PENGARUH MODEL PEMBELAJARAN PROBLEM BASED LEARNING BERBANTUAN VIRTUAL LEARNING TERHADAP COMPUTATIONAL THINKING DITINJAU DARI COMPUTER APTITUDE SISWA KELAS X PADA MATA PELAJARAN PEMROGRAMAN DASAR DI SMKN 2 SURABAYA

THE EFFECT OF VIRTUAL LEARNING ASSISTED PROBLEM BASED LEARNING MODEL ON COMPUTATIONAL THINKING FROM COMPUTER APTITUDE OF X CLASS STUDENTS IN BASIC PROGRAMMING LESSONS AT SMKN 2 SURABAYA

Rosita, 2022. Pengaruh Model Pembelajaran Problem Based Learning Berbantuan Virtual Learning Terhadap Computational Thinking Ditinjau Dari Computer Aptitude Siswa Kelas X Pada Mata Pelajaran Pemrograman Dasar Di SMKN 2 Surabaya. Tesis, Program Studi Pendidikan Teknologi dan Kejuruan, Pascasarjana, Universitas Negeri Surabaya. Pembimbing : (I) Prof. Dr. Ekohariadi, M.Pd. dan (II) Dr. Lilik Anifah, M.T.

Kata-kata kunci : Problem Based Learning, Virtual Learning, Computational Thinking, Computer Aptitude.

Pendidikan mempunyai tantangan semakin kompleks, hal ini ditandai dengan perkembangan teknologi yang berkembang pesat, dimana pada abad 21 mensyaratkan komputerisasi disegala bidang. Pendidikan yang berkembang saat ini tentunya dituntut untuk lebih relevan dengan kebutuhan masyarakat yang terus berkembang mengkuti perkembangan teknologi. Computational Thinking dianggap sebagai kompetensi penting yang diperlukan untuk beradaptasi dengan teknologi masa depan. Dalam hal ini, sekolah ataupun guru juga perlu menerapkan model pembelajaran serta sarana dalam kegiatan belajar mengajar yang mengarah pada Computational Thinking. Model pembelajaran Problem Based Learning menjadi sebuah pendekatan pembelajaran yang menerapkan masalah dalam dunia nyata sebagai sebuah konteks berlatih berfikir kritis, pemecahan masalah, serta mendapatkan pengetahuan. Dengan memanfaatkan Virtual Learning juga membantu siswa belajar dimana saja dan kapan saja. Selain itu dengan Computer Aptitude, siswa lebih mudah memanfaatkan peluang pengembangan diri dan memiliki peluang yang besar di masa depan.

Tujuan penelitian (1) untuk menganalisis apakah Computational Thinking siswa yang diajarkan menggunakan model pembelajaran Problem Based Learning berbantuan Virtual Learning lebih tinggi dibandingkan dengan siswa yang diajarkan menggunakan model pembelajaran Direct Learning pada mata pelajaran pemrograman dasar. (2) untuk menganalisis Computational Thinking siswa dengan Computer Aptitude tinggi lebih tinggi dibandingkan siswa dengan Computer Aptitude rendah pada mata pelajaran pemrograman dasar. (3) untuk menganalisis apakah terdapat interaksi antara model pembelajaran dengan Computer Aptitude terhadap Computational Thinking siswa pada mata pelajaran pemrograman dasar.

Penelitian ini merupakan penelitian jenis quasi eksperiment dengan desain penelitian faktorial 2x2. Pada penelitian ini terdapat dua kelas yang nantinya akan dibandingkan menggunakan dua model pembelajaran yang berbeda yakni kelas eskperimen X RPL 1 dengan jumlah 36 siswa dan kelas kontrol X RPL 2 dengan jumlah 36 siswa di SMKN 2 Surabaya. 

