Rahutomo Mahardiko

Work place: Department of Software Service, Platinumetrix Pte. Ltd, Jakarta, Indonesia

E-mail: rahutomo.mahardiko@gmail.com

Website:

Research Interests: Computer systems and computational processes, Solid Modeling, Network Architecture, Data Structures and Algorithms, Models of Computation

Biography

Rahutomo Mahardiko from Master School of Electrical Engineering and Informatics Bandung Institute of Technology. Currently, he is working as professional and plus doing some serious researches in IS management, Blockchain, Network, Industry Research and Statistical Model.

Author Articles
Forecasting of Indonesian Digital Economy based on Available New Start-up

By Taufik Hidayat Rahutomo Mahardiko Ali Miftakhu Rosyad

DOI: https://doi.org/10.5815/ijieeb.2023.02.02, Pub. Date: 8 Apr. 2023

Since the last 5 years, digital economy is growing steadily in Indonesia. Right now, the digital economy faces some potential problems and Covid-19 pandemic. This paper presents current data of the national Gross Domestic Product (GDP) and other GDPs (billion IDR) and the number of start-up, and predicts near some categories of future GDP and numbers of available new start-up for the next few years. The forecast will use Markov chain analysis. The results indicate that, while there are problems faced by the digital economy industry, the GDP and numbers of start-up are significantly increasing.

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A Model Statistical during Covid-19 Future E-Commerce Revenue for Indonesia Aviation

By Taufik Hidayat Rahutomo Mahardiko Ali Miftakhu Rosyad

DOI: https://doi.org/10.5815/ijieeb.2023.01.05, Pub. Date: 8 Feb. 2023

Until today, Information Technology (IT) has been felt by aviation industry showed by positive growth of operating revenue before Covid-19 pandemic. The pandemic of Covid-19 changes the world especially the aviation industry by slowing down the business transaction. This study presents statistical model on recent e-commerce revenue of aviation, the number of passengers and the IT investments then predicts future of e-commerce revenue, the number of passengers and the IT spending using Neural Networks. This method is useful to predict the future because it follows the time being. The chosen variables are intended whether IT has an impact during the pandemic for passenger generation year by year. The results show that for the next few years, the revenue, the number of passengers and the IT spending are significantly increasing, while there are problems faced in aviation industry because of Covid-19. This model also can be applied for other industry.

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Other Articles