Reviewerly/exHarmony huggingface dataset:
THE IMPLEMENTATION OF READ-EXAMINE-DECIDE-WRITE (REDW) STRATEGY TO IMPROVE READING COMPREHENSION ON DESCRIPTIVE TEXT TO THE TENTH GRADE STUDENTS OF SMK N 1 TABANAN

This research aimed at describing Read-Examine-Decide-Write (REDW)strategy in  improving reading comprehension on descriptive text to the tenth grade students of  Office Administration 2Department at SMK N 1 Tabanan. The subjects of this research were 26 students. Data collection techniques used consisted of observations, teacher’s interview and tests. The data were analyzed by using qualitative and quantitative data analysis. The result of this research indicated that students' reading ability in reading comprehension on description text improved by using the Read Examine, Decide, Write strategy. Before the research was completed, the students' average reading ability score was only 63.84. The mean increased in cycle I and cycle II indicating the values of 69.61 and 77.88.  Meanwhile, the improvement toward pre-test and pos-test 1 was 9,03 and the improvement on pre-test and pos-test 2 was 21,99. The conclusion of this research is the implementation REDW strategy can improve students’ reading comprehension on descriptive text.
Depression Therapy Using Chatbot

The objective of this paper is to build a Web Application based on Virtual voice and chat Assistant. The current study focuses on development of voice and text/chat bot specifically. It is specially being built for people who feel depressed and insists them to talk open mindedly which in turn pacifies them. As the name of the application suggests, App: An application to pacify people and make them as happy as a cat would be with his or her mother (the reason why a cat purrs). We will be using Dialog flow for the application design and Machine Learning as a part of Artificial Intelligence for Natural Language Processing (NLP), an easiest way to use Machine Learning libraries. At the back-end we will be using a database to store the communication history between the user and the bot. This application will only work on devices with Web operating system version-5.0 and above.
A graphical data analysis tool for dataset enhancement and preprocessing

This thesis describes the development of DataMole, a new tool written in Python, equipped with a Qt-based graphical interface, that can support researchers during data exploration and preprocessing activities. Data transformation pipelines can be defined and executed within a simple, user-friendly graphical environment, effectively providing an intuitive approach to data manipulation. The tool also embeds functionalities for data visualisation through interactive plots, like scatterplots and line charts, and provides a specific feature for the extraction of time series from longitudinal datasets
Evaluasi Tujuan Pembelajaran dalam Rencana Pelaksanaan Pembelajaran (RPP): Implementasi Standar Proses pada Pembelajaran Sastra

The preparation and development of the lesson plan is a hallmark of teacher professionalism. To support the learning process, teachers must arrange lesson plans according to standards. The preparation of the RPP standards must pay attention to the core components of the RPP, one of which consists of learning objectives. For this reason, an RPP evaluation is needed to determine the quality of the learning being done. Based on this, this article aims to evaluate the learning objectives in the CSP literary learning. The method used in this research is descriptive evaluative. Evaluation of learning objectives is based on the classification (grouping) of learning objectives into the learning domain, the suitability of the main steps (sequences) needed to achieve the objectives, and the completeness of the learning objectives component. The results show that the formulation of learning objectives in the three lesson plans analyzed did not fully meet the ideal learning objectives. The evaluation is expected to provide input and follow up efforts for improvement and decision making.
The Path of the Development of Socialist Advanced Culture in Universities Based on AHP-Fuzzy Evaluation

The development of socialist advanced culture in universities is an inevitable requirement for strengthening the mainstream ideology education in universities, and it is also an urgent need to realize the goal of college campus culture education. As the main front for disseminating cultural knowledge, colleges and universities must always adhere to the advanced socialist culture and promote the all-round development of students. This paper aims to use AHP-fuzzy to evaluate the development of advanced socialist culture in universities, and to provide a reliable path for the development of advanced socialist culture in the field according to the weight distribution of fuzzy evaluation results.
Buku Panduan Menulis Karangan Narasi Dengan Media Big Book Dua Dimensi

