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3rd International Conference on Sciences and Technology Applications, ICoSTA 2021

作者： Baiziah, Destri Sahyar Derlina Department of Physics Education Postgraduate Program State University of Medan North Sumatera Indonesia Postgraduate State University of Medan North Sumatera Indonesia

This study aims to develop a PISA-based test on mechanical wave material in high school in accordance with good test qualification standards in terms of validity, reliability, level of difficulty, discriminatory power and effectiveness of distractors. The type of research is development research, using the ADDIE model. The data analysis technique used is qualitative and quantitative. The results of qualitative analysis, the quality of the PISA-based test is very good with a percentage of validity of 84.75% based on the results of validation by 5 experts who are reviewed in terms of material, construct and grammar. Quantitative analysis of the quality of the PISA-based test are good. Analysis of 38 items in the small group test obtained 36 items accepted and 2 items rejected. The large group test obtained: (1) 32 valid items (88.89%), 4 invalid items (11.11%). (2) the reliability of the tests is included in the Very Good category with a value of 0.839. (3) 4 (11.11%) questions in the easy category, 30 (83.33%) questions in the medium category and 2 (5.56%) in the difficult category. (4) The discriminatory power of questions obtained 1 (2.78%) questions in the very good category, 31 (86.61%) questions in the good category and 4 (11.11%) questions in the bad category. (5) 32 (88.89%) items are effective and 4 (11.11%) items are ineffective. The items received were 30 (83.33%) questions, 2 (5.56%) items revised, and 4 (11.11%) items rejected. © Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence

关键词： Quality control

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Evaluation of Meteorological Radar Precipitation Forecast in Banten

Evaluation of Meteorological Radar Precipitation Forecast in...

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2023 International Conference on Information Technology and Computing, ICITCOM 2023

作者： Hartanto Humaidi, Syahrul Frida, Erna Sinambela, Marzuki Ananda, Naufal Postgraduate Program in Pyhsics Universitas Sumatera Utara Medan Indonesia Universitas Sumatera Utara Departement of Physics Medan Indonesia Program in Applied of Instrumentation Sekolah Tinggi Meteorologi Klimatologi Dan Geofisika Jakarta Indonesia Instrumentation and Control Program Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9798350359633

Meteorological radars offer several advantages in representing weather phenomena, including estimating rainfall distribution with high temporal and spatial resolution and representing data in large observations. Automatic Weather Stations (AWS) and Automatic Rain Gauges (ARG) are ground station devices for the measurement of weather parameters, including the intensity of precipitation. Rain gauges suffer from high spatial and temporal variability, especially at low density. The reflectivity is a product of the radar observations. To obtain an estimate of rainfall at the site, it is processed using the Z-R Rosenfeld tropical relationship. Unfortunately, meteorological radars have certain limitations, including beam blocking from the nearest surface, beam attenuation, RF interference, and ground silence or unobserved areas. This study evaluated radar rainfall estimation compared to spatial and temporal rain gauges in Banten. This is especially useful for areas of Banten where there are no rain gauges. Evaluation metrics used in the statistical analyses, namely correlation coefficients, root mean square, and mean absolute error. The results of processing radar imagery for rainfall estimation from ARG rainfall measurements for 1 - 31 December 2022 showed a correlation of 0.80, a mean error of 3.10 and a RMSE of 9.02. © 2023 IEEE.

关键词： Meteorological radar

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Analysis of critical thinking skills student on the topic of optic geometry 2

Analysis of critical thinking skills student on the topic of...

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2nd International Conference on Sciences and Technology Applications, ICOSTA 2020

作者： Panjaitan, Elminasari Juliani, Rita Marpaung, Nurliana Physics Education Study Program Postgraduate Program Medan State University Medan Indonesia

This study aims to analyze: (1) learning activities with multi representation, (2) critical thinking skills of student with multi representation (3) the effect multi representation compared with assignments to student activities, (4) critical thinking skills and activities multiple representations compared with assignments. This research is quasi experimental research with a pretest and posttest control group design. The population in this study were students of class XI SMA Negeri 5 Binjai. The research sample consisted of two experimental classes with multiple representations and a control. Collecting data using observations and tests that have been tested for validity and reliability. The data analysis technique used the independent t test with a significance level of 5%.The results showed that: (1) student activity multi representation was in the active category (85.7%), while student with assignments was in the fairly active category (65.7%), (2) critical thinking skills of student with multiple representations were in the good category (74.3%), while the students critical thinking skills with assignments were in the fairly good category (68.6%), (4) activities and skills critical thinking is better learned in the experimental class rather than in the control class. © Published under licence by IOP Publishing Ltd.

