Reviewerly/exHarmony huggingface dataset:
Internal factors that are influencing in determining the selction of expertise programs in vocational high school

This study aims to examine the effect of students' internal factors (information literacy, self-understanding, and attitude) on their decision to enroll in the mechanical engineering program of vocational high school. It is ex-post facto correlation research using a sample of 300 out of a total of 1,086 students. The sample was established using the proportional random sampling technique by means of the Krejcie and Morgan formula. The data were collected by means of questionnaires, observation sheets, and documents. The findings reveal that (1) There is a significant and positive correlation between the internal factors and the student's decision to enroll in the mechanical engineering program of vocational high school (VHS); and (2) All internal factors have a significant effect on both directly and indirectly on the students' preference for mechanical engineering program of vocational high school (VHS).
Pelatihan Media Daring untuk Staf Administrasi

In the 21st century, the Industrial Revolution 4.0, the Covid-19 pandemic, accelerated Muhammadiyah's organizational transformation by optimizing media and online methods as organizational needs. The Covid pandemic has been running for more than a year. Still, as human resources responsible for preparing online media, the administrative staff and the secretary of the institutional assembly still often face technical problems that cannot be resolved quickly. The goal to be achieved in this service program is to provide education and training so that the staff and secretary of the institutional assembly can optimize online media and methods and can solve technical problems in emergencies. The implementation method of this program is online training to provide a basic general understanding, followed by offline training to practice zoom webinar media as MC and Online Moderator. The results and implications of this program are that participants can understand and implement the zoom webinar media as MC and Online Moderator in their respective duties. The conclusion is that after this community service program is held; participants can understand and implement the Zoom webinar media as MC and Online Moderator in their respective duties professionally.
Grafika Mengabdi dan Menginspirasi: Pelatihan Kalkulasi Biaya Produksi Cetak di SMKN 7 Jakarta

One of the essential resources in management is human resources. The importance of human resources needs to be realized by all levels of management. Schools as a unified education system are expected to provide learning experiences for all students to master competencies by the level of education and the unique mission it carries. However, the lack of human resources allows this service movement to fill the existing problems. The training carried out is the calculation of print production costs. In implementing this community service activity, several methods are used, including observation, interviews, discussions, questionnaires, theory, and practice calculating the cost of print production and ending with an evaluation. There was an increase in students' knowledge from 10% to 83.33% after the training. Suppose the school has difficulty finding teachers/HR according to their competence in teaching print cost calculation subjects. In that case, the school should often provide training from higher education institutions and industry to reduce HR competencies gaps.
The Implications of Requirements Engineering For Public Administration in Nigeria

ABSTRACT The major constrain to effective Requirements Engineering in Nigeria is ecological issue which the government regulates. Therefore, it is imperative to examine its implications for effective government decisions and actions. This paper discusses these issues and profer tenable solutions. Keywords: Public Administration, Nigeria, Requirement Engineering, Solutions Government Regulations.
Multidisciplinary Perspective on Requirement Engineering In Africa

In Africa, we have lots of projects and products worth huge amounts of money that are imported and some projects executed which do not necessarily conform with the immediate need of the people in the locality where they are sited or put in use. As a result such projects, products or services do not achieve their purpose of procurement or execution. Reason being that they are not suitable to the end-users/ consumers. The reason for such inefficiencies is that there was little or no prior thorough understudy of how best to meet the requirement of the end-users with respect to their environment where they are located before developing such products or carrying out such projects. For such occurrences to be curbed, the requirement of the stakeholders involved in the utility of the product has to be thoroughly considered so as to design a software or product model that will form a template for producing the right product that will meet the desired needs of the stakeholders or end –users correctly. This is the essence of requirement engineering in product development or project execution tailored to meet the need of the people they are meant for. Before carrying out product development, there should be inputs of professionals from different fields whose professional expertise is needful in developing a working template or model for the product in view. Keywords: Requirement, Convergence, Innovative products, Software, Model
LightWeight Public Key Cryptography Based on Cyclic Group of 6x Mod 11 and its Application to Image Encryption