Hasil penelitian yang telah dilakukan menunjukkan bahwa 1) Computational Thinking siswa yang diajar menggunakan model pembelajaran Problem Based Learning berbantuan Virtual Learning lebih tinggi dibandingkan siswa yang diajar menggunakan model pembelajaran Direct Learning pada mata pelajaran pemrograman dasar di SMKN 2 Surabaya. Ini diketahui melalui rata-rata yang diperoleh dari masing-masing kelas yaitu pada kelas eksperimen yang diajar dengan PBL berbantuan Virtual Learning mendapatkan rata-rata sebesar 70,89, sedangkan kelas kontrol yang diajarkan dengan DI berbantuan Virtual Learning skor memperoleh rata-rata 64,47. 2) Computational Thinking siswa dengan Aptitude tinggi lebih tinggi dibandingkan dengan siswa Computer Aptitude rendah pada mata pelajaran pemrograman dasar di SMKN 2 Surabaya. 3) Terdapat interaksi antara model pembelajaran dan Computer Aptitude terhadap Computational Thinking siswa terhadap mata pelajaran pemrograman dasar di SMKN 2 Surabaya. Ini diketahui melalui perolehan data yang didapatkan, Computational Thinking siswa dengan Computer Aptitude tinggi pada kelas eksperimen Problem Based Learning 76,900 > kelas kontrol Direct Learning 65,316. Sedangkan pada Computer Aptitude rendah untuk kelas eksperimen Problem Based Learning 63,375 < kelas kontrol Direct Learning 63,529.

Rosita, 2022. The Effect of Virtual Learning Assisted Problem Based Learning Model on Computational Thinking in terms of Computer Aptitude of Class X Students in Basic Programming Subjects at SMKN 2 Surabaya. Thesis, Technology and Vocational Education Study Program, Postgraduate, State University of Surabaya. Supervisor : (I) Prof. Dr. Ekohariadi, M.Pd. and (II) Dr. Lilik Anifah, M.T.

Keywords: Problem Based Learning, Virtual Learning, Computational Thinking, Computer Aptitude.

Education has increasingly complex challenges, this is marked by rapidly developing technological developments, which in the 21st century requires computerization in all fields. Education that is developing at this time is certainly required to be more relevant to the needs of the community that continues to develop following technological developments. Computational Thinking is considered as an important competency needed to adapt to future technologies. In this case, schools or teachers also need to apply learning models and facilities in teaching and learning activities that lead to Computational Thinking. The Problem Based Learning learning model is a learning approach that applies problems in the real world as a context for practicing critical thinking, problem solving, and gaining knowledge. By utilizing Virtual Learning also helps students learn anywhere and anytime. In addition, with Computer Aptitude, students find it easier to take advantage of self-development opportunities and have great opportunities in the future.

The research objective (1) is to analyze whether the Computational Thinking of students who are taught using the Problem Based Learning learning model assisted by Virtual Learning is higher than students who are taught using the Direct Learning learning model in basic programming subjects. (2) to analyze the Computational Thinking of students with high Computer Aptitude is higher than students with low Computer Aptitude in basic programming subjects. (3) to analyze whether there is an interaction between the learning model and Computer Aptitude on students' Computational Thinking in basic programming subjects.

This research is a quasi-experimental research with a 2x2 factorial research design. In this study, there are two classes which will be compared using two different learning models, namely the experimental class X RPL 1 with 36 students and the control class X RPL 2 with 36 students at SMKN 2 Surabaya.

The results of the research that have been carried out show that 1) Computational Thinking of students who are taught using the Problem Based Learning learning model assisted by Virtual Learning is higher than students who are taught using the Direct Learning learning model in basic programming subjects at SMKN 2 Surabaya. This is known through the average obtained from each class, namely the experimental class taught with PBL assisted by Virtual Learning got an average of 70.89, while the control class taught with DI assisted Virtual Learning got an average score of 64, 47. 2) Computational Thinking students with high Aptitude are higher than students with low Computer Aptitude in basic programming subjects at SMKN 2 Surabaya. 3) There is an interaction between the learning model and Computer Aptitude towards students' Computational Thinking on basic programming subjects at SMKN 2 Surabaya. This is known through the data obtained, Computational Thinking students with high Computer Aptitude in the Experimental Class Problem Based Learning 76,900 > Control class Direct Learning 65,316. Meanwhile, the low Computer Aptitude for Problem Based Learning experimental class is 63,375 < Direct Learning control class is 63,529.