Penguatan Pengetahuan Gizi melalui Penerapan Pola Diet 7 Day Dash Eating Plan GERD

Authors

  • Nurromsyah Nasution STIKes Medika Seramoe Barat, Aceh, Indonesia
  • Orita Satria STIKes Medika Seramoe Barat, Aceh, Indonesia
  • Samsidar Samsidar STIKes Medika Seramoe Barat, Aceh, Indonesia
  • Zakiyah Zakiyah STIKes Medika Seramoe Barat, Aceh, Indonesia

DOI:

https://doi.org/10.35335/lebah.v19i1.381

Keywords:

Diet DASH, Gizi Gastroesophageal Reflux Disease (GERD), Pengetahuan

Abstract

Penyakit gastroesophageal reflux disease (GERD) menunjukkan peningkatan prevalensi, termasuk di kalangan remaja, akibat pola makan tidak sehat dan gaya hidup modern. Pengabdian masyarakat ini bertujuan meningkatkan pengetahuan dan kesadaran siswa SMA dalam pencegahan GERD melalui pendekatan edukatif menggunakan metode 7 Day DASH Eating Plan, yang merupakan penerapan baru dalam edukasi gizi di lingkungan sekolah menengah. Kegiatan dilaksanakan di SMAN 1 Meureubo dengan melibatkan 20 siswa, menggunakan metode edukasi interaktif, simulasi penyusunan menu sehat, dan pembagian booklet panduan. Hasil pre-test dan post-test menunjukkan peningkatan signifikan pengetahuan siswa sebesar 70%, disertai perubahan positif pada pemahaman, sikap, dan perilaku terkait pola makan sehat. Kebaruan program ini terletak pada integrasi diet DASH sebagai strategi praktis, terstruktur, dan mudah diadaptasi oleh remaja, yang sebelumnya lebih banyak diterapkan pada populasi dewasa dengan penyakit kardiovaskular. Temuan ini memiliki relevansi luas dalam konteks kesehatan masyarakat karena menawarkan model promosi kesehatan berbasis sekolah yang dapat direplikasi untuk menurunkan risiko penyakit pencernaan dan non-komunikabel sejak remaja.

References

Afifa, R. M., Ginting, R., Afrisawati, A., Riandari, F., & Safitri, H. R. (2025). Pemanfaatan Artificial Intelligence (AI) dalam menyusun karya ilmiah bagi siswa SMA Unggulan Al-Azhar Medan. Lebah, 18(4), 360–369.

Fahriska Hasibuan, W., Aida Larasati, T., Aulia Syahdifva Harahap, N., Shanel, B., Lap Golf, J., Tengah, K., Pancur Batu, K., & Deli Serdang, K. (2024). Pola Makan Remaja sebagai Faktor Risiko Penyakit Gerd. Jurnal Ilmu Kesehatan Dan Gizi, 2(3), 32–41. https://doi.org/10.55606/jig.v2i3.3019

Fass, R., Boeckxstaens, G. E., El-Serag, H., Rosen, R., Sifrim, D., & Vaezi, M. F. (2021). Gastro-oesophageal reflux disease. Nature Reviews. Disease Primers, 7(1), 55. https://doi.org/10.1038/s41572-021-00287-w

Ginting, R., Riandari, F., & Afrisawati, A. (2025). Perbandingan metode Teorema Bayes dan Dempster Shafer menentukan status gunung berapi. Jurnal Nasional Teknologi Komputer, 5(3), 802–810.

Judijanto, L., & Riandari, F. (2024). Fuzzy logic framework for financial distress prediction: Enhancing corporate decision-making under uncertainty. International Journal of Basic and Applied Science, 13(1), 1–13.

Judijanto, L., Riandari, F., & Marsoit, P. T. (2024). Leveraging AI for optimization in supply chain decision support: Enhancing predictive accuracy. Jurnal Teknik Informatika CIT Medicom, 16(3), 171–184.

Kementerian Kesehatan Republik Indonesia. (2023). “Profil Kesehatan Indonesia 2022.”https://kemkes.go.id/id/profil-kesehatan-indonesia-2022.

Kim, Y. S., Kim, N., & Kim, G. H. (2020). Global and Asian epidemiology of GERD: A systematic review. Journal of Neurogastroenterology and Motility, 26(2), 171–180. https://doi.org/10.59870/jurkep.v12i1.121

Lee, H. Y., et al. (2020). Effectiveness of DASH-based nutrition education for adolescents in reducing gastrointestinal risk. Korean Journal of Health Promotion, 20(4), 312–320.

