Faried Effendy

Indra Kharisma Raharjana

Badrus Zaman

Eva Hariyanti

Ira Puspitasari

Nasa Zata Dina

Purbandini

Ahmad Hoirul Basori

Ary Mazharuddin Shiddiqi

Daniel Oranova Siahaan

Diana Purwitasari

Erick Fernando

Javad Khamisabadi

Lanto Ningrayati Amali

Mujiono Sadikin

Nur Aini Rakhmawati

Rimuljo Hendradi

Tanty Oktavia

Ummi Azizah Rachmawati

Journal of Information System Engineering and Business Intelligence (JISEBI) focuses on Information System Engineering and its implementation, Business Intelligence, and its application. JISEBI is an international, peer review, electronic, and open access journal. JISEBI is seeking an original and high-quality manuscript. Information System Engineering is a multidisciplinary approach to all activities in the development and management of information system aiming to achieve organization goals. Business Intelligence (BI) focuses on techniques to transfer raw data into meaningful information for business analysis purposes, such as decision making, identification of new opportunities, and the implementation of business strategy. The goal of BI is to achieve a sustainable competitive advantage for businesses.

Volume 3 Number 2, Oktober 2017

Journal of Information Systems Engineering and Business Intelligence

Ni Luh Wiwik Sri Rahayu Ginantra

Fatimah Nur Arifah

Anggi Hadi Wijaya

Ri Sabti Septarini

Nazaruddin Ahmad

Dewa Putu Yudhi Ardiana

Akbar Iskandar

Hazriani Hazriani

Ika Yusnita Sari

Zelvi Gustiana

Cahyo Prianto

Dudih Gustian

Edi Surya Negara

Perkembangan data yang pesat membutuhkan pengolahan data untuk tidak hanya sekedar menghasilkan informasi namun juga memberikan pengetahuan baru. Proses penggalian/ menambang data dengan teknik yang ada dalam data mining dapat menemukan pola tersembunyi pada data tersebut seperti penggunaan clasifikasi dan clustering. Buku Data Mining dan Penerapan Algoritma ini terdiri dari 14 bab yaitu: Bab 1 Pengenalan Data Mining Bab 2 Proses Knowledge Discovery in Databases (KDD) Bab 3 Arsitektur dan Model Data Mining Bab 4 Jenis Model Data Mining dan Fungsinya Bab 5 Fungsi-Fungsi Data Mining Bab 6 Teknik-Teknik Data Mining Bab 7 Teknik Clustering Dalam Data Mining Bab 8 Eksplorasi Data Bab 9 Analisis Asosiasi Dalam Data Mining Bab 10 Algoritma Data Mining Klasifikasi Menggunakan Naïve Bayes Classifier Bab 11 Algoritma Data Mining Klasifikasi Menggunakan Decision Tree C4.5 Bab 12 Prediksi Menggunakan Regresi Linear Sederhana dan Berganda Bab 13 Association Dengan A Priori Bab 14 Aplikasi dan Tren Data Mining

Data Mining dan Penerapan Algoritma

Faried Effendy

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