Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALISIS KESALAHAN SISWA DALAM MENYELESAIKAN SOAL CERITA PADA MATERI HIMPUNAN BAGI SISWA KELAS VII SMP

Abstrak : Penelitian ini bertujuan untuk mendiskripsikan analisis kesalahan siswa dalam menyelesaikan soal cerita pada materi himpunan bagi siswa kelas VII SMP N 1 Salatiga. Metode pengambilan subjek yaitu berdasarkan purposive sampling yan terdiri dari ketiga subjek. Berdasarkan hasil dan pembahasan dapat disimpulkan bahwa siswa berkemampuan rendah melakukan kesalahan di semua tahap yaitu, kesalahan membaca, kesalahan memahami soal, kesalaham transformasi, dan kesalahan keterampilan. Siswa bekemampuan sedang tidak melakukan kesalahan hanya pada tahap kesalahan membaca. Sedangkan, siswa berkemampuan tinggi hanya melakukan kesalahan transformasi dan kesalahan keterampilan. Abstract: This study aims to describe the analysis of student error in solving the story problem on the set material for students of class VII SMP N 1 Salatiga. The method of taking the subject is based on purposive sampling consisting of three subjects. Based on the results and discussion it can be concluded that the low-ability students make mistakes at all stages of reading errors, misconceptions, transformational errors, and skill mistakes. Student's ability not to make mistakes only at the stage of reading error. Meanwhile, high-ability students only make mistakes of transformation and skill mistakes.
An Examination of Middle School 7th Grade Students’ Mathematical Abstraction Processes

In this study, abstraction processes of 7th grade students were examined. In addition, it has been tried to explain how the implementation of this process affects the students' academic success. For this purpose, the experiment and control groups were formed. While the current teaching program was applied to the control group, the experimental group was taught with the ACE teaching cycle which is the application dimension of the theory based on the abstraction philosophy. It can be stated that such a study is shaped according to semi-experimental method. The application was carried out in the 7th grade of a state secondary school in the province of Erzurum in the 2014-2015 academic year, with a total of 31 students in the experimental group and 32 students in the control group. Both quantitative and qualitative data were obtained in the study. The achievement tests developed by the researcher for the quantitative data and the interview forms developed by the researcher for the qualitative data were used as data collection tools. In addition, the application in the experimental group was recorded with the help of a camera for later review and these records were used for support of qualitative data. The involvement of the researcher as a participant in the process provided the opportunity to obtain observation notes, and these observation notes were added to the qualitative dimension of the study. Therefore, in this study, it was tried to provide reliability by data diversity. The analysis of the quantitative data was done by statistical tests and the analysis of the qualitative data was done by descriptive analysis method. At the end of the research, it is seen that students’ abstraction level of the equation subject is better in the group that ACE teaching cycle is applied than the other group. Furthermore, it is seen that teaching in application process keeps the students’ interest and motivation alive. According to the results obtained it can be said that classroom activities based on students’ abstraction process may be necessary for a qualified learning.
Toward Multi-ontology Based Interoperability in Web Service Registry

Semantic interoperability is an important issue in web service registry (WSR). This paper presents an innovative approach to solve deep interoperability of multi-ontology in the same Domain, which will lead to the interoperability of web service based on these ontologies. We solve the issue by using ISO SC32 19763-3:MFI4OR Metamodel Framework for Interoperability: Metamodel for Ontology Registration) to register the different ontologies and the evolution information between them in the same domain for annotation to web service. Finally a domain-oriented prototype system of web service annotation for supporting multi-ontology interoperability is designed and evaluated.
Ptk (Penelitian Tindakan Kelas) Dengan Pembelajaran Berbasis Kearifan Lokal Dan Penulisan Artikel Ilmiah Di SD Negeri Kalisube, Banyumas

IbM activity aims to increase knowledge about local knowledge, improve skills develop proposals PTK Based Local Wisdom, compiling reports PTK (class action research) based Local Wisdom, and improve the skills of writing scientific articles. The method used in this activity is participatory learning and action (PLA), include: 1). coordination with partners in preparation for the implementation of the program, contact the team of experts, 2). preparation of several training modules to guide the activities, 3). training local wisdom Banyumas 4). technical training prepare proposals PTK Based Local Wisdom, 5). technical training prepare reports PTK Based Local Wisdom, 6). training technique of writing scientific articles, and 7). mentoring programs and evaluation. The result of this activity is the partner has insight into local wisdom Banyumas, and understand that PTK can be done using local wisdom as PTK Banyumas specific needs and character of students. Partners have the knowledge and skills in the preparation of proposals, the implementation of the PTK in the classroom, and the preparation of reports based on local wisdom PTK, partners have the knowledge and skill in preparing scientific articles, the partners have managed to draw up a report PTK and scientific articles have been published in scientific journals of education. Keywords: scientific articles, Banyumas, local knowledge, PTK (Classroom Action Research), SD Negeri Kalisube
The Efficacy of the Concept-Rich Instruction with University Pre-Service Teachers in a Tanzanian Context Using Vygotskian Perspective

