bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the Relationship between Self-efficacy and Mathematics Performance in Integral Calculus among Applied Science University Students
Authors: Nuruddin M , Noor C N , Zainan Abidin A W 
Published: June 2020

Abstract
Perceived self-efficacy refers to the people’s beliefs in their capabilities to exert control over their own functioning and over events that affect their live. Accessing student self-efficacy can provide educator with additional insight of students’ subsequent performance. Hence, this study examined the relationship between self-efficacy and mathematics performance among Applied Science university students. The sample consisted of first year Applied Science university students from two different backgrounds; matriculation and diploma. Students were given two sets of survey questionnaire which were developed by the authors to measure the students’ self-efficacy and their ability to solve the integral calculus questions. The questions were divided into four domains namely concept of calculus, translation from concept to formula, techniques of integration and recognition of functions. The findings from this study did not fully provide evidence to support the view that positive self-efficacy beliefs in mathematics increase mathematics performance since there was no significant impact on what the students perceived and what they actually scored. However, this study found out that if the aspects of self-efficacy were to be examined individually to see if there was any significant impact towards mathematics performance, it can be seen that Techniques of integration (r = 0.243, p < 0.05) and Recognition of function (r = 0.205, p < 0.05) were significant and positively related to mathematics performance to some extent. The study also showed that self–efficacy is correlated with all of the aspects of performance which the correlations values are as follows: Concept in Calculus (r = 0.730, p < 0.01), Translation from Concept to Formula (r = 0.705, p < 0.01), Techniques of integration (r = 0.852, p < 0.01) and Recognition of function (r = 0.773, p < 0.01). The results of this study can help the educators to evaluate and improve the effectiveness of the current mathematics teaching.
Clustering for Items Distribution Network
Authors: Yudhanegara M R , Indratno S W , Sari R R K N 
Published: June 2020

Abstract
The distribution network can be represented as a simple graph. In this case, the delivery destination location is represented as a vertex, while the road passed is represented as an arc. The main concept of network clustering or graph clustering is that high connected vertices can be in the same cluster, while low connected vertices can be in different clusters. The method for network clustering in this paper is the Markov cluster. The purpose of items distribution network clustering i.e. to facilitate the company in item delivery based on road conditions.
Measurement of readiness in IT adoption among SMEs manufacturing industry in Jakarta
Authors: Sani Asrul , Rahman T.K.A , Budiyantara Agus , Doharma Rouly 
Published: June 2020

Abstract
The development of SMEs, especially those based on the manufacturing industry, is highly developed along with the significant market demand. The increasingly important information technology in SMEs will have an impact on increasing productivity, marketing, and efficiency. In this research, measurement of readiness level in the adoption of information technology (IT) will be carried out used to explore the level IT application readiness and to examine factors which influences its application along with the amount of index value determined by the threshold. The survey was conducted on stakeholders of Small and Medium Enterprises in Jakarta, which was done using interview and questionnaire techniques with a response (n = 68). Interviews and questionnaires are conducted on policymakers in SMEs companies so that the data obtained will provide accurate results. Data will be processed using partial least squares structural equation modelling (PLS-SEM) software. The results shown by the majority of respondents (54.4%) answered that the percentage of the level of readiness of SMEs towards IT adoption was more than 50%. Meanwhile, 31.7% of respondents stated that for a percentage of more than 75%. Respondents taken were only about five regions of Jakarta. Also, more comprehensive results will be used as a reference when respondent data will cover all regions of Java. From the results of this study can be used for further research related to the level of readiness for IT adoption in SMEs
Directed bipartite Hypergraph: Representation of data edits for constraint-based data cleaning
Authors: Zuhayeni Madjida Wa Ode , Takdir  , Puji Widodo Sulisetyo 
Published: June 2020

Abstract
Constraint-based data cleaning captures data violations to a set of constraints called data quality constraints. Data edits is one of constraint type besides integrity constraint that used for checking data inconsistencies which come from census or survey questionnaire (questionnaire schema). Data edits contain some variables and describe their relationship using AND and OR operator. The relationship needs to be represented in a structure that can find the best data repair solution. Graph is a generic structure to represent a relationship. In previous studies, hypergraph is used as a solution to represent variable relationships of the violated integrity constraint. Such solution is not efficient for data edits. Hypergraph cannot show the relationship between data edits as a whole. This can trigger more new errors. In this paper, we use graph representation namely directed bipartite hypergraph to illustrate the relationship between overall data edits. Nodes in the graph not only contain variable information of data edits, but also the data edits itself. This makes the interaction between data edits can be seen as a basis to prevent new errors. We also introduce four parameters as determining the level of variables that are priorities for improvement. The goal is to minimize the number of variables must be fixed, but can eliminate all violations that occur. We evaluate the quality of the proposed structure by simulating data repairing. The results show that 100% of the data has decreased violations. 84% of them can be repaired to zero violations.
The influence of the blended learning model supports e-learning (Edmodo) on student learning achievements the main material of buffer solutions in SMA 1 Banyudono academic year 2018
Authors: Nur ‘Aini Afifah , Hastuti Budi , Utami Budi 
Published: June 2020

