bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forecasting Surabaya Rainfall in 2017 Using First Order Autoregressive Model through INLA Bayesian Approach
Authors: Sutanto Hery Tri 
Published: December 2019

Abstract
Water is one of the natural factors which affects the life of organisms on earth. If in one area, there is a sufficient amount of rain, then it will support the life of organisms in that area. However, if an area has an excessive amounts of rain, flooding will occur and it will damage the infrastructure, the agricultural land and some existing ecosystems. One way to reduce unwanted floods is by predicting accurate flood discharge. It can be used not only to design water buildings but also to manage water flow. Flood discharge can be predicted using the time series method, namely the First Order Autoregressive model, also known as the AR model (1). Estimating parameters in the AR model (1) can be done using the Moment, least Square and Maximum Likelihood methods. However, because the sample size used in this study is small then the Bayesian method can be used to estimate the AR model parameters (1). It has some advantages such as: 1. It can produce logical interpretations to conclude statistically in time series analysis 2. The output can always be updated based on the latest information. The Markov Chain Monte Carlo method is one method that can be used for Bayesian inference calculations, specifically the Gibbs sampler and Metropolis-Hastings algorithms. Both of these algorithms are more flexible and easily adapted to estimate complex models with many parameters or characterized by posterior nonstandard distributions. The MCMC theory states that the convergence distribution of the simulation value to the posterior distribution has a number of iterations to infinity, the posterior distribution will not be feasible. So that the processing of data consume a lot of time to reach convergence, then if it is not stopped then it will give suggestions about how some MCMC iterations become convergent. If the model is more complex then the MCMC algorithm is slower and the calculation becomes not feasible. Therefore, Rue et al. (2009) proposed a fast and accurate algorithm called the Integrated Nested Laplace Approximation Algorithm (INLA).
Oscillation Phenomena of Rayleigh Equation Disturbed by Superposition of Two Harmonic Excitation
Authors: Alfan A , Dewi N A C 
Published: December 2019

Abstract
The Rayleigh Nonlinear Oscillation Equation Phenomenon disturbed by two external harmonic forces. One of which is small, will be discussed. Using the Multiple Scales method to obtain analytical solutions, several cases of resonance are determined. Steady-state solutions and their stabilities will be investigated. Depending on the value of amplitudes and frequencies of the external forces given, for a non-trivial steady-state solution, there are two possibilities, namely a periodic solution, and a non-periodic solution that raises the beating phenomenon.
Multiclass Classification of Brain Cancer with Multiple Multiclass Artificial Bee Colony Feature Selection and Support Vector Machine
Authors: Kharis S A A , Hadi I , Hasanah K A 
Published: December 2019

Abstract
A World Health Organization reported that the mortality rate due to brain cancer is the highest in the Asian continent. It is critical importance that brain cancer can be detected earlier so that the treatment process can be carried out more precisely and will be able to extend the life expectancy of brain cancer patients. Taking advantage of microarray data, machine learning methods can be applied to help brain cancer prediction according to its type. This problem can be referred to as a multiclass classification problem. Using the one versus one approach, there will be as many as

k
(
k
−
1
)

2

two-class problems, where k indicates the number of classes. In this paper, Multiple Multiclass Artificial Bee Colony (MMABC) implemented as a feature selection method and Support Vector Machine (SVM) as a classification method. ABC algorithm proved successful in solving optimisation problems with high dimensionality, and SVM can produce accurate and robust classification results. The data obtained from Broad Institute data. The data consist of 7129 features and 42 samples. From the experiment, the accuracy of Multiple SVM using a feature selection based MMABC method reached 95.24% accuracy in usage 300 best features; this percentage slightly more superior than SVM method without feature selection.
The Global Kernel k-means Clustering Algorithm for Cerebral Infarction Classification
Authors: Rustam Z , Fitri S G , Selsi R , Pandelaki J 
Published: December 2019

