bluuebunny/crossref_metadata_2025_split huggingface dataset:
Designing video based learning for nursing skills procedures video
Authors: Sutrisno D , Buhari B 
Published: March 2021

Abstract
Blended Learning is a learning that combines face-to-face and online learning. In nursing practice courses, learning media about basic skills action procedures in nursing that can be accessed online is needed. Thus, it is necessary to design an instructional media containing action instructions for basic skills in nursing. The purpose of this research was to make video-based learning media as a guide to nursing procedures and to find out the results of the video-based learning media test. There were eight (8) stages in designing instructional media, namely: (1) writing video scripts, (2) taking video images, (3) editing videos, (4) validating, (5) revising, (6) uploading videos, (7) presenting videos to students, and (8) evaluating. This research was expected to produce teaching materials in the form of instructional video to support the lecturing process. The result of this study showed that the videos are very worthy.
The effect of digital books based on kvisoft flipbook maker on student learning outcomes
Authors: Suyasa P W A , Divayana D G H , Kristiantari M R 
Published: March 2021

Abstract
This study aimed at determining the learning outcomes of students who use digital books based on the kvisoft flipbook maker compared to the students without using digital books based on kvisoft flipbooks. It is because students learning outcomes were low so we use digital books based on kvisoft flipbook maker. This type of research was a quasi-experimental design with Post-test-Only Control Group Design. The data collection method used was the description test method to measure student learning outcomes. The learning outcome data were then analyzed using one-way ANOVA with prerequisite tests, namely the normality test and the homogeneity test. The results showed that there were several differences in the learning outcomes of students who used kvisoft flipbook-based digital books and students without using kvisoft flipbook-based digital books. The results of the analysis showed with a significance of 0.000. If the significance level is set = 0.05, and the significance value is smaller than α so that F is significant. This means that H0 was rejected and H1 was accepted, which states that there are differences in learning outcomes between students who took lessons using Kvisoft Flipbook Maker based digital books compared to the students who took lessons without using Kvisoft Flipbook Maker based digital books. The mean of experiment group was 84.56 and mean of control group was 70.32.
Student-centered learning models and learning outcomes: meta-analysis and effect sizes on the students’ thesis
Authors: Agustini K , Wahyuni D S , Mertayasa I N E , Wedhanti N K , Sukrawarpala W 
Published: March 2021

Abstract
A meta-analysis of students’ thesis is very necessary to improve the quality of research in maintaining the consistency and scientific truth justification of the theory. This study aims to (i) obtain an effect-size estimation, which is the strength of the relationship between the variables studied in a quasi-experimental study; (ii) describe the effectiveness of student-centered learning models compared to teacher-centered learning on learning outcomes; (iii) describe the conditions that affect the effectiveness of the student-centered learning models in the final assignments of students of Informatics Engineering, Universitas Pendidikan Ganesha. In order to achieve this goal, 22 students’ final assignments were reviewed as research samples. The study focused on two things, namely, (a) calculating the effect size of each sample of the theses; (b) examining the theoretical and empirical justification used to discuss the acceptance of the hypothesis. Statistical analysis techniques were used to determine the value of the effect size. The results showed, the effect-size value for the entire sample was 1.109 in the high category. Then, the results of the study of the t value for all the thesis studied showed all t-count values were greater than t-table values at a significant level of 0.05. It means student-centered learning models are better than teacher-centered learning models on the learning outcome variables studied.
A feasibility study of sensor and transducer trainers as a learning media towards electronics engineering’s students
Authors: Purnamawati  , Akil M , Nuridayanti  
Published: March 2021

Abstract
This research aimed at determining the feasibility of sensor and transducer trainer as a learning media applied for Electronics Engineering students of FT UNM. This study’s feasibility indicators were divided into 3, namely feasible in terms of material, media, and responses from the students as users of these media trainers. The method applied in this research was Research and Development (R&D) by developing a sensor and transducer trainer. The data analysis technique used was descriptive statistical analysis. A questionnaire was used to collect the data by targeting 4 lecturers as media and material experts, while 27 students participated as a respondent. The assessment results from the material expert validator were obtained an average value of the feasibility percentage of 97%, while the assessment of the media expert received an average value of 96%. Based on this assessment, the media trainer was worthy of both the material’s content and its performance. Meanwhile, the value of students’ responses towards the use of trainers after being tested reached 84% with a very good category. The feasibility test results generally showed that the trainer could be used in practical learning of sensor and transducer course. This trainer could be developed with the addition of IoT (Internet of Things) technology to perform remote monitoring and control systems.
Consumption and Production of Short Film: toward the Conceptualization of Multimodal Language Learning for Developing 6Cs Skills in the Digital Age
Authors: Puspawati N W N , Suwastini N K A , Hutapea J V , Dantes G R , Adnyani N L P S 
Published: March 2021

