Improving Culinary Informatics through Meaningful Social Web Engineering

Main Article Content

Suraya Nurain Kalid
Fahmi Mikail Fahrid
Sin-Ban Ho

Abstract

This paper gives a good reflection about social web engineering aspirations to ardently see the truth to enlighten culinary concentration and wisdom. With the compassionate path to discover food and engage customers to share content with loving kindness spread to every corner. There are so many features realized, which include direct interfaces through intuitive interfaces to lead the daily food streamlining. May one engaged with constructive creation to grow compassions in every culinary living sharing. Contentment would develop in our heart involved in different phases put forward in this paper. The initial phase begins with honesty in planning and design. Next, the right livelihood of background study brings about requirements definition. This cast out diligently the interactive user conceptualization to arouse wholesome of good and wise design diagrams. With this, the users can reach the goal of registering and establishing profiles. This practice leads to steady mindful culinary owners as well as food enthusiasts. Watching the different choices in food, this social web engineering model delves to equanimity and attention to seek the right locality of certain cuisines. In addition, the model takes the opportunities for the effort to share fine speech with ratings and photos uploaded to assist in deciding dining choices. The peaceful location, especially with good healthy promotions, would help the culinary businesses to start the presentation of menu and events from the beginning. This research moves on to unlock the healthy choice filled with exploratory hats to make every day fantastic learning adventures to ready and learn social engineering guidance. In conclusion, the mobile mechanism can help to present important pieces of advice to learn and practice useful culinary informatics.

Article Details

How to Cite
Kalid, S. N., Fahrid, F. M., & Ho, S.-B. (2025). Improving Culinary Informatics through Meaningful Social Web Engineering. Journal of Informatics and Web Engineering, 4(2), 1–17. https://doi.org/10.33093/jiwe.2025.4.2.1
Section
Regular issue

References

G. Mainolfi, V. Marino, and R. Resciniti, “Not just food: Exploring the influence of food blog engagement on intention to taste and to visit,” British Food Journal, vol. 124, no. 2, pp. 430–461, Oct. 2021. doi: 10.1108/bfj-04-2021-0400.

X.-X. Cho, S.-B. Ho, and C.-H. Tan, “Improving asthma treatment adherence by integrating weather information with responsive web technique,” AIP Conference Proceedings, vol. 3153, p. 030005, Jan. 2024. doi: 10.1063/5.0216655.

M. E. K. K. Khairi, S.-B. Ho, and C.-H. Tan, “Real-time tracking and category filtering of an automated system for trading cards collections,” AIP Conference Proceedings, vol. 3153, p. 060001, Jan. 2024. doi: 10.1063/5.0216659.

C. M. Chituru, S.-B. Ho, and I. Chai, “Integrating Spatial Computing with Clinical Pathology for Enhanced Diagnosis and Treatment Informatics in Healthcare,” JOIV International Journal on Informatics Visualization, vol. 8, no. 3–2, p.1762, Nov. 2024. doi: 10.62527/joiv.8.3-2.2951.

S. Kalid et al., “Enhancing Personalized Healthcare with an Effective E-Healthcare Management System,” Journal of System and Management Sciences, vol. 14, no. 2, Jan. 2024. doi: 10.33168/jsms.2024.0230.

J.-L. Goh, S.-B. Ho, and C.-H. Tan, “Weather-Based Arthritis Tracking: a mobile mechanism for Preventive strategies,” Journal of Informatics and Web Engineering, vol. 3, no. 1, pp. 210–225, Feb. 2024. doi: 10.33093/jiwe.2024.3.1.14.

S.-B. Ho, E.-Y. Chew, and C.-H. Tan, “Streamlining dental clinic management for effective digitisation productivity and usability,” Journal of Informatics and Web Engineering, vol. 3, no. 2, pp. 70–85, Jun. 2024. doi: 10.33093/jiwe.2023.3.2.5.

W.-X. Ong, S.-B. Ho, and C.-H. Tan, “Enhancing Migraine Management System through Weather Forecasting for a Better Daily Life,” Journal of Informatics and Web Engineering, vol. 2, no. 2, pp. 201–217, Sep. 2023. doi: 10.33093/jiwe.2023.2.2.15.

