Reviewerly/exHarmony huggingface dataset:
Prediction of Student Study Period Based on Admission Pathways Using Support Vector Machine Algorithm

In Indonesia, the quality of a university is measured based on the accreditation by BAN-PT (National Accreditation Board for Higher Education). BAN-PT possesses several main standards in measuring the quality of a university, one of which is students and graduates. The accuracy of the student study period is a crucial issue because it is the basis for the effectiveness of a university. Prediction is a process of systematically estimating something most likely to happen in the future based on past and present information to minimize the error (difference between something that happens and the forecast results). One technique used to make predictions is data mining. Universitas Muhammadiyah Yogyakarta (UMY), as one of the best private universities in Indonesia, must maintain the quality of its students. Student admission at UMY is an internal selection carried out through several methods: student achievement and academic ability tests. The Support Vector Machine (SVM) method is part of the prediction method. Analysis of the SVM prediction utilized the historical data from alumni of the Faculty of Law of UMY in the graduation year of 2015-2019. The application of SVM has provided better accuracy, precision, and recall results. The best kernel accuracy level was the SVM RBF kernel with an optimum C value of 10 and a gamma value of 0.4 with an accuracy of 96.00%.
Competency construct model for critical reading in non-literary texts based on the framework of the Indonesian National Qualification (KKNI)

The ability to read is a language skill that is very important in supporting general academic abilities. Based on research, most study programs at higher education institutions do not include critical reading as a subject. For this reason, this study aims to produce a construct model of critical reading competencies in non-literary texts which is used as a guideline for evaluating learning outcomes (LO) in critical reading classes. The ptesent study is developmental research with the stages of preliminary study activities, literature studies, field analysis, and competency product development. The data source for the study is analysis of data needs to build critical reading competences. Results of the study show that there are five steps of activities carried out in critical reading, namely: 1) surveying the text, 2) understanding the contents of the text, 3) analyzing the text, 4) criticizing the text, and 5) evaluating and publishing. Step (1) determines the type of text to be criticized, identifing the identity and background of the author. Step (2) determines the theme of the text, shows the characteristics of the text, and states the main ideas of each paragraph. Step (3) identifies the structure of the text, states facts and opinions, determines the pattern of paragraph development, identifies relationships between main ideas and explanations, restates implied meanings, and understands the relevances of the relationships among text structures. Step (4) shows the discrepancy between the theme and the content, the description in each part of the text, the ideas in the paragraphs, the details of facts, and the author's arguments. Step (5) assesses the accuracy and suitability of the facts. The final stage is publication of results showing strengths and weaknesses of the text.Keywords: construct model, critical reading, non-literary text
STUDENTS' COGNITIVE BEHAVIOR (CASE STUDY IN LEARNING MANAGEMENT)

This case study aims as a basis or reference for solving students' cognitive-behavioral problems, can have more data to be carried out in the next stage of management, analyze students' cognitive-behavioral problems and align each related element.&#x0D; The case study method used is a qualitative method, with a phenomenon and psychology approach because it involves the cognitive behavior of students in learning management. The method of data collection was done by interview and observation. This case study was carried out by taking 2 students as samples, as well as several teachers at SMP Negeri 3 Limboto. In the data analysis technique, the writer divides the problem identification, analysis, synthesis, diagnosis, prognosis, treatment and follow -up continued.&#x0D; The results of the case study, from the identification of problems these students experienced cognitive-behavioral problems in the form of learning difficulties in learning management. Analysis, students' cognitive problems, namely the difficulty of understanding mathematics, science, and English, lack of willingness to learn, language difficulties, having a shy character, sibling conflict, and verbal bullying experienced students. In synthesis, students lack the motivation to learn, feel lazy to learn, and have a sense of hatred towards a particular subject and conflict. Diagnosis, Internal factors within students and external to their environment. Prognosis, if the problem is not immediately addressed, then what can happen is that no knowledge is transferred and learning achievement will decrease. Treatment, homeroom teachers, and teachers must always cooperate, provide advice to students, and teach slowly until they find comfort in learning. As a follow-up, students can be included in competitions, for example in Sports and the Arts, which are their favorite subjects. Inform parents about problems and treatments that must be carried out as well as those carried out at school.
Implementation of Multiclass Support Vector Machine for Classification of New Students Receiving Achievement Scholarships at Universitas Muhammadiyah Yogyakarta