Abstract
Cerebral infarction is the death of neurons, glia cells and blood vessel systems caused by a lack of oxygen and nutrients. This situation is often called storke. Common causes of neuron damage are hypoxia, which is caused by impaired blood flow, reduced oxygen pressure in blood circulation, toxins, and hypoglycemia which can result in the same morphological changes as morphological changes in hypoxia. Hypoxia is reduced oxygen pressure in the alveoli, resulting in hypoxemia which can cause hypoxic brain tissue. The initial stage of ischemic neurons is characterized by the formation of micro vacuolization, which is characterized by the size of the cells that are still normal or slightly reduced, the nucleus shrinks slightly, vacuoles occur in the perikaryon region. This micro vacuole can be found in neurons in hippokamus and cortical 5-15 minutes after hypoxia. The final sign of cell damage due to ischemia is characterized by the nucleus becoming pyknotic and fragmented. To classify cerebral infarction, the author uses the global k-means clustering algorithm as a classification method that shows that the method has good accuracy, good memory, and good precision in classifying cerebral infarction. In this proposed method, the global kernel k-means clustering algorithm is an extension of the standard k-means clustering algorithm and has been used to identify or classify clusters that are non-linearly separated in space input. This method adds one cluster at each stage through a global search process consisting of several k-means kernel executions from the appropriate initialization. Therefore, this method can make good classification accuracy. In particular, this achieves classification accuracy of up to 78% for the highest accuracy.
The Effect of Local Micro Organism and Mycorrhizal Fungi on Anatomical and Morphological Responses of Red Chili (Capsicum annuum L.) at Different Soil Water Level
Authors: Naafi T N , Rahayu Y S 
Published: December 2019

Abstract
Red chilli as a vegetable commodity plays an important role for Indonesian people and its cultivation depends on the level of water availability, which is still a problem in certain area in Indonesia. This study aimed to describe the effect of local microorganism (LMO) concentration and different soil water levels on the anatomical and morphological responses of red chilli by adding the mycorrhizal fungi in all treatments during the cultivation. This experimental study used Randomized Block Design (RBD) with two factors, namely the concentration of LMO (0mL/L, 25 mL/L, 50 mL/L, 75 mL/L) and different soil water levels based on field capacity measurement (100%, 75%, 50%, and 25%) with 3 replications. The parameters obtained included anatomical parameters (stomatal density and trichome density) and morphological parameters (plant height, leaf number, wet biomass, root length, mycorrhizal infection and relative water content of leaves). Data obtained from this study was in the form of morphological response of red chilli and anatomic parameters. Data obtained in this study were analyzed by two-ways ANAVA and continued by the Duncan test. The results showed that there was an effect of LMO concentration and different soil water levels by the addition of mycorrhizal fungi on plant height, wet biomass, relative water content of leaves with the highest effect of LMO concentration at 75 ml/L with water level of 25%. In the stomatal density, the LMO concentration and water levels that significantly effect was 25 ml/L with water level of 25%. Although there was no significant effect on leaf number, root length, mycorrhizal infection and trichome density parameters due to the treatments. These findings recommended that red chilli could be cultivated better in the interaction of 75 mL/L of LMO concentration and soil water level of 25%.
The Effect of Gibberellin Extracted from Eichhornia crassipes Root on the Viability and Duration of Hard Seed Germination
Authors: Ummah K , Rahayu Y S 
Published: December 2019

