Browsing UT - Computer Science by Title
Now showing items 640-659 of 2254
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Klasifikasi Data Gempa Bumi menggunakan Algoritme Pohon Keputusan C5.0.
(2018)Gempa bumi adalah pergerakan mendadak dari lempeng bumi yang disebabkan oleh pelepasan tekanan yang terakumulasi sepanjang patahan geologis secara tiba-tiba. Indonesia memiliki kondisi geologis rawan gempa bumi ... -
Klasifikasi Data Spasial untuk Kemunculan Hotspot di Provinsi Riau Menggunakan Algoritme ID3
(2014)Forest fire is one of the environmental issues that occurs almost every year in Indonesia including in Riau Province, which causes negative impacts for human life. The large data of hotspot distribution can be analyzed ... -
Klasifikasi Data Titik Api di Bengkalis Riau Menggunakan Algoritme Pohon Keputusan Berbasis Spatial Entropy
(2014)Forest fire can be monitored using satellite by detecting hotspots as fire indicators at certain times and locations. The purpose of this research is to develop a decision tree for predicting hotspot occurences in Bengkalis ... -
Klasifikasi Debitur Kartu Kredit dengan Pemilihan Fitur Menggunakan Voting Feature Intervals 5
(2013)Provision of credit cards for customers is one of the ways to obtain profit in banking activities which cause risks of losses if the customer frequently delinquent the payments. Therefore, it is important to know the banking ... -
Klasifikasi Debitur Kartu Kredit Menggunakan Algoritme K-Nearest Neighbor untuk Kasus Imbalanced Data
(2013)Data is said to suffer the class imbalanced problem when the class distribution are highly imbalance. In this case, minority class is more difficult to predict then the majority class. Though the minority class sometime ... -
Klasifikasi Debitur Kartu Kredit Menggunakan Algoritme Support Vector Machine Linear Kernel untuk Kasus Imbalanced Data
(2014)In this research, classification analysis of credit card debtors is conducted by using support vector machine linear kernel that can classify debtors into two categories good or bad. The data used in this research is ... -
Klasifikasi Dokumen Bahasa Indonesia Menggunakan Adaptive Classifier Combination (ACC)
(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 Dynamic Classifier Selection with Local Accuracies
(2010)Dynamic classifier selection with local accuracies (DCS-LA) uses k-Nearest Neighbor (kNN) to combine multiple classifiers. The purpose of this research is to compare classification performance using single classifiers ... -
Klasifikasi Dokumen Bahasa Indonesia Menggunakan Metode Semantic Smoothing
(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
(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
(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
(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
(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.
(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 ... -
Klasifikasi Dokumen Tumbuhan Obat Berbasis Famili Menggunakan Probalistic Neural Network
(2013)This research presents a system for the extraction of features and classification of the document medicinal plants using the chi-square method and neural network classification probalistic. Automation family identification ... -
Klasifikasi Dokumen Tumbuhan Obat menggunakan Algoritma KNN Fuzzy
(2011)Many documents about the medicinal plants are not fully utilized because of difficulty finding information. Computational techniques in the form of search engine may be one solution to solve the issue. This research proposed ... -
Klasifikasi Formula Jamu Berdasarkan Khasiat Menggunakan Oblique Decision Tree dengan Optimasi Menggunakan Algoritme Genetika
(2014)Indonesia is rich in biodiversity, consisting of a wide variety of medicinal plants. However, the use of plants as a medicinal or herbal medicine is still limited. It is difficult to find the information of medicinal plants ... -
Klasifikasi Fragmen Metagenom Menggunakan Ekstraksi Spaced N mers dan Probabilistic Neural Network sebagai Classifier
(2015)Metagenomika merupakan cabang genetika yang secara khusus ditujukan untuk mempelajari materi genetik yang diambil langsung dari sampel lingkungan, diikuti dengan menganalisis informasi genetika tersebut. Proses sekuensing ... -
Klasifikasi Fragmen Metagenom menggunakan Fitur Spaced N-Mers dan K-Nearest Neighbour
(2014)Metagenome is a study of total DNA from some environmental sources that are directly isolated. The study is conducted by reading the entire DNA of a complete ecosystem (not just one organism). Metagenome refers to the ... -
Klasifikasi Fragmen Metagenom Menggunakan Metode Probabilistic Neural Network (PNN)
(2015)Teknologi pada bidang bioinformatika terus berkembang, khususnya untuk analisis metagenom. Metagenom merupakan komunitas mikrob genom yang sampelnya diambil langsung dari lingkungan. Fragmen metagenom yang dihasilkan dari ...