and Tagging in translation can enhance the potential of the DigiArchive for the global research by the international scholars.
Modifikasi Pembelajaran Ekspository Learning dengan Media Kartu untuk Membelajarkan Materi Pecahan bagi Siswa SD

One of the efforts that teachers can make to improve student learning achievement is to manipulate learning strategies and teaching media. So this research, will be used expository learning strategies and card media to align fractional material for students of class V. The purpose of this study is to describe learning outcomes in fractional material by using exposure learning strategies and card media. The research was conducted at SD Negeri 050783 Salahaji, Langkat Regency. This type of research is action research with the design of Kurt Lewin. The study was conducted on 24 class V students. Research instruments in the form of a description test numbering 5 questions. Based on the results of research obtained the average completion of learning in cycle I is 46.39 (45.83%) with the number of completed students as many as 11 people and 69.6 (79.2%) in cycle II with the number of completed students as many as 19 people. Thus it is concluded that the use of fractional card media with strategi expository learning can improve learning outcomes in fractional material
Racikan Minuman Jamur Tiram (Pleurotus ostratus) sebagai Peningkat Kesehatan Tubuh

Tanjung Johor sub-district is located in the District of Service of Jambi City and is one of the guided villages of the University of Jambi, which has great natural resource potential. However, the community's livelihoods are still mostly rubber and oil palm farmers. One of the potentials in this village is waste from empty palm oil bunches and used as oyster mushroom farming. The resulting oyster mushroom has not been processed into a health drink, only as a cooking ingredient. The results of guidance and collaboration from Jambi University lecturers, such as introducing the benefits of oyster mushrooms for improving body health in this village, have been carried out, but the production of oyster mushrooms has not been carried out. By seeing this potential came the idea to make a healthy drink from oyster mushrooms. The purpose of this community service activity is to provide selling value for oyster mushrooms from agriculture and post-harvest handling, increase public knowledge about the benefits of oyster mushrooms and maximize human resources in Tanjung Johor village. The method used is oyster mushroom counseling and making health drinks. This activity produces processed products from oyster mushrooms such as health drinks that can increase the selling value of oyster mushrooms and increase the creativity of human resources in Tanjung Johor Village, Pelayangan District Jambi City.
Detection of Sub Community Graph in N Community Graphs using Graph Mining

Detection of sub-graphs in community graphs is an important task and useful for characterizing community graphs. This characterization leads to classification as well as clusterings of community graphs. It also leads to finding differences among a set of community graphs as well as buildings of indices of community graphs. Finally, this characterization leads discovery of knowledge from sub-graphs. This proposed approach of detection of a sub-community graph from a group of community graphs using simple graph theory techniques. So, that knowledge could be discovered from the sub-community graph detected in a set of community graphs. The proposed algorithm has been implemented with two examples including one benchmark network and observed satisfactory results.
THE STUDENTS’ ABILITY IN SPEAKING ACCURACY AND FLUENCY AT SMA NEGERI 9 GOWA

The purpose of this research aimed at finding out the students’ ability in speaking accuracy and fluency at SMA Negeri 9 Gowa class X IIS 1. The research used a descriptive quantitative method. The subject of this research was students in SMA Negeri 9 Gowa in tenth grade. The data of the research was collected through speaking tests in oral test form. The result of the research for speaking accuracy showed from 24 students’ there was 1 student (4.17%) who belonged to ‘excellent’ category, 4 students (16.67%) who belonged to ‘good’ category, 6 students (25%) who belonged to ‘fairly good’ category, 6 students (25%) who belonged to ‘poor’ category and 7 students (29.17%) who belonged to ‘very poor’ category. The mean score for speaking accuracy for students in SMA Negeri 9 Gowa at tenth grade was 5.6 which means the level of speaking accuracy of students was categorized as fair level. While for speaking fluency, the result of the research showed from 24 students’ there was 1 student (4.17%) who belonged to ‘excellent’ category, 4 students (16.67%) who belonged to ‘good’ category, 8 students (33.33%) who belonged to ‘fairly good’ category, 5 students (20.83%) who belonged to ‘poor’ category and 6 students (25%) who belonged to ‘very poor’ category. The mean score of speaking fluency of students in SMA Negeri 9 Gowa at tenth grade was 5.9 which mean it was categorized as fair level.
Making climate public: energy monitoring and smart grids as political participation

This article presents the findings of ethnographic research in the UK with a network of engineers, activists, and citizens involved in developing smart energy monitoring systems and community smart grids. The paper explores how everyday uses of data, material evidence, and sensory information on material and thermodynamic processes that appear in such projects, are opening up new spaces for public participation in climate change politics. Here, familiar discursive and deliberative forms of democratic participation are supplemented by what I term material diagnostics�a practice of public participation that revolves around a collective effort to unpack and rethink infrastructures as sites of climate action. Building on these findings, the paper suggests that everyday digitally informed experiments with urban infrastructures have the potential to extend the kinds of political subjectivities and participatory politics that are possible, as governments seek to transition to a net-zero future.
Peer Correction Technique in Encouraging the Indonesian EFL Learners to Write Compositions