Abstract
The germination process is influenced by external and internal factors including the type of seed. Hard seeds require special treatment in stimulating the germination process such as scarification and stratification (for example applying exogenous hormones to seeds during the germination process). This study aimed to describe the effect of exogenous gibberellin hormone extracted from Eichhornia crassipes root on the viability and duration of germination of three different hard seeds. This study used RBD (Randomized Block Design) with two treatment factors, namely root extract concentration from Eichhornia crassipes (0 ppm, 200 ppm, 300 ppm, 400 ppm, and 500 ppm) and hard seed types (sapodilla seeds =Annona muricata, soursop seeds =Manilkara kauki, and longan seeds = Dimocarpus longan) with three replications. The observed parameters for seed viability were germination percentage and vigour index, while duration of germination parameters was germination index. Data were analyzed using ANOVA and followed by Duncan Test. The results showed that there was a significant effect of the root-extracted gibberellin concentrations and types of seeds on viability and duration of germination seeds. The optimal concentration of root-extracted from Eichhornia crassipes was 500 ppm, with the highest germination percentage, vigour index, and germination index were 80.55%, 387.33%, and 0.254%/etmal respectively. The longan seeds revealed the best viability and shortest duration of germination due to applying the exogenous gibberellin hormone extracted from Eichhornia crassipes root. The findings revealed that there was a positive synergism between exogenous and endogenous gibberellin on the effect of germination process in three different hard seeds tested.
Students’ procedural and conceptual Fraction knowledge based on cognitive style
Authors: Novianggraeni T D , Masriyah  , Lukito A 
Published: December 2019

Abstract
Recent research on children’s procedural conceptual knowledge has suggested that there are individual differences. Some children have more conceptual knowledge, some children have more procedural knowledge, and some children have an equal level of both. In this study we compared and investigated individual differences knowledge of procedural and conceptual fraction among cognitive style of seventh (n=40) graders in Surabaya, East Java. Data collection in three sessions; all participants answered the same tasks. In the first session, students completed the Group Embedded Figures Test (GEFT) in 12 minutes to investigate their cognitive style (Field Dependence cognitive (FD) or Field Independence cognitive (FI) styles). In the second session, students completed three written measures (procedural and conceptual fraction knowledge test in 45 minutes) individually in a classroom. In the third session, students were individually interviewed for approximately 30 minutes. They answered questions on how they would solve fraction tasks. Students of the FI group performed significantly better than the FD group, on a measuring fraction and estimating number line. Overall, these results provide a more detailed picture of individual differences in procedural and conceptual knowledge in cognitive style.
Students’ Problem Solving Behavior On Multiplicative Word Problem
Authors: Auliatullah S R , Fuad Y , Ekawati R 
Published: December 2019

Abstract
Students in junior high school frequently erroneously solving multiplicative word problems. Students in this stage should be able to understand the known and what is asked, what the strategies properly, and how to execute it become the right one. It has close related with student problem solving behavior, it is given provided description of the students’ behaviour. The purpose is to investigate students’ problem solving behavior on solving multiplicative word problem. This study conducted on a class of 7Ath class in SMPN 39 Surabaya, consist of 27 girls and 15 boys, and had chosen purposively from ninth classes. Students had to answer multiplicative word problem, based on result show that there are three category students when solve the task. Three volunteer students were selected as research subject which have different ability that had interpreted as context this study, subjects needed for deep interview. The problem solving behavior of subject who solve the tasks multiplicative properly tend to Meaning Based Approach-justification (MBA-j), the problem solving behavior of subjects who solve exactly one task multiplicative additively tend to Meaning Based Approach-full context (MBA-fc), and the problem solving behavior of subjects who solve at least two task multiplicative additively tend to Direct Translation Approach-not proficient (DTA-np).
Analysis of the Number of Seventh Grade Student Error Type in Solving Two-Dimensional Figure Problems
Authors: Iqlima S F D , Sofro A 
Published: December 2019

Abstract
Solving the problem is one of the goals in learning. In reality, there are still many students who make an error in the two-dimensional figure. The style of students in absorbing, processing, and managing information is called learning style. In some studies, the mathematical abilities boys and girls are different. The investigation of the types of student errors based on learning styles and sex has developed massively. Thus, this study will investigate variables that affect the number of types of errors in solving the problem of a two-dimensional figure. The population in this study is a seventh-grade student, and the sample in this study is 32 seventh grade students. Data obtained from questionnaires and tests. There are two variables in this study, the independent variable is learning styles and gender, and the dependent variable is the number of error types. Hence, the appropriate approach is using Poisson regression due to a discrete response variable. The results show that the coefficient of learning style has substantial evidence to reject the null hypothesis with alpha 0.05. It means that the learning style has a significant impact on the number of error types.
The Model of Visual Thinking of Prospective Math Teacher in Understanding the Formal Definition of Convergent Sequences Based on Gender Differences
Authors: Darmadi  
Published: December 2019

