bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Science Motivation Based on Learning of Conventional, Realistic and Hybrid Image In Chemistry
Authors: Rery Rusman , Copriady Jimmi , alimin Masnaini , wilda albeta Sri 
Published: November 2020

Abstract
Learning outcomes are a description of the development of student knowledge starting from the learning process to the end of the education program when students graduate. This study aims to analyse the differences in student scientific motivation from the aspects of self-efficacy, responsibility and student curiosity in learning chemistry (used a conventional, realistic and hybrid image). The sample of this research was 100 students from high school were surveyed in the Pekanbaru. This study used a science motivation questionnaire with variables of self-efficacy, responsibility and anxiety. The research data were analysed using SPSS by looking at the frequency with which students answered each item of questioner. The results showed that students had high motivation from the self-efficacy aspect. Students also have a sense of responsibility to learn well in the teaching and learning process. And have a high sense of anxiety
Application of Portable Soil Strength Probe on Bengkalis’ Peat
Authors: Yusa M , Koyama A , Yamamoto K , Sutikno S , Nasrul B , Fatnanta F , Fauzi M 
Published: November 2020

Abstract
Peat shear strength measurement in the laboratory is very challenging because undisturbed sampling of very soft peat is very difficult to get. Traditional in-situ test such as standard penetration test (SPT) and cone penetration test (CPT) on peat also have problems i.e. they are very heavy and the measurement is not sensitive on very soft peat. This study described the application of portable soil strength probe on peat. The tool can measure penetration resistance in term of stress and torsion in newton meter. Peat samplings and physical laboratory tests were also conducted. The location of the study is Bengkalis Regency, Riau Province. The result revealed that peat (up to 6-meter depth) at the location is mainly sapric, low ash content with water content more 1000%. Penetration resistance is predominantly 400 kPa. While shear test depicts that peat is mainly frictional with friction angle mainly between 17-21 degrees and very low cohesion i.e. 0.8-3kPa. This study revealed that fibre content correlate moderately with penetration resistance and shear strength. this preliminary work suggested that soil strength probe may be useful for peat characterization.
Development of Internet GIS Application of Traditional Tourism Village Koto Baru, South Solok, West Sumatra, Indonesia
Authors: Afnarius Surya , Akbar Fajril , Hasanah Zikriya , Ikhwan  , Putra Hafid Yoza 
Published: November 2020

AbstractThe halal tourism industry is rapidly developing and has become a current trend. It is a subcategory of tourism geared towards offering services that comply with Islamic principles for tourists. Indonesia has excellent potential for the development of this tourism industry because it is majorly populated with Muslims. For the first time, the country and Malaysia were ranked the world’s best halal tourist destinations in 2019. One of the oldest halal destinations in Indonesia is the Thousand Big Houses Area, in Koto Baru village, West Sumatra. However, due to limited information and technology, this area is less visited by tourists despite being hundreds of years old with the Minangkabau traditional building, which acts as a tourist attraction. Therefore, one of the solutions to help introduce this house to the world is developing an Internet Geographic Information System (GIS) for the village. This research aims to develop this application using the waterfall software development method. The application was programmed using PHP and Javascript, while its user interface was developed using the CSS Bootstrap framework. The results showed that the output was in accordance with the expectations that the app can be used to promote the village.
Potential of Secondary Metabolite from Marine Heterotrophic Bacteria against Pathogenic Bacteria in Aquaculture
Authors: Feliatra F , Mardalisa M , Setiadi J , Lukistyowaty I , Hutasoit A Y 
Published: November 2020

