WEBSITE SISTEM PAKAR DIAGNOSA PENYAKIT KULIT DENGAN FORWARD CHAINING (STUDI KASUS : PUSKESMAS TANGGULANGIN)

Awwaluddin Abdul Qohhar; Moh Noor Al Azam

doi:10.47080/simika.v7i1.3212

Awwaluddin Abdul Qohhar Universitas Narotama
Moh Noor Al Azam Universitas Narotama

DOI: https://doi.org/10.47080/simika.v7i1.3212

Keywords: Expert System, Forward Chaining Method, Laravel Framework, Skin Disease Diagnosis

Abstract

A website-based expert system for diagnosing skin diseases using the Forward Chaining method and the Laravel Framework at the Tanggulangin Health Center. The main focus of research is to improve accessibility, accuracy of diagnosis, and public awareness of skin health. Quantitative approaches and exploratory design are applied through literature studies, interviews, surveys, system design, trials, evaluations, and improvements. The system development process involves collecting data from observations, interviews, and medical data to devise relational rules, tables of disease types, symptoms, and decision trees. The use of the Laravel Framework is the main foundation of system design, including user interface (UI) design, database structure, Forward Chaining inference logic, and diagnostic needs. System trials are conducted with test scenarios to evaluate the system's ability to diagnose various skin disease conditions. Data analysis is carried out quantitatively, especially on test results, to assess system reliability. The results of this study provide an empirical basis for recommendations for further development. Hopefully, this system can make a positive contribution in the process of diagnosing skin diseases at the Tanggulangin Health Center and increase overall public skin health awareness. This system is able to provide a diagnosis of skin diseases based on the symptoms inputted by the user. The evaluation carried out provides a positive picture regarding the effectiveness and satisfaction of users.

References

Abidin Achmad, Z., Ida, R., Program Doktor Ilmu Sosial, M., & Airlangga, U. (2018). ETNOGRAFI VIRTUAL SEBAGAI TEKNIK PENGUMPULAN DATA DAN METODE PENELITIAN. In The Journal of Society & Media (Vol. 2, Issue 2). https://journal.unesa.ac.id/index.php/jsm/index
Athallah, G., Swandi Hulu, I., Ikhlas, S., & Kurnia, Y. H. (2023). Penerapan Metode Forward Chaining Pada Sistem Pakar Diagnosa Penyakit Kulit. JRIIN : Jurnal Riset Informatika Dan Inovasi, 1(2). https://jurnalmahasiswa.com/index.php/jriin
Gatot Susilo. (2022). PENGEMBANGAN APLIKASI MEDIA PEMBELAJARAN DEVLABS DALAM MATERI KESETIMBANGAN KIMIA BERBASIS LITERASI SAINS.
I Made Sudarma Adiputra, Ni Wayan Trisnadewi, Ni Putu Wiwik Oktaviani, & Dst. (2021). Metodologi Penelitian Kesehatan.
Ilmi, A. F., Pipit, D., & Arnesia, D. (2021). IMPLEMENTASI METODE FORWARD CHAINING UNTUK DIAGNOSA PENYAKIT COVID-19 DAN SEJENISNYA BERBASIS WEB MENGGUNAKAN FRAMEWORK LARAVEL. Seminar Nasional Teknologi Informasi Dan Komunikasi STI&K (SeNTIK), 5(1).
Jurnal, H., Sapta Permana, I., & Sumaryana, Y. (2018). SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT KULIT DENGAN METODE FORWARD CHAINING. JUMANTAKA, 1(1).
Manajemen, J., Agung Laksono, A., Syahlanisyiam, M., & Rosyani, P. (n.d.). Sistem Pakar Diagnosa Penyakit Kulit Dengan Menggunakan Metode Forward Chaining. https://journal.mediapublikasi.id/index.php/manekin
Permadi, D. (2018). SISTEM PAKAR DIAGNOSA PENYAKIT GIGI DAN MULUT BERBASIS WEB DENGAN METODE FORWARD CHAINING. Jurnal PROSISKO, 5(1).
Pratiwi, H. I., & Kamardi, R. (2019). Pengembangan Sistem Web Sebagai Diagnosa Dini Penyakit Alergi Kulit Dermatitis Atopik Dengan Metode Forward Chaining. WIDYAKALA JOURNAL, 6(2), 167. https://doi.org/10.36262/widyakala.v6i2.219
Prof. Dr. H.M. Sidik Priadana, M., & Denok Sunarsi, S. Pd. , M. M. CHt. ,. (2021). METODE PENELITIAN KUANTITATIF.
Putra, F. R. B., Fadlil, A., & Umar, R. (2021). Analisis Metode Forward Chaining Pada Sistem Pakar Diagnosa Penyakit Hewan Sapi Berbasis Android. In Jurnal Sains Komputer & Informatika (J-SAKTI (Vol. 5, Issue 2).
Putri, D. D., Tanzil Furqon, M., & Perdana, R. S. (2018). Klasifikasi Penyakit Kulit Pada Manusia Menggunakan Metode Binary Decision Tree Support Vector Machine (BDTSVM) (Studi Kasus: Puskesmas Dinoyo Kota Malang) (Vol. 2, Issue 5). http://j-ptiik.ub.ac.id
Rifqi, M. N., & Iskandar, A. (2023). Analisa Sistem Pakar Menggunakan Algoritma Teorema Bayes Untuk Mendiagnosa Penyakit Fibrodysplasia Ossificans Progressiva (FOP). Journal of Computer System and Informatics (JoSYC), 4(4), 797–805. https://doi.org/10.47065/josyc.v4i4.4041
Satyaninggrat, L. M. W., Hamijaya, P. D. N., & Rahmah, K. (2023). Analisis Pemodelan Data Flow Diagram pada Sistem Basis Data Wisata Kuliner di Kota Balikpapan. MALCOM: Indonesian Journal of Machine Learning and Computer Science, 3(2), 236–246. https://doi.org/10.57152/malcom.v3i2.920
Sidik Rahmatullah, & Rima Mawarni. (2021). SISTEM PAKAR DIAGNOSA PENYAKIT KULIT PADA BALITA MENGGUNAKAN METODE NAÏVE BAYES DAN FORWARD CHAINING STUDI KASUS PUSKESMAS CEMPAKA SUNGKAI SELATAN. Jurnal Informasi Dan Komputer, IX, 144–153.
SISTEM PAKAR DIAGNOSA PENYAKIT KULIT ANJING MENGGUNAKAN METODE FORWARD CHAINING BERBASIS ANDROID. (n.d.).
Studi, P., & Informasi, S. (2019). MODUL SISTEM BASIS DATA.
Trianasari, A., Kom, S., St, N. H., & Pndjaitan, J. D. I. M. (2018). Sistem Pakar Diagnosa Penyakit Kulit Menggunakan Metode Forward Chaining Berbasis Web. In Jurnal Esensi Infokom (Vol. 2, Issue 1).
Yola Hutasoit, R. P., Khairul Anam, M., Studi Teknik Informatika, P., & Studi Teknologi Informasi, P. (n.d.-a). Implementasi Metode Forward Chaining untuk Identifikasi Penyakit Kulit dan Alternatif Penanganannya. 6(1), 2021.
Yola Hutasoit, R. P., Khairul Anam, M., Studi Teknik Informatika, P., & Studi Teknologi Informasi, P. (n.d.-b). Implementasi Metode Forward Chaining untuk Identifikasi Penyakit Kulit dan Alternatif Penanganannya. 6(1), 2021.