Search Results - "Kurniabudi"

Ensemble Method for Anomaly Detection On the Internet of Things by Kurniabudi, Kurniabudi, Winanto, Eko Arip, Astri, Lola Yorita, Sharipuddin, Sharipuddin

“… The internet of things generates various types of data traffic with a very large amount of data traffic which has an impact on security issues, one of which…”
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Model Persepsi Penggunaan Media Sosial pada Perkuliahan dengan Modifikasi Task Technology Fit dan Expectation Confirmation Theory by Kurniabudi, Kurniabudi, Assegaff, Setiawan

“…The acceptance of information technology in the field of education becomes an interesting thing to discuss. Successful implementation of information…”
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Seleksi Fitur Dengan Information Gain Untuk Meningkatkan Deteksi Serangan DDoS menggunakan Random Forest by Kurniabudi, Kurniabudi, Harris, Abdul, Rahim, Abdul

“…Tantangan deteksi serangan saat ini adalah jumlah trafik yang besar dan beragam serta hadir jenis serangan baru. Sehingga diperlukan teknik baru untuk…”
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CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection by Kurniabudi, Stiawan, Deris, Darmawijoyo, Bin Idris, Mohd Yazid, Bamhdi, Alwi M., Budiarto, Rahmat

“…Feature selection (FS) is one of the important tasks of data preprocessing in data analytics. The data with a large number of features will affect the…”
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Model Persepsi Penggunaan Media Sosial pada Perkuliahan dengan Modifikasi Task Technology Fit dan Expectation Confirmation Theory by Kurniabudi, Kurniabudi, Assegaff, Setiawan

“…Penerimaan teknologi informasi di bidang pendidikan menjadi hal yang menarik untuk dibahas. Keberhasilan implementasi teknologi informasi untuk mendukung…”
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Persepsi Kesesuaian dan Kepuasan Penggunaan Media Sosial pada Perkuliahan: Pengujian Model by Kurniabudi, Kurniabudi, Assegaf, Setiawan

“…Penerimaan teknologi merupakan faktor penting, untuk keberlanjutan penggunaan sebuah teknologi. Model-model pengukuran telah banyak dikembangkan, namun belum…”
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Improvement of attack detection performance on the internet of things with PSO-search and random forest by Kurniabudi, Stiawan, Deris, Darmawijoyo, Bin Idris, Mohd Yazid, Defit, Sarjon, Triana, Yaya Sudarya, Budiarto, Rahmat

“…The presence of the internet of things allows various smart devices to be connected and interact with each other. Although IoT provides benefits in daily…”
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Analisis Perilaku Penerimaan EDMODO pada Perkuliahan Dengan Model UTAUT by ., Kurniabudi, Assegaff, Setiawan

“…Penggunan perangkat e-learning di STIKOMDB diharapkan dapat meningkatkan efektifitas dan efisiensi pembelajaran. Penelitian ini bertujuan untuk menganalisa…”
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An Approach for Optimizing Ensemble Intrusion Detection Systems by Stiawan, Deris, Heryanto, Ahmad, Bardadi, Ali, Rini, Dian Palupi, Subroto, Imam Much Ibnu, Kurniabudi, Idris, Mohd Yazid Bin, Abdullah, Abdul Hanan, Kerim, Bedine, Budiarto, Rahmat

“…Intrusion Detection System is yet an interesting research topic. With a very large amount of traffic in real-time networks, feature selection techniques that…”
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Barriers factors in contributing knowledge at virtual communities (a literature review) by Assegaff, Setiawan, Kurniabudi

“…This research is focus to identify factors related with people barriers when contributing their knowledge through virtual communities. We apply literature…”
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Development of conceptual model in understanding the role of organizational factor in KMS acceptance by Rohayani, Hetty, Assegaff, Setiawan, Kurniabudi

“…The aim of this study is to develop a conceptual model that could use to understanding the role of organizational factors in KMS acceptance. Theory Technology…”
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Features Extraction on IoT Intrusion Detection System Using Principal Components Analysis (PCA) by Sharipuddin, Purnama, Benni, Kurniabudi, Winanto, Eko Arip, Stiawan, Deris, Hanapi, Darmawiiovo, bin Idris, Mohd Yazid, Budiarto, Rahmat

“…Feature extraction solves the problem of finding the most efficient and comprehensive set of features. A Principle Component Analysis (PCA) feature extraction…”
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Preprocessing and Framework for Unsupervised Anomaly Detection in IoT: Work on Progress by Kurniabudi, Purnama, Benni, Sharipuddin, Stiawan, Deris, Darmawijoyo, Budiarto, Rahmat

“…A robust increasing on smart sensors in Internet of Thing (IoT) results huge and heterogenous data and becomes a challenge in data prepocessing and analysis…”
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Monitoring Connectivity of Internet of Things Device on Zigbee Protocol by Purnama, Benni, Sharipuddin, Kurniabudi, Budiarto, Rahmat, Stiawan, Deris, Hanapi, Darmawijoyo

“…Internet of Things (IoT) networks operators may not be fully aware whether each IoT device in their network is functioning safe enough from cyber-attacks. This…”
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Feature Selection using Chi Square to Improve Attack Detection Classification in IoT Network: Work in Progress by Saputra Elsi, Zulhipni Reno, Stiawan, Deris, Oklilas, Ahmad Fali, Susanto, Kurniabudi, Kunang, Yesi Novaria, Idris, Mohd. Yazid, Budiarto, Rahmat

“…To maintain network security, Intrusion Detection System (IDS) is needed to detect anomaly and attack. Designing proper IDS requires accurate model. This paper…”
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Improving the Anomaly Detection by Combining PSO Search Methods and J48 Algorithm by Kurniabudi, Harris, Abdul, Mintaria, Albertus Edward, Darmawijoyo, Stiawan, Deris, bin Idris, Mohd Yazid, Budiarto, Rahmat

“…The feature selection techniques are used to find the most important and relevant features in a dataset. Therefore, in this study feature selection technique…”
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Measurement of Component Performance (Sensor) on Internet of Thing (IoT) by Sharipuddin, Kurniabudi, Purnama, Benni, Wahyudi, Dimas, Fepiliana, Suryani, Sri, Stiawan, Deris, Darmawijoyo, Budiarto, Rahmat

“…This study presents the testing of several devices (sensors) in obtaining sensor performance, there are several experiments and evaluations of the results…”
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An Approach for Optimizing Ensemble Intrusion Detection Systems by Stiawan, Deris, Heryanto, Ahmad, Bardadi, Ali, Rini, Dian Palupi, Subroto, Imam Much Ibnu, Kurniabudi, Idris, Mohd Yazid Bin, Abdullah, Abdul Hanan, Kerim, Bedine, Budiarto, Rahmat

“…Intrusion Detection System is yet an interesting research topic. With a very large amount of traffic in real-time networks, feature selection techniques that…”
Get full text