bluuebunny/crossref_metadata_2025 huggingface dataset:
Building brand narratives with hashtags on Twitter
Authors: Pérez-Hernández Lorena
Published: January 2020

This paper investigates the use of hashtags in the building of brand narratives (i.e. the open-ended, unfolding and participative depiction of a company’s core ideology and beliefs). A collection of over 700 hashtags involved in the creation of the advertising narratives of the four leading soft drinks brands in 2017 (i.e.Coca-Cola, Pepsi, RedBull, Nescafé) has been analyzed both quantitatively and qualitatively to unveil their functions and formal characteristics, as well as the cognitive processes that underlie their interpretation and operate on the framing and dissemination of brand narratives. Ultimately, by categorizing and explaining the roles of hashtags in the construction of a brand narrative, as well as the potential correlations between their formal and functional traits and their retweeting rate and digital lifespan, this paper shapes a preliminary description of the characteristics of the subgenre of hashtag-based brand narratives and spells out some of the factors that should be considered in the choice of hashtags for advertising purposes.
genre as struggle
Authors: Tseng Ming-Yu
Published: January 2020

This study investigates the cognitive-pragmatic motivations for the emergence of a genre of health communication
called Patient Decision Aid (PDA). It elucidates genre as struggle, i.e. how the emerging genre
exemplifies various struggles on three strata: the difficulties facing patients, doctors, and health providers at practice level;
the changes anticipated to take place at discourse level; and the tensions in the pragmatics-cognition-society nexus. Particularly
illustrated here are five struggles that characterize changes or breakthroughs that PDAs are anticipated to make. It suggests that
the five struggles roughly correspond to five principles for genre theory proposed by Berkenkotter and Huckin (1993), with some modification of the latter. It also illustrates that genre intervenes in
the complexity between social issues and social cognition and that PDAs as a new genre involve restructuring, reshaping and
redesigning the key discourse facets (e.g. prior discourse, participants, language, medium, the world, and purpose). Based on
examples of Chinese-language PDAs officially released in Taiwan and on information from health professionals, policy makers, and
PDA developers, this study contributes empirical evidence toward a better understanding of an emerging genre.
Genre and constructional analysis
Authors: Nikiforidou Kiki
Published: January 2020

Constructional approaches to genre model genre knowledge in terms of genre-based constructions. Like all constructions, these represent conventionalized pairings of meaning and form, of varying degrees of length and schematicity, whose pragmatic specifications include their association with a particular socio-cultural context. In this state-of-the-art article I review genre-related constructional work, discussing grammatical patterns that are licensed only in particular contexts, including conversational genres, as well as expressions that qualify as constructions simply on the basis of socio-cultural currency. The appropriateness of constructional analysis for the language of genre derives from the definitional incorporation of discourse-pragmatic information in constructional descriptions and the possibility of relating genre-bound, idiosyncratic patterns to the rest of the constructions in a language through relations of inheritance. I further highlight the compatibility of Frame Semantics with the notion of genre and critically discuss the concept of conventionality as it applies to genre language.
Genre as cognitive construction
Authors: Baicchi Annalisa , Iza Erviti Aneider
Published: January 2020

The present article investigates a set of discourse connectors in the academic lecture genre from the viewpoint of the inseparable pair of pragmatics and cognition. Making use of theMICASEcorpus for data retrieval, a selection of discourse constructions encoding comparative contrastive meanings are analysed and their distinctive features are critically described and explained. The aim is to show how each particular genre promotes the use of certain constructions. TheMICASEdatabase reveals that, among all the subgroups of complementary contrastive constructions, some seem incompatible with the academic lecture contexts by virtue of the particular characteristics of this specific genre.
Comparing user-dependent and user-independent training of CNN for SSVEP BCI
Authors: Ravi Aravind , Beni Nargess Heydari , Manuel Jacob , Jiang Ning
Published: January 2020

