bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of semiparametric spline regression model in modelling human development index in 2016
Authors: Amilia S , Herrhyanto N , Puspita E 
Published: November 2019

Abstract
Human development index is one of indicators to determine developed country. According to the data from Indonesian Central Bureau of Statistics in 2016, Human Development Index of Papua, West Papua, and East Nusa Tenggara are lower than others. Therefore, the aim of this study was to analyze the relationship between Human Development Index and four variables such as Life Expectancy, School Life Expectancy, Average School Duration, and Average per Capita Expenditure affecting an improvement of Human Development Index. Data of human development index and 4 variables used in this study was obtained from the article “Human Development Index 2016” published by Indonesian Central Bureau of Statistics. Method used in modelling Human Development Index in 2016 was semiparametric spline regression method. Linear spline, quadratic spline, and cubic spline were models applied in this study, whereas one point of knot was implemented as well. As a result, all variables significantly affected the Human Development Index in Papua, while in West Papua, variables of both Average School Duration and Average per Capita Expenditure related to Human Development Index significantly. In contrast to Papua and West Papua, 3 variables such as School Life Expectancy, Average School Duration, and Average per Capita Expenditure contributed on Human Development Index in East Nusa Tenggara.
Type the title of your paper here mathematical properties of n×n nonnegative matrix: case of irreducible Leslie matrix
Authors: Carnia E , Anggriani N , Gustyana M , Supriatna A K 
Published: November 2019

Abstract
Perron-Frobenius theorem describe five properties of irreducible nonnegative matrix. Leslie matrix is one of nonnegative matrix. Leslie matrix that used in this research is limited to the irreducible Leslie matrix. In previous research has been proven that irreducible Leslie matrix satisfies three properties in Perron-Frobenius theorem by spectral radius. This research completed the previous research, proving that irreducible Leslie matrix has a unique Perron vector and satisfies Collatz Wielandt formula. Leslie matrix is a primitive matrix. It is used to calculate the number of populations in the future. Growth of population is interpreted by value spectral radius of Leslie matrix.
Effect of depth and width of periodic trapezoidal channels to water content in soil: a numerical study
Authors: Solekhudin I 
Published: November 2019

Abstract
Time-independent or steady infiltration problems from periodic furrows are studied. There are variations in the depth and width of the periodic furrows or channels. The problems are modelled using Richards equation. To solve the problems using the Dual Reciprocity Boundary Element Methods (DRBEM), the mathematical model must be changed into a modified Helmholtz equation. Solutions obtained are then compared and discussed to observe effects of the depth and width of the channels to soil’s moisture content.
Complexity analysis of the connected pore structure in 3D porous medium using meandering parameter and permeability
Authors: Rahmi N , Latief F D E , Feranie S 
Published: November 2019

Abstract
The complexity of the connected pore structure of porous media samples has been analysed using meandering parameter and permeability. The meandering parameter and absolute permeability was calculated for four porous medium models, which have porosity of 15%. Porous medium samples are generated by depositing grains of varying radius (10, 15, 20, 25 pixels) that are randomly distributed in a 200 × 200 × 200 medium. The fluid flows of the rock models were analysed on the y-direction. To trace the connected pore inside the porous medium, Simple Neurite Tracer was used which then generated the coordinate of the connected pore path for calculating the meandering parameter. Meandering parameter is calculated by using the definition of the ratio between the sum of the curvaceous angles of the connected pore path to the distance between two facing sides of the sample. Absolute permeability is calculated by simulating the Darcy’s experiment by means of Lattice Boltzmann Method. For the four sample models, it was found that meandering parameter is inversely proportional to the permeability.
Investigation of 3D fractal dimension sensitivity on 3D fracture parameter
Authors: Feranie S , Sasmita D , Latief F D E 
Published: November 2019

Abstract
Box counting fractal dimension has been investigated as 3D Fracture parameters. Geothermal rock fractured and 3D fracture models are characterized its 3D fracture characteristics i.e. aperture, density and intensity. The investigation 3D Fractal dimension as aperture parameter, we use the rock samples and 3D Fracture models that have nearly the same intensity. We found that fractal dimension of 3D fracture has a strongly positive correlation with aperture both for 3D fracture in rock fractured samples and 3D fracture models. Based on this result we conclude that 3D fractal dimension of fracture can be used as parameter of fractures aperture and density. Meanwhile for fractal dimension of 3D fracture as intensity parameter, we use the rock samples and 3D Fracture models that have nearly the same aperture and density. We found that there’s no significant pattern of 3D fractal dimension on fracture intensity of rock samples. For further investigation we generate 3D fracture models. We found that the relation between 3D fractal dimension and 3D fracture intensity is very weak negative correlation. Based on this result, we are unable to conclude that the 3D fractal dimension of fracture can be used as parameter of fractures intensity.
Design of carbon dioxide level measures on peat soil with MG 811 sensor
Authors: Aziz M H , Saptiani P , Iryanti M , Aminudin A 
Published: November 2019

