Reviewerly/exHarmony huggingface dataset:
PEMODELAN FAKTOR EKONOMI MAKRO TERHADAP HARGA SAHAM TELKOM MENGGUNAKAN REGRESI SPLINE TRUNCATED MULTIVARIABEL DILENGKAPI GUI R

Stock prices are an important thing that investors should know before investing. Volatile stock prices require investors to know the factors that influence their changes. Stock price instability makes it very difficult for investors to make investments and affects the integrity they get. One of the factors that affect stock prices is macroeconomic factors consisting of rupiah exchange rate (X1), inflation (X2), and SBI interest rate (X3). A statistical method that can be used to model fluctuating data is spline nonparametric regression. This study aims to model macroeconomic factors against Telkom's stock price using multivariable truncated spline nonparametric regression with optimal knot point selection methods that minimize Generalized Cross Validation (GCV). Many knots used are a combination of 1 and 2 and the order used is a combination of 2, 3, and 4. The best multivariable truncated spline model is achieved on a knot combination (2,2,2) with the order X1, X2, X3 being 3, 2, 2 which results in an R2 value of 92.71% included in the strong model criteria. In the evaluation of model performance obtained a MAPE value of 1.857% which shows the model has excellent forecasting ability. In this study, a Graphical User Interface (GUI) program was formed R that can facilitate data analysis and produce more attractive display output.
The Strengths and Weaknesses of the Singing Method in Improving the Language Skills of Teuku Syam Aceh Besar Kindergarten

This research used qualitative research methods togather information using observation, interviews and documentation. The results of the study regarding the value of the initial description of children's language development in the developing category according to expectations (BSH) 16.7% and developing very well (BSB) listening to words 10%. The ability to pronounce 30% of children's language skills at Teuku Syam Aceh Besar Kindergarten with an average completeness score of 78.9% of children's learning outcomes and is in a very well-developed category. Keywords: Singing, Young Learners, and Language Skills
Digital Bangladesh: An Electronic Automated System for Bangladesh Police Administration

We are living in an era of technological revolution that is disrupting and transforming government and society alike. The world is evolving quickly where the old arrangements no longer work. All are being challenged to adapt and keep the change and the technological revolution provides unique opportunities to reintroduce the status of developing countries. The time has come for Bangladesh, one of the least developing countries to become a champion of digitization. The scope is very wide to make the digital Bangladesh. It is not only about the e-governance, e-commerce, e-banking, or working on a nationwide cellular telephone system through which one can get to everyday daily news or other web gadgets. To make a digital Bangladesh every office has to be automated or computer-based and share information in blockchain technology. To become part of fulfilling the mission of digital Bangladesh this paper presents a framework of an electronic police system in order to maintain each police station with a computerized paperless operation.
Is Self-Regulation Able to Mediate the Effect of Self-Effort on E-Learner Success in the Islamic State University?

This study aim to seek the relationship between self-effort and e-learner success, either directly or through self-regulation. This type of research is quantitative. The research method used is an exploratory survey. Primary data were obtained from questionnaires filled out by 923 Social Science Education students at all State Islamic Universities in Indonesia. 11 State Islamic Universities with a Social Science Education program participated in this research. The direct test uses Ordinary Least Square (OLS), while the indirect effect is tested using the Sobel test. The results of this study can prove that self-effort has a direct and indirect positive influence on e-learner success through self-regulation. Students with high self-effort will be able to improve their self-regulation, impacting their e-learning success. This evidence shows that e-learning requires students' independence to succeed academically. This research provides a theoretical contribution to the development of e-learning theory. Students in online learning success need self-effort and self-regulation because, in online learning, students are required to be more active than in direct learning in class. The author recommends further research to expand other variables that affect the success of e-learning with different models and theories, such as expectation confirmatory theory, technology acceptance model, intention to continue using LMS, course and information quality.
The Effect of Vocabulary and Phonological Awareness on Students’ Reading Comprehension

The purpose of this research was to investigate the effect of vocabulary and phonological awareness on students’ reading comprehension. This research was mainly quantitative in nature. The sample of this research was the tenth-grade students of SMK YPKP SENTANI. It consisted of 93 students assigned using random sampling technique. Vocabulary, phonology and reading comprehension tests were used as the instruments to collect the data. Then, the data were processed using regression analysis to figure out the effect of vocabulary and phonological awareness on reading comprehension. In the regression analysis using SPSS program, the data were entered into variable boxes. Vocabulary and phonological awareness scores were entered into independent variable box while scores of reading comprehension were entered into dependent variable box. The findings revealed that the regression value of vocabulary and phonological awareness on reading comprehension was significant. Furthermore, vocabulary and phonological awareness contributed 67.6% of effect on students’ reading comprehension. In addition, the finding of each variable showed that significant value of phonological awareness was higher than vocabulary. This result showed that the effect of phonological awareness was 64.5%, while the effect vocabulary was 31.2% on reading comprehension based on the Pearson Product Moment correlation.
A Novel Architecture for Search Engine using Domain Based Web Log Data

