Combination Forward Chaining and Certainty Factor Methods for Selecting the Best Herbs to Support Independent Health
DOI:
https://doi.org/10.30812/matrik.v24i2.4485Keywords:
Certainty Factor, Forward Chaining, Herbal Plant, Support Independent HealthAbstract
The use of herbal medicine as an alternative treatment is increasingly popular due to its natural benefits and cultural significance. However, a lack of public knowledge about the effectiveness, appropriate dosages, and processing methods of herbal remedies poses a significant barrier to their proper utilization. This knowledge gap often leads to suboptimal or even unsafe usage of herbal medicines. To address this issue, this study proposes an application-based system combining the Forward Chaining and Certainty Factor methods to provide personalized recommendations for the best herbal remedies supporting self-health management. The research aims to enhance accessibility to reliable information on herbal treatments while ensuring accurate and user-specific recommendations. By utilizing the Forward
Chaining and Certainty Factor method, this system identifies suitable herbal plants based on the type of disease, processing techniques, recommended dosages, and duration of treatment. Meanwhile, the Certainty Factor method calculates the level of certainty for each recommendation provided. The study’s results showed a validation rate of 90%, indicating that the combination of these two methods effectively bridges the gap between traditional herbal knowledge and modern health needs. This study concludes that the system offers a practical tool for individuals to select and use herbal treatments safely and effectively, promoting better health outcomes.
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hydrolyzed extracts of anti-hyperuricemic plants to their xanthine oxidase activities,†Journal of Ethnopharmacology, vol. 278,
pp. 1–5, 2021, https://doi.org/10.1016/j.jep.2021.114294.
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[6] R. Aziz, F. Fatmawati, A. Abriana, S. Laga, A. Halik, R. Gatta, M. Marwah, M. Akmar, and S. Novenri, “Workshop Pembuatan
Produk Teh Herbal Daun Kelor Melalui KKN Tematik di Desa Mattirowalie Kabupaten Wajo,†Empowerment: Jurnal
Pengabdian Kepada Masyarakat, vol. 1, no. 2, 2023, https://doi.org/10.35965/je.v1i2.3898.
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127.
[11] N. M. A. Kartika, Y. Mariani, L. Yaqutunnafis, B. Salkiah, and F. A. Triwidardi, “Integrasi Taman Herbal dengan Lebah Madu
Trigona Sp. di Desa Sesela Lombok Barat Sebagai Nutrisi Tambahan di Masa Pandemi Covid-19,†Jurnal Pengabdian Magister
Pendidikan IPA, vol. 4, no. 4, 2021, https://doi.org/10.29303/jpmpi.v4i4.1029.
[12] Melina, E. K. Putra, W. Witanti, Sukrido, and V. A. Kusumaningtyas, “Design and Implementation of Multi Knowledge Base
Expert System using the SQL Inference Mechanism for Herbal Medicine,†in Journal of Physics: Conference Series, vol. 1477,
no. 2, 2020, pp. 1–11, https://doi.org/10.1088/1742-6596/1477/2/022007.
[13] T. Pradana, M. Z. Ilmi, and T. Arifianto, “Pengembangan Sistem Pakar Pemilihan Jamu dengan Diagnosa Penyakit Pada Manusia
dengan Metode Forward Chaining,†Jurnal Ilmiah Informatika, vol. 9, no. 01, pp. 11–18, 2021, https://doi.org/10.33884/jif.
v9i01.3661.
[14] B. Kurasug and N. Wongpinunwatana, “Developing An Expert System for Early Warning Signs of The Emergence of Common
Diseases: A Preliminary Treatment Using Thai Traditional Herbal Medicines,†Journal of Southwest Jiaotong University,
vol. 57, no. 4, pp. 137–148, 2022, https://doi.org/10.35741/issn.0258-2724.57.4.12.
[15] M. Kim, Y. Woo, and C. ho Han, “Current status of the spontaneous reporting and classification/coding system for herbal and
traditional medicine in pharmacovigilance,†Integrative Medicine Research, vol. 10, no. 1, pp. 100–467, 2021, https://doi.org/
10.1016/j.imr.2020.100467.
[16] E. Anjani Putri and A. Eviyanti, “Sistem Pakar Rekomendasi Jurusan Menggunakan Metode Forward Chaining,†Jurnal
Tekinkom, vol. 6, no. 2, 2023, https://doi.org/10.37600/tekinkom.v6i2.1071.
[17] Sumiati, H. Saragih, T. K. A. Rahman, and A. Triayudi, “Expert system for heart disease based on electrocardiogram data
using certainty factor with multiple rule,†IAES International Journal of Artificial Intelligence, vol. 10, no. 1, pp. 43–50, 2021,
https://doi.org/10.11591/ijai.v10.i1.pp43-50.
[18] D. Dhianawaty, R. G. Dwiwina,W. Mayasari, and Achadiyani, “Preliminary Exploration of Traditional Medicine Formulas as A
Basis of Effort and Support Toward Traditional Medicines Developing use and Implementation in The Government Healthcare
Program,†Pharmacognosy Journal, vol. 15, no. 3, pp. 279–284, 2023, https://doi.org/10.5530/pj.2023.15.75.