This study aims to develop a medium for learning Indonesian language on material studying narrative essays, and measuring the feasibility, practicality, and effectiveness of the media developed. The low narrative essay writing skills in students are caused by a lack of innovation in the use of learning media. Teachers in the classroom have not used the media in learning Indonesian especially in narrative essay writing material, which makes it difficult for students to understand the material contained in learning. By not using media in classroom learning, students can not be interested in the learning process in the classroom. This research uses research and development (R & D) methods.The research method used by researchers included the development research, and used the ADDIE model with five stages, namely: Analysis, Design, Development, Implementation, Evaluation. The test subjects were 15 fourth grade students of Sukolilo Elementary School 01 Wajak District. The data collection instrument used was a questionnaire for the validation of material experts, linguists, media experts, and practitioners (teachers), unstructured interviews, and documentation. The data analysis technique uses descriptive qualitative and quantitative. The results of this study in the form of developing a guidebook for writing narratives with twodimensional Big Book media using the ADDIE model and obtaining an evaluation by media experts with a percentage of 89.8%. Assessment by material experts received a percentage of 84.6%. Assessment by linguists gets a percentage of 94.5%. Assessment by practitioners scored with an average of 3.5. Assessment of student responses gets an average score of 3.6. Based on the explanation of the results of the above assessment, the manual for writing narratives with two-dimensional Big Book media is categorized as Eligible, because the exposure from the validator and teacher states that two-dimensional Big Book media is very effective in learning or Good for use in the field, because able to attract students' interest in learning to write narrative stories and be able to facilitate students in understanding narrative writing material. So the guidebook for writing narratives with two-dimensional Big Book media can be used as a teacher's reference as a learning medium in the learning process in the classroom.
Introduction to Containerization

Are you a software engineer/developer/coder or maybe even a tech enthusiast who is thinking of agility, parallel development and reducing cost. In the early twentieth century, we witnessed the rise of Service Oriented Architecture (SOA), which is a software architecture pattern that allows us to construct large-scale enterprise applications that require us to integrate multiple services, each of which is made over different platforms and languages through a common communication mechanism, where we write code and multiple services talk to each other’s for a business use case, but sometimes we end up with one big monolithic code base whose maintenance becomes difficult. Nowadays clients are using cloud and paying for on-demand services without effectively utilizing resources. These problems invite micro-services. In this paper, I am going to discuss how one should use scale application in a production environment and local machine
LibGuides: Education & Technology: Online Resources

This Library Guide will help students find the resources they need for their education research.
Echo State Networks Usage for Stock Price Predictions

The subject of research is the consideration of potential use of Echo State Networks (ESN) for prediction of stock prices.The reasons are: 1) stock prices show non stationary behaviour and ESN is well suited to time series prediction of chaotic systems; 2) implementation in optical domain can bring very fast inference and financial market transactions requires prompt brought decisions; 3) training time of ESN is short and doesn't require special hardware like training deep Feedforward Neural Network (NNs).Although there is only a few studies about using ESN for prediction financial data (pricing of securities subject of trade, and their volumes), it can be concluded than ESNs have great potential to be used in prediction of the stock prices.Having in mind the intention of the Serbian government to stimulate issuing of bonds, ESN can be applied on Belgrade Stock Exchange.
Kemampuan Guru dalam Menstimulasi Minat Belajar Siswa Kelas VIII-3 Madrasah Tsanawiyah Negeri 1 Balikpapan Mata Pelajaran IPS Melalui Model Problem Based Learning

Based on surveys and the first observations of writer at the Madrasah Tsanawiyah Negeri 1 Balikpapan, enthusiastic students in participating in learning materials can take various forms depending on each teacher who presents with the learning design they display. One way is to use the learning model. According to the opinion of the author most learning materials that use learning models are usually followed by students with enthusiasm and positive responses, so that in the learning process there is an active interaction and communication between teacher and students. Data collection techniques in this study are: observation, documentation and tests. Furthermore, the data were analyzed using descriptive qualitative analysis methods, namely describing the data obtained through research instruments. Based on the results of the author's explanation in the previous chapter, the following conclusions can be drawn: The results obtained from cycle I to cycle II have increased the average value of 73.38 to 80.58. Meanwhile, when compared to the time before the action, the average initial condition value was 63.82 to 73.38. The actions taken in the first cycle and second cycle prove that 63.82 to 73.38 can stimulate the interest in learning social studies students of class VIII-2 MTs Balikpapan. So it can be concluded that, the implementation and application of learning by using the problem based lerarning (PBL) model can stimulate student interest in learning so as to improve social studies learning outcomes. Based on the final results studied, the percentage increase at the end of the cycle amounted to 91.17%, which means that this figure is greater than the standard indicator that is 75% (91.17%&gt; 75%). So it can be concluded that the hypothesis "Problem Based Learning Model Learning can stimulate students' interest in learning for Class VIII-2 in Social Studies in MTs Negeri 1 Balikpapan", was accepted.
SUNTIK RAYAP UPAYA PELESTARIAN BAHAN PUSTAKA DI PERPUSTAKAAN UIN RADEN FATAH PALEMBANG

