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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Prosiding SNATIKA Vol 01 (2011) Nusanatara of Engineering Network Engineering Research Operation [NERO] CogITo Smart Journal Jurnal Sains dan Informatika DoubleClick : Journal of Computer and Information Technology Progresif: Jurnal Ilmiah Komputer Generation Journal Jurnal ABDINUS : Jurnal Pengabdian Nusantara JATI (Jurnal Mahasiswa Teknik Informatika) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknologi dan Riset Terapan (JATRA) Joutica : Journal of Informatic Unisla Jurnal Inkofar Nusantara of Engineering (NOE) Jurnal Maklumatika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi)
Ratih Kumalasari Niswatin
Program Studi Teknik Informatika, Fakultas Teknik, Universitas Nusantara PGRI Kediri
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Transportation

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Journal : Jurnal Sains dan Informatika

 1 
Sistem Diagnosa Diabetes Menggunakan Metode K-NN Ramadhani, Risky Aswi; Niswatin, Ratih Kumalasari
Jurnal Sains dan Informatika Vol 4 No 2 (2018): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (231.233 KB) | DOI: 10.34128/jsi.v4i2.121

Abstract

Diabetes merupakan salah satu induk dari berbagai macam penyakit seperti jantung, gloukoma, jantung dan nefropati. Pada saat ini penderita diabetes di Indonesia mencapai 10 juta, tapi sangat sedikit masyarakat yang menydarai akan penyakit yang dideritanya. Hal ini disebabkan karena jumlah tenaga medis yang sedikit dan tenaga medis hanya terpusat pada Kota-kota besar, sedangkan kota-kota kecil jumlah tenaga medisnya sangat terbatas. Untuk menekan jumlah penderita diabetes dan meningkatkan kesadaran masyarakat akan bahaya diabetes, perlu dibuat sebuah Sistem diagnosa diabetes dengan metode K-NN. Tujuan dari dibangunya sistem diagnosa diabetes, mampu menekan angka penderita diabetes. Untuk membuat racang bangun sistem diagnosa diabetes dengan metode K-NN diperlukan beberapa tahapan utama yaitu membuat DFD Level 0, Level 1, dan ERD. Keywords: Diabetes, Diagnosa, K-NN, Klasifikasi, Rancang Bangun
Penggunaan Algoritma Naive Bayes Untuk Mengevaluasi Prestasi Akademik Mahasiswa Universitas Nusantara PGRI Kediri Farida, Intan Nur; Niswatin, Ratih Kumalasari
Jurnal Sains dan Informatika Vol 3 No 2 (2017): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (291.391 KB) | DOI: 10.34128/jsi.v3i2.113

Abstract

Students' academic activities result in achievements that can be known in each semester until the graduation stage. This study classifies student achievement in the appropriate graduation category or not in the fifth semester. As attributes used include attributes of origin, High School origin, employment and income of parents, Comrade Achievement Index (IPK) and Achievement Index (IP) semesters one to five. The purpose of this study is the application to obtain academic achievement of students Nusantara PGRI Kediri University uses the naïve bayes algorithm. Train data used is the data of student class 2010 to 2012 on the Faculty of Engineering, with a focus on Informatics Engineering courses. Next is calculated using naïve bayes algorithm to classify student achievement. While the test data using student academic data generation 2013. Research results Student's previous academic achievement. This research is useful to know the factors that influence student achievement that can be used to support the making of university policy, for example on the target of new student admission promotion.
Penggunaan Algoritma Naive Bayes Untuk Mengevaluasi Prestasi Akademik Mahasiswa Universitas Nusantara PGRI Kediri Intan Nur Farida; Ratih Kumalasari Niswatin
Jurnal Sains dan Informatika Vol. 3 No. 2 (2017): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v3i2.113

Abstract

Students' academic activities result in achievements that can be known in each semester until the graduation stage. This study classifies student achievement in the appropriate graduation category or not in the fifth semester. As attributes used include attributes of origin, High School origin, employment and income of parents, Comrade Achievement Index (IPK) and Achievement Index (IP) semesters one to five. The purpose of this study is the application to obtain academic achievement of students Nusantara PGRI Kediri University uses the naïve bayes algorithm. Train data used is the data of student class 2010 to 2012 on the Faculty of Engineering, with a focus on Informatics Engineering courses. Next is calculated using naïve bayes algorithm to classify student achievement. While the test data using student academic data generation 2013. Research results Student's previous academic achievement. This research is useful to know the factors that influence student achievement that can be used to support the making of university policy, for example on the target of new student admission promotion.
Sistem Diagnosa Diabetes Menggunakan Metode K-NN Risky Aswi Ramadhani; Ratih Kumalasari Niswatin
Jurnal Sains dan Informatika Vol. 4 No. 2 (2018): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v4i2.121

