Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal International Journal of Global Operations Research International Journal of Quantitative Research and Modeling
Setyapamungkas, Febriaputra
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Mathematics Physics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
CALCULATION OF RICE COMMODITY AGRICULTURAL INSURANCE PREMIUM PRICES BASED ON RAINFALL INDEX USING THE BLACK-SCHOLES METHOD Setyapamungkas, Febriaputra; Gymnastiar, Muhammad
International Journal of Global Operations Research Vol. 5 No. 2 (2024): International Journal of Global Operations Research (IJGOR)m May 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i2.307

Abstract

This study applies the Black-Scholes method to calculate rice commodity insurance premiums based on rainfall indexes. By considering rainfall fluctuations as the primary risk in rice production, the Black-Scholes method provides a more accurate and efficient estimation of insurance premiums. The research involves historical rainfall data collection and statistical analysis, resulting in realistic premium pricing. This innovative approach enhances risk management and sustainability in the rice commodity sector, benefiting stakeholders such as insurance companies and farmers. Future research should explore additional factors, including agricultural technology and government policies, for further refinement of premium calculation models.
Bankruptcy Risk Evaluation of Indonesian Coal Mining Companies Using the Zmijewski and Taffler Models Setyapamungkas, Febriaputra; Hendrawan, Timothy Julian
International Journal of Quantitative Research and Modeling Vol. 6 No. 4 (2025): International Journal of Quantitative Research and Modeling (IJQRM)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i4.1115

Abstract

The coal mining industry plays a vital role in Indonesia’s economy through export activities and domestic energy supply. However, it faces high risks due to fluctuations in commodity prices and global policy changes. This study aims to analyze the bankruptcy risk of coal mining companies in Indonesia using the Zmijewski and Taffler prediction models. The research employs a quantitative approach utilizing secondary data from the financial statements of coal mining companies listed on the Indonesia Stock Exchange. The findings are expected to provide a comparison of the accuracy and consistency of both models in predicting bankruptcy risk, as well as serve as a reference for stakeholders in assessing the financial stability of the coal mining sector. Keywords: bankruptcy risk, coal mining, Zmijewski model, Taffler model.
Co-Authors Gymnastiar, Muhammad Hendrawan, Timothy Julian