bluuebunny/crossref_metadata_2025 huggingface dataset:
Multivalued function recognition based on spectral clustering
Authors: Huang Zongchao , Zhang Zhaogong , Yu Guanwen
Published: March 2020

In scientific research, bioinformatics, Internet applications, e-commerce and many other application fields, the amount of data is growing at an extremely fast rate. To analyze and utilize these huge data resources, it is necessary to rely on effective data analysis technology. Big data application is a process of mining effective information from big data by using data analysis methods, providing auxiliary decisions for users and realizing the value of big data. In the process of data calculation and analysis, we will often find that the data from the same source will show multiple function images in the same coordinate system, which will make the same variable correspond to multiple values in data prediction analysis. We call it multivalued function here. This paper provides a method to identify multivalued functions. By using the maximum information coefficient (MIC) theory proposed by David n. Reshef, and using the data sampling method to calculate the function identifiability of the data set, then, the spectral clustering method is used for recognition, segment and mark the images of different functions. Finally, the regression function equations with different marks are obtained by Gauss-newton iteration method. The results can be used for data prediction and analysis to assist decision-makers to make reasonable judgments.
Real-time pedestrian detection method based on improved YOLOv3
Authors: Luo Jingting , Wang Yong , Wang Ying
Published: March 2020

Pedestrian detection in image or video data is a very important and challenging task in security surveillance. The difficulty of this task is to locate and detect pedestrians of different scales in complex scenes accurately. To solve these problems, a deep neural network (RT-YOLOv3) is proposed to realize real-time pedestrian detection at different scales in security monitoring. RT-YOLOv3 improves the traditional YOLOv3 algorithm. Firstly, the deep residual network is added to extract vehicle features. Then six convolutional neural networks with different scales are designed and fused with the corresponding scale feature maps in the residual network to form the final feature pyramid to perform pedestrian detection tasks. This method can better characterize pedestrians. In order to further improve the accuracy and generalization ability of the model, a hybrid pedestrian data set training method is used to extract pedestrian data from VOC data set and train with INRIA pedestrian data set. Experiments show that the proposed RT-YOLOv3 method achieves 93.57% accuracy of mAP (mean average precision) and 46.52f/s (number of frames per second). In terms of accuracy, RT-YOLOv3 performs better than Fast R-CNN, Faster R-CNN, YOLO, SSD, YOLOv2 and YOLOv3. This method reduces the missed detection rate and false detection rate, improves the positioning accuracy, and meets the requirements of real-time detection of pedestrian objects.
Research and Application of Data Filtering Technology in High Level Architecture
Authors: Zhengxiong Mao , Yongjun Xue , Huan Wang , Wei Ou
Published: March 2020

High-level architecture provides a general technical framework and an open standard for modelling and distributed simulation. It represents the latest development direction of distributed simulation. This paper mainly introduces the basic knowledge of HLA and two methods of data filtering mechanism. Two classical data filtering methods are discussed. Mixed data filtering methods can effectively reduce the allocation and matching calculation of multicast groups, and improve the efficiency of data filtering.
Incremental Rapidly Grouping Aggregation Method for Similar Web News Headline
Authors: Hu Shengze , He Chunhui , Zhang Chong , Ge Bin , Zhu Huiming , Liu Wei
Published: March 2020

With the popularity of the Internet, real-time web news has been extensively used in human daily life. Because of competition and repetitive reporting between the media, there may be multiple similar news reporting the same searing event, which may waste a lot of time for users to obtain and read the similar news. Hence, how to rapid aggregating similar news to help users obtain relevant news information accurately is a very meaningful and essential study. However, the accuracy of the existing aggregation method needs to be strengthened, and it not meet real-time incremental processing requirements.

In this paper, rapid incremental aggregating a lot of similar news headlines are our main study targets. We proposed a novel Rapidly Grouping Aggregation (RGA) method. It carries out similar news headline aggregation via two core aspects --- Improved Jaro-Winkler (IJW) similarity calculation, normalized mapping and rapidly grouping aggregation. The IJW using hierarchical matching windows to enhance the performance of similarity calculation, and using the MD5 normalization strategy and the Group By function of the MongoDB database to carry out the similarity news headline rapidly grouping. Compared with the state-of-the-art method, the actual system application results show that the RGA method achieves higher performance on similar news headline aggregation tasks.
Contextual multimodal sentiment analysis with information enhancement
Authors: Jiang Dandan , Zou Dongsheng , Deng Zhipeng , Dan Jingpei
Published: March 2020