Objective. We presented a comparative study on the training methodologies of a convolutional neural network (CNN) for the detection of steady-state visually evoked potentials (SSVEP). Two training scenarios were also compared: user-independent (UI) training and user-dependent (UD) training. Approach. The CNN was trained in both UD and UI scenarios on two types of features for SSVEP classification: magnitude spectrum features (M-CNN) and complex spectrum features (C-CNN). The canonical correlation analysis (CCA), widely used in SSVEP processing, was used as the baseline. Additional comparisons were performed with task-related components analysis (TRCA) and filter-bank canonical correlation analysis (FBCCA). The performance of the proposed CNN pipelines, CCA, FBCCA and TRCA were evaluated with two datasets: a seven-class SSVEP dataset collected on 21 healthy participants and a twelve-class publicly available SSVEP dataset collected on ten healthy participants. Main results. The UD based training methods consistently outperformed the UI methods when all other conditions were the same, as one would expect. However, the proposed UI-C-CNN approach performed similarly to the UD-M-CNN across all cases investigated on both datasets. On Dataset 1, the average accuracies of the different methods for 1 s window length were: CCA: 69.1%  ±  10.8%, TRCA: 13.4%  ±  1.5%, FBCCA: 64.8%  ±  15.6%, UI-M-CNN: 73.5%  ±  16.1%, UI-C-CNN: 81.6%  ±  12.3%, UD-M-CNN: 87.8%  ±  7.6% and UD-C-CNN: 92.5%  ±  5%. On Dataset 2, the average accuracies of the different methods for data length of 1 s were: UD-C-CNN: 92.33%  ±  11.1%, UD-M-CNN: 82.77%  ±  16.7%, UI-C-CNN: 81.6%  ±  18%, UI-M-CNN: 70.5%  ±  22%, FBCCA: 67.1%  ±  21%, CCA: 62.7%  ±  21.5%, TRCA: 40.4%  ±  14%. Using t-SNE, visualizing the features extracted by the CNN pipelines further revealed that the C-CNN method likely learned both the amplitude and phase related information from the SSVEP data for classification, resulting in superior performance than the M-CNN methods. The results suggested that UI-C-CNN method proposed in this study offers a good balance between performance and cost of training data. Significance. The proposed C-CNN based method is a suitable candidate for SSVEP-based BCIs and provides an improved performance in both UD and UI training scenarios.
Performance Evaluation of Channel Decoder based on Recurrent Neural Network
Authors: Meng Saisi , Jiang Xue-Qin , Gao Yongbin , Hai Han , Hou Jia
Published: January 2020

Recently, recurrent neural network (RNN) has demonstrated superior performance for channel decoder, which motivates us to explore which RNN decoder can be more efficient. In this paper, we propose three kinds of RNN decoders, which are built upon long short term memory (LSTM), gated recurrent unit (GRU) and bidirectional gated recurrent units (Bi-GRU), respectively. The performance of these three RNN decoders are evaluated through lots of simulations, which indicate that the GRU decoder with simplest structure and least computational time, has similar bit error rate (BER) performance as that of the LSTM decoder. The Bi-GRU decoder has the best BER performance at the expenses of more computational time. However, it is prone to overfitting. Furthermore, we find that the BER performance of RNN decoders without dropout is better than that of the decoders with dropout when decoding models are underfitting, while the RNN decoders are better to dropout when decoding models are overfitting.
Detect Black Box Signals with Enhanced Spectrum and Support Vector Classifier
Authors: Lou Chenlu , Pan Xiang
Published: January 2020

When the plane crash into the sea and the search and rescue team search the location black box, we need to detect a specific acoustic signal in the ocean. The underwater acoustic channel has several distinct features: multipath propagation, high attenuation, and sound velocity varying as a function of depth and temperature, which make the detection of underwater signals very difficult. This paper proposes a new method in the marine signal detection and discrimination based on adaptive line enhancer and support vector machine classifier, which can provide a new idea for marine black box search. The adaptive line enhancer of the least mean square algorithm can detect narrowband signals hidden in wideband noise, while the support vector machine classifier maps signals to high-dimensional space and screens out hyperplanes separating different signals from machine data through previous data. Experimental data show that this method can bring a very high recognition rate.
The Design of a Low-Cost Tunable Laser Based on Reconstructed Equivalent Chirp
Authors: Ziyu Liu
Published: January 2020

With the development of optical fiber communication, tunable laser design has become an international research hot spot. In this paper, a new type distributed feedback (DFB) tunable laser is introduced. It uses the Reconstruction-Equivalent-Chirp (REC) technology, combining the stepped chirp sampling structure and superstructure fiber Bragg grating structure. We can obtain continuous tunable multi-channel laser and achieve the purpose of eliminating chirp of the chirp pulse and compressing pulse width at the same time. Through the simulation calculation, it can be known that the output power of each laser’s channel are roughly equal. The laser can realize the tuning between 1530 nm to 1560 nm. And for the initial pulse with the conditions of Tin = 20 ps, the chirp coefficient C = 5 and time-bandwidth product is 2.25, time-bandwidth product will change to 0.458 after REC compression. The compression ratio is about 5:1, which means the pulse frequency chirp can be basically eliminated. The structure only needs to be manufactured by traditional lithography. Its low cost and excellent performance leads to a good applied prospect.
Visualization of Learning Outcome Structure for Self-Learning
Authors: Nitchot Athitaya , Gilbert Lester
Published: January 2020