This paper presents the findings of a pilot study on concept-rich instruction with university pre-service teachers in a Tanzanian context. The concept-rich instruction is an instructional approach which is used to develop students’ understanding of a mathematical concept (Ben-Hur, 2006). I conducted a pilot study to determine the efficacy of the concept-rich instruction to university pre-service teachers in Tanzania using Vygotskian perspective. I used a reflective journal and pre-test questionnaire to collect data while implementing the CRI in a daylong research meeting. After the pilot study, it was found that the concept-rich instruction helped preservice teachers to develop their understanding of a concept taught at schools in different ways, including defining a concept in multiple ways and relating a concept with local materials available in their daily environment. The findings have implications in the teaching and learning of the mathematical concepts that are taught at schools to the university pre-service teachers.
A Study Of Iterative-Compression Based Improved AES Key Expansion

AES key expansion algorithm doesn't have one-way property, and it can't prevent the sub secret key reverse. So an improved algorithm of AES key expansion based on Iterative-Compression was proposed in this study. The algorithm confused initial key by cyclically shifting, and then the 128-bit key iteration obfuscated compressed into a 32-bit secret key. The first sub key was generated by the key word, and the follow sub keys were extended through recursive computation according to the first sub key. In the end, results of the one-way property analysis and FPGA simulation demonstrate that the one-way property strength of the improved key expansion algorithm is 296. And it meets high efficiency requirement.
Perception Modeling of In-Pipe Robot based on Machine Learning

During the pipeline detection of the in-pipe robot, obstacles such as welds inside the pipeline will interfere with the movement of the robot. It can result in changes of the flow field environment around the robot. Its velocity and attitude can also change, making the errors of pipeline defect positioning. And it cannot meet the detection requirements. Therefore, a perception model of the in-pipe robot's drive system was established. It can adjust the driving torque in real time by sensing the velocity of the external flow field, the velocity and the attitude of the robot. And then the motion state of the robot can be adjusted to better adapt to the changes of the external environment. First, a composite-driven in-pipe robot was designed. And the dynamic analysis of the in-pipe robot was carried out to calculate the driving torque under different combinations of fluid velocities, velocities of robot motion and attitude angles. An offline database was constructed. Second, support vector regression (SVR) method was used to establish the prediction model of drive system. And the hyperparameters of the model were optimized through double deep Q-network (Double DQN) to improve the prediction performance. Finally, the optimal model parameters were selected through the comparison between the different parameters of the model. The results showed that the prediction error of the established perception model was controlled within 10%, which improved the accuracy of the pipeline detection.
Device specific standard test methods for electromagnetic interference of medical devices

Several device-specific, radiated electromagnetic interference test methods have been developed for particular combinations of medical devices and nearby sources of radio frequency interference (RFI). These tests are useful for supplementing the prevailing, generic standardized medical device RFI immunity test methods. Generic tests such as those specified IEC 601-1-2 and related standards underestimate the degree of RFI problems that can be encountered in the close proximity of handheld transmitters and cellular telephones. This occurs because the generic standards admittedly do not relate their test conditions to extreme exposure situations. Device-specific test methods have been developed by several organizations to evaluate the susceptibility to nearby transmitters of implantable cardiac pacemakers and defibrillators, as well as hearing aids. The U.S. Food and Drug Administration (FDA) developed and tested a "universal", simulated near-field RF source for this kind of test. It consists of a standard dipole antenna connected to an amplitude-modulated RF generator that can simulate a wide range of worst-case RF carrier frequencies and modulations. Another new device-specific test is the draft ASC 63 standardized test method for "ad-hoc" RFI testing. It is proposed to be used to evaluate the RFI susceptibility of a wide variety of specific medical devices. Individual RF sources will be used, such as handheld transmitters, placed one meter from the medical device under test in the actual clinical setting.
‘Generic’ Versus ‘Mature’ Measures Of Christian Religiosity: Comparing Two Quantitative Measures of Religiosity

