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All Journal Jurnal Pendidikan dan Pembelajaran Nuansa Informatika Jurnal Administrasi Pendidikan : Program Pascasarjana Unsyiah JURNAL HANDAYANI PGSD FIP UNIMED
Fauziah .
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Journal : Nuansa Informatika

 1 
PERANCANGAN DATA WAREHOUSE DAN PENERAPAN DATA MINING UNTUK MENDUKUNG SISTEM INFORMASI AKADEMIK UNIVERSITAS KUNINGAN Aah Sumiah; Dede Irawan; Fauziah .
NUANSA INFORMATIKA Vol 7, No 02 (2012)
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/nuansa.v7i02.64

Abstract

Good quality education is a goal to be achieved by any educational institution. In the world of education dynamically evolving the required educational institutions to improve the quality of education and graduates. To achieve this goal each competing institution to produce a model of innovation and education. Institutions can utilize the availability of appropriate information very influential in increasing the quality of service to students and help produce the right business decisions. The purpose of this study was to produce a model of the data warehouse Brass University Academic Information Systems and generate patterns of data mining to the data admission to prospective students determine possible re-register or not so if the resignation of incoming freshmen are expected to be known early will help the management campus to take the actions necessary to maintain the prospective student. This Tstudy used two models that modeling techniques for data warehouse star schema model and decision tree  classification technique for data mining
PROTOTIPE KNOWLEDGE MANAGEMENT SYSTEM DENGAN MENGGUNAKAN METODE KMD DAN SECI Fauziah .
NUANSA INFORMATIKA Vol 9, No 2 (2015)
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (14057.172 KB) | DOI: 10.25134/nuansa.v9i2.223

Abstract

AbstractIn the world of education, we need some understanding about learning process between teacher and students. A teacher as educator is demanded to be able to communicate to the students using konvensional or infromation technology media. The teacher can use Knowledge management from the school in the learning process. Knowledge management gives solution from the knowledge management system so that the students at school can improve their skills without any boundaries. Penelitian ini is to find a model of Knowledge management system which is suitable for the needs of students of SMA Pertiwi. The system applied by teachers has the same goals among teachers now or in the next future. Teachers’ knowledge  influence the learning process at school. This research uses Data Analysis System from Knowledge Management Diagnostic from Bukowitz and SECI from Nonaka. I also use desain using UML and Framework CI. Analysis of test result dan the prototipe used at school will make the learning process more effective and efficient especially in the knowledge management system for sharing knowledge.
SISTEM INFORMASI KLASIFIKASI LATAR BELAKANG MAHASISWA BERDASARKAN PRESTASI AKADEMIKNYA MENGGUNAKAN TEKNIK DECISSION TREE STUDI KASUS : UNIVERSITAS KUNINGAN Aah Sumiah; Siti Maesyaroh; Fauziah .
NUANSA INFORMATIKA Vol 8, No 2 (2014)
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.72 KB) | DOI: 10.25134/nuansa.v8i2.275

Abstract

Salah Satu proses akademik untuk masuk ke sebuah perguruan tinggi  adalah melalui proses Penerimaan Mahasiswa Baru. Dalam proses ini diberikan ujian dan proses tes potensi akademik yang digunakan untuk mengukur kemampuan mahasiwa dalam berbagai bidang ilmu pengetahuan. Jika calon mahasiswa bisa melewati ujian dengan hasil yang bagus maka calon mahasiswa akan diterima sebagai mahasiswa sesuai dengan fakultas yang pilihnya dan jika tidak maka calon mahasiswa dinyatakan gagal dalam ujian. Proses seleksi calon mahasiswa baru yang dilakukan oleh universitas kuningan meliputi tes bahasa inggris, tes kemampuan potensi akademik, dan tes wawancara. Yang menjadi pertanyaan adalah apakah ketika mahasiswa mampu mengikuti ujian tes yang diselenggarakan pada awal Penerimaan Mahasiswa Baru dengan hasil bagus apakah kemudian berarti mahasiswa tersebut juga mampu menyelesaikan studinya dengan hasil yang bagus juga. Hal ini lah yang kemudian mendasari penelitian ini.Tujuan Penelitian ini adalah untuk menghasilkan pola data mining pada Penerimaan Mahasiswa Baru untuk memprediksi prestasi akademik mahasiswa berdasarkan latar belakangnya dan mengimplementasikanya ke dalam sebuah sistem informasi berupa program aplikasi yang dapat digunakan pihak lembaga untuk mengambil keputusan menerima atau tidaknya calon mahasiswa.Penelitian ini menggunakan data mining model classification dengan teknik decision tree menggunakan algoritma C.45 dan implementasi program menggunakan visual basic.net. Keyword :  sistem informasi, data mining, classification, decision tree, algoritma C.45, visual basic.net
PERANCANGAN DATA WAREHOUSE DAN PENERAPAN DATA MINING UNTUK MENDUKUNG SISTEM INFORMASI AKADEMIK UNIVERSITAS KUNINGAN Aah Sumiah; Dede Irawan; Fauziah .
NUANSA INFORMATIKA Vol 8, No 1 (2013)
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (247.06 KB) | DOI: 10.25134/nuansa.v8i1.276

Abstract

Good quality education is a goal to be achieved by any educational institution. In the world of education dynamically evolving the required educational institutions to improve the quality of education and graduates. To achieve this goal each competing institution to produce a model of innovation and education. Institutions can utilize the availability of appropriate information very influential in increasing the quality of service to students and help produce the right business decisions. The purpose of this study was to produce a model of the data warehouse Brass University Academic Information Systems and generate patterns of data mining to the data admission to prospective students determine possible re-register or not so if the resignation of incoming freshmen are expected to be known early will help the management campus to take the actions necessary to maintain the prospective student. This Tstudy used two models that modeling techniques for data warehouse star schema model and decision tree  classification technique for data mining. Keyword: Data warehouse, data mining, classification, and decision tree
Co-Authors Aah Sumiah Aah Sumiah Dede Irawan Djailani . Maridjo AH Murniati Ar Nurpipah F34211360 Rosnah Hasan Rukiah F.34211379 Siti Maesyaroh Suhartini T Supardi F34211410 Zubaidah F34211444