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All Journal Journal of Applied Science, Engineering, Technology, and Education Journal Evaluation in Education (JEE)
Sarkar, Tushar
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences Other

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COVID-19 cases prediction using regression and novel SSM model for non-converged countries Patil, Rupali; Patel, Umang; Sarkar, Tushar
Journal of Applied Science, Engineering, Technology, and Education Vol. 3 No. 1 (2021)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.292 KB) | DOI: 10.35877/454RI.asci137

Abstract

Anticipating the quantity of new associated or affirmed cases with novel coronavirus ailment 2019 (COVID-19) is critical in the counteraction and control of the COVID-19 flare-up. The new associated cases with COVID-19 information were gathered from 20 January 2020 to 21 July 2020. We filtered out the countries which are converging and used those for training the network. We utilized the SARIMAX, Linear regression model to anticipate new suspected COVID-19 cases for the countries which did not converge yet. We predict the curve of non-converged countries with the help of proposed Statistical SARIMAX model (SSM). We present new information investigation-based forecast results that can assist governments with planning their future activities and help clinical administrations to be more ready for what's to come. Our framework can foresee peak corona cases with an R-Squared value of 0.986 utilizing linear regression and fall of this pandemic at various levels for countries like India, US, and Brazil. We found that considering more countries for training degrades the prediction process as constraints vary from nation to nation. Thus, we expect that the outcomes referenced in this work will help individuals to better understand the possibilities of this pandemic.
Evaluation of Visitor Responses to Lake Sipin Tourism Services Ramadhan, Gusti; Sukhragchaa, Amarjargal; Sarkar, Tushar
Journal Evaluation in Education (JEE) Vol 4 No 4 (2023): October
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jee.v4i4.949

Abstract

Purpose of the study: The aim of this research is to explore visitors' experiences and perceptions of Lake Sipin water tourism in Jambi and identify the factors that influence their satisfaction, with the hope of providing deeper insight into the potential and challenges in managing similar natural tourism destinations in the future. Methodology: This research method adopts a naturalistic qualitative approach with data collection techniques in the form of interviews and documentation. The research population was tourist visitors who visited Lake Sipin in Jambi, with a sample selected purposively to cover diversity of visitor characteristics. The data collected was analyzed thematically to identify themes that emerged from the interview transcriptions and documentary material. Main Findings: The main results of the research show that visitors' experiences of Lake Sipin water tourism in Jambi are influenced by several key factors, including natural beauty, interaction with the local environment, quality of facilities, and cultural diversity. Visitors stated that environmental cleanliness and safety were their main concerns, while interaction with local residents and participation in local cultural activities added value to their tourism experience. Novelty/Originality of this study: The novelty of this research lies in its in-depth approach to the visitor experience at Lake Sipin, which not only explores the physical aspects of the destination, but also explores social, cultural and environmental interactions in understanding the dynamics of water tourism in Jambi and a valuable contribution in enriching the literature on natural tourism in Indonesia
Co-Authors Patel, Umang Patil, Rupali Ramadhan, Gusti Sukhragchaa, Amarjargal