Abstract
Marine bacteria including heterotrophic bacteria are the most numerous organisms in nature and are capable of producing secondary metabolites. The secondary metabolite produced is a molecular compound produced from the secondary metabolic process, generally can be in the form of antibiotics, enzyme inhibitors, toxins, growth regulators, hormones, and insecticides. This study aims to examine the inhibitory ability of secondary metabolites of heterotrophic bacteria to the activity of pathogenic bacteria Aeromonas hydrophilla, Pseudomonas aeruginosa, and Vibrio alginolyticus. Around 10 heterotrophic bacterial isolates from the Marine Microbiology Laboratory collection, Fisheries and Marine Sciences Faculty, University of Riau was tested on pathogenic bacteria based on the Kirby-Bauer disk diffusion method. The results showed that all heterotrophic bacterial isolates were capable of inhibiting the growth of pathogenic bacteria such as A. hydrophilla (P), P. aeruginosa (Q), and V. alginolyticus (R). Vagococus fluvialis isolates are the best heterotrophic bacterial isolates in producing secondary metabolites compared to 9 other isolates. Where the clear zone formed is wider, that is 12.35 mm with the results of the activity test of 1877.78 mm2/ml. Based on the results, the heterotrophic bacteria are capable of producing secondary metabolites that inhibit the growth of pathogenic bacteria.
Development of Learning Flow for KPK Based on Interactive Multimedia Assisted RME Based on Students PGSD UNRI
Authors: Alim J A , Hermita N , Sari I K , Alpusari M , Sulastio A , Mulyani E A , Putra R A , Arnawa I M 
Published: November 2020

Abstract
This study develops a learning trajectory with the Realistic Mathematics Education (RME) approach which is assisted by interactive multimedia that are valid, practical, and effective for learning KPK topics on PGSD UNRI students in low-grade mathematics subjects. The research method used is design research (design research), which is characterized by a cyclical process of preparing for the experiment, conducting the experiment, and retrospective analysis. This research is focused on designing the learning flow, validating it, and then testing it one-to-one and in small groups. The revised learning flow is then implemented in the classroom. Research data were collected through observation, interviews, checklist, video taping, analysis of student work, and tests. The collected data is analyzed by quantitatively and qualitatively. From the research that has been carried out, the KPK learning flow has been generated in the valid students of PGSD UNRI in terms of RME state-of-the art, content and construction. In its implementation, the learning flow that is designed can work in accordance with what was hypothesized, so students can rediscover concepts in the KPK topic through horizontal and vertical processes of mathematical process. The resulting learning flow is also effective in improving students’ mathematical reasoning abilities.
The Effectiveness of Constructivism-based STEM Learning on Student Motivation and Learning Activity
Authors: Yustina  
Published: November 2020

Abstract
Research to examine students’ motivation and learning activities through constructivism-based STEM learning has been carried out from January to April 2020 at “SMP Purnama Pekanbaru”. The design of one group used a purposive sampling technique, that is class IX which chooses extracurricular biotechnology. Data collection used observation sheets of learning activities and questionnaire sheets about student learning motivation. Data of frequency and percentage is calculated and analyzed descriptively.The results show that learning biotechnology through the constructivism-based STEM approach is effective in increasing motivation and recycling activities of waste into fish pellets.
Identification of Misconceptions and Causes of Student Misconceptions on Genetics Concept with CRI Method
Authors: Gusmalini Amelia , Wulandari Sri , Zulfarina  
Published: November 2020

Abstract
This study aimed to identify students’ misconceptions and causes of students’ misconceptions on genetics concepts with Certainty Response Index (CRI). This research was conducted at Sains Tahfizh Islamic Center Senior High School in Siak with a sample is students’ of grade XII science program. Students’ misconceptions were identified by using 20 items multiple choices accompanied by CRI sheets with four scales of beliefs, which are very sure, sure, not sure, and very unsure. The causes of students’ misconception were identified using a students’ response questionnaire with three indicators of misconceptions causes, namely context, students’, and teachers. The data of students’ questionnaire were analyzed using a Likert-4 scale. The result showed 42.1% of students’ experienced misconceptions, 37.8% of students’ know the concepts, and 22.4% of students’ did not know the concepts. The cause of misconceptions in this research is in term of the genetic concept itself. This is evidenced by the result of students’ responses questionnaire analysis which showed an average of 79.6% students’ agreed that the scope of the context of genetics concepts is very broad and has difficult terms, so that it triggers students misconceptions.
Development of the PDEODE-WEB Model in Blended Learning to Improve the Students Critical Thinking Skills
Authors: Mailani T. , Zulfarina  , Syafii W. 
Published: November 2020

