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Journal articles on the topic 'Percentage'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 March 2023

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1

Sarumaha, Yenny Anggreini, Ratu Ilma Indra Putri, and Yusuf Hartono. "PERCENTAGE BAR: A MODEL FOR HELPING FIFTH GRADE STUDENTS UNDERSTAND PERCENTAGES." Mosharafa: Jurnal Pendidikan Matematika 7, no. 2 (May 31, 2018): 155–66. http://dx.doi.org/10.31980/mosharafa.v7i2.35.

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AbstrakPenelitian ini bertujuan untuk mengembangkan teori instruksional lokal untuk mendukung pengembangan siswa pemahaman dasar tentang persentase. Penelitian desain dipilih sebagai sarana yang tepat untuk mencapai tujuan. Penelitian dilakukan di Pusri Sekolah Dasar Palembang, Kelas 5 yang melibatkan 42 siswa secara total dan satu guru kelas. Pendidikan Matematika Realistik Indonesia (PMRI) yang diadaptasi dari Realistic Mathematics Education (RME) sengaja dipilih sebagai pendekatan dalam proses belajar mengajar. Keakuratan ini mengungkapkan bahwa bar persentase yang disajikan sebagai model dalam pembelajaran membantu siswa untuk memahami persentase. Siswa menggunakannya sebagai alat untuk penalaran dan juga sebagai alat untuk menghitung. Itu juga membantu mereka untuk menyampaikan pemikiran mereka kepada orang lain. Untuk beberapa siswa yang biasanya menggunakan cara formal untuk menyelesaikan masalah persentase, temukan kotak persentase sebagai cara lain untuk membuktikan hasilnya. AbstractThis present study is aimed to develop a local instructional theory to support students development of basic understanding of percentages. Design research was chosen as an appropriate mean to achieve the goal. The study was conducted in Pusri Primary School Palembang, Grade 5 involving 42 students in total and one classroom teacher. Pendidikan Matematika Realistik Indonesia (PMRI) which was adapted from Realistic Mathematics Education (RME) was deliberately chosen as an approach in the teaching and learning process. This stuidy revealed that a percentage bar which is served as a model in learning helped students to understand percentages. Students used it as a tool for reasoning and also as a tool for calculating. It also helped them to represent the percents stated and to communicate their thoughts to others. For some students who usually utilized the formal way to solve percentage problems, found the bar as another way to prove the result.

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2

Cornell, J. S. "Percentage errors." Journal of Cutaneous Pathology 21, no. 5 (October 1994): 478. http://dx.doi.org/10.1111/j.1600-0560.1994.tb00294.x.

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3

Wanless, M. "Percentage values." British Dental Journal 205, no. 5 (September 2008): 224. http://dx.doi.org/10.1038/sj.bdj.2008.750.

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4

Khouri, Roger K., and Roger K. Khouri. "Percentage Augmentation." Plastic and Reconstructive Surgery 135, no. 5 (May 2015): 933e—935e. http://dx.doi.org/10.1097/prs.0000000000001191.

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5

Mohan, Bhavya, Pierre Chandon, and Jason Riis. "Percentage Cost Discounts Always Beat Percentage Benefit Bonuses: Helping Consumers Evaluate Nominally Equivalent Percentage Changes." Journal of Marketing Behavior 1, no. 1 (May 18, 2015): 75–107. http://dx.doi.org/10.1561/107.00000005.

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6

Cummins, Peter J., Robert P. Rapp, and Ann B. Amerson. "Percentage-increase calculations." American Journal of Health-System Pharmacy 43, no. 6 (June 1, 1986): 1428. http://dx.doi.org/10.1093/ajhp/43.6.1428.

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7

Davies, Janice. "Percentage dose reductions." Journal of Prescribing Practice 1, no. 3 (March 2, 2019): 122. http://dx.doi.org/10.12968/jprp.2019.1.3.122.

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8

Zhang, Yiqun, Carlos Ordonez, Javier García-García, Ladjel Bellatreche, and Humberto Carrillo. "The percentage cube." Information Systems 79 (January 2019): 20–31. http://dx.doi.org/10.1016/j.is.2018.01.005.

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9

Maliszewski, Paul. "A Percentage Game." Baffler 15 (November 2002): 89–94. http://dx.doi.org/10.1162/bflr.2002.15.89.

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10

Daeppen, J. B. "Percentage Set Straight." Archives of Internal Medicine 162, no. 20 (November 11, 2002): 2379. http://dx.doi.org/10.1001/archinte.162.20.2379.