The success and quality of an educational or training system is assessed by its match to the competences it claims to develop. In this research, we propose a conceptual model of contextualized competence (or learning outcome), being a learner’s capability with respect to some subject matter. We also suggest a controlled vocabulary of capability verbs, based upon Merrill’s theory insight that a particular capability should be associated with a particular type of subject matter. At this stage, the model is deployed as a subject matter graph without contextualization in the domain of programming fundamentals. The implemented tool associates learning resources (mainly html links) with the domain knowledge structures, offering graph creation and visualization, resource suggestions, and learning paths. Future work will include learning outcomes and related context, and will evaluate user satisfaction and accessibility.
Segmentation of Lung Images Using Textural Features
Authors: Ilyasova N Yu , Shirokanev A S , Demin N S
Published: January 2020

This paper proposes a technology for lung image segmentation using textural features. To analyze the informativeness of the features, the K-Means method was used. The segmentation result can be used to describe the characteristics of the patient: age, gender, physique, etc. The study was conducted on a large set of fragmented images. X-ray clustering errors for the 12×12, 24×24, and 36×36 fragmentation windows were presented. Pre-processing of images was also used to estimate the quality. The study showed that the technology provided key objects selecting error at little more than 25%. However, the alignment procedure reduced this error to 13%. When using the k-means method, a link was found between the segmentation error and the size of the fragmentation window. The selection of the range of interest on the lungs x-ray in accordance with the equalization was considered preferable. The high error of the first clustering method was associated with the choice of feature space; in our case, image processing was conducted for all features calculated using MaZda software.
Analysis of Convolutional Neural Network for Fundus Image Segmentation
Authors: Shirokanev A S , Ilyasova N Yu , Demin N S
Published: January 2020

In this paper the study of fundus image segmentation using convolutional neural networks is carried out. A neural network architecture was made to classify four classes of images, which are made up of thick and thin blood vessels, healthy areas, and exudate areas. The CNN architecture was constructed empirically so as the required accuracy of no less than 96 % is ensured. The segmentation error was calculated on the exudates class, which is key for laser coagulation surgery. In the paper we utilized the HSL color model because it renders color characteristics of eye blood vessels and exudates most adequately. We have demonstrated the H channel to be most informative. We have investigated the robustness of technology to various noises. Experimental studies have shown the instability of the convolutional neural network to Gaussian white noise and resistance to impulse noise.
Face Alignment by Supervised Descent Method with Head Pose Estimation
Authors: Zheng Zheng
Published: January 2020

Face alignment, which aims at locating facial key points automatically, is an important topic in computer vision community. And many works have been done to solve this problem. The most well-known solution is Supervised Decent Method(SDM). However, SDM has been designed to use mean shape as initial shape, which is vulnerable to large pose variation. In this paper, we present a novel approach for detection of the facial key points, getting initial shape from a special shape according to the head pose of the data. Experiments show that our approach achieves significant improvement. In both 21 points and 68 points detection cases, our method achieves nearly 50% improvement on challenging dataset IBUG, and about 1% improvement in HELEN and LFPW test set.
The Method of Vehicle Type Identification Based on Improved Corner Feature
Authors: Tong ZHANG , Bochong WEN
Published: January 2020

This paper present a method of vehicle type identification using improved corner points as key points for feature description. The corner points can reflect the information of different type. Therefore, we adopt the features of corner points to recognize which type the vehicle belongs to. The method of Harris corner detection was improved, and the ratio of eigenvalues of M matrix in different directions was added to the corner response. The corner points were detected by improved corner response and results of test showed that the count of the detected corner points was increased. Considering rotation invariance and scale invariance, feature description is carried out around detected corner points. The vector of feature is determined by the Harr wavelet response of the pixels around the corner point, but the direction is only one of the eight values, and the length of the vector is 16. The matching rate of feature vectors between different types is used to determine which type the vehicle belongs to. The results of experiment confirmed the validity of the method.
Application of Mesh-Less Algorithms in Image Processing
Authors: Yan Zhang , Heng Zhang
Published: January 2020

Mesh-less method is a discrete governing equation which does not need to generate grids in numerical calculation and constructs interpolation functions according to some arbitrarily distributed coordinate points. This method can easily simulate flow fields of various complex shapes. In this paper, mesh-less method is applied to phase unwrapping in image processing of InSAR. This method can forbid error accumulate to the whole image in the sense of least squares. The precision of this method are can showed by real data.
A Tomato Quality Identification Method Based on Raman Spectroscopy and Convolutional Neural Network
Authors: Yin Wu , He Chenying , Wu Qibao
Published: January 2020

in recent years, more and more technologies have been applied in monitoring growth and production efficiency of plants, i.e. agricultural Internet of Things (IOT) and new information-aware technologies. The architecture of the IOT is divided into four layers, i.e., the sensing layer, network layer, processing layer and application layer[1-4]. Among them, the perception layer is the facial features and the skin of the IOT, which is the basis of the IOT [5]. Raman spectroscopy technology has the advantages of fast, simplicity, accuracy, non-destructive and automatic identification, which has become a powerful analytical verifying method. The method of tomato quality identification that based on the Raman spectroscopy combined with convolutional neural network (CNN)[6]was explored. The Raman spectrum of tomato was collected by Raman sensor to construct a neural network with deep network structure. Through repeatedly learning and training in Raman map, we can determine the map recognition model of high quality tomatoes and use matplotlib to realize the identification simulation.
Attention Computation in the Processing of L2 Cognition: Revisiting Learning Models
Authors: Lan Yizhou , Li Will Xiangyu
Published: January 2020