A wide range of survey-based tools has been developed to measure religiosity, although the most commonly applied approaches tend to focus on ‘generic’ interpretations of religiosity for practical and generalising reasons. However, these generic approaches have not always been satisfactory due to the lack of variation in responses and the potential for poor correlation between the generic religiosity measure and the overall impact of faith in respondents’ lives, particularly in less secular contexts. This led us to explore whether there is a difference between measuring religiosity using a ‘generic’ versus a ‘mature’ approach using 227 Christian respondents on Bantayan Island, the Philippines. The findings suggest that overall religiosity among our respondents was high for both measures, that the measures are strongly correlated, and that there was no statistically significant difference between the scores for each scale; however, there was evidence to suggest that the two scales are examining different dimensions of religiosity. When correlating the two religiosity scores to other scales on our survey, there was no statistically significant difference among the correlations when using the mature or generic measure of religiosity. This has important implications for mental health and care research methodologies, for which we highlight the importance of using contextually appropriate measures that incorporate various dimensions of religiosity.
Consideraciones en el Desarrollo de Interfaces Naturales Gestuales Considerations on the Development of Natural Interfaces Gestures

Human-Computer devices interaction is a subject which has been researched from the beginning of technological development. The purpose of this aims to investigate the use of technology and improve human interaction with it. The development and integration of different types of technologies has generated a change in the interaction between humans and computers. Even though is assign directly to application developer analyst who has the responsibility to determine the distribution of different elements on the screen. However it is clear lack of knowledge in regard to the rules and studies facilities the creation of efficient and ergonomic interfaces. In the field of robotics it studies about Human-Computer Interaction, facilitate the creation of technologies which can be applied to “humanize” the hardware, and in this area has been quite helpful for natural interfaces. During the review of the literature, the variables that exerted an influence were analyzed in an effort to understand the interaction humans and computers, tablets (among others) and the use of graphics and natural interfaces that through proper design, allows you to maximize the performance of pointers and other devices with similar functions. After reviewing the results of the research, the conclusion is that neither the old nor the new interfaces uses a viable alternative to facilitate human interaction with technology. They still remains the worry about increasing diseases generated by the use and abuse of technology and the way we interact with it; also makes it is clear that the Natural User Interfaces NUI research is still generating design guidelines for the nascent, natural interaction and is still the potential to discover more.
Gloved Finger Recognition by Curve Matching

Finger recognition is an important basis of natural human-computer interaction, but existing researches are mainly on bare-hand finger recognition. Due to the fact that people need to wear gloves because of cold weather, working environment, etc, this paper presents a method to recognize gloved fingers by curve matching. This method firstly extracts contour curve from image edge. After fitting the contour curve, it calculates curvature integration of the fitted curve and then assesses similarity between the curvature integration and finger template’s. Finally, it recognizes fingers and positions fingertips according to the assessment. And the finger template which is used to match contour curve can be chosen at random without training. The experiment shows that this method is effective in recognizing fingers and positioning fingertips under the condition of scale variations, rotation variations and affine transformations, whether the subjects wear gloves or not.
Supporting faculty and staff to make better use of learning analytics data

Placing educational data in the hands of faculty and allowing them to explore these data has been of interest for many stakeholders in the past few years, with the hopes that faculty will use these data to improve the educational experience for students. Although these data have the potential to be powerful for improving STEM education, data are only as good as their analyses and application. Using 14 interviews conducted at one institution, we studied what compels faculty to seek out university-collected educational data, what challenges they face, and suggestions they have for improving data usage. Our sample consisted primarily of those already involved with education reform and were using learning analytics data to inform those projects. Challenges included unfamiliarity with quantitative education data and unawareness of the possibilities for learning analytics. We recommend that strategic, thoughtful advertising and already-existing resources be used to help mitigate challenges.
Mining Gems, Nurturing Relationships, Building Teacher Practice.

