bluuebunny/crossref_metadata_2025_split huggingface dataset:
Misconception Analysis Based on Feedback of Computational Thinking Result of College Students
Authors: Masfuah S , Fakhriyah F 
Published: December 2019

AbstractThis research has purposes to analyse misconceptions of college students based on feedback of their computational thinking test. This descriptive quantitative research involves fourth semester college students of 4C class of primary school education teacher program by using random sampling. The instruments are test instrument consisting of computational thinking indicators and questionnaires semi structured to identify and analyse of factor causing misconception of the students. The results were then analysed descriptively by using cluster analysis and crosschecked to questionnaire and interview results. The findings show computational thinking of the students was within algorithm stage meanwhile misconception is found in movement system material. The causal reasons of the misconception are grouped into 3 clusters. Cluster 1, the students have already understood the concept but their misconception is 33.3%. Cluster 2, misconception of the students is 38.1%. Cluster 3, the students have not understood the concept with percentage 28.6%. The contributing factors to misconception are students’ arguments that animals/plants have similar natures to human, handbook, lecturer’s explanation, scientific name, mathematics calculation, formula, graphic understanding, influences of peer in answering, and students’ experiences in daily life.
Synthesis of birnessite-type manganese oxide from two different reducing agents via solvent-free method and the catalytic activity in degradation of POME
Authors: Awaluddin A , Muhdarina  , Chaerani W , Pratiwi M A , Siregar S S 
Published: December 2019

Abstract
Birnessite-type manganese oxide is multifunction material that has been used in various application and the characteristic depends heavily upon its preparation method. In this study, birnessite-type manganese oxide was synthesized using the reaction between KMnO4 (oxidant) and two different reducing agents i.e., citric acid and oxalic acid via a solvent-free method. The characterization of the birnessite was carried out using X-Ray Diffraction (XRD), Scanning Electron Microscopy-Energy Dispersive X-ray Spectroscopy (SEM-EDX), and Surface Area Analyzer (SAA). Birnessite from this variation of reducing agents showed different levels of crystallinity, diverse morphology, crystal size, and surface area. The birnessite-type was then applied as a catalyst for the degradation of Palm Oil Mill Effluent (POME) with hydrogen peroxide (H2O2) as an oxidant to reduce the concentrations of Chemical Oxygen Demand (COD). The maximum reduction in COD concentration was obtained using the catalyst concentration of 400 and 800 mg/L for reducing agent of as-synthesized catalyst citric acid and oxalic acid. Birnessite-type manganese oxide shows potential as a catalyst in the degradation of POME with citric acid as reducing agents showed better degradation in reducing COD values.
Developing an android-based application (AVALIMA) for chemical literacy evaluation
Authors: Priyambodo Erfan , Ratnaningtyas Eka Nugraheni Anggiyani , Wiyarsi Antuni , Dina  , Lathifa Husna Dini 
Published: December 2019

Abstract
The aim of this research is to determine the feasibility and perceptions of teachers and students about AVALIMA, a based on android application, as a chemical literacy evaluation media. AVALIMA was developed by taking the first stage of 4D model, that is define, design, and develop without disseminate. The initial product of AVALIMA was reviewers by material expert, media expert, and peer reviewers. Furthermore, AVALIMA was also assessed by five chemistry teachers by regarding to six aspects, namely material, science literacy, construction, language, visual appearance, and program performance. AVALIMA was also tried out to ten students in the eleventh grade. The result of the analysis shows that AVALIMA is a good android-based media that can be used to evaluate chemical literacy. According to the reviewers, the application is 88.2% appropriate to be used to evaluate chemical literacy. Meanwhile, according to the students’ response in using this media, it is 86.31% appropriate to be used as media to evaluate their chemical literacy. The teacher’s and the students’ perception toward the application is also very good.
Isolation And Characterization Of Lactic Acid Bacteria (Lab) From Small Intestine Content Of Duck (Anas Sp.) As A Probiotic Candidate
Authors: Nurcahyo Heru , Suyanta  , Dale Abdollah , Yudha Alif Furqon Fadholi 
Published: December 2019