Library material damage in the library occurs due to various factors including factors characteristic of library materials, enviromental factors and biota factors. This research was conducted with the aim to find out the factors causing damage to library materials at UIN Raden Fatah Palembang library and find solutions to overcome them. This research is a qualitative descriptive study, using verbal data si words, sentences and images. Sources of data in this study are person, place and paper. The person who is the source of data in this study is the coordinator in the field of circulation services. Place is the central library of UIN Raden Fatah Palembang. Whreas paper is library documents such as damaged data racks adn book colellection. Data collection techniques used in this study were obseravtion, interviews and documentation. The result of this study indicate that damage to shelves and library collections is caused by termites. For damaged collections removed from the shelves and repaired according to the level of damage if possible and replace wooden shelves with iron shelves. While the termites are eradicated by injection and spraying cabinets and termite nests with anti-terminate chemical into the holes that have been drilled on the floor around the library.
ANALISIS WEB USAGE MINING MENGGUNAKAN METODE MODIFIED GUSTAFSON – KESSEL CLUSTERING DAN ASSOCIATION RULE PADA WEBSITE UNIVERSITAS DIPONEGORO

The comprehension of web visitors patterns are needed to develop website in an optimal fashion. The visitor pattern contained in the web log file of Diponegoro University’s website is clustered by Modified Gustafson-Kessel method. In general, this method produces two until six clusters. Two kinds of results are outlined in this paper. The first is the result contains two clusters, and the second is containing three clusters. In the first result, the visitors are divided into information seekers of student capacity and Engineering Faculty. In the second result, the visitors are divided into information seekers of Medicine Faculty, student admission and Engineering Faculty.
DECISION SUPPORT SYSTEM DETERMINATION OF THE SCHOLARSHIP BY THE METHOD OF PROFILE MATCHING IN THE EIF2C STUDY COURSE THE RANGE OF WEB-BASED

EIF2C study course range is one of the courses that is engaged in education. EIF2C study course range established since 2010 based on notarial deed of maritime notary, Sh, m.kn, dated 20 August 2019, no.20.EIF2C study course range has 39 The current students are related to only 4 people who will get a scholarship. EIF2C study course range is still difficult in determining the students who will get the scholarship. The selection of scholarship receipt on EIF2C study course range is done only based on academic value, this does not guarantee the result of evenly distributed election And in accordance with the original conditions in each student. Decision support systems will give an important value in the selection of scholarship acceptance based on several supporting criteria
Clustering Productivity of Rice in Karawang Regency Using the Fuzzy C-Means Method

Rice is a major food commodity that has a strategic role in the development of community nutrition, agriculture and the economy in Indonesia. Karawang Regency is known as a city of rice barns which is one of the largest rice producing and supplying regions in the province of West Java and even Indonesia. The importance of rice as a staple food in Karawang Regency needs to ensure rice productivity remains stable. Data Mining is a data mining technique that produces an output in the form of knowledge. The purpose of this study is to classify the productivity of rice plants so as to know the area of high rice productivity in Karawang Regency. The data used in this study were 180 data from 30 districts. Data grouping will use the Fuzzy C-Means (FCM) algorithm which is a data clustering technique where the existence of each data point in a cluster is determined by the degree of membership. With Silhouette Coefficient evaluation techniques the results of clustering obtained in 2010, 2011, 2013, 2014 and 2015 show that the results of grouping have a good structure that is above 0.5. Only in 2012 showed that the grouping results had a weak structure of 0.49.
CSR INITIATIVES: THE PREDICTOR OF FINANCIAL PERFORMANCE IN ENERGY SECTOR

The purpose of this research was to investigate the relationship between Corporate Social Responsibility (CSR) and the financial performance for publicly-traded firms operating in the energy sector. The energy sector has a unique role to play in global CSR efforts because of the size of the firms within that industry, the impact on the environment, and the operational risks that come with energy production. Previous research has been conducted on the relationship between CSR engagement and financial performancein various contexts, but this research has shown mixed outcomes– in some cases there is a positive relationship between CSR and performance while in other studies the research is non-existent or marginal. Thus, the research question for this study addresses a significant gap in the understanding of this topic by exploring the relationship between CSR and firm performance in a contextualized setting of the energy sector. The dependent variable was a series of three financial metrics –returnon assets (ROA), return on equity (ROE), and EBITDA. This study looked into convenience sampling method and the population in this study was employees who were currently employed in an energy sector company in Malaysia.
Analisis Sentimen Dewan Perwakilan Rakyat Dengan Algoritma Klasifikasi Berbasis Particle Swarm Optimization

anggota legislatif; sentimen analisis; support vector machine; naive bayes; particle swarm optimization.
THE TENTH GRADERS’ PERCEPTIONS ABOUT COLLABORATIVE LEARNING TO IMPROVE ENGLISH SPEAKING SKILLS

