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2021 ◽  
Vol 9 (2) ◽  
pp. 204
Author(s):  
Fathirma’ruf Fathirma’ruf ◽  
Asmedy Asmedy ◽  
Budiman Budiman ◽  
M. Nur Imansyah

This study aims to ensure the learning process (Practicum) during the Covid-19 pandemic through learning tools developed based on the ADDIE development model, the tools developed in this study have been valid through validity tests by 2 experts with an average validator score of 85.8% (categorized very valid). Effective through the effectiveness test by peer assessment of student practicum activities with an average observation score of 80, and student performance-based test results with a high category score of 9 students, while 3 students have been tested for practicality through a response questionnaire instrument students with an average score of 86.5 (very good category), the existence of the Practicum E-Modul whose implementation is supported by the TeamViewer Remote Desktop and WhatsApp utilities is considered able to overcome learning difficulties (Practicum) during the Covid-19 pandemic.AbstrakPenelitian ini bertujuan untuk menjamin proses pembelajaran (Praktikum) dimasa pandemic Covid-19 melalui perangkat pembelajaran yang dikembangkan berdasarkan model pengembangan ADDIE, perangkat yang dikembangkan dalam penelitian ini  telah Valid melalui uji Validitas oleh 2 orang pakar dengan rerata skor validator 85,8% (berkategori sangat valid). Efektif melalui uji Efektivitas oleh penilaian rekan sejawat terhadap aktivitas praktikum mahasiswa dengan rerata skor pengamatan sebesar 80, dan hasil tes berbasis kinerja mahasiswa dengan capaian skor yang berkategori tinggi sebanyak 9 orang mahasiswa, sedang sebanyak 3 orang mahasiswa, serta telah diuji kepraktisannya melalui instrument Angket respon mahasiswa dengan rerata skor sebesar 86,5 (berkategori sangat baik), keberadaan E-Modul Praktikum yang implementasinya didukung oleh utilitas TeamViewer Remote Desktop dan WhatsApp dianggap mampu mengatasi Kesulitan belajar (Praktikum) dimasa pandemic Covid-19.


2021 ◽  
Vol 4 (1) ◽  
pp. 50
Author(s):  
Sepita Ferazona ◽  
Sri Amnah

<p><em>This research was conducted with the aim of getting an overview of students' attitudes towards the environment at the 13th Junior High School and the 34th Junior High School in Pekanbaru which have received the National Adiwiyata award. The method used in this study is a survey, data collection is done using observation, questionnaires, and interviews. The subjects in this study were class VIII students. 13th Junior High School with a sample of 180 students, and 34 SMP with a sample of 96 students. Each school gets a different presentation. Based on the results of the research from the observation sheet and questionnaire, obtained the average results, namely for Pekanbaru SMPN 13 with an average observation of 77.92% and in the student questionnaire with an average yield of 84.93%. While at 34 Public Schools with an average observation of 77.11% and in student questionnaires with an average yield of 83.87 %%. It can be concluded that the SMP 13 and SMP 34 Pekanbaru have criteria that are very concerned about the environment.</em></p>


2021 ◽  
Vol 1 (1) ◽  
pp. 20-37
Author(s):  
R.A. İsmayılov

Abstract. Karabakh is one of the main regions in Azerbaijan where local water resources are formed. The article calculated the water resources of the area using the data of hydrological observation stations operating on the Karabakh rivers before the occupation. For research and analysis of average annual water discharge, multiyear observation data of hydrological stations operating on the Karabakh rivers were collected and integrated into the SpSS Statistics program. For the study multi-year average observation data of 32 hydrological stations in 20 rivers were collected. In order to determine the exact location of the hydrological stations operating in the area, a map was compiled using the Geographic Information System with reference to the fund and archive materials. In addition, hydrological zoning of the flow was carried out depending on the orographic features of Karabakh. During the analysis, two hydrological regions were identified. The first hydrological region is the Tartarchay-Guruchay hydrological region, and the second region is hakari-Oлchuchay hydrological region. As a result of the study, it was determined that the water resources of the Karabakh rivers are 1.64 km3 , which is 5.31% of the total water resources of Azerbaijan. During the implementation of water management measures in the area, in order to ensure the water security of the area, the resource potential of atmospheric precipitation and river flow for the area was analyzed and maps were compiled. Keywords: Karabakh rivers, hydrological station, water catchment area, water resources, water balance, hydrological zoning