Abstract
A group of lactic acid bacteria (LAB) as a probiotic agent have been known to have a beneficial effect on health chicken. The objectives of this study were to isolate, characterize and determine of the LAB which originated from the small intestine content of domestic duck (Anas sp.) for candidate of probiotic. Isolation, selection and identification of bacteria was done using de Man Rogosa Sharpe (MRS) agar + 1% bromocresol purple. Characterization of bacteria based on morphological by Gram staining methods, and identification of biochemical characters using catalase activity, and Triple Sugar Iron Agar (TSIA). The data of isolate confirmed to Bergey’s Manual of Systematic Bacteriology. This research carried out on the Microbiology Laboratory, Microbiology Study Program, Yala Radjabhat University (YRU), Faculty of Science and Agriculture.
The results showed that according to physiological and biochemical characteristics in various media, the bacteria had Gram +, catalase -, coccus in shape, and were able to ferment glucose to be lactic acid. Based on the result, it is concluded that the LAB isolate shows a similar characteristic to the member of genus Lactobacillus sp. The isolated bacteria shows characteristic resistance to acidic pH and bile salts so the bacteria were fulfilled as a probiotic candidate.
Developing A Learning Continuum of Biological Resources Management Aspect from Elementary School to Senior High School Based on The Experts’ Opinions
Authors: Kusumawati M. U. , Subali B. , Paidi  
Published: December 2019

Abstract
This study aims to determine the experts’ opinions and the design of the learning continuum on aspects of biological resource management reviewed at the level of competence and characteristics of specific pedagogical material from elementary to high school. The method used in this research was survey by giving questionnaire to the experts. The sample of this study is convenience sample, which is 85 lecturers. This research was conducted at several State and Private Universities in the Special Region of Yogyakarta, Central Java, East Java, West Java, Jakarta. Results of this study indicate that the experts believe that the aspect of biological resource management has been taught in the tenth grade of senior high school (SHS) with cognitive levels (CL) “understanding” (C2) and “applying” (C3), and in seventh grade junior high school (JHS) with C2 CL. The design of learning continuum aspects of the management of biological resources from the FGD results based on the opinions of experts is that most of the specific pedagogical materials have begun to be taught at the JHS level with C2 CL, then continued at the SHS level with C3 CL, and there are also some specific pedagogic materials that have begun to be taught at the SHS level with C3 CL.
Clustering with spatial constraints: The case of diarrhea in Bandung city, Indonesia
Authors: Jaya I G N M , Ruchjana B N , Andriyana Y , Agata R 
Published: December 2019

Abstract
Clustering with spatial constraints was introduced in disease surveillance to identify high/low risk areas. These improve the geographical pattern of disease clustering. There are two types of spatial constraints, geographical distance and contiguity based. A Ward-like hierarchical clustering algorithm, including the spatial constraints, was employed on diarrheal data in Bandung city. Diarrhea is an infectious disease that causes death. The geographical distance was the best geographical dissimilarity for the diarrheal disease data. A five-cluster solution was determined to be optimal. Cluster two, which consists of three districts (Cibiru, Cinambo, Mandalajati), was considered as a high-risk cluster. It scored high on standardized incidence ratio which is caused by low on healthy house index and water quality index.
Comparing the Performance of Seasonal ARIMAX Model and Nonparametric Regression Model in Predicting Claim Reserve of Education Insurance
Authors: Ulyah S M , Mardianto M F F , Sediono  
Published: December 2019

Abstract
One of the biggest problems in the continuity of one’s education is the education fee which is often unaffordable. Therefore, the existence of education insurance is a solution to this problem. Along with increasing public interest in education insurance, insurance companies need to adjust the claims reserves with the number of claims paid to maintain the company’s capital. Claim reserves are funds that must be provided by insurance companies to fulfil obligations to policy holders in the future. Losses and inaccuracies in the payment of insurance claims will result in the policy holder and the insurance company itself. Therefore, it is necessary to do a prediction of insurance company’s monthly reserve claims. In education insurance, the claim reserve data has seasonal characteristics and the number of educational insurance claims tends to increase at the turn of the school year. These fluctuating patterns are supposed to fit the application of the SARIMA model and the nonparametric regression model with the Fourier series estimator in forecasting. Fourier series is a function that has flexibility in approaching fluctuating, seasonal, and recurring data patterns. The results showed that the prediction accuracy of the SARIMAX model was higher than the nonparametric regression model with MAPE of 15% and 4% respectively.
The Effect of Problem Based Learning on Mathematical Critical Thinking Skills of Junior High School Students
Authors: Yolanda Fitriana 
Published: December 2019

Abstract
This research aims to know the effect of problem based learning on mathematical critical thinking skills of junior high school students. This research is a quasi-experimental study with a non-equivalent control group design. This research was carried out in class VIII in one of the junior high school in Bandung, West Java Province, academic year 2014/2015 on relations and functions. Determination of the sample was conducted with purposive sampling and two classes were selected as the research sample, namely class VIII.C as the experimental class that received problem based learning and class VIII.F as the control class that received learning with the scientific approach. The results showed that the average post-test for problem based learning was 42.16 and the average posttest of the learning class with a scientific approach was 35.27. Then after being analyzed using the t-test obtained a significance value of 0.024 < 0.05. It can be concluded that there is an effect of problem based learning on mathematical critical thinking skills of junior high school students.
Analysis of The Difficulty of VIIIth Grade Junior High School Students in Circle Material Reviewed from The Mathematics Connection Ability
Authors: Kusuma Wijayanti Indra , Maman Abadi Agus 
Published: December 2019