关键词： Students

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7th International Conference of Computer and Informatics Engineering, IC2IE 2024

作者： Wandy, Wandy Adi, Kusworo Ayu, Media Anugerah Diponegoro University Doctoral Program of Information Systems School of Postgraduate Studies Semarang Indonesia Diponegoro University Faculty of Science and Mathematics Department of Physics Semarang Indonesia Sampoerna University Faculty of Engineering and Technology Department of Computer Science South Jakarta Indonesia

ISBN: (纸本)9798331505530

Full-marathon and Half-marathon distances are categorized as road running. Full-marathon running is becoming increasingly popular, and Half-marathon is increasing worldwide in both sexes and all age groups. Some aspects might relate to Full-marathon and Half-marathon running performance during training and races. Technology also plays an essential role in supporting runners and running races. Technology like artificial intelligence (AI) now supports the running athlete, not only predicting performance and results. It can also be used later to help the coach generate training programs for the athlete. This research aimed to find many aspects of marathons and performance and analyze them to see if artificial intelligence could later support them. It used secondary data and a systematic literature review proposed by Kitchenham. Out of the 58 articles, 21 of them (36.21%) received a score of 1 from Q1. Additionally, 19 articles (32.76%) received a score of 1 from both Q2 and Q3. Among the 58 articles, 9 (15.52%) received a total score of 3, with all three Q1, Q2, and Q3 scores being 1. This indicates that artificial intelligence will likely support the content of these nine articles. Several factors were also discovered to be connected to marathons and athletic performance. These findings suggested that additional investigation into marathons and performance, later backed by artificial intelligence, remained pertinent and essential. © 2024 IEEE.

关键词： artificial intelligence aspects marathon performance

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Rice Variety Identification Using Edge Feature Extraction and Texture-Based Segmentation

Rice Variety Identification Using Edge Feature Extraction an...

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2023 International Seminar on Application for Technology of Information and Communication, iSemantic 2023

作者： Setiawan, Aji Adi, Kusworo Widodo, Catur Edi Diponegoro University Doctoral Program of Information Systems School of Postgraduate Studies Semarang Indonesia Faculty of Engineering Darma Persada University Department of Information Technology Jakarta Indonesia Diponegoro University School of Postgraduate Studies Semarang Indonesia Diponegoro University Faculty of Science and Mathematics Department of Physics Semarang Indonesia

ISBN: (纸本)9798350339215

This research proposes a methodology for identifying the optimal feature combination using Support Vector Machine (SVM) based on edge and texture features. Canny, Sobel, and Prewitt for edge detection and GLCM, Gabor, and LBP for texture analysis are popular feature extraction techniques widely employed in various cases. The approach combines edge and texture features with SVM to classify rice types into five categories: Ipsala, Jasmine, Karacadag, Arborio, and Basmati. Experimental results demonstrate that SVM using Canny, Sobel, and Prewitt combined Gabor texture features outperforms the comparative methods. A comparative analysis based on accuracy scores using confusion matrices is conducted. Combining all feature edge methods, Canny, Sobel, and Prewitt with Gabor on SVM classification is the best model for rice object classification, achieving an accuracy of 96%. © 2023 IEEE.

关键词： Support vector machines

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The influence of causalitic-learning model on problem-solving ability in terms of students' mastery of physics concepts 1

The influence of causalitic-learning model on problem-solvin...

