bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integration of Learning Science, Technology, Engineering, and Mathematics (STEM) in The Wetland Environment Area to Increase Students’ Creativity
Authors: Susilowati E , Miriam S , Suyidno S , Sholahuddin A , Winarno N 
Published: June 2020

Abstract
In the era of industrial revolution 4.0, creativity is a key factor to face the challenges and opportunities of the increasingly complex development of science and technology. This requires the world of education, especially those located in the wetland environment to develop student creativity in exploring and maximizing the potential of the surrounding wetland environment. This study aims to determine the effect of STEM-based learning on the level of scientific creativity of students in solving renewable energy problems in the wetland environment. This research has involved 45 students who have applied Physics courses. The research method used is qualitative and quantitative methods (mixed methods) to determine the level of student creativity based on creativity review as 4P (Person, Process, Product, and Press). The results showed that the level of student creativity was influenced by STEM-based learning; where creativity is a key factor in the integration of science, technology, engineering, and mathematics, and its application in solving problems in the wetland environment.
Picsar (Physics Augmented Reality) as a Learning Media to Practice Abstract Thinking Skills in Atomic Model
Authors: Nandyansah W , Suprapto N , Mubarok H 
Published: June 2020

Abstract
The research aimed at developing an augmented reality-based learning media to train abstract thinking skills that are feasible (practical and effective). Development research using the ADDIE model (Analysis, Design, Develop, Implementation, and Evaluation) guided the research methodology. Specifically, a one-shot case study was utilised in the research trial design. In the Spring Semester 2019, thirty three students from private high school in Surabaya implied the Picsar (Physics Augmented Reality). Data collection techniques used the form of observation sheet learning to assess the practicality of the media, assessment sheets, and student response questionnaires to assess the effectiveness of the media. The results of the research obtained some important points: 1) the percentage of learning implementation was 98.14% with a very good category; 2) the percentage of students’ abstract thinking skills indicated in varying numbers: 100% of proportional reasoning with very good categories, 66.67% of probabilistic reasoning with good categories, 75.76% combinatorial reasoning with good categories, and 66.67% of correlation reasoning with a good category), and the percentage of students’ responses by 92.76% with a very good category.
The Effect of Solution Concentration and Deposition Time on Viscoelasticity and Morphology of Polyaniline Coating
Authors: Rahayu E I P , Putri N P 
Published: June 2020

Abstract
As one of the most studied conductive polymers, polyaniline (PANi) has a variety of applications, one of which is an active gas sensor, due to the presence of amine and imine groups in PANi that can easily react with gas. Quartz crystal microbalance (QCM) is a piezoelectric sensor with the working principle of frequency changes as a result of changes in mass on its surface. As an active gas sensor material on the QCM substrate, PANi must be deposited in the form of a thin layer. A good quality of thin film is if the film does not give loading the effect on QCM and has a homogeneous morphology. This research has succeeded in depositing PANi thin films by surface polymerization method by varying the parameters of PANi solution concentration and deposition time. Deposition parameters that are varied can be seen its effect on the viscoelasticity and morphology of PANi thin film formed. The viscoelasticity of the thin film was interpreted from the measurement of the thin layer impedance using an impedance analyser, while the morphology of the thin film was characterized using SEM. From the results of this study it was found that with the surface polymerization method, the PANi thin layer impedance value changes with the deposition time which is getting longer, but the change in impedance value is not significant and does not give a loading effect on QCM. At the same deposition time with different solution concentrations, the impedance value of the formed layer also does not give a loading effect on QCM. Although it has successfully deposited PANi with a surface polymerization method, the morphology of the PANi film formed is not yet homogeneous, as seen from the formation of PANi agglomeration on the QCM surface.
Implementation of Problem Based Learning to Train Physics Students’ Problem Solving Skills
Authors: Hidaayatullaah H N , Dwikoranto  , Suprapto N , Mubarok H , Wulandari D 
Published: June 2020

Abstract
Problem solving skills (PSS) are the skills needed to face the challenges of the industrial revolution 4.0, which need to be developed through the learning process, and are still a challenge for teachers today. This study aims to determine the effect of the implementation of problem-based learning (PBL) in practicing students’ problem solving abilities on material momentum and impulses. The research utilised a pre-experimental design with one-group pretest-posttest paradigm. The sample in this study consisted of 3 groups: one experimental group and two replication groups. The results showed that the implementation of PBL affected the problem solving abilities of students in the experimental and replication groups. The three groups experienced a different increase of PSS due to several factors, namely the implementation of learning, the existence of different student intelligence and student activities during learning.
Multidisciplinary, Interdisciplinary, and Transdisciplinary Approaches in Literacy Learning Model
Authors: Sunarti T , Wasis W , Madlazin M , Suyidno S 
Published: June 2020

