Reviewerly/exHarmony huggingface dataset:
K-Means Clustering Symptoms of Covid-19 Positive in Indonesia

This study aims to group the positive symptoms of covid-19 in Indonesia based on coronavirus symptom data. Some symptoms are characteristic of a person contracting positive coronavirus, usually causing respiratory infections, ranging from the common cold to serious diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). Like other respiratory diseases, COVID-19 can cause mild symptoms including colds, sore throats, coughs, and fevers. There are 14 main symptoms obtained from Indonesia's COVID-19 detention task force. The data was taken in August 2021. For grouping cases, this study used the K-Means Clustering method by using R studio software to analyze the data. After grouping, there are 3 groups of positive symptoms of covid-19 in Indonesia. Positive symptom grouping results are expected to provide feedback to policymakers to see which symptom groups need to take precedence.
Management Method of Intentional Violation of the Rules Based on Behavioral Economics

According safety management, the decision scheme of people could be divided into 3 kinds, i.e. compliance, minor violation and serious violation. The decision tree model was put forward that decision-making processing of violation behavior. From the consequence utility value and state probability view, the countermeasures of rational decision-maker for avoid violation were summarized by using utility theory. On this basis, combined with the behavioral economics concept point, such as reference dependent, subjective probability, loss-aversion and mental accounting, the decision model was modified and the countermeasures were perfected.
Model theory in a paraconsistent environment : Teoria de modelos num ambiente paraconsistente: Teoria de modelos num ambiente paraconsistente

Abstract: The purpose of this thesis is to develop a paraconsistent Model Theory from the basis launched by Walter Carnielli, Marcelo Esteban Coniglio, Rodrigo Podiack and Tarc\'{i}sio Rodrigues in the article 'On the Way to a Wider Model Theory: Completeness Theorems for First-Order Logics of Formal Inconsistency' of 2014. The pursuit of a deeper understanding of the phenomenon of paraconsistency from an epistemological point of view leads to a reasoning system based on the Logics of Formal Inconsistency. Models are regarded as states of knowledge and the concept of isomorphism is reformulated so as to give raise to a new concept that preserves a portion of the whole knowledge of each state. Based on this, a notion of refinement is created which may occur from inside or from outside the state. In the sequel, two important classical results, namely the Omitting Types Theorem and Craig's Interpolation Theorem are shown to hold in the new system and it is also shown that, if classical results in general are to hold in a paraconsistent system, then such a system should be in essence how it was developed here. Finally, an essay of what a paraconsistent PROLOG should be is made in the light of the ideas developed so far
AN APPROACH TO EXTENDING QUERY SENTENCE FOR SEMANTIC ORIENTED SEARCH ON KNOWLEDGE GRAPH

There are many applications related to semantic web, information retrieval, information extraction, and question answering applying ontologies in recent years. To avoid the conceptual and terminological confusion, an ontology is built as a taxonomy ontology which identifies and distinguishes concepts as well as terminology. It accomplishes this by specifying a set of generic concepts that characterizes the domain as well as their definitions and interrelationships. There are some methods to represent ontologies, such as Resource Description Framework (RDF), Web Ontology Language (OWL), databases etc. depending on the characteristic of data. RDF, OWL usually is used the cases when data structure is objects which the relationship among the objects is simple. But if the relationship among the objects is more complex, using databases for storing ontologies is an approach to be better. However, using relational databases do not sufficiently support the semantic orientated search by Structured Query Language (SQL) and the searching speed is slow. Therefore, this paper introduces an approach to extending query sentences for semantic oriented search on knowledge graph.
PENGARUH MODEL PROBLEM BASED INTRODUCTION TERHADAP PRESTASI BELAJAR IPS KOMPETENSI MENGENAL JENIS-JENIS USAHA DAN KEGIATAN EKONOMI DI INDONESIA SISWA KELAS V DI MI NW PESENG TAHUN PELAJARAN 2021/2022

The Effect of Problem Based Introduction (PBI) Model on Social Studies Learning Achievement Competence in Knowing Types of Business and Economic Activities in Indonesia Class V Students at MI NW Peseng Academic Year 2021/2022 This study aims to: (1). Knowing student learning outcomes through the application of the PBI Model in social studies learning (2) knowing student activities through the application of the Problem Based Introduction Model in social studies learning. This research was conducted in the form of Classroom Action Research. The stages carried out are: Action Planning, Action Implementation, Evaluation/Observation and Reflection. The subjects of this study were 24 students of class V semester 2 of the 2021/2022 academic year. The research data are: (1). Student learning outcomes were collected through learning outcomes tests. (2). Student activities were collected through observation guidelines. Data were analyzed descriptively qualitatively.From the results of data analysis found that: (1). The average student learning outcomes 70.77 classical completeness 83.33 % (2). Student activity in participating in learning increased at each meeting. Based on the results of the data above, the application of the PBI model can be used as a strategy in the learning process.
PENGGUNAAN MEDIA POSTER UNTUK MENINGKATKAN MINAT BACA DI KALANGAN MAHASISWA

