Reviewerly/exHarmony huggingface dataset:
Multimedia for Improving Competency of Business Presentations: A Brief Literature Review

Vocational High School (SMK) graduates should find it easier to find work.This is because the skills and abilities of students are prioritized when studying at SMK.However, when viewed from the last level of education, unemployment in Indonesia is dominated by SMK graduates.This phenomenon shows that learning in SMK must be corrected immediately.This study aims to provide an overview of multimedia learning in improving the business presentation competence of vocational students.This study uses a literature study related to multimedia business presentations from several online research sources.Research reveals that multimedia that is designed according to the criteria of need can be effective in increasing the competence of business presentations.Making multimedia learning should be based on two strategic principles, namely giving control to students and giving visual cues.
Forensic Digital Analysis for CCTV Video Recording

The background of this research is how to make a video that can be analyzed as forensic data to prove the truth of the video, therefore with forensics it can be used as evidence if the video contains incorrect data or contains data capable of crime so that it can be used as data forensics. The method used in this study is to use the literature review method which uses the basis of many previous studies. From journals and books based on similar research, so that it can help develop existing problems to the latest problems so that they can find novelty in this research. The problem raised in this research is how to make a video from a CCTV that can be proven, by certain methods in order to make the video as forensic data, that can be proven so that it can be developed into data containing crimes that can be used as evidence. The purpose of this study is how to find the right method in order to analyze a CCTV video, so that it can be used as evidence on forensic data with the NIST method, it can be proven that this method is the right method in analyzing a video, so that it can be used as evidence and as data forensics.
Does Mind Mapping Technique Affect Creative Thinking Skill and Cognitive Learning Outcomes?

Education in Indonesia is gradually shifting from being oriented towards cognitive learning outcomes to 21st-century skills.Therefore, this study investigated the ability of the mind mapping techniques to affect students' creativity and cognitive learning outcomes.This pre-experimental study employed an intact-group comparison design with data collected from 68 eighth-grade students of SMP Negeri 5 Tanjungpinang.The students were selected for experimental and control groups based on the homogeneity and normality tests results.The instrument used to measure their creativity, and cognitive learning outcomes were easy and in multiple-choice tests.The result showed that the mind mapping technique has no effect on creativity but affects cognitive learning outcomes.Meanwhile, its simultaneous implementation affects both learning outcomes.
Need Analysis of English Material in the Second Third Grade Elementary Program

Designing English content materials for Elementary students particularly second-third grade is important because it may be supported the goal of English teaching learning.This research done was based on the students' need, students' pre assessment, observation, students, teachers, and parents questionnaires, which have shown in the following activities: 1) second-third grade students are grouped in one class which means that they have different stage abilities of learning ; two) the students who are still in the lower grade ( second grade) struggles in grasping the materials ; 3) teachers need to provide various materials to facilitate the students in the learning process; 4) the existing-in use materials are designed for the higher grade (third grade) assuming they are eager to teach peers.The data analysis process required a number of steps that fulfilled the needs of all the participants involved, namely: Discussion with the school stakeholders, Semi-structured interviews with the target group teachers, Interviews with the target group students, and Open-ended, structured questionnaires for students.From the research, it was found that students feel difficult in teaching learning and it was too complicated materials.From the research interview, observation and questionnaire it can be analyzed that students are able only in speaking skill.
Evolution of the Polar Code-Based Encryption Schemes

Code-based encryption schemes make use of the difficulties in coding theory and are one of the main technologies to realize encryption primitives in the post-quantum scenario. Polar codes are the first error-correcting codes that have been theoretically proved to achieve capacity for any discrete memoryless channel, and are used for coding in wireless communications in the 5G era. Thus polar codes are one of the most attractive candidates to realize joint encryption and error correction coding in mobile communication. In this paper, we provide a survey for the development of polar code-based encryption schemes. One of the key contents of the research is to reduce the key size of polar code-based encryption schemes.
Analisa Tanggapan Terhadap Psbb Di Indonesia Dengan Algoritma Decision Tree Pada Twitter