Abstract
The model of visual thinking is interesting to learn because the concepts are organized based on the meaning of forming mental imagery in the mind. Thinking by using mental imagery (visual information) is called visual thinking. This paper discusses the model of visual thinking of prospective mathematics teachers in understanding formal definition of convergent sequences based on gender differences as a result of descriptive-explorative research with a qualitative approach. The visual thinking activities of male and female students are found around three aspects: bringing up mental imagery, processing mental imagery (determining mental imagery, improving mental imagery), and utilizing mental imagery. To bring up mental imagery, the mind summons mental imagery or makes mental imagery. To determine mental imagery, the mind collects mental imagery and selects mental imagery. To improve mental imagery, the mind justifies mental imagery or completes mental imagery. To utilize mental imagery, the mind uses mental imagery or represents mental imagery. Processing mental imagery has done according to the needs and purpose of the activity in understanding the formal definition of the convergent sequence.
Recitation program to improve students’ conceptual understanding of Thermodynamics
Authors: Adila A S D , Sutopo  , Wartono  
Published: December 2019

Abstract
The purpose of this research was to analyze the improvement of students’ mastery of thermodynamics concepts after they learn three packages of recitation program that cover state equation of ideal gas, The First Law of Thermodynamic, and The Second Law of Thermodynamic. The subjects consisted of 21 undergraduate students enrolling in the fundamental physics course. The results showed that the recitation program improved students’ conceptual understanding of thermodynamic with the d-effect size of 2.51 and N-gain of 0.365. The program effectively helps the students in constructing P-V diagrams and understanding the relationship between the average particle’s kinetic energy and temperature of the gas. However, some contents need to be improved to help the students more fluent in determining total work and heat involved in any cyclic process.
Deterministic Dual-stack Query Tree RFID tag anti-collision algorithm
Authors: Zhou Yanling , Clemen Thomas 
Published: December 2019

Abstract
Tag collision problems are a major issue affecting the performance of RFID systems. The probabilistic tag anti-collision algorithm has tag starvation and cannot identify some tags. This paper proposes a deterministic dual-stack query tree algorithm (DDQT). It successfully implements the anti-collision algorithm of tags by generating new query codes and tag identification functions. At the same time, the DDQT algorithm greatly saves memory space by adding a prefix code stack and a suffix code stack. The DDQT algorithm is simple, and there is no limit on the length of the electronic tag to be queried. Compared with the previous query-tree algorithms, the DDQT algorithm has obvious improvements in query comparison times, empty query times, and occupied memory space. It can effectively remove idle nodes, shorten recognition time and save memory resources, thus improving the speed and accuracy of label recognition to some extent.
Seeking for optimum culture medium for chlorella pyrenoidosa and analysis of the amino acid component
Authors: Li Wei , Chen Xiaojiang , Zheng Mengmeng , Li Zhicheng , Li Haiyang 
Published: December 2019