Abstract
Blended Learning research model supported by e-Learning (edmodo) on student learning achievement and suitability of the blended learning model with the basic material supporting class XI MIPA in SMA 1 Banyudono Academic Year 2018/2019. This research is a quantitative study using quasi-experimental (Quasi Experimental Review). The data in this study are the learning achievement data of knowledge, attitudes and skills analyzed using the Independent Sample t-Test. The research sample consisted of two classes. Data collection techniques with test and nonest, pretest-posttest, questionnaire, observation, and documentation. The results showed that there was the influence of the blended learning model supported by e-learning (edmodo) on the learning achievement of the knowledge aspects and attitude aspects of the subject matter of the buffer solution. Whereas the skills aspect was not influenced on the e-learning (edmodo) blended learning model. It could be seen from the price of significance on the results of the Independent sample t-test (aspects of skills and attitudes) and the crucial wallis test (aspects of knowledge). The significance of the aspect of knowledge is 0,000 <0,05, the attitude aspect is 0,021 <0,05 and the skill aspect is 0,699> 0,05. The compatibility of the learning model with the material gives the experimental class higher than the control class. This could be seen from the average achievement of the experimental knowledge aspect (77.03) higher than the control class (70).
Development of embedded system in monitoring temperature and humidity as supporting smart farm
Authors: Puspasari Fitri , Fahrurrozi Imam , Oktiawati Unan Yusmaniar , Satya Trias Prima 
Published: June 2020

Abstract
Enabling the environment is an important factor in developing livestock business. The temperature and humidity of the cage are very important aspects to consider. Inappropriate livestock cage temperature can affect livestock productivity and survival. The purpose of this research is to design a web-based temperature and humidity monitoring system, in the form of automatic regulation and measurement. In this research, embedded systems techniques are applied to build temperature monitoring systems by combining sensors and microcontrollers. Monitoring the temperature and humidity conditions of the enclosure is done through a sensor network and the classification of conditions is carried out by an intelligent system that produces web-based decision support. The sensor used to measure temperature and humidity in this monitoring system is the DHT22 sensor, while the controller is used NodeMCU. The results of this study are measurement data can be displayed on web pages that can be accessed in realtime. NodeMCU devices can be used as controllers for temperature and humidity data and successfully send data to a database that can be displayed on the website interface. Monitoring humidity and temperature is a great and easy way to record and track any changes which can help decision-makers to prepare or follow suit procedures to prevent conditions that can cause livestock.
The teachers’ obstacles in implementing technology in mathematics learning classes in the digital era
Authors: Muhazir A , Retnawati H 
Published: June 2020

Abstract
The use of technology in mathematics teaching-learning has been proven to be successful in increasing students’ motivation, interests, and achievement. However, the use of technology in learning mathematics in answering the challenges of the digital era has not been successfully implemented as a whole with only 19.22% at the junior high school level and even at the senior high school level only 16.23%. Teacher professionalism is not enough to guarantee the implementation of technology in mathematics education. Unequal facilities and infrastructure are also obstacles. This research aims to describe the obstacles of mathematics teachers in applying technology in mathematics teaching-learning. This research is a case study research with the subject of 12 mathematics teachers in South Kalimantan, Indonesia. Data were collected using questionnaires and interviews. Data analysis was done using the Miles & Huberman model, with the step of data reduction, data display, and conclusion. The results showed that the obstacles of mathematics teachers in the digital era in implementing technology in mathematics teaching-learning included: (1) mathematics learning material that was less suitable for the use of technology; (2) facilities, infrastructure, and support provided by schools were inadequate for the use of technology in teaching-learning; (3) the level of teacher skills in using technology in mathematics teaching-learning. Some factors that influenced the emergence of these obstacles include (1) teachers assessments and point of views of the effectiveness in using technology in teaching-learning mathematics in the classroom; (2) unequal access to education services between schools in cities and villages; and (3) lack of training and information provided to the teachers about the use of technology in mathematics classes. Those obstacles obtained were common obstacles experienced by the teachers in South Kalimantan, Indonesia, both in urban and rural environments.
Can blended learning replace conventional learning in terms of mastery learning and cognitive attainment
Authors: Fatkhulloh Shoffan , Haryanto  
Published: June 2020