Abstract
The 21st century’s democratization and demonetisation of multimodal learning sources allows anyone to be both consumers and producers at the same time. The present study argues that the consumption and production of independent short films through affordable digital devices as beneficial for multimodal language learning, befitting the student’s interest and the building of the six essential skills of their 21st-century context. The present study was designed as library research observing 30 most recommended articles in the related topic by Google Scholar, published in reputable international journal from 2010 to 2020. It is argued that consumption and productions of short films can be used for enhancing the students’ language skills. They can be used to tap the students’ creativity, communicative skills, critical thinking, and collaborative skills. At the same time, they can also be used to enhance their compassion toward issues around their society and environment during the implementation of procedural and computational thinking in this consumption and productions of short films. These also place the students as the subjects of the learning process, where their views, opinions, and feelings about certain issues matter so they can play their role in making the world a better place to live in.
Application of partial credit models in testing performance assessments for programming course
Authors: Mertasari N M S , Candiasa I M 
Published: March 2021

Abstract
The assessment of programming skills must be able to measure holistically the theoretical abilities and programming skills. Performance assessment is seen as an appropriate assessment to measure programming ability because it is able to evaluate authentic ability through the process carried out or the product produced. The problem that often arises is performance assessment testing to measure programming capabilities. On this occasion, the Partial Credit Model (PCM) was tried to test performance assessments to measure programming capabilities. PCM is a development of the Rasch model, which applies one parameter, namely the item difficulty index. If the Rasch model is applied to dichotomous items, then PCM is applied to politomic items. PCM assumes that all items have the same difference power. The category score on the PCM shows the per-step score for correctly completing the item according to the scoring rubric developed. The probability of each test taker is estimated by calculating the probability of answering each step in completing an item. There were five items that were tested in two parallel classes in relatively different times. The test results showed a difference in probability in the two classes, but the difference was not too far away. So, the performance assessment was precise enough to measure programming capability, and the test results were quite precise when tested with PCM.
Impact of cognitive styles on students’ psychomotoric abilities on multimedia course practicum
Authors: Mertayasa I N E , Subawa I G B , Agustini K , Wahyuni D S 
Published: March 2021

Abstract
Cognitive style refers to the way person processes, stores or uses information to respond to a task and different types of environmental situations. Cognitive style determines the way students collect and use information. On the words, it relates to how students respond to the learning process in the classroom. The purpose of this study is to examine the relationship of a student’s psychomotor abilities to a student’s cognitive style. Using quantitative design, this research it will be scientifically known how much cognitive style contributes to a student’s psychomotor abilities. The sample of this study is student who took Multimedia Technology courses in department of informatics and engineering education. Descriptive statistical analysis and inference statistical analysis were used to analyse the data. The results of this study revealed that there was a significant impact on the cognitive styles of the students in both dependent fields and independent fields.
Gamification design for high school student with unstable internet connection during covid-19 pandemic
Authors: Aristana M D W , Ardiana D P Y 
Published: March 2021

Abstract
Balinese society is a unique combination of traditions, culture, religion, values and moral values with a background of beautiful nature. As the centre of this combination is the Hindu Religion, which is the faith of the majority thus it is taught to students from elemntary school to high school. However, the Covid-19 pandemic, the teaching of Hindu religion has been switched to online leanring, at it poses challenges, such as lack of technological skill on the part of the teachers, unstable internet access, the use of large internet quotas, and inadequate electronic devices on the part of the students. The methods that can be used to increase student motivation and student involvement is gamification. Marczewski Gamification Framework was used to design gamification in Hindu religious subjects. In this study, the achiever user type was applied. This research used 3 game mechanics, Level/Progression, Quest/Challenges, Achievements/Rewards.
Adaptation strategy of authentic assessment in online learning during the covid-19 pandemic
Authors: Sutadji E , Susilo H , Wibawa A P , Jabari N A M , Rohmad S N 
Published: March 2021

