Reviewerly/exHarmony huggingface dataset:
IMPROVING STUDENTSâ€™ READING COMPREHENSION THROUGH CONTEXT CLUES STRATEGY AT THE EIGHTH GRADE OF SMP DHARMA WANITA MEDAN

Reading is one of the four language skills in English, they are listening, speaking, reading and writing. Students get bored with reading and it is very difficult for them to work with it because they do not understand how to comprehend a reading material. Thus, they need some ways or strategy which could help studentsâ€™s reading comprehension on narrative text. The teacher should be creative to search for interesting strategy to teach reading comprehension on narrative text. Context Clues strategy can help the students to understand a narrative text. The objectives of this study to find out the studentsâ€™ reading comprehension by Context Clues strategy. The subject of this study were the eighth grade students of SMP Dharma Wanita Medan. In conducting this research the writer used Classroom Action Research (CAR) as the method of research. The test was used to gather the quantitative data. Based on the finding of this study, it showed in pre-test only 3 students (10%) who passed KKM (the Mastery Minimum Criteria), andÂ post test 27 students (90%). The result of this research revealed that there was a significant improvement of the studentsâ€™ achievement in the post test. This improvement was shown by the comparison between the mean scrore of pre-test (47,26), and post test (80.33). Furthermore, the students were interested in Context Clues Strategy, it can be seen from their full attention during the teaching learning process. Therefore, Context Clues Startegy was effective strategy in helping students to improve their reading comprehension especially in narrative text.
ON THE DEFINITION OF A PROFESSIONAL (OFFICIAL) CAREER OF AN EMPLOYEE

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Social Media Content – Coding Analysis of Sexual Assault Allegations

The purpose of this study is to examine news stories on two popular social media platforms -Facebook and Twitterand see what attributions are made regarding alleged female sexual assault victims via the online comments section.This study will look at three prominent male alleged offenders in Harvey Weinstein, Bill Cosby and Brett Kavanaugh and compare comments on both Facebook and Twitter on three different news stories by The Washington Post involving their alleged victims.Using a completely qualitative coding analysis and descriptive statistics, this study will examine whether labeling theory and stigma play a role in these attributions and also explore further conditions that might influence a person's ideas of the alleged victim and if power, prestige and authority play a role in how the public views alleged sexual allegations.
Impact of Pb-Zn Mining on Heavy Metal Levels in Soil from Arufu Mine Field, Wukari, Nigeria

Analysis of soil around the vicinity of Arufu mine field was conducted in order to ascertain the impact of mining on the environment. Concentrations of trace metals associated with Pb – Zn – barite mineralization were determine in soils using atomic absorption spectrophotometer (AAS) Varian AA 240, after acid digestion with a mixture of 1:1 hydrofluoric acid and aqua regia. Mean concentrations (µg/g) of metals ranged from 5.72 (As) – 451.44 (Pb) in dry season and 1.32 (Cd) – 504.61 (Pb) in wet season. Index of geoaccumulation were in the following order of increasing magnitude: Cu &lt; Zn &lt; As &lt; Pb &lt; Ag for dry season and Cu &lt; As &lt; Zn &lt; Cd &lt; Pb for wet season. On the other hand, soil enrichment ratio ranged from Cu (1.06) – Ag (126.18) and Cu (1.35) – Pb (34.10) in dry and wet season respectively. Levels of metals measured were higher than their corresponding values reported for soil in the upper continental crusts. Toxic metal (Pb) has its mean concentration above maximum tolerance level while Zn and As levels were below the maximum tolerable levels. The presence of Pb above maximum tolerance level may render the soil unsuitable for agricultural practices, hence high impacts of Pb – Zn mining in the study area.
Traffic Density Classification Using Twitter Data and GPS Based On Android Application

Increasing the number of vehicles in Special Region of Yogyakarta caused by congestion occurred at various traffic points in Special Region of Yogyakarta. The solution to reducing congestion is by increasing the use of public transportation within the city, but it still not in demand by the public. Optimizing daily activities, community always tries to avoid the traffic density on the road to be bypassed.Some research on social media has been used to detect traffic density anomalies. However, the system still cannot provide traffic density information on roads that will be passed by the user because it is just a mapping. Based on this problem, this study aims to classify the traffic density on the road that will be passed by users in the Special Region of Yogyakarta into the category of high traffic and low traffic by utilizing Twitter and GPS data.The results show that Android Applications are able to classify traffic density on the road to be traversed using Geonames.org API. Using the naïve bayes classification algorithm, the system can classify traffic density on 14 streets with an average accuracy of 77.5%, 90% precision, 79.1% recall, and 82.8% f-score.
IMPROVING STUDENTSâ€™ SPEAKING SKILL THROUGH PRESENTATION, PRACTICE AND PRODUCTION METHOD TO THE ELEVENTH GRADE STUDENTS OF SMA SWASTA KATOLIK BUDI MURNI 2 MEDAN

