Rancang Bangun Sistem Informasi Pemantau Kesehatan Balita Menggunakan Sistem Inferensi Fuzzy

  • Boy Jehezkiel Kamanang Mahar Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana
  • I Made Sunia Raharja Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana
  • Gusti Agung Ayu Putri Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana

Abstract

Proper use of Information Technology in the health sector will significantly help the management of information become easier to done, business processes become more effective than before, and most importantly, services for the community can be done more efficiently, better and more accurately. The Indonesian government is eager to become an independent country, and of course, this can be achieved with the optimal next generation of the nation. However, the facts on the ground cause nutritional problems, and malnutrition occurs in Indonesia. Cases of hunger and poor nutrition are not monitored because the current medical record application has not been able to provide information on the nutritional status of children under five automatically. The impact is that many problems about malnutrition and malnutrition are not well monitored given the complete medical record data they have. This study aims to discuss and develop the Toddler Health Monitoring module, which is an additional component in the application of medical records. Fuzzy Tsukamoto's inference method is used to create a reasoning engine that can determine the nutritional health status of toddlers because this method is flexible and improves data on output, it is easier, can be accepted by many people, and it is more suitable to understand by the humans.

References

[1] D. Purnamasari, “Gizi Buruk di Berbagai Wilayah Indonesia,” 2018. [Online]. Available: https://tirto.id/gizi-buruk-di-berbagai-wilayah-indonesia-cDLi. [Accessed: 16-Feb-2019].
[2] F. Thamrin, “STUDI INFERENSI FUZZY TSUKAMOTO UNTUK PENENTUAN FAKTOR PEMBEBANAN TRAFO PLN,” 2012.
[3] E. Sudarmilah, “SISTEM MONITORING PERTUMBUHAN BALITA BERBASIS WEB (KMS ONLINE),” in Fadlilah, Umi Wahyuningsih, Rani Endah, 2011.
[4] K. Ayuningtiyas, F. Saptono, and H. Taufiq, “Sistem Pendukung Keputusan Penanganan Kesehatan Balita Menggunakan Penalaran Fuzzy Mamdani,” in Seminar Nasional Aplikasi Teknologi Informasi (SNATI), 2007, pp. 65–71.
[5] E. Sudarmilah, U. Fadlilah, W. D. Pratisti, and G. G. Giwangkoro, “Prototyping on Web-Based Information System of Toddler’s Growth and Development,” in International Conference on Information Systems for Business Competitiveness (ICISBC), 2013.
[6] N. R. Sari and W. F. Mahmudy, “FUZZY INFERENCE SYSTEM TSUKAMOTO UNTUK MENENTUKAN KELAYAKAN CALON PEGAWAI,” in Seminar Nasional Sistem Informasi Indonesia (SESINDO), 2015, pp. 245–252.
[7] E. S. Sutojo, S Mulyanto, Kecerdasan Buatan. Yogyakarta: Andi Offset, 2011.
[8] M. Hasan and Iqbal, Pokok-pokok Materi Statistik 1. Jakarta: Bumi Aksara, 2009.
[9] S. Kusumadewi and H. Purnomo, Aplikasi Logika Fuzzy untuk Pendukung Keputusan. Yogyakarta: Graha Ilmu, 2004.
Published
2023-06-23
How to Cite
MAHAR, Boy Jehezkiel Kamanang; RAHARJA, I Made Sunia; PUTRI, Gusti Agung Ayu. Rancang Bangun Sistem Informasi Pemantau Kesehatan Balita Menggunakan Sistem Inferensi Fuzzy. JITTER : Jurnal Ilmiah Teknologi dan Komputer, [S.l.], v. 4, n. 2, p. 1755-1765, june 2023. ISSN 2747-1233. Available at: <https://ojs.unud.ac.id/index.php/jitter/article/view/103162>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.24843/JTRTI.2023.v04.i02.p10.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.