FUZZY INFERENCE SYTEM TSUKAMOTO UNTUK PENENTUAN PENERIMA JAMKESMAS DENGAN MICROSOFT VISUAL BASIC DAN MYSQL

M Ghofar Rahman

Sari


The problem that existed in the health service agency in this case is the health center, namely the determination of the recipient of public health insurance (Jamkesmas), although in practice the determination of recipients Jamkesmas already using the computer, but only limited to the support and there is no system that can be used to support the retrieval Decisions based on existing variables. The decision support system for determining the members of Jamkesmas recipients, where the system is used to help determine the recipients of Jamkesmas to be provided in accordance with their respective groups to accelerate the work of determining the provision of Jamkesmas. The system can assist the puskesmas in determining the members of Jamkesmas beneficiaries in accordance with the appropriate class to the community who want to become the members of Jamkesmas beneficiaries at the Puskesmas. This decision support system using the Fuzzy Tsukamoto Method, which will provide a decision solution to the puskesmas in determining the members of the public health insurance (Jamkesmas).

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Referensi


Ahdiyana, Marita dan Wasiti. 2013. Implementasi Program Jaminan Kesehatan Masyarakat (Jamkesmas) di Kabupaten Bantul. Yogyakarta. Tersedia Online Diakses pada http://journal.uny.ac.id/index.php/natapraja/article/download/3192/2675 (Rabu 1 Februari 2017)

Ariani, Fenty and Endra, Robby Yuli. 2013. Implementation Of Fuzzy Inference System With Tsukamoto Method For Study Programme Selection. Lampung. 2nd International Conference on Engineering and Technology Development (ICETD 2013) Universitas Bandar Lampung Faculty of Engineering and Faculty of Computer Science. ISSN 2301-6590

Departemen kesehatan RI, 2008, Pedoman Pelaksanaan Jaminan Kesehatan Masyarakat 2008, Departemen Kesehatan RI, Jakarta.

Departemen kesehatan RI, 2011, Pedoman Pelaksanaan Jaminan Kesehatan Masyarakat 2011, Departemen Kesehatan RI, Jakarta.

Rusmawan, Uus. 2013. Cara Cepat Belajar VB.Net. PT. Elex Media Komputindo. Jakarta.

Turban. Efraim, Aronson. Jay E., and Ting-peng Liang. 2005. Decision Support System and Intelligent System. Andi, vol. VII. Yogyakarta.

Ihsan, Ahmad. 2012. Penentuan Nominal Beasiswa yang diterima Siswa Dengan Metode Logika Fuzzy Tsukamoto. Jurnal Ilmiah Ilmu Komputer, 8(2). (Online). tersedia: (http://dspace.library.uph.edu:8080/bitstream/123456789/892/2/jiik-08-02-2012-penentuan_nominal_beasiswa_yang.pdf), diunduh 1 Februari 2017.

Farouq, Kemal. 2014. Penerapan Fuzzy Tsukamoto Dalam Pengangkatan Jabatan Pegawai di BKD Lamongan. Jurnal Teknika, 6(2). (Online). Tersedia: (http://www.e-jurnal.com/2015/11/penerapan-fuzzy-tsukamoto-dalam.html), diunduh 1 Februari 2017.

Sri Kusumadewi & Hari Purnomo. 2004. Aplikasi Logika Fuzzy Untuk Sistem Pendukung Keputusan Edisi Pertama. Graha Ilmu. Yogyakarta.

Rakhman, A.Z.,dkk., 2012, Fuzzy Inference System Dengan Metode Tsukamoto Sebagai Pemberi Saran Pemilihan Konsentrasi (Studi Kasus: Jurusan Teknik Informatika UII), Prosiding Seminar Nasional Aplikasi Teknologi Informasi 2012 (SNATI 2012), Yogyakarta.




DOI: https://doi.org/10.30736/jti.v2i1.28