Abstract
The world’s carbon dioxide pollution is already at alarming levels. Carbon dioxide pollution leads to global warming. One of the cause of carbon dioxide pollution is peatland. Indonesia is one of the countries with largest peatland in Southeast Asia. Therefore there is a need for carbon dioxide concentration detector on peatland. Laboratory scale carbon dioxide concentration detector in peat was made. This detector consist of three main parts, namely, the source of carbon dioxide gas, gas barrier and the sensor system. The sensor system is using MG 811 gas connected to the arduino, in which output voltage from the sensor will be converted to ppm (part per million). Carbon dioxide gas from the source flows towards peatland contained on the barrier, and gas concentration will be measured by gas sensor. The carbon dioxide concentration detector was made with a size of 70 cm in length and width 40 cm. This experiment use peatland with 6 and 7 cm of thickness and carbon dioxide concentration detected are 400 – 1800 ppm.
The electrical properties on the plantation fires at Liang Anggang Village in the South Kalimantan in Indonesia
Authors: Iryanti M , Aminudin A , Agustine E , Ardi N D , Asmoro C P , Purnama E , Tayubi Y R 
Published: November 2019

Abstract
Electrical properties were used to analysis soil characteristic such as conductivity electric, resistivity and dielectric permittivity. The aim of this study is characterization of electrical properties at plantation fires at Liang Anggang village, Banjar Regency in South Kalimantan, Indonesia. The geo-electric resistivity of Wenner-Schlumberger configuration was conducted in field with 1 meter electrode spacing. The result of resistivity section which the length is 52 meter varies from 149 to 1436 ohmmeter. In the surface from 0 to 5 meter is higher resistivity (1039 – 1436 ohmmeter) and the lower 5 m is lower resistivity (149 – 752 ohmmeter). Resistivity of plantation fires has high resistivity, because there are many organic matters and less water content moreover those impacts up to 5 meter the depth.
Development of static solar panel equipped by an active reflector based on LDR sensors
Authors: Indrasari W , Fahdiran R , Budi E , Umiatin U , Yusuf N S 
Published: November 2019

Abstract
Solar panels are a very effective source of renewable energy in Indonesia. To increase the output power of solar panels, especially on the static solar panels, a reflector is required as an additional device. This paper describes development of a static solar panel equipped with an active reflector. Five LDR sensors are mounted on the top of the reflector, to detect the highest solar intensity. Meanwhile, a DC motor as a reflector drive system is mounted on the bottom of the reflector. The tilt angle of the solar panel is 450 to the negative x-axis and the reflector is 750 to the positive x-axis. The reflector will move in a semi-circular path, following the direction of the highest solar intensity detected by the LDR sensor. Three different reflectors used to optimize the output power, there are stainless steel, aluminium foil, and mirror. Solar panel with mirror reflector produces the largest output power compared to other reflectors. The output power of this device increases 1.6 times to the solar panels without reflector.
Analysis of meteorological parameters wind speed, temperature, and pressure profiles during Tropical Cyclone Cempaka Dahlia 2017 using time series analysis
Authors: Asmoro C P , Riza L S , Ardi N D , Hikmat  , Amsor  , Tayubi Y R 
Published: November 2019

Abstract
Meteorological parameters such as wind speed, air temperature and pressure have been measured in the Menara Timur, FPMIPA UPI, Bandung, Indonesia during the Tropical Cyclone Cempaka Dahlia (TCCD) from November 27 until December 2, 2017. In this paper, we propose to analyze them by using distance measurement for time series data. The following steps are conducted: data collecting, splitting, dimensionality reducing, and distance calculation. The final results show cluster memberships of the three parameters on 3 time frames: one week before, the TCCD week, and one week after. After doing some simulations, it can be seen that profiles of temperature and pressure at the time frame before and during are similar. However, for wind speed we can see that the profile of the time frame before and after is quite similar compared with the others. In conclusion, the wind speed parameter is strongly affected by TCCP with an increase in the wind speed up to 74% compared by wind speed before TCCP
Problem-based learning skills and reflection skills of biology education students through the problem-based online tutorial
Authors: Sekarwinahyu M , Rustaman N Y , Widodo A , Riandi  
Published: November 2019

