Reviewerly/exHarmony huggingface dataset:
The dependence of the effectiveness of neural networks for recognizing human voice on language

Authors:
raw_author_name: Ainur Akhmediyarova
raw_affiliation_string: Satbayev University, Kazakhstan
raw_author_name: Ainur Zhetpisbayeva
raw_affiliation_string: S. Seifullin Kazakh Agro Technical Research University, Kazakhstan
raw_author_name: Timur Namazbayev
raw_affiliation_string: Al-Farabi Kazakh National University, Kazakhstan

Abstract: This study examines the effectiveness of neural network architectures (multilayer perceptron MLP, convolutional neural network CNN, recurrent neural network RNN) for human voice recognition, with an emphasis on the Kazakh language. Problems related to language, the difference between speakers, and the influence of network architecture on recognition accuracy are considered. The methodology includes extensive training and testing, studying the accuracy of recognition in different languages, and different sets of data on speakers. Using a comparative analysis, this study evaluates the performance of three architectures trained exclusively in the Kazakh language. The testing included statements in Kazakhs and other languages, while the number of speakers varied to assess its impact on recognition accuracy. During the study, the results showed that CNN neural networks are more effective in recognizing human voice than RNN and MLP. Also, it was found that the CNN has a higher accuracy in recognizing the human voice in the Kazakh language, both for a small and for a large number of announcers. For example, for 20 speakers, the recognition error in Russian was 21.86 %, whereas in Kazakhs it was 10.6 %. A similar trend was observed for 80 speakers: 16.2 % Russians and 8.3 % Kazakhs. It can also be argued that learning one language does not guarantee high recognition accuracy in other languages. Therefore, the accuracy of human voice recognition by neural networks depends significantly on the language in which training is conducted. In addition, this study highlights the importance of different sets of speaker data to achieve optimal results. This knowledge is crucial for advancing the development of reliable human voice recognition systems that can accurately identify different human voices in different language contexts
Indonesian Twitter Users’ Language Attitude Towards English-Indonesian Code-mixing

Authors:
raw_author_name: Muhammad Rizky
raw_affiliation_string: Universitas Riau
raw_author_name: Indah Tri Purwanti
raw_affiliation_string: Universitas Riau
raw_author_name: Rumiri Aruan
raw_affiliation_string: Universitas Riau

Abstract: Social media users need language as a tool to communicate, both in verbal and written form. Over time, the language used in social media also shows some significant growth. Talking about language in social media, there is an interesting phenomenon recently on social media that can be reached within the internet, namely the code-mixing of Indonesian and English (which in Indonesian are also popularly known as Jaksel language, Keminggris, Kemlondo, Indoglish, Englonesian, or Bahasa Gado-gado). This study is aimed to find out the attitudes of 500 Indonesian Twitter users towards English-Indonesian code-mixing with a questionnaire. This study uses a descriptive-quantitative approach. For the result of each aspect, it shows a quite positive indication: Cognitive aspect 2.92, Affective aspect 2.75, and Conative 2.79. If the three aspects being summed up, also indicated a quite positive attitude towards the code-mixing with point or score 2.82. The attitudes come from many reasons and factors, such as the need for understandability in communication, language prestige, prepossessing or attracting attention, confidence, and language aptitude.
A SMARTPHONE IN A STUDENT’S HANDS: PROS AND CONS

Authors:
raw_author_name: Svetlana O. Pustovit
raw_affiliation_string: Tsiolkovsky Kaluga State University

Abstract: This publication presents the results obtained as part of the search (preparatory) stage of an experiment on the problem of using mobile phones in the educational process. At this stage, the authors summarised the domestic and foreign experience and carried out an individual analysis of their own pedagogical work, including: an interview with the 1st–4th-year university students (“04.03.01 Chemistry” field of study); identification of possible ways for students to use phones for educational purposes; trial inclusion of tasks requiring the use of a smartphone when mastering certain academic disciplines. According to the research, positive and negative aspects of the use of a mobile phone in the educational process were identified, and a number of contradictions related to the ambiguity of understanding the problem under study were revealed
The Influence of STAD Method Towards Students Writing Ability in Recount Text