[19] E. Ernawati, D. Hidayatullah, and I. Fitri, “Sistem Pakar Delirium Pasien COVID-19 Pada Lansia menggunakan Metode
Certainty Factor dan Forward Chaining,†Jurnal Media Informatika Budidarma, vol. 6, no. 1, pp. 434–442, 2022, https:
//doi.org/10.30865/mib.v6i1.3503.
[20] I. Effendi and G. W. Nurcahyo, “Sistem Pakar Menggunakan Metode Forward Chaining dalam Identifikasi Kemampuan Siswa
Terhadap Bidang Vokasi Pada Sekolah Menengah Kejuruan,†Jurnal Informasi dan Teknologi, vol. 3, no. 1, pp. 21–28, https:
//doi.org/10.37034/jidt.v3i1.83.
[21] K. M. Sukiakhy, Z. Zulfan, and O. Aulia, “Penerapan Metode Certainty Factor pada Sistem Pakar Diagnosa Gangguan Mental
pada Anak Berbasis Web,†Cyberspace: Jurnal Pendidikan Teknologi Informasi, vol. 6, no. 2, pp. 7–13, 2022, https://doi.org/
10.22373/cj.v6i2.14195.
[22] E.Wahyu Sholeha, B. Sabella,W. Kusrini, and S. Komalasari, “Sistem Pakar Penyakit Kesehatan Mental Remaja menggunakan
Metode Forward Chaining dan Certainty Factor,†Kumpulan jurnal Ilmu Komputer (KLIK), vol. 10, no. 1, 2023, https://doi.org/
10.20527/klik.v10i1.523.
[23] M. A. Dzakwan, S. Subiyanto, R. A. Aprilianto, and M. N. Syah, “Sistem Diagnosis Penyakit Kerbau menggunakan Algoritma
Forward Chaining,†ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika, vol. 12, no. 1,
pp. 217–231, 2024, https://doi.org/10.26760/elkomika.v12i1.231.
[24] F. A. Sany, “Penerapan Sistem Pakar untuk Deteksi Stunting,†Jurnal Ilmiah Ecosystem, vol. 23, no. 3, pp. 602–609, 2023,
https://doi.org/10.35965/eco.v23i3.3774.
[25] R. Noviardi, “Sistem Pakar Menggunakan Forward Chaining dan Certainty Factor untuk Diagnosa Kerusakan Smartphone,â€
Satin - Sains dan Teknologi Informasi, vol. 8, no. 1, 2022, https://doi.org/10.33372/stn.v8i1.858.
[26] M. Oktaviansyah, R. Tamara, and I. Fitri, “Sistem Pakar untuk Mendiagnosa Penyakit Mata Menerapkan Metode Certainty
Factor dan Forward Chaining,†Jurnal Media Informatika Budidarma, vol. 6, no. 1, 2022, https://doi.org/10.30865/mib.v6i1.
3542.
[27] M. Jufri and D. P. Caniago, “Perancangan Sistem Pakar Diagnosa Penyakit Otitis Menggunakan Metode Forward Chaining Dan
Certainty Factor,†Jurnal Teknologi Dan Sistem Informasi Bisnis, vol. 4, no. 2, 2022, https://doi.org/10.47233/jteksis.v4i2.510.
[28] A. W. N. Putra and N. C. Laksmita, “Sistem Pakar : Deteksi Dini Stres pada Masa Pandemi Covid-19 menggunakan Metode
Forward Chaining,†Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 9, no. 1, pp. 11–16, 2022, https://doi.org/10.25126/
jtiik.2021863789.
[29] A. Neptiani and G. Soepriyono, “Diagnosa Penyakit Paru-Paru dengan Metode Forward Chaining dan Certainty Factor Berbasis
Web Web-based Lung Disease Diagnosis Using Forward Chaining and Certainty Factor Method,†Techno.Com, vol. 21, no. 4,
pp. 816–868, 2022, https://doi.org/10.33633/tc.v21i4.6767.
[30] K. Riehl, M. Neunteufel, and M. Hemberg, “Hierarchical confusion matrix for classification performance evaluation,†Journal
of the Royal Statistical Society. Series C: Applied Statistics, vol. 72, no. 5, 2023, https://doi.org/10.1093/jrsssc/qlad057.
[31] M. Stawowy,W. Olchowik, A. Rosi´nski, and T. Daa¸browski, “The analysis and modelling of the quality of information acquired
from weather station sensors,†Remote Sensing, vol. 13, no. 4, 2021, https://doi.org/10.3390/rs13040693.
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2025-03-06
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[1]
M. Azwar, S. Winarni Sofya, R. Malika, H. Hairani, and J. Ximenes Guterres, “Combination Forward Chaining and Certainty Factor Methods for Selecting the Best Herbs to Support Independent Health”, MATRIK, vol. 24, no. 2, pp. 247–258, Mar. 2025, doi: 10.30812/matrik.v24i2.4485.
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