Abstract
This study is part of the development of problem-based learning research in plant development using the Gibbs’ reflective cycle and e-portfolio, namely the program implementation phase The Study aims to find out the problem-based learning skills and reflection skills of biology education students. The study conducted in the semester 2018.1 involving 24 biology education students participating in the Plant Development online tutorial. The study was conducted by providing discourse related to differences in Algae and Moss and asking students to carry out problem-based learning processes (PBL) and reflect on what they had done in the PBL process. The instruments used were the rubric of PBL and reflection skills five scales (range 0-4). The results showed that the average PBL skills score of biology education students is lower than their average reflection skills score. Of the six PBL components assessed, the students’ ability to formulate problems is the highest ability, and the ability to answer the problem formulation is the lowest ability). Meanwhile, from the six components of reflection assessed, the students’ ability to conclude is the highest ability, and the ability to provide an action plan is the lowest ability.
Improving scientific argumentation: opportunities and barriers analysis in inquiry-based scientific reading
Authors: Probosari R M , Widyastuti F , Sajidan S , Suranto S , Prayitno B A 
Published: November 2019

AbstractReading, as an inseparable part of science inquiry, is a strategy for concept understanding and building knowledge through literature. The purpose of this study was to examine opportunities and barriers of the development of 2nd-year college students’ scientific argumentation through reading activity. The practice of argumentation, as part of scientific communication, is conducted over one semester on continuous topic using inquiry-based reading instructions. This collaborative action research was held in one of the science education study programs in Central Java, Indonesia. Data sources included class discussions concentrated on individual presentation that occurred in nine weeks periods, students’ portfolios, questionnaires, and lecturer field notes. The opportunities and barriers of inquiry-based reading were analysed through Rasch analysis model. The results showed that there are many students who lack understanding of scientific reading strategies and how to use the information obtained to build strong arguments. Scientific reading culture is still very low, even though through habituation this can be resolved. Teaching strategies for doing inquiry-based reading in practice are discussed and the implications of these findings were highlighted in relation to develop sharper insight of scientific argumentation in science classrooms.
Enhancing the quality of future teaching practise by increasing scientific attitudes and reducing misconceptions of pre-service elementary school teachers through conceptual change model
Authors: Toto R W , Kurniawati W , Mustadi A 
Published: November 2019

Abstract
This study was aimed at increasing scientific attitudes and reducing misconceptions of 39 pre-service elementary school teachers (PSESTs) at PGRI University of Yogyakarta by implementing the conceptual change model (CCM). Scientific attitudes scales (SAS) and misconception tests (MT) were administered to PSESTs. Observations and documentations were conducted to record the implementation of CCM as well as PSESTs’ attitudes and behaviour. Data analysis techniques were the descriptive statistic as a quantitative analysis and descriptive qualitative as a qualitative analysis. The average scores of scientific attitudes increased from 72.8 in the initial condition to 77.1 in Cycle I, whilst the average scores of scientific attitudes increased from 77.1 in Cycle I to 81.4 in Cycle II. The overall misconception incidences reduced from 49.8% to 5.6%. The research results clearly showed that CCM increased scientific attitudes and reduced misconceptions of PSESTs’. The two objectives, the increase of scientific attitudes and reduction of misconceptions, are attempts to enhance the quality of pre-service teachers’ upcoming teaching practise. Consequently, CCM is one of the choices that can be chosen by lecturers to fulfil both objectives.
Development of digital product assessment instruments for preservice teacher’s biology
Authors: Maryanti S , Kurniawan D T , Malik A 
Published: November 2019

Abstract
This researched purpose to determine the characteristics of assessment instruments for digital teaching materials to assesses the quality and feasibility of digital teaching materials. Assessment instruments for digital teaching materials that are reviewed according to evaluation experts, media experts and linguists. This development research uses the ADDIE model which consists of the stages of analysis, design, development, implementation and evaluation. The subject of the instrument assessor was a lecturer in the education evaluation course and three expert lecturers consisting of one evaluation expert, one media expert, and one linguist. Review and input from this expert lecturer as instrument validation. Assessment instruments that have been developed have various characteristics. The findings obtained (1) the products produced in this research and development are instruments for evaluating digital teaching materials for biology learning. (2) Based on the validation results obtained a score of 4 which is included in the criteria both with minor revisions. So in terms of feasibility it can be concluded that the assessment instrument for biology digital learning materials is worthy to be used in assessing digital learning media created by prospective biology teacher students.
Utilization of Learning Analytic on Measuring Student Participation in Online Learning
Authors: Adji S S , Hamda S 
Published: November 2019