Abstract
This study aims to analyze the difficulty of VIIIth grade junior high school students in circle material reviewed from mathematical connection ability. The method used in this research is descriptive qualitative with a case study approach. The subjects in this study were 23 eight grade in one of the junior high schools in Temanggung. Data collection is done by tests and interviews. The instrument used in this study are 3 questions about the material related to the Circle and interview guide to know where the students’ difficulties are. The results of data analysis showed students varied mathematical connection skills; some students belong to the high category while others are in the medium or low category. However, student’s ability to connect inter-mathematical concepts and apply mathematical concepts in solving daily problems are in the low category with 43.47% and 53.26%. The low mathematical connection ability of students is indicated by the low percentage of students who give correct answers, the low percentage on each indicator of mathematical connections, and errors made by students. Mistakes made by students show the difficulties experienced by students. The difficulty that is generally expressed by students is the difficulty of understanding the problem and the difficulty of determining the formula or theorem used to solve the problem.
Students metacognitive skill in learning mathematics through cooperative based emotional intelligence
Authors: Ilyas M , Ma’rufi  , Basir F 
Published: December 2019

Abstract
This type of research is quasi-experimental research which aims to determine whether mathematics learning through cooperative based emotional intelligence can improve the metacognitive skills of students Class X MIA SMAN 4 Palopo. The experimental design was one group pretest-posttest design. The population in this study were all class X SMAN 4 Palopo whose samples were determined using purposive sampling technique. The instrument of this study used a test of metacognitive skills and emotional intelligence questionnaire which were then analyzed with descriptive statistics and inferential statistics. The results of this study indicate that the average of students’ metacognitive skills is 85.67 and the results of hypothesis testing indicate that there is an increase of students’ metacognitive skills in learning mathematics through cooperative based emotional intelligence.
How Students Build Their Mathematical Dispositions towards Solving Contextual and Abstract Mathematics Problems
Authors: Sa’diyah Mukhtamilatus , Sa’dijah Cholis , Sisworo  , Handayani UcikFitri 
Published: December 2019

Abstract
Mathematical dispositions affect students’ performance when studying mathematics. Teachers should have high awareness of students’ mathematical dispositions when solving mathematical problems. This research identifies students’ viewpoints about problems in mathematics. Understanding students’ viewpoints would assist teachers to elevate students’ mathematical dispositions by developing more efficient test items. This is a case study research using qualitative method, of which students who have high motivation in learning mathematics were asked to answer questions related to their mathematical dispositions. Three main focuses observed on this research were students’ perceptions, attitudes, and efforts. The data show that the students build their mathematical dispositions through some process. Although they have mathematical dispositions, their preference in mathematics problems is different. Most of the students prefer solving abstract problem while others prefer solving contextual problems. This difference affected their performance in solving mathematics problems. This means that teachers should pay more attention to the form and level of problems given to the students, so that students would have less effort to understand the problems and emphasize their works by thinking more deeply when solving problems.
The characteristics of final mathematics test items based on classical test theory
Authors: Panjaitan A T , Retnawati H 
Published: December 2019

Abstract
Final Examination is the part of an evaluation that exists in school to assess student’s knowledge. This research aimed to show the characteristic of the final mathematics test in Junior High school, grade 8. This research was an explorative descriptive using a quantitative approach. Data collection was gathered using the documentation of mathematics’ test in Binjai, North Sumatera including student’s answers. The characteristics of test items were analyzed by expert judgment using the classical test theory approach. The average of content analysis was 0.81, there were three items without key answers so it can not be analyzed. The reliability average was 0.84 which has very good quality and difficulty index indicated the difficulty level of questions was on three categories (easy, moderate, and difficult). The difficulty is in the cartesian position, the relation of two sets, determining gradient, determining the solution of linear equation systems of two variables.
Open and low consumption platform for analysis of distributed data
Authors: Bolaño-Gonzalez J Y , Serna-Lopez G A 
Published: December 2019

Abstract
Parallel programming is a computing model in which the computations are run on multiple processors simultaneously. In this work, a parallel computing system is implemented through the network connection of a set of Raspberry Pi Cluster 3 boards, using 4 nodes (one master and three slaves) that acts as a single computer with improved processing speed. A Linux based operating system, Raspbian is used in the present work, our purpose is to provide an economical, scalable, powerful, mobile architecture and especially low energy consumption as an alternative to the use of high performance computing to execute Python code distributed from the Jupyter notebook platform. The main contribution of this work is the configuration of the cluster to be able to execute some learning machines.
Development of an interactive tool for soft skills enhancement in people with mild cognitive disabilities
Authors: Viana-Rúa N E , Arenas-Becerra L Y , Patiño-Murillo J A 
Published: December 2019

