Article Per Year (5 Year)
p-Index From 2021 - 2026
6.342
P-Index
This Author published in this journals
All Journal Palapa: Jurnal Study Keislaman dan Ilmu Pendidikan FONDATIA MANAZHIM Alifmatika: Jurnal Pendidikan dan Pembelajaran Matematika Formosa Journal of Multidisciplinary Research (FJMR) Tsaqofah: Jurnal Penelitian Guru Indonesia ANWARUL: Jurnal Pendidikan dan Dakwah MASALIQ: Jurnal Pendidikan dan Sains ARZUSIN: Jurnal Manajemen dan Pendidikan Dasar Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Journal of Multidisciplinary Science: MIKAILALSYS EDUMALSYS Journal of Research in Education Management Asian Journal of Science, Technology, Engineering, and Art Asian Journal of Early Childhood and Elementary Education Jurnal Pendidikan Matematika Radinka Journal of Science and Systematic Literature Review ALSYSTECH Journal of Education Technology Mikailalsys Journal of Advanced Engineering International Mikailalsys Journal of Mathematics and Statistics International Journal of Education, Management, and Technology International Journal of Humanities, Education, and Social Sciences Sigma&Mu: Journal of Mathematics, Statistics and Data Science Journal of Medical Genetics and Clinical Biology (JMGCB)
Sahani, Suresh Kumar
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

Published : 52 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 52 Documents
Search

 2   3   4   5   6 
Regression Analysis and Forecasting with Regression Model in Economics Kumar, Nand Kishor; Shah, Raj Kumar; Sahani, Suresh Kumar
Mikailalsys Journal of Advanced Engineering International Vol 2 No 2 (2025): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v2i2.5401

Abstract

This work aims to provide a mathematical model that can be applied to prediction and defines this relationship. It helps economists understand how different factors influence economic indicators such as GDP, inflation, unemployment, and market trends. Forecasting using regression models provides valuable insights for policy-making, business strategies, and economic planning.
Business Insights Unveiled: A Journey through Linear Programming Problems Jha, Aditya; Sahani, Suresh Kumar; Jha, Anshuman; Sahani, Kameshwar
Mikailalsys Journal of Mathematics and Statistics Vol 1 No 1 (2023): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v1i1.1948

Abstract

This project delves into the world of linear programming problems (LPP), a powerful optimization technique. It delves into the historical background, key features, fundamental assumptions, and wide-ranging applications of LPP. It also explores two hypothetical case studies: one in investment portfolio optimization and the other in advertisement budget allocation. LPP serves as a guiding light in making strategic investment decisions by maximizing returns and minimizing risks. In the context of advertising, it enables efficient budget allocation to reach the maximum audience and achieve the highest impact within constraints. The project emphasizes how LP simplifies complex decision-making processes, highlighting its practicality and relevance across diverse sectors. In essence, linear programming emerges as an indispensable tool for informed, data-driven decision-making, much like a skilled navigator guiding a ship through challenging waters toward its destination.
Poisson-New Quadratic-Exponential Distribution Sah, Binod Kumar; Sahani, Suresh Kumar
Mikailalsys Journal of Mathematics and Statistics Vol 2 No 2 (2024): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v2i2.2862

Abstract

This proposed distribution is a discrete compound probability distribution with only one parameter. To get this distribution, Poisson distribution has been mixed with the New Quadratic-Exponential distribution of Sah (2022). Hence, it is named as “Poisson-New Quadratic-Exponential Exponential Distribution (PNLED)”. The important statistical characteristics needed to check the validity of this distribution have been derived and clearly explained. To check the validity of the theoretical works of this distribution, while using goodness of fit on some over-dispersed count data, what we have been found that this distribution seems a better alternative of Poisson-Lindley distribution (PLD) of Sankaran (1970), Poisson Mishra distribution (PMD) of Sah (2017) and Poisson-Modified Mishra distribution (PMMD) of Sah and Sahani (2023).
Uses of dynamics of market price functions in products of Nepalese market Sahani, Suresh Kumar; Sarswati Kumari Sah; Aafrin khatun; Kameshwar Sahani
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 3 No. 1 (2025): Radinka Journal of Science and Systematic Literature Review
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v3i1.436