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1st International Conference Science physics and Education 2021, ICSPE 2021

作者： Rokhmat, J. Hikmawati Kosim Wahyudi Sari, Y. Department of Natural Science Education Postgraduate Program Universitas Mataram Indonesia Physics Education Faculty of Teacher Training and Education Universitas Mataram Mataram Indonesia

This study aims to investigate the effects of (a) the causalitic-learning Model (CLM) on (a) Problem-solving Abilities (PSA), (b) mastery of physics-concepts on PSA, and (c) the interaction between CLM and mastery physics-concepts on PSA. This research is a quasi-experimental design with an untreated control group design with a pre-test and post-test. The population is all students of class X Public Senior High School (PSHS) 1 Narmada, amounting to 396 people. Samples were taken using cluster random sampling technique and obtained students class X-1 as the experimental class (14 men and 16 women) and X-2 as the control class (9 men and 21 women). The data were collected using a PSA test and analyzed using parametric statistics two-way ANOVA test. With a significance of 0.05 and the criteria if the sig value © 2022 Published under licence by IOP Publishing Ltd.

关键词： Students

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Study Of The Influence Of Milling Time On The Synthesis Temperature Of Monoclinic And Orthorhombic Nanostructured Cunb2o6 Via High-Energy Milling

Study Of The Influence Of Milling Time On The Synthesis Temp...

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Euro Powder Metallurgy 2023 Congress and Exhibition, PM 2023

作者： Gomes, Uilame Umbelino de Araújo, Kívia Fabiana Galvão José, Maria Lima, Santos De Souza, Vitor Manoel Silva Fernandes da Silva Lourenço, Cléber Raimundo, Rafael Alexandre Materials Science and Engineering Postgraduate Program Federal University of Rio Grande do Norte Natal59078-970 Brazil Department of Physics Federal University of Paraíba João Pessoa58051-900 Brazil

Copper niobate (CuNb2O6) has been studied for technological and environmental applications, such as in solar cells and photocatalysts, for example. And to make the application of CuNb2O6 even more feasible, in this study, therefore, high-energy milling was applied in its synthesis process with variation in the milling time, from the precursor powders Nb2O5 and CuO. The calcination occurred in a muffle with temperatures in the range of 500 °C to 1000 °C, for 3 h and heating rate of 5 °/min. Then, the powders were characterized by XRD, SEM, EDS and Raman. The powders showed crystallite sizes smaller than 80 nm, good homogeneity and high purity. The particle morphologies and the Raman spectrum are coherent with the literature. It was also verified that the increase in milling time reduced the initial formation temperature of the monoclinic phase and the calcination time for the complete formation of the orthorhombic phase. © European Powder Metallurgy Association (EPMA)

关键词： Mechanical alloying

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The use of causalitic learning model to encourage abilities of problem solving and creative thinking in momentum and impulse 1

The use of causalitic learning model to encourage abilities ...

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1st International Conference Science physics and Education 2021, ICSPE 2021

作者： Rokhmat, J. Gunada, I.W. Ayub, S. Hikmawati Wulandari, T. Department of Natural Science Education Postgraduate Program University of Mataram Mataram Indonesia Physics Education Faculty of Teacher Training and Education University of Mataram Mataram Indonesia

This study aims to test the use of a causalitic-learning model to encourage problemsolving and creative thinking skills. This study used a non-equivalent control group design. The population was students of class X Mathematics and Natural Sciences (MNS), Public Senior High School (PSHS) 3, the academic year 2018/2019, Mataram, Indonesia. Samples were taken using the purposive sampling technique and obtained by X-MNS-4 class students (33 students, 13 male, 20 female) as the experimental class and X-MNS-5 class students (28 students, 12 male, 16 female) as the control class. The data were taken using essay test questions and analysed using the MANOVA test but previously carried out the Lavene test and the Box's M test (with the help of the SPSS version 23 application). The results of statistical analysis, with a significance level of 0.05, the null hypothesis on both research hypotheses were rejected. The conclusion is that the implementation of the causalitic-model in physics learning on the subject of momentum and impulse affects the improvement of students' problem-solving and creative thinking abilities. Insights on innovation through technology integration, multi-answer phenomenon-based learning to promote creative thinking is also discussed. The implication is important for physics learning which emphasises conceptual understanding. © 2022 Published under licence by IOP Publishing Ltd

关键词： Students

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The assessment of climatic,environmental,and socioeconomic aspects of the Brazilian Cerrado

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Ecological Processes 2023年第1期12卷 274-285页