The results of sentiment analysis research can be applied to various social situations, including human communication understanding and dialogue system. Multimodal sentiment analysis involves the identification of sentiment in videos. This paper proposes a multimodal sentiment analysis framework, in which the Attention-based Bi-directional Gated Recurrent Unit (AT-BiGRU) model is used to obtain the contextual relationship among utterances, and the Information Enhancement Fusion (IE-Fusion) model is used to fuse the multimodal features of each utterance. Experimental results show that our framework achieves 82.85% and 65.77% accuracies on two different benchmark datasets, CMU-MOSI and IEMOCAP, respectively. Our method outperforms the state-of-the-art models on the datasets.
Research Progress on Acquisition and Processing of Rice Disease Images Based on Computer Vision Technology
Authors: Li Hui
Published: March 2020

Rice diseases are an essential factor that affects rice yield and quality, and carrying out researches on rice disease recognition and detection methods is of great significance to the promotion of green and high yield, stable yield, and high-quality and efficient development of rice. The recognition of crop diseases with computer vision technology is characterized by non-destruction, rapidity, real-timeness, and accuracy, etc, and has far-reaching influence on accelerating agricultural modernization and improving production efficiency. Recognition and detection of crop diseases have become a focus and front of research in the field of computer vision technology. The acquisition and processing techniques of rice disease images are researched in this paper, and the basic principles, key techniques, realization methods, and application effects of some typical methods are also analyzed, in the hope of providing reference for the researches on rice disease recognition. Prospect of future development trend and research direction in this field is also predicted.
Urban traffic flow forecast based on dual path network
Authors: Li Hao , Liu Xudong , Kang Yan , Zhang Yachuan , Bu Rongjing
Published: March 2020

Traffic flow prediction is very important for city construction.Time and space factors have a great impact on traffic flow, Traditional traffic prediction methods can only capture temporal correlations and not capture spatial and regional correlations. The use of convolutional neural networks can well capture the correlation between regions and the dependence between time and space, which can make traffic prediction more accurate. Therefore we introduced the dual-path network, and divided the traffic profile after convolution into two paths and trained at the same time. One path is ResNet and one path is DenseNet. The dual path network combines the advantages of these two networks for traffic prediction. The experimental results show that compared with the traditional traffic prediction model, the model not only improves the efficiency of the network but also improves the prediction accuracy of the network.
Impact of Beijing-Guangzhou High-speed Rail on Capital Accumulation in Cities Along the Line
Authors: Cheng Qianwen
Published: March 2020

The development of transportation has triggered regional element flows by changing the location conditions of cities along the route. In recent years, with the full implementation of the National Medium and Long-term Railway Network Plan, China’s high-speed railway network layout has continued to expand, and high-speed rail has become an important means of transportation for people. The development of high-speed railways will definitely have a wide-ranging and far-reaching impact on the concentration of elements along the route. This article takes the Beijing-Guangzhou high-speed rail as an example, adopts the matching idea as the high-speed rail experimental group to match the control group, and estimates the impact of high-speed rail on the accumulation of capital factors by constructing a double difference model. The results show that the completion of the Beijing-Guangzhou high-speed rail has made a significant contribution to capital agglomeration.
Development of a framework to assess preschool children’s numeracy
Authors: Ghazali M , Ashari Z M
Published: March 2020

Children numeracy refers to the ability to do basic arithmetic operations, understanding the simple mathematical ideas and applying the knowledge and skills in mathematics in daily life. It requires an understanding of the ability to process, interpret and communicate numerical in ways that are appropriate for a variety context. This paper will discuss research that was undertaken with the primary purpose of developing the children’s numeracy framework in the following components: comparison, classification, one-to-one correspondence and seriation. The framework was developed based on the existing framework from other researchers and modified to suit with Malaysian preschool curriculum. Feedbacks were obtained from experts and preschool teachers on the suitability of the framework in relation to the National Preschool Standard Curriculum (2010). Six preschool children from 5 to 6 years old were interviewed to ascertain their representation (manipulative model, symbolic, static pictures, written language and spoken language) while answering the question given. The framework that was developed will be presented together with the pilot findings from the interviews.
Teaching mathematics using snakes and ladders game to help students understand angle measurement
Authors: Vitoria L , Ariska R , Farha  , Fauzi
Published: March 2020

Mathematics for young learners should be taught in a fun way, using a familiar context. Incorporating games into the classroom is a way to engage students in mathematics and hence improve their learning outcomes. This article reports a qualitative study conducted to improve students’ understanding of angle measurement by implementing snakes and ladders game. A class consisted of 30 fourth-grade students at a primary school in Banda Aceh, Indonesia, participated in the study. Data on the students’ activity during learning and their learning outcomes were collected using observation sheet and tests. Results showed that the implementation of the snakes and ladders game in the teaching and learning of angles successfully improved the students’ attention during learning and their interactions with the teacher and their peers. There was also a significant improvement in the students’ learning outcomes from the average score of 45 for pre-test to 85 for post-test. These findings suggest that the implementation of snakes and ladders game is beneficial for students’ mathematics learning.
Development of mathematical teaching materials based on project-based learning to improve students’ HOTS and character
Authors: Sofiyan S , Amalia R , Suwardi A B
Published: March 2020