This report from the field presents a field-based program designed to prepare teachers to serve diverse children and families by emphasizing the actual practices that inform family–teacher partnerships. We argue that collaborative relationships across and among families and teachers can result in “mining gems” of knowledge that reside in students, families, communities, and schools for the enrichment of teaching and learning. We elaborate on the design of case-based, simulated parent–teacher conferences that provide teacher candidates with opportunities to learn to enact productive partnerships with families. Our design process resulted in a fictitious case featuring a Mexican American student, Marco, and his mother, Mrs. Silva. We designed the case such that Marco’s academic knowledge is related to his home-based experiences to emphasize that such experiences can support academic learning. To create this authentic case—a goal of this report from the field—we drew upon school-based observations to describe Marco’s academic and social experiences. To authenticate the case, we interviewed informants who had characteristics in common with that of Mrs. Silva or whose professional experience aligned with the teaching scenario. The case includes descriptive information gleaned from the perspective (a) of a teacher who observes the student in her class, and (b) of a mother who knows the child holistically. This information is used by a teacher candidate (playing the role of the teacher) and an instructional team member (playing the role of Mrs. Silva) during a 10-minute simulation of a parent–teacher conference. SCHOOL COMMUNITY JOURNAL 190
On production of gamma rays and relativistic runaway electron avalanches from Martian dust storms

Production of runaway electron avalanches and gamma rays originating inside Martian dust storms are studied using Monte Carlo simulations. In the absence of in situ measurements, we use theoretical predictions of electric fields inside dust storms. Electrons are produced through the relativistic runaway electron avalanches process, and energetic photons are results of the bremsstrahlung scattering of the electrons with the air. Characteristic lengths of the runaway electron avalanche for different electric fields and the energy spectrum of electrons are derived and compared to their terrestrial counterparts. It is found that it is possible for Martian dust storms to develop energetic electron avalanches and produce large fluxes of gamma ray photons similar to terrestrial gamma ray flashes from Earth's thunderstorms. The phenomenon could be called Martian gamma ray flash, and due to the very thin atmosphere on Mars, it can be observed by both ground‐based instruments or satellites orbiting the planet.
Drivers of farmers' up-take of ecological approaches - a conceptual framework with a behavioural focus

This deliverable D2.1 of the LIFT project presents the conceptual framework on farmers’ up‐take of ecological approaches across the supply chain. The framework combines behavioural theories on individual decision‐making with drivers and methodological considerations related to economic decision‐making. Furthermore, deliverable D2.1 presents a systematic map of previous literature related to farmers’ up‐take of ecological approaches. The purpose of D2.1 is to guide data collection through the LIFT survey to farmers and interview studies in WP (workpackage) 2 of LIFT. The theoretical part of the framework departs from the Theory of Planned Behaviour (TPB) for understanding individual decision‐making, extended by integrating the Technology Acceptance Model (TAM). Furthermore, the framework distinguishes between endogenous, as well as exogenous factors such as: (i) motivational factors; (ii) farmers’ self‐identity; (iii) farm characteristics; (iv) supply‐chain characteristics; (v) institutional conditions (including policy framework); and (vi) consumers’ preferences and demands. Factors serve to identify the main drivers of farmers’ up‐take of ecological approaches, and to enable comparison of different dimensions of up‐take across territories. The decision to implement the up‐take of ecological approaches is approached across four different dimensions, according to their: (i) timing; (ii) intensity/extensity; (iii) size of change, and (iv) type of practices adopted. These dimensions are important since the factors that affect the decision to adopt have been found to differ across them. The deliverable continues by presenting a systematic map of previous literature related to farmers’ up‐take of ecological approaches. Two methodological approaches for understanding the drivers of farmers’ up‐take of ecological approaches are suggested: psychometric methodology and qualitative interviews, using the means‐end chain and laddering approach. The deliverable ends by concluding on implications for the LIFT farmers’ survey.
Multidimensional Approaches to Examining Digital Literacies in the Contemporary Global Society

Literacy scholars have offered compelling theories about and methods for understanding the digital literacy practices of youth. However, little work has explored the possibility of an approach that would demonstrate how different perspectives on literacies might intersect and interconnect in order to better describe the multifaceted nature of youth digital literacies. In this conceptual article, we adopt the idea of theoretical triangulation in interpretive inquiry and explore how multiple perspectives can jointly contribute to constructing a nuanced description of young people’s literacies in today’s digitally mediated global world. For this purpose, we first suggest a triangulation framework that integrates sociocultural, affective, and cognitive perspectives on digital literacies, focusing on recent developments in these perspectives. We then use an example of discourse data from a globally connected online affinity space and demonstrate how our multidimensional framework can lead to a complex analysis and interpretation of the data. In particular, we describe the substance of one specific case of youth digital literacies from each of the three perspectives on literacy, which in turn converge to provide a complex account of such literacy practices. In conclusion, we discuss the promise and limitations of our integrative approach to studying the digital literacy practices of youth.