This research was conducted in order to improve studentsâ€™ speaking skill through Presentation, Practice and Production method to the eleventh grade students of SMA Swasta Katolik Budi Murni 2 Medan. In conducting this research, the writer used Classroom Action Research (CAR). This research showed that teaching speaking skill through Presentation, Practice and Production method to the eleventh grade students of SMA Swasta Katolik Budi Murni 2 Medan could improve their speaking skill. The result of the test showed that the studentsâ€™ mean score in pre-test is 58.37 with 5.71% of the students got score â‰¥75, in formative test the mean score is 67.45 with 32.28% of the students got score â‰¥75, and in post-test the mean score is 77.31 with 65.71% of the students got score â‰¥75. The writer concluded that Presentation, Practice and Production method could improve the speaking skill of the eleventh grade students of SMA Swasta Katolik Budi Murni 2 Medan. On the other hand, the studentsâ€™ responses towards the method of the teaching sound good because above 80% of the students are interested, motivated and understand the lesson with the Presentation, Practice and Production method.
The Effects of Administrative Empowerment on Employees Job Satisfaction in Five-star Resorts in Hurghada City

Administrative empowerment is a critical process for the employees, as it is a contemporary concept that leads the employee to achieve high levels of collaboration, teamwork, self-confidence, creativity, independent thinking and entrepreneurship. In general, the hotel managers play an important role in empowering their employees by giving them the information and responsibilities of the work, as well as, providing an atmosphere of trust between the management levels that help employees in decision-making. Additionally, administrative empowerment gives employees more flexibility and empowerment that help them to improve their performance and loyalty to the work. The study aims to identify the extent of the implementation of administrative empowerment of the employees in five-star resorts in Hurghada City, and its impact on job satisfaction. The study sample consists of employees of the five-star resorts in Hurghada City. This research is applied in 23 resorts of Hurghada City in Egypt. It adopts a quantitative approach for achieving its aims and desired objectives. A convenient sample was selected consisting of 500 hotel staff with an average of 72.4% response rate. A questionnaire is used for collecting data which is later analysed using SPSS version 24. The results indicate that administrative empowerment and its dimensions have a positive effect on job satisfaction. According to the results, the study proves that there is a strong correlation between administrative empowerment and employee's satisfaction in the five-star resorts in Hurghada City. It also recommends that hotel resorts empower and strengthen their employees by trusting in them, giving them the authority to carry out their tasks without consulting the administration, encouraging teamwork and providing them with appropriate training programs as well as communication channels for contacting with senior management. This study contributes to identifying the concept of administrative empowerment, its importance and dimensions as well as enriching the studies on the relation between administrative empowerment and its impact on job satisfaction. However, there is a lack of studies that show the effect of administrative empowerment on job satisfaction in the resorts in Egypt, especially in Hurghada resorts.
Intro to Coding Using Python at the Worcester Public Library

The Worcester Public Library (WPL) offers several Digital Learning courses to our adult patrons, and among them is “Intro to Coding Using Python”. This 6-session class teaches basic programming concepts and the vocabulary of software development. It prepares students to take more intensive, college-level classes. &#x0D; The Bureau of Labor Statistics predicts a bright future for software developers, web developers, and software engineers. WPL is committed to helping patrons increase their “hireability” and we believe our Python class will help patrons break into these lucrative and gratifying professions… or just have fun.
Regenerasi Fungsi x&lt;sup&gt;2&lt;/sup&gt;-9x-99 Dalam Pembangkit Bilangan Acak Berbasis CSRPNG Chaos

This study examines whether the function f(x)=x2-9x-99 can be used as a key generator in cryptography. The quadratic function is regenerated using the fixed point iteration method into an iteration function. The distribution of digits to the output of iterative function to generate a number of chaos. Randomization testing uses run test and monobit testing. Followed by cryptographic testing to get the correlation between ciphertext and key which will be used as a decision whether the resulting key is random or not. Based on research that has been done iteration function xi = (xi-12-9xi-1-99)/9 can generate CSRPNG Chaos random numbers with the correlation level closest to the value of 0.
SELF INTRODUCING AND WORK ETHICS IN JAPANESE COMPANIES

&lt;p&gt;&lt;em&gt;Japanese workers are known for their high morale while they have been working. As the employment of Japanese companies/factory, they tend to do their work in a team. Therefore, for Indonesian workers who want to collaborate with Japanese workers, they must have the ability to communicate of Japanese language and culture of the work. One of the things that must be known to have communication with Japanese people is knowing how to introduce yourself, or referred to as jikoshoukai in Japanese. The purpose of this research was to find out the expressions used by Japanese people when introducing themselves or being introduced in several of working places in Japanese companies. Besides, knowing ethics in getting acquainted with Japanese companies. Data obtained from Japanese textbooks. The results obtained that when introducing yourself in Japanese, several things should be considered, first, using polite language such as being able to use opening greetings such as hajimemashite, and closing greeting yoroshiku onegaishimasu. Second, mention the job position in the company. Third, good posture by bending down, and the four workers should prepare a business card.&lt;/em&gt;&lt;/p&gt;
Research on the Realization Path of Application-Oriented University