This study aims to develop mathematics teaching materials based on a project- based learning model, that help improve students’ Higher-Order Thinking Skill (HOTS) and character. This type of research is developmental research that adheres to the ADDIE development model, which includes analysis, design, development, implementation, and evaluation. The participants were 25 preservice teachers enrolled at the basic mathematics course in one of university in Aceh, Indonesia. The study results showed that the teaching materials that had been developed were appropriate to use in learning and the feasibility of content, design, and language met the valid criteria. Students’ responses to the teaching materials were very good to support and accomplish lectures. The teaching materials tested were able to improve students’ HOTS, based on the pre-test results with an average score of 67 and the post-test results with an average score of 88. Besides, the average score of student character increased by 20% in the good category and by 16.67% in the very good category. To sum up, the mathematics teaching materials based on the project-based learning model are considered valid, practical, and effective.
The thinking process of quitter students in solving open-ended mathematical problems
Authors: Padliadi  , Marwan  , Zubainur C M
Published: March 2020

Most Indonesian classes consist of many students coming from various background of ethnicity, cultures and fighting power. The fighting power possessed by a student is classified into three levels, namely high (climber), moderate (camper) and low (quitter). The facts in the field show that there are still many quitter students who need teachers to accommodate their needs in solving mathematical problems. One way to help quitter students solve problems is by giving open-ended questions. This research aims to describe the thinking process of quitter students in solving problems through open-ended questions. This research was a descriptive study with a qualitative approach. The research subjects were two seventh- grade students of Banda Aceh SMPN 19, both of them represented quitter students. Data collection was done by giving open-ended math questions and interviews. The results showed that in solving open-ended mathematical problems, quitter students conducted assimilation and accommodation in understanding problems, implemented problem-solving plans and checking problems, and the quitter students thought assimilatively in planning problem solving. This research can be used in considering the selection of methods and strategies appropriate for quitter students in the mathematics learning process.
The teachers ability and response concerning Spatial Orientation
Authors: Johar R , Zubainur C M , Khairunnisak C , Elizar E , Suhartati  , Syukri M
Published: March 2020

This paper examined the profile of secondary school mathematics teachers about spatial orientation. Participants in this study were 20 secondary school teachers who participated in a mathematics learning workshop related to designing a floor plan. Usually, the teacher conducts weekly or monthly meetings through the group of mathematics teachers in Banda Aceh, Indonesia. The teachers were given a spatial orientation test before and after the workshop, four of them were interviewed. The data obtained were analysed descriptively. The results showed that there is an increase in the teacher spatial orientation ability score after the workshop. The findings also reported some teachers had difficulty in solving the spatial orientation problems because they were not familiar with determining the direction. In addition, most teachers agreed that spatial test is necessary for the students despite their concern about the time constraint. Thus, we suggest utilizing technology to overcome such an issue.
Students’ critical mathematical thinking process based on their cognitive styles
Authors: Marjuwita  , Johar R , Zubainur C M
Published: March 2020

Students’ critical mathematical thinking skills are relatively low. Efforts to improve these skills can be made through specific strategies that require information about the critical thinking processes based on students’ cognitive styles. This study is qualitative research that aims to describe students’ mathematical critical thinking process based on their cognitive styles. The subjects were two students, one field-dependent student and one field-independent student. These students were selected based on the cognitive style test (i.e., GEFT) considering their ability to communicate well. The data obtained from the interview were analyzed to describe the students’ critical mathematical thinking process. The results showed that the students with both cognitive styles committed a process of convincing. They tried to reason why they arrived at the solution and convinced others either orally or in writing that every step of the solution was done correctly through a systematic way. Besides, the field-independent student carried out a specializing process in which he investigated the problem carefully, identified the information given, and recognized the information required to solve the problem. In the process of selecting learning methods, teachers need to consider students’ cognitive styles so that mathematical critical thinking skills of students with different cognitive styles will increase.
Conceptual and procedural knowledge of junior high school students through realistic mathematics education (RME) approach
Authors: Maulina R , Zubainur C M , Bahrun
Published: March 2020

