Partial least squares regression – or PLS regression – is a multivariate method in which the model parameters are estimated using either the SIMPLS or NIPALS algorithm. PLS regression has been extensively used in applied research because of its effectiveness in analyzing relationships between an outcome and one or several components. Note that the NIPALS algorithm can provide estimates parameters on incomplete data. The selection of the number of components used to build a representative model in PLS regression is a central issue. However, how to deal with missing data when using PLS regression remains a matter of debate. Several approaches have been proposed in the literature, including the Q2 criterion, and the AIC and BIC criteria. Here we study the behavior of the NIPALS algorithm when used to fit a PLS regression for various proportions of missing data and different types of missingness. We compare criteria to select the number of components for a PLS regression on incomplete data set and on imputed data set using three imputation methods: multiple imputation by chained equations, k-nearest neighbour imputation, and singular value decomposition imputation. We tested various criteria with different proportions of missing data (ranging from 5% to 50%) under different missingness assumptions. Q2-leave-one-out component selection methods gave more reliable results than AIC and BIC-based ones.
Penelitian ini bertujuan untuk mengetahui apakah EVA dan MVA memberikan tambahan dana bagi penyandang dana dan apakah EVA dan MVA berpengaruh terhadap harga saham perusahaan telekomunikasi. Penelitian ini menggunakan metode deskriptif kuantitatif. Populasi dalam penelitian ini adalah seluruh perusahaan telekomunikasi dan alat analisis data yang digunakan adalah metode asumsi klasik dengan analisis regresi linier berganda, koefisien determinasi, uji-t dan uji-F. Hasil penelitian ini menunjukkan bahwa: EVA dan MVA tidak berpengaruh terhadap variabel harga saham perusahaan Telekomunikasi berdasarkan hasil uji t. Berdasarkan uji f menunjukkan bahwa tidak terdapat pengaruh antara EVA, MVA terhadap harga saham jika dianalisis secara bersama-sama. Hasil R2 sebesar 16,7%, variasi harga saham dapat dijelaskan oleh dua variabel bebas yaitu EVA dan MVA, sedangkan sisanya dijelaskan oleh variabel lain di luar model regresi.
This study aims to determine the effect of promotion, knowledge and trust on people's interest in saving at Bank Syariah Indonesia KCP Singkut. This study uses quantitative methods by obtaining primary data from questionnaires by taking as many as 86 respondents. The results of the t-test showed that the promotion and trust variables had a significant effect, while the knowledge variable had no significant effect. The results of the F-test stated that promotion, knowledge and trust had a significant effect on saving interest together. The coefficient of determination from promotion, knowledge and trust is 28.4% towards people's interest in saving. Based on this results, Islamic banking can make a combination of promotion and education wrapped in a religious agenda to increase the interest of the people of Pelawan Jaya Village to use the services of Indonesian Sharia banking.
Environmental problems are becoming an issue along with the issue of global warming whose impacts are increasingly being felt. Cases of environmental destruction in Indonesia are increasing, so several directions of government policies have started toward sustainable development goals (SDGs). The situation has challenged Islamic finance, an alternative financial system that is said to be the answer to the current toxic financial system, to prove itself to support the environment quality. This research aims to determine the impact of Islamic financial development, Gross Domestic Product (GDP), and population on the environmental quality in Indonesia using data spanning from 2016 to 2020. The results show that GDP significantly impacts the environmental quality of almost all major islands in Indonesia. Overall, in the territory of Indonesia Islamic financial development had a significantly negative effect at a significant level of 10% on environmental quality.
Abstract. The implementation of the Corporate Social Responsibility (CSR) program will have a positive impact not only on banking operations but on the continued existence in the future. With the implementation of CSR, Islamic banks not only gain economic benefits in terms of profit and growth but also enhance the public image and public trust. The results of this CSR program bring Islamic Banks closer to the people for better social change. Structural Equation Modelling results show that CSR variables significantly influence the image and trust of Bank Syariah Mandiri Jambi.Keywords: Corporate Social Responsibility; Image; Trust; Structural Equation Modelling.Abstrak. Implementasi program Tanggung Jawab Sosial Perusahaan akan memiliki dampak positif tidak hanya pada operasi perbankan tetapi pada keberlanjutan keberadaan di masa depan. Dengan penerapan Tanggung Jawab Sosial Perusahaan, bank syariah tidak hanya mendapatkan manfaat ekonomi dalam hal laba dan pertumbuhan tetapi juga meningkatkan citra dan kepercayaan masyarakat. Hasil dari program Tanggung Jawab Sosial Perusahaan ini membawa bank-bank Islam lebih dekat kepada masyarakat untuk perubahan sosial yang lebih baik. Hasil Structural Equation Modeling menunjukkan bahwa variabel Tanggung Jawab Sosial Perusahaan berpengaruh signifikan terhadap citra dan kepercayaan Bank Syariah Mandiri Jambi.Kata kunci: Tanggung jawab sosial perusahaan; Citra; Kepercayaan; Pemodelan Persamaan Struktural.
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