Reviewerly/exHarmony huggingface dataset:
Side-Channel Attacks on Masked Bitsliced Implementations of AES

In this paper, we provide a detailed analysis of CPA and Template Attacks on masked implementations of bitsliced AES, targeting a 32-bit platform through the ChipWhisperer side-channel acquisition tool. Our results show that Template Attacks can recover the full AES key successfully within 300 attack traces even on the masked implementation when using a first-order attack (no pre-processing). Furthermore, we confirm that the SubBytes operation is overall a better target for Template Attacks due to its non-linearity, even in the case of bitsliced implementations, where we can only use two bits per key byte target. However, we also show that targeting the AddRoundKey can be used to attack bitsliced implementations and that, in some cases, it can be more efficient than the SubBytes attack.
RANCANG BANGUN SISTEM PAKAR DIAGNOSA GANGGUAN SUASANA PERASAAN (AFEKTIF) MENGGUNAKAN METODE TEOREMA BAYES BERBASIS ANDROID

Feeling disorder a group of clinical features characterized by reduced or lost emotional control and self-control. Affective disorders can be depression, manic or a mixture of both (bipolar). Someone who has mood disorders needs treatment as early as possible through early detection and an accurate assessment is carried out in consultation with a psychologist. So a system is needed that can detect the possible disturbance of the mood. Expert systems are part of artificial intelligence that mimics the slow pace of an expert. Bayes' Theorem is a way of knowing conditional probabilities. Conditional probability is the probability of an event occurring, given that it has some relationship with one or more other events. The probability value of symptoms and disease is obtained based on the experience of an expert. This expert system can produce a process of diagnosing mood disorders with some data about mood disorders in the form of symptom data, disease data and its probability value. The accuracy rate is 100% using 10 test data. An expert system for diagnosing mood disorders which is designed to be an Android-based application of JavaScript and PHP as a programming language, Cordova as a framework for creating mobile applications, PHP 7.2.1 as a web server, MySQL 5.0.21 as a database.
APLIKASI PENILAIAN KINERJA DOSEN MENGGUNAKAN METODE ADDITIVE RATIO ASSESSMENT ( ARAS )

STMIK Lombok is one of the Private Universities that regularly conduct assessments of lecturers every semester. This is done in order to motivate lecturers in improving service to students. Although in its implementation, the performance assessment of this lecturer runs smoothly but has not reached optimal because it still uses Microsoft Excel in the calculation process so it takes a long time in the process of calculating values and reporting process. so it still needs improvements, especially in the assessment process using the application. This research aims to build an assessment information system and evaluate the performance of STMIK Lombok lecturers. The ARAS (Additive Ratio Assessment) method is one of the multicryteria decision-making methods based on the concept of combat using a utility degree, namely by comparing the overall index value of each alternatife to the optimal alternative overall index value. This decision support system can provide selected alternative decisions that can later be used as a reference to determine the best Lecturer Performance. The system development method used is Waterfall, PHP as a programming language and uses data flow diagram (DFD) system modeling. The testing process used in this application is the Black Box. The results of this built Application can speed up the process of calculating the performance assessment of lecturers and the reporting process more effectively and efficiently.&#x0D; &#x0D;
Hospitality School Students’ Perception on the Use of Wordwall to Enrich Students’ Work-Ready Vocabulary Mastery

This study addressed the gap of research on the innovative learning medium Wordwall for working adult learners by investigating the perceptions of students of Apollonia Hotel School in Denpasar, Indonesia, regarding how well Wordwall helps in increasing their English vocabulary during online learning. The method used by the researcher was qualitative. Data were collected from 10 respondents who had been selected with qualifications of activeness while studying, and always participated during the process. Data obtained from short questionnaire distributed through Google Form, then analysed using a qualitative descriptive model according to Creswell, (2012). From the data analysis, the researcher found that the students had high enthusiasm in learning vocabulary through the Wordwall application. This application provides various types of creative and interactive vocabulary games. The disadvantage is that this application does not provide a place to explain explanations for students' answers, both right and wrong. Students have the opportunity to learn about context and changes to sentences in games. Based on this analysis, it proves that Wordwall is an effective learning media to help increase students' vocabulary as a future career opportunity. In addition, Wordwall is also effectively used during online learning to provide interesting vocabulary questions. From this study, it is suggested for hospitality lecturers to use Wordwall application because it can help students to be more motivated to learn English vocabulary.
Outlier Detection in Inpatient Claims Using DBSCAN and K-Means