Abstract
The crisis caused by the Covid-19 virus has a far-reaching impact on education, as schools have been closed since March 2020 in many countries around the world. However, despite certain limitations, the current situation demands action, so that the educational process for students around the world is not affected at all, including the assessment process. To make it effective, assessments must be active and authentic in online education. The problem is, until no, no instructional designs have been found for authentic online assessments. Thus, this study aimed to create an authentic assessment strategy adapted from the current implementation. In general, the method used in this research was development research compiled through surveys and developed qualitatively. The results showed that the forms of assessment that can be done were: doing a written test with case study questions or analysis provided in the online platform; online discussions with peer assessments as well as assessment of activeness by teachers; writing papers and analyze case studies including conducting reviews and criticisms. In principle, online teaching and learning can be delivered either asynchronously or synchronously. In the asynchronous assessment method, which is not done in real-time, assignments, and portfolios can be used to assess students’ knowledge and skills. The synchronous assessment method is carried out in real-time during online teaching and learning process.
Students’ perceptions of online learning in teacher training and education faculty
Authors: Vega N D , Eppendi J 
Published: March 2021

Abstract
This research aimed at describing students’ perceptions of online courses. This present study used a survey approach. The data were collected using a questionnaire that distributes in online form. This research used a public opinion survey that classifies purpose-based classification. The researcher made five-stage model, according to the theory of Salmon. Stage 1 found that the most of respondents had access the Internet for study (44.6%) and capably using the keyboard (45.5%) or compose text on a computer/gadget (46.7%), but they lack motivation in online learning (93.4%). Stage 2 involved individual participants establishing online socialization, the respondents felt uncomfortable doing online communication (80.1%), but they were still active in the online classroom in interaction with lecturers (96.4%). After that, the data showed they preferred working in a group in offline (75.3%) rather than online class (47.3%). At stage 3 related to information exchange, the respondents needed to review the material (84.2%) due to remind the advanced material, made a priority to manage self-disciplined (65.2%) and time effectively (71.4%). At stage 4, course-related group discussions developed and the interaction becomes more collaborative (knowledge construction). In online learning, the respondents preferred to work independently (67.8%) rather than in groups (47.3%) or collaborate (52.7%) during learning activities. Stage 5, about the experience of offline and online learning showed that they had a benefit to studying. The similar results about students’ motivation, they lacked motivation and assumed that offline and online learning activity had different situations and goals.
Development of 21st century skill learning designs through the application of the concept of independent learning in the vocational field
Authors: Sudirtha I G , Widiartini N K , Anggendari M D 
Published: March 2021

Abstract
This research aimed to develop 21st Century skill learning tools through the application of the concept of independent learning curriculum for independent vocational campus, as the implementation of the policy for independent learning towards an independent campus by the Ministry of Education and Culture in 2020. This research was conducted using the research and development method with steps of defining, designing, developing, and disseminating. To determine the feasibility of the learning device’s result, a validation was carried out using the Gregory formula by using two fields’ experts, namely learning technology experts and vocational education experts. Furthermore, improvements were made from the results in the form of suggestions and input from experts. The results showed that the learning device for the independent learning curriculum concept course was declared valid and applicable. Therefore, it was very feasible to be used to support the implementation of courses that supported the independent learning policy for independent campus.
The simulation of alkin evaluation model based on SAW to evaluate flip learning in IT vocational schools
Authors: Mudiarta I M D R , Divayana D G H , Setemen K 
Published: March 2021

Abstract
The implementation of flip learning at SMK TI Bali Global Jimbaran experienced several obstacles such as not accustomed to independent learning students, teachers who are not used to making digital material and there is no official regulation of its implementation. This study aims to determine the percentage level of effectiveness and the constraints faced in implementing flip learning in schools using the Alkin evaluation model combined with SAW (Simple Additive Weighting). The samples in this study was taken using a simple random sampling technique, consisting of the principal, teachers, and students who actively carry out flip learning. The data in this study were collected using a questionnaire based on the components of the system assessment, program planning, program implementation, program improvement, and program certification. This study obtained calculations from the evaluation aspect from the highest to the lowest values with the SAW calculation. The highest score was the legality aspect in system assessment with a value of 0.4265 and the lowest score was hardware maintenance aspects of the program improvement with a value of 0.3996. This lowest aspect is recommended to be a priority for improvement.
The digital strategic partnership of covid-19 pandemic in the perspective of national resilience in indonesia
Authors: Sugiharto A , Aminanto M E 
Published: March 2021