This research is based on the lack of knowledge and the use of poster media in increasing reading interest among students. in connection with the development of print media. So, directly forcing to sharpen the observation of the information in circulation. This, causes that the progress of print media or science and technology affects the development of literacy. For this reason, poster media is a means of increasing the attractiveness of reading and providing significant changes for literacy advancement. Thus, poster media must provide different changes specifically for students to be more interested in reading interest. In addition, poster media provide encouragement and motivation as a driving force, a guide in a good direction. As for this study, the researcher wanted to know how much influence the poster media had to increase reading interest among students. This study uses a qualitative descriptive method that describes data and facts in the form of descriptions obtained through processing and collecting data through a questionnaire distributed via WhatsApp. The sample of this research was conducted on 10 students of IKIP Siliwangi in various departments. The results of this study of 9 people gave the answer that poster media made increased attractiveness in literacy and there were 7 people affected by poster media by giving answers, that posters were persuasive, which meant to attract attention by unifying images, writing colors, and words.
Automatic dual-axis solar tracker system using Image Processing

Solar energy is the most inexhaustible, renewable source of energy known to humanity. The energy extracted from photo-voltaic or any solar collector depends on solar irradiance. For maximum extraction of energy from the sun, the solar collector panel should always be normal to the incident radiation. Solar trackers move the solar collector to follow the sun’s path and keep the orientation of the solar collector at an optimal tilt angle. Solar tracking system improves substantially the energy efficiency of photo-voltaic panels. The aim of this project is to develop an Automatic Dual Axis Solar Tracker System with Image Processing in order to improve the efficiency of the solar panels.
Inter-sentence Relation Extraction Based on Relation-level Attention Mechanism

As an important part of NLP tasks such as question answering system, automatic abstract and machine translation, entity relation extraction occupies an important position. In most of the studies, the focus is on the extraction of intra-sentence entity relation, that is, the relation between entities appearing in the same sentence, which has achieved good results in various fields. Recently, the extraction of the relation between entities belonging to different sentences, which is called the extraction of inter-sentence entity relation, has become more and more popular. And it has achieved satisfactory results in certain fields such as medicine, journalism, chemistry and so on. This paper proposed a relation-level attention model based on Bert, we named it RGBert. The model is divided into three layers, first, Bert is used to extract the semantic meaning of the words between two inter-sentence entities, and it is used as the input of BiGRU. Then the output results are input to the attention layer, here we can get the weighted semantic representation. Finally, the results are output through two fully connected layers and a softmax layer. Experimental results on DocRED show that our RGBert model achieves significant improvements on inter-sentence relation extraction as comared with baselines.
Implementasi Data Mining Menggunakan Algoritma Fp-Growth pada Analisis Pola Pencurian Daya Listrik

Electricity is one of the main needs that is most widely used by the community, both for household needs and industrial needs. Due to the large number of people's needs for the use of electricity, some consumers commit fraud or theft of electric power to reduce usage costs so that they are not in accordance with the recorded power consumption. Therefore PT. PLN Persero forms a team for Controlling the Use of Electricity or P2TL which aims to examine and take action to resolve the PLN installation or the installation of electricity users from PLN. The problem that occurs in this case is that in looking at the types of electric power theft that occur to customers who commit fraud, they still use the manual method, which is to determine the type of electricity theft that mostly uses catches through the official report, thereby slowing down the P2TL party to determine the target of operation or the type of violation. potential that often occurs in the Padangsidimpuan UP3 area. The purpose of this study is to build a website-based information system using the fp-growth algorithm data mining which aims to make it easier for P2TL parties to see how patterns of electricity theft that often appear, making it easier for officers to determine operating targets more quickly. This research uses the fp-growth algorithm with the stage of generating the conditional patten base, the stage of generating the conditional pattern tree and the stage of searching for frequent items. The results obtained from this study are the percentage value of the level of certainty of each item that appears so that it can be used as a reference in determining the type of electric power theft pattern that often appears using a website-based information system.
The Problems Of Raising The Staff Efficiency In Military Education Institutions

