Reviewerly/exHarmony huggingface dataset:
KEMAMPUAN MENGIDENTIFIKASI CIRI DAN STRUKTUR TEKS BIOGRAFI PADA SISWA KELAS X IIS SMA NEGERI 1 NAPABALANO

Abstract : The purpose of this study was to describe and to find out the students' ability to identify the characteristics and structure of biographical texts in class X IIS of SMA 1 Napabalano. The type of research used in this study is classified into field research because researchers descend directly to the research location (school) to collect data in accordance with research problems. The method used in this study is descriptive quantitative method that is research that provides a clear picture of the ability to identify the characteristics and structure of the biographical text of class X IIS SMA Negeri 1 Napabalano which then analyzed the results of the data using statistical principles in the form of numbers. Respondents in this study amounted to 49 people consisting of four IIS classes. The instrument used in this study was a written test. The results showed that there were 26 (75%) and students who were categorized as 23 (42.85%) students who were categorized as incapable. Classically the percentage of students' ability is categorized as incapable because it does not reach the minimum completeness criteria of 85%. Keywords: Identify, feature; structure; biographical text
A Study Review of Common Big Data Architecture for Small-medium Enterprise

This paper will be composed by conducting a document review and collect papers that related to big data solution and infrastructure.The survey is trying to cover the phases for building a common big data pipelines by following these structures: enterprise vision and mission that affect the big data architecture, defining the data sources, building the backend services to collect the datapoint from the data sources, utilize the data pipeline to prevent data loss, consuming the data pipeline message and deliver it to the data storage, build the raw data storage, define business-driven data visualization and analytics, build the ETL, build business-oriented data storage, applying statistical and machine learning, perform the business-driven visualization and implementing the monitoring for the big data pipelines.The survey will emphasize that many big data components could help the small-medium enterprise to tackle their big data operational issues.
Self-efficacy and Reading Test Result in Senior High School: Does it Correlate?

This study aims to examine the reading scores of a second-grade class in a public school and their relationship to student self-efficacy.Given the importance of students' self-efficacy in reading test results, this study uses a mixed-methods approach.Samples were taken using a purposive sampling technique with one class consisting of thirty-four students who participated in this study.In this study, data were collected from a self-efficacy scale and reading test.To see the relationship between self-efficacy and student reading tests, the authors conducted a Pearson simple correlation test.From the result of the Pearson simple correlation formula, the findings show that there is very close parallelism between students' self-efficacy and reading tests.This current study indicates that higher students' self-efficacy will actively enhance the quality of teaching-learning activity.One of which is by giving encouragement and constructive feedback to the students continuously.However, it also has some limitations in terms of length of study and data collection.First, after knowing that self-efficacy has a close correlation with student reading results, then further research in implementing ways to improve student self-efficacy will be beneficial to improve student self-efficacy.Second, the study results found that there are students who are at a low level of self-efficacy.Thus, further research can be conducted by collecting other research data such as questionnaires or interviews to explore the factors that cause their low self-efficacy and then look for efforts to improve it.
Multiple pedestrian tracking using Siamese random forests and shallow Convolutional Neural Networks

In this study, we propose a new multi-pedestrian tracking (MPT) method that performs quickly and efficiently track pedestrians in real-time system. The proposed method considers combining shallow convolutional neural networks (CNN) with ensemble learning method, Siamese random forests (SRF). Unlike conventional methods, to promote robustness of ensemble method, feature transformation is applied which exploit shallow networks in appearances of still images to extract enrich features. We formulate the problem of MOT in a structured learning framework based on SRF. Each forest learns differences of random feature pairs, which are extracted from the former process to enhance robustness to easily happened circumstances in a moving vehicle. When it compares to the conventional tracking algorithms, the proposed approach, based on SRF, takes advantage of lightweight and efficiency. The proposed lightweight multiple pedestrian tracker was successfully applied to benchmark datasets and yielded a similar or better performance level as compared with state-of-theart methods.
A A Politeness Analysis on Teachers Voices, A Pragmatics Study

Politeness is a visible feature in communication. A conversation is regarded as a polite conversation and an impolite one occasionally. The context is a meaningful aspect to acknowledge this meaning. It covers age, situation, place, relationship, etc. Mode of communication may also be acknowledged as a context. Along with the globalization era, mode of communication also grows and thrives to be diverse modes such as telephone and social media which enable people to communicate in face-to-face communication. One of the renowned modes is Facebook. In Facebook, as it is known that there are miscellaneous areas of people creating some groups to communicate where one may post or/ and comment on other’s wall. What the members do in point of fact is like what they do in the real conversation. As in the real society, they should also consider how to be polite in virtual communication. Thus, this paper is to discuss the politeness principles &amp; strategies in Facebook conversation. The excerpts of the conversation are obtained from a professional group named Teachers Voices (TV). The group's members were academicians such as lecturers, teachers, graduate students and others who are interested in English language studies.
THE EFFECT OF SHADOWING TECHNIQUE ON STUDENTS’ SPEAKING ABILITY OF EIGHT GRADE AT SMP NEGERI 1 PARIGI