One of the popular fields for research work is the Internet of Things(IoT). The security of this is one of the most challenging one.Almost all IoT devices are having very few memories and processing powers.Powers for these are to be consumed in an efficient way.The existing security algorithm needs more processing powers and memories, Hence Lightweight cryptography is one of the emerging areas in Iot's.In this paper it is suggested a novel method of using lightweight public key cryptography by using an equation 6 x mod 11.This is used in this work for the encryption of an image standard image Lena.This image is step down to mod 11 and encrypted for the convenient purpose.The performance of the encryption is measured by evaluating the values of standard deviation, entropy, histogram and visual process
The Exploration Of Need Analysis In English Language Teaching : Teaching Reading Skill

Needs analysis is generally believed to be important in ESP/EAP context because it enables practitioners and materials writers to find out about their real learners' needs. Therefore, the aim of the study is to explore the need analysis in teaching reading in English language teaching. Needs analysis has to be encouraged and leaners' needs has to be explored. Teacher has to be involved in doing the need analysis. The results demonstrate that EFL learners have difficulty in reading especially to comprehend the reading.&#x0D; Keywords: need analysis, reading
Motivational Factors Affecting Undergraduate Students' Reading Interest

The purpose of this research is to find out factors that affect undergraduate students' lack of motivation in reading. This research only focuses on the surface of the lack of motivation, this research doesn't find the deeper reason. The subject of this study was undergraduate students of IKIP BUDI UTOMO Malang in the English Education Department 2019, A class. The subject was 20 undergraduate students. To collect the data, the researchers used questionnaires and interviews. The use of questionnaires was intended to reveal written data and the interview was unstructured. After distributing the questionnaire, researchers found out that there are few factors affecting undergraduate students lack of motivation in reading. 55% undergraduate students have an average opinion about reading in their spare time, 75% read less than 1 hour everyday and 60% like to read novels. Most of the respondents' motivation to read is to spend time. 43% of the respondents have neutral opinions about whether friends, lecturer or mood have influenced them. And the most obvious obstacle according to the respondents is laziness.
RECOMMENDATION FOR HIGH SCHOOL DETERMINATION BASED ON ACADEMIC POTENTIAL USING NAÏVE BAYES METHOD

Education is an important factor in educating the nation's generation. Indonesia has a 9-year learning program that forms the basis for every student at every school level. Not infrequently, some students are confused in choosing a secondary school, so many students still make the wrong choice because they do not constantly adjust to their academic potential, only follow friends' invitations to continue to high school, as well as encouragement from parents. Thus, when they continue to school, they become less enthusiastic and do not participate optimally in learning at school. This study aims to support students in finding alternative secondary schools that follow students' academic potential and assessment attributes in research. The method in this research is Nave Bayes because it can produce high school recommendations by finding the most significant probability value of the attributes used in studying subject values, craft scores, and the value of the extracurricular areas of interest. The results of high school recommendations for students of SMP Negeri 3 Seririt can be used as an information, and based on the results of testing using the Confusion Matrix on 40 student data, the accuracy is 58.33%, the calculation precision is 75%, and the recall calculation is 43%.
Türkçe Mekan Öneri Chatbot Uygulaması için Makine Öğrenimi Tabanlı Doğal Dil İşleme

In recent years, mobile applications occupy an important place in our lives. Thanks to machine learning and the chatbots advancements, people can easily access the information they want or the things they need. Our purpose in this study is that users can access detailed information about the main venues of Istanbul from a single application, access their menus and photos, read the blog posts written by gourmets about these restaurants, show nearby venues according to their instant location, and to gather young gourmets chasing different tastes under a single application by developing a Turkish chatbot that can find the most suitable venues according to users' wishes or offer suggestions about venues to visit. In order to evaluate our application, we tested it on both Android and iOS platforms and achieved successful results on two platforms
PENGEMBANGAN E-MODUL PADA MATERI TRIGONOMETRI SISWA KELAS X SMA N 1 PAJANGAN

