Reviewerly/exHarmony huggingface dataset:
Game Promosi Wisata Kota Malang “Kakang Mbakyu” Dengan Menggunakan Decission Tree dan Hierarchy Finite State

Currently, the Tourism Sector in Indonesia is considered the most effective sector contributing to increasing the country's foreign exchange, Foreign exchange earnings were obtained from Indonesian tourism visits which surged and recorded as the highest compared to other countries in Southeast Asia, In particular in the city of Malang there was a significant increase in the number of tourists, based on data listed at www.malangkota.go.id in 2015 the number of tourists entering the city of Malang totaled 3,290,067 people, while 8,265 foreign tourists visited the following year to 3,987,074 for domestic tourists and 9,535 foreign tourists. In this research, Decission Tree algorithm was successfully implemented in the game by producing a time variable gain with a value of 2.01 and a gain point of 1.86 so that the time variable will be processed before the variable points to produce level jumps according to the ability of the player, and for the Hierarchy Finite State Machine, it proved to be successful with the NPC's moving behavior in accordance with the previously designed rules.
Author Obfuscation on Indonesian News Articles Using Genetic Algorithms

Authorship attribution is a method for identifying the author of a text from a group of potential authors and can solve the anonymity of unknown authors. Such method threatens anyone’s privacy, especially those who wish to write anonymously. To address this issue, author obfuscation is proposed to modify a text to disguise its author.In this research, a genetic algorithm-based author obfuscation model was created to modify Indonesian news articles to avoid identification from authorship attribution while keeping its semantics. The model iteratively changed some words in the article using crossover and mutation techniques guided by a fitness function which involve identification probability and similarity to the original article.The model is evaluated based on safety, soundness, and sensibleness parameter. The model has good safety since it can reduce the given authorship attribution model's accuracy by 0.3018 but drops to 0.1179 when tested on different models. Its soundness is pretty good since the similarity of the modified to the original articles reaches 0.7817. The model obtained a score of 2.571 on a scale of 0 to 4 in terms of sensibleness which indicates that some articles are acceptable in terms of grammar, but not a few are messy.
Image denoising using wavelet thresholding and median filter based Raspberry pi

The goal of any denoising technique is to remove noise from an image which is the first step in any image processing. The noise removal method should be applied watchful manner. Otherwise, artifacts can be introduced, which may blur the image. In this work, three levels of Gaussian noise are used for adding noise on the original image (Ïƒ=10, Ïƒ=50, Ïƒ =100) and also (Ïƒ=15, Ïƒ=20, Ïƒ=25) to compare with existing work and analysis with it to test embedded system with a median filter. Performance evaluation of the median filter, wavelet threshold denoising techniques is provided. The techniques used are the median filter and wavelet threshold used to remove noise based on raspberry pi with Python. Four methods to remove noise images are used. (Median Filter, Wavelet Thresholding) MF, WT, MF before and after WT. The results showed the camera image was better than the other after tested all the methods with Gaussian noise Ïƒ=10. On the other hand, the other images were better than the camera images for the Gaussian levels 50 and 100. The results were good in the median filter in wavelet threshold based on Raspberry Pi, which is compared with most of the images butter in the median filter.
RANCANGAN APLIKASI PENCARIAN FILE PADA DIRECTORI WINDOWS DENGAN MENGGUNAKAN METODE BREADTH FIRST SEARCH

The current technological developments with the facilities provided are sufficient to motivate many parties to be able to find and obtain the maximum possible information, even as short as possible. This is what makes computer users to search or search the data / documents needed by using search engine facilities. However, very often the search results are unrelated, making it difficult to find the information needed. Searching is a process that is often used in data management. The search process is to find a certain value (data) in a set of data of the same type (either the base type or the form type). Data can be stored temporarily in main memory or stored permanently in secondary memory (tape or disk). In main memory, the common data storage structure is in the form of an array or table (array), while in secondary memory it is an archive (file). The search algorithm that will be discussed starts with one of the search algorithms that can be applied in a search in a directory, namely Breadth First Search (BFS).
Kerjasama Orang Tua, Sekolah, dan Pemerintah dalam Upaya Pencegahan Penyalahgunaan Narkoba pada Remaja

