

Tests with a minimum support value of 0.5 and minimum confidence of 0.7 show the same number of patterns between applications built with the SPMF application of 52250 patterns. The final stage of KDD produces 1227 data which is then processed using the FPGrowth algorithm. FP-Growth was chosen because it has a faster data pattern execution rate than the a priori algorithm. Efforts to determine the correlation between programming courses and mathematics courses through one of the association algorithms in data mining, namely the FP-Growth algorithm. The subject that is considered to have a relationship with the programming field is the Mathematics course. , Data Mining: Concepts and Techniques Third.The specification of programming skills is one of the focuses of learning in the Informatics Engineering study program which requires students to understand and get good grades in all courses related to programming. 3, Mei 2015 – Juli 2015įaisal, M Reza, Seri Belajar Data Science Klasifikasi Dengan Bahasa Pemrograman R,, September 2017 Saleh Alfa, 2015, Implementasi Metode Klasifikasi Naïve Bayes Dalam Memprediksi Besarnya Penggunaan Listrik Rumah Tangga, Citec Journal, Vol. Sumber Utama Telekomunikasi), Jurnal SAINTIKOM Vol.15, No. Nofriansyah Dicky ErwansyahKamil RamadhanMukhlis, 2016, Penerapan Data Mining dengan Algoritma Naïve Bayes Clasifier untuk Mengetahui Minat Beli Pelanggan terhadap Kartu Internet XL (Studi Kasus di CV.

Priyanti, Evi 2017, Penerapan Algoritma Naïve Bayes untuk klasifikasi Bakteri Gram Negatif, Jurnal Teknik Komputer Vol 3 No.
#Algoritma pemrograman adalah software#
K., Sankaranarayanan, K., Seena P., 2014, Prediction of DifferentDermatological Conditions Using Naïve Bayesian Classification, International Journal ofAdvanced Research in Computer Science and Software Engineering, Vol 4, No 1, Hal 864868. Sebagai contoh, kamu harus pergi ke luar rumah. Jika tidak, masalah dalam sistem tidak akan terpecahkan. Uniknya, semua aturan di dalamnya harus dilakukan secara urut. Kusumadewi Sri, 2009, Klasifikasi Status Gizi Menggunakan Naïve Bayesian Classification, CommIT, Vol. Menurut laman BBC Bitesize, algoritma adalah sederet aturan, tata cara, dan panduan yang dapat digunakan untuk memecahkan sebuah masalah dalam sistem atau aplikasi. Kumar Krishna Venkata S Kiruthika P: 2015, An Overview of Classification Algorithm in Data mining, International Journal of Advanced Research in Computer and Communication Engineering Vol. Ishtiaq Ahmed Donghai Guan Tae Choong Chung, 2014, SMS Classification Based on Naïve Bayes Classifier and Apriori Algorithm Frequent Itemset, International Journal of Machine Learning and Computing, Vol. Suyanto, Data Mining Untuk Klasifikasi dan Klasterisasi Data, Penerbit Informatika, Bandung, 2017 Larose, Daniel, T, Discovering Knowledge in Data an Introduction to Data Mining, Wiley-Interscience, United States of America, 2005 Kusrini Taufiq, Luthfi Emha, Algoritma Data Mining, Penerbit Andi, Yogyakarta, 2009 The results of this research indicate that with the addition of Cross Validation testing scenario there is an increase of 2% accuracy of the test.
#Algoritma pemrograman adalah series#
The author performs a series of different experimental scenarios / cross validation to perform comparisons that can give a difference in the level of ac-curacy gained from this research.


Naïve Bayes algo-rithm that are used for this research will be discussed as a reference in conducting research. This research predicts on time graduation rates by conducting analysis using data mining classification techniques. Results of the on-time graduation rate prediction research can be used as an information to im-prove the quality and optimization of the education system but it requires a maximum degree of accuracy. Ada banyak bahasa pemrograman yang dapat digunakan seperti bahasa C, C++, Java, Phyton, dan lain-lain. Qualified graduates are of course not only depending on the role of a university but also majors and quality of education as long as students are still in high school / vocational school also plays an important role. Pemrograman adalah suatu cara dalam membuat satu atau menghubungkan lebih dari satu algoritma dengan menggunakan suatu bahasa pemrograman tertentu sehingga menjadi suatu program komputer. To compensate this, the existing educational standards in universities must also be improved, this is a bit much affect the pattern of teaching from universities that produce qualified graduates who can compete in the world of work later and indirectly give a positive impact on the university itself. Data mining, Cross Validation, Naïve Bayes AbstractĮducation at this time is an important requirement in facing the demands of an increasingly advanced era in technolo-gy.