Authors:
raw_author_name: Eva Nurchurifiani
raw_author_name: Lusi Purnama Sari
raw_author_name: Tommy Hastomo

Abstract: The purpose of this research is to determine the influence of learning using the STAD method on students' writing ability. The researchers used quantitative and experimental research methodology. The researchers used two classes as samples, which consisted of an experimental and a control class. Students in the experimental class were provided with instruction with the STAD method, and students in the control class comprised instructed using conventional methods. In collecting data, the researchers used written tests.
The Effect of Health Education With Educational Video on Knowledge and Attitude of Community About Basic Life Support

Authors:
raw_author_name: Sriyono Sriyono
raw_affiliation_string: Faculty of Nursing, Universitas Airlangga, Surabaya, Indonesia

Abstract: Introduction: Quick and appropriate help when met an unconscious person is important to providing Basic Life Support (BLS). Knowledge and Attitude about BLS are very important in order to provide quick assistance of cardiac arrest. The purpose of this study was to analyze the effect of providing health education with video on people's knowledge and Attitude about BLS. Methods: The study used a quasy-experimental design by intervening in a group and then observed. This research was conducted on the community who became Kader in Perak, Surabaya. Total sample of 64 respondents obtained through total sampling technique. The independent variable is video-based health education. Dependent variable is knowledge and attitude about BLS. Data were collected using a questionnaire and analyzed by the Wilcoxon sign test and Mann whitney u test with a significance of p &lt; 0.05. Results: The results showed an increase in knowledge and Attitude in the intervention group after being given educational videos with (p = 0.001) and Attitude with (p = 0.006). The results of the test with Mann Whitney showed that there was an average difference between the intervention group and the control group with significant results in knowledge (p=0.000), attitude (p=0.000). Conclusion: To improve people's knowledge about basic life support can be obtained from electronic media regarding knowledge about basic life support. It is hoped that it can provide knowledge of basic life support and can apply or assist in life-threatening emergencies in the home environment. It is hoped that the results of this research can be used as a reference for further research by adding other variables and before the research, researchers are expected to prepare research instruments according to the standards of the instruments that will be used, such as: phantom CPR according to standards.
Pengembangan E-Book Interaktif Berbasis Kearifan Lokal untuk Pembelajaran Keterampilan Membaca Teks Berita SMPN 34 Padang

Authors:
raw_author_name: Amril Amir
raw_affiliation_string: Universitas Negeri Padang

Abstract: The background to this research is that technological developments are increasingly rapid in human life in various fields, one of which is education. This type of research uses Research and Development (R&amp;D). The development model used in this research is a 4-D model consisting of four stages, namely: 1) define, 2) design, 3) develop, and 4) disseminate. This research used a questionnaire instrument data collection technique which was distributed to class VIII students of SMP Negeri 34 Padang. Based on the results of the student needs questionnaire analysis, the results showed that 83% of students needed digital learning media. There are 3 aspects in the research questionnaire, namely student needs in the learning process aspect which obtained a percentage of 84%, student needs in the learning media aspect 84%, and student needs in the teaching material content aspect 80%. The average percentage result for all aspects is 83%, so it falls into the "very feasible" category. From the results of the analysis of the student needs questionnaire, it was concluded that researchers needed to develop learning media in the form of interactive e-books based on local wisdom.
improvement of signal communication for a foraging task using evolutionary robotics

Authors:
raw_author_name: F. Montes-González
raw_affiliation_string: Artificial Intelligence Research Institute. University of Veracruz, South Campus, Zip Code 91097, Xalapa, Mexico
raw_author_name: S. Nolfi
raw_affiliation_string: Institute of Cognitive Sciences and Technologies. Consiglio Nazionale delle Ricerche, San Martino della Bataglia st, 44, ZipCode 00185, Rome, Italy