Collaborative learning is a method where students learn by working together to achieve a task or goal. The implementation of this method can be maximized by using games. This study aims to find out how collaborative learning with games influenced English speaking skills of the tenth-grader students, and what challenges were faced in doing collaborative learning games. The study was completed using a qualitative descriptive design and was conducted with 20 tenth-grade students at a private senior high school in Salatiga, Indonesia. To explore the students’ views on the use of the collaborative learning with games, all 20 students were asked to fill in a questionnaire and four selected students then completed a semi-structured interview. The data were then analyzed by thematic analysis. The findings revealed a positive result from the students on the use of collaborative learning activities. The study also provides some pedagogical implications and suggestions for further investigations
PERANCANGAN DAN IMPLEMENTASI WLAN BERBASIS MIKROTIK MENGGUNAKAN METODE VLAN PADA PERUMAHAN MITRA CENTER SAGULUNG BATAM

Mitra Center is one of the residential areas in Sagulung District with a small area located in Kel. Sungai Langkai, Kec.Sagulung, Riau Islands, Batam City. Wired network infrastructure that is only provided by one ISP in this location has disappointed residents becouse has been limited. As a result residents buy a GSM data package that is also not cheap. Therefore researchers try to build a network based on Wireless Local Area Network (WLAN). Residents registered in this place are more or less 40 family cards (KK), the location of this place is classified as small and not extensive, which only has 4 blocks residential area. After conducting observations and interviews with several residents, consumption of internet access is relatively high, they are commonly complained when using GSM data packages becouse is not enough to buy once a month. Some of them interested using the wired internet provided by ISP like Indihome, but currently the available network is empty. Therefore, researchers designed a WLAN by utilizing an indihome connection that would be upgraded to 50Mbps to be allocated to WLAN users with a fair usage and optimization sharing mechanism, and adjusting needs based on data obtained during the data collection.
Novel Gaussian State Estimator based on H2 Norm and Steady-State Variance

This paper proposes a novel state estimator for discrete-time linear systems with Gaussian noise. The proposed algorithm is a fixed-gain filter, whose observer structure is more general than Kalman one for linear time-invariant systems. Therefore, the steady-state variance of the estimation error is minimized. For white noise stochastic processes, this performance criterion is reduced to the square H2 norm of a given linear time-invariant system. Then, the proposed algorithm is called observer H2 filter (OH2F). This is the standard Wiener-Hopf or Kalman-Bucy filtering problem. As the Kalman predictor and Kalman filter are well-known solutions for such a problem, they are revisited.
Fuzzy system for economy back on track

This special issue of the Journal of Intelligent &amp; Fuzzy Systems contains selected articles of fuzzy system for economy back on track.
Thoughts on Modeling [Student's Corner]

Discusses the concept of designing descriptive models for software robotics.
통일 대비 국어 문법 교재 개발의 쟁점 - 내용 관련 쟁점을 중심으로 -

The purpose of this paper is to analyze what could be the main issues related to contents when developing the Korean grammar textbook for unification, which is used jointly by the two Koreas during the transition period before unification. To this end, we compared the contents of grammar education dealt with in textbooks related to the Korean language of the two Koreas. As a result, we identified four major issues that could be raised in the process of developing Korean grammar textbook for unification as (1) content weight by grammar area; (2) characteristics of grammar education contents by school level; (3) contents scope and perspective for the same grammar item; and (4) standardization of school grammar terminology. A separate discussion will be needed for each issue on how to resolve each issue for the development of a unified grammar textbook.
Gentzen’s Sequent Calculus LK

This chapter introduces the original sequent calculus of Gentzen, called LK (der Logistische Kalkül). In sections 2.2–2.3. we investigate some applications of cut concerning the equivalence of some forms of sequents and sequent rules and some invertibility results. Then we focus on different strategies of proving the cut elimination/admissibility theorem, dividing them on local and global proofs. The former are based on small transformations of particular steps of a proof. The latter are based on transformations of the whole proofs of the premisses of cut. Section 2.6 and 2.7 contain a discussion of decidability proof for LK and Kleene’s result concerning permutability of rules.
La importancia de las habilidades blandas en la docencia universitaria

The university challenges teaching today is soft skills the implementation of within the training of future professional. That is because a large number of educational institutions promoted strategies have to strengthen learning associated with hard skills, such as the use of tools specific to each academic program. For this reason, necessary to integrate soft skills into the curricular content, so that graduates of higher education institutions have emotional tools for the development of their personal and work life. In this context, authors such as Goleman and his contribution Emotional Literacy, to strengthen the teaching processes of soft skills, argue that teachers and students must strengthen skills such as leadership, social promotion and collaborative work inside and outside the classroom. Likewise, it’s necessary to integrate changes in the evaluative model to take into account soft skills, since currently, the tests carried out by higher education institutions are standardized by measuring the level of knowledge against a topic, but they do not allow to identify progress and development of these soft skills in students. That is why positive emotions must be promoted during the process of learning of the student, in order to favor remembering order.