Community opinions are sometimes difficult to convey to the person in charge directly, it encourages people to express their opinions, criticisms and the like through social media, one of which is the popular social media today is Twitter. One collection of opinions or tweets from Twitter users about the PSBB effect one of which can be used as an analysis of public opinion sentiments. Data on the effects of PSBB were obtained as many as 2439 tweets, then processed using data mining techniques (data mining), in which there are processes of Collecting Data, text preprocessing and classification. Then it is tested into three different algorithms to be compared, the algorithm used is Decision Tree, Naïve Bayes Classifier and K-Nearest Neighbors (K-NN ) with the aim of finding the best accuracy. The highest results from this study were the Decision Tree algorithm with an accuracy value of 84.78%, precision 84.78% and recall 100%.&#x0D; Keywords: twitter, sentiment analysis, decision tree
Experience Of Cambridge Curricula In Ensuring The Continuity Of Curricula In The Field Of “Computer Science And Information Technology” In The System Of Professional Education

This article highlights about introducing students to the basics of science, the general principles of human activity, the formation of general, digital and material culture, the acquisition of specific skills, as well as finding innovative solutions to practical problems based on digital technologies in vocational education institutions and the experience of world-renowned, world-renowned, and successfully implemented curricula will play an important role in its implementation. In particular, the Cambridge International General Certificate of Secondary Education curricula are among them.
Effect of Foreign Direct Investment on Energy consumption: Does Institutional Quality matter? Evidence from Cote d'Ivoire

This paper examines the role played by institutional quality in the relationship between foreign direct investment and energy consumption in CÃ´te d'Ivoire. Using data from the World Bank and International Country Risk Guid over the period 1984-2014 and the Dynamic Ordinary Least Squares (DOLS) and Fully Modified Ordinary Least Squares (FMOLS) methods, we account for the joint effects of institutional quality and foreign direct investment on energy consumption. The results reveal that a high level of democracy attenuates the negative effects of FDI flows on energy consumption. This result shows that improving and strengthening democratic institutions has a positive influence on energy efficiency incentive policies by changing the composition of FDI towards clean technology sectors, such as the service sector.
Pemanfaatan Network Forensic Investigation Framework untuk Mengidentifikasi Serangan Jaringan Melalui Intrusion Detection System (IDS)

Intrusion Detection System (IDS) is one of the technology to ensure the security of computers. IDS is an early detection system in the event of a computer network attack. The IDS will alert the computer network administrator in the event of a computer network attack. IDS also records all attempts and activities aimed at disrupting computer networks and other computer network attacks. The purpose of this study is to implement IDS on network systems and analyze IDS logs to determine the different types of computer network attacks. Logs on the IDS will be analyzed and will be used as leverage to improve computer network security. The research was carried out using the Network Forensic Investigation Framework proposed by Pilli, Joshi, and Niyogi. The stages of the Network Forensic Investigation Framework are used to perform network simulations, analysis, and investigations to determine the types of computer network attacks. The results show that the Network Forensic Investigation Framework facilitates the investigation process when a network attack occurs. The Network Forensic Investigation Framework is effectively used when the computer network has network security support applications such as IDS or others. IDS is effective in detecting network scanning activities and DOS attacks. IDS gives alerts to administrators because there are activities that violate the rules on the IDS.
Network-Compatible Unconditionally Secured Classical Key Distribution via Quantum Superposition-Induced Deterministic Randomness

Based on the addressability of quantum superposition and its unitary transformation, a network-compatible, unconditionally secured key distribution protocol is presented for arbitrary networking in a classical regime with potential applications of one-time-pad cryptography. The network capability is due to the addressable unitary transformation between arbitrary point-to-point connections in a network through commonly shared double transmission channels. The unconditional security is due to address-sensitive eavesdropping randomness via network authentication. The proposed protocol may offer a solid platform of unconditionally secured classical cryptography for mass-data communications in a conventional network, which would be otherwise impossible.
Preparing Legal Documents for NLP Analysis: Improving the Classification of Text Elements by Using Page Features

Legal documents often have a complex layout with many different headings, headers and footers, side notes, etc. For the further processing, it is important to extract these individual components correctly from a legally binding document, for example a signed PDF. A common approach to do so is to classify each (text) region of a page using its geometric and textual features. This approach works well, when the training and test data have a similar structure and when the documents of a collection to be analyzed have a rather uniform layout. We show that the use of global page properties can improve the accuracy of text element classification: we first classify each page into one of three layout types. After that, we can train a classifier for each of the three page types and thereby improve the accuracy on a manually annotated collection of 70 legal documents consisting of 20,938 text elements. When we split by page type, we achieve an improvement from 0.95 to 0.98 for single-column pages with left marginalia and from 0.95 to 0.96 for double-column pages. We developed our own feature-based method for page layout detection, which we benchmark against a standard implementation of a CNN image classifier.
THE CHANGING IMMUNOHISTOCHEMICAL PROFILE OF BREAST CARCINOMAS IN NNEWI, SOUTH-EAST NIGERIA: OUR EXPERIENCE

