Open AccessAnalysis Of The Impact Narrative Algorithm Method, Pseudocode And Flowchart Towards Students Understanding Of The Programming Algorithm Courses
Author(s) -
Sekreningsih Nita,
Sulistyaning Kartikawati
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/835/1/012044
Subject(s) - algorithm , flowchart , computer science , value (mathematics) , narrative , sample (material) , test (biology) , image (mathematics) , table (database) , sequence (biology) , artificial intelligence , machine learning , programming language , data mining , paleontology , philosophy , linguistics , chemistry , chromatography , biology , genetics
The definition of an algorithm is to describe a problem into a sequence of systematic steps in solving problems. Arranging the algorithm in sequence from beginning to end so that it can solve the problem. The results of the implementation of the algorithm are programs. So the purpose of making an algorithm is to facilitate the making of the program. There are 2 types of algorithms, 1) Text (narration and pseudocode), 2) Visual / image (flowchart). Comparison between the two, students understand it which is higher between the text or visual model. This study aims to see how much infuence the value of students understands the algorithm in text or in an image. In conclusion, students are easier to understand the types of algorithms in an image. The test uses the Paired Sample T test, with a 5% significance level obtained value = 0.05. This means that the t count is greater than t table of 2.06390 and P Value (0,06211 > 0,05) or T-stat smaller than T-critical two tile, it means H1 can be accepted or T-count < T-table (-1,95597<2,06390), so H0 can be accepted.