This study aimed to determine the mode of drug distribution in society, the form of cooperation between parents, schools, and the government in preventing drugs in adolescents, and the obstacles faced in preventing drugs. This study used a descriptive qualitative method. The mode used by drug traffickers was to wrap drugs in food/beverage packages that are transported on the deck of the ship and put them in a modified vehicle tank. The form of cooperation between parents, schools, and the sub-district was a joint-venture. The obstacles faced in preventing drug abuse or spread among adolescents are the lack of public understanding of drug prevention, the large negative influence of peer groups, the lack of school facilities and infrastructure, and many apathetic people.
Implementation of editorial television data warehouse: Health and business news will keep high since pandemic Covid-19

Data warehouse technology in the world of informatics can be applied in television editors to predict events in the future. The results of implementing a data warehouse in television editors since the Covid-19 pandemic shows that in the future, television coverage will still be dominated by health news 80.64 percent and economic news 65.61 percent. In Indonesia, legal and criminal news reports have also become a news trend as a result of these health and economic problems. The television editorial data warehouse was designed using Kimball's Nine-Step method and implementation using Microsoft SQL Server and Tableau. And to predict the news in the future analyzed using the Markov model. Apart from analyzing television news, this data warehouse is also capable know the performance of the television editorial team, namely the performance of news producers, reporters, and cameramen. The results of this data warehouse can be used by television management and chief editors to make informed strategic decisions.
Perbandingan Algoritma Klasifikasi Sentimen Twitter Terhadap Insiden Kebocoran Data Tokopedia

Public responses, posted on Twitter reacting to the Tokopedia data leak incident, were used as a data set to compare the performance of three different classifiers, trained using supervised learning modeling, to classify sentiment on the text. All tweets were classified into either positive, negative, or neutral classes. This study compares the performance of Random Forest, Support-Vector Machine, and Logistic Regression classifier. Data was scraped automatically and used to evaluate several models; the SVM-based model has the highest f1-score 0.503583. SVM is the best performing classifier.
Pengaruh Penggunaan Media Block Dienes Terhadap Hasil Belajar Siswa Pada Mata Pelajaran Matematika Kelas II SD

This study aims to see the learning outcomes before and after the use of dienes block learning media and the effect of using dienes block learning media on student learning outcomes in mathematics class II students of Elemetary School. The approach in this research is quantitative with Quasi Experimental research type with research design Nonequivalent Control Group Design. The research hasel shows that the learning process using block dienes media in the experimental class is effective, the student learning outcomes in the experimental class are more improved than the student learning outcomes in the Kontroll class. The most popular language in the world is related to the development of blockchain media services in mathematics in the field of SDN 235 Bolon, Kabupaten Luwu.
Investigation Report on Preschool Education Specialty of Higher Vocational School——Take the Preschool Education Market of HengYang City as an Example

Accurate understanding of the demand for talents in higher vocational preschool education majors under the background of the integration of industry and education is helpful to provide a practical theoretical basis for the formulation of five-year preschool education specialty direction and teaching standards. Through questionnaire survey, field interview, literature review and other ways to vocational colleges, kindergartens, preschool field related employers to carry out real-time research. Through the investigation, it is found that the number of graduates majoring in three-year preschool education can not meet the demand of the local market, and the flow of graduates is the key factor that directly leads to the market "short supply". In addition, there are other problems in the demand situation. Combined with the investigation and analysis, measures such as establishing the five-year preschool education major, optimizing the core curriculum system, and strengthening the long-term mechanism of school-enterprise cooperation are proposed.
Interdisciplinary Relations As A Factor For Improving The Professional Competence Of The Future Engineer

The article deals with the issues of improving the professional competence of future engineers related to the application of intellectual abilities in higher education institutions on the example of the specialty.
The Jewelry Design from Natural Environment Based On Tropical Nature Of Indonesia

Nature can influence people for some aspects. Most of art fields are inspired by nature. Nature can demonstrate visual composition that is accepted to have value aesthetical and can deliver an emotional feeling to the viewer. That is the reason why artists express the beauty of nature in their works as aesthetic reaction or through appreciation process towards nature. I believe that every experience from each individual with nature can influence their life. The result from the interaction is reflected into one's social and cultural life and it becomes symbols used as philosophy of one's life. So, in my works, with object boundaries of the tropical nature of Indonesia, I try to express how nature affects the human life in modern jewelry.
PEDAGOGICAL SUPPORT AND SCIENTIFIC DONATION IN ADAPTIVE-PRODUCTIVE DEVELOPMENT OF PERSONALITY IN THE SYSTEM OF CONTINUING EDUCATION