Abstract: Communication systems represent an evolutionary advantage for a group of robots solving coordinated tasks. In the field of evolutionary robotics, the emergence and establishment of communication are regulated by different variables. These systems are a tool produced by artificial evolution for the exchange of personal and environmental information. Since evolutionary processes involve multi-objective evolutionary methods, it is important to study all the mechanisms that affect the emergence and establishment of communication systems. One of these variables is the evolutionary advantage of emerging signals. In this article it is assumed that the signals appear because they are evolutionarily useful in solving a task. Emitter and receiver generate a process of conceptualization, which makes the signals associated with a meaning for the community. In this way an experiment is adapted to the FARSA simulator and the MARXBOT robot. This experiment consists of a group of robots that spend as much time as possible in a food zone and avoid a poisoned zone. Under normal conditions, robots tend to point to the food zone to attract the rest of the population. When the evolutionary importance of pointing out the food zone is reduced, the signals arise in different situations such as the presence of nearby objects and the poisoned zone. Communication is configured with the LED rings and linear cameras of the robots. In addition, an ethological method is adapted to quantify the behavioral effects of experimental manipulation.
Give Your Project a Name

Authors:
raw_author_name: Kate Matsudaira
raw_affiliation_string: SoFi

Abstract: While some people are driven by infinite backlogs and iteration, others prefer launches and deadlines. Over the years, I have found certain milestones to be instrumental in creating a cohesive team with strong morale. When people have to work together to get through a challenging task, reaching those milestones bring them together.
Sistem Smart Garden Tanaman Bayam Menggunakan Metode Fuzzy Logic

Authors:
raw_author_name: Nadia Alfitri
raw_affiliation_string: Politeknik Negeri Padang
raw_author_name: Efrizon Efrizon
raw_affiliation_string: Politeknik Negeri Padang
raw_author_name: Anton Hidayat
raw_affiliation_string: Politeknik Negeri Padang

Abstract: Treatment of Spinach, even though it has been given fertilizer, also keep on eye to monitor lots of water when watering. If the soil is too wet it will interfere with the absorption of nutrients needed for spinach growth. The use of technology makes it easy to monitor and control the condition of spinach plants in real time. Good soil moisture for spinach plants is in the range of 45% equivalent to a voltage value of 2.78 Volts to 60% which is equivalent to a voltage value of 2.03V. Meanwhile, soil that is suitable for growing spinach is soil that has a pH between 6-7. Mamdani fuzzy logic method is applied to a microcontroller as a reference in making decisions to regulate the speed of the water pump. There are five levels of pump speed for automatic watering of spinach from very fast to very slow to maintain stable soil moisture. Based on the test results, it is proven that the system can work correctly using Mamdani fuzzy with an error of 0.023%.
EVALUATION OF THE QUALITY OF IMPLEMENTATION OF STUDENT-CENTERED EDUCATION TECHNOLOGIES IN A HIGHER EDUCATIONAL INSTITUTION

Authors:
raw_author_name: Andrey E. Bakhmutsky
raw_affiliation_string: Herzen State Pedagogical University of Russia
raw_author_name: G. B. Zhukenova
raw_affiliation_string: L. N. Gumilyov Eurasian National University

Abstract: The article considers the concept of student-centered education as an educational concept. The set of components characterising the concept of student-centered education is specified. The way of formation and development of the concept of student-centered education is described. The authors consider the influence of student-centered education on the transformation in the relations between the subjects of the educational process, within which students acquire enhanced opportunities in managing the individual educational process, while the teacher’s role acquires the nature of tutorship. The article also presents the results of the student survey “The Assessment of Student Satisfaction with the Quality of Implementation of Student-Centered Education Technologies at University” and makes corresponding conclusions.
Estimasi Arah Robot Pembersih Panel surya Menggunakan Algoritma Line Detection Klasik

Authors:
raw_author_name: Sapto Wibowo
raw_author_name: Indrazno Siradjuddin
raw_author_name: Ratna Ika Putri