Abstract

Chlorella Pyrenoidosa is one of the widely used algae in aquaculture. In order to find out a proper culture medium for high-density culturing to meet the demand of fish reproduction and water quality control, five normal algae culture media were test via multiple comparisons. The densities of the five groups, with six parallel samples each, which were cultured in corresponding medium, were determined by blood counting chamber on the beginning (0d), the 3rd day (3d), the 6th day (6d) and 9th day (9d). Then the growth curves were described and the growth radio were calculated and compared by One-Way ANOVA (Turkey method) using the SPSS 21.0 software. The multiple comparisons results revealed that HGZ group could reproduced a rapid and stable speed at high density, while SE group and Aquatic 4# reproduced faster than the HGZ group. Amino acid component results revealed that C. Pyrenoidosa contains 18 kinds of amino acid (42.19 ∼ 43.14% of the body mass). There are significant differences on total amino acid, fish essential amino acid and non-essential amino acid between groups based on the multiple comparisons. However, the amino acid could not meet the demand of fish or shellfish. Thus, extra amino acid, such as tryptophan and methionine should be added and the HGZ medium was the best choice for producing C. Pyrenoidosa to satisfy the aquaculture.
Research on the acute toxicity and teratogenicity of the feeding L-tryptophan
Authors: Hao Fuxing , Liu Li , Xu Yaya , Han Guilin , Zhang Yumei 
Published: December 2019

Abstract
In order to evaluate the safety of the feeding L-tryptophan, we conducted acute toxicity test and teratogenicity test in rats. Rats were fed with L-tryptophan by gavage. The oral LD50 was more than 20.0g/kg b.w. In the teratogenicity test, the doses of L-tryptophan were 5.0g/Kg b.w., 2.5g/Kg b.w. and 1.25g/Kg b.w. We set up a normal control group. The rats were fed by gavage once a day from the 7th to 17th day of pregnancy. At the 20th day of pregnancy, we counted and measured the litter size, placenta weight, live baby weight, body length, tail length, fetus malformation rate, live fetus average malformation rate, maternal fetus malformation rate, fetus death rate, absorptive fetus rate and other indicators. Then we use SPSS12.0 software to carry out data statistical analysis, and One-Way ANOVA and t-test for comparison between groups. The results showed that, when each dose group compared with the control group, there was no significant difference in average body weight, body length, tail length, placenta weight, fetus live rate, fetus death rate and absorptive fetus rate when compared to the normal control group(P>0.05), and there was no significant difference in the common deformity indexes, such as fetus malformation rate, live fetus average malformation rate and maternal fetus malformation rate between each dose group and the normal control group(P>0.05). The oral LD50 of L-tryptophan to Wistar rats was more than 20.0g/kg b.w., and the traditional teratogenicity test was negative, indicating that the feed additive belongs to the actually non-toxic level and has no obvious teratogenicity.
The heterogeneity of village cadres and poverty reduction-Based on the survey data of 757 administrative villages in western minority areas
Authors: Luo Yuke , Ma Degong 
Published: December 2019

Abstract
By using the data of 7 provinces, 757 administrative villages and 31615 famers in the minority regions of the Midwest, this paper investigates the relationships between heterogeneity of village cadres and poverty reduction. And we find that the age of the village cadres, ethnic identity, investment promotion, income and the education background have a significant positive impact on farmer poverty reduction. Using village collective financial income as the instrumental variable, we find that village cadres of every 1% increase in wage income, the poverty rate will be reduced by 0.007%. Therefore, we table four proposals: the choice of the village and village officer should follow the principle of “young and old”; encouraging to choose village cadres of ethnic minorities; encouraging investment promotion and investment stay in the village; setting income of village cadres within a reasonable range. The conclusions above is of great political significance to solve the problem of poverty reduction of the heterogeneity of village cadres.
Development of on-line monitoring system for insulation of high voltage electrical equipment
Authors: Li Hang , Luo Yaoyao , He Yang , Li Fangying , Wu Ting 
Published: December 2019

Abstract
The development of on-line monitoring technology for high-voltage electrical equipment insulation, the working principle of online monitoring device, and the problems in operation were comprehensively expounded. The on-site verification technology of high-voltage electrical equipment insulation online monitoring system was studied, and online monitoring was analyzed. Management and technical issues with the device were found. On this basis, the on-site calibration device for the on-line monitoring system of high-voltage electrical equipment insulation was developed. The results of on-site non-power-off verification of high-voltage electrical equipment insulation online monitoring system produced by several manufacturers were introduced. Analysis and elaboration of its key technologies.