Penerapan Metode Cased Based Reasoning dalam Mendiagnosa Penyakit TB Paru Berbasis Web

Studi Kasus: PKM Kabukarudi

Authors

  • Susila Mete Universitas Stella Maris Sumba
  • Andreas Ariyanto Rangga Universitas Stella Maris Sumba
  • Agustina Purnami Setiawi Universitas Stella Maris Sumba

DOI:

https://doi.org/10.61132/neptunus.v2i4.412

Keywords:

Cased Based Reasoning Method, Pulmonary TB Disease, Diagnosing

Abstract

Collaboration of computer science disciplines with other disciplines has been widely carried out, for example, medical science. Expert systems for disease diagnosis are one of the many computer programs used by doctors to assist them in their work and provide good results. Researchers in the field of artificial intelligence are working to improve existing systems to cover their shortcomings. Expert systems are used in many applications for disease diagnosis. Expert systems have been used in various industries and have had a significant impact. An innovative method for diagnosing diseases is the application of case-based reasoning systems, compared to expert systems. The solution to diagnosing and treating diseases can be found in the expert system for diagnosing pulmonary tuberculosis. Because this web-based system is based on a web application, all pulmonary tuberculosis patients can access it. A rule-based system that applies the CBR method can identify various types of diseases through the use of weighting techniques and offer treatment recommendations.

References

Arbie. (2003). Manajemen database dengan MySQL. Yogyakarta: Andi.

Arhami, M. (2005). Konsep dasar sistem pakar. Yogyakarta: Andi.

Eka Wahyudi, & Pradasari, N. I. (2018). Case-based reasoning untuk diagnosis penyakit TB paru menggunakan metode Minkowski distance (Thesis, Prodi S2/S3 Ilmu Komputer, Universitas Gadjah Mada, Yogyakarta).

Kristanto, A. (2004). Kecerdasan buatan. Yogyakarta: Graha Ilmu.

Kusrini. (2006). Sistem pakar: Teori dan aplikasi. Yogyakarta: Andi.

Kusrini. (2008). Aplikasi sistem pakar. Yogyakarta: ANDI Offset.

Lasmedi Afuan. (2008). Sistem pakar berbasis web untuk diagnosis penyakit kulit manusia menggunakan fuzzy Mamdani (Skripsi, Teknik Informatika).

Nurdiansyah, Y., & Hartati, S. (2014). Case-based reasoning untuk pendukung diagnosa gangguan pada anak autis (Thesis, Prodi S2/S3 Ilmu Komputer, Universitas Gadjah Mada, Yogyakarta).

Setiawan. (2006). Membangun aplikasi web dengan PHP & MySQL. Jakarta: Elex Media Komputindo.

Smelter, S. C., & Bare, B. G. (2001). Buku ajar: Keperawatan medikal bedah Brunner & Suddarth (2nd ed.). Jakarta: EGC.

Soeharto, I. (2004). Serangan TB paru dan stroke: Hubungannya dengan lemak dan kolesterol (Edisi kedua). Jakarta: PT Gramedia Pustaka Utama.

Syafii, M. (2005). Panduan membuat aplikasi database dengan PHP 5. Yogyakarta: ANDI Offset.

Turban. (1995). Analisis sistem pakar. Yogyakarta: Andi.

Wahyudi. (2011). Perancangan program sistem pakar untuk mendiagnosa penyakit sendi dan kulit pada manusia dengan memanfaatkan teknologi CBR (Skripsi, Teknik Informatika).

Winarti, S. (2012). Klinik sistem pendukung keputusan diagnose untuk penyakit kulit (Skripsi, Teknik Informatika).

Published

2024-10-11

How to Cite

Susila Mete, Andreas Ariyanto Rangga, & Agustina Purnami Setiawi. (2024). Penerapan Metode Cased Based Reasoning dalam Mendiagnosa Penyakit TB Paru Berbasis Web: Studi Kasus: PKM Kabukarudi. Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi, 2(4), 73–83. https://doi.org/10.61132/neptunus.v2i4.412

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