The objective of this study is to find out the effect of shadowing technique on students’ speaking ability. The design of this study is quasi experimental were consist of two classes; experimental class and control class of students’ eight grade students at SMP Negeri 1 Parigi. The researcher applied purposive sampling technique. The instrument of this research was oral test in pre-test and post-test. This study was conducted from March 21st to April 7th, 2018. The instrument used for collecting data were speaking test and the data was analyzed by using SPSS version 16.0. The findings show the students speaking score in experimental class is higher than the students speaking score in control class. It has proved by the comparison of the mean score from both control class and experimental class. The mean score of post-test in control group is 2.52 and the mean score of post-test in experimental group is 3.31. The gain score from post-test in control group to post-test in experimental group is 0.79. Furthermore, the effect size of the study is 0.6 and it indicates there is any significant effect of shadowing technique on students’ speaking ability of eight grade students’ at SMP Negeri 1 Parigi. In short, shadowing technique is recommended to teacher to be use in teaching and learning process as an additional technique in teaching speaking especially to students speaking ability. Keywords: Speaking Ability, Shadowing technique
Investigating Prediction Accuracy of Full Reference Objective Video Quality Measures through the ITS4S Dataset

Large subjectively annotated datasets are crucial to the development and testing of objective video quality measures (VQMs). In this work we focus on the recently released ITS4S dataset. Relying on statistical tools, we show that the content of the dataset is rather heterogeneous from the point of view of quality assessment. Such diversity naturally makes the dataset a worthy asset to validate the accuracy of video quality metrics (VQMs). In particular we study the ability of VQMs to model the reduction or the increase of the visibility of distortion due to the spatial activity in the content. The study reveals that VQMs are likely to overestimate the perceived quality of processed video sequences whose source is characterized by few spatial details. We then propose an approach aiming at modeling the impact of spatial activity on distortion visibility when objectively assessing the visual quality of a content. The effectiveness of the proposal is validated on the ITS4S dataset as well as on the Netflix public dataset.
Dynamic Partition of Large Graphs Combining Local Nodes Exchange with Directed Dynamic Maintenance

Graph partition is the key preprocessing of query and analysis for graphs. In the era of big data, graphs have the characteristics of large scale and dynamic evolution. For such large dynamic graphs, the existing graph partition methods have the problems of too slow partition speed, unable to realize dynamic update, and uneven load caused by dynamic changes of graphs. Regarding to the above problems, in this paper, a processing technique combining initial graph partition with incremental dynamic maintenance is proposed. In the initial partition stage, a multi-level local nodes exchange partition algorithm is proposed, which is composed of graph compression, local node exchange partition and restoration optimization. Then an optimization adjustment mechanism is proposed to eliminate redundant modification and reduce computing cost. In the dynamic maintenance stage, several update strategies for different changes are executed. And a directed dynamic maintenance strategy is proposed to avoid frequent or circular exchange caused by two-way movement, so as to improve the efficiency of dynamic graph partition. The experiments show that our proposed method is quite efficient in dynamic partition of large graphs, which is performed both on real and synthetic data.
Penalized Bootstrapping for Reinforcement Learning in Robot Control

The recent progress in reinforcement learning algorithms enabled more complex tasks and, at the same time, enforced the need for a careful balance between exploration and exploitation.Enhanced exploration supersedes the requirement to hardly constrain the agent, e.g., with complex reward functions.This seems highly promising as it reduces the work for learning new tasks, while improving the agents performance.In this paper, we address deep exploration in reinforcement learning.Our approach is based on Thompson sampling and keeps multiple hypotheses of the posterior knowledge.We maintain the distribution over the hypotheses by a potential field based penalty function.The resulting policy is more performant in terms of collected reward.Furthermore, is our method faster in application and training than the current state of the art.We evaluate our approach in low-level robot control tasks to back up our claims of a more performant policy and faster training procedure.
‘Electree’ as Android Mobile Learning Application based on Arduino Projects for Junior High School Students