Abstract
The purpose of the study was to determine (1) the quality of the predict-discuss-explain-observe-discuss-explain-website (PDEODE-WEB) development in the blended learning of digestive system covered in valid aspects, (2) the impact of the PDEODE-WEB in blended learning on digestive system toward the critical thinking skill of high school students. Type of this research is a 4D that include Define, Design, Development, and Disseminate. Data analysis techniques that used are descriptive and inferential statistics using ANAVA tests. Research shows that (1) the results obtained from the PDEODE-WEB model in Blended Learning with tools, are empirically valid and reliable in learning, (2) the PDEODE-WEB model in Blended Learning has a significant influence on improving the thinking skills of SMA XI students at SMAN 4 Pekanbaru. This result is proven by the ANAVA test results with a Sig < 0.05. Then it can be concluded that there are improved thinking skills of students who learn to use PDEODE-WEB in Blended Learning. Therefore, the PDEODE-WEB model in Blended Learning can effectively improve the students' critical thinking skills on the digestive system material and found an average value of N-Gain of 0.6 with a moderate category.
Improving Critical Thinking Skills Of Senior High School Students Using The Problem Based Learning Model
Authors: Setiawan Heri Jaka , Islami Nur 
Published: November 2020

Abstract
The problem currently faced by physics teacher is the students are less skilled in developing their critical thinking skills. Students critical thinking skill can be improved by applying learning methods that require students to be more active during the learning activities. One method that can be used to improve students critical thinking skill is to use the Problem Based Learning model. This research used qualitative research methods. Qualitative research methods used to obtain a description and analysis of the problem to be researched. This research was conducted in class XII Science 1 of SMA Negeri 1 Rumbio Jaya. The steps that can be used to determine student’s mental activities in critical thinking solve a problem are identify, define, enumerate, analyze, list, and self-correct. The applying of Problem Based Learning models in the learning process in class has a real impact on improving students critical thinking skills.
The Need Analysis in the Development of Students’ Virtual STEM Project for Science Education
Authors: Hakim Lukman , Yennita Y , Zulirfan Z , Hermita Neni 
Published: November 2020

Abstract
The 21st century learning outcomes emphasize high-order thinking skills and information technology literacy. Using these skills, students can solve problems and think innovatively. Even though it has not been implemented optimally, STEM is a learning approach that is considered to be able to build high-level thinking skills of students. This study is an analysis phase in the development of virtual STEM for learning science. There were 52 respondents who participated in this survey. They are science teacher in Riau and Kepulauan Riau province. A questionnaire was used to identify the extent of respondents 'understanding about STEM and STEM implementation. The questionnaire also identified science teachers’ view of virtual STEM and the availability of computer facilities that support virtual STEM both at school and at students' homes. In this study, we found that some science teachers have already understood STEM but have not yet been implemented in their teaching. Especially for electrical circuit material, a virtual STEM project can be used as an alternative to overcome the problem of time constraints in running a project and is expected to improve the ability to think creatively.
Environmental Education in Grammar Learning Process for Junior High School students by using Multifunctional English Learning Media (MELDe)
Authors: Islami Annisa Permata 
Published: November 2020