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11

Seti, Yuliana Monika, Juwita Merdja, and Ningsih Ningsih. "ANALISIS MINAT BELAJAR SISWA KELAS VIII SMP NEGERI SOKORIA DALAM PEMBELAJARAN MATEMATIKA DIMASA PANDEMI COVID– 19." JUPIKA: JURNAL PENDIDIKAN MATEMATIKA 5, no. 1 (March 31, 2022): 53–60. http://dx.doi.org/10.37478/jupika.v5i1.1682.

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This study aims to determine the learning interest of students class VIII SMP Negeri Sokoria in learningmathematics during the covid-19 pandemic. This type of research is descriptive qualitative. Sources of data usedprimary and secondary. Procedures for collecting data by means of questionnaires and documentation.Researcher took students of class VIII-C SMP Negeri Sokoria, totaling 30 people as the subjet. Data analysis inthis study is descriptive with percentages presented in tabular form. The results of this study indicate that thepercentage of student interest in class VIII SMP Negeri Sokoria in learning mathematics during the covid-19pandemic is in the moderate category seen from the four indicators. The percentage of student interest in learningbased on the indicator of feeling happy to get a percentage of 65.33% with the medium category, the percentageof student interest in learning based on the indicator of interest getting a percentage of 64.40% with the mediumcategory, the percentage of student interest in learning based on the indicator of attention getting a percentageof 64.80% with the category medium, the percentage of student interest in learning based on indicators ofinvolvement obtained a percentage of 67.20% with the medium category.

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12

Tofallis, Chris. "Least Squares Percentage Regression." Journal of Modern Applied Statistical Methods 7, no. 2 (November 1, 2008): 526–34. http://dx.doi.org/10.22237/jmasm/1225513020.

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13

Williams, Joseph. "Percentage Rents with Agency." Real Estate Economics 42, no. 4 (March 7, 2014): 791–828. http://dx.doi.org/10.1111/1540-6229.12038.

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14

Johnson, Roger. "Earth's Surface Water Percentage?" Teaching Statistics 19, no. 3 (September 1997): 66–68. http://dx.doi.org/10.1111/j.1467-9639.1997.tb00336.x.

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15

Husband, James, and Richard Vecqueray. "Increasing milk protein percentage." Livestock 14, no. 4 (July 2009): 30–34. http://dx.doi.org/10.1111/j.2044-3870.2009.tb00294.x.

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16

Huh, Moon T. "Computation of percentage points." Communications in Statistics - Simulation and Computation 15, no. 4 (1986): 1191–98. http://dx.doi.org/10.1080/03610918608812569.

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17

Davies, Janice. "Percentage dose reductions: answers." Journal of Prescribing Practice 1, no. 3 (March 2, 2019): 154. http://dx.doi.org/10.12968/jprp.2019.1.3.154.

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18

Abdo, John S. "Weight training percentage table." National Strength & Conditioning Association Journal 7, no. 1 (1985): 50. http://dx.doi.org/10.1519/0744-0049(1985)007<0050:wtpt>2.3.co;2.

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19

Olson, P. E. "Measurement of CD4+ percentage." JAMA: The Journal of the American Medical Association 272, no. 6 (August 10, 1994): 434b—434. http://dx.doi.org/10.1001/jama.272.6.434b.

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20

Olson, Patrick E. "Measurement of CD4+ Percentage." JAMA: The Journal of the American Medical Association 272, no. 6 (August 10, 1994): 434. http://dx.doi.org/10.1001/jama.1994.03520060032020.

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21

Ferguson, Pamela L., Sarah Commodore, Brian Neelon, JacKetta Cobbs, Anthony C. Sciscione, William A. Grobman, Roger B. Newman, et al. "Early exposure to animals and childhood body mass index percentile and percentage fat mass." Child and Adolescent Obesity 5, no. 1 (January 13, 2022): 3–15. http://dx.doi.org/10.1080/2574254x.2021.2021788.

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22

DEJSOMRITRUTAI, WANCHAI, PHUNSUP WONGSURAKIAT, NITIPATANA CHIERAKUL, SUCHAI CHAROENRATANAKUL, ARTH NANA, and KHUN NANTA MARANETRA. "Comparison between specified percentage and fifth percentile criteria for spirometry interpretation in Thai patients." Respirology 7, no. 2 (June 2002): 123–27. http://dx.doi.org/10.1046/j.1440-1843.2002.00379.x.

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23

STOCKWELL, TIM, and FRANCES HONIG. "Labelling alcoholic drinks: percentage proof, original gravity, percentage alcohol or standard drinks?" Drug and Alcohol Review 9, no. 1 (January 1990): 81–89. http://dx.doi.org/10.1080/09595239000185111.