2021 ◽  
Vol 3 (1) ◽  
pp. 46
Author(s):  
Farhati Zakiyah ◽  
Bertha Yonata

This study aims to describe the feasibility of a guided discovery learning oriented Student Worksheet to train critical thinking skills on reaction rate materials. The feasibility of this student worksheet is reviewed from three aspects those are validity, practicality, and effectiveness. The research method used was Research & Development (R&D) which was tested on 10 students of class XI IPA MAA Al-Amiriyyah. The results showed that the student worksheet  was declared worthy in term of the validity aspect with the validity of the content reviewed from the criteria of conformity with the material and basic competencies,those are conformity with the guided discovery learning component, conformity with the critical thinking skills component and the suitability of practicum video with reaction rate factors of 100%, 89%, 83% and 91% respectively, and the validity of the constructs reviewed from the language criteria and presentation respectively obtained results of 90% and 91% respectively. , this percentage decrease is described as very valid. Practicality obtained the results of average observation of student activities by 98.51% and the response of learners on the criteria of content, language and presentation obtained results of 91%, 97% and 89% respectively. All three criteria are described as excellent. Effectiveness based on increased pretest-posttest results of critical thinking skills of learners who obtained a 100% completion percentage with an n-gain score in the range of 0.69-0.88 with medium to high categories


KINESTETIK ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 179-185
Author(s):  
Ramadhan Arifin ◽  
Mita Erliana ◽  
Ahmad Faisal

The purpose of this study is the application of the cooperative learning model in order to improve the learning outcomes of big ball games in class III students of SDN 1 Landasan Ulin Tengah Banjarbaru. The method used in this study is a classroom action research method, namely the researcher as an observer. Observations at the time the teaching and learning process takes place. The subjects of this study were 27 students of class III (three) at SD Negeri 1 Landasan Uling Tengah Banjarbaru for the 2019/2020 academic year, consisting of 16 boys and 11 girls. The process of increasing the ability of learning outcomes in the manipulative motion material of big ball games by emphasizing the cooperative learning model, getting good results based on the predetermined KKM, which is 75. Defined results through cooperative learning model can improve student learning outcomes in motion manipulative big ball game with the following average: Observation of the first meeting was an average value of 70.1 The number of students who reached KKM 75 was 9 students with a percentage of 33.33% and the number of students who did not reach the KKM was 18 students with a percentage of 66.67% . and at the second meeting the average value was 85.5, the number of students who reached KKM 75 was 27 students with a percentage of 100% and the number of students who did not reach the KKM was 0 students with a percentage of 0% so this research was stopped at the second meeting (II).


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1076
Author(s):  
Peng Yan ◽  
Tao Jia ◽  
Chengchao Bai

Unmanned aerial vehicles (UAVs) have been widely used in search and rescue (SAR) missions due to their high flexibility. A key problem in SAR missions is to search and track moving targets in an area of interest. In this paper, we focus on the problem of Cooperative Multi-UAV Observation of Multiple Moving Targets (CMUOMMT). In contrast to the existing literature, we not only optimize the average observation rate of the discovered targets, but we also emphasize the fairness of the observation of the discovered targets and the continuous exploration of the undiscovered targets, under the assumption that the total number of targets is unknown. To achieve this objective, a deep reinforcement learning (DRL)-based method is proposed under the Partially Observable Markov Decision Process (POMDP) framework, where each UAV maintains four observation history maps, and maps from different UAVs within a communication range can be merged to enhance UAVs’ awareness of the environment. A deep convolutional neural network (CNN) is used to process the merged maps and generate the control commands to UAVs. The simulation results show that our policy can enable UAVs to balance between giving the discovered targets a fair observation and exploring the search region compared with other methods.


2021 ◽  
pp. 57-90
Author(s):  
P. A. Ryazantsev

The article considers the role of GPR in solving problems of soil science, as well as the accuracy of tracking soil horizons using the example of field data. The study of the current state of the issue has shown that there is significant variability in the electrophysical properties of different types of soil. In this case, the dielectric constant of the soil horizons can both increase and decrease with depth. This fact determines the need for parameterization of the soil profile in GPR studies to prevent errors. Based on a generalizing analysis of practical examples, it has been established that the error in determining individual soil horizons by a GPR is on average 2–10 cm, depending on the frequency of the GPR antenna and the structural features of the soil. Experimental and methodological work to substantiate the main conclusions was carried out to trace the soil horizons by the GPR method using the example of typical entic podzol located on the Zaonezhsky Peninsula (Republic of Karelia), the structure and composition of which were described in detail earlier. The survey was carried out by a georadar OKO-2 (Logis-Geotech, Russia) with an antenna unit with a central frequency of 400 MHz. Fieldwork on the study site was carried out along separate transects, according to the reference soil profile. A detailed analysis of the radargrams provided, first of all, tracking the base of the BC horizon. The results obtained showed that the thickness of the soil within the profile varies from 23 to 32 cm, and the average observation error was ± 3 cm. Besides, the influence on the recording of shungite shale fragments and the differentiation of moisture content in the soil horizons was revealed. The presence of shungite shale leads to the formation of diffracted waves and an increase in the amplitudes of the reflected signal, while an increase in humidity is characterized by a decrease in the velocities of the electromagnetic wave.


