Browsing UT - Computer Science by Author "Adisantoso, Julio"
Now showing items 1-20 of 71
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Analisis Berita Hoax Menggunakan Klasifikasi Multinomial Naive Bayes dengan Fitur N-Gram.
Chasbullah, Shaugi | Adisantoso, Julio (2018)Hoax merupakan informasi yang menyesatkan dan dapat merusak kredibilitas dan citra seseorang. Pembuat hoax biasanya menggunakan ancaman untuk mengajak atau memanipulasi orang lain untuk mencegah melakukan suatu tindakan. ... -
Analisis Hoax Menggunakan Seleksi Fitur Chi Square dengan Relevance Feedback
Prasetyo, Suhar | Adisantoso, Julio (2018)Hoax merupakan informasi tidak benar dan berbahaya karena dapat merubah persepsi seseorang dengan menyampaikan informasi palsu sebagai kebenaran dan dapat mengurangi kredibilitas. Pembelajaran mesin dapat digunakan ... -
Analisis Performa Vuforia pada Unity untuk Pengembangan Prototipe Augmented Reality Aplikasi Museum Serangga.
Putra, Kusuma Indra | Asfarian, Auzi | Adisantoso, Julio (2018)Museum Serangga di Institut Pertanian Bogor (IPB) menyimpan banyak jenis serangga. Dengan menggunakan aplikasi interaktif, pengunjung Museum Serangga IPB yang sebelumnya tidak dapat berinteraksi dengan spesimen yang dipajang ... -
Analisis Sentimen Body Shaming pada Kolom Komentar Instagram Berbahasa Indonesia dengan Metode Naive Bayes
Syafitri, Adis Mutiara | Adisantoso, Julio (2022)Instagram merupakan media sosial yang berfungsi untuk berbagi foto maupun video kepada sesama penggunanya. Kurangnya pengetahuan etika dalam bermedia sosial memunculkan permasalahan salah satunya adalah tindak body shaming. ... -
Analisis Sentimen Menggunakan Naive Bayes pada Data Twitter Bahasa Indonesia.
Sholehah, Nida' Annisa | Adisantoso, Julio (2018)Penelitian ini mengklasifikasi analisis sentimen dalam 3 jenis yaitu positif, negatif, dan netral pada data Twitter Bahasa Indonesia yang terkait dengan Institut Pertanian Bogor, IPB, dan Bogor Agricultural University ... -
Analisis Sentimen Twitter dengan Klasifikasi Naïve Bayes menggunakan Seleksi Fitur Mutual Information dan Inverse Document Frequency
Putra, Riky Sutriadi | Adisantoso, Julio (2017)Penelitian ini bertujuan untuk mengklasifikasi data tweet pada Twitter menjadi 3 sentimen yaitu positif, negatif, dan netral. Data yang digunakan dalam penelitian ini sebanyak 3195 yang terdiri atas 1065 tweet positif, ... -
Analysis of Question in Indonesian Language in Question Answering System (QAS).
Kartina | Adisantoso, Julio (2010)Question analysis is the first step in QAS. This step decides the final result of QAS process because the result of question analysis is used to retrieve relevant document and answer entity correctly. The used question ... -
Assessment of e-government in Cambodia and Indonesia by web measure index and web usability
Kriyar, El | Nurhadryani, Yani | Adisantoso, Julio (2011)Electronic-government (e-government) is the way by which the government can communicate and transfer their information and services to citizens and other stakeholders by using Information and Communication Technologies ... -
Clustering Indonesian Documents Using Fuzzy C-Means
Mariam, Isna | Adisantoso, Julio (2011)Document clustering enables a user to have a good overall view of the information contained in the document. Most classical clustering algorithms assign each data to exactly one cluster, thus forming a crisp partition of ... -
Direct Term Feedback pada Temu-Kembali Informasi Bahasa Indonesia Menggunakan Model Bahasa
Anita | Adisantoso, Julio (2012)The large amount of information has triggered the development of search engines to help the users in finding the required information. To retrieve information which is relevant to the users’ needs, the queries should be ... -
Document Classification Using Background Smoothing
Pramurjadi, Andy | Adisantoso, Julio (2010)Naïve Bayes Classifier (NBC) is one of the methods for text or document classification. A common problem that often occurs on NBC method is data sparsity, especially when the size of training data is too small. One way to ... -
Document Classification Using Background Smoothing
Pramurjadi, Andy | Adisantoso, Julio (2010)Naïve Bayes Classifier (NBC) is one of the methods for text or document classification. A common problem that often occurs on NBC method is data sparsity, especially when the size of training data is too small. One way to ... -
Ekspansi kueri berdasarkan kamus dwibahasa menggunakan peluang bersyarat
Samana, Muhammad Awet | Adisantoso, Julio (2011)Query expansion is a technique that can be used to bridge vocabulary gaps between queries and documents in the collection. With query expansion, user will be helped to formulate queries well so that user will optimize the ... -
Ekspansi Kueri Menggunakan Metode Semantic Similarity Retrieval Model (SSRM)
Ismani, Sri Rahayu | Adisantoso, Julio (2012)The main objective of this study was to applied the method of semantic similarity in the proccesed of query expansion in information retrieval systems in the Indonesian language. Selection of partners in selecting candidates ... -
Ekspansi Kueri pada Sistem Temu Kembali Informasi Berbahasa Indonesia menggunakan Kamus Dwibahasa
Sitohang, 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 technique. ... -
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 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 ...