The article describes the possibility of using an adaptive-productive approach in regulating and theorizing the quality of creating demanded products of an individual’s activity and new professional and pedagogical knowledge. In the structure of adaptive-productive personality development in the system of continuing education, the basics of clarifying the quality of the use of pedagogical support and scientific donation are highlighted, which is due to the humanization and age-related development of personality in socially, professionally and personality-oriented environments. The foundations and models of communication and concretization of the quality of solving the problems of pedagogical support and scientific donation in the development of personality in the system of continuing education are determined. The concept of “scientific donation” has been clarified from the perspective of traditional and innovative pedagogy. In traditional pedagogy, broad, narrow, and local meanings are allocated for theorizing the foundations of scientific donation. In innovative pedagogy - adaptively productive, creatively productive, synergetic, unified meanings are used. The selection of methods and forms of organization of scientific donation in the system of continuing education is disclosed. The functions of pedagogical support and scientific donation are systematically detailed in the description, as well as the principles for implementing the ideas of pedagogical support and scientific donation, pedagogical conditions for increasing the effectiveness of pedagogical support and scientific donation in adaptively productive personality development in the system of continuing education. Prospects for the development of the idea of pedagogical support and scientific donation in adaptively productive personality development in the system of continuing education are determined.
Secure Data Sharing In Agriculture Using Blockchain Technology

The utilization of information and data turns out to be progressively urgent for the farming area to improve profitability and manageability. Data and Communication Technology (ICT) significantly builds the viability and effectiveness of gathering, putting away, investigating and utilizing information in agribusiness. It permits agrarian experts and cultivating networks to handily acquire update-to-date data and accordingly settle on better choices in their every day cultivating. The proposed blockchain based horticulture web application assist ranchers with guaranteeing more prominent benefit through direct rancher to client correspondence. This application chips away at the premise of blockchain innovation, to stay away from the change information during transmission. This assistance helps business correspondence and acquires straightforwardness the framework. The horticultural data framework gives its clients to get data about, cultivating items and so forth Squares of time-stepped item subtleties are put away on all frameworks across a worth chain. The blockchain innovation can comply with the provenance of meals and alongside those traces makes dependable horticulture item deliver chains and assemble believe amongst ranchers and shoppers. As a confided in approach of setting away records, it really works with the usage of records pushed improvements to make cultivating extra intelligent
No Place For Hate Speech @ HaSpeeDe 2: Ensemble to Identify Hate Speech in Italian

In this article, we present the results of applying a Stacking Ensemble method to the problem of hate speech classification proposed in the main task of HaSpeeDe 2 at EVALITA 2020. The model was then compared to a Logistic Regression classifier, along with two other benchmarks defined by the competition’s organising committee (an SVM with a linear kernel and a majority class classifier). Results showed our Ensemble to outperform the benchmarks to various degrees, both when testing in the same domain as training and in a different domain.
Plates, plumes and geological time: Are we wrong about plume-push?

In setting out to better understand what drives plate movements, not only did Lucia Perez-Diaz, Graeme Eagles and Karin Sigloch cast doubt on the theory of plume-push – they also unearthed a potential error in the calibration of our geological timescale
Determination of Missing Digit on the Year Number of Prasasti Sirah Keting

In writing the inscription, several things need to be considered, one of which is the number of years. One example of an inscription that engraves the number of years up to thousands is the Sirah Keting Inscription. The condition of the inscription when it was found was worn, including the year number. According to J. L. A. Brandes and W. F. Stutterheim, the Sirah Kĕting inscription dates to 1026 Śaka, while according to the reading of Louis-Charles Damais, the year number is 1126 Śaka. The correctness of the differences in the reading of the number of years can be traced by using the Bratakesawa Tabulation, Damais Tabulation, Zeller Formual, and Sivaraman Formula. The four methods used gave the same results. The missing number in the hundreds position is 1 so that the number of years inscribed on the Sirah Keting Inscription is 1126 Saka or 1204 AD.
WAYS OF FORMING CREATIVE SKILLS OF THE FUTURE TEACHER OF MUSICAL ART IN THE THEORETICAL AND METHODOLOGICAL ASPECT