Abstract
A multidisciplinary, interdisciplinary, and transdisciplinary approach has an important contribution to designing a quality model. The purpose of this study is to determine the feasibility of the Literacy Learning Model (LLM) based on a review of multidisciplinary, interdisciplinary, and transdisciplinary approaches. The research included a meta-analysis study through a review of 23 previous articles relating to the contribution of physics, educational psychology, and technology in LLM design. Data collected is done by reduction, identifying variable, mind map, exposure, and conclusion. The results showed that physics, educational psychology, and technology; also multidisciplinary, interdisciplinary, and transdisciplinary approaches have contributed to the LLM design. This has made the feasibility of LLM as an innovative learning design to train literacy learning planning for pre-service physics students.
Crustal Structure Beneath KLNI Station in Lombok Island Based on Teleseismic Receiver Function
Authors: Ariyanto P , Ariwibowo S , Wijaya A , Pratama R 
Published: June 2020

Abstract
Lombok Island is part of the Sunda-Banda arc system which is one of the most active tectonic regions in the world. In Lombok area there are two subduction zones namely Java trench in the south and Flores back arc thrust in the north. Information on crustal structure is needed to explain the tectonic development and geodynamic interaction of the area. The receiver function is one of the techniques used in the study to identify subsurface and wave velocity structures based on earthquake data regardless of the source mechanism. We analyzed receiver function of teleseismic events (epicenter distance 30-90°) and magnitude more than 6 (M>6) to estimate crustal thickness, Vp/Vs ratio and wave velocity structure beneath KLNI station using H-κ stacking and inversion method. We obtained that the crustal thickness and Vp/Vs ratio beneath KLNI station is about 21.38 km and 2.05. The high Vp/Vs ratio might be an indication of partial melting related to the upwelling of hot asthenosphere material through the subduction slab of Java Trench. The depth of the low velocity zone beneath KLNI station is at 10-18 km which is estimated due to the presence of geothermal
Triggering Students’ Scientific Literacy through Static Fluid Scrapbook
Authors: Yuniar R E , Suprapto N , Mubarok H 
Published: June 2020

Abstract
The research was purposed to describe science literacy after the implementation of the scrapbook as a media in a static fluid. The research utilised pre experimental design with one-group pre-test and post-test design. A group of 36 students of public high school in East Java Indonesia was invited as the research participants. The instrument consisted of literacy test and documentation guidance was used in data collection. Pre-test and post-test scores were analysed with paired t-test in describing science literacy improvement, n-gain analyses was aimed at describing science literacy improvement category. The averaged of pre-test score was 35 and the post-test score was 71. The t-test result was t = 34.63, with ttable
= 2.03 (t > ttable
). Meanwhile, the result of gain score analysis was 0.55. Based on that result, it showed that the implementation of the scrapbook as a media could improve students’ scientific literacy especially in static fluid concept. The researchers also predict that it enhance students’ scientific literacy in another physics concept.
Porosity Characteristics and Electrochemical Performance of rGO Coconut Shell as Supercapacitor Electrodes
Authors: Kusumawati D H , Putri N P , Asnawi  , Dewi T S , Munasir  
Published: June 2020

Abstract
Supercapacitor is a device which is currently being researched. Research on supercapacitors can be done from various aspects, including the supercapacitor electrodes, electronic materials or dielectric materials as well as the electrochemical performance of supercapacitors. In the research that has been done, has been obtained rGO material that has a specific capacitance value of 485.97 F / gram with calcination temperature of 1000°C and an ultrasonication time of 2.5 hours. The reduction of Graphene Oxide has fulfilled the standards as a supercapacitor. Another characteristic that must be fulfilled as a supercapacitor is porosity, to determine the ability of adsorption and desorption, as well as electrochemical performance. The results of BET characterization for rGO produced from coconut shells that the largest distribution in the adsorption process was 0.00192 cc/nm/g at a pore diameter of 35.68 nm, while the largest desorption distribution was at 0.00211 cc/nm/g at pore diameter 35.63 nm. So that it can be categorized that rGO is a mesoporous category with a pore diameter of 35.63 - 35.68 nm. Cyclic Voltammetry characterization results obtained that rGO has a reversible curve and is very wide in rGO with 2.5 hours ultrasonication.
Contribution of Physics Learning Laboratory on Laboratory Management Course
Authors: Nilawati W , Fitri U R , Susanti D , Maulana S 
Published: June 2020

