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Author(s):  
Arjun Sirojul Anam ◽  
Faris Muslihul Amin ◽  
Mujib Ridwan

Extracurricular activities at MAN 1 Lamongan are still determined without any support from the system. Students are only given extracurricular information and can register according to the conditions if interested. This makes the extracurricular that students have chosen does not fully match their abilities. The result is a decrease in the number of members who are active in extracurricular activities due to loss of interest. A web-based system was developed to assist MAN 1 Lamongan in determining extracurricular according to interests and talents. Case-Based Reasoning (CBR) is the system framework and Certainty Factor (CF) is the algorithm for determining the certainty value. The result is that with test data of 68 students, the system recommends extracurricular well. Testing with Confusion Matrix obtained precision level of 96.03% (high), recall of 99.4% (high), accuracy of 95.76% (high)


Author(s):  
Ting Li ◽  
Lei Liu ◽  
Weimin Zheng ◽  
Juan Zhang

Abstract We propose a VLBI precision evaluation method for probe delay measurement, so as to investigate the error contributions from different components in the Chinese VLBI Network (CVN). This method takes the idea of traditional closure delay analysis for distant radio sources. It focuses on the VLBI closure delay only and therefore excludes the influence of probe orbit determination, which makes it very suitable to evaluate the capability of VLBI probe delay measurement. In this paper, we first introduce the principles of closure delay analysis. Then the statistical results of typical CE5 (Chinese Chang'e 5 lunar exploration mission) and HX1 (Chinese Mars exploration mission) observations are presented, including the comparison of the closure delay precisions between CE5 and HX1 for four closed baseline triangles in CVN. According to the result, we realize that, the precision discrepancy between CE5 and HX1 in the closure delay analysis is less than that of residual delay after orbit determination, which reflects the precision level of the VLBI delay measurement.


2021 ◽  
Vol 127 (5) ◽  
Author(s):  
Tianyu Xie ◽  
Zhiyuan Zhao ◽  
Maosen Guo ◽  
Mengqi Wang ◽  
Fazhan Shi ◽  
...  

2021 ◽  
pp. 1-11
Author(s):  
Jeffrey G. Fidgen ◽  
Mark C. Whitmore ◽  
Chris J.K. MacQuarrie ◽  
Jean J. Turgeon

Abstract Adelges tsugae Annand (Hemiptera: Adelgidae), a nonindigenous insect pest of hemlock (Tsuga spp.) (Pinaceae) in eastern North America, spends most of its life cycle within an ovisac, which resembles a woolly white mass on twigs. We evaluated the probability of detecting adelgid wool with Velcro®-covered balls when taking an increasing number of samples per tree (field sampling) and number of trees per simulated stand. We examined the relationship between the detection of adelgid wool using this technique and the incidence of A. tsugae-infested twigs by sampling lower-crown branch tips of the same trees. We found that the probability of detecting wool with ball sampling increased with number of ball samples per tree, with number of trees per simulated stand, and with increasing incidence of ovisacs in the lower crown. When sampling an individual tree, we found that 20 ball samples per tree achieved a targeted precision level of 0.75, but when sampling a stand, we found that 10 ball samples per tree took the least time for the range of simulated A. tsugae infestations we tested. These sample sizes are recommended for detection of A. tsugae infestations on an individual tree and in a hemlock stand.


2021 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Saiful Irfan ◽  
Rusiyanto Rusiyanto

<p class="Abstract">This study aims to determine the frame safety factor and the precision level of CNC plasma cutting results. The research method used is a research and development model, namely the French model. This model has 8 steps that are used to produce a CNC plasma cut design. The data analysis technique used is descriptive statistical analysis techniques derived from the results of tests conducted. Safety factor testing was conducted using the 2015 Autodesk Inventor software with a frame of 110.54 N. The precision cutting results were carried out three times using the same instrument, 20 currents with a speed of 400 mm/min, against ST 37 material with a thickness of 1.3 mm. The results showed that the frame was categorized as safe because the minimum safety factor value was 4.23 ul and the cut test results showed an average measurement with a maximum deviation of 0.3 mm, so it could be concluded that plasma CNC cutting had tolerance. rate of ± 0.3 mm.</p>


Water ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1353
Author(s):  
Chrysoula Ntislidou ◽  
Dimitra Bobori ◽  
Maria Lazaridou

The estimation of the number of samples required for reliably monitoring lakes’ benthic macroinvertebrates is difficult due to the natural variability and cost and time constraints. To determine a statistically robust and effective sampling design, we collected benthic macroinvertebrate samples from 15 Greek natural lakes. We compared the spatial and temporal variability of the benthic macroinvertebrate community composition to identify differences among lakes, between lake zones (sublittoral and profundal) and sampling periods. Furthermore, we examined the sampling precision and determined the number of required samples to attain maximum taxa richness. The diminution of the sampling effort was estimated and the desired precision level, considering different benthic macroinvertebrate abundances, was modelled. No temporal or spatial variation between lake zones was observed in communities’ compositions. The precision of our sampling design was adequate, and rarefaction curves revealed an adequate taxa richness (>70%). The developed model could be applied to assess the required sampling effort in lakes within the Mediterranean ecoregion with similar benthic macroinvertebrate abundances.


2021 ◽  
Vol 9 (1) ◽  
pp. 70
Author(s):  
Dewi Anggraini

Journalism knowledge with all forms of writing is the product offered to students of Program Studi Pendidikan Bahasa Indonesia, Faculty of Languages And Arts, Universitas Negeri Padang through journalism package courses as predominant skills besides language, literature, and teaching skills. Based on this condition, this study is intended to measure the degree of student knowledge in distinguishing journalistic writing. This research is quantitative research with descriptive methods. Quantitative analysis is designed to measure and describe the level of student knowledge. The population of this study was 453 students of the Pendidikan Bahasa Indonesia study program. Based on the provisions of the research variables, students who had passed the introductory journalism, editorial, and news photography courses were students in 2014 who were used as the research population as many as 105 people. The research sample was taken with Taro Yamane's formula with a precision level of 10% to 51 students. Based on the results of the data analysis, it was found that the student's knowledge of distinguishing journalistic writing was in the range of 79.90%. This result shows that students' knowledge in determining the variety of journalistic writing is in the 'outstanding' criteria.


Author(s):  
José André Brito ◽  
Leonardo de Lima ◽  
Pedro Henrique González ◽  
Breno Oliveira ◽  
Nelson Maculan

The problem of finding an optimal sample stratification has been extensively studied in the literature. In this paper, we propose a heuristic optimization method for solving the univariate optimum stratification problem aiming at minimizing the sample size for a given precision level. The method is based on the variable neighborhood search metaheuristic, which was combined with an exact method. Numerical experiments were performed over a dataset of 24 instances, and the results of the proposed algorithm were compared with two very well-known methods from the literature. Our results outperformed $94\%$ of  the considered cases. In addition, we developed an enumeration algorithm to find the global optimal solution in some populations and scenarios, which enabled us to validate our metaheuristic method. Furthermore, we find that our algorithm obtained the global optimal solutions for the vast majority of the cases.


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