Abstract

Diabetes merupakan salah satu induk dari berbagai macam penyakit seperti jantung, gloukoma, jantung dan nefropati. Pada saat ini penderita diabetes di Indonesia mencapai 10 juta, tapi sangat sedikit masyarakat yang menydarai akan penyakit yang dideritanya. Hal ini disebabkan karena jumlah tenaga medis yang sedikit dan tenaga medis hanya terpusat pada Kota-kota besar, sedangkan kota-kota kecil jumlah tenaga medisnya sangat terbatas. Untuk menekan jumlah penderita diabetes dan meningkatkan kesadaran masyarakat akan bahaya diabetes, perlu dibuat sebuah Sistem diagnosa diabetes dengan metode K-NN. Tujuan dari dibangunya sistem diagnosa diabetes, mampu menekan angka penderita diabetes. Untuk membuat racang bangun sistem diagnosa diabetes dengan metode K-NN diperlukan beberapa tahapan utama yaitu membuat DFD Level 0, Level 1, dan ERD. Keywords: Diabetes, Diagnosa, K-NN, Klasifikasi, Rancang Bangun
Co-Authors ABIDIN, ZANWAR Adi Wibawa, Maistro Eka Bayu Affandi, M. Rizki Ahmad Bagus Setiawan Ahmad Shiddiq, Ahmad Ahmadi, Yansyah Nurullah Aldiansyah, Ahmad Ilham Alfatih, Muhamad Jallu Anasrudin, Rohman Sulton Ardi Sanjaya Arie Nugroho, Arie Arie, Theo Yan Azhri, M. Fahrur Bagus Fadzerie Robby Bagus Setyo Cahyono Bahrudin, Mochamad Ari Cahyo, Galih Nur Danar Putra Pamungkas, Danar Putra Daniel Swanjaya Diah Nurdiwaty Dwi Akbar, Mohamad Anjas Erna Daniati Fadzerie Robby, Bagus Faisol Faisol Fajar Rohman Hariri Fikriansyah, Mochammad Wildan Finanto, Naufal Firman Syah, Azriel Akbar Ginting, Sri Widyanti Hanggara, Nazil Rizqi Heru Suhartono, Wawan Hidayatullah, Sadam Ibrahim, Rahmad Idris Efendi, Idris Ignatius Juan Hartantiko Intan Nur Farida Jayanto, Andin Dwi Julian Sahertian Krisnawan, Apreado Gilang Kurniawan, Muhammad Akbar Kuswantoro, Moch. Yanuariadin Pujo Larasati, Adelya Dwi Linawati Linawati Ludfie, Miftachul Mahdiyah, Umi Mahesa Difa Ramadhan mohamad ihsan Muhaimin, Mohammad Aqil Muttaqien, Hidayatul Niswatin , Ratih Kumalasari Nugraha, Reza Setya Nugraha, Yoga Adi Nugroho, Hargo Dwi Patmi Kasih Prasetya, Bagus Dwi Prastya, Damar Zanuar Eka Putra, Ilham Permana Quluby, I Burhan Rasi, Yoseph Rikardus Resty Wulanningrum Resty Wulanningrum Restyono, Teddy Rezaldy, Donni Ria Permata Sari Rina Firliana Rini Indriati Rini Indriati Risa Helilintar Risa, Helilintar Risky Aswi R, Risky Rismantoro, Ganang Rizakatama, Moh. Rohman Rony Heri Irawan Salam, Mohammad Ibnu Salfa Kholida Eka Putri Saputra, Nanda Wibi Satria, Akhbar Setiawan, Bangkit Abraham Putra Setiawan, M. Debby Candra Setyowati, Marshela Dewi Se’bianto, Yogik Sihabudin, Erik Siregar, Muhammad Fariz Hardiansyah Surya, Wahyu Baskara Taufiqurrahman Taufiqurrahman Trianto, Bagus Ulfatus Syaidah Valentino, Irgis Prahara Vivi Ratnawati Vivi Wahyuni, Vivi