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001-es BibID:	BIBFORM133167
Első szerző:	Gashi Njomza (Food Scientist)
Cím:	Analyzing the health perceptions and consumption patterns of pre-cooked noodles / Njomza Gashi, Besjana Elezaj, Dejsi Qorri, Salih Salihu
Dátum:	2025
Megjegyzések:	This study explores consumer attitudes towards pre-cooked noodle consumption and its perceived health implications. A comprehensive survey was conducted with 400 participants, representing a diverse range of age groups, educational backgrounds, and family sizes across different regions of Kosovo. The primary aim of the research was to assess the relationship between noodle consumption habits and various health concerns, with a particular focus on issues such as the high sodium content, the presence of preservatives, and the potential for weight gain associated with frequent consumption. By analyzing demographic variables alongside consumption patterns, this study sought to gain a deeper understanding of how health perceptions influence consumer choices in the context of pre-cooked noodle consumption. A total of 400 questionnaires were distributed, gathering data on demographic characteristics, consumption frequency, and health-related perceptions. The results indicate that convenience plays a major role in pre-cooked noodle consumption, with 56.8% of respondents citing time constraints as the primary reason for their choice. Despite the convenience, health concerns were prevalent, with a significant number of respondents expressing worries about high sodium content and additives. Furthermore, a majority of participants reported no existing health issues, though many were aware of potential risks, especially in relation to weight gain and high sodium intake. These findings suggest that while pre-cooked noodles are popular due to their convenience, health concerns remain a significant factor influencing consumer behavior. This study highlights a need for healthier alternatives in the market to address these concerns.
Tárgyszavak:	Agrártudományok Élelmiszertudományok előadáskivonat könyvrészlet noodles consumption patterns health perceptions additives
Megjelenés:	The 6th International Electronic Conference on Foods Future Horizons in Foods and Sustainability. - Basel : MDPI, 2025. -
További szerzők:	Elezaj, Besjana Qorri, Dejsi (1998-) (PhD Hallgató) Salihu, Salih
Pályázati támogatás:	Other Egyéb
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM125162
Első szerző:	Qorri, Dejsi (PhD Hallgató)
Cím:	Data-Driven Solution Using Waterfall Model for Farm Data Management in Albania / Qorri Dejsi, Gjermeni Irida, Felföldi János, Tsogtdelger Maral, Mufti Tahir Niyaz, Gashi Njomza, Kovács Krisztián
Dátum:	2024
Megjegyzések:	XX Agricultural Science Days Beyond Tiszántó, (2024)(Debrecen) Agricultural sector remain the main contributor in the GDP of Albania, offering opportunities for local and regional development. Despite this, the agricultural businesses are not taking advantage of big data generated from their farm activities and processes. As such, the objective of our study was to propose a solution for data management with functions of gathering, analyzing, and visualization that can improve the performance of small-medium farms in Albania. The methodology used in our study was the traditional software engineering waterfall methodology which includes the stages of planning, design, development, testing, and deployment. In addition, this study offers a strategic approach that integrates the data management in farm management, emphasizing the importance of sales and purchase data in monitoring and optimizing farm efficiency and effectiveness with practical approach. The UML (unified modeling language) use case diagram was employed to illustrate the interaction between business process and farm management activities. In addition, the C# programming language and ASP.NET framework along with SQL (structured query language) are used to implement functions above mentioned belonging to the design and development steps in the waterfall model. Furthermore, to achieve an efficient and functional management system we conducted a comprehensive SWOT in-depth analysis using quantitative and qualitative variables related to innovation, education, and labor market, drawing on data from Institute of Statistics of Albania, World Bank, and various Empirical studies. The findings suggest that implementing data-driven solutions can enhance the effectiveness of small-medium size farms in Albania. Additionally, the study identifies the opportunities and challenges associated with implementing data-driven solutions to optimize farm management in Albania.
Tárgyszavak:	Társadalomtudományok Gazdálkodás- és szervezéstudományok nem besorolt egyéb data-driven solution farm management sales and purchases C# programming waterfall model
További szerzők:	Irida Gjermeni (1985-) (Lecturer) Tsogtdelger Maral (2003-) (Chemical engineer student) Felföldi János (1968-2024) (mérnök-közgazdász) Mufti Tahir Niyaz (1998-) (Human Resources Management) Gashi Njomza (2001-) (Food Scientist) Kovács Krisztián (1981-) (okleveles gazdasági agrármérnök)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
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