Search engines, an information retrieval tool are the main source of information for users’ information need now a day. For every query, the search engine explores its repository and/or indexer to find the relevant documents/URLs for that query. Page ranking algorithms rank the Uniform Resource Locator in abstract section (URLs) according to its relevancy with respect to users’ query. It is analyzed that many of the queries fired by users on search engines are duplicate. There is a scope to improve the performance of search engine to reduce its efforts for duplicate queries. In this paper a proxy server is created that keep store the search results of user queries in web log. The proposed proxy server uses this web log to find results faster for duplicate queries fired next time. The proposed scheme has been tested and found prominent. The proposed architecture tested for ten duplicate user queries. it return all relevant web pages for duplicate user query (if query is found in web log at proxy server) from a particular domain instead of entire database. It reduces the perceived latency for duplicate query and also improves the value of precession and accuracy up to 81.8% and 99% respectively for all duplicate user queries.
Performance Evaluation of Keyword Extraction Techniques and Stop Word Lists on Speech-To-Text Corpus

The dawn of conversational user interfaces, through which humans communicate with computers through voice audio, has been reached. Therefore, Natural Language Processing (NLP) techniques are required to focus not only on text but also on audio speeches. Keyword Extraction is a technique to extract key phrases out of a document which can provide summaries of the document and be used in text classification. Existing keyword extraction techniques have commonly been used on only text/typed datasets. With the advent of text data from speech recognition engines which are less accurate than typed texts, the suitability of keyword extraction is questionable. This paper evaluates the suitability of conventional keyword extraction methods on a speech-to-text corpus. A new audio dataset for keyword extraction is collected using the World Wide Web (WWW) corpus. The performances of Rapid Automatic Keyword Extraction (RAKE) and TextRank are evaluated with different Stoplists on both the originally typed corpus and the corresponding Speech-To-Text (STT) corpus from the audio. Metrics of precision, recall, and F1 score was considered for the evaluation. From the obtained results, TextRank with the FOX Stoplist showed the highest performance on both the text and audio corpus, with F1 scores of 16.59% and 14.22%, respectively. Despite lagging behind text corpus, the recorded F1 score of the TextRank technique with audio corpus is significant enough for its adoption in audio conversation without much concern. However, the absence of punctuation during the STT affected the F1 score in all the techniques.
ESTIMATION OF PB AND TOTAL SUSPENDED SOLID (TSS) CONCENTRATION BASED ON REMOTE SENSING DATA

Research has been carried out on the comparison of the concentration of Pb and Total Suspended Solid (TSS) of laboratory test results with Sentinel-2A satellite image data recorded on August 25, 2021 at the Suwung estuary dam, Denpasar city. The method used to compare the 2 measurement results is through testing by paired sample correlation and the graph. The result from the measurement show that the TSS value between Sentine-2A and laboratory has a fairly close value but the Pb value between Sentinel-2A and the laboratory have a much differences. The differences of the value between Sentinel-2A images and laboratory data can be caused by differences in the image recording time and field data collection time. This can result in changes or dynamics of water conditions that result in changes in the value and distribution Pb and then the radiometric influence of differences in Pb values ​​on images and laboratory data can be caused by radiometric influences or interference with wave propagation in the air.
The impact of sociodemographic factors on the self-confidence of modern students

The purpose of this article is to study the impact of sociodemographic factors on the self-confidence of 1st to 3rd year college students. Also, a variety of opinions shaped by foreign authors are presented regarding the concept of "self-confidence" and what it is influenced by, resulting from the analysis of theoretical, scientific and practical literature on the research topic.
Agile Principles in Responding to Safety Incidents in Productive Systems: a Systematic Review

