bluuebunny/crossref_metadata_2025_split huggingface dataset:
System-Scale Modeling of a Building-Integrated, Transparent Concentrating Photovoltaic and Thermal Collector
Authors: Novelli N E , Shultz J , Etman M Aly , Phillips K , Derby M M , Stark P R H S , Jensen M , Dyson A H 
Published: December 2021

AbstractThe buildings sector is a principal contributor to global greenhouse gas emissions, but consistently falls short of targets for harnessing on-site energy resources towards sustainable operation. Emerging integrated solar technologies could transform buildings and urban settings into resilient, self-sufficient, and healthy environments. But if effects of these technologies are not understood in the multiple contexts in which they operate (human-scale, building-scale, district-scale), their potential is difficult to project. To explore building-scale metabolization of solar energy, a previously-developed analytical model of a Building Envelope-Integrated, Transparent, Concentrating Photovoltaic and Thermal collector (BITCoPT) was run to project electrical and thermal energy and exergy production (cogeneration) in a range of orientations and operating temperatures. Simulated annual cogeneration efficiency was noted at 27% (exergy) at an operating temperature of 55°C, and up to 55% (energy) at 25°C. Exergetic efficiency remained nearly constant as operating temperatures increased through 75°C, indicating the thermal energy collected would be some heat-engine-based applications. Although the scope of this study excludes broader architectural benefits of daylighting (lighting load reduction), and reduction of solar gains (cooling loads), these results suggest BITCoPT merits further investigation for on-site net-zero and energy-positive commercial building design, and might contribute to expanding net-zero and energy-positive architecture opportunities.
Innovation Media Learning: Online Project-Based Learning (O-PBL) on Drawing Competence in Automotive Engineering Using Video on YouTube
Authors: Haryanto  , Kusuma Wahyu Mustafa , Mutohhari Farid , Nurtanto Muhammad , Suyitno Suyitno 
Published: December 2021

Abstract
This study aims to develop and analysis the feasibility of a video-assisted project-based learning model on YouTube in automotive engineering drawing subjects. Research development using ADDIE design which is simplified into 4 steps. The developed model was validated by material experts, media and learning practitioners as well as user perception tests. Data were collected through a questionnaire with a product feasibility questionnaire and a perception questionnaire using 5 Likert scales. The results of developing a project-based learning model assisted by YouTube videos contain planning procedures, syntax implementation, and assessment mechanisms that are packaged in a learning model guide book. The results of the validation test obtained a very high level of feasibility, both from material experts, media experts and learning practitioners. Likewise, the student response test showed a very good response to the developed model. The video-assisted project-based learning model on YouTube in automotive engineering drawing subjects is very feasible to be applied in learning.
Web-Based Recruitment Selection Application Development with Analytical Hierarchy Process (AHP) Method
Authors: Maruanaya G J T , Maruanaya R F , Hariyanto D 
Published: December 2021

Abstract
This research aimed to design and develop a support system to determine the selection of recruitment, especially assistant for the Integrated ICT Laboratory at Budi Luhur University according to predetermined criteria. The method used in developing the application was the Analytical Hierarchy Process (AHP) method, which was to rank decision alternatives and accept the excellence one for several criterion cases that mixes qualitative and quantitative components in the whole assessment of available alternatives. The results showed that there were 6 (six) criteria in the selection of the Integrated ICT Laboratory Assistant, including Attendance Value, Competency Value, Project Value, Hardware Value, Interview Value, and Psychological Test Value, which were in accordance with the criteria in the Integrated ICT Laboratory at Budi Luhur University. The system can speed up the process of accepting assistants, because the calculation process, as well as printing the final score are in one system, according to the terms and criteria specified, making it more effective and efficient.
Association of Population Density and Distance to the City with the Risks of COVID-19: A Bayesian Spatial Analysis
Authors: Tiro M A , Aswi A , Rais Z 
Published: December 2021

Abstract
The outbreak of Coronavirus disease-2019 (Covid-19) poses a severe threat around the world. Although several studies of modelling Covid-19 cases have been done, there appears to have been limited research into modelling Covid-19 using Bayesian hierarchical spatial models. This study aims to examine the most suitable Bayesian spatial CAR Leroux models in modelling the number of confirmed Covid-19 cases without and with covariates namely distance to the capital city and population density. Data on the number of confirmed positive cases of Covid-19 (March 20, 2020 - August 30, 2021) in 15 sub-districts in Makassar City, the number of populations, population density, and distance to the city are used. The best model selection is based on several criteria, namely Deviance Information Criteria (DIC), Watanabe Akaike Information Criteria (WAIC), residuals from Moran’s I Modification (MMI), and the 95% credible interval does not contain zero. The results showed that the best model in modelling Covid-19 is spatial CAR Leroux with hyperprior Inverse-Gamma (0.5, 0.05) model with the incorporation of distance to the capital city. It is found that there was a negative correlation between the distance to the capital city and Covid-19 risk, but the association between population density and the relative risk of Covid-19 was not statistically significant. Ujung Pandang district and Sangkarrang Island have the highest and the lowest relative risk respectively.
Logistics Regression Modelling on Student Career Path Choices at the Statistics Department, FMIPA UNM Makassar
Authors: Tiro M A , Poerwanto B , Fahmuddin M 
Published: December 2021