The construction of Application-oriented Colleges and universities is a new mission entrusted to higher education by economic and social development.At present, there are a series of problems in the construction of application-oriented universities, such as inadequate understanding of the connotation of application-oriented universities, unclear development orientation, and ineffective evaluation methods.It can effectively strengthen the construction of Application-oriented Colleges and universities by inheriting and carrying forward the excellent tradition of running schools, defining the development goals and positioning, constructing the discipline and specialty system, and improving the connotation construction level of colleges and universities.
Environmental Sensitivity Evaluation of Neural Networks in Unmanned Vehicle Perception Module

For autonomous driving of unmanned vehicles in intelligent transportation systems, multi-vehicle cooperative perception supported by vehicular networks can greatly improve the accuracy and reliability of the perception decisions. Currently, the perception decisions for a single vehicle are mostly provided by neural networks. Therefore, in order to fuse the perception decisions from multiple vehicles, the credibility of the neural network outputs needs to be studied. Among various factors, the environment is one of the most important affecting vehicles' perception decisions. In this paper, we propose a new evaluation criteria for the neural networks used in the perception module of unmanned vehicles. This criterion is termed as Environmental Sensitivity (ES), indicates the sensitivity of the network to environmental changes. We design an algorithm to quantitatively measure the ES value of different perception networks based on the extracted features. Experimental results show that our algorithm can well capture the sensitivity of the network in different environments and the ES values will be helpful to the subsequent decision fusion process.
THE INFLUENCE OF VIDEO MEDIA ON THE PREPARAEDNESS IN FACING FLOOD DISASTERS IN ELEMENTARY SCHOOL IN BENGKULU CITY

BackgroundFlood disasters can cause material losses and fatalities, especially in the city of Bengkulu. Disaster preparedness is needed from an early age in order to reduce the impact of disaster risk. Elementary school students are still had lack of knowledge about preparedness in dealing with floods, in general. Bengkulu Elementary School (SDN) 103 is one of the schools affected by flooding when the River Basin (DAS) is unable to accommodate river water discharge.ObjectiveThe purpose of this study was to determine the effect of video media on student preparedness in dealing with floods in Bengkulu City.MethodsThe study design used a Pre Experiment with One Group Pretest-Posttest design. The population in this study were all fifth grade children in SDN 103 Bengkulu City. The total sampling technique was used in this study. The data were collected by using primary data taken from the results of a questionnaire filled out by respondents. T-test was used as statistical test.ResultThe results of the study were obtained (1) from 27 students before being given video media, namely 14 students in the very ready category (51.9%) and 13 students in the ready category (48.1%); (2) after being given video media, there were 20 (74.1%) category students were very prepared and 7 students were prepared categories (25.9%) (3) Paired sample t-test analysis showed p-value of 0.008 &lt;0.05. There is influence of video media on preparedness in facing flood disaster at SDN 103 Bengkulu City in 2019.ConclusionThe importance of early education about disaster is expected to reduce the impact of disasters, especially flood disasters in risk areas. It is expected that schools will be able to include curriculum and training for their students on disaster preparedness training.
<scp>GEP‐based</scp> classifiers with d<scp>rift‐detection</scp>

Abstract In the paper, we propose two gene expression programming (GEP)‐based ensemble classifiers with different drift detection mechanisms. In the related work section, we briefly review GEP as a classification tool, incremental classifiers, and concept drift detectors. Next, the structure of our two‐level GEP ensemble with metagenes is described. Further on, two integrated classifiers with drift detection algorithm and Wilcoxon rank sum test drift detector are proposed. The approach is validated in the computational experiment in which several real‐life and artificial datasets with concept drift have been used. Experiment confirmed that the proposed approach can be competitive to existing solutions. In the conclusion section, we briefly outline directions for future research.
KEEFEKTIFAN MODEL GI TERHADAP KEMAMPUAN BERBICARA DI DEPAN KELAS IV SD

The low ability to speak in front of the class has implications for the ability of students to convey their ideas directly. The effort to improve is by increasing the Group Investigation (GI) learning model. This research is a quantitative study with a pre-experimental one-group pretest-posttest design. The subjects used in this study were all fourth grade students of SD N Wonosoco Kudus which numbered 18 by using a nonprobability sampling technique with a type of saturated sampling. The technique of collecting data uses tests, interviews, observation and documentation. The results showed that the posttest average analytical thinking ability was higher at 86.78 compared to the pretest of 49.1. This is evidenced by the results of the t-test where the number of tcount (26,04)&gt; ttable (2,032). So the results of speaking skills in front of the class have increased.
Comparative Study of Mamdani-type and Sugeno-type Fuzzy Inference Systems for Coupled Water Tank

