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Aah Sumiah
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Computer Science & IT

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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
RANCANG BANGUN APLIKASI PENGGALANGAN DANA MENGGUNAKAN ALGORITMA REVERSE COLUSSI BERBASIS WEB Riki Yuspika; aah sumiah; tito sugiharto
NUANSA INFORMATIKA Vol 11, No 2 (2017)
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (833.482 KB) | DOI: 10.25134/nuansa.v11i2.1213

Abstract

Along with the development era of ease in doing an activity is increasing, such as in fund raising for natural disasters that occur around the environment even in other environments. The fundraising process is commonly done conventionally or by way of direct descent into the street. The conventional fundraising process has a deficiency in terms of effectiveness because of the large number of members who have to go down the road and the lack of transparency of incoming funds due to no publication of reports, not yet computerized reports of fundraising results. Therefore it is necessary for a media that can assist in the process of fundraising to facilitate the conduct of fundraising. Website creation by implementing Algorithm can improve the function of the website, Revese Colussi Algorithm as String Matching Algorithm can be implemented in a search in website so that search can be more effective. Research methodology of software development used in this research is RUP (Rational Unified Process). In this peneliltian writer using PHP programming language with Dream Weaver as its editor, besides writer use PHP MySQL as database. And for the testing process using Black Box Testing and White Box Testing.Keywords: Fundraising, String Matching Algorithm, Reverse Colussi Algorithm, Rational Unified Process, PHP, PHP MySQL, Black Box Testing, White Box Testing
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 Dede Irawan Fauziah . Riki Yuspika Siti Maesyaroh Tito Sugiharto