Production systems have been integrated into the digital scenario where everything is connected, driven by Industry 4.0. In this complex, and heterogeneous and interconnected environment, it is necessary to observe the pillars of information security: integrity, confidentiality and availability. To answer to information security incidents, governments and organizations maintain CSIRTs, acronym for Computer Security Incident Response Teams, which manage incidents through processes to detect, analyze, respond and learn from incidents. However, these incident response teams generally follow a rigid and hierarchical structure, indicating problems in their processes. The agile approach has been considered a good option for solving these problems since agile principles have been used in areas outside of software development and also for addressing solutions that are not very clear at the beginning, for focusing on people, on constant feedback and acceptance of constant changes The present paper aims to carry out a systematic review of the literature located in the field of response to security incidents in production systems, in addition to agile principles and values. Thus, the research question of this article "What results are found in the literature on the use of agile principles in information security incident response processes in production systems?", resulted in six articles that address the use of agile principles in responding to information security incidents. Thus, the survey demonstrated a gap in the use of agile principles in responding to information security incidents. The result contributes demonstrating the need for further research on the use of agile principles in information security. It is envisioned that this area may have greater contributions during future research.
Facebook's Presupposition “Rizky Billar Had Said He Wanted to Retire from the Entertainment World”

This data is entitled Facebook's Presupposition “Rizky Billar Had Said He Wanted to Retire from the Entertainment World”. This research is an attempt to identify and analyze the types and meanings of presuppositions on Facebook. The data used in this study are in the form of comments on Facebook. The data are analyzed using the following steps. (1) Read comments on Facebook social media, (2) Mark each word or sentence that contains a form of presupposition, (3) Classify based on the types of presuppositions, (4) Summarize the data that has been presented carefully. Facebook data contains comments as many as 24 comments. In this research, the author uses a descriptive method that analyzes based on the theory of George Yule (1996) there are six types of presuppositions. The results of the study concluded that there are six types of presuppositions in Facebook social media, namely: existential presuppositions, active presuppositions, lexical presuppositions, structural presuppositions, inactive presuppositions, and counteractive presuppositions.
A Boolean algebra for genetic variants

Abstract Motivation Beyond identifying genetic variants, we introduce a set of Boolean relations, which allows for a comprehensive classification of the relations of every pair of variants by taking all minimal alignments into account. We present an efficient algorithm to compute these relations, including a novel way of efficiently computing all minimal alignments within the best theoretical complexity bounds. Results We show that these relations are common, and many non-trivial, for variants of the CFTR gene in dbSNP. Ultimately, we present an approach for the storing and indexing of variants in the context of a database that enables efficient querying for all these relations. Availability and implementation A Python implementation is available at https://github.com/mutalyzer/algebra/tree/v0.2.0 as well as an interface at https://mutalyzer.nl/algebra.
Web literacy among the researchers and faculty members of select universities in India during COVID-19

Purpose: The study is taken to assess the awareness, ability, use and web literacy skills of social sciences researchers and faculty of select universities in Punjab and Chandigarh from North India during COVID-19. Methodology: A survey-based study was conducted on social science departments of select universities in Punjab and Chandigarh from North India. The data were collected from a sample of 532 respondents using a structured questionnaire through emails via Google docs. The data were analyzed using SPSS and MS Excel using statistical techniques viz. percentage, Pearson Chi-square test etc. Findings: The study has found that most of the social sciences faculty and researchers of the universities under study used open web during COVID 19 for read/download web content most of them were found having the ability to use the web to some extent. The faculty was found to be more familiar with data security, digital privacy than researchers. The most of them learned how to use the web through self-study and were willing to improve their web literacy skills through some digital literacy programs. Originality: This study is original study that was focused on assessing the web literacy skills of social science faculty and researchers which helped them to use the web especially during the period of COVID-19. Practical implications: The results of this study can be used for university libraries to plan and organize some digital literacy/capacity building programs for the social sciences faculty and researchers according to their specific needs and it will help users to use web in situation like COVID-19 pandemic. Keywords: Awareness, ability, use, web literacy skills, COVID-19, digital literacy program.
METODE TECHNOLOGY ACCEPTANCE MODEL (TAM) PADA SISTEM INFORMASI TUGAS AKHIR PROGRAM STUDI ILMU KOMPUTER UNIVERSITAS NUSA CENDANA

The absence of an information system related to research results in the Computer Science study program, Faculty of Science and Engineering, Nusa Cendana University resulted in the limited provision of research information services in this study program because the scope of delivering information to the wider community was limited. In this research, planning, design and development of a research information system is carried out which will later be used to publish research results in order to provide a source of knowledge about research in study programs to the wider community. The Waterfall system development method uses a Descriptive Analysis approach and refers to five perceptions. The Technology Acceptance Model (TAM) method is used to measure user satisfaction with the system being built. The test was carried out using 59 test data collected directly from prospective students using the system. The test results got a satisfactory value with each perception value, namely: Perceived Ease Of Use of 82.18%, Perceived Usefulness of 81.69%, Attitude Toward Using of 76.90%, Behavioral Intention To Use of 79% and Actual Technology Usage is 81% with an average overall perception percentage of 79.98% and is in the good/high category.&#x0D; Keywords: Information System, Study Program, Waterfall, Technology Acceptance Model (TAM).
ANALYTIC HIERARCHY PROCESS BASED ON THE MAGNITUDE OF Z-NUMBERS