Abstract
Audio-visual tools make learning and retention of knowledge much more practical and dynamic, both for people with special educational needs and for most of the student population, because human beings tend to be more receptive to visual and auditory references about any subject. For this reason, this research proposed the development of a digital booklet to strengthen the soft skills of people with mild cognitive disabilities since these persons have more significant adaptive difficulties limiting their interaction in different activities and environments. At first, a documentary search allowed the delimitation of the problematic area in general. After the selection of the target population, different techniques and instruments were applied to know in detail the real conditions and learning needs of the selected sample. The obtained information led to the characterization of the population under study and the classification of their learning needs. The analysis delivered the design and structural requirements of the booklet, in the form of partial results leading to the next research stage to develop the prototype of the primer.
Photogrammetry for the reconstruction of realistic visual landscapes that serve for the creation of scenographies in audiovisual and multimedia products
Authors: Silva-Bolíva J , Silva-Bolívar G J , Cataño-Ospina A M , Arenas-Becerra L Y 
Published: December 2019

Abstract
Photogrammetry is a technique that allows the construction of hyperrealistic 3D objects. Currently, its use in the audiovisual industry has become an option to lower production budgets that are linked to art and equipment displacement, but the greatest opportunity is the creation of scenographies that simulate realistic and geolocalized visual landscapes, to starting from thinking about the details that make a space have determining characteristics and structures. Community intervention shapes a place to give it a unique look. In that case, the use of photogrammetry transcends the fact of creating places to recreate them from a city, a place or a time, based on the characteristics of the site. Recognizing this, an analysis and search of the elements that characterize Medellin, Colombia and that are necessary for the construction of a digital scenography has begun. Thus, the objective of this article is to describe the analysis that subsequently led to the theoretical construction of the visual landscape and its elevation in photogrammetry. Among the most relevant results of this research is the creation of a methodology for taking photogrammetry for the creation of scenery.
Macroscopic pest detection system for aromatic herbs in post-harvest stage using computer vision and neural networks techniques
Authors: Lenis-Martinez L , Ossa-Montoya A , Villar-Vega H F 
Published: December 2019

Abstract
Worldwide consumption of aromatic herbs has increased in recent years, which has led to an increase in the areas of cultivation and exports of these plants in producing countries. Within the production chain of these herbs, phytosanitary control is a requirement for the quality assurance and exports of the product. Pests cause damage in the plants, not only in the crop but also after the harvest. According to the regulatory authorities, who conduct inspections for pests, bad phytosanitary practices lead to the return of the product from the port to its origin or destruction in the country of destination. This results in an economic loss to the producer and exporter of the plant. One of the aromatic herbs with the highest level of production and export in Colombian market is thyme (Thymus). This work presents a support system for detecting macroscopic pests in thyme using computer vision techniques and neural networks. The main contribution of this work focuses on product classification between free and not free for pest in the postharvest process.
Computer forensic analysis protocols review focused on digital evidence recovery in hard disks devices
Authors: Villar-Vega H F , Perez-Lopez L F , Moreno-Sanchez J 
Published: December 2019

Abstract
Fourth Industrial Revolution includes cybersecurity as a key technology, given the increase in the number of devices connected to the Internet, the volume of relevant information available and the incidence of cybercrime on them. Among the lines of study of cybersecurity appears the computer forensic analysis, which seeks to reveal and analyze information in systems based on an analysis of digital evidence. This process involves a series of phases that ensure the integrity of the sources of information from beginning to end. Occupational studies in the area show a deficit of qualified and qualified personnel to cover the demand of processes related to this topic. In order to close this gap, the National Learning Service at Services and Business Management Center implements the Digital Forensic Laboratory. In this paper, workflows of computer forensic analysis procedures described in scientific documents are analyzed and a proposal of a protocol applicable to the laboratory is presented, which allows to rescue digital evidences of hard disks. A six-step procedure is proposed, ranging from the diagnosis of the case, to the presentation of results, through the collection of evidence, the copies of files, the analysis of data and the extraction of information.
Electromagnetic field and numerical analysis in two dimensions and its interaction in biological tissue
Authors: Mesa F , Ospina R , Correa G 
Published: December 2019

Abstract
This paper consists in transferring Maxwell’s differential equations to a discrete spatial and temporal formulation that allows coding them and implementing them in an algorithm that provides a numerical solution which provides a visual overview of the physical behavior of electromagnetic waves for two dimensions. This technique provides a tool capable of being applied to various disciplines of science with which it is possible to study systems and quantify the phenomena produced by electromagnetic activity successfully.