The advanced technology connects a mobile learning application with the Arduino UNO for science learning.The work aims to develop "Electree" as a new android mobile learning application based on Arduino projects for junior high school students.The method used in this research was descriptive.The participants were 22 students of private Junior High School in Bogor and three science teachers from each respectively Junior High School in Bandung and Bogor.The experts have evaluated content, language, and media in the mobile learning application.The results show that the overall mobile learning application based on Arduino UNO is adequately received a very good evaluation from each aspect.The students and science teachers are greatly welcomed for its implementation.
TermEval 2020: RACAI’s automatic term extraction system

This paper describes RACAI’s automatic term extraction system, which participated in the TermEval 2020 shared task on English monolingual term extraction. We discuss the system architecture, some of the challenges that we faced as well as present our results in the English competition.
Competency Model Development for Job Creation for Undergraduate Students: Focusing on Undergraduate Students Preparing for Franchise Job Creation

Purpose: This study was conducted for purpose to derive a model of the founding competency of undergraduate students preparing for job creation.We want to support undergraduate students who are preparing to start a job creation so that they can successfully start a job creation.In Korea, research on entrepreneurship competency has been actively conducted for a variety of subjects including undergraduate students, but research on job creation competency is insufficient.To this end, we intend to contribute to the success of undergraduate students preparing for job creation by deriving a job competency model.Research design, data, and methodology: In order to derive job creation competency, interviews were conducted with best practices in the job creation activity process, and the job creation competency was derived using Spencer and Spencer's competency model development process and competency dictionary.Result: The derived competencies were further supplemented through the verification of job creation experts and HRD experts, and a total of 3 competency groups, 13 competences, and 44 specific actions were derived.The derived job creation competency model is significant in that it is an initial study that attempts to develop job creation competency, that it can be a reference point for developing curriculum for undergraduate students preparing for job creation, and that they have developed a competency model in the new field of job creation.However, despite this significance, there are some limitations.First, the derived competency model did not perform validity verification using quantitative research.Second, the difference analysis between the excellent group and the average group was not conducted.Third, the level of behaviors could not be staged.Lastly, it was not possible to compare it with the competency of franchisor and job creation for undergraduate student competency.Therefore, it is necessary to upgrade the job creation competency model by conducting follow-up studies.The following is suggested as a follow-up study.First, verification of the validity of job creation competency, and second, a comparative study of excellent cases and average group.Third, a study on the level of action level of job creation competency.Lastly, it is a comparative study of job creation competency and the competency of franchise affiliates.
The Impact of Neural Embedding Characteristics on Text Mining Tasks: Document Classification Use Case

One of the relevant text mining tasks is the document classification, where a useful content categorization control in many domains like content analyses, retrieval information, and the recommendation systems.In general, a set of process influence the classification system effectiveness, and the data representation has an essential impact on the text categorization as we will discover in this article.Hence, the paper's goal is to adjust the Paragraph Vector-Distributed Memory (PV-DM) as a variant of the current methods for neural text representation by comparing diverse neural parameters choices control the system complexity, e.g., epoch number, and vector size.Also, we employ a collection of classifiers subsequently combined using majority voting to show the impact of the neural PV-DM embedding on the binary business sentiment analysis, and multi labeled News data classification.The experiments prove that a suitable selection of the neural embedding characteristics enhances the hybrid machine learning model to 99% accuracy for a data type.
THE EFFECT OF INTEGRATING SCRABBLE INTO NUMBERED HEADS TOGETHER ON STUDENTS’ VOCABULARY ACHIEVEMENT AT GRADE SEVEN OF SMP NEGERI 12 KONAWE SELATAN

This study aimed at finding out whether there is a significant effect of integrating scrabble into numbered heads together at grade seven of SMP Negeri 12 Konawe Selatan or not. The research was conducted to answer the following question “Is there any significant effect of integrating scrabble into numbered heads together on students’ vocabulary achievement at grade seven of SMP Negeri 12 Konawe Selatan?”. The hypothesis of this research is “There is a significant effect of integrating scrabble into numbered heads together on students’ vocabulary achievement at grade seven of SMP Negeri 12 Konawe Selatan”. This research used quasi experimental design with population was all grade seven students at SMP Negeri 12 Konawe Selatan in academic year 2018/2019. The samples of this research were class VIIE as the experimental class and VIIB as control class. The experimental class consist of 28 students and control class consist of 26 students. The research instrument was 40 questions of vocabulary test. Collecting the data, the researcher gave pre-test, taught integrating scrabble into numbered heads together, and giving post-test. The result show that students’ mean score in experimental class are 55.21 at pre-test and 75.13 at post-test, while students’ mean score in control class are 55.61 in pre-test and 64.93 in post-test. Based on the calculation of T-test, it shows that the score of tcount = 5.636 is higher than ttable = 2.007 and the pvalue= 0.000 is lower than = 0.05. Therefore, the null hypothesis is rejected and H is accepted. This can be conclude that there is a significant effect of integrating scrabble into numbered heads together on students’ vocabulary achievement at grade seven students of SMP Negeri 12 Konawe Selatan. Keywords: Scrabble, numbered heads together, vocabulary achievement
The Use Of Fractal Theory In Digital Signal Processing In Radio Communication Systems