The analytic hierarchy process (AHP) is a powerful multi-criteria and multi-alternative decision-making model which helps decision makers in giving preferences using pairwise comparison matrices.The development of AHP using fuzzy numbers got attention from many researchers due to the capability of fuzzy numbers in handling vagueness and uncertainty.The integration of AHP with fuzzy Z-numbers has improved the model since the reliability of decision makers is considered, in which the judgement is followed by the degree of certainty or sureness.Most of the existing decision-making models based on Znumbers transform the Z-numbers into regular fuzzy numbers by integrating the reliability parts into the restriction parts which has caused a great loss of information.Hence, this research develops the AHP based on the magnitude of Z-numbers, in which the magnitude is used to represent the criteria weights.A numerical example of criteria ranking for the prioritization of public services for digitalization is implemented to illustrate the proposed AHP model.
Unique and Secure Account Management System Using CNN and Blockchain Technology

Creating multiple fake accounts to reap the benefits of an online service provider has always been an issue for corporations. The main objective of this paper is to suggest an account management service that limits each user to have only one account that is private and secure in every aspect. The idea behind this paper is to prevent a customer from creating multiple accounts and taking advantage of the services provided by a corporation. Our goal is to cater to corporations that offer services like OTT (Netflix, Amazon Prime, etc.) and social networking platforms, where a single account per person is ideal. Another reason for creating this paper is to allow users to have a unique digital account without sharing personal details with the service-providing companies. We will use facial recognition algorithms for unique identification purposes and blockchain technology for immutable and secure data storage to implement this idea. Through this service, customers can enjoy services provided by the company without any fear of their data getting used for unsolicited purposes. And, the companies get to restrict individual customers from taking advantage of their services by creating multiple accounts.
Analysis of Spatial Molecular Data

Digital analysis of pathology whole-slide images has been recently gaining interest in the context of cancer diagnosis and treatment. In particular, deep learning methods have demonstrated significant potential in supporting pathology analysis, recently detecting molecular traits never before recognized in pathology H&E whole-slide images (WSIs). Alongside these advancements in the digital analysis of WSIs, it is becoming increasingly evident that both spatial and overall tumor heterogeneity may be significant determinants of cancer prognosis and treatment outcome. In this chapter, we describe methods that aim to support these two elements. We describe both an end-to-end deep learning pipeline for producing limited spatial transcriptomics from WSIs with associated bulk gene expression data, as well as an algorithm for quantifying spatial tumor heterogeneity based on the results of this pipeline.
Can Blockchain Technology Change Contemporary Medicine as It is Currently Understood?

Albeit the best-known use of blockchainBlockchain technologyTechnology (BCT) is in the disciplineDiscipline of economics and cryptocurrenciesCryptocurrency in general, its suitability is broadening to other disciplinesDiscipline, including the biomedicalBiomedical field. The objectiveObjective of this chapterChapter is to review the role of BCT in medicineMedicine. BCT in the health field permits development of a stable and safe informationInformation set with which users can act with one another by way of transactionsTransaction of diverse classes. This context permits the accessAccess and operationOperation of clinical informationInformation without jeopardizing other sensitive dataData. Another significant advantage of BCT is that the whole systemSystem is decentralizedDecentralized and is conserved by the users themselves; therefore, it is not necessary to trustTrust organizations for depository. The blockchainBlockchain code is open source and can be utilized, changed and corrected by its users. BCT literatureLiterature is limited up to date. This chapterChapter narrates the fundamentals of this technologyTechnology and sums up the diverse points in which BCT could transform the epitome of contemporary medicineMedicine. The great potentiality of BCT, as its multiple roles in the disciplineDiscipline of health sciencesHealth sciences, comprises the spheres of legalLegal medicineMedicine, investigation, electronic medical recordsElectronic medical record, medical informationInformation analysisAnalysis (big dataBig data), educationEducation and the regulation of compensation for medical servicesService. If technological progress persists along these fields, it could result in a radical change in medicineMedicine as we understand it.