Pengembangan Mobile Learning (M-Learning) Berbasis Android pada Sub-Materi Bentuk Molekul untuk Meningkatkan Kecerdasan Visual Spasial Peserta Didik

Development of Android-Based Mobile Learning (M-Learning) on Molecular Forms Sub-Material to Improve Students' Visual Spatial Intelligence

Penelitian ini bertujuan untuk menghasilkan M-Learning Berbasis android pada sub materi bentuk molekul yang layak untuk meningkatkan kecerdasan visual spasial peserta didik. Indikator kecerdasan visual spasial mencakup beberapa aspek, yaitu (1) aspek rotasi, (2) aspek simetris, dan (3) aspek interpretasi bentuk molekul 3D menjadi 2D atau sebaliknya. Penelitian ini menggunakan model pengembangan 4D yang dikemukakan oleh Thiagarajan (Define, Design, Develop dan Disseminate) yang dimodifikasi Ibrahim sehingga hanya dilakukan sampai tahap develop. Penelitian ini menghasikan kelayakan M-Learning berbasis android pada sub-materi bentuk molekul yang ditinjau dari validitas, kepraktisan dan keefektifan. Validitas M-Learning ditinjau dari aspek validitas isi dan validitas konstruk dengan masing-masing memperoleh modus 3 kategori valid. Kepraktisan M-Learning ditinjau dari angket respon dan observasi aktivitas peserta didik. Berdasarkan hasil angket respon peserta didik diperoleh rentang nilai persentase antara 70,37% - 96,30% dengan kategori praktis dan sangat praktis. Hasil observasi aktivitas peserta didik dieproleh rentang nilai persentase sebesar 81,48% - 100% dengan kriteria sangat praktis. Keefektifan M-Learning ditinjau dari ketuntasan klasikal dan peningkatan hasil belajar peserta didik. Dalam tes kompetensi diperoleh persentase ketuntasan klasikal 77,78% dan skor N-Gain pada rentang 0,63 – 1,00 dengan kriteria sedang dan tinggi, sedangkan pada tes visual spasial diperoleh skor N-Gain 0,63 – 1,00 dengan kriteria skor sedang dan tinggi.

This study aims to produce android-based M-Learning in the molecular shape sub-material that is feasible to improve students' visual-spatial intelligence. Spatial visual intelligence indicators cover several aspects, namely (1) rotational aspects, (2) symmetrical aspects, and (3) aspects of interpreting 3D molecular shapes into 2D or vice versa. This study used the 4D development model proposed by Thiagarajan (Define, Design, Develop and Disseminate) which was modified by Ibrahim so that it was only carried out until the develop stage. This study resulted in the feasibility of android-based M-Learning in the molecular shape sub-material regarding validity, practicality, and effectiveness. The validity of M-Learning is viewed from the aspect of content validity and construct validity with each mode obtaining 3 valid categories. The practicality of M-Learning is seen from the response questionnaire and observation of students' activities. Based on the results of the student response questionnaire, it was obtained that the percentage value range was between 70.37% - 96.30% in the practical and very practical categories. The results of observing student activities obtained a percentage value range of 81.48% - 100% with very practical criteria. The effectiveness of M-Learning in terms of classical completeness and improvement of student learning outcomes. In the competency test, the percentage of classical completeness was 77.78% and the N-Gain score was in the range of 0.63 – 1.00 with medium and high criteria, while in the spatial visual test, the N-Gain score was 0.67 – 1.00 with the criteria medium and high scores.