Abstract
Learning analytics can be used to measure the level of student participation in online learning. This study is the best practice in conducting student learning assistance services through online learning, and aims to analyze student involvement during the learning process. The study was conducted on subjects offered by the Open University Chemistry Education course. The data were obtained based on the activity of online learning for one semester conducted by tutors and each tutor holding 1 class. The results obtained show that through learning analytic many items that can be assessed by the tutor on student activities during the online learning take place, among which are: 1) the number of overview accesses by the students on each topic or the reading of the tutorial material 2) the number of access made by each student on tutorial material 3) number of student access in reading each discussion material in discussion forum and, 4) number of response given/uploaded by every student in discussion forum. Other information that can be gained through the use of learning analytics is the interaction of learning that occurs between students with students and students with tutors. Interaction patterns are illustrated through graphs and responses among students.
Effect of didactical dialogue to enhance learning quality
Authors: Sari W K , Supriatna A , Hendayana S , Lestiyani S 
Published: November 2019

Abstract
One of the factors that determine the learning quality is the relationship that exists during the learning process. The relationship is the didactical dialogue and collaboration that occurs among students. Didactical dialogue and collaboration will happen when classroom interaction between teachers and students can critically interrogate the topic of lesson, express and listen to multiple voices and points of view, and create respectful and equitable classroom relations. The purpose of this study is to analyze and describe didactical dialogue that occurs among students and collaboration among students in sharing task activity during learning process. Sample was collected in one of private senior high school in Bandung. Data was taken from the topic of factors affecting reaction rate. The lesson was videotaped and transcribed. From the transcript results, the student dialogue is analyzed which section shows the didactical dialogue and the collaboration among students ctivities. Through this study, the deepness and spaciousness of students thinking was influenced by teachers capability to conduct the lesson, for instance how to elicit students idea by using question, how to give feedback from the response and how challenging the task designed by teacher. Didactical dialogue and collaboration among students show that quality learning process.
Digital learning model based on intelligent tutoring system in 3DMUVLE
Authors: Rasim  , Munir  , Rosmansyah Y , Langi A Z R 
Published: November 2019

Abstract
Information and Communication Technology (ICT) has been used in broad education both for pre-learning, in-learning, and post-learning. But its use often generalizes learning material for all students even though each student has different characters and abilities. Intelligent Tutoring System (ITS) is able to provide learning materials according to students’ models. This study aims to model ITS-based digital learning. This model consists of four parts, namely: domain knowledge, pedagogy, students’ model, and interface. Domain knowledge produces learning materials that are suitable for each student’ model and pedagogy while virtual learning environment is a learning interface for students. This interface integrates MOODLE, SLOODLE and OPENSIM. The student’s model used is Myer Briggs Type Indicator (MBTI). The results of this study are 16 types of students and 16 types of learning material. The implication of this research is a comprehensive model that integrates ITS and VLE.
Scheduling the cluster server node shutdown based on the hierarchical and k-means clustering combinations
Authors: Sudarsono G A , Nugroho E P , Putra R R J 
Published: November 2019

Abstract
The problem of server clusters is the use of electrical power. The data center in Indonesia consumed 1.5% of the national generating capacity in 2014. To solve this problem is to turn off the server node on the server cluster. With the turn off server nodes on server clusters scheduling, it’s expected to determine the time and duration of turning off server nodes. When the server cluster is running, data retrieval takes one, five and 15 minutes average load which is done every minute. Then the collected data is clustered using a combination of average linkage hierarchical clustering and K-Means clustering. The results of this clustering produce three clusters load averages that are “low”, “medium” and “high”. Load averages that included into the “low” category are sorted by the time of data retrieval to get the time and duration to turn off at each node. The results of the research result in scheduling turning off node one is 14.09 - 14.28, at node two is 14.47 - 06.57 and at node three is 06.57 - 07.18. Turn off server node scheduling is reduces the use of electrical power from 2,528 kWh to 2,519 kWh and doesn’t affect server quality parameters.
Education-based augmented reality applications for heat learning media content lesson in physics
Authors: Suryadi A , Rahayu G , Amalia I F , hamdani N A , Nuraeni R 
Published: November 2019

Abstract
This study aims to create applications that can be used as a medium of physics learning with sub-material heat. Application-shaped learning media created using Augmented Reality-based technology Android. The application created is named Mecalor. Mecalor application process using the Waterfall method. This Waterfall method provides a sequential approach to software lifecycle. Testing the feasibility of the application is done through four characteristics of the ISO 25010 standard which Suitability Functional, Performance Efficiency, Portability, and Usability. The test was conducted in Garut - Indonesia Vocational High School with a total of 30 students and two software experts. Data analysis techniques use a Likert scale and Guttman scale. The test results on the characteristics of Functional Suitability applications, Performance Efficiency, and Portability is valid with a percentage of 100% so it can be said that the application is good to use. Likewise, characteristics Usability test results also suggested a value of 3.9 so that applications can Mecalor declared fit for use.