Abstract: Currently, solar panels are widely used in homes, offices, and buildings. Solar energy is converted into electrical energy by solar panels. The surface of solar panels determines how efficient they are; if the surface is dirty, the efficiency of solar panels will decrease. Therefore, they must be cleaned to maintain their effectiveness. Cleaning solar panels is one of the tasks that can be performed by an autonomous robot, which can move without the need for human control or remote control usage. To make the robot move autonomously, a camera is used to capture images of solar panels so that the robot can move on its own. The images captured by the camera will then be processed using a classic line detection algorithm (Hough line transform) to estimate the direction, in the form of the angle (theta), of the robot relative to the solar panel based on the lines detected by the algorithm. The direction of the robot relative to the solar panel determines the robot's future movement. The algorithm used (Hough line transform) has been able to estimate the direction of the robot quite well with a relatively fast processing time. Thus, it can be concluded that this research successfully determines the direction based on the available images
Optimization of use case point through the use of metaheuristic algorithm in estimating software effort

Authors:
raw_author_name: Ardiansyah Ardiansyah
raw_affiliation_string: Informatics Department, Universitas Ahmad Dahlan
raw_author_name: Mulki Indana Zulfa
raw_affiliation_string: Department of Electrical Engineering, Jenderal Soedirman University
raw_author_name: Ali Tarmuji
raw_affiliation_string: Informatics Department, Universitas Ahmad Dahlan
raw_author_name: Farisna Hamid Jabbar
raw_affiliation_string: Informatics Department, Universitas Ahmad Dahlan

Abstract: Use Case Points estimation framework relies on the complexity weight parameters to estimate software development projects. However, due to the discontinue parameters, it lead to abrupt weight classification and results in inaccurate estimation. Several research studies have addressed these weaknesses by employing various approaches, including fuzzy logic, regression analysis, and optimization techniques. Nevertheless, the utilization of optimization techniques to determine use case weight parameter values has yet to be extensively explored, with the potential to enhance accuracy further. Motivated by this, the current research delves into various metaheuristic search-based algorithms, such as genetic algorithms, Firefly algorithms, Reptile search algorithms, Particle swarm optimization, and Grey Wolf optimizers. The experimental investigation was carried out using a Silhavy UCP estimation dataset, which contains 71 project data from three software houses and is publicly available. Furthermore, we compared the performance between models based on metaheuristic algorithms. The findings indicate that the performance of the Firefly algorithm outperforms the others based on five accuracy metrics: mean absolute error, mean balance relative error, mean inverted relative error, standardized accuracy, and effect size.
Digital Literacy: Fundamental Competence for Modern Society

Authors:
raw_author_name: Mujiono Mujiono
raw_affiliation_string: Universitas Terbuka

Abstract: This research highlights the significance of digital literacy in our increasingly interconnected modern society through information technology. It addresses the primary challenges faced by modern society in managing information in the digital era, including the spread of fake news and data privacy breaches. The research aims to elucidate the contribution of digital literacy in addressing these challenges faced by modern society and identify its positive impacts in safeguarding data security, combating misinformation, and enabling active participation in the digital community. The research methodology employed a systematic literature review (SLR) to gather, evaluate, and synthesize literature related to modern society and digital literacy. The findings of the research reveal that digital literacy plays a pivotal role in assisting individuals in comprehending, filtering, and assessing information encountered online while safeguarding their privacy in the digital environment. In conclusion, digital literacy is not just a technical skill but also the key to responsibly and wisely harnessing digital opportunities.
Appropriate TPACK Components for Overcoming Misconceptions on Force Concept Inventory Test

Authors:
raw_author_name: A Halim
raw_affiliation_string: Department of Physics Education, Training Teacher and Education Faculty, Universitas Syiah Kuala, Aceh Indonesia 23111
raw_author_name: Hafnati Rahmatan
raw_affiliation_string: Syiah Kuala University
raw_author_name: Muhammad Syukri
raw_affiliation_string: Syiah Kuala University
raw_author_name: Agus Wahyuni
raw_affiliation_string: Syiah Kuala University
raw_author_name: Yusrizal Yusrizal
raw_affiliation_string: Syiah Kuala University