The level and flow control in tanks are the heart of all chemical engineering system. The control of liquid level in tanks and flow between tanks is a basic problem in the process industries. Many times the liquids will be processed by chemical or mixing treatment in the tanks, but always the level of fluid in the tanks must be controlled and the flow between tanks must be regulated in presence of non-linearity. Threfore, in this paper will use fuzzy inference systems to control of level 2 are developed using Mamdani-type and Sugeno-type fuzzy models. The outcome obtained by two fuzzy inference systems is evaluated. This paper summarizes the essential variation among the Mamdani-type and Sugeno-type fuzzy inference systems with setpoint of level is 10 centimeter. Matlab fuzzy logic toolbox is used for the simulation of both the models. This also confirms which one is a superior choice of the two fuzzy inference systems to control of level 2 in tank 2. The results show madani-type fuzzy inference system is superior as compared to sugeno-type fuzzy inference system.
Extended Pre-Processing Pipeline For Text Classification: On the Role of Meta-Features, Sparsification and Selective Sampling

Pipelines for Text Classification are sequences of tasks needed to be performed to classify documents. The pre-processing phase of these pipelines involves different ways of manipulating documents for the learning phase. This Master Thesis introduces three new steps into the traditional pre-processing phase: 1) Meta-Features Generation; 2) Sparsification; and 3) Selective Sampling. Our experimental results, based on more than 5.600 measurements, show that our proposal can achieve significant gains in effectiveness when compared to the traditional TF-IDF representation (up to 52%) and word embeddings (up to 46%), at a much lower cost (9.7x faster). Our Master Thesis also includes a thorough and rigorous evaluation of the trade-offs between cost and effectiveness associated with the introduction of these new steps into the pipeline, as well as a comprehensive comparative experimental evaluation of many alternatives. This thesis falls under the topics of (i) Document Management and Classification, (ii) Information Retrieval Models and Techniques, (iii) and Text Database of the SBBD Call for Papers.
Fruit Detection for Classification by Type with YNOv3-Based CNN Algorithm

The fruit is part of the flowers in plants that are produced from pollination of the pistils and stamens. The shape and color of many fruits with a variety, with the type of single fruit, double fruit and compound fruit. This study asks for the development of 10 pieces detection applications to help the sensor agriculture sector for 10 pieces detection. The data in this study used the image of 10 fruits namely Mangosteen, Delicious, Star Fruit, Water Guava, Kiwi, Pear, Pineapple, Salak, Dragon Fruit, and Strawberry. Training and testing using CNN algorithms and YOLOv3 machine learning methods with the support of the work of the Darknet53 neural network. The analysis was conducted using 2,333 images of data from 10 classes. The training process is carried out up to 5,000 iterations stored in checkpoints. The implementation of the detection of 10 pieces was carried out on Google Collaboratory through imagery with two tests. Accuracy in the detection of 10 pieces can reach more than 90% in the first test of each fruit and an average of 70% in the second test for images outside the test data.
Perspective On The Continuity Between Preschool And Primary School Education

Research has identified multiple points of view regarding continuity and discontinuity between preschool and primary school education, and starts considering the following: 1)Early education is the guiding principle of consciousness that education at younger age is the basis of personality; 2) Education is a continuous process in which active interaction with the adult is defining; 3) Early education respects valid principles and values: each child is unique, with its specific and particular needs. The new curriculum for preschool education is based on the concept of early education and is part of the pedagogical paradigm of the child-centered curriculum. The purpose of the research was to estimate the level of efficiency in the application of the curriculum and related instruments, and also to identify the pre-school competency assessment tools - prerequisites for further integration into school and also the sources of discontinuities and propose practical solutions to ensure / optimize continuity between the two stages of schooling. The main instruments used to prove the hypothesis were questionnaire survey, focus group, observation. The results indicate that the teachers from kindergarten and school should collaborate better and improve the learning methods in a way that will increase active participation, and school success.
PERANCANGAN MEDIA PEMBELAJARAN PADA UNIVERSITAS ISLAM KUANTAN SINGINGI

With the advancement of information and communication technology, especially in learning that is not an expert causing technological lags, so the lecturers think the teaching and learning process is more difficult, the huge cost of instructing lecturers to use teaching and learning methods is not in accordance with the times so students are bored with the lecture process. By modeling instructional media, it will be easier for lecturers of the Kuantan Singingi Islamic University to carry out the teaching and learning process, using learning media more easily, using low costs and students will not feel bored. The results of this research can be a facility for lecturers to deliver material and students become active in learning independently both at home and in campus.