Abstract
Survey of career path that students plan after completing their undergraduate in statistics department was carried out through questionnaire on google form from May 6 to May 24, 2021. There were 114 students who filled out the questionnaire, consisting of 20 students from class 2018, 23 students from class 2019, and 71 students from class 2020. Dependent variable is career path plan (Y), while independent variables are tendency to choose career paradigm (CPC), gender (GDR), Grade Point Average (GPA), parental occupation (POC), number of siblings (NOS), place of birth (POB) and year of university entrance (YOE). The data are analysed by binary logistic model with logit transformation and the result is

g
(
Y
)
=
ln
[

π
(
Y
)

1
−
π
(
Y
)

]
=
−
13
,
525
+
2
,
332
(
CPC
)
−
1
,
036
(
GDR
)
+
4
,
466
(
GPA
)
+
2
,
421
(

POC

1

)
−
0
,
405
(

POC

2

)
+
2
,
390
(

POC

3

)
+
0
,
236
(
NOS
)
−
1
,
817
(
POB
)
+
0
,
448
(

YOE

1

)
−
2
,
660
(

YOE

2

)

Results of the analysis show that predictive power of the model to explain tendency of students to choose career according to statistics is around 34% to 56% based on variables in the model. Beside that tendency of career paradigm choice (CPC), Grade Point Average (GPA), parental occupation (POC1 civil servant), place of birth (POB), and year of entry (YOE2 2019) significantly affect chosen career goals by student.
Development of Learning Devices for the Method in The Bamboo Dancing Stage of Defining A 4-D Model on Triangle Material in Class VII
Authors: Arvyaty  , Arapu L , Jazuli L O A , Mursidin  , Lestari RV 
Published: December 2021

Abstract
This study aims to determine the process and results of defining the development of learning devices with the method bamboo dancing in the triangular material of class VII SMP. This research is a type of development research. The research procedure uses a 4-D model in the stage define. The research results obtained are: the need for the availability of learning tools in the classroom, the needs of students based on the background knowledge and level of cognitive development, the order of the material and the allocation of learning time, the combination of methods bamboo dancing and techniques scaffolding, and indicators of learning objectives. Based on the results of the study, it was concluded that: a) The use of methods bamboo dancing and techniques scaffolding can meet the needs of students in understanding triangle material with conceptual understanding, b) Presentation of triangle material based on basic competencies in the syllabus, indicators of competency achievement and specification of learning objectives, implementation of learning with sub material: understanding triangular flat shapes, types and properties of triangular flat shapes, perimeter and area of riangular flat shapes, special lines and points on triangles, and area of irregular flat shapes.
The Analysis of Mangrove Area as a Marine Eco-Fisherytourism Area in Luwu Regency South Sulawesi, Indonesia
Authors: Arfan A , Nyompa S , Rakib M , Juanda M F 
Published: December 2021

Abstract
Marine eco-fisherytourism is an approach to balancing the existing natural environments and conservation efforts to managing mangrove resources and exploring mangrove areas based on the adapting of silvofishery system support successfully the sustainable forest production. This study investigated the sustainability and profitability of mangrove areas by growing and expanding marine eco-fisherytourism areas. An observational study, intensive individual assessment using role-specific questions to the community around the mangrove area, local government, non-governmental organizations, and community leaders; and High-Resolution Satellite Imagery from Bing Maps, Google Maps, and Aerial Drone Photography has been collected. Strengths, Weaknesses, Opportunities, dan Threats (SWOT) analysis is suggested to determine how the productivity of mangrove forests development contributes to marine eco-fisherytourism. This analysis shows that the internal factors analysis strategy (IFAS) is approximately 1,09 while the external factors analysis strategy (EFAS) slightly drops to -1,38. Diversification strategy indicates innovation gains across internal factors to reduce external factors. Integrating mangrove forest areas like cultivation, silvofishery, ecotourism areas; involving local communities, community leaders, and stakeholders in planning, implementation, evaluation, and conservation for the development ecotourism; supporting infrastructure mangrove ecotourism visitors, and together with the community in conducting innovation/diversification of management based on the utilization and conservation of mangrove resources.
Mapping Analysis of Mangrove Areas using Unmanned Aerial Vehicle (UAV) Method in Maros District South Sulawesi
Authors: Arfan A , Nyompa S , Maru R , Nurdin S , Juanda M F 
Published: December 2021