D. I. Jusuf, “Optimizing SEO (Search engine Optimizing) strategy to increase visibility and achievement of marketing goals,” Lead Journal of Economy and Administration, vol. 2, no. 2, pp. 98–103, Nov. 2023. doi: 10.56403/lejea.v2i2.150.

G. A. Makho, S.-B. Ho, and I. Chai, “Exploring the potential of artificial intelligence in the medical sector for patient well-being: A review,” AIP Conference Proceedings, vol. 3153, p. 030003, Jan. 2024. doi: 10.1063/5.0216651.

K. Toften and T. Hammervoll, “Niche marketing research: status and challenges,” Marketing Intelligence & Planning, vol. 31, no. 3, pp. 272–285, May 2013. doi: 10.1108/02634501311324618.

S. Manalo, “Effectiveness of social media marketing in the restaurant industry,” International Journal of Research Studies in Education, vol. 9, no. 7, Nov. 2020. doi: 10.5861/ijrse.2020.5916.

C. L. N, D. Luna, Ma. C. E, and E. F. A, “Impacts of social media in promoting food products,” International Journal of Tourism and Hospitality, vol. 1, no. S1, p. S27, Dec. 2021. doi: 10.51483/ijth.1.s1.2021.s27-s43.

Y. Joshi, W. M. Lim, K. Jagani, and S. Kumar, “Social media influencer marketing: foundations, trends, and ways forward,” Electronic Commerce Research, Jun. 2023. doi: 10.1007/s10660-023-09719-z.

R. K. J. Yik, S.-B. Ho, and C.-H. Tan, “Improving the prediction resolution time for mobile Eczema support system,” AIP Conference Proceedings, vol. 3153, p. 030007, Jan. 2024. doi: 10.1063/5.0216658.

C.-W. Teoh, S.-B. Ho, K. S. Dollmat, and C.-H. Tan, “Machine Learning Prediction Model for Early Student Academic Performance Evaluation in Video-Based Learning,” International Journal of Membrane Science and Technology, vol. 10, no. 2, pp. 1529–1544, Sep. 2023. doi: 10.15379/ijmst.v10i2.1822.

B. Datta and P. Kaushik, “Brand Awareness through Instagram Advertising,” Asian Journal of Management, vol. 10, no. 2, p. 100, Jan. 2019. doi: 10.5958/2321-5763.2019.00017.9.

B., Handayani, “Foodstragramming of solo dining experiencescape: The fear of missing out,” International Journal on Food System Dynamics, 12(1), pp. 83-94, 2021. doi: https://doi.org/10.18461/ijfsd.v11i5.77

R. Haque, S.-B. Ho, I. Chai, and A. Abdullah, “Improved ADAM-based feedforward deep neural network model for personalized asthma predictions,” Journal of System and Management Sciences, vol. 13, no. 2, Apr. 2023. doi: 10.33168/jsms.2023.0217.

C.-H. Tan, S.-N. Lee, and S.-B. Ho, “Assessing the environmental effects on dengue fever and Malaysian economic growth,” International Journal of Environmental Science and Development, vol. 13, no. 2, pp. 49–56, Jan. 2022. doi: 10.18178/ijesd.2022.13.2.1371.

R. Haque, S.-B. Ho, I. Chai, and A. Abdullah, “Parameter and hyperparameter optimisation of deep neural network model for personalised predictions of asthma,” Journal of Advances in Information Technology, vol. 13, no. 5, Jan. 2022. doi: 10.12720/jait.13.5.512-517.

C.-W. Teoh, S.-B. Ho, S. Khairi, and C.-H. Tan, “Predicting Student Performance from Video-Based Learning System: A Case Study,” Journal of Logistics Informatics and Service Science, Aug. 2022. doi: 10.33168/liss.2022.0306.

C.-W. Teoh, S.-B. Ho, K. S. Dollmat, and C.-H. Tan, “Ensemble-Learning Techniques for Predicting Student performance on Video-Based Learning,” International Journal of Information and Education Technology, vol. 12, no. 8, pp. 741–745, Jan. 2022. doi: 10.18178/ijiet.2022.12.8.1679.

