PEMODELAN DATA PISA INDONESIA MENGGUNAKAN MULTIVARIATE LINEAR MIXED MODELS

IRSYAD HASARI, . (2021) PEMODELAN DATA PISA INDONESIA MENGGUNAKAN MULTIVARIATE LINEAR MIXED MODELS. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

The Programme for International Students Assessment (PISA) merupakan program yang diselenggarakan oleh Organisation for Economic Cooperation and Development (OECD) secara berkala untuk mengevaluasi kualitas pendidikan suatu negara berdasarkan perkembangan literasi siswa yang meliputi nilai literasi matematika, sains, dan membaca. Hasil survei PISA 2018 menunjukan bahwa Indonesia mengalami penurunan, bahkan menduduki posisi 72 dari 79 negara yang mengikuti survei tersebut. Hal ini menunjukkan bahwa masih rendahnya kualitas pendidikan di Indonesia. Penelitian ini bertujuan untuk mengetahui faktor – faktor yang memegaruhi terhadap ketiga skor PISA. Model yang digunakan untuk merepresentasikan hubungan antara ketiga skor PISA dengan faktor – faktor yang memengaruhinya serta sekolah sebagai pengaruh acak adalah Multivariate Linear Mixed Models (MLMM). Berdasarkan model tersebut dihasilkan faktor – faktor yang memengaruhi ketiga skor PISA, yaitu jenjang pendidikan, pendidikan orang tua, akses internet, Handphone (HP), buku dan e-book, perilaku siswa, usia masuk TK, dan tinggal kelas saat SD. Model yang diperoleh cocok dan relatif baik dalam memodelkan skor PISA Indonesia berdasarkan estimasi keragaman pengaruh acak, uji signifikansi parameter, dan diagnostik model. The Program for International Students Assessment (PISA) is a program organized by the Organization for Economic Cooperation and Development (OECD) on a regular basis to evaluate the quality of a country's education based on the development of student literacy which includes literacy scores in mathematics, science, and reading. The results of the 2018 PISA survey show that Indonesia has experienced a decline, even occupying the 72nd position out of 79 countries that took part in the survey. This shows that the quality of education in Indonesia is still low. This study aims to determine the factors that affect the three PISA scores. The model used to represent the relationship between the three PISA scores and the factors that influence them and school as a random influence is Multivariate Linear Mixed Models (MLMM). Based on this model, the factors that affect the three PISA scores are obtained, namely education level, parental education, internet access, cellphones (HP), books and e-books, student behavior, age of entering kindergarten, and failing a grade while elementary school. The model obtained is suitable and relatively good in modeling the Indonesian PISA score based on the estimation of the variance of random effects, parameter significance test, and model diagnostics

Item Type:	Thesis (Sarjana)
Additional Information:	1). Vera Maya Santi, M.Si. ; 2). Dian Handayani, M.Si.
Subjects:	Sains > Matematika
Divisions:	FMIPA > S1 Statistika
Depositing User:	Users 12048 not found.
Date Deposited:	30 Aug 2021 06:42
Last Modified:	30 Aug 2021 08:30
URI:	http://repository.unj.ac.id/id/eprint/18277

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