When digital signal processing in a radio communication system, it is advisable to calculate the fractal dimension D and the Hausdorff dimension based on the topological mathematical expression D_0, analyze the methods of digital signal processing by the electro-optical method, i.e. perform experimental calculations of fractal points.
Implementasi Keamanan Jaringan Menggunakan Metode Port Blocking dan Port Knocking Pada Mikrotik RB-941

An important aspect of a network security system is maintaining data integrity and ensuring that it can be used by users safely. All types of attacks and countermeasures against network discovery attempts by unauthorized parties must be able to overcome efforts to protect network security systems. Firewall systems are used to solve this problem, but software-level attack errors cannot be protected by firewall systems. In this study, the implementation of port knocking and port blocking methods in the network was successfully carried out for data privacy issues. The port blocking method on the Mikrotik router permanently blocks the www port and the Winbox port using the services provided by the Mikrotik router. The port knocking method is more effective because it has rules for being able to enter the proxy server and access it remotely on the local network. The port knocking network implementation experiment applied to the Mikrotik router has enforced the winbox port, and www with 1-2-3 authentication flows with each authentication has a predetermined timeout time.
APLIKASI PEMBAYARAN SPP BERBASIS ANDROID DI MADRASAH ALIYAH WALISONGO LAMPUNG TENGAH

CET (Contributions Education Training) is funds have paid for students who will be used to education training. The size of the contribution education training must be paid by different for each class. Lack of information payments the parent barrier communication on payment in schools especially CET payments. Data processing manual pretty complicated and take a long time. Based on these problems them application CET payments android based in Islamic Senior High School Walisongo. This research using data collection method of observation and interview and in the design an application it uses the SDLC (System Development Life Cycle). The research is be a an application CET payments android based later application is expected to assist and loosening students, parents other users in the process of contribution education training payments in Islamic Senior High School Walisongo Lampung Central and can help officers administration until the schools in The registration of payment data CET to be more accurate and efficient.
An Analysis of Pragmatic Presupposition in Maturity Episode on Golden Ways Show

Pragmatics is concerned with the study of meaning as communicated by speaker or writer and interpreted by a listener or a reader. It has consequently more to do with the analysis of what people mean by their utterances. Describing the types of presupposition by the utterances in a talk show named Golden Ways is the objective of this research. The subject of this research is a talk show entitled maturity. The data are some utterances said by the speaker and heard by the hearer. Utterances between the host and the audiences from this show can show the presupposition. The writer analyzed the types of presupposition by Yuleâ€™s theory (1996) to find out what types are often used in this talk show. The data analysis is conducted by classifying and categorizing the data to find the inferences. The writer uses a descriptive method because it describes the presupposition in the talk show and it was suitable to the purpose of the study. As Monsen stated (2008: 5) the descriptive research often illustrates a relevant but non quantified topic involving a well-focused research question. It generates narrative data that describe words instead of numbers. The writer has found all six types of presupposition which applied in this talk show. This research shows that presupposition always exist in utterances.
Sistem Pendukung Keputusan Pemberian Kredit Kepada Kreditur Dengan Metode SAW Berbasis Web

BPR ARTA MAKMUR is a company engaged in Banking and Rural Credit which of course already has many customers. In the process of working, BPR Arta Makmur has served Savings and Credit Savings for the people. In recent times the process of applying for Credit Loans for people who do not have a business has increased, and the company has become quite inconvenient in processing loan applications submitted by prospective BPR customers because they have to select one by one based on the requirements set by the company. With so many credit applicants entering the credit department, it makes the credit department a hassle to decide the results of the application. So that the researcher decided to provide a solution for the Credit Decision Support System using the SAW method with existing criteria in BPR, namely; 1. Required documents, Applicant Status (Employee, Entrepreneur, Civil Servant, etc.), Creditor Capability, Home Ownership, Creditor Capital. By creating a Decision Support System this can help and facilitate BPR in making decisions whether the credit applicant is approved or not in a short time.