R. Haque, S.-B. Ho, I. Chai, and A. Abdullah, “Optimised deep neural network model to predict asthma exacerbation based on personalised weather triggers,” F1000Research, vol. 10, p. 911, Sep. 2021. doi: 10.12688/f1000research.73026.1.

S. B. Ho, S. L. Chean, I. Chai, and C. H. Tan, “Engineering Meaningful Computing Education: Programming Learning Experience Model,” 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 925–929, Dec. 2019. doi: 10.1109/ieem44572.2019.8978920.

M. Holjevac, and T. Jakopec, “Web application dashboards as a tool for data visualization and enrichment,” 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), IEEE, pp. 1740-1745, September 2020. doi:10.23919/MIPRO48935.2020.9245289

S.B. Ho, I. Chai, and C.H. Tan, “Leveraging framework documentation solutions for intermediate users in knowledge acquisition,” International Journal of Information Science 3(1), pp. 13-23, 2013. doi: 10.12691/ijefm-4-2-3

R. Haque et al., “Intelligent Health Informatics with Personalisation in Weather-Based Healthcare Using Machine Learning,” in Lecture notes on data engineering and communications technologies, 2021, pp. 29–40. doi: 10.1007/978-3-030-70713-2_4.

S. B. Ho, I. Chai, and C. H. Tan, “AN EMPIRICAL INVESTIGATION OF METHODS, FOR TEACHING DESIGN PATTERNS WITHIN, OBJECT-ORIENTED FRAMEWORKS,” International Journal of Information Technology & Decision Making, vol. 06, no. 04, pp. 701–722, Nov. 2007. doi: 10.1142/s021962200700271x.

I. Ibriwesh, S.-B. Ho, I. Chai, and C.-H. Tan, “A controlled experiment on comparison of data perspectives for software requirements documentation,” Arabian Journal for Science and Engineering, vol. 42, no. 8, pp. 3175–3189, Feb. 2017. doi: 10.1007/s13369-017-2425-2.

A. Tahiri, I. Kovaçi, and A. T. Petkoska, “Sustainable tourism as a potential for promotion of regional heritage, local food, traditions, and Diversity—Case of Kosovo,” Sustainability, vol. 14, no. 19, p. 12326, Sep. 2022. doi: 10.3390/su141912326.

T. Zhang, J. Chen, and B. Hu, “Authenticity, quality, and loyalty: local food and sustainable tourism experience,” Sustainability, vol. 11, no. 12, p. 3437, Jun. 2019. doi: 10.3390/su11123437.

J. Fountain, “The future of food tourism in a post-COVID-19 world: insights from New Zealand,” Journal of Tourism Futures, vol. 8, no. 2, pp. 220–233, Jul. 2021. doi: 10.1108/jtf-04-2021-0100.

A. Brombin, G. Mascarello, A. Pinto, S. Crovato, G. Ricaldi, M. Giaretta, and L. Ravarotto, “New ways of spreading food safety online: the role of food bloggers in risk communication,” British Food Journal, 124(3), pp. 775-794, 2022. doi: 10.1108/BFJ-01-2021-0044.

Z.-S. Lim, A. Yulastri, S.-B. Ho, and C.-H. Tan, “Enhancing Travel Planning Efficiency with a Comprehensive TripEase GenAI Mechanism,” International Journal on Advanced Science Engineering and Information Technology, vol. 14, no. 6, pp. 2090–2097, Dec. 2024. doi: 10.18517/ijaseit.14.6.11985.

W.-E. Kong, T.-E. Tai, P. Naveen, and H. A. Santoso, “Performance Evaluation on E-Commerce Recommender System based on KNN, SVD, CoClustering and Ensemble Approaches,” Journal of Informatics and Web Engineering, vol. 3, no. 3, pp. 63–76, Oct. 2024. doi: 10.33093/jiwe.2024.3.3.4.

A. K. A. Razack and M. F. M. Saad, “Enhancing Cybersecurity Awareness through Gamification: Design an Interactive Cybersecurity Learning Platform for Multimedia University Students,” Journal of Informatics and Web Engineering, vol. 3, no. 3, pp. 21–40, Oct. 2024. doi: 10.33093/jiwe.2024.3.3.2.