Leiman, D. A., & Metz, D. C. (2019). Gastroesophageal Reflux Disease. Clinical Gastrointestinal Endoscopy, June, 268–278. https://doi.org/10.1016/B978-0-323-41509-5.00024-4

Mohebbi, M., Daryani, N. E., & Jafari, M. (2022). DASH diet and gastrointestinal health: A review of the evidence. Journal of Digestive Disorders, 11(1), 33–40. https://doi.org/10.32660/jpk.v9i2.677

National Heart, L. and B. I. (2015). Lowering Your Blood Pressure With DASH.

Nurromsyah Nasution; Dinda Rahmadaningsih; Orita Satria. (2024). Animated video education on the level of knowledge of Gastroesophageal Reflux Disease ( GERD ) in teenager. Science Midwifery, 12(3).

Nurromsyah Nasution; Orita Satria. (2023). Pengaruh Pola Diet DASH Terhadap Kejadian Gastroesophageal Reflux Disease (GERD) Pada Remaja. 6(2), 941–947. https://doi.org/10.47672/ejhs.1212

Nurromsyah Nasution; Orita Satria. (2025). The relationship between diet and events Gastroesophageal Reflux Disease ( GERD ) inteenager. Journal of Midwifery and Nursing, 7(1), 47–51.

Phillips, R., & Pittman, R. H. (2015). An introduction to community development. Routledge. https://doi.org/10.30743/ibnusina.v22i1.363

Piccirillo, M., Pucinischi, V., Mennini, M., Strisciuglio, C., Iannicelli, E., Giallorenzi, M. A., Furio, S., Ferretti, A., Parisi, P., & Di Nardo, G. (2024). Gastrointestinal bleeding in children: diagnostic approach. Italian Journal of Pediatrics, 50(1), 1–12. https://doi.org/10.1186/s13052-024-01592-2

Pujiastuti, L., Wahyudi, M., da Conceição, B. J., & Riandari, F. (2023). Robust mathematical model for supply chain optimization: A comprehensive study. Journal of Intelligent Decision Support System, 6(2), 57–65.

Riandari, F. (2017). Sistem pakar mendiagnosa penyakit kulit wajah menggunakan metode certainty factor. Jurnal Mantik Penusa, 1(2).

Riandari, F. (2022). Implementasi algoritma Apriori dalam memprediksi transaksi penjualan kartu internet Indosat pada PT Multi Media Selular. Journal Information Technology, Software Engineering and Networking, 1(2), 62–75.

Riandari, F., & Cristy, N. (2021). Implementasi metode Advanced Encryption Standard (AES 128 Bit) untuk mengamankan data keuangan. Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI), 4(2), 75–85.

Riandari, F., & Defit, S. (2022). The application of C4.5 algorithm for selecting scholarship recipients. ComTech: Computer, Mathematics and Engineering Applications, 13(1), 11–21.

Riandari, F., & Nadhira, D. (2021). Expert system diagnosing anxiety disorder using Naïve Bayes method. Journal of Intelligent Decision Support System, 4(4), 105–112.

Riandari, F., & Sihotang, H. T. (2025). Distribution cost optimization: Comparison of NWC, MODI, and Stepping Stone methods in transportation problems. International Journal of Basic and Applied Science, 14(2), 85–96.

Riandari, F., Afrisawati, A., Afifa, R. M., Syahputra, R., & Ginting, R. (2024). Dynamic optimization algorithms for enhancing blockchain network resilience against distributed attacks. International Journal of Basic and Applied Science, 13(2), 96–111.

Riandari, F., Albert, M. Z., & Rogoff, S. S. (2023). MCDM methods to address sustainability challenges, such as climate change, resource management, and social justice. Idea: Future Research, 1(1), 25–38.

Riandari, F., Alesha, A., & Sihotang, M. (2023). Measuring the position of human intelligence in influencing its success. Ministries and Theology, 1(1), 33–44.

Riandari, F., Dalimunthe, Y. A., Ginting, R., Afifa, R. M., & Afrisawati, A. (2025). Hungarian maximization model approach for optimizing human resource assignment in multi-site projects. Jurnal Teknik Informatika CIT Medicom, 17(2), 50–58.

