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.

The halal food study is one of the research fields in halal trend which prominent. Currently, the halal food concept is not only the worship of Muslims to Allah, but also this concept is adopted by non-Muslim with healthy lifestyle considerations. Therefore, the insight of the influenced variable on purchased intention behavior of students is crucial to research as basic information for all stakeholders, such as the seller, marketer, policymaker, government, and researchers. A quantitative approach has investigated the influence of attitude and need for cognition variables on student’s purchase intention behavior on halal food. This research aimed to explore the independent variable that influenced students' purchase intention behavior. Then, the other aim is to compare them through the school's clustering perspective. The self-administrated questionnaire was used to collect the data from 561 respondents and inputted into the Survey123 software. The data were analyzed using descriptive and interferential statistics. The result showed that attitude toward halal (HA) and need for cognition (NC) were accepted as the influenced variable on halal food purchase intention behavior. Furthermore, the students from Islamic schools tended to have purchase intention on halal than senior high school. The result of this study could be strategic marketing in the halal food industry. Then, the school must strengthen halal awareness in the syllabus.

Analysis of earnings management is carried out to achieve profit targets applied in financial statements management. This study analyzes the difference between earnings management in the consumer goods industry sector, Islamic and conventional stocks. Data is on financial statements and annual reports of manufacturing companies on IDX in 2016-2019 as many as 19 sharia and 10 non-sharia issuers. This research uses analysis of the independent samples test of earnings management, current tax burden, firm size, managerial ownership, and leverage both Islamic and Conventional stocks. The results show a significant difference in several variables in earnings management between two markets, i.e., Islamic and Conventional Stocks, which are current tax burden, managerial ownership, and leverage in manufacturing companies in the consumer goods industry in Indonesia in the period of 2016-2019

This study uses independent variables, namely FDR, TPF, ROA. The dependent variable used is Profit Sharing Financing. The population in this study is Indonesian Islamic Commercial Banks. Samples were selected using purposive sampling method. In this study, there were 11 Islamic Commercial Banks with a research period of 5 years. The sample used in this study amounted to 55. The analytical method used in this research is multiple linear regression analysis which is processed using SPSS 25 and Microsoft Excel applications. The results of this study partially show that FDR, DPK, and ROA have no effect on the financing of profit-sharing financing, while the DPK variable has a significant effect on profit-sharing financing. Based on the research results, the ratio of FDR, DPK, and ROA simultaneously has a significant effect on profit sharing financing at Indonesian Islamic Commercial Banks. Based on the results of simultaneous and partial research, it is concluded that the most dominant influence on profit sharing financing in Indonesia in this study is the DPK variable.