This research aims to develop an e-module assisted by Macromedia Flash 8 which is feasible (valid, practical, and effective) to be used in learning the rules of sins and cosines of trigonometry for high school students in class X. The research was conducted at SMAN 1 Pajangan, which is located in Guwosari, Pajangan, Bantul in the academic year 2021/2022. This research is a development research that uses the Brog and Gall method using 10 stages of research, namely: research and information collecting, planning, developing primary from product, premilinary field testing, main product revision, main field testing, operational product revision, operation field testing, final product revision, desimination and implementation. The main sample of the research was 30 students of class X MIPA 3. The data collection technique of this research used a questionnaire, namely a questionnaire for expert validation and a student response questionnaire to see the practicality of the e-module. The data analysis technique used is a qualitative analysis technique for compiling data reduction, while other analytical techniques are used in a qualitative descriptive manner to present data in the form of numbers and tables. The results of the research concluded that the e-module assisted by Macromedia Flash 8 was feasible because material experts and e-module experts stated that the module was valid with an average score of 4.35 and 4.65 with the criteria of "Very Good". Based on the students' responses, they stated that they were practical with a good response percentage of 83%, and based on the average student score above the KKM, the average score of 25 students was 72.5.
A Novel Temporal CNN Model to Predict Malicious Transactions in Ethereum Blockchain

Blockchain is one of the most advanced technologies that play an important role in many different fields such as healthcare, capital markets and logistics.Among the many existing blockchain platforms, the integration of the Turingcomplete virtual programming engine with the blockchain makes the Ethereum blockchain one of the most paramount infrastructures for various types of applications, including but not limited to cryptocurrency trading, smart contracts, decentralised finance and metaverse.Nevertheless, Ethereum like many other computing systems, has fallen victim to vector attacks that exploit its vulnerabilities and have catastrophic consequences.Out of the need to protect Ethereum from such attacks, this paper proposes a novel deep learning model based on convolutional neural networks.The proposed model treats the transaction, which is the atomic entity in this platform, as a stochastic time series and then develops two specific task layers that are compatible with the traditional CNN architecture.The first layer is responsible for detecting the seasonal characteristics of the transactions, while the second layer is used for detecting the trend.These two layers are integrated with the traditional architecture to form a powerful temporal CNN architecture that can classify different types of attacks.The performance of the proposed model was evaluated from a different perspective using real transactions collected from the Ethereum main-net network.The results of the comprehensive evaluations show the ability of the proposed model to perfectly identify malicious transactions in the Ethereum blockchain.
Scalable Neural Dialogue State Tracking

A Dialogue State Tracker (DST) is a key component in a dialogue system aiming at estimating the beliefs of possible user goals at each dialogue turn. Most of the current DST trackers make use of recurrent neural networks and are based on complex architectures that manage several aspects of a dialogue, including the user utterance, the system actions, and the slot-value pairs defined in a domain ontology. However, the complexity of such neural architectures incurs into a considerable latency in the dialogue state prediction, which limits the deployments of the models in real-world applications, particularly when task scalability (i.e. amount of slots) is a crucial factor. In this paper, we propose an innovative neural model for dialogue state tracking, named Global encoder and Slot-Attentive decoders (G-SAT), which can predict the dialogue state with a very low latency time, while maintaining high-level performance. We report experiments on three different languages (English, Italian, and German) of the WoZ2.0 dataset, and show that the proposed approach provides competitive advantages over state-of-art DST systems, both in terms of accuracy and in terms of time complexity for predictions, being over 15 times faster than the other systems.
Socio-psychological techniques of information warfare

Since the end of the XX century, information technologies have begun to actively penetrate into all spheres of society, which led it to a new stage, so-called "informational". In the new society, information has become the main element of people's existence. For this reason, they very often fall under the influence of persons interested in solving various kinds of political problems in the way they need, which is nothing else than an "information weapon». In the world today one can observe such vivid results of its application as hatred between citizens of different states, the disintegration of society and the creation of the image of an enemy. The successful conduct of an information war in the international arena can provide a huge impact on the opinion of the world community. At its core, the information war has already become a kind of military interstate confrontation. In the development of such conflicts, the most important element is the informational and psychological suppression of the enemy, which consists in frightening and emotionally suppressing the opponent. In these sense, the knowledge of forms and methods of such information warfare will not only weaken and minimize its effect, but also protect people, giving them the opportunity to ensure both general and information security. This paper is devoted to the problem of classifying of various methods of informational and psychological impact on the individual and society and the features of their application for the realization of certain goals of a potential enemy.
The effectiveness of the development of multi-platforms-based disaster risk reduction learning media to manifest Sekolah Siaga Covid-19