Studies show that the way our brain processes incoming speech sounds has a lower-level grounding derived of acoustic similarity. Previous theoretical models of speech sound processing posit that higher-level cognitive process plays little role in perception and in successful and complete processing of speech sounds. The present study investigates if such models may be effectively extended to incorporate influences from higher level cognitive cues, such as voluntary attention, to certain acoustic dimensions of the speech sound stimuli. In this paper, we investigate the relationship in a qualitative way between the efficiency of the language processing and high-level perceptual mechanism through computational simulation of speech perception, and accuracy and reaction-time measurements. The results of experiments lead to an enhancement of existing statistical signal processing and perception models’ predictions. Our findings revealed that acoustic similarity in speech sound signals merely does not accurately predict the acquisition outcome, and the enhancement of natural language learning can be achieved by effectively mining out the auxiliary cognitive cues in these signal processing activities.
Analysis of prospective chemistry teachers’ understanding about rate of reaction concept
Authors: Wardah A C , Wiyarsi A , Prodjosantoso A K
Published: January 2020

This research was carried out to reveal prospective chemistry teachers’ understanding in rate of reaction concept. A survey with a quantitative approach study was conducted toward 61 of prospective chemistry teachers who were taking a basic chemistry course. Data were obtained using a true and false test which containing 30 questions related to the rate of reaction topic. They were categorized into five concepts covering rate of reaction basic concept, rate of reaction law, collision theory, factors that affect the rate of reaction, and reaction mechanism concept are 3, 4, 3, 14, and 6 questions respectively. The results proved that most of them had a low understanding in the rate of reaction concept, especially on the first concept but in the concept of collision theory they had a relatively high understanding. The efforts are needed by them as prospective chemistry teachers to increase their understanding of the rate of reaction concept. However, this research did not explore their description in explaining about the concept. Therefore, there is a need for further research to discuss the mental models of prospective chemistry teachers in the rate of reaction concept understanding.
Chemistry teaching self-efficacy: A scale development
Authors: Tyas A S , Senam  , Wiyarsi A , Laksono E W
Published: January 2020

This study was aimed to develop the Chemistry Teaching Self-efficacy (CT-SE) instrument. The method of this study is an applied survey method. The data of pre-service teachers’ CT-SE was obtained through a questionnaire. Three dimensions of self-efficacy were examined in this study, Personal Science Teaching Efficacy belief (PSTE), knowledge efficacy, and teaching efficacy. A group expert confirmed the content validity of the CT-SE with 50 items that had been administered to 137 pre-service teachers. The data were analyzed using the Rasch model that the met criteria of the unidimensionality, item fit, difficulty/ability estimation, reliability, and information function. The results of the Rasch model showed that there are 39 items CT-SE that fit with the Rash model and high reliability for the person’s reliability and excellent reliability for the item reliability. The chemistry teaching self-efficacy is acceptable as a good instrument to collect the data. This study suggests that chemistry teaching self-efficacy will prove to be a useful instrument for the measure of pre-service teacher self-efficacy for acid-base topics in chemistry learning.
Analysis of misconceptions by four tier tests in electrochemistry, case study on students of the chemistry education study program UIN Antasari Banjarmasin
Authors: Murniningsih  , Muna K , Irawati R K
Published: January 2020

This study aims to determine misconceptions on electrochemistry on the students of Chemistry Education Study Program UIN Antasari. The qualitative descriptive approach in this study was used to identify student misconceptions using the four-tier test. There are four (4) test levels which include: (1) multiple-choice with C2-C6 level, (2) confidence rating of the answer beliefs, (3) reasons for the answers, and (4) confidence rating of the reasoning beliefs for the answers. The three criteria used in the level of misconception consist of high, medium and low criteria. The results show that the students of the Chemistry Education Study Program of UIN Antasari experience misconception with moderate criteria on all electrochemical concepts which include the concepts of species undergoing oxidation and reduction in both Voltaic and electrolysis cells. Student’s misconception about the direction of electron flow, the condition of electron flow during electrolysis, and cathodic protection of iron.
Profile of students’ self-efficacy in chemistry learning: Case study at senior high school
Authors: Zarkasyi C S , Partana C F
Published: January 2020