The article is devoted to the issues of training military personnel in the context of independence of our country. Based on the analysis of the research done in this area, the author puts forward the directions of further strengthening and development of our national army on the basis of spiritual values. The article also shows the prospects of educating the younger military generation in the spirit of patriotism, based on the national historical experience.
EFFECTIVE MEDICAL TREATMENT AND MONITORING SYSTEM FOR BLOOD PRESSURE AND SATURATION OF OXYGEN LEVEL WITH TELEGRAM MESSAGE SERVICE

A lot of period, due to negligence of hospital staff, or insensitivity of relatives it may happen that medication is not observed correctly, and it may go ahead to cause heart attack or other life-threatening situations. Thus, this research study presents proposed systems which include arrangement of sensor tools and Internet of Things (IoT). Using this structure one can manage electrical energy equipment’s and monitor level of the medicine from a distant place and keep an eye on entire development. In this structure using IoT, one can normalize electrical appliances and constantly supervised patients from remote location. The internet of things technology is a innovative change maker for the health care engineering. It is changing healthcare field by dropping functioning costs and serving caretakers centre of attention on treating patients in a better mode. This method consists of a number of sensors. Controlling and data processing is done through the ESP8266, all the sensors are connected to Arduino Uno. Through this system, we can measure Temperature, heartbeat, and BP. Through sensors, it is possible to measure all these values. These values are then used for detecting any situation. In case of a critical situation, an alert can be given as a telegram message it is possible to monitor the person’s health from any location in the world through the mosquito server cloud. The project uses a MQTT protocol for monitoring patients. Condition through the mobile Application. The data from sensors is uploaded to the cloud server, periodically without any interruption if the internet is available. Through this system one can efficiently monitor patient’s condition.
SOA-GF: Spiral Optimized Algorithm with Gabor Filter for Automatic Lung Cancer detection and Classification

Lung cancer really has no earlier symptoms other than detecting some minute features pulmonary modules of a CT input image of a patient. The World Health Organization (WHO) report is not a good sign for doctors, radiologists, patients and the entire mankind. Computer Aided Detection (CAD) systems play a vital role in detecting these nodules and also help in minimizing the human error while processing a CT image. Many deep learning algorithms have been proposed in the recent past and produced significant results in bio-medical image processing. In this paper, we propose a Spiral Optimization Algorithm along with Gabor filter (SOA-GF) to perform feature extraction on the undertaken CT input group images. The classification was performed with Naive Bayes, Random Tree, Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN). The experimentation results have shown that the algorithm performs well will all the classification techniques of this study, yet, its combination with CNN delivered better accuracy of 87.67% compared to other classification methods. The results were presented in both tabular values and graphical representation.
Students’ Reading Difficulties At Indonesian Junior High School Level

This research focuses on the difficulties faced by the first grade students of Junior High School Level in reading comprehension. The objectives of the research were to find out the difficulties faced by the first grade students of Junior High School 2 Serang City and the factors of difficulties in reading comprehension. Descriptive quantitative was applied as the method in this research, where the test and questionnaire were used as the instruments of the data. The test consisted of 20 items of question divided into five types of questions, which were main idea, detail information, making inferences, locating reference and vocabulary. Index difficulty and percentage were used to analyze the data. The result of the test showed that the majority of first grade students of Junior High School 2 Serang City found difficulties including answering main idea, making inference, and locating reference questions. The most difficult aspect faced by the students of Junior High School 2 Serang City was finding main idea questions, because the located main idea was difficult to find. Moreover, based on the students’ responses in questionnaire, they mostly got difficulties in understanding vocabulary, poor mastery of grammar, the difficulty in understanding long sentences, lack of knowledge of strategies in reading skill.
Opportunities and Challenges for Reflective Data-Objects in Long-Distance Relationships

Personal data representations have been used to support acts of self-reflection, a topic that has received little attention in the context of long-distance relationships (LDRs). To explore a design space for reflective data representations in the LDR context, first-person methods have been employed together with nine generative sessions with people who had been or were in LDRs. Unlike previous work, the generative sessions were part of an autoethnographic exploration. The participants interpreted the first author’s visualizations, sketched their own visualizations, and imagined their data as data objects. The insights from those sense-making sessions were then analyzed in a card sorting activity between the first author and their partner where seven themes around communication of long-distance couples emerged. Furthermore, based on the data-object ideas and the various sense making sessions, design opportunities and challenges are drawn related to the transformative nature of relationships, negative reflection and aspects of privacy. In conclusion, personal data are seen as co-evolving with humans constantly transforming people’s impression of their romantic relationships in mundane environments.
Method of extraction of feature in the classification of texts for authorship attribution