Health insurance helps people to obtain quality and affordable health services. The claim billing process is manually input code to the system, this can lack of errors and be suspected of being fraudulent. Claims suspected of fraud are traced manually to find incorrect inputs. The increasing volume of claims causes a decrease in the accuracy of tracing claims suspected of fraud and consumes time and energy. As an effort to prevent and reduce the occurrence of fraud, this study aims to determine the pattern of data on the occurrence of fraud based on the formation of data groupings. Data was prepared by combining claims for inpatient bills and patient bills from hospitals in 2020. Two methods were used in this study to form clusters, DBSCAN and KMeans. To find out the outliers in the cluster, Local Outlier Factor (LOF) was added. The results from experiments show that both methods can detect outlier data and distribute outlier data in the formed cluster. Variable that high effect becomes data outlier is the length of stay, claims code, and condition of patient when discharged from the hospital. Accuracy K-Means is 0.391, 0.003 higher than DBSCAN, which is 0.389.
The Infographic – “Geographical Map” as a Visualisation Method in Fine Arts Lessons in the Conditions of a Vocational School

In the era of highly developed digital technology there is a rapid production, distribution and consumption in the form of visual images. With the increasing volume of visual information there is a growing need to find new means of visualization in all spheres of human activity, including education. One of the effective methods of visualization is infographics. Modern pedagogical science, which studies different ways and methods of visualization in education, pays much attention to infographics. One of their varieties - the infographic-‘geographical map’, is developing in pedagogical science. The use of such infographics was proposed for the first time in Fine Arts lessons in a vocational school. This article provides a method description of a specific example of creative learning work on the use of infographic-‘geographical map’. The conclusions in the article concern the description and commenting of positive educational results of the method of geographical infographic during the mastering of visualization methods by students.
Strategic Planning Promosi Pariwisata Museum DPR di Era Digital

Museum is one of tourism destination that faces a huge challenge in this digital era and that happens on DPR Museum at Jakarta. To face that challenge, it needs a promotion strategy applying digital marketing. How is Museum DPR tourism promotion strategy in this digital era? This research based on concepts of strategic planning, SOSTAC (Situation analysis, Objective, Strategy, Tactics, Actions, Control), tourism marketing, and digital marketing. For the methodology, this research uses interpretive paradigm, political significant sampling with the Head of Museum Association as the informant, and domain analysis as the data analysis technique. The result describes that the strategic planning and SOSTAC applied have not been ideal because of the problem that has been experienced by the DPR Museum.
Exploring EFL Higher Education Learners’ Attitudes Toward Writing Skills Process

Learners' writing attitudes have been heavily debated as a research topic. The main objective of this current investigation is to explore the learners' attitudes towards the writing process and functions at the higher education level. It is designed as a quantitative approach, with the design as survey research. Thirty-five learners of the English Study Program of FKIP Universitas Islam Indragiri were chosen as the samples. The researcher utilized a questionnaire designed on a Likert scale in obtaining the data. Then the data was analyzed using descriptive statistical analysis, which included individual scores, percentages, mean scores, and attitude level. The findings indicate that the learners' attitudes toward the writing process and functions ranged in the mean score of 3.83, which was categorized as a positive attitude. Therefore, it can be inferred that they have good skills for writing because they have a positive attitude toward writing.
Intelligent Analysis of Exercise Health Big Data Based on Deep Convolutional Neural Network

In this paper, the algorithm of the deep convolutional neural network is used to conduct in-depth research and analysis of sports health big data, and an intelligent analysis system is designed for the practical process. A convolutional neural network is one of the most popular methods of deep learning today. The convolutional neural network has the feature of local perception, which allows a complete image to be divided into several small parts, by learning the characteristic features of each local part and then merging the local information at the high level to get the full representation information. In this paper, we first apply a convolutional neural network for four classifications of brainwave data and analyze the accuracy and recall of the model. The model is then further optimized to improve its accuracy and is compared with other models to confirm its effectiveness. A demonstration platform of emotional fatigue detection with multimodal data feature fusion was established to realize data acquisition, emotional fatigue detection, and emotion feedback functions. The emotional fatigue detection platform was tested to verify that the proposed model can be used for time-series data feature learning. According to the platform requirement analysis and detailed functional design, the development of each functional module of the platform was completed and system testing was conducted. The big data platform constructed in this study can meet the basic needs of health monitoring for data analysis, which is conducive to the formation of a good situation of orderly and effective interaction among multiple subjects, thus improving the information service level of health monitoring and promoting comprehensive health development.
Authentication Mechanisms in the Cyber Security Domain: Hash Code, OTP, and CAPTCHA

