Jurnal SINTA 2
Sistem Pakar untuk Diagnosis Penyakit Tiroid dengan Gejala Psikologis Beserta Pengobatan Etnobotaninya
Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 9 No. 7 (2022) · pp. 1771–1778
- ISSN
- 2528-6579, 2355-7699
- Published
- 2022-12-29
- Publisher
- Fakultas Ilmu Komputer, Universitas Brawijaya
- Language
- id
Abstract
Peran sistem pakar dapat membantu seorang ahli memecahkan masalah di bidang tertentu. Salah satu manfaat dari sistem ahli adalah bahwa ia digunakan untuk mendiagnosis penyakit tertentu atau gejala suatu penyakit. Faktor kepastian (certainty factor) memiliki aturan penting untuk sistem pakar dengan spesialisasi ini. Penyakit tiroid dikorelasikan dengan gangguan psikologis. Dewasa ini, banyak masyarakat masih memanfaatkan tumbuhan sebagai obat-obatan tradisional, dalam kajian ilmu biologi disebut sebagai etnobiologi. Beberapa pengobatan tanaman tradisional untuk penyakit tiroid juga digunakan masyarakat. Namun, belum ditemukannya sistem pakar untuk mendiagnosis penyakit tiroid dengan gejala-gejala psikologis beserta saran tanaman obatnya. Studi ini bertujuan menerapkan sistem pakar untuk mendiagnosis penyakit tiroid dengan gejala psikologis dan saran pengobatan tradisionalnya. Penelitian ini juga mengusulkan aplikasi sistem pakar berbasis Android yang dapat diimplementasikan bagi dokter. Metode penelitian menggunakan metode faktor kepastian dengan inferensi persentase tingkat kepercayaan dan saran tanaman obat tradisional yang bisa digunakan. Pengumpulan data melalui wawancara dokter dan studi literatur relevan untuk data etnobotani. Validasi sistem dilakukan oleh dokter dan ahli botani. Hasilnya adalah sistem pakar ini mampu memberikan validitas di atas 90% untuk penyakit tiroid dan dapat digunakan dokter untuk membantu mendiagnosis pasien dengan indikasi penyakit tiroid beserta gejala-gejala psikologisnya. AbstractThe role of an expert system can help an expert solve problems in a particular field. One of the benefits of the expert system is that it is used to diagnose a specific disease or symptom of a disease. The certainty factor has important rules for the system of experts with this specialty. Thyroid disease is correlated with psychological disorders. Nowadays, many people still use plants as traditional medicines, in the study of biological sciences it is referred to as ethnobiology. Some folk plant treatments for thyroid disease are also used by the public. However, there has not been a finding of an expert system for diagnosing thyroid disease with psychological symptoms along with suggestions for medicinal plants. The study aims to apply an expert system for diagnosing thyroid disease with its psychological symptoms and traditional treatment advice. This study also proposes an Android-based expert system application that can be implemented for doctors. The research method uses the method of certainty factor with inference of the percentage of the level of trust and suggestions of traditional medicinal plants that can be used. Data collection through physician interviews and literature studies is relevant for ethnobotanical data. Validation of the system is carried out by doctors and botanists. The result is that this expert system is able to provide validity above 90% for thyroid disease and can be used by doctors to help diagnose patients with indications of thyroid disease and their psychological symptoms.
Collaboration network of the authors
31 authors · 110 co-authorship links · 58 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Technology Malaysia
- Universitas Sumatera Utara
- Jakarta Global University
- Jenderal Soedirman University
- Bandung Institute of Technology
- IPB University
- Universiti Sains Malaysia
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Mohd Hafizi Ahmad | University of Technology Malaysia | 4 |
| Nehaluddin Ahmad | University of Technology Malaysia | 3 |
| Izzah Hazirah Zakaria | University of Technology Malaysia | 2 |
| N. A. Awang | University of Technology Malaysia | 2 |
| Noor Azlinda Ahmad | University of Technology Malaysia | 2 |
| Nor Asiah Muhamad | Universiti Sains Malaysia | 2 |
| Zuraimy Adzis | University of Technology Malaysia | 2 |
| Jasmy Yunus | University of Technology Malaysia | 1 |
| M. Hilman Ahmad | University of Technology Malaysia | 1 |
| Noor ‘Aliaa Awang | Affiliation unknown | 1 |
| Faris Akmal Suhaini | University of Technology Malaysia | 1 |
| Siti Sufiah Abd Wahid | Universiti Teknologi MARA | 1 |
| Mohd Fikri Hilmi Mohd Taib | University of Technology Malaysia | 1 |
| Mohd Hafiez Izzwan Saad | Universiti Malaysia Sarawak | 1 |
| M. S. Mohd Fua’ad | University of Technology Malaysia | 1 |
| Arief Marwanto | Sultan Agung Islamic University | 1 |
| Sharifah Kamilah Syed Yusof | University of Technology Malaysia | 1 |
| Yulianta Siregar | Universitas Sumatera Utara | 1 |
| Maulaya Muhammad | Universitas Sumatera Utara | 1 |
| Naemah Mubarakah | Universitas Sumatera Utara | 1 |
| Soeharwinto Soeharwinto | Universitas Sumatera Utara | 1 |
| Riswan Dinzi | Universitas Sumatera Utara | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.