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All Journal InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) Jurnal Nasional Komputasi dan Teknologi Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Information System, Applied, Management, Accounting and Research Akrab Juara : Jurnal Ilmu-ilmu Sosial STUDI PELAKSANAAN SELFMEDICATION PADA PENDERITA DIARE BERDASARKAN TINGKAT PENGETAHUAN MASYARAKAT PESISIR KECAMATAN SOROPIA KABUPATEN KONAWE J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat Formosa (JPMF) SATIN - Sains dan Teknologi Informasi Jurnal Pengabdian Kepada Masyarakat Radisi
Jefina Tri Kumalasari
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Medicine & Pharmacology Public Health Social Sciences

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Journal : Akrab Juara : Jurnal Ilmu-ilmu Sosial

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PENERAPAN METODE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM UNTUK PENENTUAN SISWA PENERIMA KARTU INDONESIA PINTAR Jefina Tri Kumalasari
Jurnal Akrab Juara Vol 4 No 5 (2019)
Publisher : Yayasan Akrab Pekanbaru

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Abstract

Abstract The Smart Indonesia Card is part of President Joko Widodo's policy for vulnerable and poor poor families who want to provide good education to children without fees. The age of the child is borne by the cost of education is from the age of 6 to 18 years. With this KIP program, it is expected that the dropout rate it can go down drastically. Subjectivity can occur in decision making as a result of inaccurate data. So that there is unclear decision making based on the description, so we need a system to facilitate the determination of students who are entitled to use the Indonesia Smart Card where decisions are at school, the researchers use the Adaptive Neural Fuzzy Inference System (ANFIS) method to create a system after inputting data on certain variables which will result in whether students have the right to be considered for KIP or not. Tests show that the type of membership function with a hybrid algorithm with the input parameter "trimf" or triangle can produce the level of guess closest to the real conditions in the field, with Root Mean Square Error 9.6902e-007.
Co-Authors Agustiena Merdekawati, Agustiena Ahmad Abdurohim Azis Sukma Dhiana Irwin Sukrisno Sugeng Kebenaran Wau Susi Wahyu Lestari Tara Adrilia Salsabila Wida Prima Mustika Wida Prima Mustika Yuni Fitriani