The selection process for scholarship grantees at Universitas Muhammadiyah Yogyakarta (UMY) still utilizes the conventional method, namely Microsoft Excel. It is conducted by inputting all student data, then sorted from the highest to the lowest. Scholarships for prospective new students must be right on the target, meaning that they meet the criteria for students eligible for scholarships. It is intended not to harm other prospective students who should get scholarships. In previous studies, the classification process used many algorithms such as Naive Bayes, C.45, Decision Tree, k-Nearest Neighbor, and Support Vector Machine. The use of the Support Vector Machine algorithm employed a two-class classification. Support Vector Machine and Decision Tree algorithms are two classification methods that can obtain precise and accurate results. This study aims to use the Multiclass Support Vector Machine (LibSVM) algorithm to classify the achievement scholarship rankings for new students. The minimum amount of data used affected the classification results. From the 2015 to 2019 data, the highest amount of data was 2015, obtaining the highest accuracy result of 84.34% using the sigmoid kernel type and the k-fold value of 3. The classification was based on the entry system stages. PMDK stage 2 obtained an accuracy of 81.38%, with the most data amounting to 268 from stage 3.
Theory and practice in secure software development lifecycle: A comprehensive survey

Software development security refers to the practice of integrating security measures and considerations throughout the software development lifecycle to ensure the confidentiality, integrity, and availability of software systems. It involves identifying, mitigating, and eliminating security vulnerabilities and threats that could be exploited by attackers. The goal of this paper is to survey the various concepts and methodologies directed towards software security, and the identification of any missing gaps. Based on the findings, it is noted that the development of secure software requires a proactive and comprehensive approach. It begins with establishing secure design principles and incorporating security requirements from the initial stages of development. Here, secure coding practices, such as input validation, output encoding, and secure authentication and authorization mechanisms, are employed to prevent common security vulnerabilities. In addition, regular security testing, including penetration testing and vulnerability scanning, helps identify and address potential weaknesses in the software. Normally, code reviews and security audits are conducted to ensure adherence to secure coding practices and identify any security flaws. It is important that security training and awareness programs be provided to developers and other stakeholders to foster a security-conscious culture. To minimize potential vulnerabilities, secure configuration management, which involves properly configuring servers, networks, and dependencies may be utilized. On the other hand, regular updates and patching are essential to address known security vulnerabilities in software components. To guide their software development security practices, organizations may follow established security standards and frameworks such as ISO 27001 or NIST Cybersecurity Framework. By prioritizing software development security, organizations can protect sensitive data, prevent unauthorized access, and mitigate the risk of security breaches and incidents. In the long run, this helps build trust with users and stakeholders, enhances the reputation of the software, and reduces the potential impact of security incidents on the organization.
“Foggy sounds like nothing” — enriching the experience of voice assistants with sonic overlays

Abstract Although Voice Assistants are ubiquitously available for some years now, the interaction is still monotonous and utilitarian. Sound design offers conceptual and methodological research to design auditive interfaces. Our work aims to complement and supplement voice interaction with sonic overlays to enrich the user experience. Therefore, we followed a user-centered design process to develop a sound library for weather forecasts based on empirical results from a user survey of associative mapping. After analyzing the data, we created audio clips for seven weather conditions and evaluated the perceived combination of sound and speech with 15 participants in an interview study. Our findings show that supplementing speech with soundscapes is a promising concept that communicates information and induces emotions with a positive affect for the user experience of Voice Assistants. Besides a novel design approach and a collection of sound overlays, we provide four design implications to support voice interaction designers.
Comparison of Poisson Regression and Conway Maxwell Poisson Models Using Simulation

Regression models are one of the most important models used in modern studies, especially research and health studies because of the important results they achieve. Two regression models were used: Poisson Regression Model and Conway-Max Well- Poisson), where this study aimed to make a comparison between the two models and choose the best one between them using the simulation method and at different sample sizes (n = 25,50,100) and with repetitions (r = 1000). The Matlab program was adopted.) to conduct a simulation experiment, where the results showed the superiority of the Poisson model through the mean square error criterion (MSE) and also through the Akaiki criterion (AIC) for the same distribution.&#x0D; Paper type: Research paper.&#x0D;
How did the media cover the 2021 conflict in the Vorukh exclave?