Abstract
The teaching and learning process is no longer what it used to be. If the learning process is not adapted to the times, students will not be interested and the learning process will be ineffective, likewise with learning English in Indonesia, especially in grammar learning process. The inadequacy of learning media has decreased student enthusiasm and motivation in learning grammar. Previous researchers have relied primarily on one learning model without combining it with other models. This situation can actually lead the students’ tedium because there is no combination of several learning models. Therefore, this paper presents MELDe (Multifunctional English Learning Devices) as a smart solution to overcoming this problem. This research used Research and Development Methodology with 20 islamic junior high school students randomly in Pekanbaru as the samples. The research has distributed the questionnaire and MELDe learning media demo video via Google Form and Youtube to obtain the data needed. The data analysis technique used qualitative data in a descriptive form that described the practicality of MELDe. The practicality observation for MELDe, which used the ADDIE model, aimed to observe the practicality of this learning media as an English learning tool, especially on grammar material. All scores in the assessment aspect have been calculated and got an average score of 77.2% in the 'practical' category. Therefore, MELDe is stated to be ‘practical’ for junior high school students in learning English grammar and can be boosted up the enthusiasm of students in learning process.
Motivation and Skills of Science Teachers’ Online Teaching through Online Learning Training in The Covid-19 Period in Pekanbaru Indonesia
Authors: Taufik Hendra , Yustina  
Published: November 2020

Abstract
The purpose of this study was to analyze the motivation and skills of science teachers' online teaching through online teaching mentoring training in Pekanbaru in the month of May-July 2020. The subject of this descriptive study was the teachers participating in the training. Online training materials include Google classroom, Google form, slides, and videos. The training used the methods of simulation, training, modeling, and production of science teachers' online teaching videos. The research parameters were that five indicators of science teachers' online teaching motivation and ten indicators of skills from 4 aspects, namely the concept of online learning, implementation of Google classroom in learning, modeling of online learning, and online learning video products. Data collection instruments used the Google questionnaire form pretest-posttest and portfolio. Data is presented and analyzed descriptively. The results obtained the average value of teachers' online teaching motivation increased from a mean score of 67.2 (pretest) to 81.8 (posttest) with N-Gain 0.44, which is classified as effective. Teachers' online learning skills increased from a mean score of 55 (pretest) to 78 (posttest) with an N-Gain of 0.56, which is classified as effective. In conclusion, online teaching mentoring training is effective in increasing the motivation and online teaching skills of science teachers during the COVID-19 period in Pekanbaru.
Mathematics Teaching Videos with the Context of Riau Culture to Enhance the Mathematical Problem Solving Ability of Class VIII Students on the Material of Polyhedron
Authors: Yani Casmi Fitri , Murni Atma , Roza Yenita 
Published: November 2020

Abstract
This development research is based on low ability of students to solve mathematical problems (Mathematical Problem Solving Ability or MPSA) and the lack of learning devices which can be used as solution for these problems. This research was originally aimed at developing learning devices which is syllabus, lesson plans (LP), and student worksheet (SW). Due to the Covid-19 pandemic outbreak and online learning must be taken, the learning is supplemented with the preparation of learning videos. The development model used refers to the Borg & Gall model, but it has not gone through all phases. The phases that were completed: research and data collection; plan; development of initial product designs; first field trials; and product revisions. The following stages whose implementation requires formal classes cannot be performed. The resulting products are in the form of syllabus, lesson plans, student worksheet and math learning videos using the discovery learning model with Riau's cultural context on the Polyhedron material. Validity and practicability measurement was performed for syllabus, lesson plans, and student worksheets, while learning videos used directly. The results showed that the learning devices were categorized as valid and very practical for improving MPSA.
Learning Partial Differential Equations from Noisy Data using Neural Networks
Authors: Srivastava Kashvi , Ahlawat Mihir , Singh Jaskaran , Kumar Vivek 
Published: November 2020

