Reviewerly/exHarmony huggingface dataset:
Public Announcements, Public Lies and Recoveries

The paper gives a formal analysis of public lies, explains how public lying is related to public announcement, and describes the process of recoveries from false beliefs engendered by public lying. The framework treats two kinds of public lies: simple lying update and two-step lying, which consists of suggesting that the lie may be true followed by announcing the lie. It turns out that agents’ convictions of what is true are immune to the first kind, but can be shattered by the second kind. Next, recovery from public lying is analyzed. Public lies that are accepted by an audience cannot be undone simply by announcing their negation. The paper proposes a recovery process that works well for restoring beliefs about facts but cannot be extended to beliefs about beliefs. The formal machinery of the paper consists of KD45 models and conditional neighbourhood models, with various update procedures on them. Completeness proofs for a number of reasoning systems (converse belief logic, public lies logic, lying and recovery logic, conditional neighbourhood logic, plus its dynamic version) are included.
Benefits by Using Internet Banking in Transactions among Cybercrime Threats

This research was conducted to gain confidence in a number of factors such as convenience, trust and security that affect people's interest in transacting using internet banking amid the increasing threat of cybercrime attacks on the theft of account owner assets. The data collection method used a questionnaire with research samples taken from government and private banks using convenience sampling technique and the results obtained were 120 respondents. The results of the study concluded that the convenience and security factors had a positive and significant effect on asking people to use internet banking, while trust had no significant effect.
Encouraging Gameful Experience in Digital Game-Based Learning: A Double-Mediation Model of Perceived Instructional Support, Group Engagement, and Flow

In the current digitalization era, digital game-based learning (DGBL) is used in education to engage and motivate students.Gameful experience (GE) is a crucial precondition to determine the effectiveness of these games.However, previous research focused solely on the effects of games on inter alia student engagement, and empirical research regarding GE is lacking.This study investigates the factors that encourage students' GE.Grounded in the theory of experience, a double-mediation model is developed that considers the direct relationship between instructional support and students' GE and examines how group engagement and flow mediate this relationship.Data from 336 students participating in a team-based business simulation game revealed that group engagement and flow sequentially double-mediated the positive relationship between instructional support and GE.Thus, to encourage students' GE, educators and education institutions should provide appropriate instructional support that promotes group engagement as well as flow among students.
FaRes: A Face Recognition System based on Motion Detection and Image Super Resolution

In Most implementations in recent computer applications include the processing of images and videos.They are therefore subject to many challenges notably the quality of images, the resources availability, variations in scene, etc.With the advent of deep learning approaches, the challenges faced have increased even further: this is because deep learning techniques are mostly based on artificial neural networks and as such, requires a lot of specific resources such as dedicated GPUs (graphical processing units).To cope with these challenges, solutions requiring less resource utilization are proposed.This passes through the inclusion of movement detection module leading to the restriction of further computations to only the zone of interest; that is, the area containing the element of interest (humans, cars, etc.).In addition, image enhancement modules are often used to increase the accuracy of the result.This paper proposes in an approach called FaReS: A face recognition system based on motion detection and image super resolution which uses a proposed improved moving object detection approach, adapted image enhancement and an adapted classification approach.It is assumed that environment considered is that where multimedia sensors such as IP cameras have been installed.The study is focused only on humans and not on all type of objects.
Implementasi Sistem Pendukung Keputusan Penentuan Calon Legislatif Dengan Menggukan Metode Simple Additive Weighting (Studi Kasus: Partai Demokrat Sumatera Utara)

Information system is a very important thing in making a decision. Because the information system has a very high value, so that decisions are taken more quickly and accurately, it must be supported by relevant and accurate data capable of being used by each party in supporting the progress of the organization or company in achieving goals in making good decisions, for this reason members the title "implementation of the decision holder system for determining legislative candidates using the Simple Additive Waighting (SAW) method". Many agencies use computers as a tool to further improve the quality for the agency. By using a computer, the data processing process is carried out quickly and accurately so as to produce data in the form of information, one of which is information on determining legislative candidates for North Sumatra, Medan. The purpose of this system is to make it easier to get information about legislative candidates quickly and accurately. Thus, from the results of the system, it will facilitate the work process of employees in the North Sumatra Medan Democratic Party because the information on determining the required legislative candidates will be processed more quickly.
TEACHER'S EFFORT IN OPTIMIZING THE READING ABILITY OF CLASS I STUDENTS THROUGH ONLINE LEARNING

