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All Journal Journal of Mathematics: Theory and Applications
Syandriana Syarifuddin
Badan Pusat Statistik Kab. Kolaka Timur
Mathematics

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Analisis Tingkat Kepentingan terhadap Faktor-Faktor yang Mempengaruhi Indeks Pembangunan Manusia di Indonesia Retno Mayapada -; Reski Wahyu Yanti; Syandriana Syarifuddin
Journal of Mathematics: Theory and Applications Volume 4, Nomor 2, 2022
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (196.598 KB) | DOI: 10.31605/jomta.v4i2.2030

Abstract

Indeks Pembangunan Manusia (IPM) merupakan ukuran kunci untuk mengukur keberhasilan upaya peningkatan kualitas hidup penduduk. IPM dapat menentukan peringkat atau tingkat perkembangan suatu wilayah/negara. Indeks Pembangunan Manusia (IPM) mengukur kinerja pembangunan manusia berdasarkan banyak komponen dasar kualitas hidup. Indeks Pembangunan Manusia (IPM) juga merupakan indikator penting untuk mengukur keberhasilan upaya peningkatan kualitas hidup. Penelitian ini menggunakan metode regresi random forest dengan tingkat kepentingan peubah prediktor diukur menggunakan nilai Shapley Addictive Explanation (SHAP). Hasil penelitian menunjukkan bahwa dari keempat faktor-faktor yang mempengaruhi IPM, peubah pengeluaran per kapita (X1) memiliki tingkat kepentingan tertinggi dan yang terendah adalah peubah angka harapan lama sekolah (X3). Sementara rata-rata lama sekolah (X2) dan umur harapan hidup saat lahir (X4) memiliki tinkat kepentingan berturut-turut kedua dan ketiga terhadap IPM di Indonesia.
Analisis Hubungan antara Nilai Mata Kuliah Metode Statistika dan Mata Kuliah Teori Peluang pada Mahasiswa Statistika dengan Korelasi Somers' D Reski Wahyu Yanti; Retno Mayapada; Andi Sri Rahayu Kasma; Syandriana Syarifuddin; Andi Seppewali
Journal of Mathematics: Theory and Applications Volume 5, Nomor 1, 2023
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jomta.v5i1.2782

Abstract

The subjects studied at university are often interrelated and form an intact of complete knowledge. This study aims to analyze the asymmetrical relationship between Statistical Methods scores and Probability Theory scores in Statistics students through Somers' d correlation analysis. Based on the analysis performed, it was found that there was a strong correlation (0.612 and 0.716) between the scores obtained by students in the Statistical Methods and Probability Theory. The analysis also shows that the scores of the Statistical Method that students obtained has a significant influence on students' Probability Theory scores. So it can be concluded, that the higher the student's Statistical Method score obtained in the early semester, the higher the chance for students to get high Probability Theory scores in the following semester.
Co-Authors Andi Seppewali Andi Sri Rahayu Kasma Reski Wahyu Yanti Retno Mayapada Retno Mayapada -