Classification of living things

2001 ◽  
Vol 38 (07) ◽  
pp. 38-3879-38-3879
Keyword(s):  
Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2335
Author(s):  
Elena Niculina Dragoi ◽  
Vlad Dafinescu

The search for powerful optimizers has led to the development of a multitude of metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom as a source of inspiration and performs an extensive, yet not exhaustive, review of the animal inspired metaheuristics proposed in the 2006–2021 period. The review is organized considering the biological classification of living things, with a breakdown of the simulated behavior mechanisms. The centralized data indicated that 61.6% of the animal-based algorithms are inspired from vertebrates and 38.4% from invertebrates. In addition, an analysis of the mechanisms used to ensure diversity was performed. The results obtained showed that the most frequently used mechanisms belong to the niching category.


Author(s):  
Diana Rahmawati ◽  
Mutiara Puspa Putri I ◽  
Miftachul Ulum ◽  
Koko Joni

Bacteria are a group of living things or organisms that do not have a core covering. In the grouping, some bacteria are pathogenic. With a microscopic size, many pathogenic bacteria are found around and spread through the food eaten or by touching objects around them, then cause diseases such as diarrhea, vomiting, and others. As a more effective effort to help the government and society prevent disease caused by pathogenic bacteria, a system for the identification and classification of pathogenic bacteria K-Nearest Neighbor was created. This system uses a biological microscope that is attached to a webcam camera above the ocular lens as a tool to see bacterial objects and assist in bacterial capture. Rough player rotates automatically (auto-focus) in image capture. In the process of classification and identifying bacteria, the K-Nearest Neighbor method is used, which is a method with the calculation of the nearest neighbor or calculation based on the level of similarity to the dataset. In this study, the bacteria vibrio chlorae, staphylococcus aereus, and streptococcus m. with the highest accuracy is the K = 9 value of 97.77% using the Chebyshev method.


Author(s):  
Andrew V. Z. Brower ◽  
Randall T. Schuh

Understanding the history and philosophy of biological systematics (phylogenetics, taxonomy and classification of living things) is key to successful practice of the discipline. In this thoroughly revised third edition, the authors provide an updated account of cladistic principles and techniques, emphasizing their empirical and epistemological clarity. The book covers the history and philosophy of systematics; the mechanics and methods of character analysis, phylogenetic inference, and evaluation of results; the practical application of systematic results to biological classification, adaptation and coevolution, biodiversity, and conservation; along with new chapters on species and molecular clocks. The book is both a textbook for students studying systematic biology and a desk reference for practicing systematists. Part explication of concepts and methods, part exploration of the underlying epistemology of systematics, the edition addresses why some methods are more empirically sound than others.


2021 ◽  
Vol 11 (1) ◽  
pp. 53-63
Author(s):  
Deden Ibnu Aqil Deden ◽  
Agung Purwanto ◽  
Setia Budi ◽  
Askardiya Mirza Gayatri ◽  
Adeng Hudaya

The purpose of this study is to find out how the application of learning with problem based learning (PBL) in influencing the character of hard work and student discipline through the material classification of living things. The method used in this study was class VII a number of 25 students in the Nusa Bhakti Junior High School in Depok City as objects in the natural science subject matter classification of living things. Data collection techniques using learning methods and questionnaires / questionnaires. The instrument test uses descriptive analysis, linearity test, homogeneity test and t-paired t-test. The results showed that the value of sig. (2-tailed) is 0.015 <0.05 (α = 5%) that there are differences in students' hard work before and after the use of PBL and sig. (2-tailed) 0.002 <0.05 (α = 5%) ie there are differences in student discipline before and after the use of PBL. Learning with problem based learning (PBL) can improve the character of students' hard work and discipline.


2021 ◽  
Vol 5 (2) ◽  
pp. 235
Author(s):  
Nurhayati Nurhayati ◽  
Sri Wulandari ◽  
Evi Suryawati

This study aims to determine the effect of guided inquiry models and modified free inquiry on critical thinking in the classification of living things. This research was conducted at SMPN 25 Pekanbaru. The research was carried out in the form of an experiment. The study population was class VII. The sample was taken using simple random sampling technique, which consisted of 3 classes, namely the experimental class 1 using the guided inquiry model, the experimental class 2 using the modified free inquiry model and the control class using the conventional method. The research design used a pretest and posttest control group design. Data were analyzed by using ANOVA test (one way ANOVA). Based on the result data, the average critical thinking result of the classification of living things with an average value of the experimental class 1 is 77.84 (good), the experimental class 2 is 70.93 (good) and the control class is 43.29 (poor). In the experimental class class 1, the critical thinking average is higher than the experimental class 2 and the control class. Based on the results of the ANOVA test, it was stated that the use of guided inquiry models and modified free inquiry had a significant effect on students' critical thinking in the experimental class 1, the experimental class 2 and the control class with a significant value (0.000) <alpha (0.05). 


2021 ◽  
Vol 2 (1) ◽  
pp. 25-34
Author(s):  
Zulfah Zulfah ◽  
Adilah Endah Putriyani

Abstract Science instruction with conceptual material is often less attractive to students. It’s considered less attractive and difficult to understand than it’s necessary to develop interactive learning media for instruction. This study aims to develop the media and see its effect on increasing student interest in science instruction by using the Encyclopedia of Classification of Living Things through the demonstration method. This research was conducted on grade VII students at Madrasah Tsanawiyah 4 Ponorogo in the 2019/2020 school year. The type of research used is descriptive quantitative research. Data collection by filling out a questionnaire to measure students' interest in instruction. The results showed that there was an increase in student interest in instruction after using the Encyclopedia Media of Classification of Living Things. The average value obtained from before instruction was 74.76 while the average score obtained of post instruction was 75.52. Based on the analysis of these data, it can be concluded that there is an increase in student interest in science instruction by using encyclopedia media in classification of living things material. Keywords: Learning interest; natural science instruction; media


2020 ◽  
Vol 1 (1) ◽  
pp. 50
Author(s):  
Nuryati Nuryati

The design of this study uses classroom action research. Classroom Action Research. There are four stages in action research, namely (1) planning, (2) implementation, (3) observation, and (4) reflection. In this study, researchers conducted activities in two cycles with each cycle consisting of one meeting. The results of this study describe students' learning outcomes data on the subject Classification of Living Things by using the Problem Based Learning model on Class VII A students of SMP Negeri 4 Tapung Hilir. Data collected by researchers from the learning outcomes of students through written tests. From the results of the assessment conducted in the first cycle that is obtained a value of 50-56 with a frequency of 2 (10%), a value of 57-63 with a frequency of 4 (20%), a value of 64-70 with a frequency of 4 (20%), a value of 71-77 with a frequency of 5 (25%), a value of 78-85 with a frequency of 5 (25%). From the results of the assessment conducted in the second cycle that is obtained a value of 65-71 with a frequency of 2 (10%), a value of 72-78 with a frequency of 3 (15%), a value of 79-85 with a frequency of 6 (30%), a value of 86-92 with a frequency of 3 (15%), a value of 93-100 with a frequency of 6 (30%). Based on the data obtained in Cycle I shows that the number of students who completed as many as 10 students or (50%), not complete as many as 10 students or (50%), while the second cycle of students who completed as many as 17 students or (85 %), and incomplete 3 students or (15%).


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