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24

Yoshinaga, Masao, Atsushi Shimago, Yoshihide Noikura, Sanae Kinou, Tsuruo Ohara, and Koichiro Miyta. "Bodyfat percentage in girls increased steadily with age and percentile rank of body mass index." Pediatrics International 44, no. 2 (April 2002): 149–52. http://dx.doi.org/10.1046/j.1328-8067.2001.01523.x.

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25

Csongrádi, Gyöngyi. "Percentage philanthropy – an experimental research." Periodica Polytechnica Social and Management Sciences 16, no. 1 (2008): 33. http://dx.doi.org/10.3311/pp.so.2008-1.04.

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26

Popp, Eric, and Christopher Coughlin. "Percentage of confusion accounted for." Industrial and Organizational Psychology 14, no. 4 (December 2021): 518–20. http://dx.doi.org/10.1017/iop.2021.108.

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27

Manolov, Rumen, and Antonio Solanas. "Percentage of nonoverlapping corrected data." Behavior Research Methods 41, no. 4 (November 2009): 1262–71. http://dx.doi.org/10.3758/brm.41.4.1262.

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28

Blackman, A. "Fusional Shadow and Percentage Innervation." Australasian Journal of Optometry 8, no. 9 (April 19, 2010): 288. http://dx.doi.org/10.1111/j.1444-0938.1926.tb00978.x.

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29

Wilcox, Rand R. "The percentage bend correlation coefficient." Psychometrika 59, no. 4 (December 1994): 601–16. http://dx.doi.org/10.1007/bf02294395.

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30

Twomey, Patrick J., Anthony S. Wierzbicki, Ivan M. House, Adie Viljoen, and Timothy M. Reynolds. "Percentage non-caeruloplasmin bound copper." Clinical Biochemistry 40, no. 9-10 (June 2007): 749–50. http://dx.doi.org/10.1016/j.clinbiochem.2007.04.002.

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31

Daniel, Zelterman. "Estimating percentage points by simulation." Journal of Statistical Computation and Simulation 27, no. 2 (February 1987): 107–25. http://dx.doi.org/10.1080/00949658708810985.

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32

Ozgültekin, A., Y. Durmus, G. Turan, and N. Akgün. "PEEP for PEEPi; which percentage?" European Journal of Anaesthesiology 21, Supplement 32 (June 2004): 163. http://dx.doi.org/10.1097/00003643-200406002-00590.

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33

Daly-Grafstein, Daniel, and Luke Bornn. "Rao-Blackwellizing field goal percentage." Journal of Quantitative Analysis in Sports 15, no. 2 (June 26, 2019): 85–95. http://dx.doi.org/10.1515/jqas-2018-0064.

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Abstract Shooting skill in the NBA is typically measured by field goal percentage (FG%) – the number of makes out of the total number of shots. Even more advanced metrics like true shooting percentage are calculated by counting each player’s 2-point, 3-point, and free throw makes and misses, ignoring the spatiotemporal data now available (Kubatko et al. 2007). In this paper we aim to better characterize player shooting skill by introducing a new estimator based on post-shot release shot-make probabilities. Via the Rao-Blackwell theorem, we propose a shot-make probability model that conditions probability estimates on shot trajectory information, thereby reducing the variance of the new estimator relative to standard FG%. We obtain shooting information by using optical tracking data to estimate three factors for each shot: entry angle, shot depth, and left-right accuracy. Next we use these factors to model shot-make probabilities for all shots in the 2014–2015 season, and use these probabilities to produce a Rao-Blackwellized FG% estimator (RB-FG%) for each player. We demonstrate that RB-FG% is better than raw FG% at predicting 3-point shooting and true-shooting percentages. Overall, we find that conditioning shot-make probabilities on spatial trajectory information stabilizes inference of FG%, creating the potential to estimate shooting statistics earlier in a season than was previously possible.

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34

Casement, William. "Percentage plans and college admissions." Academic Questions 14, no. 4 (December 2001): 8–28. http://dx.doi.org/10.1007/s12129-001-1032-5.

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35

Setyaningrum, Sri, Dini Julia Sari Siregar, Ruth Riah Ate Tarigan, and Warisman a. "THE EFFECT OF SYNBIOTIC ON CARCASS PERCENTAGE AND ABDOMINAL FAT PERCENTAGE OF NATIVE CHICKEN." International Journal of Advanced Research 10, no. 06 (June 30, 2022): 434–38. http://dx.doi.org/10.21474/ijar01/14907.