This study aims to examine the efforts of teachers in optimizing the reading skill of first grade elementary school students during the pandemic, examine the responses of teachers and parents, and examine the difficulties experienced by teachers and parents in teaching students to read during the pandemic. The research method used is the case study method. The research instruments used were documentation, observation sheets and interviews. The results of this study are the first teacher's efforts in optimizing the reading skill of 1st grade elementary school students during the pandemic is to create a "reading motivation" group with the method of reading a book "read" one day one page that is shared every day in the group. Second, the response of parents is that they feel that the group is a solution to reading problems, motivates students to be more active in learning to read, and it can be facilitates students’ to manage their time. Third, the difficulty experienced by teachers is Hard to communicate with students or hard to motivate students directly, parents who have work activities outside the home so that it is difficult to teach children. The difficulties experienced by parents were obtained using an interview instrument using the google form platform.
Assessment of Mosquito Diversity and Plasmodium falciparum in Female Anopheles Mosquito in Students’ Hostels, Ahmadu Bello University Zaria, Kaduna State Nigeria

Mosquitoes are considered as the most important insect vectors of many infectious disease agents, whose presence pose a serious public health concern within localities where they are found especially in tertiary institution. The study was conducted to identify mosquito species and Plasmodium falciparum in female Anopheles mosquito in students’ hostels of Ahmadu Bello University. Mosquitoes were caught once in a week for five months June to October (2018), by the used of test tube, chloroform and cotton wool. A total of 1341 mosquito vectors was identified, comprising four (4) species: Anopheles gambiae complex, Anopheles funestus, Culex quinquefasciatus and Aedes aegypti. The mosquitoes were dissected transversely between the first and third pairs of legs under the dissecting microscope The entire samples were air dried, fixed in methanol and were stained using Giemsa and thin blood film examined under the light microscope for identification of Plasmodium falciparum. The result in this study showed that Culex quinquefasciatus constitutes the most abundant with 950 (59%) followed by Anopheles gambiae 370, (22%), and An. funestus 15(0.9%) while Aedes aegypti 3(0.1%) had the least. Of the two species of anophelene mosquitoes encountered in this study only Anopheles gambiae was positive for Plasmodim falciparum. The result simply showed that efforts to control malaria especially in Zaria area should be a combination of existing methods which is usually referred to as integrated control.&#x0D; Keywords: Mosquito, Plasmodium falciparum, Anopheles, Hostels
Introducing Penetration Test with Case Study and Course Project in Cybersecurity Education

Teaching college students ethical hacking skills is considered a necessary component of a computer security curriculum and an effective method for teaching defensive techniques. However, there is a shortage of textbooks and technical papers that describe the teaching materials and implementation of penetration testing techniques for hands-on exercises. In our teaching practice, we have been using case studies and course projects as a means to help students learn the fundamental concepts of, primary techniques and commonly used tools for penetration testing. We think this is a beneficiary complement of a cybersecurity course that is taught in a defensive approach. Through these activities, students have gained hands-on experience and developed their ethical hacking skills. Feedback from them is positive and student learning outcomes are promising. In this paper, we describe the principles of developing and implementing case studies and course projects along with associated considerations for specified educational objectives when introducing penetration test. An example case study and course project that we have been using in our courses are described to introduce the major design ideas and activities to complete them. Experience, lessons and the feedback from students are discussed. Our results will provide a good point of reference for those educators who teach a cybersecurity course at a college or university and would like to offer an introduction to ethical hacking. This work can also be a reference for a college that wants to integrate
MEMBACA FOTO JENAZAH COVID-19 KARYA JOSHUA IRWANDI DENGAN PERSPEKTIF LITERASI VISUAL

