bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of problem-based learning model toward students’ conceptual understanding and verbal communication skills in reaction rate learning
Authors: Satrio Nangku Marsianus , Rohaeti Eli 
Published: December 2019

Abstract
This quasi-experimental study aims to determine the effect of applying Problem Based Learning (PBL) model toward students’ conceptual understanding and verbal skills in learning reaction rate materials. It is designed using posttest only control group design subjecting the students of SMAN 1 Poco Ranaka. The PBL model was applied to the experimental class while 5E Learning Cycle model was treated for the control class. The data was collected using the observation sheet of verbal communication skills, posttest of students’ conceptual understanding, and the questionnaire of students’ response to the application PBL model. The data of observation and posttest, analyzed using MANOVA, revealed the significant effect of applying PBL model toward students’ conceptual understanding and verbal communication skills with P = 0.000 < 0.05 of significance level. The percentage of contribution given by PBL model to the improvement of students’ conceptual understanding and verbal communication skills was also analyzed. The percentage of contribution of PBL model to the improvement of students’ conceptual understanding and verbal communication skills was, respectively, 22.26% and 33.17%, both with P = 0.000 < 0.05 of significance level. This shows the positive effect of applying PBL model on the two variables, though still in low and medium category of contribution. The result of questionnaire analysis using quantitative descriptive, students give positive response to the application of PBL model. Thus, it is concluded that the application of PBL model effects positively to the student’s conceptual understanding as well as verbal communication skills.
Exploration of pre-service chemistry teacher’s ability in constructing context-based content representation on electrochemistry topic
Authors: Wiyarsi A , Sutrisno H , Rohaeti E 
Published: December 2019

AbstractThe study aims to explore the pre-service chemistry teacher ability in constructing context-based Content Representation on Electrochemistry topic (Cb-CoRe-E). Due to the exploration of pre-service chemistry teacher ability in constructing Cb-CoRe-E, this research adopted a descriptive study with quantitative approach. A total of 20 pre-service chemistry teacher enrolled on Curriculum course were the subject of this research. The data of pre-service chemistry teacher ability in constructing Cb-CoRe-E were collected according to the document which consist a questions on pedagogical aspect. As many as 9 indicators were used as a references to be explored the pre-service chemistry teacher ability in constructing Cb-CoRe-E. The data of pre-service chemistry teacher ability were analysed according to descriptive quantitative technique by classifying the mean score obtained into five categories from very good to bad. The result of this study showed that the pre-service chemistry teacher ability in constructing Cb-CoRe-E was good. It can be concluded that pre-service chemistry teacher were ready to conducted a good chemistry learning. The pre-service chemistry teacher in the future is expected applying CoRe in every learning to promote students’chemistry meaningful learning.
The Effect of a Macromedia Flash-based Guided Inquiry on Students’ Critical Thinking Skill and Self-Regulated Learning
Authors: Jainal Srireski , Supiah Yosephine Louise Isana 
Published: December 2019

Abstract
This study aims to determine the effect of a macromedia flash-based guided inquiry model on students’ critical thinking skill and self-regulated learning. This study was a quasi-experiment, with a post-test only group design. The subjects were 96 eleventh-graders of divided into two groups. Fifty students in the experimental group used macromedia flash-based guided inquiry model and 46 students in the control group used direct instruction model. Data collection techniques were a test of critical thinking skill consisting seven essay questions to see students’ critical thinking skill and a questionnaire of self-regulated learning consisting 33 statements to see students’ self-regulated learning. The data were analyzed using MANOVA. The results showed that students taught with macromedia flash-based guided inquiry model have a statistically difference on their critical thinking skill and self-regulated learning at significance level 0.05 while students taught with direct instruction model showed critical thinking at lower level. In conclusion, a macromedia flash-based guided inquiry model can improve students’ critical thinking skill and students’ self-regulated learning.
Effects of use 3D visualization virtual reality to increase scientific attitudes and cognitive learning achievement
Authors: Bakar Ika Setiawati A , Sugiyarto K H , Ikhsan J 
Published: December 2019

Abstract
This study was conducted to analyze the effect of the use of 3D visualization media with virtual reality on the achievement of cognitive learning and scientific attitudes of students on chemical equilibrium topic. This study was a quasi-experimental with only posttest design with the subject of research in class XI of State High School of Ternate consisting of 31 students for the experimental class and 27 students for the control class. Collecting cognitive learning achievement data with test and scientific attitudes using questionnaires. The statistical analysis used was MANOVA to measure differences in cognitive learning achievement and scientific attitudes of experimental and control class students. The results showed a significant difference in cognitive learning achievement and scientific attitudes between classes using virtual 3D visualization media and discovery learning models with classes that only use discovery learning models. The implementation of practicum using 3D visualization media with virtual reality can provide opportunities to students to learn about the implementation of the practicum that they design by themselves.
Developing Chamilo-Based E-Learning in Environmental Change Material to Enhance Students’ Scientific Literacy Skills
Authors: Astriawati F. , Djukri  
Published: December 2019

