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IJMST
Published by CV. Abhinaya Indo Group
ISSN : -     EISSN : 30903831     DOI : https://doi.org/10.64021/ijmst
Core Subject : Science,
Computer Science & IT
Indonesian Journal of Modern Science and Technology is an academic Indonesian journal that specializes in a variety of modern research in science and technology relevant to development. The journal is designed as a platform for researchers, academics, and practitioners to share their latest discoveries and innovations in various fields, including artificial intelligence, Internet of Things (IoT), information technology, robotics, electrical, biotechnology, engineering, and environmental technology. With a focus on the application of modern technology in Indonesia, the journal also covers interdisciplinary research that combines technology with social, economic, and environmental sciences.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 2 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2026): January" : 2 Documents clear
Option Pricing with Periodic Volatility : A Modified Black-Scholes Model Using Jacobi Elliptic Functions Obi, Chinwe N.; Osu , Bright O.; Azor, Promise
Indonesian Journal of Modern Science and Technology Vol. 2 No. 1 (2026): January
Publisher : CV. Abhinaya Indo Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64021/

Abstract

In this work, a modified Black-Scholes model for European option pricing is presented, in which the volatility function exhibits a periodic pattern determined by the Jacobi elliptic sine function. This method maintains smoothness and mathematical tractability while capturing organized, oscillatory activity frequently seen in financial markets. We develop the relevant parabolic partial differential equation and confirm regularity and uniform ellipticity criteria to confirm that it is well-posed. The complete model is solved nu- merically using a Crank-Nicolson finite difference method after a formal solution is derived using the Fourier transform under some assumptions. The findings of the simulation show how volatility patterns and option prices are impacted by changes in the elliptic modulus. Specifi- cally, for short-term and at-the-money options, the model produces rippling price surfaces and observable deviations from traditional Black-Scholes pricing. This methodology, which remains rooted in the traditional option pricing model while offering insight into periodic risk dynamics, provides a useful and understandable alternative for stochastic volatility models.
Effects of Natural and Synthetic Preservatives on the Microbial, Physicochemical, and Shelf-Life Characteristics of Dried Beef Under Ambient Storage Conditions Nnenna , Omorordion; C, Wami Princess
Indonesian Journal of Modern Science and Technology Vol. 2 No. 1 (2026): January
Publisher : CV. Abhinaya Indo Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64021/

Abstract

  This study investigated the effects of natural (ginger and garlic) and synthetic (potassium sorbate and sodium nitrite) preservatives on the microbial quality, physicochemical quality, and shelf life of dried beef stored under ambient conditions. Over a 9-day storage period, samples were analyzed for total bacterial counts, coliforms, staphylococcal and fungal counts, moisture content, and total volatile base nitrogen (TVB-N). The results revealed that untreated samples deteriorated rapidly, showing high microbial proliferation (total viable count increasing from 0.00 to 5.5 log CFU/g) and significant biochemical spoilage, with TVB-N rising from 7.25 to 24.60 mg N/100 g. In contrast, treated samples, particularly those preserved with potassium sorbate and sodium nitrite, showed markedly lower microbial counts (3.55 to 5.5 log CFU/g), controlled TVB-N values (6.70 to 15.00 mg N/100 g), and reduced moisture loss (30.40 ± 0.12% to 27.00 ± 0.18%) compared to the control. Microorganisms isolated revealed Bacillus subtilis, Staphylococcus aureus, Escherichia coli, and Pseudomonas aeruginosa as the dominant bacteria, while Aspergillus niger, Saccharomyces cerevisiae, and Candida spp. were the major fungi. Natural preservatives (ginger and garlic) exhibited antimicrobial activity, especially when combined, while synthetic preservatives demonstrated superior inhibitory and stabilizing effects (p < 0.05). Overall, the study concludes that both natural and synthetic preservatives significantly enhanced the safety and shelf life of dried beef, with synthetic treatments proving most effective. Nonetheless, natural preservatives such as ginger and garlic represent promising, health-friendly alternatives that can be optimized for sustainable meat preservation.

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