PENGEMBANGAN SISTEM PAKAR BERBASIS WEB UNTUK DETEKSI DINI OBESITAS MENGGUNAKAN METODE FORWARD CHAINING
Abstract
This study aimed to develop a web-based expert system for early detection of obesity using the Forward Chaining method. The increasing prevalence of obesity necessitated an automatic detection system capable of providing preliminary diagnosis based on anthropometric and lifestyle data. The system was developed using the PHP programming language, MySQL database, and a responsive web interface. The inference process applied the Forward Chaining method to perform rule-based reasoning from user-input facts toward diagnostic conclusions derived from a nutrition expert knowledge base. System testing demonstrated that all functional components operated as intended, while expert validation indicated a diagnostic accuracy rate of 92%. The findings showed that the system provided reliable and transparent preliminary consultation for early obesity detection and was suitable for self-assessment use by the general public. Furthermore, the developed system supported the digital transformation of health services through information technology.
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[2] K. K. R. Indonesia, Laporan Nasional Riset Kesehatan Dasar (Riskesdas) Tahun 2022, Badan Penelitian dan Pengembangan Kesehatan, Kemenkes RI, 2022.
[3] F. Q. Nuttall, "Body mass index: Obesity, BMI, and health," Nutrition Today, vol. 50, no. 3, p. 117–128, 2015.
[4] A. &. H. F. B. Hruby, "The epidemiology of obesity: A big picture," Pharmacoeconomics, vol. 33, no. 7, p. 673–689, 2019.
[5] A. F. M. H. R. M. B. e. a. Afshin, "Health effects of overweight and obesity in 195 countries over 25 years," The New England Journal of Medicine, vol. 377, no. 1, p. 13–27, 2021.
[6] E. H. &. C. J. J. Shortliffe, Biomedical Informatics: Computer Applications in Health Care and Biomedicine (5th ed.), Springer, 2021.
[7] J. &. R. G. Giarratano, Expert Systems: Principles and Programming (6th ed.), Cengage Learning, 2020.
[8] A. S. D. &. N. F. Wibisono, "Pengembangan sistem pakar diagnosis penyakit jantung menggunakan metode Forward Chaining berbasis web," Jurnal Teknologi dan Sistem Komputer, vol. 8, no. 3, p. 215–223, 2020.
[9] L. &. H. T. Rahmawati, "Penerapan metode Certainty Factor pada sistem pakar untuk deteksi dini diabetes melitus," Jurnal Komputer dan Informatika, vol. 9, no. 2, p. 74–82, 2021.
[10] R. P. B. &. W. D. Santoso, "Pengembangan aplikasi berbasis Android untuk identifikasi status gizi menggunakan indeks massa tubuh," Jurnal Teknologi dan Sistem Informasi, vol. 8, no. 4, p. 215–225, 2022.
[11] D. &. L. A. Fitriani, "Rancang bangun sistem pakar berbasis web untuk analisis obesitas anak menggunakan metode Decision Tree," Jurnal Sistem Informasi, vol. 9, no. 2, p. 102–113, 2023.
[12] S. W. F. &. P. I. Nugroho, "Penerapan metode Forward Chaining untuk deteksi obesitas pada remaja berbasis sistem pakar," Jurnal Sains Komputer dan Kesehatan, vol. 10, no. 1, p. 55–63, 2024.
[13] R. S. &. M. B. R. Pressman, Software Engineering: A Practitioner’s Approach (9th ed.), McGraw-Hill Education, 2020.
[14] I. Sommerville, Software Engineering (10th ed.), Pearson Education, 2021.
[15] A. J. M. &. P. A. S. Gheorghe, "Digital health technologies and artificial intelligence in healthcare systems," Health Policy and Technology, vol. 11, no. 2, pp. 100-110, 2022.
[16] S. &. N. P. Russell, Artificial Intelligence: A Modern Approach (4th ed.), Pearson Education, 2021.
[17] T. M. &. N. K. Lakshmi, "Forward chaining-based expert system for disease diagnosis," International Journal of Advanced Computer Science and Applications, vol. 12, no. 5, p. 389–395, 2021.
[18] J. S. D. &. M. L. García, "Rule-based expert systems for medical diagnosis: A review of inference mechanisms and applications," Expert Systems with Applications, vol. 168, pp. 114-125, 2021.
[19] G. J. S. C. &. B. T. Myers, The Art of Software Testing (3rd ed.), Wiley, 2019.
[20] J. C. &. R. G. D. Giarratano, Expert systems: Principles and programming (5th ed.), Boston: Cengage Learning, 2021.
[21] Q. K. A.-S. A. M. &. A.-M. Z. Al-Shayea, "Rule-based expert system for obesity diagnosis using anthropometric and lifestyle parameters," Journal of Healthcare Engineering, p. 1–12, 2022.
[22] A. P. Y. &. H. R. Kurniawan, "Sistem pakar deteksi obesitas berbasis web menggunakan metode forward chaining," Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 10, no. 2, p. 215–224, 2023.
[23] I. G. A. &. S. N. L. P. E. Pratama, "Web-based expert system for early obesity detection using rule-based reasoning," International Journal of Informatics and Health, vol. 6, no. 1, p. 45–56, 2024.
[24] A. A.-S. M. &. A.-H. A. Al-Mousa, "Design and implementation of modular web-based expert systems for health diagnosis," Journal of Artificial Intelligence Research, vol. 10, no. 3, p. 112–121, 2022.
[25] P. &. K. D. Nugroho, "Evaluasi antarmuka sistem pakar berbasis web menggunakan prinsip user-centered design," Jurnal Informatika dan Rekayasa Perangkat Lunak, vol. 12, no. 1, p. 34–42, 2023.
Published
2025-12-31
How to Cite
PRABANDARI, Luh Putu Cintya; PUTRA, Putu Maha.
PENGEMBANGAN SISTEM PAKAR BERBASIS WEB UNTUK DETEKSI DINI OBESITAS MENGGUNAKAN METODE FORWARD CHAINING.
Jurnal Teknik Informasi dan Komputer (Tekinkom), [S.l.], v. 8, n. 2, p. 547-555, dec. 2025.
ISSN 2621-3079.
Available at: <https://jurnal.murnisadar.ac.id/index.php?journal=Tekinkom&page=article&op=view&path%5B%5D=2496>. Date accessed: 21 apr. 2026.
doi: https://doi.org/10.37600/tekinkom.v8i2.2496.
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