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Comparison and Simulation of Riba-free Investment with Riba-based Investment on Real Sector Productivity in Indonesia Viphindrartin, Sebastiana; Widarni, Eny Lestari; Setiyantono, Aulia Pamasa
Asia Pacific Journal of Management and Education (APJME) Vol 5, No 2 (2022): July 2022
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (244.091 KB) | DOI: 10.32535/apjme.v5i2.1552

Abstract

This study tries to simulate economic growth by using the interest rate as the calculated variable and without the interest rate as the calculated variable. In this study, two calculations were carried out where the first calculation was carried out by regression of Gross Domestic Real Gross as the dependent variable. Investment, consumption, and interest rates as independent variables. The second calculation is the same as the first calculation but omitted the interest rate. From the results of comparing the forecasting results from the threshold autoregressive, indicated that the interest that is used as the cost of capital has an impact on the instability of the real sector.
Central bank transparency and green innovation policy in Indonesia Alim, Muhammad Birrul; Setiyantono, Aulia Pamasa; Maqfiroh, Selvi
Jurnal Ikatan Sarjana Ekonomi Indonesia Vol 14 No 2 (2025): August
Publisher : Jurnal Ekonomi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52813/jei.v14i2.557

Abstract

A green economy is a sustainable and environmentally friendly development model. The green economy is expected to improve people's welfare without compromising the quality of the environment and natural resources. The purpose of this study is to determine the long-term and short-term relationship between monetary variables, namely interest rates, broad money, and central bank transparency, on the green economy in Indonesia. This study uses ARDL analysis with a sample period of 1999Q1 to 2019Q4. The results of short-term ARDL research show that green innovation is significantly influenced by innovation in the previous period, interest rates, and central bank transparency. Green innovation tends to increase when influenced by past performance and accommodative monetary policy, although some factors show the opposite impact in specific periods. Meanwhile, the effect of money supply on green innovation is dynamic, initially showing a significant positive impact in the short term but becoming negative in the subsequent period. Central bank transparency is also significant, with a positive direction in lag one and a negative in lag 2.
Comparison and Simulation of Riba-free Investment with Riba-based Investment on Real Sector Productivity in Indonesia Viphindrartin, Sebastiana; Widarni, Eny Lestari; Setiyantono, Aulia Pamasa
Asia Pacific Journal of Management and Education (APJME) Vol 5, No 2 (2022): July 2022
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/apjme.v5i2.1552

Abstract

This study tries to simulate economic growth by using the interest rate as the calculated variable and without the interest rate as the calculated variable. In this study, two calculations were carried out where the first calculation was carried out by regression of Gross Domestic Real Gross as the dependent variable. Investment, consumption, and interest rates as independent variables. The second calculation is the same as the first calculation but omitted the interest rate. From the results of comparing the forecasting results from the threshold autoregressive, indicated that the interest that is used as the cost of capital has an impact on the instability of the real sector.
Peningkatan Kapasitas Analisis Data Sebagai Strategi Penguatan SDM Berbasis Evidence-Based Decision Making Yunita, Mela; Setiyantono, Aulia Pamasa
Abdimas Mandalika Vol 5, No 2 (2026): Februari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/am.v5i2.37489

Abstract

Abstract:  Data analysis skills have become a crucial aspect of strategic decision-making in the fields of modern economics and business. However, only a limited number of people have mastered this skill. This data analysis training aims to enhance the analytical capacity of students and business practitioners in responding to the challenges of datadriven decision making. The activity was conducted as a technical training session using a handson approach with the STATA statistical software. The target participants included final-year university students and business practitioners who require an understanding of data structures and their application in economic and business studies. Evaluation results indicate a significant improvement in participants' conceptual understanding and technical skills. This outcome contributes to strengthening managerial capacity and fostering databased decision making. Moreover, the program supports the development of data analysis expertise and human resource development in both the business sector and higher educationAbstrak: Keterampilan analisis data telah menjadi aspek penting dalam pengambilan keputusan strategis di bidang ekonomi dan bisnis modern. Namun, hanya sebagian kecil orang yang menguasai keterampilan ini. Pelatihan analisis data ini bertujuan untuk meningkatkan kapasitas analitis mahasiswa dan praktisi bisnis dalam menanggapi tantangan pengambilan keputusan berbasis data. Kegiatan ini dilakukan sebagai sesi pelatihan teknis menggunakan pendekatan praktik langsung dengan perangkat lunak statistik STATA. Peserta sasaran meliputi mahasiswa tingkat akhir dan praktisi bisnis yang membutuhkan pemahaman tentang struktur data dan penerapannya dalam studi ekonomi dan bisnis. Hasil evaluasi menunjukkan peningkatan yang signifikan dalam pemahaman konseptual dan keterampilan teknis peserta. Hasil ini berkontribusi pada penguatan kapasitas manajerial dan mendorong pengambilan keputusan berbasis data. Selain itu, program ini mendukung pengembangan keahlian analisis data dan pengembangan sumber daya manusia baik di sektor bisnis maupun pendidikan tinggi.