Abstract
Blended learning is a pedagogical approach that combines face-to-face learning with online learning. Blended learning is considered as the next conventional learning. So that education in Indonesia is not left behind, the issue of blended learning should have received an appropriate response because in many developed countries many have implemented blended learning as their conventional learning. This research aims to describe whether blended learning is able to replace face-to-face learning as conventional learning today. To describe this, this research was reviewed based on mastery learning and cognitive attainment. Mastery learning is used as a basis for reviewing because education standards in Indonesia use the standard “thorough learning”. The cognitive attainment is used as a basis for reviewing because cognitive levels influence the achievement of critical thinking skills where these skills are one aspect of the basic skills of the 21st century that students must master in this century. This research uses a quasi-experimental method with a non-equivalent design. The population of this research is students of favorite Islamic private elementary schools in Mojokerto. This research concludes that blended learning is able to replace face-to-face learning and is able to influence students’ cognitive attainment.
The profile of students’ data literacy at SMA Negeri 1 Karanganyar
Authors: Ambarwati Aniks , Sarwanto  , Sukarmin  
Published: June 2020

Abstract
The new 4.0 industry has a significant impact on the 21st-century advanced development. The development of science and technology has experienced rapid changes and progress. Students must prepare themselves with various competencies to face the challenges that arise in global competition. One of the competencies that must be owned by the 21st-century skills of students is data literacy. Data literacy is the ability of individuals to collect, process, evaluate, and apply data. The purpose of this study was to find out the literacy profile of senior high school students, especially in physics learning. The data collection technique in this study was to provide tests to several students in SMA Negeri 1 Karanganyar. The data obtained analyzed using descriptive statistical analysis. Based on the tests results obtained an average score of high school student’s data literacy 55.72%. The results received described the student data literacy profile, in general, were still in the medium category.
The development of asessment higher order thinking skills (HOTS) through online based application
Authors: Yunita Luki , Bahriah Evi Sapinatul 
Published: June 2020

Abstract
This research is aimed to produce the instruments of the assessment on the content testing of the chemistry Higher Order Thinking Skills (HOTS) through online-based application which is intended for the pre-service chemistry teachers. To find out the data, the authors utilize (Research and Development) methodology. Furthermore, the testing of the assessment instruments on the content testing of the Chemistry Higher Order Thinking Skills through an online-based application is conducted at the department of chemistry education, Syarif Hidayatullah State Islamic University of Jakarta. What is more, the authors investigate in-depth the instrument of the assessment on the content testing of the chemistry Higher Order Thinking Skills (HOTS) through online-based application in order to obtain the data of the research. Then, all of the data gathered will be validated by two chemistry experts, and examined to seventy pre-service Chemistry teachers at the Chemistry Education Department Syarif Hidayatullah State Islamic University of Jakarta. Importantly, some instruments in collecting the data are provided, including the observation sheets, the structured-interview sheets, experts’ validation sheets, as well as the students’ questionnaires. Moreover, the data gained from the students’ responses will be tabulated to look for its percentages. After that, all of the data will be analyzed descriptively. Therefore, based on the result, it seems to indicate that the pre-service teachers’ show a good response on the assessment of the content testing of the chemistry Higher Order Thinking Skills (HOTS) through online-based application with the average percentage reaches into 85.91 %.
Evaluation of implementation practices of industrial field on revitalization of the vocational educational institution in the industrial revolution 4.0
Authors: Matondang Zulkifli , Sitompul Harun 
Published: June 2020

Abstract
The purpose of this study is to revitalize at the Vocational Education Institution (VEI), Engineering Faculty, Medan State of University (EF-MSU). The revitalization carried prepare graduates to compete in globally in the 21st century and the industrial revolution 4.0. One of the programs the VEI is an integrated collaboration with the Business and Industrial World (BIW). The implications of the collaboration between EF-MSU and BIW can be done by the practice of the industrial field (PIF). The output of this research is to form an integrated PIF management model between EF-MSU and BIW and the implementation of PIF becomes more effective. The evaluation of the implementation PIF with the CIPP models (Content, Input, Process, and Product) developed by Stufflebeam. Research subjects were respondents who were related to PIF, namely: students, supervisors, program study leaders, and BIW parties. The stages of the research were starting from the preparation of instruments, determining the source of data (research subjects), conducting a survey about BIW, establishing cooperation with BIW (making MoU), and conducting several focus group discussions (FGD). The FGD is carried out in the context of developing PIF guidelines, which include: planning, implementation, mentoring, reporting and evaluation PIF. The data analysis technique was descriptively and qualitatively. The results showed that the management of PIF at EF-MSU, in general, needed improvement. The form of cooperation undertaken by EF-MSU with BIW in the implementation of PIF is still normative and partial. There is a unit that manages of PIF at EF-MSU. Based on the results of data analysis, it requires a unit of PIF management at EF-MSU, so that the implementation of PIF more planned and effective.
Spatial modeling of poverty level in Kepulauan Bangka Belitung province
Authors: Perdana Hutapea Andre Ridho , Priyo Utomo Agung 
Published: June 2020