Reading Photograph of the Covid-19 Body by Joshua Irwandi using Visual Literacy. The photo of Joshua Irwandi's Covid-19 body went viral when influencer Anji posted Joshua's photo and gave negative comments. Various negative comments, interpretations and justifications from netizens actually represent challenges in the development of visual literacy in Indonesia, more specifically there is no literacy in terms of "reading" a photo. T he purpose of this research is to find out how the method of reading a photographic with perspective of visual literacy. Researchers used Maria Avgerinou's visual literacy competency, namely understanding Visual vocabulary, Visual Convention, Visual Thinking, Visualization, Visual Reasoning, Critical Viewing, Visual Discrimination, V isual Reconstruction, Visual Association, Reconstructing meaning and Constructing meaning. By using the concept of visual literacy from Maria Avgerinou, Joshua Irwandi photo’s brings out the meaning that Covid-19 changes the cultural and social roots of the Indonesian people, especially the dialectic between death and the meaning of life at the same time. ABSTRAK Foto jenazah Covid-19 karya Joshua Irwandi menjadi viral saat influencer Anji memposting foto Joshua dan memberi komentar bernada negatif. Beragam komentar, tafsir dan justifikasi yang negatif dari netizen sebenarnya adalah representasi tantangan dalam pengembangan literasi visual di Indonesia, lebih spesifik terdapat nirliterasi dalam hal “membaca” sebuah foto. Maka tujuan penelitian ini adalah untuk mengetahui bagaimana metode baca sebuah karya fotografi dalam perspektif literasi visual. Peneliti menggunakan kompetensi literasi visual Maria Avgerinou, yaitu pemahaman kosakata visual (Visual vocabulary) , memahami kesepakatan visual dari simbol yang ada (Visual Convention) , kemampuan berpikir secara visual saat produksi dan saat membaca imaji (Visual Thinking) , kemampuan menyajikan sebuah visual (Visualization) , alasan visual pada saat produksi visual (Visual Reasoning) , pembacaan visual dengan perspektif kritis (Critical Viewing) , kemampuan membedakan stimulus visual (Visual Discrimination) , kemampuan melakukan konstruksi ulang atas sajian visual yang ada (Visual Reconstruction) , pemahaman makna asosiatif yang ada dalam semua objek (Visual Association) , kemampuan merekonstruksi makna saat produksi visual (Reconstructing meaning) dan kemampuan membaca bangunan makna dari sajian visual atau disebut Constructing meaning . Dengan menggunakan konsep literasi visual dari Maria Avgerinou, foto karya Joshua Irwandi ini memunculkan makna bahwasanya Covid-19 mengubah akar kultural dan sosial masyakarat Indonesia, khususnya dialektika antara kematian dan makna kehidupan sekaligus.
Entity Matching of Shop Accounts in Online Commerce Portals

Currently, online marketplace data are valuable data sources to be analyzed forvarious purposes. In the data collecting phases, duplication of shop accounts was found, resulting in biased analysis. This study examines the development of a mechanism to identify duplicate entities, i.e. store accounts, between different online marketplaces, or commonly known as entity matching. Word similarity algorithms were adopted as the core elements of our approach. Additionally, we present an entity matching model by examining logisticregression, naive Bayes, and random forest to find the best model for classifying store account similarities. Top online marketplaces in Indonesia are the object of our study, limited to one developing municipality, i.e. Sleman, DI Yogyakarta. The results show the best model has an accuracy value of 0.961, precision of 0.963, a recall of 0.958, and an F1-score of 0.962. Therefore, these results are acceptable for duplicate identification.
The Effect of Human Resource Management Practices on Improving Performance and Innovative Behavior of State Civil Apparatus

This study aims to examine the effect of human resource management practices (high commitment HR practices) on the performanc e and innovative behavior of the State Civil Apparatus (ASN) both directly and through mediating variables of affective commitment and public service motivation in the context of bureaucracy simplification and changing the ASN work system due to the Covid-19 pandemic at the National Agency of Drug and Food Control (BPOM).By analyzing questionnaire data from 219 ASN BPOM respondents through a structural equation model (SEM) using the full version LISREL 8.51 application, this study found a direct and positive effect of high commitment HR practices on employee performance, affective commitment, and public service motivation.This study also found a positive relationship of public service motivation on employees' affective commitment, performance, and innovative behavior.However, the results of this study did not find the relationship between high commitment HR practices and employees' innovativeness behavior and the relationship between affective commitment and employees' performance and innovative behavior.This study concluded that high commitment HR practices were associated with increased employee performance but did not affect increased innovativeness behavior.Public service motivation mediated a positive relationship between high commitment HR practices and employee performance and innovativeness behavior, while affective commitment did not mediate this relationship.
The Problem of Syllabification in Consonant Cluster for English Department Students

The focus of this study is an attempt to identify the students of English department problem in syllabifying English consonant cluster. Syllable is the smallest unit beyond single consonants and vowels. Syllabification refers to the division of a word into syllables. Meanwhile, consonant clusters are the combinations of consonant found at the beginning or end of words and syllables. In this research, the researcher used quantitative approach which the design is the descriptive design. The process of collecting data was done by applying the essay test. The test was conducted to 11 respondents from the English department students of IAIN Langsa. According to the result of the essay test, the researcher found that there were three aspects of the students of English department problem in syllabifying English consonant cluster, these were syllabification, consonant cluster and syllable components. There were 45,45 % of students who got mistakes in aspect syllabification and syllable components and 54,55 % of students who got mistakes in aspect syllabification, consonant cluster and syllable components. According to the result of the research, the researcher suggested to the English department students of IAIN langsa have to improve their learning strategy in order to help them in comprehending the syllabification and the syllable structure. In addition, the English department students should enrich their comprehension about syllabification, consonant cluster, syllable components and recognize each of them in the word.
Information System Development of Master’s and Doctoral Study Task Recommendation Using Fuzzy AHP