Abstract: It is important to integrate security as part of system and software development. A computer can be accessed by anyone. Cyber security acts against hackers. Security begins with authentication. Access to systems, networks, databases, websites, and services are regulated using authentication. The most fundamental category of verification is done with usernames and passwords. In our paper, we propose new approaches to each of these authentication mechanisms, which include hash code message authentication, the Entirely Automated Public Turing Test to Notify Computer systems and Human beings Apart (CAPTCHA), and one-time passwords
Social issues faced by children which can be solved through children’s literature

This article discusses social issues faced by children which can be solved through children’s literature. Apart from children’s literature is seen only as a resource for reading, it can also be utilised in solving other societal ills faced by children. These ills include bullying, abuse, family structure and physical impairment. Social challenges are unpacked, detailing how they affect children. Low literacy levels are an issue for many children in South Africa. There are external conditions of learning which may be explained as features outside the learner that influence learning possibilities and are involved in the learning process. These external features are what this article analyze as it has been observed that some of them inhibit the environment for learning, thereby obstructing learning or the required standard of literacy in general.
Pemodelan Pneumonia Berat Menggunakan Regresi Zero Inflated Negative Binomial di Gorontalo

In certain cases, the response variable has an excess zero that causes overdispersion. Therefore, to overcome overdispersion because excess zero Zero-inflated negative binomial regression can be used. The purpose of this study is to apply Zero inflated negative binomial regression to model the case of severe pneumonia in Bone Bolango and on the city of Gorontalo. Based on the result of ZINB Regression, it was found that there are 3 (three) factors that are significant that is ASI, Vitamin A, and low birth weight.
Increased utilization of electronic collections during the covid-19 pandemic

Background: The Covid-19 pandemic has forced most of the people to live their personal and professional lives from home. In this condition, the use of electronic collections as a source of easy, fast, and quality information to support the learning, research, and entertainment process becomes important. Objectives: This study aims to review how the library's efforts in dealing with the increasing use of electronic resources during the Covid-19 pandemic and explore various obstacles and challenges faced by libraries in the future. Methods: The method used in this study is a literature study, namely reviewing and interpreting the latest studies that review the impact of the pandemic on increasing the use of electronic collections. From the results of a literature search, 26 scientific articles were found that were published between 2016-2021 and. Of these, 17 journal articles and 1 proceeding article were selected that were relevant to the research focus. Results: The results show that the library has empowered various electronic resources that can be accessed openly (open access). However, this increase also demands an accelerated digitization and ease of access to library services. The increase in the use of electronic resources occurs because there is a need and a major change in the behavior and attitudes of users in finding and using information. Conclusion: Increased utilization of electronic collections provides important lessons for librarians and stakeholders to become better prepared to complement and enhance new digital services, be more creative and collaborative in providing services, employ more people who are able to use new technologies to meet the needs for services and electronic collection that will continue to increase. In other words, there will be more assignments that will be requested and assigned to the library in the future.
Cognitive Content for Information and Communication Technologies in the Programme Systems for Preschool Education 2018/2019

The latest educational standard in the field of Design and Technology, reflected in Ordinance 5 of 2016, is the newly included content for “initial acquisition of knowledge about information and communication technologies”. It required almost complete restructuring of the cognitive content, as well as the discovery of a new core technique. Based on this requirement, this study examines teachers’ opinion on the acquisition of information and communication technologies by children in kindergarten, as well as the ways of reflecting and applying the same content in the most preferred preschool education systems approved by MОЕ, 2018/2019.
Distributed rule execution mechanism in smart home system

