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Kemampuan Berpikir Kritis Matematis Siswa Pada Materi Sistem Persamaan Linear Dua Variabel Nurmalita, Rahma; Zulkarnaen , Rafiq
Jurnal Educatio FKIP UNMA Vol. 10 No. 1 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/educatio.v10i1.6463

Abstract

Kemampuan berpikir kritis matematis siswa masih rendah. Hal ini ditunjukkan dengan siswa kurang mampu dalam memahami permasalahan pada soal yang diberikan serta kesulitan dalam mampu dalam mengidentifikasi soal. Penelitian ini bertujuan untuk mengkaji kemmpuan berpikir kritis matematis siswa MTs di satu Kabupaten Karawang dalam menyelesaikan soal sistem persamaan linear dua variabel. Subjek penelitian ini adalah 30 siswa kelas VIII yang sudah mempelajari materi sistem persamaan linear dua variabel. Instrumen penelitian yang digunakan berbentuk soal uraian sebanyak empat soal, setiap soal mengacu pada empat aspek berpikir kritis yang meliputi: Reason, Situation, Overview dan Inference. Berdasarkan hasil penelitian diperoleh, kemampuan berpikir kritis siswa pada aspek Reason merupakan aspek dengan persentase tertinggi yaitu siswa mampu memberikan alasan berdasarkan fakta/bukti yang relevan tentang jawaban yang dikemukakan. Dan aspek dengan persetase rendah yaitu aspek Infeence siswa belum mampu dalam memahami permasalahan dengan disertai langkah-langkah penyelesaian, serta belum mampu menuliskan kesimpulan yang masuk akal.
Analisis Perspektif Lingkungan Pembelajaran Mahasiswa Tingkat Pertama Perguruan Tinggi Nurmalita, Rahma; Nur'aini, Ruhul Aflah; Hasyim, Nur Wakhid
Jurnal Riset Pendidikan Kimia (JRPK) Vol. 13 No. 2 (2023): Jurnal Riset Pendidikan Kimia (JRPK), Volume 13 Nomor 2 (2023)
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JRPK.132.06

Abstract

The purpose of this study is to analyze the perspectives of a university or college-level classroom learning instrument, the college and university classroom environment inventory (CUCEI), and then use it to compare students' actual and preferred perceptions of their classroom learning environments at the upper secondary and higher education levels. This study also examined differences in perceptions according to faculty and student expectations. A sample of 30 students participated in this study. The reliability of the modified CUCEI scale ranged from 0,28 to 0.88 for actual form and 0,65 to 0.94 for preffered form. When the two forms of instruments were compared, students in the first year of higher education had a perception of an actual learning environment that was less good than ideal in the cooperation dimension. Therefore, there is a need to improve the learning environment on the cooperation aspect.
Pengelompokkan Wilayah Banjir di Jawa Tengah untuk Mitigasi Banjir Menggunakan Pendekatan K-Medoids Sanmas, Safril Ahmadi; Nurmalita, Rahma; Sulistiyani, Dwi; Haris, M. Al
Jurnal Statistika dan Komputasi Vol. 3 No. 2 (2024): Jurnal Statistika dan Komputasi
Publisher : Universitas Nahdlatul Ulama Sunan Giri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/statkom.v3i2.3223

Abstract

Background: Flooding is a natural event that can occur at any time, often resulting in fatalities and significant material losses. Mapping flood zones in Central Java based on flood occurrences is crucial for optimizing disaster management. Clustering approaches are highly relevant and potential methods for tackling flood mitigation challenges in Central Java. Objective: To map flood zoning in Central Java using the optimal K-Medoids method based on the Silhouette Coefficient. Methods: This study uses the K-Medoids method for Clustering analysis because it is more resistant to outliers. Unlike K-Means, K-Medoids selects the medoid as the cluster center, making it more stable against extreme values. The data used was obtained from the Dinas PUSDATARU of Central Java Province regarding flood events in the region from October 1, 2022, to March 2023. Results: The K-Medoids method with k=2 produced the highest Silhouette Coefficient of 0.83748, Clustering 34 districts/cities with low flood occurrences and 1 district/city with high flood occurrences. This model evaluation supports the planning of disaster mitigation policies that focus more on flood-prone areas. Conclusion: There are two groups of districts/cities based on flood occurrence levels. The high Silhouette Coefficient value indicates a good cluster structure.