Hanoeboen, Bin Raudha Arif
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Forecasting Macroeconomic Variables and their Effect on Poverty Assel, Muhammad Ridhwan; Hanoeboen, Bin Raudha Arif; Laitupa, Abdul Aziz; Saptenno, Fibryano
Journal of Economics, Business, and Accountancy Ventura Vol. 25 No. 3 (2022): December 2022 - March 2023
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v25i3.3451

Abstract

Forecasting macroeconomic variables is crucial to measure dynamic changes during uncertain economic conditions. This study examines and analyzes the appropriate and accurate forecasting model to predict macroeconomic variables in Maluku Province. The main variables used are economic growth, unemployment, inflation, and poverty. The modeling used in this study were Bayesian Vector Autoregressions Model and the Univariate Benchmark Model. The results of this study indicate that the two models have different specifications and forecasting directions. The value of the Univariate Benchmark model’s forecast error size is relatively smaller than that of the Bayesian Vector Autoregressions Model. The results of forecasting macroeconomic variables in Maluku Province have a relatively good level of accuracy and are close to the actual value of the sample period. The Error Correction Model test results show that only the Error Correction Term variable significantly affects the poverty level in the short term. Meanwhile, in the long term, the unemployment rate has a significant effect, and the model used is proven valid. The forecasting results from the model show that the Maluku provincial government must maintain the stability of macroeconomic variables, especially the inflation rate and unemploymentrate, because they tend to increase in the coming year. It can have an impact on reducing people’s purchasing power.
Determinan sosial ekonomi kesenjangan distribusi Pendapatan penduduk di Kawasan Timur Indonesia Amaluddin, Amaluddin; Hanoeboen, Bin Raudha Arif; Ramly, Amin
Jurnal Paradigma Ekonomika Vol. 15 No. 1 (2020): Jurnal Paradigma Ekonomika
Publisher : Program Studi Ekonomi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jpe.v15i1.9218

Abstract

Inequality of income distribution and its determinants still leaves mixed debate and empirical findings. The source of inequality in population income distribution is in Eastern Indonesia (KTI) in line with the economic development performance that is still low compared to Western Indonesia (KBI). This study aims to examine the socio-economic factors that influence the income distribution gap in KTI, with a focus on economic growth, employment opportunities, farmer exchange rates, regional minimum wages, and education. Quantitative analysis tools used are panel data regression models with fixed effect model estimation techniques. The data used is panel data of 12 provinces in Eastern Indonesia, for the period 2010-2017. The results showed that both partially and simultaneously economic growth, employment opportunities, farmer exchange rates, and education levels contributed significantly to reducing the income distribution gap. The recommendation for regional governments is to accelerate economic growth accompanied by the expansion of employment opportunities and education development equally, and also the optimization of agricultural sector development.
ANALYZING FACTORS AFFECTING INDONESIA'S FOREIGN EXCHANGE RESERVES FOR THE 2012-2021 PERIOD Ruslan, Nining Ruslan; Leasiwal, Teddy Christianto; Louhenapessy, Desry J.; Hanoeboen, Bin Raudha Arif; Sapteno, Fibryano; Laitupa, Abdul Aziz
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 8, No 4 (2024): IJEBAR, VOL. 08 ISSUE 04, DECEMBER 2024
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v8i4.15323

Abstract

This research analyzes the effect of exchange rates, exports, and imports on Indonesia's foreign exchange reserves in the 2012-2021 period. The independent variables in this study are exchange rates, exports, and imports, while the dependent variables are Indonesia's foreign exchange reserves. The data used in this study was obtained from the official websites of the Central Statistics Agency (BPS), Bank Indonesia, and Worldbank in 2023. The data analysis method used is the Vector Error Correction Model (VECM) which is a derivative of Vector Autoregression (VAR) analysis. The data collection technique used is secondary data with quantitative research type. The results of the VECM analysis show that the exchange rate (exchange rate) has a significant effect on Indonesia's foreign exchange reserves, exports have a significant positive influence in the long run on foreign exchange reserves, while imports have a significant effect on foreign exchange reserves. Therefore, it can be concluded that international trade has a significant influence on Indonesia's foreign exchange reserves, and exchange rates, exports, and imports are important factors affecting Indonesia's foreign exchange reserves. Keywords: Exchange Rate, Export, Import, Foreign Exchange Reserves
ANALYZING FACTORS AFFECTING INDONESIA'S FOREIGN EXCHANGE RESERVES FOR THE 2012-2021 PERIOD Ruslan, Nining Ruslan; Leasiwal, Teddy Christianto; Louhenapessy, Desry J.; Hanoeboen, Bin Raudha Arif; Sapteno, Fibryano; Laitupa, Abdul Aziz
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 8 No 4 (2024): IJEBAR, VOL. 08 ISSUE 04, DECEMBER 2024
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v8i4.15323

Abstract

This research analyzes the effect of exchange rates, exports, and imports on Indonesia's foreign exchange reserves in the 2012-2021 period. The independent variables in this study are exchange rates, exports, and imports, while the dependent variables are Indonesia's foreign exchange reserves. The data used in this study was obtained from the official websites of the Central Statistics Agency (BPS), Bank Indonesia, and Worldbank in 2023. The data analysis method used is the Vector Error Correction Model (VECM) which is a derivative of Vector Autoregression (VAR) analysis. The data collection technique used is secondary data with quantitative research type. The results of the VECM analysis show that the exchange rate (exchange rate) has a significant effect on Indonesia's foreign exchange reserves, exports have a significant positive influence in the long run on foreign exchange reserves, while imports have a significant effect on foreign exchange reserves. Therefore, it can be concluded that international trade has a significant influence on Indonesia's foreign exchange reserves, and exchange rates, exports, and imports are important factors affecting Indonesia's foreign exchange reserves. Keywords: Exchange Rate, Export, Import, Foreign Exchange Reserves
Synergizing Digital Transformation and Human Capital: Pathways to Competitive Advantage and Sustainable Growth Hanoeboen, Bin Raudha Arif; Kurniawan, Sabda Aji; Ningsih, Nadya Nurlailya; Yusuf T, Glen Andre
Economics, Business, Accounting & Society Review Vol. 4 No. 3 (2025): Economics, Business, Accounting & Society Review
Publisher : International Ecsis Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55980/ebasr.v4i3.268

Abstract

In the era of digital economy acceleration, micro, small, and medium enterprises (MSMEs) face increasing pressure to sustain competitiveness amid dynamic technological and market transformations. For culinary MSMEs in Ambon, digital transformation and human capital quality have become decisive factors in ensuring business resilience and sustainable growth. This study aims to examine the effects of digital transformation and human resource quality on competitive advantage and MSME competitiveness, and their subsequent implications for sustainable economic growth. It also seeks to identify the mediating role of competitive advantage in linking organizational capabilities with long-term sustainability outcomes. A quantitative explanatory approach was employed using data from 63 culinary MSME owners collected through structured questionnaires and analyzed with Partial Least Squares (SmartPLS 4.0). The results demonstrate that digital transformation significantly enhances competitive advantage through efficiency optimization and innovation, while human resource quality serves as a complementary strategic driver. Competitive advantage strongly influences MSME competitiveness, which subsequently contributes to inclusive and sustainable economic growth. The findings underscore that integrating digital technology with skilled human resources is essential for strengthening MSME competitiveness and regional economic resilience. Theoretically, this study extends the Resource-Based View by positioning digital transformation and human capital as synergistic capabilities. Practically, it provides actionable insights for policymakers and business stakeholders to design digital training programs and ecosystem support for MSMEs’ sustainable advancement.