In improving quality of employees through education, Statistics Indonesia is assisted by Education and Training Centre, one of them through the Study Task program at Master's and Doctoral degrees. Due to the decrease of registrant as candidate participants of this program and to facilitate employees proposed, information system for providing recommendations Study Task program is needed. This research aims to provide recommendations to employees who are highly, moderately or not recommended being able to continue education with Study Task program using an information system. Decision-making in system is Fuzzy Analytic Hierarchy Process (Fuzzy AHP) method with assessment criteria, sub-criteria and their weights can be changed by certain actors. The system was built using the Framework for the Application of Systems Thinking (FAST) method. The system was evaluated by Black Box Testing with the results of all functions running well and System Usability Scale with results of 80.71 which means the system can be received by users. Finally, this system is expected to assist the selection of employees and provide opportunities for employees who are able to continue their education with Study Task program efficiently and reduce the subjectivity of the assessment.
Hubungan Antara Pengelolaan Perpustakaan dengan Motivasi Belajar Siswa Kelas V Sekolah Dasar

The problem in this research is the ineffectiveness of library management so that students are less motivated in learning. This study is a quantitative study with a correlation design that aims to determine whether there is a relationship between library management and learning motivation of fifth grade students at SD Inpres 12/79 Lonrae. The results showed that there was a significant relationship between library management and learning motivation of fifth grade students at SD Inpres 12/79 Lonrae with t count (4.1136) greater (&gt;) t table value (1.66660) which means H0 is rejected and H1 is accepted. Based on the analysis of the data above, it can be concluded that library management will have an impact on the mindset of students in learning so that it will affect their learning motivation in the classroom. So, the better the management of the library, it will increase student learning motivation. From these conclusions, the impact of this research is known that good library management will increase students' learning motivation
Liver Segmentation in CT Images Using Residual U-Net and 3D CRF

In recent years, the development of CAD systems aimed at reducing the burden on doctors and improving diagnostic accuracy has been promoted.In this paper, we propose a segmentation method for the liver site on abdominal CT images as a pretreatment for a CAD system using dynamic CT images.The method consists of two stages.First, we segment the liver with a model based on U-net, a segmentation model using CNN.Next, the 3D CRF (Conditional Random Field) is used to make corrections that take into account the three-dimensional characteristics of the liver to improve the accuracy of segmentation.In the experiment, the accuracy was evaluated for CT images of 20 cases.
The Linguistic Practices in Social Media in the Algerian Context: between Human Relations Reinforcement and Hate Speech Proliferation

The current study is an attempt to address some of the issues surrounding social media use with more emphasis on their role in reinforcing human relationships and spreading hatred speech. For the sake of presenting a comprehensive overview of the issue, a blend of quantitative and qualitative methodologies was implemented in the present study to analyse presence and incidence of hate speech and friendly relationship discourse in social media. To embark on such endeavour, a mixed- method, encompassing both a questionnaire and corpus analysis, is adopted. The targeted sample of the questionnaire’s addressees consists of social media users (n=100) from different categories of people. The second tool comprises a set of messages, comments and posts that are collected from different social media, especially Facebook. The findings revealed that hate speech, based on ethnicity, race, tribe, skin color, religion and physical appearance, is becoming prevalent among social media users, surpassing the spread of human relationships.
Embeddings Methods for Next-Item and Last-Basket Session-Based Recommendations

In this paper we use two industry datasets and apply two embedding methods and their combination for developing and testing session-based recommenders.The first dataset corresponds to an e-commerce scenario demanding effective next-item recommendation.The second dataset represents a last-basket prediction setting.Experimental results show that in the next-item task, the content-based approach utilizing textual descriptors of the items extracted by Doc2Vec and collaborative item embedding approach Item2Vec, which is trained upon item sequences, have comparable performance.When combined, they produce the best next-item predictor.In the last-basket recommendation scenario, Item2Vec significantly outperforms the Doc2Vec embedding method.Finally, we report on experiments with reranking methods that demonstrate the effectiveness of simple and practical methods, using item categories, to improve the recommendations.