This study aims to analyse students’ self-efficacy in chemistry learning. Descriptive quantitative method was used in this research. The research respondent was 77 senior high school student in Yogyakarta Indonesia. Data collection techniques was survey. Instruments used for collecting data was questionnaire sheet. The data analysis technique used was V’Aiken equation to analyse experts judgement in validation process and likert scale to analyse self-efficacy data. The results of this study were 1) 53% of student had higher criteria of self-efficacy and 47% had lower of it, 2) the factors affecting students’ self-efficacy were motivation, personal experience, phsycology, emotional, and social environment. The more factors owned by student, the more students’ self-efficacy rose otherwise their self-efficacy will decrease.
Application of problem based learning model to improve problem solving ability of student of XI science grade in chemistry
Authors: Kurniawan E , Sofyan H
Published: January 2020

The purpose of this study was to determine the effect of the application of problem-based learning models compared to conventional learning models to improve students’ problem solving skills in XI IPA SMAN 2 Labuapi This research is quasi-experimental, which used nonequivalent control group design. The population in this study were all students of XI IPAN SMAN 2 Labuapi in the academic year 2015/2016. The research sample consisted of two classes, namely class XI IPA 1 as an experimental class and class XI IPA 2 as a control class. The sampling technique used saturated sampling techniques. The instrument used to measure the ability to solve problems in the form of a description test. Data analysis techniques used the Anacova test for hypothesis testing and N-Gain to see the improvement of students’ problem solving skills. Anacova test results found that there were significant differences between the variables involved in the study, while the average increase in students’ problem solving abilities for the experimental class was lower than the control class. Based on these results it can be concluded that the problem solving abilities of students taught with problem-based learning models do not have a higher increase compared to conventional learning.
Attitude toward chemistry: Student’s perception based on learning experience
Authors: Fahmidani Y , Rohaeti E
Published: January 2020

This research is descriptive study that explains students’ scientific attitude in learning chemistry. Based on the purpose, a questionnaire which contained several statements about students’ scientific attitude was distributed. The number of students who participated was 55 students in two high schools in Yogyakarta, Indonesia. Questionnaire data were analyzed quantitatively as a percentages, then categorized as low, medium and high. The data shows that most students still have scientific attitudes in the low and medium categories. This research is can be additional information for teachers and other researchers to improve students’ scientific attitude because scientific attitudes are also related to student achievement.
A need analysis to optimization computer laboratory in chemistry learning process according to chemistry teachers and natural science students in 3T regions
Authors: Amin D I , Ikhsan J
Published: January 2020

The aims of this descriptive research were identifying optimization level of chemistry teachers and students in the utilization and using computer laboratory commonly used for computer based national test, and learning style of science students in 11th grade at Senior High School while chemistry learning process in 3T regions. The participants consisted of 8 chemistry teachers and 82 natural science students in 3 Bangkalan sub-district of Bangkalan Regency, East Java Province. Data collection was conducted by giving a close-ended questionnaire which consists of 23 statements for chemistry teachers and 18 statements for science students with 4 alternative respons option (very appropriate to very inappropriate). The data was analyzed by percentage formula. The results showed that chemistry teachers have not optimized the using computer laboratories in chemistry learning. The student participants, who have visual and kinesthetic style learning, have never used computer laboratory facilities that available in schools for the benefit of learning chemistry.
Students’ conceptual understanding on acid-base titration and its relationship with drawing skills on a titration curve
Authors: Wahyuni T S , Purwanto K K
Published: January 2020

The study aimed to describe the conceptual understanding of acid-base titration and to know its relationship with drawing skills on a titration curve. This study used a quantitative approach with a type of correlational descriptive one. The study has been carried out with 54 undergraduate students of the Chemical Education Department at the Faculty of Tarbiyah and Teacher Training in State Islamic Institute of Tulungagung in the even semester of the 2018/2019 academic year. The data collection used test technique which is consisted of a written test and drawing skills of a titration curve using Ms. Excel. The data analysis technique used product moment correlation with the SPSS 17.0 program. The results showed that the average value of conceptual understanding in acid-base titration and drawing skills of a titration curve were 53.7 (medium) and 71.4 (good), respectively, with the number of students getting above average scores was 25 (46.3%) and 30 (55.6%), respectively. Based on product-moment correlation analysis, sig = 0.000 <0.05 means that there is a significant relationship between the conceptual understanding of acid-base titration with the skills of drawing the titration curve. Furthermore, the value of r = 0.526 correlation is included in the moderate category.
The development of CAT-MARZANO as an assessment media in the industrial revolution 4.0
Authors: Patria Y A B , Istiyono E
Published: January 2020

