Browsing UT - Computer Science by Author "Adisantoso, Julio"
Now showing items 21-40 of 99
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Ekspansi kueri pada sistem temu kembali informasi berbahasa Indonesia menggunakan kamus dwibahasa
Sihotang, Netty Laora | Adisantoso, Julio (2009)The most frequent problem on information retrieval is the users inability in representing information they need, in a query form. Thus, one of the solutions to overcome such situation is by applying query expansion ... -
Ekstraksi video dan substraksi citra untuk sistem pengawas keamanan
Ramdhani, Tosan Wiar | Adisantoso, Julio | Ardiansyah, Firman (2004)Dalam suatu sistem pengawas keamanan yang menggunakan kamera pengawas, kecermatan pengawasan sangat diperlukan. Terjadinya kelalaian pengawasan dapat berakibat fatal seperti hilangnya suatu obyek berharga yang diamati. ... -
Implementasi Question Answering System pada Dokumen Bahasa Indonesia Menggunakan Metode N-Gram
Rahmawan, Fandi | Adisantoso, Julio (2011)Recent development on Question Answering System (QAS) can accommodate language modeling mechanism for generating a better result. To develop the system, we use Indri Framework toolkit in order to obtain robust document ... -
Implementasi Support Vector Machine (SVM) Untuk Klasifikasi Dokumen
Pratama, Dealis Hendra | Adisantoso, Julio (2013)Document classification is the process of grouping documents into specific categories that have been defined previously. In the real world, the distribution of the data is generally non-linear, which means the distribution ... -
Implementation of Question Answering System for Document in Bahasa Indonesia with List Question
Umriadi, Agus | Adisantoso, Julio (2011)In the last few years, many studies of Question Answering System (QAS) have been conducted by a number of research groups around the world. Lately, a question is not only presented in the form of factoid questions, but ... -
Klasifikasi artikel berita menggunakan metode naive Bayes classifier
Susanto, Ahmad Baskoro Pudyokusumo | Adisantoso, Julio (2015)Banyaknya artikel berita yang diterbitkan membuat pengelompokkan berita sulit dilakukan dan rentan kesalahan. Salah satu cara untuk mempermudah pengelompokan adalah menggunakan model klasifikasi. Tujuan penelitian ini ... -
Klasifikasi Dokumen Bahasa Indonesia Menggunakan Adaptive Classifier Combination (ACC)
Aziza, Muthia | Adisantoso, Julio (2012)Search engine is a tool to find an information that match with user’s request based on query or keywords. However, the query of search engine often shows irrelevance sites that didn’t match with user’s desire. Classification ... -
Klasifikasi Dokumen Bahasa Indonesia Menggunakan Metode Semantic Smoothing
Ramadhina, Aprilia | Adisantoso, Julio (2011)The first supervised learning method for document classification is Naive Bayes classifier. A common problem that often occurs on simple methods like Naive Bayes is data sparsity. This problem especially occurs when the ... -
Klasifikasi Dokumen Bahasa Indonesia Menggunakan Semantic Smoothing dengan Ekstraksi Ciri Chi-square
Saputra, Nofel | Adisantoso, Julio (2012)One of supervised learning methods for document classification is Naive Bayes classifier. A common problem that often occurs on simple method like naive bayes is data sparsity. This problem especially occurs when the size ... -
Klasifikasi Dokumen Berita Menggunakan Metode Support Vector Machine dengan Kernel Radial Basis Function
Hutomo, Adyatma Bhaskara | Adisantoso, Julio (2014)Every day the number of text documents, especially online news documents increase. As a result, it is more difficult for information seekers in obtaining the desired information. This problem requires a text processing ... -
Klasifikasi Dokumen Berita Menggunakan Metode Support Vector Machine dengan Kernel Radial Basis Function
Hutomo, Adyatma Bhaskara | Adisantoso, Julio (2014)Every day the number of text documents, especially online news documents increase. As a result, it is more difficult for information seekers in obtaining the desired information. This problem requires a text processing ... -
Klasifikasi Dokumen Menggunakan Metode Rocchio Dengan Pemilihan Fitur Menggunakan Chi-square
Ramdani, R. Ananda Rizki | Adisantoso, Julio (2014)The drawback of document classification technique of a classification system is the significant increase of efforts when the contents of each document are large. One way to improve the performance of the classification ... -
Klasifikasi Dokumen Teks Menggunakan Metode Support Vector Machine dengan Pemilihan Fitur Chi-Square.
Putri, Arini Daribti | Adisantoso, Julio (2013)Increasing number of documents makes people more difficult to obtain the information which they desired. This problem requires text processing techniques to organize the documents in accordance with the categories. One of ... -
Mesin Pencari Dokumen Bahasa Indonesia Menggunakan Latent Semantic Indexing dengan Pembobotan Global
Handayani, Susi | Adisantoso, Julio (2012)Current users tend to like search engine based on semantic of word. This is caused by the existence of synonymy and polysemy problems in the selection of the use of the word. One technique to resolve these issue is Latent ... -
Mesin Pencari SMS berbasis Android dengan Menggunakan Metode N-gram
Pramudia, Rizky Utama | Adisantoso, Julio (2013)Search engines Short-Messaging Service (SMS) on mobile devices are still using the exact match method. This method can only find SMS containing words, which one exact matches of the query. Therefore, a method to correct ... -
Metode Klasifikasi Decision Tree untuk Analisis Hoax.
Arzia, Kania Latansa | Adisantoso, Julio (2018)Hoax merupakan informasi sesat yang dapat menyesatkan persepsi manusia dengan menyampaikan informasi palsu sebagai kebenaran (Chen et al. 2014). Perkembangan teknologi informasi turut serta mendorong penyebaran berita ... -
Metode Klasifikasi K-Nearest Neighbor untuk Analisis Hoax.
Amin, Ahmad Isyfa'lana | Adisantoso, Julio (2019)Hoax adalah informasi sesat dan berbahaya yang dapat menyesatkan persepsi manusia dengan menyampaikan informasi palsu sebagai kebenaran. Hoax mampu mempengaruhi banyak orang dengan menodai suatu citra dan kredibilitas. Salah ... -
Metode Klasifikasi Rocchio untuk Analisis Hoax
Afriza, Aulia | Adisantoso, Julio (2018)Hoax adalah informasi sesat dan berbahaya karena menyesatkan persepsi manusia dengan menyampaikan informasi palsu sebagai kebenaran. Hoax sendiri dapat bertujuan untuk mempengaruhi pembaca dengan informasi palsu ... -
Metode Pembobotan Kata Berbasis Sebaran untuk Temu Kembali Informasi Dokumen Bahasa Indonesia
Sari, Putri Dewi Purnama | Adisantoso, Julio (2012)Term weight algorithm plays an important role in the process of document searching, which is greatly influenced by the precision and recall results of the Search Engine. Currently, TF-IDF term weight algorithm is widely ... -
Metode Pemilihan Fitur Dokumen Bahasa Indonesia yang Terkelompok pada Mesin Pencari
Rahmadina, Fitria | Adisantoso, Julio (2013)The large amount of information particularly in the form of large quantities of documents will required a large amount of time and effort to search if done manually. On a vector space, documents are represented by terms. ...