Abstract
As Indonesia officially acknowledged as one of the countries infected by Covid-19, a solution model is needed during a pandemic, not only because of Covid-19, but also to anticipate a pandemic in the years to come. The theories used were the theory of the information society, the theory of covid-19, and the theory of the public private partnership. While the methodology used was qualitative. The results of the research described how to find solutions and also in the form of a solution model with mutual synergy. Given that this pandemic will end, we need a multidisciplinary approach, one of which is from the perspective of national resilience.
Summary of ship comprehensive degaussing
Authors: Fan Jianming , Zhao Wenchun , Liu Shengdao , Zhu Zhen 
Published: March 2021

Abstract
Improving the magnetic stealth capability of ships [7]is of great importance to the safety of ships. The comprehensive degaussing method is an important method of ship degaussing. This paper mainly introduces the principle, coil classification, key and difficult factors of the comprehensive degaussing method and its application prospect in China.
The logarithmic mean method for Nonlinear Conductivities at Cell Faces
Authors: Jia Xinxin , Sun Xiaoling , Wang Lei , Zhang Hao , Li Xiangchun , Hao Zongrui , Duuan Liya 
Published: March 2021

Abstract
In this work, logarithmic mean method, which is based on the assumption that the diffusion coefficients profile is linear between nodes, is developed to calculate diffusion coefficients at cell interfaces. The new method is evaluated by solving one dimension steady diffusion equation and convection diffusion equation with strongly non-linear diffusion coefficients. Results indicate that the logarithmic mean method can achieve high precision as the Kirchhoff integral mean method even if the number of nodes is small, while the harmonic mean method needs more nodes to achieve the same accuracy. Furthermore, the logarithmic mean method only needs the diffusion coefficients of nodes, the disadvantage of Kirchhoff method which needs concrete expression of diffusion coefficients and numerous integral operation thus can be overcome.
Measurement of Bullet Velocity Parameter from High-speed Sequential Images
Authors: Ma Huangping , Chen Peng , Shi Haibo , Zhao Jiajun 
Published: March 2021

Abstract
The bullet velocity parameter is the base of the next analysis of many impact experiments. A complete and rapid measurement of velocity parameter before and after an impact of the projectile on the target is a problem to be solved. We proposed a method aiming at measuring the bullet velocity parameter from high-speed sequential images, completely and fast. We firstly set up the high-speed camera sensor network for grabbing and storing of high-speed sequential images. It contained two high-speed cameras, a synchronous control system, two master-slave computers to control other systems, and the supplement light system. Subsequently, a surveying control network was constructed to solve the parameters of videogrammetry. 3D reconstruction was applied to the solution of the bullet center 3D coordinates, and the bullet velocity parameter was finally solved by the approach of time difference. The experiment of measurement of the bullet velocity was done successfully. The bullet velocity parameter we measured was provided to the criminal investigation department.
A Novel Power Amplifier Model Based on Simplified Neural Network
Authors: Zhang Jin , Wang Jingqi , Xu Ao , Tao Zhan 
Published: March 2021

Abstract
Neural network is widely used as a behavioral model of power amplifier (PA) for its high flexibility and nonlinear fitting ability. This paper presents a novel simplified neural network (SNN) PA behavioral model. By employing an input classifier, the proposed SNN model reduces the number of input data needed for training the neural network, while achieving the same modeling accuracy in comparison to the already published neural network PA models. Simulation results show that the proposed model significantly reduces the computational load of PA modeling.
Emotion Recognition of Single-electrode EEG based on Multi-feature Combination in Time-frequency Domain
Authors: Cao Xiang , Zhao Kunyuan , Xu Dan 
Published: March 2021

Abstract
Most researches on EEG emotion recognition are based on multi-electrode EEG signal acquisition equipment. There are few studies on single-electrode EEG equipment and the classification accuracy obtained is not ideal. In order to further improve the classification accuracy, the paper proposes an EEG emotion recognition method based on the combination of multiple features in the time-frequency domain. Firstly, the wavelet transform is used to decompose the EEG signals under the three types of emotion labels and extracts the time-frequency information of four frequency bands, including alpha, low beta, high beta, and gamma, and then uses different sizes of sliding time windows to calculate separately their statistical characteristics in the time-frequency domain. Finally, the Long Short-Term Memory (LSTM) network with time-frequency domain characteristics is used to extract the sequence information of the deep features and combine the output results of the softmax classifier. The results of experiments show that the average accuracy of the proposed method is 93.09% and 98.36% on emotion food and emotion state dataset, respectively. Compared with traditional machine learning methods and other deep learning methods, the time-frequency LSTM model named TF-LSTM in this paper has better EEG generalization ability and classification performance, and also provides a new feasible scheme for emotion recognition research based on single-electrode EEG signal.