On the circuit implementation problem

Author(s):  
W.-N. Li ◽  
A. Lim ◽  
P. Agrawal ◽  
S. Sahni
2015 ◽  
Vol 4 (2) ◽  
pp. 87
Author(s):  
Erlisnawati ' ◽  
Hendri Marhadi

The problem in this research was social studies student achievement in fourth grade (IV) SDN 169 Pekanbaru still low with average value 63.88 (with KKM 75). The purpose of this research was to improve the student achievement of the fourth grade (IV) SDN 169 Pekanbaru with the implementation of Problem Based Learning model. This research was classroom action research with two cycles in first semester 2015. Before implementation Problem Based Learning average 63.88, after implementation of Problem Based Learning, UH I was 71.25 that improve 11.54% from before exam with average 61.62. UH II was 80.38 that improve 25.83%. Teacher’s activities with the implementation of Problem Based Learning at first meeting of first cycle was 70% (good category), and second meeting was 80% (good category) that improve 10 point. At second cycle, teacher’s activitiesat first meeting was 90% (very good category) that improve 10 point from second meeting of first cycle. Second meeting of second cycle was 95% (very good category) which improve 5 point. Students activities at first meeting of first cycle was 65% (good category), and second meeting 75% (good category) that improve 10 point. At second cycle, student activities at first meeting was 80% (good category) that improve 5 point from second meeting of first cycle. Second meeting of second cycle was 85% (very good category) which improve 5 point. Implementation of Problem Based Learning model can improvedsocial studies student achievement of fourth grade (IV) SDN 169 Pekanbaru.Keywords: problems based learning, sosial studies student’s achievement


2020 ◽  
Vol 79 (9) ◽  
pp. 813-827
Author(s):  
H. Li ◽  
X. Lu ◽  
B. Li ◽  
H. Ding ◽  
L. Wang ◽  
...  

Author(s):  
Fitria Arifiyanti

The purpose of this research was to find out the effectiveness of the implementation of problem based learning model with multiple representations to reduce the percentage of students’ difficulty in XIth Science SMAN 1 Pontianak. The research design was one group pretest-posttest design, and the instrument used was an essay test. Test reliskill (0, 5) was classified as medium, and test validity (3,56) was classified as a medium. The effect size of this research (2,18) was classified high, but the reduction percentage of the student’s difficulty (41,33%) was classified as a medium. The percentage increase in the students’ skill in multiple representations (52,38%) was classified as a medium. The research doesn’t find a significant correlation between the posttest result of students’ difficulty and the posttest result of studentS’ skill in multiple representations (C = 0,935, p = 0.348). The research result was expected to the development of the implementation problem based learning model with multiple representations approach.Keywords: Implementation, Multiple representations, Problem Based Learning


Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 328
Author(s):  
Mikulas Huba ◽  
Damir Vrancic

The paper investigates and explains a new simple analytical tuning of proportional-integrative-derivative (PID) controllers. In combination with nth order series binomial low-pass filters, they are to be applied to the double-integrator-plus-dead-time (DIPDT) plant models. With respect to the use of derivatives, it should be understood that the design of appropriate filters is not only an implementation problem. Rather, it is also critical for the resulting performance, robustness and noise attenuation. To simplify controller commissioning, integrated tuning procedures (ITPs) based on three different concepts of filter delay equivalences are presented. For simultaneous determination of controller + filter parameters, the design uses the multiple real dominant poles method. The excellent control loop performance in a noisy environment and the specific advantages and disadvantages of the resulting equivalences are discussed. The results show that none of them is globally optimal. Each of them is advantageous only for certain noise levels and the desired degree of their filtering.


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