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All Journal IJIIS: International Journal of Informatics and Information Systems Mechanical Engineering for Society and Industry
Bambang Pujiarto
Universitas Muhammadiyah Magelang, Indonesia
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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With topological data analysis, predicting stock market crashes Nugroho Agung Prabowo; R Arri Widyanto; Mukhtar Hanafi; Bambang Pujiarto; Meidar Hadi Avizenna
International Journal of Informatics and Information Systems Vol 4, No 1: March 2021
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v4i1.78

Abstract

We are investigating the evolution of four big US stock market indexes' regular returns after the 2000 technology crash and the 2007-2009 financial crisis. Our approach is based on topological data processing (TDA). To identify and measure topological phenomena occurring in multidimensional time series, we use persistence homology. We obtain time-dependent point cloud data sets using a sliding window, which we connect a topological space for. Our research indicates that a new method of econometric analysis is offered by TDA, which complements the traditional statistical tests. The tool may be used to predict early warning signs of market declines that are inevitable.
Optimizing energy harvesting from waste motor oil through steam reforming: A path to efficient combustion and emissions reduction Budi Waluyo; Bambang Pujiarto; Nofa Ardana; An’nisa Solihah; Muhammad Latifur Rochman; Ahmad Tresno Adi
Mechanical Engineering for Society and Industry Vol 3 No 2 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.10362

Abstract

Waste Motor Oil (WMO) is a hazardous waste material with the potential to contaminate water, soil, and the atmosphere. The management and engineering of WMO have become imperative in modern society for both resource utilization and environmental protection. Maximizing the energy content of WMO poses a significant challenge for researchers, to solve environmentally friendly solutions. Direct combustion of WMO often results in incomplete combustion and elevated CO emissions. Therefore, this research aims to optimize the harnessing of WMO's energy potential through a furnace equipped with steam injection. The steam is generated by utilizing the heat energy produced during the WMO heating process. Our study demonstrates that steam injection in the WMO furnace is an effective method for maximizing energy content while simultaneously reducing CO emissions.
Co-Authors Ahmad Tresno Adi An’nisa Solihah Budi Waluyo Meidar Hadi Avizenna Muhammad Latifur Rochman Mukhtar Hanafi Nofa Ardana Nugroho Agung Prabowo R Arri Widyanto