Vorukh exclave is a small piece of land in Tajikistan, surrounded by the territory of Kyrgyzstan. Over the past 10 years only, there have been more than 150 conflicts with victims from both sides. This article describes how Kyrgyz and Tajik media covered the conflict, which occurred in the Vorukh exclave from April 28 to May 1, 2021. For this purpose, the researchers analyzed the media reports from April 28 to May 1 of three Kyrgyz media, which are “Kaktus.media”, “Turmush”, “24.kg”, and three Tajik media, which are “Asia-Plus”, “Khovar”, and “Avesta”. The analysis of collected data demonstrated that the tendency for unilateral coverage of the conflict from both sides existed. Moreover, the Kyrgyz media agencies were more open and tried to cover the incident in detail, while some Tajik media agencies limited publications regarding the incidents. The results contribute to a better understanding of processes that needs to be considered to find solution for the annual conflicts on the Kyrgyz-Tajik border.
Hubungan Gaya Belajar dan Dukungan Orangtua dengan Minat Belajar pada Remaja di Gereja HKBP Distrik XXXI Medan Utara

The purpose of this study was to determine the relationship between learning style and parental support with interest in learning in adolescents. Using quantitative methods with a survey approach. A sample of 169 people from 312 populations with simple random sampling technique. Based on the results of the study, it is known that there is a positive and significant relationship between learning styles and interest in learning seen from the coefficient value (R2) = 0.039 with p = 0.010 &lt;0.050. Furthermore, there is a positive and significant relationship between parental support and interest in learning seen from the coefficient value (R2) = 0.087 with p = &lt;0.001 &lt;0.050, then it is known that there is a positive and significant relationship between learning styles and parental support with learning interest seen from the value of the coefficient (R2) = 0.100 with p = &lt;0.001 &lt;0.050.
Student Response in Receiving Distance Learning: Case Study at SMAN 1 Baureno

This study aims to determine the responses of students in receiving distance learning. This type of research is quantitative descriptive. This trial phase of research was conducted at Baureno 1 High School, tested to class X MIA 1, MIA 5, IPS 3 and IPS 4. The type of data obtained is interview and questionnaire data. Interviews were conducted with teachers of Physics, Language, and Sports and questionnaires were given to students. Based result on the analysis and discussion that has been done shows that 76.8% students of MIPA dan 73.6% students of IPS have a positive response to distance learning, but students do not agree on some other situations such as direct contact with the teacher is needed in learning. Supported in the questionnaire statement number 8 which only got a score of 75 for MIPA and 57 for IPS. This value indicates the smallest score compared to the values â€‹â€‹of other statements. Therefore, it can be concluded that to support distance learning more effectively requires the ability of teachers to use ICT so that innovative and interactive learning can be created, and this can be proven by the results of interviews. In addition, learning methods and teacher skills are needed to increase students' understanding of the material being studied.
Preparing the deployment of quantum key distribution over a classical network infrastructure in Prague

Quantum Key Distribution (QKD) is a promising tool for secure communication in the near future. In combination with one-time-pad technique, it provides an unconditionally secure communication channel (meaning that it is secure against an adversary, even with unlimited computational power), at least in principle. However, a major implementation challenge for some schemes is the reliable creation, transportation, and measurement of entangled photon pairs over long-distance fiber networks. Our project aims to explore the possibilities for distributing quantum information on an existing network infrastructure while measuring the effects of real-world conditions. We characterized a commercial source of entangled photons. We measured its spectrum, brightness (1.6±0.3)×10<sup>4</sup> pairs/s/<i>μ</i>W, and performed quantum state tomography (QST) to reconstruct the density matrix of the quantum state. Our implementation focuses on an all-fiber solution, which would enable a simplified QKD implementation. In laboratory conditions, we achieved the visibility equal to (0.957 ± 0.004) as a mean in both bases with a coincidence rate of (275 ± 4) counts/s and successfully ran QKD protocol with secret key rate of (86 ± 1) bits/s and average quantum bit error rate (QBER) of (4.8 ± 0.7) %.
XLUM: an open data format for exchange and long-term preservation of luminescence data

Abstract. The concept of open data has become the modern science meme, and major funding bodies and publishers support open data. On a daily basis, however, the open data mandate frequently encounters technical obstacles, such as a lack of a suitable data format for data sharing and long-term data preservation. Such issues are often community-specific and best addressed through community-tailored solutions. In Quaternary sciences, luminescence dating is widely used for constraining the timing of event-based processes (e.g. sediment transport). Every luminescence dating study produces a vast body of primary data that usually remains inaccessible and incompatible with future studies or adjacent scientific disciplines. To facilitate data exchange and long-term data preservation (in short, open data) in luminescence dating studies, we propose a new XML-based structured data format called XLUM. The format applies a hierarchical data storage concept consisting of a root node (node 0), a sample (node 1), a sequence (node 2), a record (node 3), and a curve (node 4). The curve level holds information on the technical component (e.g. photomultiplier, thermocouple). A finite number of curves represent a record (e.g. an optically stimulated luminescence curve). Records are part of a sequence measured for a particular sample. This design concept allows the user to retain information on a technical component level from the measurement process. The additional storage of related metadata fosters future data mining projects on large datasets. The XML-based format is less memory-efficient than binary formats; however, its focus is data exchange, preservation, and hence XLUM long-term format stability by design. XLUM is inherently stable to future updates and backwards-compatible. We support XLUM through a new R package xlum, facilitating the conversion of different formats into the new XLUM format. XLUM is licensed under the MIT licence and hence available for free to be used in open- and closed-source commercial and non-commercial software and research projects.
“Catch The Joker” As An Innovation of Anti Corruption Education: An Action Research by Using Swot Analysis