Mathematics learning that provides the ready-made concepts and procedures without involving students in re-invention the concepts. RME approach is a solution for upgrading the students’ competency in reconstructing the concepts and creating the procedures to solve the mathematical problems. This research aims to identify the students’ conceptual and procedural knowledge through the RME approach based on the students’ ability level. This study used a mixed-method and involved the Year 7 students as the sample. The data were analyzed using percentage and explained descriptively. The results indicated that the percentage of the procedural knowledge of the high and medium-achieving students was 80%, categorized as very good, while the percentage of the low-achieving students was 42.8% (adequate). The conceptual knowledge of the high, medium and low-achieving students was very good (84%), good (72.7%) and adequate (42.8%). The conceptual knowledge of the low-achieving students was higher than their procedural knowledge by 2,8%. The results showed that the medium-achieving students tended to be varied and flexible in applying their ideas to solve the procedural problems, meanwhile the high-achieving students inclined to memorize the concept and use a formula in solving the problems.
The students’ mastery of fraction and its relation to the students’ abilities on its prerequisites
Authors: Yuniara R , Salasi  , Ellianti  , Saminan  , Abidin Z
Published: March 2020

Fraction is one of the important topics in learning mathematics. However, it is still challenging for students. Lack of students’ mastery of the prerequisite topics might be one of the potential causes. For this reason, this study aims to: 1) Investigate whether students’ mastery of fractions and prerequisite topics in the 7th grade of a junior high school in Banda Aceh, Indonesia has reached the minimum learning mastery standard and 2) Investigate the relationship between students’ mastery of fractions and their abilities to understand the prerequisite topics in the 7th grade of a junior high school in Banda Aceh, Indonesia. This study used a quantitative approach. Data were collected from 50 students selected randomly from all of the 7th grade students in the junior high school. The results showed that the students’ mastery of fractions and their abilities to understand the prerequisites has achieved the minimum learning mastery standard. Also, there is a significant relationship between students’ fractions mastery and their abilities in the prerequisites. Finally, the lack of students’ mastery of the prerequisites resulted in students’ beliefs that the concept of fractions is difficult.
Students’ logical-mathematical intelligence through the problem-solving approach
Authors: Azinar J A , Munzir S , Bahrun
Published: March 2020

Logical-mathematical intelligence is one of the most dominant components of multiple intelligences in mathematics learning because it can be built in all topics in mathematics. Logical-mathematical intelligence is the ability of students in terms of numbers and logic, which involves the skills to process words and numbers, to use logic and analyze problems logically, to find formulas and to do investigations scientifically. The purpose of this study is to describe the logical-mathematical abilities of high school students. A total of 25 seventh-grade students in a junior high school in Banda Aceh participated in this study, but only three of them, with high, medium, and low criteria of logical-mathematical intelligence based on the test results, were selected to observe and analyze their logical-mathematical abilities. Data were conducted from a test and interview. The instrument used in this study was a student test sheet. The results showed that only a small number of students (three out of 25) had logical-mathematical intelligence in the indicators of numeracy and problem-solving. Then, it can be concluded that the students’ logical-mathematical intelligence is still low and needs to be further investigated.
The mathematics learning based on realistic mathematics to improve the mathematical representation ability in elementary school
Authors: Fathiya  , Johar R , Ahmad A , Annisa D
Published: March 2020

The ability of mathematical representation is one of the crucial aspects for students However, the learning materials for elementary school students was limited. This study aimed to examine the effectiveness of mathematics learning materials based on the realistic mathematics approach to improve the representation ability of elementary students. This research was conducted by developing learning material that is valid, practical, and effective. This paper only discussed the results of the effectiveness test. Participants of this study were 20 students at Year 5 from one of primary school at Banda Aceh, Indonesia. The research instrument in this study was a test of students’ mathematical representation abilities. The results showed that 1) the average score of student on-task activities is accounted for 90.06%; 2) the average activity of students shows above 90%; 3) there is an increase in the tendency of formative test scores at each meeting; 4) more than 50% of students give a positive response to the teaching-learning materials developed; and 5) the teacher provides a positive response to the teaching-learning materials developed. Since the developed learning materials satisfied 5 of the 6 effectiveness indicators, then the learning materials developed using realistic mathematics approach meet the effectiveness criteria.
Student strategy in solving PISA problem through realistic mathematics education approach
Authors: Fitri K A , Johar R , Zubainur C M , Umam K
Published: March 2020