Abstract

In this assignment, we addressed the usage of the dynamics of the market price function in 5 competitive products of the Nepalese market, which are handicrafts, tea and coffee, herbal products, honey, and agricultural products. The purpose of the study is to identify and analyze the market price dynamics of various products traded in the Nepalese market. This research method is entirely based on literature review. The following are the steps that will be taken: identification and search of literature, literature selection, literature analysis and synthesis, and conceptual framework. This article has applied differential equations to find the change in demand and supply due to price fluctuations. This research paper also demonstrates the speed at which the price adjusts towards its equilibrium value. The utilization of the market price dynamics function in the Nepalese market has a critical role. Market players, both producers, traders, and consumers, can use information about market price dynamics to make better decisions regarding production, trade, and consumption.
TOXICOLOGICAL ASSESSMENT OF COPPER SULPHATE ON CHANNA ORIENTALIS AND HETEROPNEUSTES FOSSILIS: LC50 VALUES AND MORTALITY ANALYSIS Prasad, Nayan K.; Shachi, Kumari; Sahani, Suresh Kumar
Journal of Medical Genetics and Clinical Biology Vol. 1 No. 7 (2024): Journal of Medical Genetics and Clinical Biology
Publisher : PT. Antis International Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jmgcb.v1i7.701

Abstract

The adverse effects of heavy metals, particularly copper sulphate, released from industrial effluents on aquatic life are well-documented. In this study, we determined the LC50 values of copper sulphate for two freshwater air-breathing fish species, Channa orientalis (Bloch) and Heteropneustes fossilis (Bloch). The LC50 values for Channa orientalis were determined to be 33 ppm at 24 hours, 32 ppm at 48 hours, 21 ppm at 72 hours, and 7.5 ppm at 96 hours. For Heteropneustes fossilis, the corresponding LC50 values were 15 ppm at 24 hours, 13 ppm at 48 hours, 9.5 ppm at 72 hours, and 5 ppm at 96 hours. We observed a significant increase in mucus secretion at higher concentrations of copper sulphate as compared to lower concentrations. The potential mechanisms of fish mortality under these conditions are also discussed in detail
Biochemical Adaptations to Prolonged Starvation in Freshwater Catfish: Gonadal Glycogen Dynamics Sahani, Suresh Kumar; Prasad, Nayan K.; Shachi, Kumari
Formosa Journal of Multidisciplinary Research Vol. 3 No. 7 (2024): July 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjmr.v3i7.9714

Abstract

Starvation significantly impacts fish species, affecting various organs. This study examines the effect of prolonged starvation on glycogen content in the gonadal tissue of Clarias batrachus, a freshwater catfish. Using a calorimetric method, glycogen levels in gonadal tissues were measured over a 40-day period at 10-day intervals. Results showed a gradual decline in glycogen content, likely due to increased gluconeogenesis and heightened rates of deamination. Male specimens exhibited a more pronounced glycogen depletion compared to females. Initially, the reduction was minimal up to 20 days, followed by a sharp decline, resulting in an 80% reduction by day 40. These findings highlight significant metabolic adaptations in Clarias batrachus during prolonged starvation.
Mathematical Analysis of the Impact of Climate Factors and Agricultural Practices on Rice Yield in Nepal: A Time Series Data Analysis Poudel, Omkar; Kumar, Nand Kishor; Acharya, Pradeep; Sharma, Deep Raj; Sahani, Suresh Kumar
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (2025): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v3i2.5725

Abstract

Rice is a staple food and a crucial element of Nepal’s agrarian economy; however, its yield is significantly affected by climatic factors such as rainfall and temperature, as well as agricultural practices like pesticide use. Understanding these dynamics is essential for sustaining productivity in the face of climate change. This study employs an Autoregressive Distributed Lag (ARDL) model to analyze 33 years of time-series data (1990–2022), focusing on key variables including rice yield, temperature, rainfall, and pesticide use, all derived from secondary data sources. Diagnostic tests confirmed normality (????=0.06), absence of serial correlation (????=0.58), and homoscedasticity (????=0.68), with stability validated through CUSUM and CUSUMSQ tests. The results indicate that temperature has a significant positive long-term impact on rice yield (????=2181.48, ????<0.05), suggesting that moderate warming can enhance productivity. Rainfall exerts a marginal positive effect (????=5.10, ????=0.05), while pesticide use shows a strong correlation with yield (????=17.70, ????<0.01). The Granger Causality Test identifies temperature (????=7.76, ????<0.01) and pesticide use (????=11.25, ????<0.01) as critical predictors of rice yield. These findings demonstrate that while temperature and pesticide use significantly affect rice yield, the impact of rainfall is diminished due to effective irrigation systems. Nevertheless, the heavy reliance on pesticides raises sustainability concerns, underscoring the necessity for integrated pest management and environmental safeguards. This study advocates for the adoption of climate-smart agricultural practices, enhancement of irrigation infrastructure, and promotion of sustainable pesticide management, offering actionable insights for policymakers to devise adaptive strategies that bolster resilience and productivity in Nepal’s rice sector.
Practical Implications of Parabolas Sah, Shivam Kumar; Sahani, Suresh Kumar; Sahani, Kameshwar
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 3 No. 1 (2025): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v3i1.319