An innovative game named 'Catch The Joker' is the product of action research on anticorruption education which has filed its copyright under the code number: LY2022W06187.This game has its main character called Joker, a corruptor who can request for a card called Single Strike Energy from Officer, the game operator, to overrule this game.Joker is also able to eliminate any Villager by manipulating the game, but the Villager's vote can counter strike Joker and save them.Whilst this game verifies values of individual integrity in community, it can also assess individual's sensitivity to corruption as a crime, and develop awareness on the dangers of corruption upon individuals and community.The objective of this research is to identify strengths, weaknesses, opportunities and challenges of the 'Catch The Joker' game.Therefore, the research method used is qualitative research by using an action research design.Hence, research instruments include observations and interviews.This study begins with a pre-study stage by informing the involvement of researcher and participants, work planning and the preparation of the game's prototype.Then, research activities involve collecting, managing and analyzing information and data.In order to confirm data reliability, the study will go through a process of triangulation, expert evaluation, reviews and consent of participants in the study, peer review and audit trail.Findings show that 'Catch The Joker'Vol. 1 3 , No. 6,
ONLINE GAME ADDICTION BEHAVIOR: GENDER AND DURATION OF PLAYING ONLINE GAMES IN ADOLESCENTS

Adolescents advantage online games as an escape from the problems they have in the real life. The various types of online games make adolescents feel challenged so that thet spend a long time playing online games. This online game phenomenon that occurs in adolescents causes online game addiction behaviour. Men are much more likely to play online game so they tend to have higher rates of online game addiction behaviour than do women. This study aims to reveal the sex differences and duration of playing online game affect online game addiction behaviour. This study used a quantitative approach through purposive sampling with a total sample size of 336 adolescents. The research data were analyzed using Linear Regression Analysis. The result showed that sex differences and duration of playing game online affect to online game addiction behaviour.
How do Indonesian EFL students’ writing strategies and writing process differ from English L1 students?

This research aimed to investigate the writing strategies applied by English as a Foreign Language (EFL) students in Indonesia. It also investigated how the writing process undergone by Indonesian EFL students differs from students using English as their first language (L1). The writing strategies questionnaire from Petrić and Czárl (2003) was used to find out the strategies used by the EFL students. In addition, the adult writing process model of Hayes (2012), which was constructed based on the writing process of English as first language students, was used as the framework to investigate the writing process applied by Indonesian students. The participants were 135 English Education department students from two Indonesian universities. Participants’ answers to the questions in the questionnaire over the three stages of writing (pre-writing, drafting, and revising) were analysed using a 5-point Likert scale. The result revealed that the participants applied writing strategies at a moderate level. They only frequently used 15 of the 38 strategies provided in the questionnaire at high frequency. The 15 strategies used at high frequencies described the participants’ writing process which indicated some differences from that of the writing process undergone by the English L1 students. The findings aim to inform theories of second/foreign language writing performance, as well as support the design of teaching writing courses in English Education majors in Indonesia. The data may also be useful for educators in other countries teaching English as a second or foreign language.
Simplified and Improved LSB2 (SILSB2) Method of Secret Message Steganography

A simplified and improved method based on LSB2 (SILSB2) method of secret message steganography will be introduced. The method will simplify the message hiding and extracting functions by reducing the set of operations used to hide and extract the secret message. The proposed method will work on inserting and retrieving the secret message in one go instead of inserting or retrieving it byte by byte as used in the classical methods. The introduced method will add a security issues to LSB2 method by using a special private key. This key will be used to divide the secret message into blocks, and each block will be hidden/extracted alone. The private key will be used also to define the staring locations in the covering-stego images, where to start hiding or extracting the message block. The private key will provide a good key space to protect the message from being hacked, the extracted message will be very sensitive to the private key values, any changes in these values will lead to extract a corrupted damaged message, and these changes will be considered as a hacking attempt. The introduced method will be tested and implemented using various messages and various covering images, the obtained results will be analyzed to prove the quality, security, sensitivity and the efficiency provided by the proposed method.