Penelitian ini bertujuan untuk menerapkan regresi nonparametrik menggunakan regresi kernel dan spline. Regresi kernel menggunakan metode penaksir Nadaraya-Watson (NWE) dan penaksir Polinomial Lokal (LPE), sedangkan untuk regresi spline adalah smoothing spline dan b-splines. Metode ini diterapkan dalam menganalisis pola hubungan Pertumbuhan Produksi Industri (PPI) dan Tingkat Pajak Perusahaan (TPP). Hasil pengepasan kurva (fitting curve) menunjukkan bahwa model regresi nonparametrik terbaik adalah model regresi b-splines dengan degree 2 dan jumlah knot 5. Hal ini dikarenakan model regresi b-splines memiliki kurva yang halus dan terlihat lebih mengikuti sebaran data dibandingkan kurva model regresi lainnya. TPP berpengaruh signifikan negatif terhadap PPI artinya kenaikan TPP akan menurunkan PPI. Oleh sebab itu perlu kebijakan yang komprehensif dalam menerapkan nilai TPP agar tetap dapat meningkatkan produktivitas industri.
The problem in this research is the increase and decrease in profit that occurs in the variables ROA, ROE, NPM, and profit growth. This study uses data collection method is documentation on banking companies on the Indonesia Stock Exchange. The results show that Hypothesis 1 that ROA has a significant effect on Profit Growth, This means that when there is an increase in ROA, it has an effect on Profit Growth. Hypothesis 2 that ROE has no significant effect on Profit Growth, this is because the significance value is 0.038 <0.05. Hypothesis 3 that NPM has a significant effect on Profit Growth, then NPM will affect the expected profit growth of the owner on net income from company income. Hypothesis 4 shows the results that ROA, ROE and NPM have a significant effect on Profit Growth. The Fcount obtained is 3.270 with a significant level of 0.034 meaning that the level is significantly less than 0.05 or goodness of-fit so it can be concluded that simultaneously (simultaneously) all independent variables have a significant effect on the dependent variable.
Fenomena inflasi merupakan suatu gejala atau kejadian yang dapat diamati dimana tingkat harga umum mengalami kenaikan secara terus menerus. Penelitian ini memodelkan Inflasi di Provinsi Jawa Timur dan Bali dengan menggunakan model VAR. Model VAR yang didapat adalah model VAR dengan lag 2. Hasil yang didapat menunjukkan laju inflasi di Jawa Timur akan menurun ketika laju inflasi di Bali pada dua periode sebelumnya juga menurun dan satu periode sebelumnya meningkat. Selain itu, laju inflasi di Bali akan meningkat dengan meningkatnya laju inflasi di Jawa Timur baik periode kemarin atau satu periode sebelumnya maupun dua periode sebelumnya. Sebaliknya, laju inflasi di Bali akan menurun ketika laju inflasi pada dua periode sebelumnya meningkat
The Global Innovation Index (GII) is an instrument to assess the ranking of innovation capabilities of all countries. The sub-index of the GII has seven enabler pillars: Institutions, Human Capital and Research, Infrastructure, Market sophistication, Business Sophistication, Knowledge and Technology Outputs, and Creative Outputs. The k-means method and k-medians method are methods for cluster countries based on GII. Cluster 1 in k-means method consists of 48 Countries, Cluster 2 consists of 45 Countries and Cluster 3 consists of 33 Countries and has the average value of seven variables are the highest. Cluster 1 in k-medians method consists of 33 Countries and has the average value of seven variables are the highest., Cluster 2 consists of 53 Countries and Cluster 3 consists of 40 Countries. The result clustering with using k-means method and k-medians method showed that k-medians is better than k-means method because the variance value of k-medians is smaller than k-means.
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