Riandari, F., Defit, S., & Yuhandri, Y. (2022). Artificial intelligence approach for smart sharia tourism: A review. Journal of Theoretical and Applied Information Technology, 100(13), 4932–4940.

Riandari, F., Manurung, J., & Simbolon, R. (2024). Evaluation of the effectiveness of interventions in promoting awareness and acceptance of rapid testing. Community Service and Applied Research, 1(1), 47–60.

Riandari, F., Sihotang, D., & Schubert, H. H. (2022). Tackling uncertainty in vehicle routing: Advancements in time windows and stochastic demands optimization. International Journal of Enterprise Modelling, 16(2), 82–93.

Riandari, F., Sihotang, H. T., & Husain, H. (2022). Forecasting the number of students in multiple linear regressions. MATRIK: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, 21(2).

Riandari, F., Simangunsong, A. (2020). Penerapan algoritma C4.5 untuk mengukur tingkat kepuasan mahasiswa. Jurnal Mantik Penusa, 3(2), 1–7.*

Riandari, F., Sinaga, B. S. (2020). Implementation of decision support system for determination of employee contract extension using SAW. Journal of Computer Networks, Architecture and High Performance Computing, 2(2), 149–156.

Riandari, F., Tarigan, R. Z. (2022). Development of an expert system for early detection of heart disease using the Bayes theorem method. Repositori Institusi STMIK Pelita Nusantara.

Riandari, F., Tasril, V., & Ritonga, R. P. (2024). Increasing cybersecurity awareness among teenagers through digital education and simulation. Lebah, 18(1), 47–55.

Sembiring, A. S., Manahan, O., Napitupulu, M. H., Hasugian, P. S., & Riandari, F. (2019). Implementation of certainty factor method for expert system. Journal of Physics: Conference Series, 1255(1), 012065.

Sihotang, H. T., & Riandari, F. (2020). Expert system to differentiate mixed diseases in babies using CBR (Case-Based Reasoning) method. Journal of Critical Reviews, 7(5), 48–51.

Sihotang, H. T., Albert, M., Riandari, F., & Rendell, L. (2023). Efficient optimization algorithms for various machine learning tasks. Idea: Future Research, 1(1), 14–24.

Sihotang, H. T., Lavemaau, J., Riandari, F., Panjaitan, F. S., Gorat, S. E., & Batubara, J. (2023). Integrating the neural network into the stochastic DEA model. Idea: Future Research, 1(1), 5–13.

Sihotang, H. T., Riandari, F., & Sihotang, J. (2024). Graph-based exploration for mining and optimization of yields (GEMOY Method). Jurnal Teknik Informatika CIT Medicom, 16(2), 70–81.

Sihotang, H. T., Riandari, F., & Simatupang, C. D. (2024). HIV/AIDS knowledge and perceptions of rapid testing in university students: A cross-sectional survey. Community Service and Applied Research, 1(1), 1–17.

Sihotang, H. T., Riandari, F., Buulolo, P., & Husain, H. (2021). Sistem pakar untuk identifikasi kandungan formalin dan boraks pada makanan dengan metode Certainty Factor. MATRIK: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, 21(1), 63–74.

Sihotang, H. T., Riandari, F., Simanjorang, R. M., & Simangunsong, A. (2019). Expert system for diagnosis of chicken disease using Bayes theorem. Journal of Physics: Conference Series, 1230(1), 012066.

Sihotang, H. T., Siringoringo, R., Riandari, F., Song, J. L., & Sim, L. C. (2023). Development of stable qubits and error correction in quantum computer architecture for superconducting quantum processors. Journal of Computer Science Research, 1(4), 104–109.

Sihotang, H. T., Vinsensia, D., Riandari, F., & Chandra, S. (2024). Data-driven corporate growth: A dynamic financial modelling framework for strategic agility. International Journal of Basic and Applied Science, 13(2), 84–95.

Suwella, S. I., & Riandari, F. (2021). Expert system diagnosing diabetes using web-based Dempster Shafer method. Journal of Intelligent Decision Support System, 4(4), 122–128.

World Gastroenterology Organization. (2015). Practice Guidelines: Gastroesophageal Reflux Disease (GERD).

Yahya, W. W., & Riandari, F. (2021). Decision support system in determining the location of village health services using the profile matching method. Journal of Intelligent Decision Support System, 4(4), 129–139.

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Published

2025-09-30

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