The article describes the forming and development of creative skills for the future teacher of musical art as one of the priorities in the systematic training of a young educator. Today the increase of the artistic and creative potential of the future teacher is closely linked to resolving of the important issues of education and upbringing in our society, increasing the role of the human factor in the general process of restructuring the social existence, development of creative activities for people in all spheres of social and cultural life. In these circumstances the great importance is attached to the training of the teacher as a balanced and socially active individual, who not only embodies and combines the general culture, professional skills and abilities, but is also characterized by creative approach to the profession of educating, prominently displayed orientation towards the aesthetically valued creative activity. The author of the article considers pedagogical creativity to be the demonstration of the advanced form of activity in the professional functioning of a teacher, the display of great professional skill. The key to the pedagogical creativity are the inborn and acquired skills of the teacher to be flexible in reacting to certain objective changes in the educational process, to introduce non-standard forms of education, and to refresh the content of the academic disciplines and teaching methods. When describing the creative skills of a future teacher it is important to point out the following ones: productive and creative thinking, imagination, fantasy, courage of thought, intuition, flexible thinking, motivation for innovative research, ability to improvise, propensity to destroy established stereotypes, etc. The author regards the process of forming creative skills as a complex, multifaceted and a multi-dimensional one, which is carried out during the entire course of teaching students in a pedagogical higher educational establishment. Today, in the course of practical training of the future teachers of musical art we increasingly turn to the forms and methods of active teaching through students’ creativity. After all, a graduate who possesses a constant and an established interest for creativity as well as the willingness and capability to implement his/her creative skills and abilities will be more successful in adapting to the future professional activity, and will be capable of creating his/her own style of pedagogical work.
A Novel Method of Optimization for Stochastic Control System

Stochastic phenomena widely exist in the nature and real dynamic systems. The existence of random phenomena will make the system performance degrade greatly, and even cause instability. For the sake of improving the stability of stochastic control system, this paper proposed a novel method of optimization for stochastic control system by control model and max-plus algebraic algorithm. The simulation results indicate that the optimization method can effectively optimize the stochastic system. The input of the stochastic control system is stable to a certain extent, which weakens the random interference of the input signal in the external environment, thus improving the stability of the stochastic control system.
THE TRANSLATION OF ENTERTAINMENT NEWS FROM ENGLISH TO INDONESIAN WITH MACHINE TRANSLATION

&lt;p class="Normal1"&gt;News has been spread internationally since it was digitalized. This situation makes machine translation used as a tool to solve the language barrier problem, as it is cheap and fast compared to human translators. However, the translation by Machine Translation is not always correct. In fact, it results in more problems than in successful translation; in other words, the use of this machine is like ‘garbage in, garbage out’. However, not many studies have been conducted to provide evidence of the weaknesses of machine translation. This research paper attempts to discover the translation methods and procedures of the “translate to Indonesian” featured by Google Translate in the translation of CNN International current news from English to Indonesian. The data consist of 10 pieces of entertainment news that are published online on CNN International News. A descriptive-qualitative approach is used to analyze the data. The scope of the analysis is lexical words only. The translated news was observed and compared to the original news in order to identify the methods and procedures applied in the translation results by the Machine Translation. The results of this analysis reveal that the “translate to Indonesian” feature from Google Translate commonly uses the literal and faithful translation methods and the procedure mostly found is borrowing. Consequently, the translation by this machine is still awkward and requires substantial improvement.&lt;/p&gt;
MC4.5 decision tree algorithm: an improved use of continuous attributes

C4.5 is one of the top ten data mining algorithms; it is the most widely used decision trees construction techniques. Although effective, it suffers from the problem of complexity when it deals with continuous attributes. It also leads to a certain level of information loss. Therefore, minimising such loss and reducing the time complexity is one of the main goals in this paper. With the intention of alleviating these problems, this paper presents a novel algorithm namely MC4.5, which proposes the statistical mean as an alternative to the C4.5 threshold selection process. To demonstrate the effectiveness of the new algorithm, a complete evaluation was launched to prove that MC4.5 complies with the objectives previously mentioned. From the theoretical perspective, we develop an analysis of the complexity to compare algorithms. Empirically, we conduct an experimental study using 30 datasets to prove that, in most cases, the proposed algorithm leads to smaller decision trees with better accuracy comparing to the C4.5 algorithm.