Abstract: Misconception is one of the obstacles in the achievement of physics learning and must be immediately corrected so that there is no retention of misconceptions in subsequent knowledge. One way to prevent and reduce misconceptions that occur is with the teachers skill of Technological Pedagogical and Content Knowledge (TPACK). Teachers who integrate TPACK in learning can prevent misconceptions and find solutions to overcome the misconceptions. This study aims to determine the TPACK skill of teachers in overcoming misconceptions and the appropriate TPACK components to reduce misconceptions based on concepts on the three tier test of FCI (Force Concept Inventory). The research method used is mixed method with concurrent embedded design. The main data in this study is TPACK which is qualitative data and supporting data is students misconception which is quantitative data. The results showed a decrease in misconceptions after being given an understanding of the concept using the teacher's TPACK skill. The components used during the teacher's reduction of misconceptions based on the concepts in the FCI three tier test of FCI are TPACK and PCK components. So it can be concluded that the teacher's TPACK skill can reduce the misconceptions that occur in the three tier test of FCI
Good Communication Supports Pre-School Children's Ability and Its Application to Personal Hygiene Hand Washing in Kindergarten

Authors:
raw_author_name: Lisna Agustina
raw_affiliation_string: School of Nursing, Universitas Medistra Indonesia

Abstract: Infectious diseases in pre-school children are prone to occur because their growth and development age is in the pre-adolescent age range or pre-school age where this age requires more space for wider movement such as schools, large fields. Hand washing is one of the knowledge that needs to be applied correctly by school-age children to maintain hand hygiene. This knowledge apart from home needs to be emphasised from the teacher at the child's school. Children's dominant activities at school make school one of the places expected to provide knowledge about proper hand hygiene. This research is a quantitative study with an analytical descriptive approach and design and method used is aquasi experiment with a pre and post without control group design approach. This study is to measure the effect of good communication on the ability of pre-school children to wash their hands. Data was collected by video recording children while washing their hands before and after the communication intervention. Bivariate data analysis using non-parametric test with Wilcoxon test because the data distribution is not normal. The results showed 40 respondents z count value of -4.465 with a p-value of (0.000) &lt; α (0.05, this indicates that there is a significant influence between the ability of children to wash their hands before the pretest before the treatment of good communication about hand washing on the posttest after the application of good communication treatment about hand washing. It can be concluded that there is an effect of good communication on the ability of pre-school children to wash their hands.
A Proposed Framework of Vulnerability Assessment and Penetration Testing (VAPT) in Cloud Computing Environments from Penetration Tester Perspective

Authors:
raw_author_name: None Nuur Ezaini Akmar Ismail
raw_author_name: None Noraida Haji Ali
raw_author_name: None Masita Abdul Jalil
raw_author_name: None Farizah Yunus
raw_author_name: None Ahmad Dahari Jarno

Abstract: Penetration testing is a process that focuses on finding security vulnerabilities in a target environment that could let an attacker penetrate the network or computer system or steal information. Due to the COVID-19 endemic, most employees still implement working from home or a hybrid approach, even though the number of new cases of COVID-19 is decreasing. However, working from home depends mainly on cloud computing applications that help employees efficiently accomplish their daily work. This situation also increased the number of data generated from various sources, so they may be exposed to different security risks. This research will propose a framework to conduct vulnerability assessment and penetration testing (VAPT) in cloud service models such as SaaS, PaaS, and IaaS from the perspective of penetration testers. This proposed framework is developed through the integration and mapping of existing frameworks and guidelines to conduct VAPT on testing components such as web applications, APIs, network testing, etc. In this proposed framework, the method of conducting VAPT for each cloud service model will be discussed in detail, from the planning and reconnaissance stage until the report is delivered to the cloud subscriber or cloud provider. An advantage of this proposed framework for the penetration tester is that there is still a lack of methods or guidelines for conducting VAPT that cover all the cloud service models in one comprehensive document