Abstract
This research aims to determine the contribution of physics learning laboratories to laboratory management courses. The method used in this research is descriptive quantitative and qualitative. The qualitative research process is circular in nature and quantitative is linear. The results of this study indicate that the learning laboratory owned by the Physics Education Study Program, Universitas Negeri Jakarta obtained a percentage of 100% for five categories: minimal area, capacity, lighting, cleanliness and tidiness, and infrastructure, while 87.5% for the room facilities category. The value of 87.5% was obtained because there were some components that did not fit the criteria of a good learning laboratory. The contribution to laboratory management courses shows that four of the five basic competencies (laboratory administration, standardization of physics laboratories, operation of laboratory support equipment and laboratory work safety) are carried out in an integrated manner with physics learning laboratories, while laboratory competence and functions can be done theoretically in class. Based on the results and discussion above, it can be concluded that the physics learning laboratory of the Physics Education Study Program, Universitas Negeri Jakarta has quality with a very decent category and has a major contribution in supporting laboratory management lectures.
The Design of Information System for Physics Learning Media Laboratory
Authors: Fitri U R , Sugihartono I , Maulana S , Aprilia R 
Published: June 2020

Abstract
This study aims to develop information systems for physics learning media laboratory and facilitate students in obtaining academic information, especially physics education laboratory. The research method used is research and development with ADDIE model. The developed web-based information system then will be tested by students from the academic community/academic program of physics education and from outside people to use the online data system. Users who have used a web-based information system are required to fill out the online questionnaire available on the web page. The results obtained from 30 physics education program students are 92.0% with very good criteria and same criteria is obtained from 20 outside users or other institutions with value 91.0%. According to the result obtained from the test indicator, it can be concluded that the web-based information system that has been made meets the eligibility requirements to be used as laboratory services to meet the needs of physics education students.
Modelling the effects of Psychological Well-Being Attributes on Students’ Happiness
Authors: Khairuddin M T , Mahmud Z 
Published: June 2020

Abstract
Assessing psychological well-being of students and their happiness towards life is important towards building a healthy nation and future generation with sound mental state. This study describes the effects of psychological well-being attributes on the happiness of students using hierarchical regression modelling. The attributes which include general health, vitality, self-acceptance, academic stress, self-control, and positive relation are measured in a questionnaire developed based on a focus group interview and sources relating to psychological well-being issues. A sample of 384 undergraduate students under the Science and Technology programmes of study from a local public university in Malaysia were surveyed. The study shows that there are highly significant positive effects of students’ general health, vitality, and self-acceptance on their happiness with self-acceptance being the most important predictor. Even though academic stress and self-control are not significantly related, these attributes are found to be negatively related with happiness. Generally within the context of this study, students’ happiness at this public university are associated with strong vitality, and high self-acceptance and strong positive relation with peers.
The Classification Performance using Support Vector Machine for Endemic Dengue Cases
Authors: Nordin N I , Mohd Sobri N , Ismail N A , Zulkifli S N , Abd Razak N F , Mahmud M 
Published: June 2020

Abstract
Dengue fever (DF) and the potentially fatal dengue haemorrhagic fever (DHF) are continue to be a crucial public health concern in Malaysia. This paper proposes a prediction model that incorporates Support Vector Machine (SVM) in predicting future dengue outbreak. Datasets used in the undertaken study includes data on dengue cases provided by the Health Department in Kelantan, Malaysia. Data scaling were applied to normalize the range of features before being fed into the training model. In this regard, SVM models built on the basis of three different kernel functions including Gaussian radial basis function (RBF), polynomial function and linear function. The SVM with RBF kernel function was superior to the other techniques because it obtains the highest prediction accuracy of 85%. The polynomial is an alternative model that can achieve a high prediction performance in terms of sensitivity (76%) and specificity (87%).
Exploring the Importance of Players’ Characteristics and Performance on Serve and Return of Serve in Winning the Women’s Singles Grand Slam Tennis Tournaments
Authors: Zainan Abidin A W , Ruslan N A S 
Published: June 2020

Abstract
Sports analytics has become very popular in recent years. Many researchers have been using the tools and technique to study tennis player performance in various aspects during matches. However, much of the studies were performed on male players while much less attention were made on female players. This study explores the female players’ characteristics and serve performance that leads to winning matches in women’s singles 2018 Grand Slam tennis tournaments. Using data provided by the official website of the Women Tennis Association (WTA), 1016 single matches in all four 2018 Grand Slam Tournaments were analysed to evaluate winning traits in tennis specifically looking at the two most important strokes in tennis which are the serve and return of serve. Additionally, other personal player characteristics that would influence the match outcomes were also evaluated. To achieve the objectives of the study, odds ratio and chi-square test were used to compare between the match winner and match loser. The study revealed that percentage of first serve return won (PFSRW) has the highest odds ratio value (OR=1.263) followed by the percentage of first serve won (PFSW) with odds ratio equal to 1.244. These showed that having a good first serve, plays an important factor in increasing the winning odds as compared to second serve either in serve or in return of serve. This study also reveals that a taller player had the advantage over a shorter player for faster serve speed (p-value<0.05).
Analysing Online Vacancy and Skills Demand using Text Mining
Authors: Nasir S A Md , Wan Yaacob W F , Wan Aziz W A H 
Published: June 2020