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The aim of this study was to evaluate the effect of synbiotic on carcass percentage and abdominal fat percentage of native chicken. This research used 120 birds of native chicken. Basal diet in this research formulated with metabolizable energy (ME) 3000 kcal/kg and crude protein 19%. Completely randomized design used in this research with 6 treatment and 4 replicates. The 6 treatments were P0: control (without synbiotic), P1: basal diet + 1.0% of synbiotic, P2: basal diet + 1.5% of synbiotic, P3: basal diet + 2.0% of synbiotic, P4:basal diet + 2.5% of synbioticand P5: basal diet + 3.0% of synbiotic. The parameters in this research were live weight, carcass percentage and abdominal fat percentage. Based on this research showed that the treatment of synbiotic significant different (p<0.05) on live weight, carcass percentage and abdominal fat percentage of native chicken. Conclusion of the research was the supplementation of synbiotic increased of liveweight and carcass percentageand reduced of abdominal fat percentage of native chicken.

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36

Gravois, Kenneth A. "Diallel Analysis of Head Rice Percentage, Total Milled Rice Percentage, and Rough Rice Yield." Crop Science 34, no. 1 (January 1994): 42–45. http://dx.doi.org/10.2135/cropsci1994.0011183x003400010007x.

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37

Vehrs, Pat R., Gilbert W. Fellingham, Angela McAferty, and Laurel Kelsey. "Trends in BMI Percentile and Body Fat Percentage in Children 12 to 17 Years of Age." Children 9, no. 5 (May 19, 2022): 744. http://dx.doi.org/10.3390/children9050744.

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This study evaluates the cross-sectional trends in body fat percentage (BF%) and body mass index (BMI) percentile rank, and the relationship between the two in 332 (177 boys, 155 girls) 12- to 17-year-old children. Body mass index (BMI) was calculated using measured height and body mass, and sex-specific BMI for age percentile rank was determined using CDC growth charts. Body fat percentage (BF%) was measured with DEXA. Fat mass index (FMI) and fat-free mass index (FFMI) were calculated by normalizing the fat mass and fat-free mass for height. Compared to boys of the same age, girls had significantly higher BF% and FMI values and lower FFMI values. Compared to boys, at a given BMI percentile rank, females had a higher BF% and FMI, and a lower FFMI. In both boys and girls, there was an exponential increase in adiposity above the 70th percentile rank. BMI percentile rank is not an equivalent indicator of body fatness in boys and girls. Other measures of body composition can further inform the practitioner of a child’s adiposity.

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38

Jeong, Min-Jeong, Young-Ju Yun, Bong-Hyun Kim, and Ki-Bong Kim. "Percentile of Body Fat Percentage for Diagnose Obese Among Selected Number of Preschool Children in Yangsan." Journal of Korean Oriental Pediatrics 25, no. 1 (April 30, 2011): 82–89. http://dx.doi.org/10.7778/jpkm.2011.25.1.082.

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39

Alsaadi, M. A., H. Sh Majdi, Q. F. Alsalhy, W. A. Yehye, Q. Marwan, B. O. Betar, and K. M. Omar. "Effect of pH, water percentage and surfactant percentage on stability of water in diesel emulsion." IOP Conference Series: Materials Science and Engineering 454 (December 12, 2018): 012097. http://dx.doi.org/10.1088/1757-899x/454/1/012097.

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40

Park, S., J. Sinclair, K. Crosby, K. Yoo, and L. Pike. "(12) Detection of QTL for Three Individual Sugar Compositions in Muskmelon." HortScience 40, no. 4 (July 2005): 1040A—1040. http://dx.doi.org/10.21273/hortsci.40.4.1040a.

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The ratio of individual sugar compositions is an important fruit quality trait in muskmelon. Our objective was to identify RAPD markers associated with QTL for percentage of each individual sugar (sucrose, glucose, and fructose) using bulked segregant analysis in an F2 population derived from the melon cross of `TAM Dulce' (high sucrose percentage of total sugars) x TGR1551 (low sucrose percentage of total sugars). Continuous distributions for sucrose, glucose, and fructose percentages of total sugars were observed in the genetic population indicating quantitative inheritance for the traits. A significant positive correlation was observed between sucrose percentage and sucrose (r= 0.89) or soluble solids (r= 0.33), whereas a significant negative correlation was noted between sucrose percentage and glucose percentage (r = –0.85) or fructose percentage (r = –0.58). A total of 500 primers was used to screen between low and high DNA bulks for three individual sugar percentages. Ten RAPD markers, four amplified from `TAM Dulce' and six amplified from TGR1551, were significantly associated with QTL for at least one individual sugar percentage. Of the 10 markers identified, six were consistently associated with two to three traits. The OAU13.1350 obtained from `TAM Dulce' accounted for 13% and 19% of the phenotypic variation for sucrose and glucose percentages, while OAW06.600 obtained from TGR1551 explained 17% and 18% of the variation for the two traits. The OAA09.350 and OAU05.600 markers accounted for 4% to 13% of the variation for three sugar percentages. These markers associated with QTL for three individual sugar compositions could be useful in melon breeding for improving the mature fruit quality.