The PISA assessment shows that Indonesia ranked under international standard from the year 2000 until 2012. Student strategies were identified as part of student problem-solving in PISA problem. In solving the PISA problem, students have to translate the daily life problem into the mathematics language, solve and re-translate it into the everyday language. Realistic Mathematics Education (RME) is an approach that emphasises mathematics as student daily life activities to be associated as the primary point into the learning context. This study was conducted to determine student strategies in solving the PISA problem through the RME approach. This study was held through three meetings; two meetings for the learning process and one for the assessment. The data were collected by conducting a test on a total of 29 seventh grade students in Banda Aceh as well as interviewing five of them. The results revealed that there are some student strategies used in solving the PISA problem through the RME approach. The strategies are look for a pattern, make a drawing or diagram, guess and check, and work backwards.
A need analysis for the development of augmented reality based-geometry teaching instruments in junior high schools
Authors: Lainufar  , Mailizar  , Johar R
Published: March 2020

Previous studies have shown that augmented reality (AR) is an interactive teaching media that can improve students’ learning motivation and spatial ability. Many studies have discussed AR technology and GeoGebra App but there are no previous studies on developing and using GeoGebra AR-based teaching instruments to improve students’ spatial abilities in mathematics. The purpose of this study to develop valid and practical GeoGebra AR-based teaching instruments on geometry and used the Plomp model. This paper only reports the findings on the preliminary research. The research participants were three vice-principals of curriculum, three mathematics teachers and six-year 8 students who were randomly selected. The data were collected by administering questionnaires, interviews, and observations, and then analyzed descriptively. The result of this study indicated that the mathematics learning process on geometry topics in years 8 could be improved through GeoGebra AR-based teaching instruments. Moreover, students’ abilities were sufficient to use it. In conclusion, students and teachers need GeoGebra AR-based teaching instruments in geometry learning. The results of this study can be used as theoretical and empirical references for the next stage of development.
The integration of local context through problem-based learning (PBL) to improve junior high school students problem-solving skills
Authors: Hayati U , Johar R , Marwan
Published: March 2020

Students face difficulties in understanding problems because they are presented in the text book without the contexts familiar to the students. This study aimed to examine and descriptively describe the effectiveness of the integration of local contexts through the PBL model to improve students’ problem-solving skills. This research was done by developing the learning instruments integrating the local contexts through the PBL model based on Dick and Carey models. The learning instruments that are valid, practical, and effective were developed by referring to the Dick and Carey model. This paper discussed the results of the effectiveness test of PBL learning instruments integrating the local contexts. The effectiveness test was conducted for Year 7 students at one of the junior high school in Meureudu, Pidie Jaya, Indonesia. The instruments of this study were the student worksheet, observation questionnaire to investigate student learning activities, problem-solving skills test, student questionnaire, observer questionnaire. The results showed that effectiveness criteria to the learning instruments developed had been fulfilled so that they were effective to use, and students problem-solving skills had improved. It is hoped that the trial of the learning instruments can be conducted at some schools with similar characteristics.
The optimism of junior high school students in mathematical problem posing
Authors: Zulfikar  , Anwar  , Yusrizal
Published: March 2020

One role of optimism is to examine how students solve problems in learning mathematics. However, there is still limited research that reveals students’ optimism in posing mathematical problems. This study aims to describe the dimensions of students’ optimism in the mathematical problem posing. This research employed a qualitative method. The research subjects consisted of four Year 8 students (two low-achieving and two middle-achieving students in posing a problem) of one Islamic junior high school in Pidie Jaya, Aceh, Indonesia. The subjects were selected purposively based on their ability to raise problems related to the rectangular pyramid topic. To examine the dimensions of students’ optimism, the researchers interviewed the subjects by referring to optimism indicators proposed by Seligman: permanent bad-events, pervasive bad-events, personal bad-events, permanent good-events, pervasive-good events, and personal good-events. The results showed that: (1) although students have the same problem-posing abilities, they were in a different dimension of optimism, (2) students who had moderate problem-posing abilities were more optimistic than students with low problem-posing abilities, (3) students who had low or moderate problem posing skill tend to be in the pervasive bad event-dimension. In summary, optimism affects the students’ ability to pose mathematical problems.
Students’ worksheet on circular cylinder topic using GeoGebra software through Discovery Learning model
Authors: Mursyidah  , Anwar  , Subianto M
Published: March 2020

Students’ worksheet is a sheet that contains material, descriptions, work steps, and exercises to help students comprehend and discover the concept of learning materials. But in fact, students’ worksheets do not work well in schools yet. Students’ worksheets only contain materials and exercises, not including the components of good students’ worksheets. Therefore, it is necessary to develop students’ worksheets which could help students to find their own concepts. This study aims to develop valid and practical students’ worksheets based on discovery learning model employing GeoGebra in the topic of circular cylinder. This study was held at Year 9 on junior high school. The study is developmental research with ADDIE model, which consists of 5 steps: analysis, design, development, implementation, and evaluation. The research used validity and practicality instruments to assess students’ worksheet. The validity instrument includes the assessment sheets for student worksheet and practical instrument includes student and teacher response questionnaires. The results showed that the students’ worksheet fulfilled criteria (1) valid within the average score 4.5 of 5 for students’ worksheets; and (2) practical with student response questionnaire average score of 88% and teacher response questionnaire average score 4.5 of 5.
Students’ metacognitive abilities in solving derivative problems
Authors: Anjelina Z , Usman  , Marwan
Published: March 2020