Abstract
The main goal of learning science today is the realization of learners who are literate in science. Unfortunately, Indonesian scientific literacy skill is still low based on the assessment of OECD for three evaluation periods. Therefore this study aims to produce an electronic-based learning system in learning science using LMS Chamilo which is intended to enhance students’ scientific literacy skills. This study is research and development (R & D) using the ADDIE model. Research findings indicated that (1) the Chamilo-based e-learning was feasible to implement in biology teaching based on experts judgment with a total score of 3.83 (very good) from environmental material expert and 3.22 (good) from learning media expert; (2) the Chamilo-based e-learning was accepted very well by users with a total score of 3.78 (very good) from biology teachers and 3.36 (very good) from students; (3) the Chamilo-based e-learning was effective in enhancing students’ scientific literacy skills with n gain score of 0.74 (high criteria). Based on the results, it can be concluded that Chamilo-based e-learning is recommended to implement and to use in the biology learning process.
Estimation of type I censored exponential distribution parameters using objective bayesian and bootstrap methods (case study of chronic kidney failure patients)
Authors: Wiranto A , Kurniawan A , Fitria D A , Suliyanto  , Chamidah N 
Published: December 2019

AbstractBayesian point estimation is an estimation method based on prior selection and loss function. In Objective Bayesian estimation are chosen prior to Jeffrey and used intrinsic discrepancy loss functions based on the Kullback-Leibler divergence equation which will have a minimum effect of data on the posterior distribution. The objective Bayesian point estimator provides estimates of population parameters based solely on the assumed population distribution and data. The goal of this paper is to estimate parameters from the exponential distribution on type II censored data using the objective Bayesian and bootstrap methods. The bootstrap method is used to resampling and built a confidence intervals for parameters whhich will be estimated. The methods were applied on the life-time data of 63 patients of chronic renal failure and the initial diagnosis was non-diabetic disease with bootstrap methods using 10, 100, and 1000 times used in this study. So that the bigger bootstrap samples rendered the estimated value θ̂ will be better and the result confidence interval ranges narrower.
Locally stability analysis of the Phytoplankton-Nitrogen- Phosphate-Sediment dynamical system: A study case at Karimunjawa aquaculture system, Central Java
Authors: Triyana E , Widowati  , Putro S P 
Published: December 2019

Abstract
Disturbance of water environment due to organic enrichment by fish activities may result in the reduction of water quality and sediments. The relative importance of N and P limitation and released from organic sediment is still an open question. The aim of this paper is to analyze the locally asymptotic stable from a dynamical system model in the equilibrium of water ecosystem. Mathematical models are resultant of interaction among four main variables. i.e.nitrogen and phosphate concentration, phytoplankton abundance, and sediment in the water ecosystem at Menjangan Besar, Karimunjawa islands. The four variables are non-linear system differential equation that will form the dynamical system mathematical model. Local stability was determined by using Taylor series and Jacobian matrix. The system will be locally asymptotically stable if eigenvalues are negative. Numerical simulation was used to analyze the dynamic behavior of the system. From numerical simulation results base, it is concluded that equilibrium points. Because all eigenvalues of the Jacobian matrix ware negative, the dynamic system model was locally asymptotically stable.
Modeling of hypertension risk factors using local linear of additive nonparametric logistic regression
Authors: Ana E , Chamidah N , Andriani P , Lestari B 
Published: December 2019

Abstract
Hypertension has become a serious health problem in Indonesia because of its prevalence, however, the causative factors could not be ascertained for about ninety percent of the patients. Various studies have found several risk factors causing hypertension to be obesity, family history, stress levels, heart rate, and an unhealthy lifestyle. In this case, the variables are considered influential on hypertension through a regression curve without a specific pattern. Also, we need to describe the functional relationships between several predictor variables with binary or dichotomous response variables and need to describe locally effect of predictor variables to the response variable. Therefore, in this study, to model the case of hypertension by age, body mass index, heart rate, stress levels we use the additive nonparametric logistic regression approach based on local linear estimators. The results of the study showed that hypertension was most prevalent among respondents over 65 years of age with BMI between 25-30 kg/m2 (obesity) and normal heart rate (60-100) bpm and most of them were found to be experiencing mild stress conditions. The model obtained a classification accuracy of 95 percent (in-sample) and 89.47 percent (out-sample) with a cut off probability value of 0.4.
Modeling Poverty Percentages in the Papua Islands using Fourier Series in Nonparametric Regression Multivariable
Authors: Mariati N P A M , Budiantara I N , Ratnasari V 
Published: December 2019