Introduction: GLOBOCAN statistics has shown a rising incidence of breast cancers (BCs) in Nigeria, with previous studies in our region showing predominance of triple negative category. The molecular classification of BCs, as refined in 2015 by the St. Gallen’s consensus, will help prognosticate and better personalize treatment even in resource limited countries. Objective: The aim of this study was to evaluate immunohistochemically (IHC) status of BCs diagnosed in Nnewi, southeast Nigeria. Materials and Methods: We analysed all the morphologically diagnosed cases of BCs that were evaluated IHC for hormone receptors (HR) status, HER2 and Ki67 from two histopathology laboratories serving Nnewi and environs over a 6 year period using SPSS software, version 20. Results: A total of 13275 surgical specimens were received, 2888 of which were solid malignancies and 2485 were breast tissue specimens (974 (39.20%) of which were BCs). BCs accounted for 33.73% of all solid cancers. Only 142 had IHC done on the tissue blocks. The age ranged from 21 to 80 years with modal age in the 5th decade and mean age of 49.90±12.1 years. Majority (59.2%) of the BCs were HR positive and only 17.1% of BCs in women ≤40years were triple negative (TN). HER2 BCs and triple negative breast cancers (TNBCs) were commoner in women aged &gt; 40 years. Conclusion: There is higher proportion of hormone receptor positive breast cancers in this study compared to previous study in our locality and other parts of the country. The higher proportion of triple negative breast cancers in other studies may be due to pre-analytic factors.
Kombinasi Metode Fuzzy Multiple Attribute Decision Making (FMADM) dan Simple Additive Weighting (SAW) Untuk Menentukan Calon Reviewer Internal Universitas Islam Kuantan Singingi

The Institute for Research and Community Service (LPPM) of the Islamic University of Kuantan Singingi annually selects prospective internal reviewers, in which the current selection process is carried out by looking at the requirements for prospective reviewers who register at the LPPM section, then these requirements will be selected one by one. with the provisions that have been set, the results of the assessment obtained by each candidate will be ranked based on the highest value to the lowest value, the selection process in this way is sometimes less effective and causes errors during the assessment, this can later be detrimental to the nominating participants. In this study, the author tries to apply the FMADM and SAW methods which can help LPPM in selecting prospective internal reviewers. This Fuzzy Multiple Attribute Decision Making (FMADM) method will later be used to find alternatives from a number of alternatives with certain criteria, while the Simple Additive Weighting (SAW) method is used to find the weighted summation of the performance ratings on each alternative of all attributes, the results obtained from both This method will add up the scores for each criterion based on the requirements entered by the prospective internal reviewer participants, from these results it can be seen that the score obtained by each participant can be seen. This result will be taken into consideration by the committee or leadership in determining the internal reviewer at the Kuantan Singingi Islamic University
A visual framework for software requirements traceability

Requirement traceability supports several activities of software development processes such as impact analysis, requirement changes, maintenance, verification, and validation of a software system. For its effective use in those activities, the graphical representation of traceability data plays an important role. However, several traceability tools lack an excellent visual representation to present these type of data. Therefore, this paper presents a visual framework which has been designed and proposed as a prototype tool that can visualize traceability data. The framework applies data visualization techniques to represent requirements and its artefacts relationships as colour-coded symbols on a node-link diagram; users can traverse the graph with an impact analysis method to understand data and make decisions. The evaluation result shows that the proposed tool is useful and easy enough in terms of improving user interaction and to better understand requirement traceability data.
PERCEPTIONS OF EXPERIENCED AND NOVICE TEACHERS ABOUT THE IMPORTANCE OF LESSON PLANNING FOR EFFECTIVE LEARNING IN PRIVATE ELEMENTARY SCHOOLS OF GILGIT CITY

This study intended to explore the perceptions of novice and experienced teachers about the importance of lesson planning for effective learning in selected private elementary schools in Gilgit city. A qualitative approach focusing on case study was used to conduct this study. The researchers collected data by using in-depth semi-structured interviews. The study revealed that novice and experienced teachers both realized the importance to lesson planning. It was revealed that lesson planning contributes to students learning. Although teachers use different formats to plan their lessons. Moreover, it was found that novice teachers regularly develop their lessons in detail on the other hand experienced teachers do not regularly plan their lessons in detail. Teachers' workload was one of the hurdles in planning lesson. On the basis of the findings it was recommended that teachers should develop lesson plans for their classes because it provides guideline and teachers can teach effectively which ultimately improves students learning. Keywords: Perceptions, novice teachers, experienced teachers, lesson planning, private schools, Gilgit city
The Administration of the Digital Environment of Higher Educational Institutions: the Identification of Users