Students need skills and solving strategies to solve mathematical problems. One of the strategies that students should have is metacognition. Metacognitive ability plays an important role in avoiding errors and allows students to use their prior knowledge and certain strategies in solving mathematical problems. This research is a preliminary study that aims to describe students’ metacognitive abilities in mathematical problem solving. The participants in this study were 28 students of an Islamic senior high school in Banda Aceh, Indonesia. Data collection conducted in this study was tests and interviews analysed descriptively. This study found that most students satisfied the planning indicator of metacognitive abilities in mathematical problem solving. Furthermore, some students met the monitoring indicator, even though their answers were not perfect, and some reached the evaluation indicator. Students’ metacognitive abilities in solving mathematical problems can be improved; one of the ways is applying problem-based learning model.
The development of learning tools using treffinger model assisted by geogebra to enhance students’ creativity
Authors: Elvita A , Johar R , Abidin T F
Published: March 2020

The development of the Treffinger model learning tools in enhancing the creativity of high school students assisted by GeoGebra software aimed to produce valid, practical and effective mathematics learning tools. This study was development research adopted the development model of Dick and Carey. The subjects were 22 Grade 11 students in one of the Islamic High Schools in Aceh• The data was the validation results and the results of the practical and effectiveness tests. Based on the validity test, the average scores of the lesson plan, student worksheet and test of learning outcome were 3.89, 3.82 and 3.55, respectively, indicating that the tools developed were valid. Based on the results of the pilot test, the practicality criteria were met based on the results of the observer’s assessment of the learning implementation categorized as practical and the mean of the students’ activities also satisfied practical criteria. The effectiveness criteria were also fulfilled based on the scores of the group worksheet and the scores of the student learning outcome test (meeting the minimum criteria of mastery learning). Hence, the learning tools developed were valid, practical and effective.
The effectiveness of local instruction theory for solid geometry topic using a realistic mathematics education approach
Authors: Vazila M , Zubainur C M , Johar R , Ariani D
Published: March 2020

One of the efforts carried out to improve problem-solving in solid geometry is by using a realistic mathematics education approach. The Curriculum 2013 mandates the solid geometry learning in Year 5 of elementary school involving solving problems related to their traditions or local culture. This research aimed to examine the relevance of the LIT of solid geometry material between the Curriculum 2013 (revised 2016) and the Curriculum 2013 (revised 2014) and to review the effectiveness of LIT. This research employed a qualitative approach using the design research method consisting of three phases, namely: preparing, Hypothetical Learning Trajectory (HLT) test, and retrospective analysis. The pilot project was carried out in the Year 5 of three elementary schools located in Pidie District. The instruments involved student worksheet, student activity observation sheet, student conformity sheet comparing the observed and expected activity, problem-solving skill test, student questionnaire, and teacher questionnaire. The results indicated that: 1) The LIT of geometry topic of the Curriculum 2013 (revised 2016) was relevant to Curriculum 2013 (revised 2014), 2) The LIT developed satisfied six effectiveness indicators. Thus, the LIT developed can be disseminated to be used by elementary school teachers at schools.
The correlation between supervisor’s h-index and the number of PMDSU student’s publications
Authors: Rizal S , Puruhito  , Elfindri  , Nugroho W S , Ahza A B , Subekti A , Lakitan B , Soemardi B W , Irianto S , Mart T , Ikhwan M
Published: March 2020

Integrated Master-Doctor program for excellent undergraduate student (Pendidikan Magister Menuju Doktor untuk Sarjana Unggul hereafter PMDSU) is a government program in the effort to increase the number of doctors and the number of international publications for doctoral supervisors in Indonesia. The program has been running since 2013 and has received students in 4 batches until 2018. Based on the year of entry, PMDSU batch I should have completed the study and PMDSU batch II has entered its final year. From that endeavour, this paper describes the achievements of PMDSU student and supervisor’s publications. The hypothesis raised is the number of publications and supervisor’s h-index influences the number of joint scientific publications between students and supervisor for batch I and II. PMDSU students and supervisors batch I and batch II are spread across 12 educational institutions in Indonesia. The findings show that the highest number of student’s publication is 17 articles. The level of participation of PMDSU students in scientific articles reaches 60% of 323 registered students. Based on student participation, an increase in the number of supervisor’s scientific articles was influenced weakly by the participation of PMDSU students. At the other hand, the supervisor’s h-index is also very weak in influencing the number of publications published by PMDSU students. Based on the results obtained, student’s participation can slightly increase the number of supervisor scientific articles, and the supervisor’s h-index has no relation to the number of publications published by PMDSU students.
Pandanus amaryllifolius Roxb. leaf extract prepared by nanoemulsion technique as a natural mouthwash
Authors: Safrida S , Khairil K , Artika W , Rinaldi R
Published: March 2020