The authorship attribution has been analyzed mainly through the classification of texts, the process of the extraction of features has been carried out under two approaches: based on profile and instances, through the analysis of textual features or linguistic features that allow finding the style of author's writing. In profile and instance approaches, extracting features from the authors' set of documents results in high feature dimensionality that can impair classification performance.Therefore, an approach that does not depend on the set of documents for the extraction of features and does not depend on the selection of features is proposed, the classification of texts was carried out with different supervised learning methods. In the present investigation, it is determined if all the features of an author are contained in a single document that describe their writing style. For the experimentation, we worked with three corpus (C10, C50 and PAN12), these were selected based on the review of the literature. According to the results obtained, it was concluded that the approach shows results superior to the state of the art in unbalanced samples, consistent results when evaluated in different contexts and robust when analyzing 10 or 50 authors.From this approach it is determined that in 500 words without repeating the writing style of an author is contained, presenting a classification accuracy of 79.68%
Subject Research, Course Guides, Documentation: Hyperlinked Stories with Twine: Saving and Sharing Your Work

This guide introduces Twine as a lightweight and open-source tool to craft your own hyperlinked stories and games.
SHARED NETWORKS: THE PATHS OF LATIN-CENTRIC INDIGENOUS NETWORKS TO A PLURIVERSAL INTERNET

This research paper examines the emergence of shared networks in Tseltal and Zapoteco communities in Chiapas and Oaxaca (Mexico): internet first mile signal-sharing practices that articulate interconnection infrastructure and coexistence values to extend the internet to areas where the services of existing larger internet service providers are unsatisfactory or unavailable. In the case studies analyzed, indigenous people become internet codesigners by infrastructuring for their own local networks and interconnecting to the global internet. The paper argues that a hybrid materializes at the level of network interconnection when comunalidad, or the way of these communities, supported by unlicensed frequencies of the electromagnetic spectrum, towers, radio antennas, houses rooftops, routers, and cables meet the values of the internet service providers and their policies. Shared networks are a result of what these arrangements both enact and constrain, and the evidence of vivid struggles of Latin-centric indigenous networks towards a pluriversal internet.
Educational and Professional Reflection As a Factor in the Adaptation of Students to Online-Learning

A higher than average level of educational and professional reflection of students in the conditions of online-learning was revealed, characterized by a higher than average degree of reflection of interaction in society, activities in the future, oneself and the system plan, pragmatic, reflective and theorizing types, as well as average active type, introspective and false (quasi) reflection, reflection of activity in the past and present. It is proved that the above average level of educational and professional reflection is a factor in the adaptation of students to online-learning
Enhancing science students’ participation in writing argumentative essays in Biology class through a genre-based approach (an action research)

ABSTRAK&#x0D; Metode genre based telah dipakai dalam banyak studi. Metode ini juga memberikan banyak kontribusi terhadap peningkatan mutu penulisan dalam berbagai konteks pelajaran. Tujuan dari penelitian ini adalah untuk meningkatkan partisipasi siswa kelas IPA dalam menulis teks argumentasi pada pelajaran biologi dengan menggunakan metode genre based di SMAN 1 Kupang Timur. Penelitian ini menggunakan metode penelitan tindakan kelas yang terdiri dari dua fase. 41 siswa kelas IPA pada SMAN 1 Kupang Timur terlibat dalam penelitian ini. Metode genre based ini diaplikasikan selama empat kali pelatihan selama satu bulan berfokus pada bagaimana siswa menulis teks argumentasi dalam pelajaran biologi. Teks argumentasi siswa dinilai dengan menggunakan penilaian “systemic functional grammar” dalam pemberian pre-test dan postest. Hasil penelitian menunjukan bahwa metode genre based meningkatkan partisipasi dan nilai menulis siswa kelas IPA.&#x0D; &#x0D; Kata Kunci: pendekatan genre-based, teks argumenatsi, penelitian tindakan, systemic functional grammar&#x0D; ABSTRACT&#x0D; Genre-based approach has been used frequently in many studies. It has been shown in any number of studies to contribute to the development of writing across different contexts. The main purpose of the research was to increase science students’ participation in argumentative essay writing using a genre-based approach at SMAN 1 Kupang Timur. This study applied an action research method which was comprised of two cycles. 41 students at SMAN 1 Kupang Timur participated in the study. A genre-based approach was applied four times over the course of a month to teach the students how to write argumentative essays. Students’ argumentative essays were measured by the systemic functional grammar framework in pretest and post-test. The research findings indicated that the genre-based approach increased students’ participation and scores in argumentative writing.&#x0D; &#x0D; Key words: genre-based approach, argumentative texts, action research, systemic functional grammar&#x0D; &#x0D;