2021 ◽  
Vol 13 (2) ◽  
pp. 205
Author(s):  
Philipp Hochreuther ◽  
Niklas Neckel ◽  
Nathalie Reimann ◽  
Angelika Humbert ◽  
Matthias Braun

The usability of multispectral satellite data for detecting and monitoring supraglacial meltwater ponds has been demonstrated for western Greenland. For a multitemporal analysis of large regions or entire Greenland, largely automated processing routines are required. Here, we present a sequence of algorithms that allow for an automated Sentinel-2 data search, download, processing, and generation of a consistent and dense melt pond area time-series based on open-source software. We test our approach for a ~82,000 km2 area at the 79°N Glacier (Nioghalvfjerdsbrae) in northeast Greenland, covering the years 2016, 2017, 2018 and 2019. Our lake detection is based on the ratio of the blue and red visible bands using a minimum threshold. To remove false classification caused by the similar spectra of shadow and water on ice, we implement a shadow model to mask out topographically induced artifacts. We identified 880 individual lakes, traceable over 479 time-steps throughout 2016–2019, with an average size of 64,212 m2. Of the four years, 2019 had the most extensive lake area coverage with a maximum of 333 km2 and a maximum individual lake size of 30 km2. With 1.5 days average observation interval, our time-series allows for a comparison with climate data of daily resolution, enabling a better understanding of short-term climate-glacier feedbacks.


2020 ◽  
Vol 9 (3) ◽  
pp. 40
Author(s):  
Syofia Yohana

This research was conducted on the basis of the results of observations of the science learning process in class, where the interests and learning outcomes of science learning, especially in class IX-3 have not progressed as expected. Low learning interest causes the students' daily test scores to show disappointing results, where the results have not reached the expected Minimum Completeness Criteria standard. The average value of science learning outcomes in grades IX -3 at SMP Percut Sei Tuan only reached 55.1. To overcome this problem, it is necessary to improve by conducting Classroom Action Research. Action research was conducted in class IX-3 SMP Negeri 1 Percut Sei Tuan Jln.Besar Tembung Gang Pendidikan, Percut Sei Tuan District, Deli Serdang Regency. The research lasted for 3 months in the odd semester of the 2017/2018 school year which was carried out in 2 cycles by suggesting 4 stages for each cycle, namely: the planning, implementation, observation and reflection stages. The data obtained from each cycle were analyzed using qualitative and quantitative data analysis. This can be seen from the results of the average observation of student interest in learning science per individual, where students with very high interest in learning are 3.13%, students with high interest categories are 46.87%, students who are interested in learning are 34.37% and students with low interest in learning are 15.63%. Overall, the percentage of interest in learning has not reached 75%. Then continued with the second cycle, it was obtained that the observation interest in learning had increased. This was seen from the results of the average observation of student interest in learning science per individual that had increased. where students with very high interest in learning categories 25% of students with high interest categories 66.67%, students with sufficient interest in learning categories 8.33% overall the percentage of interest in learning has reached above 75%. The results of the first cycle test, there were 24 students (66.67%) who had achieved mastery learning while 12 students (33.33%) had not yet achieved mastery learning. After it is known that there is an increase, it is continued to provide action in cycle II. The results of the second cycle test had increased, the number of students who completed was very large, namely from 36 students, it turned out that 33 students (91.67%) had achieved completeness in learning, only 3 students (8.33%) had not achieved completeness in study.


2020 ◽  
Vol 12 (21) ◽  
pp. 3528
Author(s):  
S. Lim

It is essential to accurately estimate rainfall to predict and prevent hydrological disasters such as floods. In this paper, an electromagnetic wave rain gauge system and a method to estimate average rainfall using the system’s multiple elevation observation data are presented. The compact electromagnetic wave rain gauge is a small-sized radar that performs very short-range observations using K-band dual-polarization technology. The method to estimate average rainfall is based on the concept of an average observation derived from multiple elevation scans with very short range and dual-polarization information. The proposed method was evaluated by comparing it with ground instruments, including a pit-gauge, tipping-bucket rain gauges, and a Parsivel disdrometer. The evaluation results demonstrated that the new methodology worked fairly well for various rainfall events.


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