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41

A., Ramírez Castañeda Iscander, Velázquez Reyes Sara M., and García Carrillo María C. "Analysis of Percentage of Employability, Case Study Licensee in Administration." International Journal of Trend in Scientific Research and Development Volume-1, Issue-5 (August 31, 2017): 53–61. http://dx.doi.org/10.31142/ijtsrd2226.

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42

Chappell, Kelly K. "Mathematics Computer Software Characteristics with Possible Gender-Specific Impact: A Content Analysis." Journal of Educational Computing Research 15, no. 1 (July 1996): 25–35. http://dx.doi.org/10.2190/vfwx-g00b-6j1k-04n7.

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This study analyzes, as a function of grade level, the representation of gender, competition, and violence in seventeen top-selling educational software programs designed for use in the mathematics classroom. The percent of male characters and voices portrayed and the percent of female characters and voices portrayed are reported for each software program. A violence percentage, competition against program percentage, and competition against peer percentage are reported for each program. The results indicate that the mean percentages of violence, mean percentages of competition against the program, and mean percentages of competition against a peer increase across grade level. The mean percentages of female characters and voices portrayed decrease with grade level.

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43

Lestiana, Herani Tri. "What are The Difficulties in Learning Percentages? An Overview of Prospective Mathematics Teachers’ Strategies in Solving Percentage Problems." Indonesian Journal of Science and Mathematics Education 4, no. 3 (November 25, 2021): 260–73. http://dx.doi.org/10.24042/ijsme.v4i3.10132.

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Many studies showed that teachers and prospective teachers have difficulty solving percentage problems. This research is a qualitative descriptive study that aims to investigate the prospective teachers’ strategies in solving problems on the topic of percentages. A total of 250 students majoring in Mathematics Education and Primary Education at IAIN Syekh Nurjati and IAIN Pekalongan were purposively selected to participate in this study. The results showed that only less than half of the participants (40.1%) could give the correct answer. Qualitative data on the strategies used by prospective teachers on the percent question show that (1) teacher candidates ignore the importance of the % symbol and consider the % symbol only as a unit of measurement, (2) teacher candidates ignore the essential role of the reference quantity in the percent question, (3 ) teacher candidates are not used to solving percent problems related to determining initial values before discounts and assume that any percent problem can be solved using multiplication or division.

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44

Doehlert, Douglas C., Michael S. McMullen, and Robert R. Baumann. "Factors Affecting Groat Percentage in Oat." Crop Science 39, no. 6 (November 1999): 1858–65. http://dx.doi.org/10.2135/cropsci1999.3961858x.

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45

Chaivivatrakul, Supawadee. "Automatic Assessment of Seed Germination Percentage." Engineering Journal 24, no. 4 (July 31, 2020): 85–96. http://dx.doi.org/10.4186/ej.2020.24.4.85.

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46

Burg, M. G. J. Van Der. "73.1 Check Your Annual Percentage Rate." Mathematical Gazette 73, no. 463 (March 1989): 28. http://dx.doi.org/10.2307/3618200.

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47

STUDENT. "PERCENTAGE OF UNINSURED CHILDREN HAS INCREASED." Pediatrics 88, no. 5 (November 1, 1991): 1051. http://dx.doi.org/10.1542/peds.88.5.1051.

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The proportion of children in the United States without private or public health insurance increased from roughly 13 percent to 18 percent between 1977 and 1987, according to a new study by the Agency for Health Care Policy and Research (AHCPR). The growth in the proportion of uninsured children in poor and low-income families over the decade was even more dramatic—it rose from 21 percent to 31 percent.

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48

"Percent, Percentage, and Percentile: Getting Them Straight." Nurse Author & Editor 11, no. 3 (September 2001): 4–7. http://dx.doi.org/10.1111/j.1750-4910.2001.tb00465.x.

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49

"Percentage Right; Percentage Wrong." Mathematics Teaching in the Middle School 21, no. 4 (November 2015): 202–5. http://dx.doi.org/10.5951/mathteacmiddscho.21.4.0202.

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50

Nährlich, Stefan. "Percentage Philanthropy." Stiftung&Sponsoring, no. 4 (August 1, 2013). http://dx.doi.org/10.37307/j.2366-2913.2013.04.12.

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