Abstract
Unmanned Aerial Vehicle (UAV) technology can be used for remote sensing applications. The use of UAVs increases the efficiency of collecting land use information in mangrove forest areas. The purpose of the study was to analyze the mangrove forest area using an Unmanned Aerial Vehicle around Sabang Tambua Pier and Ampekale Village. The data analysis technique is remote sensing analysis and geographic information system using Pix4D, Agisoft Metashape 1.7 and ArcGIS ArcMap 1.4 applications. The results of the analysis show that mangroves appear green in color, rough texture, elongated shape following the coastline. Residential settlements are white or brown in color, rectangular in shape, rough in texture and the site sometimes follows the highway and follows the coastline. The clear green pond resembles a body of water with a rectangular shape. The road segment is in the form of black lines on asphalt roads and grayish-white on concrete roads. The area of land use for mangroves, settlements, ponds, bodies of water (sea) around the Sabang Tambua Pier is 4.67 ha, 1.20 ha, 26.73 ha and 3.85 ha, while in Ampekale Village 4.06 h2, 1.95 ha, 12.61 ha and 2.10 ha.
Analysis and Simulation of SIPA Model for HIV-AIDS Transmission
Authors: Sanusi Wahidah , Annas Suwardi , Pratama Muh. Isbar , Rifandi Muh. , Irwan  
Published: December 2021

AbstractThe aims of this study are: to build a SIPA model on the spread of HIV/AIDS; analyse and simulation of SIPA model and to predict the spread of HIV/AIDS. An applied mathematics for Analysis of the SIPA model in case of HIV/AIDS spreading using the Jacobi matrix method to obtain eigenvalues in two conditions, namely endemic and disease-free, while the simulation model uses Maple with initial value data in the form of assumptions represented in research. The research result are the mathematical SIPA model of HIV/AIDS spreading which is a system of differential equations. The analysis of the model gives the value of the disease-free equilibrium point and the asymptotically stable endemic equilibrium point. The results also found that the basic reproduction number was R0=0.0067 for disease-free conditions and R0=2.7944 for endemic conditions indicating the condition of HIV/AIDS spreading cases in the population. The simulation results found that there is a very significant difference between the numbers of AIDS populations when free from disease and during endemic conditions, so that attention is needed for the government to be able to tackle the spread of HIV/AIDS.
Integral Estimator with Kernel Approach for Estimating Nonparametric Regression Functions
Authors: Hidayat Rahmat , Ma’rufi  , Yuliani  
Published: December 2021

Abstract
Derivatives are measurements of how a function change as the input value changes, or in general a derivative shows how one quantity changes due to a change in another quantity. The concept of universal or comprehensive function derivatives is widely used in various scientific fields. For example, in economics, people are interested in studying the condition of the derivative of an objective function as the result of an optimization problem. In this study, nonparametric procedures are used to estimate a function where the form of the function does not lead to a particular function model. Suppose we are given a nonparametric regression model where f is an unknown function. The main problem of regression analysis is to determine the form of estimation f. To determine the estimation of f, one approach that can be used is the integral estimator with the Gaussian Kernel approach. Furthermore, as an application, the Labour Force Participation Rate (y) data is used with the predictor variable, namely the Average Length of Schooling (x). By using the GCV (Generalized Cross Validation) method, the optimal bandwidth is obtained at h = 80 with a GCV value of 0.243 with an MSE value of 32.1864.
Monte Carlo Simulation in Quantile Regression Parameter for Sparsity Estimate
Authors: Hapsery A , Tribhuwaneswari A B 
Published: December 2021

Abstract
Monte Carlo is a method used to generate data according to the distribution and resampling until the parameters of the method used became convergen. The purpose of this simulation is first to prove that quantile regression with the estimated sparsity function parameter can model the data according to the non-uniform distribution of the data. Secondly, it’s to prove that the quantile regression is a developed method from the linear regression. The pattern of data which is not uniform is generally referred to as heterogeneous data, while the pattern of uniform data distribution is called homogeneous data. Data in this study will be generated for small and large samples on homogeneous and heterogeneous data. Uniformity of variance will be carried out on both heterogeneous and homogeneous data types, namely 0.25,1 and 4. The parameter estimation process and data generation will be resampled 1000 times. Thus, in conclusion of the simulation studies was the parameter estimates in the classical regression will be the same as the parameter estimates in the quantile regression at quantile 0.5. In the simulation, it is decided that the quantile regression method can be used on heterogeneous and homogeneous data to the unconstrained number of samples and variances.
Count Regression Models for Analyzing Crime Rates in The East Java Province
Authors: Handayani Dian , Artari A F , Safitri W , Rahayu W , Santi V M 
Published: December 2021