&lt;p&gt;Smart home systems become an interesting topics in the last few years. Many researchers have been studied some features. Most of smart home system use a centralized architecture know as centralized smart home system (CSHS). The centralizedmechanism is easy to manage and to configure. However, in fault-tolerant systemparadigm it produces a problem. The entire system will fail, if the master station fails.Another problem of CSHS is centralized mechanism gives more data-flow. This condition makes the system has a greater delay time. To solve the problem, we proposea distributed rule execution mechanism (DREM). Compared to the centralized mechanism, the DREM allows a device to provide its service without any commands fromthe master station. In this mechanism, since the information does not need to go tothe master station, the data-flow and the delay-time can be decreased. The experimentresults show that the DREM is able to mask the failure in the master station by directlytransmit the data from trigger device to service device. This mechanism makes the services provision without master station possible. The mathematical analysis also shows that the delay time of the service provision of the DREM is less than the delay time ofCSHS.&lt;/p&gt;
MODELING STUDY OF NATURAL AIR CIRCULATION IN HOTEL &amp; RESORT BUILDING

The planning and design of a Hotel &amp; Resort should be in accordance with the climate and location of the construction. In Indonesia, especially in areas that have cool air and are far from air pollution and noise pollution, they have a tropical climate, so Tropical Architecture is very suitable for planning and designing Hotels &amp; Resorts, but it is possible to plan and design Hotels &amp; Resorts with other architectural characteristics. Modeling studies can also be called modeling design and information about buildings, which is a field of science that examines development planning, development implementation, and maintaining and repairing if there is damage in a building. Activities from these fields of science are studying design drawings of houses, offices, buildings, and so on. In addition, this field of science does not only study building design, but this field of science will learn how to calculate the cost budget plan which is often referred to as RAB. Air circulation modeling has several sub-specifics, namely Planning Plan, building view, section view, Air Flow Scheme, and air circulation calculation. The building modeling method here uses an application called Autocad and SketchUp, then for the calculation of the natural air circulation using the ACPH (Hourly Air Exchange System) method. . Building 1 has a building area of ​​approximately 1486.7 M2 2 floors, building 2 has a building area of ​​461 M2 1 floor, and the hotel room area has a building area of ​​940.56 M2.
Some Considerations on Conceptual Modeling for a Laboratory Information Management System

The benefits of information systems are widely treated in the literature. Information systems were designed to fulfill specific needs of an organization, such as, among others, customer relation management, planning of organization resources, and customer experience. Concerning the testing and calibration laboratory, a specific information system is designed to fulfill the requirements expressed by the standard EN ISO/IEC 17025:2017–Laboratory Information Management System. The research explores the design phase of a Laboratory Information Management System adopted to an EN ISO/IEC 17025:2017 accredited testing and calibration laboratory by using adequate modeling techniques, especially in the domains of conceptual and information modeling. The research objective goes aligned with the requirements to induce for the laboratory organization an improved structure so that laboratory will gain a better product mix, a better margin, and attract new customers.
The role of library leaders in maintaining service quality during the covid-19 pandemic

Background of the study: The emergence of covid-19 has a big impact on the joints of human life, as well as libraries. As one of the organizations engaged in library education service visits, they are forced to “change” themselves quickly. Purpose: This change will be difficult if the library does not have a leader who is not competent in addressing this case. This study uses qualitative methods with descriptive approaches in explaining the role of the leadership in the Muhammadiyah University of Ponorogo library during the Covid-19 pandemic. Method: Data collection is obtained from literature studies that come from books, journals, or other relevant sources as well as interviews with parties deemed important. Findings: The results of this discussion show that leadership is an important figure in the changes made by the Muhammadiyah University of Ponorogo library during covid-19. This can be seen from the policies issued during the Covid-19 pandemic that protect members but do not reduce the quality (library rights) of the library. Conclusion: Remembering to be the leader of an organization one must have several skills/abilities such as technical, conceptual, and human abilities.
The Use of Instagram Blog to Promote Students’ Writing Skill in Descriptive Text of English Tour and Travel

Students’ in tourism business management vocational education program of Banyuwangi State Polytechnic must have excellent writing skill to promote tourist destination in Banyuwangi by writing a description of tourist destination in Instragram blog. This study aims to identify and to describe teaching learning process by using Instagram blog. This research used qualitative design. The researcher began to investigate the classroom online teaching and learning classroom activities by using several research instruments such as observation checklist, interview, and questionnaire. The lecturer tried to use Instagram blog as teaching aid during teaching and learning process especially in writing descriptive text about some popular tourist destinations in Banyuwangi. She also made them interested to begin write their idea. It could give the students a greater chance to write and express their ideas in English. This research was hold in Banyuwangi State Polytechnic on February 4th until 4th March, 2021. The result of this research was Instagram blog can help the lecturer taught well besides that the lecturer had already prepared learning contract well therefore she taught clearly.