Identifikasi Kemampuan Multipel Representasi Mahasiswa Calon Guru Fisika
Abstract: The purpose of this
study is to identify the profile of multiple representations ability of prospective physics teachers in solving
physics problems. Study subjects were 35 undergraduate students who have
followed the general physics course. The
study was conducted at an LPTK in North Sumatra. The research method is
descriptive method. The ability of MR profile
prospective teacher includes the format: 1) verbal representation; 2)
mathematical representation; 3) representation of graph, and 4) a pictorial representation
(drawing/ diagram). The research instrument consists of 16 item multiple choice
questions with 5 options (are four items for each representation format). The
quality of student representation capability based on the accumulated answer to
each student representation format qualitatively made in four categories,
namely: 1) excellent with a score of 4; 2) good category with a score of 3; 3)
poor category with a score of 2; and 4) the category of very poor with score of
£ 1. The study results indicate that the ability of the highest student
representation is the ability of the mathematical representation (80.0% in a
good and excellent categories). The next representation ability is verbal
representation (71,40% in the good and excellent category). While the pictorial
representation of only 34.4% which is in the good and excellent category and
65.6% is still in the poor and very poor category. The lowest representation
ability is the graphical representation format (only 22.9% in good, while 77.1%
are in poor and very poor category. The average scores from the highest to the
lowest are: mathematical representation,
2.91; verbal representation, = 2.74; pictorial representation, = 2.26,
and the graphical representation of = 1.89..
Keywords: multipel representasi, representasi verbal,
representasi matematis, representasi grafik, representasi pictorial
Penulis: Nurliana Marpaung, Liliasari,
Agus Setiawan
Kode Jurnal: jpbiologidd160270