Abstract

This project highlights the significance of parabolas in technology, science, and architecture while examining their various everyday uses. Because they can concentrate sound waves at a particular location, parabolic shapes are essential in the construction of satellite dishes, automobile headlights, and flashlights. This project illustrates how mathematics and practical problem-solving structural stability and visual appeal. This project illustrates how mathematics and practical problem solving interact by jamming the uses of parabolas, showing how a straightforward geometric shape can transform technology and enhance everyday life.
G-Calculus in Economic Growth Models: A Mathematical Framework Kumar, Nand Kishor; Sahani, Suresh Kumar
ALSYSTECH Journal of Education Technology Vol 3 No 2 (2025): ALSYSTECH Journal of Education Technology
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsystech.v3i2.5727

Abstract

Economic growth models are essential for understanding the long-term dynamics of economies, yet traditional models often rely on classical differential and integral calculus, which may inadequately represent discrete, nonlinear, or growth-oriented phenomena. This study aims to introduce G-Calculus (Geometric Calculus), an extension of non-Newtonian calculus, as an alternative analytical framework that is particularly effective for modeling multiplicative and exponential growth systems. We present the theoretical underpinnings of G-Calculus and apply it to established economic growth frameworks, such as the Solow model and endogenous growth theory. By utilizing a comparative analysis, we evaluate the performance of G-Calculus in capturing economic dynamics, revealing significant advantages in terms of both accuracy and applicability. The findings indicate that G-Calculus provides a more natural and effective representation of economic growth processes, thereby enhancing the analytical capabilities of economists. This study contributes to the existing literature by offering a novel perspective on economic modeling, suggesting that G-Calculus can be a valuable tool for researchers and policymakers aiming to gain deeper insights into economic development.
Golden Ratio and Fibonacci Quadratic Equation in Business and Finance Kumar, Nand Kishor; Shah, Raj Kumar; Sahani, Suresh Kumar
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 3 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i3.5726

Abstract

The Golden Ratio and Fibonacci quadratic equation provide powerful insights into financial decision-making. From stock market analysis to business growth strategies, these mathematical principles offer practical applications in the financial world. By leveraging it, finance and investors can enhance their forecasting, optimize risk assessment, and improve financial outcomes. The existence of this Fibonacci sequence is not coincidental since it has been properly developed and maintained. There are more possibilities to study the mathematical properties of the Fibonacci numbers in the contemporary mathematics curriculum. Research into Fibonacci numbers facilitates the investigation of the existence of the Fibonacci sequence in God's beautiful essence. In short, God's dominance over humans is illustrated by the Fibonacci numbers and sequence.
Co-Authors Aafrin khatun Acharya, Pradeep Chaudhary, Bhawesh Chaudhary, Sanjana Chaurasiya, Priyanshu Das, Prem Kumar Das, Rakesh Jha, Aditya Jha, Anshuman Jha, Sagar Kameshwar Sahani Karn, Binod Lal Karn, Prashan Karna, S.K. Karna, Santosh Kumar khatun, Aafrin Kumar, Nand Kishor Mahato, Suraj Kumar Mahto, Shyam Kishor Mahto, Shyam Kishore Mandal, D.N. Mandal, Deb Narayan Mandal, Kripa Mandal, Nitesh Mishra, Arjun Kumar Mishra, Rozy Mishra, Sujal Pandit, Jay Kumar Poudel, Omkar Prasad, Kripa Sindhu Prasad, Nayan K. Prasad, Nayan Kumar Purbay, Roshni Regmi, Khem Raj Sah, Aanand Kumar Sah, Aman kumar Sah, Bikky Sah, Binod Kumar Sah, Deepak Kumar Sah, Kiran Kumari Sah, Kishan Kumar Sah, Mukesh Kumar Sah, Narayan Sah, Prince Sah, Rabi Sah, Rajesh Kumar Sah, Sarswati Kumari Sah, Shilpy Sah, Shivam Sah, Shivam Kumar Sahani, Kameshwar Sarswati Kumari Sah Shachi, Kumari Shah, Binod Shah, Praveen Shah, Raj Kumar Sharma, Deep Raj Sharma, Dhiraj Kumar Sharma, Kritika Sharma, Nimy Sharma, Pravesh Sharma, Shivani Shrestha, Sujeena Kumari Singh, Vijay Vir Thakur, Aayush Thakur, Ambika Kumari Thakur, Asmita Thakur, Kritika Kumari Tiwari, S.K. Yadav, Dipendra Prasad Yadav, Dipendsra Prasad