Image of KLASIFIKASI TEKS DATA SHORT MESSAGE SERVICES (SMS) BERBAHASA INDONESIA MENGGUNAKAN ARTIFICIAL NEURAL NETWORK

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KLASIFIKASI TEKS DATA SHORT MESSAGE SERVICES (SMS) BERBAHASA INDONESIA MENGGUNAKAN ARTIFICIAL NEURAL NETWORK

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The development of information and communication technology, especially the internet, has created various messaging platforms such as WhatsApp, Line, Messenger, email, and Short Message Services (SMS). Nonetheless, the use of SMS has not been completely replaced by digital messaging apps in Indonesia. Therefore, SMS is still an important part of digital communication in Indonesia. In this context, SMS not only contains informative things, but also contains scams and promos that can harm and disturb the convenience of SMS users themselves. To overcome this, text classification is needed on SMS data, especially those in Indonesian. The main objective of this research is to build a system that is able to classify Indonesian SMS text data using Artificial Neural Network (ANN) into three categories, namely normal, fraud, and promo. The dataset used in this research consists of 1113 SMS that have been labeled and divided into 80% training data and 20% test data. Using the ANN algorithm, this research model achieved an accuracy of 95.5%, and produced an average value of precision 95%, recall 95%, and f1-score 95%. Keywords: Artificial Neural Network, SMS, Spam, Text Classification

Availability
Inventory Code Barcode Call Number Location Status
2407003823T147874T1478742024Central Library (REFERENCES)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1478742024
Publisher
Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer.,
Collation
xiv, VI-2 hlm.; ilus.; tab.; 28 cm
Language
Indonesia
ISBN/ISSN
-
Classification
004.07
Content Type
Text
Media Type
unmediated
Carrier Type
unspecified
Edition
-
Subject(s)
Jaringan Syaraf Tiruan
Prodi Teknik Informatika
Specific Detail Info
-
Statement of Responsibility
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No other version available

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