Pandanus amaryllifolius Roxb. leaf has a natural mouthwash used as an alternative to commercial mouthwash. The purpose of this study was to determine the potential of giving scented Pandan leaf extract (Pandanus amaryllifolius Roxb.) using nanoemulsion technique as a natural mouthwash. This study used an experimental method with a trial of Completely Randomized Design (CRD) with five treatments and five replications. Data were analysed using Analysis of variance Test and Duncan at α=0.01 (99% confidence level). The result of giving 21-day natural mouthwash showed that P3 (4% extract) has the average salivary pH higher than the value of P1 (1% extract) and P2 (2 % extract), and the average salivary pH value of P3 (4% extract) approached the average salivary pH of P0+ (commercial mouthwash). Besides, there was a significant effect of 21-day of treatment to the respondents that is showed by F (4.20) = 20.57, ρ (0.01) = 4.43. The conclusion of this study is the administration of P amaryllifolius extract with nanoemulsion technique can be used as a natural mouthwash which is to maintain the salivary pH.
The importance of forests as microclimate refuges for mammals in Sumatra
Authors: Slater H , Abdullah A
Published: March 2020

The forests of Aceh are key habitat for several iconic, but critically endangered Sumatran mammals. Preserving these forests is vital to ensuring the continued survival of these species. In addition to the immediate threats of habitat loss and degradation, hunting and human-wildlife conflict, climate change will present further challenges to mammal conservation. A major focus of ecological research is to predict species ranges under future climate change using species distribution models, which correlate existing species distributions with environmental data. This enables us to identify and prioritise the most vulnerable habitats and species for protection, restoration or relocation and ensure the best use of limited resources. Producing these models in Sumatra is challenging due to a lack of species data and accurate environmental data. Furthermore, climatic conditions under tropical forest canopy are significantly cooler and less variable than background macroclimate conditions and can shield mammals from climatic extremes. This decoupling effect has been observed in both primary and secondary forests, although the full extent to which human activities is not known. Identifying microclimate refuges and characteristics which promote thermal buffering of forests will favour long-term mammal conservation under climate change by identifying key locations for habitat protection and restoration to protect climate sensitive species from climate extremes.
Trends, patterns, and the relationship of computer-based national examination of high school science students
Authors: Nasution M K , Surbakti A H
Published: March 2020

This study provides an initial statistical approach as an alternative model to detect the fraudulent practice estimation of national examination (NE). Trends, patterns, and relationships were analysed from the national examination (NE) scores and the national examination integrity index (NEII) on pre-and post-computer-based national examination (CBNE) of the 103,273 high school science students in Aceh Province. Looking at the trends and patterns of the pre-post CBNE implementation, descriptive statistics were used by comparing the average (Mean) of the NE, NEII, and the standard deviation of national examination (SDNE) in the group of regencies/cities. Picturing the relationship between the NE and NEII, linear regression and curve estimation was applied. The result shows that there are striking differences and gradual changes between the pre-post CBNE’s implementation in each regency/city. In the span of three years (2015-2017), a downward trend showed in the NE’s scores along with the implementation of CBNE which increased the NEII’s value. In the pre-CBNE period (2015), a striking pattern emerged in the form of low NEII, high NE, and low SDNE which indicated the existence of fraudulent practice estimation of the national examination.
Construct validity of digital media literacy instrument for student teachers
Authors: Sari C M W , Huda I , Pada A U T , Rahmatan H , Samingan
Published: March 2020

To measure the level of media literacy, a measuring instrument in the form of an assessment is needed. The instruments used in the study were adopted from Son which is a non-test in the form of a closed questionnaire that had been revised and validated with the conditions of students in Banda Aceh. The study aims to examine construct validity of digital media literacy instruments used. The population in the study was 242 student teachers in Biology Education Department at a public university in Banda Aceh. The sample were 168 students selected using purposive sampling. The study applied CFA method. The results of construct validity of the instrument that can be seen in the validity of all the observed variables were good with tvalue > 2 and SLF >0.3. Moreover, the construct reliability were categorized very high (0.80<CR 1.00) and high (0.60<CR0.80). This indicates that the instrument can be used to measure the level of digital media literacy of student teachers.
Human reproductive system module based on Qur’an and hadith to improve students’ motivation and learning outcomes
Authors: Agusti D , Rahmatan H , Sulastri S
Published: March 2020

