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Traveling preferences in Madhya Pradesh post COVID-19 Kishnani, Namrata; Sharma, Vivek
Journal of Enterprise and Development (JED) Vol. 5 No. 2 (2023): Journal of Enterprise and Development (JED)
Publisher : Faculty of Islamic Economics and Business of Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/jed.v5i2.6899

Purpose — Travelling preferences and expectations play a dominant role in influencing tourists’ decision-making and choice of destination. Tourism sector is undergoing recovery from COVID-19, showing strong signs of change with the surge in domestic tourism in the Indian state of Madhya Pradesh. People’s priorities and expectations post-COVID-19 are going through continuous reformations under several socioeconomic and psychological makeup. Therefore, the research is conducted with the prerogative of understanding the traveling preferences of tourists post-COVID-19 towards the choice of tourism products.Method — The research follows a descriptive cum explanatory research design to study tourism prospects in Madhya Pradesh, known as Tiger state of India, which is popular for wilderness indigenous or heritage tourism. The data is collected through close-ended questionnaire from prominent tourist locations of Madhya Pradesh during 3-4 months of peak season and analyzed through descriptive statistics. Result — The study reflects the expectations of tourists concerning factors such as safety, hygiene, public works, quality of services, etc which affect their decision for choosing a destination and likelihood areas of expenditure.Contribution — The study is a unique account of research work on prospects of domestic tourism in Madhya Pradesh post-COVID-19. It fills the existing gap in the literature and will be facilitative for further studies and marketers alike for bringing resilience to the sector, understanding tourist’s preferences after any health or national emergencies.

Traveling preferences in Madhya Pradesh post COVID-19 Kishnani, Namrata; Sharma, Vivek
Journal of Enterprise and Development (JED) Vol. 5 No. 2 (2023): Journal of Enterprise and Development (JED)
Publisher : Faculty of Islamic Economics and Business of Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/jed.v5i2.6899

Purpose — Travelling preferences and expectations play a dominant role in influencing tourists’ decision-making and choice of destination. Tourism sector is undergoing recovery from COVID-19, showing strong signs of change with the surge in domestic tourism in the Indian state of Madhya Pradesh. People’s priorities and expectations post-COVID-19 are going through continuous reformations under several socioeconomic and psychological makeup. Therefore, the research is conducted with the prerogative of understanding the traveling preferences of tourists post-COVID-19 towards the choice of tourism products.Method — The research follows a descriptive cum explanatory research design to study tourism prospects in Madhya Pradesh, known as Tiger state of India, which is popular for wilderness indigenous or heritage tourism. The data is collected through close-ended questionnaire from prominent tourist locations of Madhya Pradesh during 3-4 months of peak season and analyzed through descriptive statistics. Result — The study reflects the expectations of tourists concerning factors such as safety, hygiene, public works, quality of services, etc which affect their decision for choosing a destination and likelihood areas of expenditure.Contribution — The study is a unique account of research work on prospects of domestic tourism in Madhya Pradesh post-COVID-19. It fills the existing gap in the literature and will be facilitative for further studies and marketers alike for bringing resilience to the sector, understanding tourist’s preferences after any health or national emergencies.

Naïve Bayes-Based Intelligent Model For Identification and Analysis of Learners' Intelligence Potential Jumarlis, Mila; Mirfan, Mirfan; Suardi M; Sharma, Vivek; R Mudalim, Nurhasana
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 1 (2025): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v15i1.109

Academic achievement, especially report card scores, is frequently the only factor used to evaluate a student's intelligence in education, ignoring other aspects, including kinesthetic, musical, interpersonal, and intrapersonal intelligence. This traditional method limits opportunities for students whose abilities are outside of typical academic disciplines, marginalizing them. In order to close this gap, the current work is to: (1) develop a decision support system (DSS) that uses the Naïve Bayes approach to determine students' intelligence potential; and (2) integrate the method into the DSS to accomplish rigorous and precise identification. Using PHP and a MySQL database, the system was created utilizing the Unified Modeling Language (UML), which included use case, activity, sequence, and class diagrams. Because of its track record of handling labeled data and producing highly accurate probabilistic predictions, Naïve Bayes was chosen. To capture all of the learner characteristics, information was gathered through interviews and observation. Based on the results, the suggested method successfully recognizes various forms of intelligence and offers tailored learning suggestions that are in line with each student's abilities. The objective, effective, and data-driven approach to intelligence identification provided by this study helps educators create more inclusive and talent-oriented teaching methods. Ultimately, the model fortifies the paradigm of holistic education by guaranteeing that teaching practices are enriched by the recognition, cultivation, and integration of a variety of intelligences.

Implementing Regtech for Fintech Startup: A Solution to Overregulation in Developing Countries Sharma, Vivek
Start-up and Financial Technology Vol. 2 No. 1 (2026)
Publisher : Generate Digital Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70764/gdpu-sft.2026.2(1)-01

Objective: This study aims to comprehensively analyze how the implementation of Regulatory Technology (RegTech) can be a strategic solution in overcoming the challenges of overregulation faced by FinTech startups in developing countries, which often hinder innovation and financial inclusion. Research Design & Methods: This study adopts a qualitative approach, with the primary method being an extensive literature review of scientific journal articles, industry reports, and other relevant publications. Furthermore, it utilizes comparative case studies from various developing countries. Findings: The research findings show that overregulation of FinTech startups in developing countries manifests itself in rigid licensing regimes, high capital requirements, overlapping oversight, high compliance costs, and data privacy and cybersecurity issues. RegTech, with its compliance automation, predictive risk management, streamlined regulatory reporting, and enhanced KYC/AML capabilities powered by AI, ML, big data, cloud computing, and blockchain, has been shown to significantly improve operational efficiency, reduce compliance costs, increase accuracy, and offer scalability and adaptability to regulatory changes. Case studies confirm RegTech's positive impact in combating financial crime and driving innovation. Implications: This research confirms that RegTech plays a strategic role in driving FinTech growth, with policy implications including adaptive regulations, cross-sector collaboration, harmonization of standards, and investment in infrastructure and human resource development.Contribution & Value Added: This research presents an in-depth analysis of the role of RegTech in addressing overregulation in developing countries, and offers practical policy recommendations to support a healthy and inclusive FinTech ecosystem.

Deep convolutional network based real time fatigue detection and drowsiness alertness system Sharma, Vijay Prakash; Yadav, Jitendra Singh; Sharma, Vivek
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5493-5500

Fatigue and drowsiness detection techniques based on the external features are under progress, and the methods of facial feature extraction require further development. This paper discusses the innovative processes, efficient methods, and recent advancements in the field of drowsiness and fatigue detection. In this proposed model, a wide application is planned in the field of artificial intelligence by defining the fundamentals of human-computer interaction, facial expression recognition and driver fatigue-sleepiness determination. This research outlines an efficient and effective three-phase strategy for detecting drowsiness. Viola Jones is used to detect facial traits in these three phases. Detection of yawning and tracking once the face has been identified, the segmenting the skin, the system becomes lighting invariant portion by itself, focusing on the chromatic components based on skin, and to reject most of non-face image backdrops. The color eye tracking and yawning detection are carried out by template matching with the correlation coefficient. The vectors of features based on each of the above phases is concatenated, and a binary result is obtained. The analysis of sound and successive frames into fatigue and non-fatigue states has been classified. If the time in fatigue state exceeds the threshold, the system will sound an alarm.

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