In writing an essay, a writer is demanded to consider several essential aspects of writing. They are mechanics, contents, coherence, organization, grammar, and vocabulary (Harmer, 2001, p. 88). Because of these demands on writing an essay, learners who are training their writing skills may face various problems in the process of writing an essay. Moreover, it is important to notice that many ESL students consider writing as hard and become suspicious when faced with writing assignments; thus, they often refuse to take time to write (Rankin-Brown, 2006). This research aims to discover how peer correction helps students find and reduce their mistakes in composing a recount text. This research used a quasi-experimental method. The population was the students of senior high school in Sidrap regency, Indonesia. The total population was 178 students from seven classes, and this research assigned two groups, namely experimental and control groups. The sample was selected by using a cluster random sampling technique. This research found that the students experienced some difficulties in arranging paragraphs and using grammar. They made many mistakes in their writings in terms of grammar, diction, coherence, organization, and they also lacked vocabulary. The problem is that they did not realize or do not know the mistakes that they have produced. By applying the peer correction technique, the students may experience the four elements in the writing process. The peer correction technique will facilitate the students to know either the strengths and the weaknesses they have made. This technique also helps them identify what was missing from their drafts so they can make corrections, revisions, and improvements to their writings. In addition, students with their partners could exchange their writing to verify the organization in writing. The research concluded that using peer correction technique is sufficient to reduce the students' mistakes in writing recount text of senior high school students in Sidrap, Indonesia.
The Larger the Better: Analysis of a Scalable Spectral Clustering Algorithm with Cosine Similarity

Chen (2018) proposed a scalable spectral clustering algorithm for cosine similarity to handle the task of clustering large data sets. It runs extremely fast, with a linear complexity in the size of the data, and achieves state of the art accuracy. This paper conducts perturbation analysis of the algorithm to understand the effect of discarding a perturbation term in an eigendecomposition step. Our results show that the accuracy of the approximation by the scalable algorithm depends on the connectivity of the clusters, their separation and sizes, and is especially accurate for large data sets.
Media habits and attitudes of students about the possibilities of applying mobile learning in foreign language teaching

The paper analyses innovative learning and teaching through mobile learning on a sample of 96 adolescents. A 3-part questionnaire consisted of sociodemographic data, attitudes about mobile learning and media activities and the use of social networks. The research was done in 2019 with vocational school students. 15.1% of them use applications for learning English, while 92.5% use social networks in school work. Girls listen to music, take photos and use social networks significantly more often. Higher achievers are signifi[1]cantly more likely to read e-books, search for information in the media, and are generally more active on all media platforms except social networks. Girls use Snapchat and Instagram significantly more, while boys use Twitch. The use of mobile phones positively correlates with the attitude that it helps with learning, the belief that it can influence the improvement of language skills, and the de[1]sire for additional knowledge about mobile learning
Penerapan Model Pembelajaran Project Based Learning Melalui Media Vlog Untuk Meningkatkan Minat Belajar Dan Prestasi Belajar Siswa

Purpose of this study is: To find out whether the application of learning model project based learning through vlog media is able to increase student interest in learning, and student achievement and is able to jointly increase the interest in learning and achievement of class XI Catering 5 students in the subject of food and beverage servicee at SMK Negeri 2 Tabanan. This type of research is classroom action research (CAR) with quantitative descriptive data analysis techniques. The object of research is interest in learning and student achievement and the sample in this study was class XI Catering 5 SMK Negeri 2 Tabanan. The results showed that learning achievement has increased supported by an increase in student learning outcomes. This is supported by the successful application of themodel project based learning through vlog media which has an effect on increasing student interest in learning which is shown from feelings of pleasure, student involvement, interest, and attention of students. This also proves that the application of themodel project-based learning through vlog media has succeeded in increasing student interest in learning and learning achievement.
INNOVATIVE LEARNING TECHNOLOGIES IN THE SYSTEM OF FORMATION OF SCIENTIFIC-ORIENTED EDUCATION

The significance of innovative technologies as a means of forming scientifically oriented education is analyzed. The task of science-oriented education is to form a system of education based on the competence approach. The concept of educational model based on pedagogical technologies, which are based on independent acquisition of knowledge with the result reflected in practical, research, design or design and technical activities, is substantiated. The importance of these aspects for students' education on the basis of STEM technologies is growing, so the problem of forming the scientific component of education on the basis of the latest educational technologies and modern technical means is relevant. The aim of the article is to analyze the possibilities of innovative technologies (including STEM) in the process of training future teachers of physics, computer science and technology in the formation of a scientifically oriented educational environment. One of the directions of STEM implementation is singled out – educational robotics – a new learning technology that allows to interest the engineering creativity of children from primary school age. It is argued that the study of students (future teachers) of the basics of robotics and technical design contribute to the formation of knowledge of graphic programming, skills of designing robot models and their use in educational physical experiment, construction and software implementation of algorithms. It is envisaged that the results of such work will increase interest in the study of natural sciences, improve the development of educational and scientific fields.
Organization Of Independent Work Of Students In An Open Information And Educational Environment

The article describes the content and possibilities of organizing independent work of students in the environment of electronic information education.It covers the methodological forms of organizing students' independent work on the basis of lectures, laboratory, practical, seminars.\