Items where Division is "S1-Information System (S1-Sistem Informasi)" and Year is 2018

Aida Husaini, Noor and Ghazali, Rozaida and Tri Riyadi Yanto, Iwan (2018) Enhancing Modified Cuckoo Search Algorithm by Using MCMC Random Walk. [Artikel Dosen]

Anwar Lashari, Saima and Ibrahim, Rosziati and Senan, Norhalina and Tri Riyadi Yanto, Iwan and Herawan, Tutut (2018) Application of Wavelet de-noising Filters in Mammogram Images Classification Using Fuzzy Soft Set. [Artikel Dosen]

Irsalinda, Nursyifa and Tri Riyadi Yanto, Iwan and Herawan, Tutut (2018) A Framework of Clustering Based on Chicken Swarm Optimization. [Artikel Dosen]

Riadi, Imam (2018) Hasil cek similarity "Colorectal Polyp Detection Using Feedforward Neural Network with Image Feature Selection". International Symposium on Advanced Intelligent Informatics (SAIN).

Saadi, Younes and Herawan, Tutut and Balakrishnan, Vimala and Risnumawan, Anhar and Tri Riyadi Yanto, Iwan and Chiroma, Haruna (2018) Ringed Seal Search for Global Optimization via a Sensitive Search Model. [Artikel Dosen]

Suhirman, Suhirman and Mohamad Zain, Jasni and Herawan, Tutut and Tri Riyadi Yanto, Iwan and Abdullah, Zailani (2018) A Soft Set Approach for Clustering Student Assesment Datasets. [Artikel Dosen]

Thobirin, Aris and Tri Riyadi Yanto, Iwan (2018) Automatic Differentiation Based for Particle Swarm Optimization Steepest Descent Direction. [Artikel Dosen]

Tri Riyadi Yanto, Iwan and Azhari, Imam (2018) Alternative Technique Reducing Complexity of Maximum Attribute Relation. [Artikel Dosen]

Tri Riyadi Yanto, Iwan and Rahman, Arif and Saaadi, Youes (2018) Soft Maximal Association Rule For Web User Mining. [Artikel Dosen]

Tri Riyadi Yanto, Iwan and Saadi, Younes and Hartama, Dedy and Pramudi Ismi, Dewi and Pranolo, Andri (2018) A Framework of Fuzzy Partition Based on Artificial Bee Colony for Categorical Data Clustering. [Artikel Dosen]

Yanto, Iwan Tri Riyadi and Akmar Ismail, Maizatul and Herawan, Tutut (2018) A Modified Fuzzy k-Partition Based on Indiscernibility Relation for Categorical Data Clustering. [Artikel Dosen]