School closures during covid-19 are predicted to impact the quality decrease of graduates in the future permanently. This condition is exacerbated by the lack of public awareness of disaster risk reduction (DRR). Moreover, Disaster risk reduction management must be a priority agenda for all parties. The reactive response needs to be shifted to a proactive response to make the impact more effective. Proactive management of disaster risk reduction requires more participation from various institutions, such as government, non-government and private, and public participation. This training aims to improve teachers' knowledge, skills, and attitude toward using multi-learning platforms. The training effectiveness is measured by the gain normality test of one group pre-test and post-test design applied in research syntax to 22 students. The study results in that 1) training can improve teachers' knowledge, skills, and attitude to integrate non-natural disaster risk reduction in learning with an average of 0,33 N-Gain increases in the medium category. 2) training can improve teachers' knowledge, skills, and attitude to integrate learning multi-platforms, which increases N-Gain of 0,59 in the medium category. This research, in this regard, recommends that school is likely a place to develop a sustainable, structured, and systematic Covid-19 disaster risk reduction program.
Improving Students Reading Fluency through Audiobooks in Remote Learning

Due to the Covid-19 pandemic, the teaching and learning process has become more challenging and stressful. Students are expected to do self-learning without being directly guided when attending the class is not possible, while the teachers must keep encouraging the students to learn independently. At the same time, the teachers also have to think about alternative methods and materials for remote learning. Especially for those teachers who teach EFL students, they have to figure out certain materials that meet students' needs and the most relaxing activities that fit students learning styles so that the students can learn independently without feeling bored. Therefore, this study aims to investigate the implementation of audiobooks to foster students' performance in English, especially in reading fluency during remote learning. This study represents Action Research that employs quantitative and qualitative types of data. It is done in the form of cycles adapted from the Action Research cyclical process (from Mertler, 2012b). The result of this study showed that audiobook has a favourable implication on the student's ability to be more fluent in reading and positively influences students' attitudes toward their experience with the audiobook.
Testing the interaction effect of knowledge management and creative climate towards organizational innovation: Evidence from parastatal organizations in Uganda

Extant literature shows that knowledge management needs the support of creative climate towards organizational innovation. However, existing studies have paid less attention regarding the interaction effect of knowledge management and creative climate on organizational innovation. This paper aims to clarify this relationship by examining the interaction effect of knowledge management and creative climate on organizational innovation in parastatal organizations in Uganda. This paper seeks to broaden the knowledge based innovation system domain by including the creative climate. This paper used an explanatory cross-sectional design where quantitative data were collected from 235 managers of 51 parastatals using a survey instrument. Data were aggregated to a parastatal level. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the interaction effect. This paper clarifies the interaction effect of knowledge management and creative climate towards organizational innovation. Knowledge management and creative climate independently rather than interactively enhance organizational innovation. The findings suggest that effective knowledge management practices and favorable creative climate are essential for organizational innovation. This paper suggests the adoption of an effective knowledge management system and a favorable creative climate as antecedents for organizational innovation. This paper makes a contribution on the question whether knowledge management interacts with creative climate to build organizational innovation, which seems to have been less studied.
Tinjauan dan Pelaksanaan Penyusutan Rekam Medis Di RSU Madani Medan

Depreciation of medical record documents is an activity to separate documents that are declared active and inactive. If the implementation of depreciation is delayed, there will be a buildup of medical record documents that fill the medical record document storage rack. The accumulation of medical record documents makes storage shelves untidy and prone to misplacement of medical record documents (missfile). In Permenkes No. 269/MENKES/PERIII/2008 concerning medical records, medical records are files containing notes and documents regarding patient identity, examination, treatment, actions and other services provided to patients. The purpose of this study was to determine the implementation of shrinking medical record files at Madani Hospital Medan. This type of research is descriptive qualitative. This method is used to describe the cause of the non-implementation of shrinkage of medical record files at RSU Madani Medan. Collecting data in this study conducted interviews with medical record officers. Based on the results of research at Madani General Hospital in Medan, there were 6 medical record officers and only 4 people with RMIK D-III educational background. The implementation of sorting medical record files at RSU Madani Medan is not in accordance with standard operating procedures because the sorting process is more than 5 years old. Hospitals should provide training for filing officers. For non-medical record officers, medical record education and health information to better understand the implementation of depreciation. Hospitals also need to immediately make a retention schedule so that there is a regular schedule for retention.