AbstractNonparametric regression has high flexibility in estimating the regression curve. Estimation techniques that are quite popular in nonparametric regression are Fourier Series estimators. Fourier series are trigonometric polynomials that have flexibility, so they can adapt effectively to the local nature of data. This Fourier series estimator is generally used if the data investigated by the pattern is unknown and there is a tendency for repetitive patterns to follow the trend line. The purpose of this study is to examine Fourier Series estimates and apply to cases of poverty in the Papua Islands. The Papua Islands which consist of 2 Provinces namely Papua Province and West Papua Province. Papua Province ranked first and West Papua Province ranked second in poverty in Indonesia. Based on nonparametric regression multivariable modeling using Fourier series, this model is good. This can be seen from the value obtained by Generalized Cross Validation (GCV) = 80, 76, Mean Square Error (MSE) is 18, 31 and R2=78, 16%.
Valuation risk adjusted deposit insurance on heston model
Authors: Hariati N , Yunus M , Putri E R M 
Published: December 2019

Abstract
Deposit insurance is a tool to stabilize the banking system. In managing deposit insurance in Indonesia, deposit insurance agency applies the flat rate premiun system which is the same premium imposition system for each bank without taking into account the different risk levels of each bank. The implementation of the flat rate, it can still cause moral hazard which can trigger the monetary crisis. To anticipate this problem, it is necessary to design a risk adjusted premium. One of method that can be used in determining deposit insurance premium is Fourier transform. In this study, we analyzed analytical solutions to determine risk adjusted deposit insurance premiums on Heston Model by using Fourier transforms. Based on the simulation results, it was found that the amount of volatility caused the value of deposit insurance premiums getting bigger, the smaller value of interest rates so the greater value of deposit insurance premiums. The high value of deposit insurance premiums is also influenced by the value of debt obligations and dividends value.
Creation of digital risk doubles using motion capture and photogrammetry for computer-generated imagery content
Authors: Silva-Bolivar G J , Reyes Muñoz C A , Londoño-Marín S , Castro-Maldonado J J 
Published: December 2019

Abstract
In Colombia, the audiovisual industry has grown exponentially thanks to the policies on the orange economy, which seeks to impact the level of development in the artistic, cultural, and information and communication technologies sectors. In order to realize as a power in this sector worldwide, Colombia advances rapidly in the strengthening of the industry, venturing into the implementation of new technologies in special effects and post-production processes. In the flow of current film production, digital doubles, digital clones of the actor that allow dubbing for risky scenes, characters with particular aesthetics or actors that cannot be present in the set. The film industry has adopted in order to reduce the risks in the times of work of the actors, the reduction of the risks in the scenes of action and the decrease of the costs in the make-up and the utility. This article shows the process of developing a digital double in computer-generated imagery techniques, and how to achieve that digital realism that allows to pass, unnoticed dubbing, in order to socialize the industry knowledge and explore this type of innovations in their processes, following a sequential methodology from its conception to its conception.
Gold nanoparticles size distribution by pulsed laser varying the wavelength
Authors: Arévalo A C , Quintero J H , Rincón S A , Rodriguez J , Ospina R 
Published: December 2019

Abstract
In this work the influence of the wavelength variation of a pulsed laser on the size distribution of gold nanoparticles, synthesized by laser ablation in liquid medium, was determined, since this technique is the most used due to its simplicity as it is not developed under strict conditions of temperature, pressure, agitation, etc. Three different wavelengths were used: (i) 532 nm, (ii) 355 nm and (iii) 266 nm, due to equipment restrictions. The distributions and sizes of nanoparticles were studied by dynamic light scattering, scanning electron microscopy and atomic force microscopy. In addition, it is shown that the spectra of the gold region determine the chemical state of the nanoparticle. The results showed that the smallest particle size was obtained with the wavelength of 266 nm with a size of 9.6 nm, while for the other wavelengths; sizes of 55.4 nm and 77.3 nm were obtained respectively. Thus, smallest average diameter of gold nanoparticles was obtained with smallest wavelength.
Design and Realization of A Low Cost Clinometer based on ADXL345 Sensor, Ultrasonic Sensor, and Android based Smartphone
Authors: Najmurrokhman A , Kusnandar  , Komarudin U , Annas A M , Rahim R 
Published: December 2019

