Penerapan Metode Hybrid Case Base Pada Sistem Pakar Diagnosa Penyakit Obesitas
DOI:
https://doi.org/10.30865/mib.v6i1.3491Keywords:
Expert System, Diagnosis, Obesity, Hybrid Case BaseAbstract
Obesity is a disease that is caused by the condition of a person's body that has a lot of fat in his body and is overweight or very fat. This condition is usually caused by the intake of calories into the human body that exceeds the capacity required by the body, where this condition causes a buildup of calories that turn into saturated fat. These conditions cause various chronic diseases such as diabetes, hypertension and coronary heart disease. Therefore, in order to avoid disease conditions caused by obesity, treatment and knowledge are needed so that it is not too late to take action so that the disease does not become severe. One of them uses an expert system, so that people can check for diseases without having to see a doctor. The method used Hybrid Case Base is used to make the best decision from a number of symptoms or alternatives from the diagnosed disease. The aim is to make it easier for the public to find out the diseases they suffer from obesity and be able to check them early. Where this expert system applies the Hybrid Case Base method which has the final result of this research producing an accurate diagnosis with a sample of symptom data used and getting a similarity measurement percentage of 77% with a diagnosis of the possibility of having Type 2 Diabetes.References
F. Tahel, “PENERAPAN EXPERT SYSTEM PADA ANAK BALITA UNTUK MENDETEKSI OBESITAS MENGGUNAKAN METODE CASE BASED REASONING,†J. Sist. Inf. Kaputama, vol. 2, no. 2, hal. 20–28, 2018.
D. P. Delima dan R. T. Prasetio, “SISTEM PAKAR DIAGNOSA KOMPLIKASI OBESITAS PADA REMAJA MENGGUNAKAN METODE CERTAINTY FACTOR,†in eProsiding Sistem Informasi (POTENSI), 2021, hal. 51–60.
S. A. Rahmah, A. Voutama, dan Susilawati, “SISTEM PAKAR DIAGNOSIS OBESITAS PADA ORANG DEWASA MENGGUNAKAN METODE BACKWARD CHAINING,†J. Inf. Technol. Comput. Sci., vol. 4, no. 2, hal. 169–177, 2021.
B. H. Hayadi, Sistem Pakar. Yogyakarta: DEEPUBLISH, 2018.
A. Imran, “IMPLEMENTASI SISTEM PAKAR DIAGNOSA PENYAKIT EPISTAKSIS PADA MANUSIA MENGGUNAKAN METODE HYBRID CASE BASED DAN RULE BASED REASONING,†J. Maj. Ilm. Inf. dan Teknol. Ilm., vol. 7, no. 1, hal. 85–92, 2019.
D. Kurnia, “IDENTIFIKASI OBESITAS PADA BALITA DI POSYANDU BERBASIS ARTIFICIAL INTELLIGENCE,†J. SAINS DAN Inform. Res. Sci. Inform., vol. 4, no. 1, hal. 76–86, 2018.
M. Syuheri, “SISTEM PAKAR MENDIAGNOSA PENYAKIT OBESITAS TINGGI DENGAN MENGGUNAKAN METODE DEMPSTER SHAFER,†JURIKOM (Jurnal Ris. Komputer), vol. 4, no. 4, 2017.
M. Fauzan, “Sistem Pakar Mendiagnosa Penyakit Kandungan Kemih Dengan Menerapkan Metode Hybrid Case Base,†J. Inf. DAN Teknol. Ilm., vol. 7, no. 3, hal. 264–268, 2020.
A. L. SP, “Sistem Pakar Mendiagnosa Penyakit Kolera Menerapkan Metode Hybrid Case Based,†Heal. Contemp. Technol. J., vol. 1, no. 1, hal. 13–19, 2020.
Rizky Delilah Rambe, “Sistem Pakar Mendiagnosa Penyakit Kanker Usus Besar Pada Manusia Dengan Menerapkan Metode Hybrid Case Based,†J. Ris. Komput., vol. 6, no. 6, hal. 606–611, 2019.
R. Wahyuni, “Jurnal APLIKASI SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT CAMPAK DAN PENCEGAHAN DENGAN METODE FORWARD CHAINING BERBASIS WEB,†J. Ilmu Komput., vol. 8, no. 2, 2019.
D. Aldo, “Sistem Pakar Diagnosis Hama Dan Penyakit Bawang Merah Menggunakan Metode Dempster Shafer,†KOMPUTIKA J. Sist. Komput., vol. 9, no. 2, 2020.
S. Nelly Astuti Hasibuan, Hery Sunandar, Senanti Alas, “SISTEM PAKAR MENDIAGNOSA PENYAKIT KAKI GAJAH MENGGUNAKAN METODE CERTAINTY FACTOR,†JURASIK (Jurnal Ris. Sist. Inf. dan Tek. Inform., vol. 2, no. 1, 2017.
U. I. Tiara, “Hubungan Obesitas dengan Kejadian Hipertensi,†J. Heal. Sci. Physiother., vol. 2, no. 2, hal. 167–171, 2020.
R. Dewi dan W. Verina, “RANCANG BANGUN SISTEM PAKAR PENENTUAN DIET SEHAT BERDASARKAN TIPE GENOTIPE MENGGUNAKAN TEOREMA BAYES,†J. Teknol. Inf. Techno.Com, vol. 17, no. 2, hal. 11–121, 2018.
A. Romadhony, S. Saadhah, dan M. A. Irfandi, “Implementasi Sistem Pakar Diagnosa Penyakit Gigi Dan Mulut Menggunakan Metode Hybrid Case Based dan Rule Based Reasoning,†in Indonesia Symposium On Computing, 2015, hal. 2460–3295.
E. D. Simanjuntak, H. Sunandar, dan R. K. Hondro, “Implementasi Metode Hybrid Case-Based Reasoning Untuk Mendiagnosa Pengidap Penyakit Post-Traumatic Stress Disorder(PTSD),†JURIKOM (Jurnal Ris. Komputer), vol. 7, no. 2, hal. 256–263, 2020.
P. Tarigan, “SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT DISENTRI DENGAN MENGGUNAKAN METODE HYBRID CASE BASED,†J. Tek. Inform. Kaputama, vol. 2, no. 1, hal. 105–114, 2018.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).