AbstractPoverty is still the biggest problem in the world, including in Indonesia. Based on BPS-Statistics data, in 2017, there are 10.64 percent or about 27.77 millions of Indonesian people are poor. One of the regions in Indonesia that experienced a significant slowdown in poverty reduction is Kepulauan Bangka Belitung Province. Differences in characteristics between regions in Kepulauan Bangka Belitung allow poverty levels to have different causal factors in each region. This study aims to identify and analyze variables that affect poverty levels in Kepulauan Bangka Belitung Province by considering differences in characteristics between regions. The unit of analysis in this study is the sub-district and analyzed using the Geographically Weighted Regression (GWR) model. This study uses data of 6,523 households from all regencies/cities in Kepulauan Bangka Belitung Province, which collected from the field study by students of Politeknik Statistika STIS in 2017. The results of the analysis show that the effect of education levels, health conditions, unemployment rates, the agricultural sector, and labor productivity on poverty levels varies spatially. These results indicate that handling of the poverty problem should pay attention to differences in characteristics between regions (sub-districts).
Prediction algorithms to forecast air pollution in Delhi India on a decade
Authors: Taufik Muhamad Rifki , Rosanti Eka , Eka Prasetya Tofan Agung , Wijayanti Septiarini Tri 
Published: June 2020

Abstract
According to the WHO Global Ambient Air Quality Database in the past two years, there are more than 4300 cities and settlements in 108 countries where have nearly doubled, especially in Delhi, India. Preventing unwanted events is a mandatory crucial step by forecasting air pollution identifying air quality levels and recognizing the associated health impacts. Aim of this paper to forecast air pollution using four prediction models i.e. Naïve Bayesian, Auto Regressive Integrated Moving Average (ARIMA), Exponential Smoothing, and TBATS. The data were obtained from the official website of the Indian government where this research analyzed time-series data from 2005-2015 consisted of PM10, SO2, and NO2 with time variables day, month, and year. The time series set was managed to be monthly in ten years. Moreover, the series was split into a training set and testing set with a ratio 75:25. The training set was utilized to build prediction models and the testing set would evaluate forecasting results. Forecasting results showed all models gave acceptable prediction and according to the error, the ARIMA and exponential smoothing models were the potential prediction model for air pollution data.
Performance of robust EWMA control chart for variability process using non-normal data
Authors: Prabawani N A , Mashuri M , Irhamah  
Published: June 2020

Abstract
The main purpose of quality control is to quickly detect the presence of assignable causes and shifts in the process so that an investigation of the process can be carry out as early as possible. The Shewhart control chart provides good performance when the observation data is normally distributed, whereas when the normality assumption is not met, a Robust control chart is needed. The performance of the control chart depends on the stability of the estimator used to estimate the process parameters and establish control limits in phase I. In this study, a Robust Exponentially Weighted Moving Average (EWMA) control chart will be present to monitor process variability using one of estimator Robust scale to estimate standard deviation. This estimator is used to develop robust control limits. Then evaluate the control chart performance using Average Run Length (ARL) and Standard Deviation Run Length (SDRL) with Monte Carlo simulation. Furthermore, the robust chart was applied to monitor the quality characteristics of the number of bacterial colonies in each aquaculture medicine product. The results obtained in this study are formed a control chart that is resistant to the existence of outliers and sensitive to shifts in the process of variability.
A comparative study for Bitcoin cryptocurrency forecasting in period 2017-2019
Authors: Septiarini Tri Wijayanti , Taufik Muhamad Rifki , Afif Mufti , Rukminastiti Masyrifah Atika 
Published: June 2020

Abstract
The objective of this study were (i) to construct the classical statistic and artificial intelligent model for predicting bitcoin cryptocurrency, and (ii) to compare the predicting performance by using root mean square error (RMSE) and mean square error (MSE) as forecasting evaluation tool. The observation data used in this study were collected during January, 5 2017 to October, 1 2019 (in total 1,000 daily observation data). The statistical method used in this study were ARIMA (Autoregressive Moving Average) and Exponential Smoothing. The artificial intelligent model were used in this study were fuzzy time series and ANFIS (Adaptive Neuro Fuzzy Inference System). The partitions data set were of 75%-25% of training and testing, respectively. The cryptocurrency investigated was bitcoin (BTC) which is the top three of most widely traded cryptocurrency. The forecasting results show that the classical method has the smallest value of RMSE and MSE which is exponential smoothing with 9749.81 for MSE and 98.74 for RMSE. However, the performance of forecasting method cannot be guaranteed from either classical or modern forecasting method. Analyzing with different method can be considered for future study, for example machine learning, neural network, modified fuzzy time series, etc.