Abstract
Manually height measurement using a measuring instrument with a limited scale range can hamper the performance of building construction activities. To deal with this problem, a device is needed to be able to measure the height of the building more quickly, has a larger measuring limit, and is easy to use on the measurement of the inner building that is on a flat plane. This paper describes a prototype of clinometer using ADXL345 accelerometer sensors connected to Android-based smartphones. Other components that build this system are HC-SR04 ultrasonic sensor, HC-05 bluetooth module, and Arduino Uno microcontroller. The proposed system is able to connect with Android-based smartphones through the connection of the HC-05 bluetooth module, retrieving distance data through ultrasonic sensor readings and elevation angle data via the ADXL345 sensor, sending or receiving data from an Android smartphone to Arduino and vice versa, calculating the approximate height, and display it on the Android based smartphone. Experimental results show that applications installed in Android-based smartphone can display the results of approximate height. The proposed instrument can quickly calculate the approximate height of a building with an error percentage of 2.5 %. The maximum distance from the proposed instrument to the building is 1.75 m.
Electromyography (EMG) signal classification for wrist movement using naïve bayes classifier
Authors: Putra D S , Ihsan M A , Kuraesin A D , Mustakim  , Achmad Daengs G. S , Iswara I B A I 
Published: December 2019

Abstract
Electromyography (EMG) signal is an myoelectric signal in the muscle layer. It occurs caused by contraction and relaxation muscle activity. This article provide numerical study of the classifying the electromyography signal for wrist movement combined with open and grasping finger flexor. The EMG signal has recorded using a device called electromyography. It has acquired by attaching an surface electrode in the skin then the electrode was capturing the raw signal. The volunteer involved were six where each volunteer has ten datasets the EMG signal. The surface electrode are sticked in the lower arm muscle. The EMG raw signal was processed using zero-mean normalization. The feature extraction method is root mean square (rms), mean absolute value (mav), variance (var), and standard deviation (std). This EMG signal has been classified by naïve bayes classifier. Training and testing data was using 5-cross validation. The result indicates that the classification accuracy for classifying the EMG signal for wrist movement combined open finger flexor (OFF) and grasping finger flexor (GFF) is 70% and 75% respectively. Therefore, the EMG signal can be applied for identificating of muscle disorder, prostheses hand and biometric system.
An Integrated Multi Criteria Decision Making Method For Fashion Selection
Authors: Hadi Nasyuha Asyahri , Zulham  , Jang Cik Idi , Amin Muhammad , Candra Setia Sigit , Siregar Dodi 
Published: December 2019

Abstract
ZOOM Fashion is a business engaged in the sale of clothing, which is currently undergoing development and is in great demand in the community. In these companie, performance improvements are needed, so companies must be more careful in buying clothes to be resold in order to find out which clothes are of high quality. TOPSIS uses the principle that the chosen alternative must have the closest distance from the positive ideal solution and the longest distance from the negative ideal solution from a geometric point of view by using the distance between two points to determine the relative proximity of an alternative. this method is very well used for the completion of fashion selection. this research is expected to help in determining quality clothing in accordance with the fashion needed at this time, so that the existence of this system makes it easy to find out the needs of the community in the field of clothing.
Model of Higher Education Quality Improvement in Indonesia: Relationship between HRM and Information Technology Literacy
Authors: Susanti Santi , Natalia Van Harling Vina , Kurniawan Muh. Ardian , Rusdin  , Asdi  , Halim Perdana Kusuma Putra Aditya 
Published: December 2019

Abstract
The purpose of this study was to produce a model for improving lecturer performance by revitalizing the components of competence, motivation, and information technology literacy. The object of this study took a sample of 160 lecturers from various private universities in the city of Makassar whose scientific fields concentrated on informatics and computer management. The use of mediation models is done using AMOS. Results of this study also state that the high competence of lecturers has not been able to contribute significantly to the improvement of information technology literacy. Low motivation does not contribute to improving information technology literacy. Competence and motivation, as well as information technology literacy, proved to be able to help significantly in improving the performance of lecturers. Besides that, information technology literacy is not able to show its role in explaining the influence of competence and motivation on the performance of lecturers. The novelty of this research is the addition of information technology literacy components as a model to improve lecturers’ performance in Higher Education.
Simulation of Robot Arm for Diabetes Mellitus Patients
Authors: Subekti  , Budi Setiawan Aan , Hammid Abdul 
Published: December 2019

Abstract
Diabetes is caused by metabolic disorders. The treatment is to control blood sugar levels which can be done with non-pharmacological therapy, namely reflexology. The intensity of therapy continuously carried out will speed up the healing process of diabetes. On this basis, we simulated a robotic arm for reflexology treatment for diabetics. The robotic arm system used was five degree of freedom, which used 5 servo motors in the design. The simulation results show that σmaterial ≥ σstructure, so it can be concluded that the material used is rigid and strong to withstand the loads acting on the robot arm structure. While the magnitude of M1 servo motor torque is 2502 Nmm, M2 is 7492 Nmm, M3 is 7492 Nmm, M4 is 6934 Nmm and M5 is 4351 Nmm. In designing the robot arm, 1,2,3,4 servo motors used 8000 Nmm of torque, and 5 servo motors used 4500 Nmm of torque, so the servo motor used was safe to hold the torque on the robot arm.