This research was carried out on the development of learning modules about the human reproductive system based on the Quran and hadiths in West Labuhanhaji at a junior high school to improve students’ motivation and learning outcomes. The research and development method (R&D) with a Borg and Gall model was used in this study. The research population was students of class IX at in West Labuhanhaji, by a total of 92 students. A sample of 48 people was obtained through a purposive sampling technique. Data collection used test questions and motivation questionnaires. Data analysis was performed by using a t-test, with the acquisition of tcount> ttableat a significance level of 0.05 at 6.414>1.71, which means that there were significant differences in learning outcomes between the experimental and the control class. Learning motivation was assessed by using the self-determination method resulting in an average value of 4.69, meaning it is in a very good category. The results of the correlation between motivation and learning outcomes showed the value of tcount > ttable which was 4.227> 1.71 with the value of r approached +1 was 0.667 which means there was a positive correlation between motivation and learning outcomes.
Bioturbation of Thalassina anomala and microhabitat in mangrove ecosystem at Sungai Reuleung Leupung Aceh Besar
Authors: Ali S M , Zulfikar  , Saputri M , Frias J C
Published: March 2020

The purposes of this study are to determine daily amount of land transported by the Thalassina anomala species in the mangrove ecosystem at Sungai Reuleung Leupung and determine the characteristics of bioturbation, the correlation between body size and the amount of soil transported by T. anomala and also to see the characteristics of microhabitat. The research was conducted from July 2017 until August 2017. The observation was carried out by dividing into five stations through survey methods with purposive sampling technique. The Pearson Correlation formula was applied to analyzing the effect of biosturbation activities on the environment. Environmental factors in Mud Lobster habitat are water temperature around 25°C31°C, air temperature 25°C-33°C, salinity around 17-22 %o, and soil pH ranges from 5-7,2, and water pH ranges from 5-7,4. The results show that bioturbation activities were influenced by body size, soil density and the effect of microhabitat. The average of land transported by T. anomala was 163, 82 grams from a total of 95 excreted soils with a moderate correlation of 0,535. Based on the results, it can be revealed that the capacity of land transported by T. anomala has the potential to affect surface of the mangrove ecosystem.
The application of guided-inquiry-learning to enhance science process skills and student learning outcomes
Authors: Zahrina  , Gani A , Yusrizal
Published: March 2020

This study aims to identify the increase achieved in science process skills (SPS) and student learning outcomes after the implementation of guided-inquiry learning compared with the lecturing method. The SPS correlation to learning outcomes, along with the responses, was also determined. This study employed the experimental method with pretest posttest design with a control group. The sample of 61 students was selected by purposive sampling technique. The results obtained of the SPS hypothesis test data analysis and learning outcomes were tcount of 2.838 and 4.863>2.001 ttable, which means there are differences in SPS and learning outcomes of students between the group treated with guided-inquiry learning and that treated with lecturing method. There is a correlation between SPS and learning outcomes, as evidenced by tcount 3.12>2.04 ttable at the value of r2 0.509 in the medium category. Then, the students’ and teachers’ response with “yes” answers obtained a percentage of 87.22 (interested) and 100 (highly interested). It can be concluded that SPS and learning outcomes using guidedinquiry strategies are better than lecturing method; besides, and SPS method has a positive impact on student learning outcomes, and the students responded positively to the implementation of guided-inquiry learning.
The ability of biology teachers to manage a classroom based on Lesson Study learning model
Authors: Hasanuddin H , Nurmaliah C , Samingan S , Iswadi I , Artika W
Published: March 2020

Lesson study is a model of teacher professional development through the study of learning and capacity building of knowledge. This study aimed to determine the ability of a biology teacher at SMAN 1 Meureudu in implementing a lesson study in the classroom. The experiment was conducted from July to September 2015. The Data was obtained through the observation sheet of the learning process, including six indicators of introduction activity aspect, 28 indicators of core activities aspect, and four indicators of the final activity aspect. Learning management was carried out in three stages of lesson study. The results of the first stage of open and post activities were went less well with an average score of 2.33 and 2.25 respectively. An Improvement was being exposed at the introduction aspect during the second stage of the open lesson with an average score of 2.83 (good category). Then, the post-lesson aspect also improved at the third stage of open lesson with an average score of 3.0 (good category). It is concluded that the ability of the biology teacher at SMA Negeri 1 Meureudu to manage classroom had improved after the third stage of the open lesson implementation with good category (average score 2.88).