PENGEMBANGAN BAHAN AJAR MATEMATIKA MENGGUNAKAN GEOGEBRA BERBASIS POE ( PREDICT, OBSERVE, EXPLAIN ) UNTUK PESERTA DIDIK KELAS XI PADA TOPIK PROGRAM LINEAR

QURNIA SYAFITRI, . (2022) PENGEMBANGAN BAHAN AJAR MATEMATIKA MENGGUNAKAN GEOGEBRA BERBASIS POE ( PREDICT, OBSERVE, EXPLAIN ) UNTUK PESERTA DIDIK KELAS XI PADA TOPIK PROGRAM LINEAR. Magister thesis, UNIVERSITAS NEGERI JAKARTA.

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1. COVER.pdf

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2. LEMBAR PENGESAHAN.pdf

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3. ABSTRAK & ABSTRACT.pdf

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4. RINGKASAN.pdf

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5. LEMBAR ORIGINALITAS.pdf

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6. KATA PENGANTAR.pdf

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7. DAFTAR ISI.pdf

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8. DAFTAR TABEL.pdf

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10. DAFTAR LAMPIRAN.pdf

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11. BAB I PENDAHULUAN.pdf

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Abstract

Penelitian ini dilatar belakangi oleh analisis kebutuhan peserta didik dan guru. Berdasarkan analisis kebutuhan didapat data paling banyak 56, 66% sebagian besar peserta didik merasakan kesulitan dalam mempelajari matematika topik program linear. 41, 66% Kesulitan menentukan permasalahan pada soal serta 33, 3% kesusahan buat menggambar grafik dan menciptakan wilayah penyelesaian ( DP). Dari analisis yang didapatkan 3, 33% keterbatasan media pendukung pengajaran jadi salah satu pemicu hadapi kesusahan dalam menekuni pelajaran program linear. Sebab hampir 85% pengajaran pendidik bersifat monoton memakai papan tulis, sedangkan pendidik memerlukan sebuah bahan ajar yang dapat mengikuti perkembangan teknologi. Penelitian ini bertujuan untuk mengembangkan. Penelitian dan pengembangan ini menggunakan Software Geogebra dan metode RnD yang mengacu pada model 4D. Teknik pengumpulan dan analisis data dalam penelitian ini berlandaskan pada metode kombinasi model POE Pengembangan Bahan Ajar Matematika Menggunakan GeoGebra Berbasis POE (Predict, Observe, Explain) untuk Peserta didik Kelas XI pada Topik Program Linear . Bagan ajar yang dikembangkan telah melalui validasi ahli media dengan nilai persentase rata-rata sebesar 85% dengan kriteria “Sangat Layak”. Hasil penilaian oleh ahli materi dan bahasa diperoleh persentase rata-rata sebesar 89% dengan kriteria “Sangat Layak”. Hasil penilaian oleh praktisi pendidik diperoleh persentase rata-rata sebesar 92% dengan kriteria “Sangat Layak”. Sedangkan hasil akhir penilaian pada uji coba kelompok kecil dan besar masing-masing diperoleh nilai persentase rata-rata sebesar 93% dan 96% dengan kriteria “Sangat Layak”. Sehingga bahan ajar Matematika menggunakan Geogebra berbasis POE yang dikembangkan memperoleh kategori sangat layak untuk dimanfaatkan dalam proses pembelajaran di sekolah dengan rata-rata keseluruhan adalah 91%. ************************************ This research is motivated by an analysis of the needs of students and teachers. Based on the needs analysis, the data obtained at the most 56, 66%, most of the students find it difficult to learn mathematics on linear programming topics. 41, 66% Difficulty determining problems in questions and 33, 3% difficulty in drawing graphs and creating solution areas (DP). From the analysis obtained, 3, 33% of the limitations of teaching support media are one of the triggers for facing difficulties in pursuing linear programming lessons. Because almost 85% of teacher teaching is monotonous using a blackboard, while teachers need a teaching material that can keep up with technological developments. This research aims to develop. This research and development uses Geogebra Software and the RnD method which refers to the 4D model. The data collection and analysis technique in this study is based on the POE model combination method. Development of Mathematics Teaching Materials Using GeoGebra Based on POE (Predict, Observe, Explain) for Class XI Students on Linear Program Topics. The developed teaching chart has been validated by media experts with an average percentage value of 85% with the "Very Eligible" criteria. The results of the assessment by material and language experts obtained an average percentage of 89% with the "Very Eligible" criteria. The results of the assessment by practicing educators obtained an average percentage of 92% with the "Very Eligible" criteria. While the final results of the assessment in the small and large group trials respectively obtained an average percentage value of 93% and 96% with both criteria "Very Eligible".

Item Type: Thesis (Magister)
Additional Information: 1). Dr. Makmuri, M.Pd. ; 2). Tian Abdul Aziz Ph.D.
Subjects: Sains > Matematika
Divisions: FMIPA > S2 Pendidikan Matematika
Depositing User: PKL .
Date Deposited: 14 Nov 2024 04:48
Last Modified: 14 Nov 2024 04:48
URI: http://repository.unj.ac.id/id/eprint/52102

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