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All Journal Jurnal Teknologi Informasi dan Pendidikan
Iin Ernawati
UPN "Veteran" Jakarta
Computer Science & IT Control & Systems Engineering Education Engineering

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NAIVE BAYES CLASSIFIER DAN SUPPORT VECTOR MACHINE SEBAGAI ALTERNATIF SOLUSI UNTUK TEXT MINING Iin Ernawati
Jurnal Teknologi Informasi dan Pendidikan Vol 12 No 2 (2019): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/tip.v12i2.219

Abstract

This study was conducted to text-based data mining or often called text mining, classification methods commonly used method Naïve bayes classifier (NBC) and support vector machine (SVM). This classification is emphasized for Indonesian language documents, while the relationship between documents is measured by the probability that can be proven with other classification algorithms. This evident from the conclusion that the probability result Naïve Bayes Classifier (NBC) word “party” at least in the economic document and political. Then the result of the algorithm support vector machine (svm) with the word “price” and “kpk” contains in both economic and politic document.
APLIKASI PRODUCT BUNDLING UNTUK MENDUKUNG PENERAPAN ASSOCIATION RULE MINING MENGGUNAKAN FP-GROWTH Iin Ernawati; Nurhafifah Matondang
Jurnal Teknologi Informasi dan Pendidikan Vol 14 No 1 (2021): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/tip.v14i1.355

Abstract

Online media has been proven to gave good impact especially in the business field, for opening and widen access to people and society, and so giving more opportunity to any business broader and easy access through electronic commerce (e-commerce). This is the basic idea for the need to improve business reach for a decorative plants store in Tangerang Area. The association transaction pattern as the outcome of data mining process by implementing the Fp-Growth Algorithm that is injected to a mobile application with the purpose to get the buyer’s shopping pattern, which is also packed as the products bundling promotion media and finally open the opportunity to broaden reach for business and information.
Co-Authors Nurhafifah Matondang