In the Industrial Revolution 4.0 (IR 4.0) computers were used as a media of assessment. This study aims to develop a media assessment in the form of CAT-MARZANO as a form of response to the challenges of IR 4.0 in the world of education. The research method used is the R&D method using the 4D model to develop the CAT and Antonio Oriondo models to develop HOTS of Marzano’s version test. This research was conducted on 11thgrade students in Bantul District. The results of this study found that 136 questions developed were valid and reliable based on the Aiken V index (0.74.1.00) which was assessed by 9 experts. Test fit with PCM and effective for use with a percentage of 82.80%.
Application of e-handout based on PhET simulation to improve critical thinking skills and learning independence of high school students
Authors: Ramadan E M , Jumadi  , Astuti D P
Published: January 2020

This study aims to determine the application of e-handout with the help of PhET simulation model of problem-based learning integrated with LMS Edmodo to improve critical thinking skills and students’ learning independence in class X of SMAN 1 Sleman on collision material and the law of conservation of momentum. This research is an experimental design study. The design of this study is one-group pretest-posttest design model. The method of data collection is using the results of the initial and final tests in both the experimental class and the questionnaire of learning independence. The results showed that students’ critical thinking skills and independence of learning in both classes improved after using PhET-assisted e-handouts. Conclusion The application of e-handouts with the help of the PhET simulation model of problem-based learning can improve critical thinking skills and there is a difference in the learning independence.
Development of physics mobile learning media in optical instruments for senior high school student using android studio
Authors: Aji S H , Jumadi  , Saputra A T , Tuada R N
Published: January 2020

Physics learning requires good media in order to convey the relation of physics with everyday life. Lesson material delivered in the form of multimedia is accepted by students better than material in the conventional form. Smartphone-based media is one of the breakthroughs that can be implemented into physics learning. The purpose of this study is to produce an Android-based physics mobile learning media product that are valid and feasible for use in learning. This research is a Research & Development study with procedures adapted from the 4-D model. Based on the results of the development, obtained an Android-based physics mobile learning media product on the Optical Instruments material. The product was developed using the Android Studio 3.2 IDE at the minimum level of API 14 Ice Cream Sandwich. Media products are declared valid and can be used in physics learning with expert assessment results on the Very Good criteria.
Development of android-based learning media on light reflection material to improve the critical thinking skill of high school students
Authors: Sholihah N , Wilujeng I , Purwanti S
Published: January 2020

The purpose of this study are 1) to develop physics learning media in light reflection material, 2) to know the improvement of students’ critical thinking skill after implementing android-based learning media in their study. Research method used was 4-D namely Define, Design, Develop, and Disseminate. The sample of this research was 20 students of class XI MIPA in MAN 2 Yogyakarta. The technique used for collecting data was tests (pretest and posttest) and non test. The instruments used for collecting data was learning media validation sheets and question sheets. The data analysis technique used a sign test to determine the effect of learning media on critical thinking skills improvement. While the improvement on critical thinking skills using the normalized N-Gain equation. The results of this study was 1) learning media developed was valid, 2) android-based learning media improved students’ critical thinking skills as evidenced by the value of sig 0.00 <0.05, and 3). There is an improvement on students’ critical thinking skills calculated using N-gain equation with a low category namely g> 0.03 and a high category which is 0.03 <g <0.07.
The development of PBL e-handout assisted by PhET simulation of optical material-lenses for high school students
Authors: Aminah S N , Jumadi  , Astuti D P
Published: January 2020

Technology is very important in learning, particularly in learning physics. This paper aims to determine the feasibility of e-handout PBL-aided simulations PhET. The development of the e-handout is in accordance with the ADDIE development model which is validated by the validator team. E-handout developed with simulations PhET and included in the virtual classroom Schoology can be accessed on a laptop that can be used as teaching materials to help students explore the concepts of physics.
Development of android-based comics integrated with scientific approach in physics learning
Authors: Rahayu M S I , Kuswanto H
Published: January 2020

This research aims to determine the feasibility of an android-based comics with scientific approach in physics learning. This research used the model of development ADDIE (Analysis, Design, Development, Implementation, Evaluation). The research data were obtained through product feasibility assessments by material and media experts as well as student questionnaire responses. The results of the research based on the assessment of media and material experts are included in the very good category. Students’ response to the comics developed is also very good. Features in the comics contain the step of learning with scientific approach (Observing, Questioning, Data Collection, Associating, Communicating) to make students more active in learning. So, it is feasible for use in physics learning.
Android physics comics to train the mathematical representation ability on momentum and impulse of senior high school students
Authors: Priyadi A N W , Kuswanto H , Sumarna
Published: January 2020

The purpose of this study is to train students’ mathematical representation abilities using the android physics comics of momentum and impulses. This research is an experimental research. This research was conducted in the 2nd semester of April 2019. Performed in the semester II on April 2019. Using 2 classes, namely X MIA 3 as comic modelling class with 22 students and X MIA 1 as comic implementation class with 24 students. The data collection instrument was in the form of a mathematical representation ability test that was tested before and after learning. Data analysis used the n-gain test to find out the increase in students’ mathematical representation ability. The results of the n-gain analysis show that the comic modelling class is mostly in the medium category, while the implementation comic class is mostly in the high category. Based on the results of the analysis it can be concluded that learning using the android physics comic’s application can improve the mathematical representation ability of students on the momentum and impulses.
Analysis of critical thinking skills and scientific communication of students for SHM concepts assisted by Ispring quiz maker test instrument
Authors: Radjibu P I V D , Kuswanto H , Sugiharto
Published: January 2020

