Calorie Tracking: A Mobile Application for Tracking Eating Patterns and Intake

Authors

  • Nyoman Ayu Gita Gayatri Universitas Bina Nusantara
  • Juan Xavier Soegiarto Bina Nusantara University
  • Philips Sanjaya Bina Nusantara University
  • Vincent Tanujaya Bina Nusantara University
  • Nicholas Diporedjo Bina Nusantara University
  • Aaron Medhavi Kusnandar Bina Nusantara University
  • Justin Tjokro Bina Nusantara University
  • Yulyanty Chandra Bina Nusantara University

DOI:

https://doi.org/10.21512/emacsjournal.v6i1.11193

Keywords:

Eating Scheme, Calorie Intake, Human and Computer Interaction, Prototype

Abstract

A balanced regular calorie intake along with a good eating rules is an important factor to fullfill a healthy lifestyle and diet. Both are the main keys to preventing non-communicable diseases (NCDs) which are the largest contributors to world deaths. The effects produced through dietary regulation and calorie intake ideally will affect to the long term, so that consistency and adequate supporting media are needed. Judging from the time scale, action is needed since in, Early action is needed, especially for students who are in the transition period to maturity and independence. Technological developments in the digital era can be used to produce problem solutions ranging from fundamental aspects. Students themselves are familiar with the concept of the calorie tracker application (Craker) even though the majority have never used it. The purpose of this paper is to design the Craker application as a form of solution to regulate diet and calorie intake by applying the theory of human and computer interaction. The result of making this application is to monitor the number of calories consumed by knowing the number of calories in and out so that it is balanced according to the recommendations given based on the user’s profile, for the calorie tracker application we can divide it into three types of calorie tracker applications: web, mobile, and physical.

Dimensions

Plum Analytics

Author Biographies

Juan Xavier Soegiarto, Bina Nusantara University

Computer Science Department, School of Computer Science

Philips Sanjaya, Bina Nusantara University

Computer Science Department, School of Computer Science

Vincent Tanujaya, Bina Nusantara University

Computer Science Department, School of Computer Science

Nicholas Diporedjo, Bina Nusantara University

Computer Science Department, School of Computer Science

Aaron Medhavi Kusnandar, Bina Nusantara University

Computer Science Department, School of Computer Science

Justin Tjokro, Bina Nusantara University

Computer Science Department, School of Computer Science

Yulyanty Chandra, Bina Nusantara University

Information Systems Study Program, School of Information System

References

Baequny, A., Harnany, A. S., & Rumimper, E. (2015). Pengaruh Pola Makan Tinggi Kalori terhadap Peningkatan Kadar Gula Darah pada Penderita Diabetes Mellitus Tipe 2. Jurnal Riset Kesehatan, 4(1), 687–692.

Boyle, M. A., & Long, S. R. (2010). Personal Nutrition USA. Wadworth Printed Access Code.

Budreviciute, A., Damiati, S., Sabir, D. K., Onder, K., Schuller-Goetzburg, P., Plakys, G., Katileviciute, A., Khoja, S., & Kodzius, R. (2020). Management and prevention strategies for non-communicable diseases (NCDs) and their risk factors. Frontiers in Public Health, 8, 788.

Dennis, A., Wixom, B., & Tegarden, D. (2015). Systems analysis and design: An object-oriented approach with UML. John wiley & sons.

Gadient, P., Ghafari, M., Tarnutzer, M.-A., & Nierstrasz, O. (2020). Web apis in android through the lens of security. 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER), 13–22.

Graham, D., Veenendaal, E. van, Evans, I., & Black, R. (2008). Foundations of software testing: ISTQB certification. Intl Thomson Business Pr.

Hunt, J., & McManus, A. G. (2013). Key Java: advanced tips and techniques. Springer Science & Business Media.

Jia, J., & Le, H. (2020). The design and implementation of a computerized adaptive testing system for school mathematics based on item response theory. Technology in Education. Innovations for Online Teaching and Learning: 5th International Conference, ICTE 2020, Macau, China, August 19-22, 2020, Revised Selected Papers 5, 100–111.

Koç, H., Erdoğan, A. M., Barjakly, Y., & Peker, S. (2021). UML diagrams in software engineering research: a systematic literature review. Proceedings, 74(1), 13.

Kumar, N., Lopez, C., Caldeira, C. M., Pethe, S., Si, B., & Kobsa, A. (2016). CalNag: effortless multiuser calorie tracking. 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 1–4.

Kurniawati, Y., Fakhriadi, R., & Yulidasari, F. (2016). Hubungan antara pola makan, asupan energi, aktivitas fisik, dan durasi tidur dengan kejadian obesitas pada polisi. Jurnal Publikasi Kesehatan Masyarakat Indonesia, 3(3).

Mos, A., & Chowdhury, M. M. (2020). Mobile security: A look into android. 2020 IEEE International Conference on Electro Information Technology (EIT), 638–642.

Munthe, I. R., Rambe, B. H., Pane, R., Irmayani, D., & Nasution, M. (2020). UML Modeling and Black Box Testing Methods in the School Payment Information System. Jurnal Mantik, 4(3), 1634–1640.

Pressman, R. S. (2005). Software engineering: a practitioner’s approach. Palgrave macmillan.

Rani, M., Ardiansyah, R., Kurniawan, M. A., & Christy, T. (2022). APPLICATION OF EXPERT SYSTEM (FORWARD CHAINING METHOD) IN DIAGNOSIS OF PRINTER FAILURE. JOURNAL OF DYNAMICS (International Journal of Dynamics in Engineering and Sciences), 17(2), 172–177.

Senarath, U. S. (2021). Waterfall methodology, prototyping and agile development. Tech. Rep., 1–16.

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Published

2024-01-31

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