Abstract
The problem of learning partial differential equations (PDEs) from given data is investigated here. Several algorithms have been developed for PDE learning from accurate data sets. These include using sparse optimization for approximating the coefficients of candidate terms in a general PDE model. In this work, the study is extended to spatiotemporal data sets with various noise levels. We compare the performance of conventional and novel methods for denoising the data. Different architectures of neural networks are used to denoise data and approximate derivatives. These methods are numerically tested on the linear convection-diffusion equation and the nonlinear convection-diffusion equation (Burgers’ equation). Results suggest that modification in the hidden units/hidden layers in the network architecture have an effect on the accuracy of approximations with a significant rate. This is a further improvement on the previously known denoising methods of finite differences, polynomial regression splines and single layer neural network.
Computational Implementation of Required Industrial Unit Operations for Bio-Plastic Production From Starch Extracted from Banana Peels by Aerobic Fermentation using Rizophus Oryzae
Authors: Bello A , Morales K , Sánchez L , Lidueñez V , Leal A , Gelves G 
Published: November 2020

Abstract
In this research computer modeling was performed with the SuperPro Designer Software to simulate the industrial-scale production of poly-lactic acid using the Rizophus oryzae fungus. The previous to predict the higher output of poly-lactic acid from different strategies: in the first study, a PLA production of 5.56 (kg/h) was obtained with an operating cost of USD 121,722,644/year. Based on the results, improvements were made to the process. The first alternative resulted in a PLA production of 43.64 (kg/h) with a total operating cost of USD 37,356,085/year. The second improved significant differences in terms of the most massive production of PLA was 64.97 (kg/h), with an annual operating cost of USD 55,334,811 being the most promising to be carried on an industrial scale.
Cinema Sound: Characteristics and 3D Acoustic Measurements
Authors: Tronchin L , Scaroni N 
Published: November 2020

Abstract
In 2014, an SMPTE report stated that sound consistency between dubbing stages and performance venues was not respected. SMPTE technical commission studied this issue in 3 commercial cinemas and 3 dubbing stages in Hollywood using the impulse response method. This lack in sound consistency is probably imputable to the use of a wrong calibration system (RTA + Pink Noise Method) that is time-blind and does not mimic the perceptual listening of the human being. A campaign of measurements has been conducted in Rome to test the acoustic properties of a dubbing stage room and a cinema performance room. Two measurement systems were implemented: One for the extraction of ISO 3382 parameters (Omni, Binaural, Soundfield) and one for studying the spatial distribution of sound in the room (EigenmikeTM).
Increasing the Solidity of Masonry Walls Made of Cellular Concrete Blocks of Autoclave Hardening by using Polyurethane Foam Adhesive Composition as a Masonry Solution
Authors: Dzhamuev B K 
Published: November 2020

Abstract
The article presents the results of experimental studies of determining the strength of normal adhesion (under axial tension) in the masonry of cellular concrete blocks of autoclave hardening classes for compressive strength B1.5 ÷ B3.5 on various cement solutions and polyurethane foam adhesives. Tests were carried out in the Laboratory of the Department of «Reinforced Concrete and Stone Structures» of Moscow State University of Civil Engineering on experimental samples representing two cubes of 150x150x150 mm in size, sawn out of cellular concrete blocks and bonded (glued) together using masonry (binding) compositions. The analysis of research results was performed and the value of the percentage of increase in normal adhesion in masonry when using polyurethane foam adhesives in masonry joints instead of cement masonry solutions was determined.
Random Forest for Human Daily Activity Recognition
Authors: Nurwulan Nurul Retno , Selamaj Gjergji 
Published: November 2020

Abstract
Machine learning classifiers are often used to evaluate the predicting accuracy of human activity recognition. This study aimed to evaluate the performance of random forest (RF) compared to other classifiers with considering the time taken to build the models. Human activity daily living data, namely walking, walking upstairs, walking downstairs, sitting, standing, and lying down were collected from smartphone-based accelerometer with sampling frequency of 50Hz. The dataset was evaluated using artificial neural network (ANN), k-nearest neighbors (KNN), linear discriminant analysis (LDA), naïve Bayes (NB), support vector machine (SVM), and random forest (RF). The results of the study showed that RF indeed predicted the activities with the highest accuracy. However, the time taken to build the models using RF was the second-longest after ANN.