The purpose of this study was to determine: (1) Students’ critical thinking skills taught using the Group Investigation and Direct Instruction learning model. (2) The ability of students to think critically in terms of students’ scientific communication skills in physics, especially the concept of Simple Harmonic Motion (SHM) in springs after applying the learning model of group investigation (GI) and direct instruction (DI) assisted by Ispring Quiz Maker media. The experimental class is class X MIA 3 and the control class is class X MIA 4. The design of this study is the True Experimental Design type Pretest-Postest Control Group Design. The instrument consisted of: (1) formative critical thinking test (ispring quis maker test instrument), (2) observation sheet of scientific communication of students, and (3) documentation. Data in this study were analyzed using normalized gain values, one-party t-test, and analysis of students’ scientific communication skills. The results showed that: (1) students’ ability to think critically in learning using the Group Investigation model is better than Direct Instruction. (2) students who have high scientific communication skills are better at critical thinking.
Developing computer based test to assess students’ problem-solving in physics learning
Authors: Istiyono E , Dwandaru W S B , Permatasari A K , Aristiawan
Published: January 2020

This study was developmental research. The study was development of CBT based IRT to assess students’problem-solving(PhysTePSoS-CBT). PhysTePSoS-CBT was developed based on 4D model. The PhysTePSoS-CBT was assessed by three experts to know the feasibility of PhysTePSoS-CBT. The feasibility of PhysTePSoS-CBT was assessed in the aspectsof correctness, reliability, integrity, usability, interface, and navigation. Based on the assessment from the experts, all aspects of feasibility were in excellent category with an average percentage of 98%. So, it can be concluded that PhysTePSoS-CBT was valid and has good quality.
Applying CBT in physics learning to measure students’ higher order thinking skills
Authors: Istiyono E , Dwandaru W S B , Erfianti L , Astuti W
Published: January 2020

Development in science and technology that exist today can be optimized to be used as media in learning process, one example is in assessment of learning using computer based test (CBT). Higher order thinking skills (HOTS) are important aspects in physics learning. CBT is used to measure the HOTS (PhysTeHOTS-CBT). The subjects of the study are 251 students of class XI science program. The students’ HOTS by using PhysTeHOTS-CBT show 4.78% of students have very low category; 13.1% have low category, 60.9% have medium category, 9.16% have high category, and 11.9% have very high category. Based on the result of the study, the students’ HOTS are dominated in the medium category.
Development of assessment instruments to measure problem solving skills in senior high school
Authors: Astuti A T , Supahar  , Mundilarto  , Istiyono E
Published: January 2020

developed to measure students’ problem solving skills, (2) describe the achievement of students’ problem solving skills in SMA Negeri 6 Yogyakarta. The research design used is modification development research of Wilson models and Oriondo and Antonio models. The instrument consisted of 16 essay item that had been validated by measurement experts and practitioners. The sample consisted of 295 students in three high schools in Yogyakarta with high, low, and medium grades. The polytomus data were analyzed according to the partial credit model (PCM) 1 PL by Quest and Parscale application. Research result show that: (1) the developed test instrument in major of Work and Energy is qualified to measure students’ problem solving skills because it is proven to be valid and reliable, (2) the problem solving skills of students in SMA Negeri 6 Yogyakarta in major Work and Energy classified in high category with ranges of values θ between -1.27 to 2.81 and mean 0.82.
The use of iNaturalist on learning courses of zoology vertebrates for prospective biology teachers
Authors: Hernawati D , Chaidir D M , Meylani V
Published: January 2020

Applications based on the current living creatures are already a lot on the internet, but there are still few who utilize the application as a source of learning. This research aims to know the response of prospective biological teachers and effectiveness of iNaturalist applications. The research method used is qualitative descriptive. The population in this study is all students in Biology education department in one of university in East Priangan, Indonesia which contracted the course of zoology vertebrates of the academic year 2018/2019 with the sampling used is the total sampling. The data used in this research form the data of exploration of students to various surrounding animals in Tasikmalaya, both animals in the wild, zoos, and pets as well as student response questionnaires. The results showed that there were 5488 observations with the most uploaded animals,Felis domestica(234 Observations). The Data shows students tend to search for animals that are only around them and students do more observations in captivity. Despite this, the application contributes well to students, because with the application students learn more about the taxonomy of vertebrate’s animals and the opportunity to know with scientists and citizen science from various fields around the world.
The use of 3D software on plant anatomy courses for prospective Biology teachers
Authors: Suprapto P K , Chaidir D M , Ardiansyah R
Published: January 2020