作者： Washington Luiz Félix Correia Filho JoséFrancisco de Oliveira-Júnior Dimas de Barros Santiago Hazem Ghassan Abdo Hussein Almohamad Ahmed Abdullah Al Dughairi Carlos Antonio da Silva Junior Postgraduate Program in Environmentrics(PPGAmb) Institute of MathematicsStatisticsand Physics(IMEF)Federal University of Rio Grande(FURG)Rio GrandeRio Grande do Sul 96203-900Brazil Institute of Atmospheric Sciences(ICAT) Federal University of Alagoas(UFAL)MaceióAlagoas 57072-260Brazil Postgraduate Program in Biosystems Engineering(PGEB) Federal Fluminense University(UFF)NiteróiRio de Janeiro 24220-900Brazil Postgraduate Program in Meteorology Unidade Acadêmica de Ciências Atmosféricas(UACA)Federal University of Campina Grande(UFCG)Campina GrandeParaíba 58429-140Brazil Geography Department Faculty of Arts and HumanitiesTartous UniversityTartousSyria Geography Department Faculty of Arts and HumanitiesDamascus UniversityDamascusSyria Geography Department Faculty of Arts and HumanitiesTishreen UniversityLat-takiaSyria Department of Geography College of Arabic Language and Social StudiesQassim UniversityBuraydah 51452Saudi Arabia Departamento de Geografia State University of Mato Grosso(UNEMAT)SinopMato Grosso 78555-000Brazil

Background The Cerrado is the most biodiverse savanna and maintains other *** of its significance,this paper evaluated the Brazilian Cerrado’s climatic,environmental,and socioeconomic aspects using remote sensing data and spatial statistics(correlation analysis and principal components analysis—PCA).Following the measures of sample adequacy(MSA)and Kaiser–Meyer–Olkin(KMO)tests,seventeen variables were *** The MSA revealed that the dataset had a good quality(0.76),and nine variables were selected:elevation,evapotranspiration,active fires,Human Development Index(HDI),land use and land cover(LULC;shrubland and cropland/rainfed),rainfall(spring and autumn),and *** correlation matrix indicated a positive(negative)association between HDI and autumn rainfall(HDI and active fires)with a value of 0.77(-0.55).The PCA results determined which three principal components(PC)were adequate for extracting spatial patterns,accounting for 68.02%of the total variance with respective values of 38.59%,16.89%,and 12.5%.Due to economic development and agribusiness,Cerrado’s northern(central,western,and southern)areas had negative(positive)score HDI values,as shown in ***(rainfall—spring and fall)and environmental(cropland/rainfed and shrubland)aspects dominated the PC2,with negative scores in northern and western portions due to the transition zone between Amazon and Cerrado biomes caused by rainfall *** the other hand,environmental aspects(LULC-shrubland and elevation)influenced the PC3;areas with high altitudes(>500 m)received a higher *** Agricultural expansion substantially affected LULC,leading to deforestation-caused suppression of native vegetation.

关键词： Environment Agribusiness Active fire Human Development Index Land use and land cover

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Air Particulate Matters Auto-Rule-Based Labeling to Support Long-Distance Run Environment Data Classification 13

Air Particulate Matters Auto-Rule-Based Labeling to Support ...

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13th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2023

ISBN: (纸本)9798350347319

Sports Science is an interdisciplinary and multidisciplinary science that strives to increase athletic performance and endurance. Sport Science recognizes and prevents injuries. Sensors and statistics formalize Sports Science. Runners need coaches and teams to support them before, during, and after the run race. Coaches generate running training plans to boost performance. Running race performances may be impacted by air pollution exposure while training, so coaches should consider limiting air pollution exposure when training. One of the external factors is Particulate Matter (PM2.5 and PM10). Sensors connecting to the Internet can record external factors and produce csv data. The foundation of supervised machine learning is the labeling process. Labeling a set of data is one of the laborious and time-consuming phases in every machine-learning application because it requires verifying the accuracy of the labels and making any necessary revisions. This research aimed to find a solution to automatically label numerous air particulate matter raw data using a rule based on parameters to reduce manual work, human errors and faster processes. This labeled data will later be used for supervised machine learning classification to support the coach in generating training programs for the runners in a Sports Information System. Based on Indonesia Air Quality index rule-based approach, labeled text data in csv has been generated and tested with PM2.5 and PM10 parameters in three scenarios with a 100% success rate. It was possible to automate the labeling process, and it explained how automation results in fast and accurate results. © 2023 IEEE.

关键词： Classification (of information)

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