Abstract
The issue of graduates’ employability has become a major concern in many countries as the number of graduates keep increasing over the years. Fresh graduates are experiencing difficulties in finding meaningful employment as the growth in hiring has slowed in the recent period. With the impact of fourth industrial revolution, today graduates face a world transformed by technology. The role of universities in higher education become more challenging in shaping more digital technology graduates with the right skills and knowledge. Problems can be seen at both management level of higher education in producing graduates who can meet the needs of industry while industry is also facing the problem of finding skilled graduates who suit their needs. To examine the work skills demanded from Industry of Malaysian, this study proposed a text mining approach from 465 unstructured data of analyst job vacancies in classifying job titles and extracting vacancy and skills from job descriptions. The methodology involved are text retrieval, text pre-processing, word cloud corpus generation and text clustering. The findings indicate that the selected job posts emphasize more on vacancies information rather than skills needed which further shows the gap existence between the skills demand and supply.
Examining Students’ Aptitude using Project-Based Learning through University-Industry Collaboration
Authors: Ahmad Zukarnain Z , Wan Husain W S , Che Hassan S H , Nik Kamaruzaman N N , Mohd Zin N A , Wan Aziz W A H 
Published: June 2020

AbstractThe University has an important role to prepare their students with the knowledge they need in order to competently compete in professional activities after graduation. In addition to encourage students’ creative thinking skills in multimedia interactive projects, project-based learning aligns students’ views with the industry’s needs, since it gives students the opportunity to do the real world applications beyond the classroom. This paper intends to investigate the impact of project-based learning with collaborative learning on the academic achievement and learning motivation of undergraduate students who are taking Multimedia course. Data analysis were done using descriptive analysis. Based on the survey conducted by this study, most of the students agreed that collaborative learning could help them practice a set of skills that will be demanded by future employers such as creativity, working in group, problem solving techniques, leadership and the ability to generate innovative ideas. These skills help them leverage their interpersonal skills as well as having the knowledge they are learning in the university. The values obtained from the learning process will shape them as quality graduates to serve their future employers.
Evaluating Technical Efficiency of Stock Performance using Copula-Based Stochastic Frontier Analysis Approach
Authors: Arsad R , Isa Z , Ismail N , Razak R Ab 
Published: June 2020

Abstract
This study estimates the technical efficiency for 14 selected Malaysian trading and services companies for 2017 and 2018 using the Cobb-Douglas with the Stochastic Frontier production model. In standard stochastic frontier analysis (SSFA), the two-sided error, statistical noise, and one-sided error, inefficiency term are assumed to be independent. The assumption for statistical noise is normally distributed and the inefficiency term is half-normal distributed. In this paper, the copula model is applied to capture the joint distribution of these two error components. The copula model is an alternative method that is able to account for the joint multivariate distribution. Copula functions can be used to capture rank correlation and tail dependence between two error components, thus making the SFA more flexible. Seven copula models from the Archimedean copula family are considered in this study including the copulas with the trigonometric and hyperbolic generator. This study further compares the technical efficiency yielded by copulas with standard SFA, DEA-CCR and DEA-BCC models. The results raise the question of the reliability of SFA based on the standard model. Since the dependence error between statistical noise and inefficiency error cannot be ignored, the copula-based in SFA models can be considered as an alternative suitable tool for measuring efficiency performance.
Adding feature selection on Naïve Bayes to increase accuracy on classification heart attack disease
Authors: Purnomo Adi , Barata Mula Agung , Soeleman Moch Arief , Alzami Farrikh 
Published: June 2020

Abstract
Feature selection in the classification model has a role to choose relevant and interconnected features in the data mining task. in the medical world, feature selection can help the classification model in predicting heart attack. Naive Bayes is one of the most popular classification learning methods that can help to predict patients in helping paramedics to make decisions. The addition of feature selection in the form of backward elimination can increase the accuracy of Naïve Bayes by 89.45% from 84.29% previously. The results of this study indicate the accuracy of a backward selection method in predicting heart attack is quite high in adding accuracy.