Abstract
Crime rate is the number of reported crimes divided by total population. Several factors could contribute the variability of crime rates among areas. This study aims to model the relationship between crime rates among regencies and cities in the East Java Province (Indonesia) and some potentially explanatory variables based on Statistics Indonesia publication in 2020. The crime rate in the East Java Province was consistently at the top three after DKI Jakarta and North Sumatra during 2017 to 2019. Therefore, it is interesting for us to study further about the crime rate in the East Java. Our preliminary analysis indicates that there is an overdispersion in our sample data. To overcome the overdispersion, we fit Generalized Poisson and Negative Binomial regression. The ratio of deviance and degree of freedom based on Negative Binomial is slightly smaller (1.38) than Generalized Poisson (1.99). The results indicate that Negative Binomial and Generalized Poisson regression, compared to standard Poisson regression, are relatively fit to model our crime rate data. Some factors which contribute significantly (α=0.05) for the crime rate in the East Java Province under Negative Binomial as well as Generalized Poisson regression are percentage of poor people, number of households, unemployment rate, and percentage of expenditure.
Implementation of Reflective Thinking Process Approach to Students’ Mathematical Critical Thinking
Authors: Saputra Edy , Zulmaulida Rahmy 
Published: December 2021

Abstract
This study aims to measure students’ mathematical critical thinking skills after learning by using a reflective thinking process approach. An experimental research method with a quantitative approach was used in this research. The research design used was a One-Shot Case Study with a pre-test. The population in this study was students of Junior high school in central Aceh, meanwhile the sample was students of class VII2 of Junior high school in central Aceh with consideration of heterogeneous students’ abilities selected by purposive sampling. A mathematical critical thinking test instrument and a student’s attitude scale questionnaire were applied for the data collection of this study. The results of the research showed; (1) the improvement of students’ mathematical critical thinking skills who get learning using a reflective thinking process approach was better than learning without a reflective thinking approach; (2) the reflective thinking approach had an effect of 53.6% on increasing students’ critical thinking skills; (3) students showed a positive attitude towards learning mathematics, and also towards mathematical critical thinking questions.
Professional Teachers using Technological Pedagogical Mathematics Knowledge, are Mathematics Pre-Service Teachers Ready?
Authors: Wijaya Tommy Tanu , Ning Yimin , Salamah Umi , Hermita Neni 
Published: December 2021

Abstract
In today’s information age, the informatization of education requires teachers to become a new type of teacher with information capabilities. The subject teaching knowledge of integrated technology is the knowledge basis for the professionalization of teachers in the information age. This research aims to analyze Pre-service teachers’ perception of Technological, Pedagogical, and Mathematical knowledge. This research adopts the case study method, using Questionnaires for data collection tools. The sample of this research is 84 pre-service teachers from Guangxi Normal University, China. The respondents are undergraduate and master students that are chosen randomly. The instrument used is 20 questionnaire items on pre-service teachers’ perception of their TPMK ability. The data was processed by using SPSS and Microsoft Excel. The research result shows that pre-service teachers have a good Technological Pedagogical Mathematical Knowledge ability but their Technological knowledge is still lacking. Teacher education programs should provide pre-service teachers with opportunities to develop TPMK to integrate technology into teaching effectively.
Flow characterization in an axial micro-hydroturbine model
Authors: Suslov D A , Shtork S I , Litvinov I V , Gorelikov E U 
Published: December 2021

Abstract
The flow characteristics behind the runner of an air model of a propeller-type micro-hydroturbine were studied in detail by varying the operation conditions from part-load to high overload. The Reynolds number was varied from 3×104 to 9×104, and the swirl number from 0.7 to -0.4. An automated laser-Doppler anemometer (LDA) system for non-contact optical diagnostics was used to perform detailed measurements of the flow field distribution, including the profiles of two components of averaged velocities and pulsations and LDA signal spectra. Based on the results, a correlation was found between the identified features of the development of the flow structure under changing operating conditions of the hydroturbine and the nature of the evolution of the integral swirl number, which determines the state of the swirling flow. This can be used to develop recommendations for expanding the range of regulation of hydroturbine operation while maintaining high efficiency.
High-speed PIV investigation of the flow created by the model rotor in hover mode
Authors: Kopiev V F , Zaytsev M Yu , Kopiev V A 
Published: December 2021

Abstract
A study of the instantaneous and average velocity and vorticity fields in the flow created by the model helicopter rotor in the hover mode was carried out. The velocity fields of the flow generated by the model rotor were obtained by a two-dimensional TR PIV system, which provided two components of the velocity vector in the diagnostic light plane. The processing of the obtained raw images was carried out using a two-frame algorithm with adaptive interrogation windows. The experiments carried out have shown the possibility of using the PIV technique to visualize the tip vortex structure descending from the rotor blade. This possibility seems to be especially interesting as one of the means of validation of the numerical methods for calculating rotor aerodynamics and acoustics.