The use of computer-based learning media is something that is commonly done in the era of the revolution industry 4.0 today. The aim of this research is to describe the results of three-dimensional images created using 3D Blender. The research method used is a descriptive research. the collected data of the results of the assessment of the creation of the three-dimensional tissue form in plants. The criteria created by students are viewed based on form, cell details, size, differentiation, layout and caption. The population in this study are prospective Biology teachers who took the courses of plant anatomy in the academic year 2018/2019 in Biology Education department, One of the universities in East Priangan, Indonesia. Sample research used only one class with sampling technique is purposive sampling, regarding their homogenous sampling of having the relatively same ability and enough computer specification. The results showed an average of the 3-dimensional form of the assessment made on the ground tissues (2.84), tissue vessels (2.68) and dermal tissues (3.32). The average value obtained by prospective Biology teachers tends to be low, it is due to lack of mastery of the concept and at least the time for training software use.
The influence problem-based-learning model assisted by games (Ludo) towards concept understanding of plant tissues
Authors: Rizkita V , Djukri
Published: January 2020

This study aims to investigate the increase in Problem-Based-Learning using games to improve students’ concept understanding of plant tissues. The game used in this study was Ludo completed with question cards. This research is a quasi experimental type with a pretest posttest control group design. This research conducted in SMA N 3 Bantul involving 2 sample groups, experimental and control groups. The samples was chosen using a purposive sampling technique. Data were collected through a written test using 20 multiple-choice questions. The result showed that PBL using Ludo completed with question cards managed to improve students’ concept understanding of plant tissues. That was proven by independent sample t-test with a significance level of <0.05, 0.007 <0.05. It implies that the students in the experimental group have a better concept understanding than control group. The average of experimental group pretest score was 60.88, while the posttest was 86.02 and the average of control group pretest score was 73.59 and posttest score was 80.
Analysis of science process skills in student worksheet on microorganism topics for senior high school
Authors: Widanti Y B R , Aloysius S
Published: January 2020

The research aimed to analyze the potency of science process skills (SPS) which developed in the student worksheet. This research was content analysis. The population of this research was student worksheet in Yogyakarta based on curriculum 2013. Samples were taken with a purposive sampling technique. The instrument of the data collection was an observation sheet science process skills (SPS) adapted from Rezba. Data of the research were analyzed using qualitative analysis techniques. The results of the research that 1) the science process skills (SPS) developed in student worksheet is basic science process skills (BSPS) and integrated science process skills (ISPS); 2) the basic science process skills (BSPS) that developed in biology worksheet is observing, inferring, classifying and communicating, while the integrated science process skills (ISPS) that developed in the worksheet is tabulating and graphing data, analyzing investigations, and experimenting. The science process skills (SPS) developed in student worksheet are in line with the type of science process skills (SPS) required in the formulation of the curriculum 2013 basic competencies.
TPS improving student understanding and collaborative activity in topic blood circulation system
Authors: Utami N H , Amintarti S
Published: January 2020

Science material is usually presented systematically and structured, Think Pair Share is one of the model that accommodates collaborative activities and directs students to work together in small groups with different abilities and social backgrounds. TPS is helpful in terms of improve student understanding, because there are activities to clarify and share ideas in pairs or groups. In addition, TPS supports collaboration activities between students and teachers. The research aims to improve understanding of concepts and describe collaborative activities related to learning using TPS in blood circulation system. This research is a classroom action research conducted during two research cycles. Data were analyzed descriptive. Based on the results of the study showed that there was an increase in student understanding in each cycle, namely in cycle I by 73.18 and cycle II by 80.56 while based on the average collaboration activity is better.
The use of android media in improving students’ motivation in learning sports physiology
Authors: Adrizal M , Guntur  , Pahlifi D M
Published: January 2020

Android-based applications are being used in education research. In the lectures on Sports Physiology, especially on the material of the human respiratory system, there is complex range of material accompanied by terms in Latin or scientific language that are difficult to understand. Students experience difficulties and feel bored in taking part in Sports Physiology lectures, especially in understanding the scope of the complex material about the human respiratory system with conventional learning methods. The purpose of this study is to determine the effect of the application of learning media in sports physiology based on android to increase student learning motivation on the material of human respiratory system. The questionnaire was used as an instrument in this research. This research uses a design of pretest-posttest control group. The subjects in this research were students of sports coaching education at Yogyakarta State University which consisted of two groups, namely the control class and experimental class. The scores obtained were then analyzed using independent sample t-test to discover the increase in students learning motivation, between the control class and the experimental class. The results of this research indicate that Android-based sports physiology learning media has provided a significant influence on improving student motivation.