ac

The Implementation of Fuzzy Logic Algorithm In Android-Based Typhoid Fever Diagnostic Application

Authors

  • Suryani Universitas Dipa Makassar
  • Ahyuna Universitas Dipa Makassar
  • Magfirah Universitas Dipa Makassar
  • Michael Oktavianus Universitas Dipa Makassar
  • Erni Marlina Universitas Dipa Makassar
  • Asrul Syam Universitas Dipa Makassar
  • Faizal Universitas Dipa Makassar

DOI:

10.47709/cnahpc.v5i1.2064

Keywords:

Typhoid fever, Diagnosis, Application, Android, Fuzzy Logic

Dimension Badge Record



Abstract

Typhoid fever is an infectious disease that causes death in Indonesia. This endemic disease has a high incidence rate and is a health problem related to the environment and sanitation. Problems due to limited time to consult directly with specialist doctors, it is not easy to consult with doctors at any time, and limited medical knowledge and experience, so it is difficult for the community to know and make an early diagnosis of the disease with symptoms of typhoid fever. This study created an Android-based application using a fuzzy logic algorithm for diagnosing typhoid fever. The application was built by adopting expert knowledge related to general and clinical symptoms that are often experienced by patients with typhoid fever, and data on the level of typhoid disease. Data collection was carried out through direct observation at the hospital and direct interviews with doctors. The data was processed to produce output in the form of diagnostic results and solution data recommended by the system. The application consists of 3 user levels, namely Admin who can process user data, Users who can diagnose their disease by inputting answers to questions in the application, and Experts who can process symptom data, disease level, and solution data. The research results are in the form of an application that can be used anytime as an alternative consultant that helps the community in diagnosing typhoid fever with output in the form of diagnostic results (negative typhoid, positive typhoid, or strong positive typhoid).

Downloads

Download data is not yet available.
Google Scholar Cite Analysis
Abstract viewed = 207 times

References

Ardiaria, M. (2019). Epidemiologi, Manifestasi Klinis, Dan Penatalaksanaan Demam Tifoid. JNH (Journal of Nutrition and Health), 7(2), 32–38.

Chasshidi, T. A., & Putra, M. R. (2021). Sistem Pakar Untuk Mendiagnosa Penyakit Pneumonia Menggunakan Metode Certainty Factor Dan Fuzzy Logic Tsukamoto Berbasis Web. Jurnal KomtekInfo, 8(2). https://doi.org/10.35134/komtekinfo.v7i4

Christian, Y., & Yusuf, Y. (2022). Perancangan Aplikasi Directory Berbasis Hybrid Dengan Metode Scrum (Case: Grand Batam Mall). Jurnal Ilmiah Teknologi Informasi Dan Komunikasi (JTIK), 13(1), 33–44. http://ejurnal.provisi.ac.id/index.php/JTIKP?page33

Debora Mait, C., Armando Watuseke, J., David Gibrael Saerang, P., Reynaldo Joshua, S., & Sam Ratulangi, U. (2022). Sistem Pendukung Keputusan Menggunakan Fuzzy Logic Tahani Untuk Penentuan Golongan Obat Sesuai Dengan. Jurnal Media Infotama, 18(2), 344–353.

Ismail, R., Surorejo, S., & Septiana, P. (2022). Systematic Literature Review: Penerapan Metode Fuzzy Logic Dalam Sistem Pakar. Indonesian Journal of Informatics and Research, 3(2), 47–53. https://ieeexplore.ieee.org/

Kurniati, N. I., Reza El Akbar, R., & Wijaksonoc, P. (2019). Penerapan Metode Fuzzy Tsukamoto pada Sistem Pakar untuk Mendiagnosa Autisme Pada Anak. Innovation in Research on Informatics (INNOVATICS), 1(1), 21–27.

Novia Rahma, A., Suryani, I., & Sari, Y. (2020). Penerapan Logika Fuzzy Dalam Menentukan Jumlah Peserta Bpjs Kesehatan Menggunakan Fuzzy Inference System Sugeno. Jurnal Lebesgue?: Jurnal Ilmiah Pendidikan Matematika, Matematika Dan Statistika, 1(3), 182–192. https://doi.org/10.46306/lb.v1i3

Nurmansyah, D., Analis Kesehatan Klinikal, J., Analis Kesehatan Borneo Lestari, A., Selatan, K., Studi Farmasi, P., Mipa, F., Lambung Mangkurat, U., Selatan Jalan Kelapa Sawit, K., Berkat No, B., & Juli, D. (2020). REVIEW?: Patogenesis Dan Diagnosa Laboratorium Demam Tifoid. Klinikal Sains: Jurnal Analis Kesehatan, 8(2), 51–61. http://jurnal.univrab.ac.id/index.php/klinikal

Parlika, R., Ardhian Nisaa’, T., Ningrum, S. M., & Haque, B. A. (2020). Studi Literatur Kekurangan dan Kelebihan Pengujian Black Box. TEKNOMATIKA, 10(02), 131–140.

Rahimi, A., Irmella Tarigan, A., & Lubis, A. (2021). Penatalaksanaan Pasien Demam Tifoid Rawat Inap Di Rsud H. Abdul Manan Simatupang Kisaran. In Jurnal Kesmas Prima Indonesia (Vol. 3, Issue 1).

Ratama, N., & Munawaroh, M. (2020). Implementasi Metode Fuzzy Tsukamoto Untuk Deteksi Dini Autisme Pada Balita Berbasis Android. Jurnal Informatika & Rekayasa Elektronika (JIRE), 3(2), 129–139. http://e-journal.stmiklombok.ac.id/index.php/jire

Sigani, N., Andi Masse, B., & Nurdin, N. (2019). Sistem Pakar Untuk Mendiagnosa Penyakit Mata Manusia Menggunakan Metode Fuzzy Logic. Jurnal Elektronik Sistem Informasi Dan Komputer, 5(1), 26–31.

Sinaga, M. D., Sembiring, N. S. Br., Sianturi, C. J. M., & Sianturi, C. J. M. (2021). Penerapan Metode Fuzzy Tsukamoto Untuk Mendiagnosa Penyakit Leptospirosis. CSRID (Computer Science Research and Its Development Journal), 12(2), 98. https://doi.org/10.22303/csrid.12.2.2020.98-106

Wahid, A. A. (2020). Analisis Metode Waterfall Untuk Pengembangan Sistem Informasi. Jurnal Ilmu-Ilmu Informatika Dan Manajemen STMIK, 1–5.

Zamri, M., Pandia, H., Mahara Asat, S., Teknik, F., Abdurrab, U., Riau Ujung No, J., Hitam, A., Sekaki, P., Payung Sekaki, K., & Pekanbaru, K. (2022). Sistem Pakar Diagnosa Penyakit Maag dan Usus Buntu Berbasis Web. JEKIN-Jurnal Teknik Informatika, 2(1), 24–34

Downloads

ARTICLE Published HISTORY

Submitted Date: 2023-01-31
Accepted Date: 2023-01-31
Published Date: 2023-02-01

How to Cite

Suryani, Ahyuna, Magfirah, Oktavianus, M., Marlina, E. ., Syam, A., & Faizal. (2023). The Implementation of Fuzzy Logic Algorithm In Android-Based Typhoid Fever Diagnostic Application . Journal of Computer Networks, Architecture and High Performance Computing, 5(1), 160-170. https://doi.org/10.47709/cnahpc.v5i1.2064