The article considers the issue of administration of the digital environment of higher education institutions in terms of the identification of users.Each higher education institution sets its requirements, features of functionality, which leads to the constant adaptation of such systems for each educational institution.Therefore, it was decided to design and develop a digital educational environment of the university, which would digitize the basic educational and management processes of a typical free economic zone, but taking into account the peculiarities of the educational process at the Zhytomyr Polytechnic State University.When conducting educational activities with distance learning technologies using a digital educational environment, it is important to consistently identify, authenticate and authorize participants in the educational process.Therefore, this paper focuses on these issues from the point of view of the administrator of the digital environment.The article describes in detail the capabilities of the digital environment administrator, which are: editing student accounts, providing roles, managing users, roles, rights, rules, routes, and menus.Detailed attention is paid to the management of roles and their functionality.The use of the above-described approaches to the identification, authentication, and authorization of participants in the educational process does not guarantee the observance of academic integrity, in particular, when students undergo higher knowledge assessment and certification procedures.
Covert Digital Communication Using Random Frequency Hopped Spread-Spectrum

In this paper, it is proposed a novel secure communication system based on random frequency-hopping. The transmitter generates a carrier which consists of certain number of sinusoidal signals having constant duration and random frequency taken from a prescribed probability density function depending on the binary information. The covertness of the proposed transceiver is analyzed in terms of autocorrelation of the instantaneous frequency. It is shown that instantaneous frequency within constant bit duration exhibits autocorrelation of actual noise. The non-coherent detection is performed by estimating peak frequencies within each hopping time interval and the resultant receiver utilizes the statistical information to determine the transmitted message bit.
Application of expert system diagnosis of color blindness with ishihara method with microsoft vb 6.0

Application Expert System Diagnosis of Color blindness using the Ishihara Method With Microsoft VB 6.0 is a system that makes it easier to diagnose eye disease (color blindness). In developing engineering systems the development of expert system application applications. To facilitate the development of this program application, Researchers use modeling/designing flow chart tools or structured modeling. And designing input systems in the form of Interface Design related mechanisms for the use of applications of this expert system.
The Impact of Knowledge Management on Strategic Management Practices

Purpose : The study aims to assess the effect of knowledge management on strategic management in the General Administration of Education in Jeddah, Saudi Arabia. Design/methodology/approach : The research employed a quantitative method and descriptive analysis was conducted using SPSS21 and AMOS 23. The design, which has six independent variables and a single dependent variable. The study uses the questionnaire tool, a questionnaire was developed by the researcher, and distributed to a sample of 316 employees of the General Administration of Education in Jeddah in Saudi Arabia. and the questionnaire is two-part. The first is for primary verses such as age, experience, degree of employment, scientific qualification, and average income, and the second part is to address the knowledge management dimensions (knowledge distribution, knowledge acquisition, knowledge diagnosis, knowledge storage, knowledge generation, knowledge application) and its relationship to strategic management practices, the testing measurement validity and reliability could be occurred by EFA then analyzed the data by using multi regression .The study is based on the descriptive analytical approach to suit its purposes, free from reviewing and reviewing the theoretical literature on knowledge management and strategic management practices, in addition to reviewing previous relevant studies. Findings : knowledge management processes impact on Strategic Management Practices when testing the relationship between knowledge management processes and strategic management practices by structural equation modeling SEM, but the knowledge acquisition has no significant effect on strategic management practices. Research limitations/implications : The research was applied to the General Administration of Education in Jeddah, in Saudi Arabia, and the research was limited to the city of Jeddah only, and these tools can also be applied to other government institutions, especially in departments that work in providing services to the public. It is believed that knowledge management will have a role Effective if it is applied in service institutions that seek to apply strategic management to meet the increasing needs of the public. Originality/value : The paper is of theoretical and practical importance, as the theoretical importance is the literary addition to which research contributes to the theoretical enrichment of scientific literature on knowledge management and strategic management practices, The paper also has its applied importance as it deals with the effect of knowledge management on implementing strategic management practices. This will be applied in Jeddah, Saudi Arabia, which contributes to developing strategic performance based on knowledge management.