Zuherman Rustam

发表

Non-invasive Intracranial Pressure classification using Strong Jumping Emerging Patterns

Putu Wira Angriyasa, Zuherman Rustam, W. Sadewo, 2011, 2011 International Conference on Advanced Computer Science and Information Systems.

Comparison between Convolutional Neural Network and Convolutional Neural Network-Support Vector Machines as the classifier for Colon Cancer

Zuherman Rustam, J. Aurelia, V. V. P. Wibowo, 2020, 2020 International Conference on Decision Aid Sciences and Application (DASA).

APPLICATION OF SUPPORT VECTOR REGRESSION FOR JAKARTA STOCK COMPOSITE INDEX PREDICTION WITH FEATURE SELECTION USING LAPLACIAN SCORE 1

Zuherman Rustam, 2019 .

Indonesia Composite Index Prediction using Fuzzy Support Vector Regression with Fisher Score Feature Selection

Zuherman Rustam, R. Hidayat, Nurrimah, 2019, International Journal on Advanced Science, Engineering and Information Technology.

Cerebral infarction classification using multiple support vector machine with information gain feature selection

J. Pandelaki, Zuherman Rustam, A. Arfiani, 2020 .

Multiclass classification of breast cancer large scale datasets for detecting cancer drivers

Zuherman Rustam, A. R. Bagasta, 2019, PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES (ISCPMS2018).

Neural Network-Support Vector Machine for Sinusitis Classification

Zuherman Rustam, J. Aurelia, Afifah Rofi Laeli, 2020, 2020 International Conference on Decision Aid Sciences and Application (DASA).

An initialization scheme of fuzzy-neuro LVQ for discriminating three-mixtures odor

B. Kusumoputro, Zuherman Rustam, 2008 .

Comparing Decision Tree and Logistic Regression for Pancreatic Cancer Classification

Zuherman Rustam, J. Aurelia, V. V. P. Wibowo, 2020, 2020 International Conference on Decision Aid Sciences and Application (DASA).

Combining Convolutional Neural Network and Long Short-Term Memory to Classify Sinusitis

Zuherman Rustam, I. Wirasati, Velery Virgina Putri Wibowo, 2020, 2020 International Conference on Decision Aid Sciences and Application (DASA).

Ischemic Stroke Classification using Random Forests Based on Feature Extraction of Convolutional Neural Networks

R. E. Yunus, J. Pandelaki, D. Aldila, 2020, International Journal on Advanced Science, Engineering and Information Technology.

Comparison between Fisher’s Ratio and Information Gain with SVM classifier for 3 levels of enthusiasm classification through face recognition

Zuherman Rustam, Andrea Laksmirani Kristina, Y. Satria, 2021 .

Decision making in the indonesian stock exchange using a fuzzy logic method

Zuherman Rustam, A. S. Talita, Lintang A.M. Pertiwi, 2019 .

Normed kernel function-based fuzzy possibilistic C-means (NKFPCM) algorithm for high-dimensional breast cancer database classification with feature selection is based on Laplacian Score

Zuherman Rustam, A. Lestari, 2017 .

Linear Support Vector Machine and Logistic Regression for Cerebral Infarction Classification

Zuherman Rustam, V. V. P. Wibowo, Qisthina Syifa Setiawan, 2020, 2020 International Conference on Decision Aid Sciences and Application (DASA).

The Global Kernel k-means Clustering Algorithm for Cerebral Infarction Classification

J. Pandelaki, Zuherman Rustam, S. Fitri, 2019, Journal of Physics: Conference Series.

Comparison between Support Vector Machine and Random Forest for Hepatocellular Carcinoma (HCC) Classification

Zuherman Rustam, J. Aurelia, V. V. P. Wibowo, 2020, 2020 International Conference on Decision Aid Sciences and Application (DASA).

Naïve Bayes Classifier and Particle Swarm Optimization Feature Selection Method for Classifying Intrusion Detection System Dataset

Zuherman Rustam, A. S. Talita, O. S. Nataza, 2021 .

Soft Tissue Tumor Classification using Stochastic Support Vector Machine

Zuherman Rustam, Devvi Sarwinda, Durrabida Zahras, 2019, IOP Conference Series: Materials Science and Engineering.

Ovarian Cancer Classification using Bayesian Logistic Regression

T. Siswantining, Zuherman Rustam, T. Octaviani, 2019, IOP Conference Series: Materials Science and Engineering.

Comparison between support vector machine and fuzzy Kernel C-Means as classifiers for intrusion detection system using chi-square feature selection

Zuherman Rustam, N. P. A. A. Ariantari, Zuherman Rustam, 2018 .

Comparison between fuzzy kernel k-medoids using radial basis function kernel and polynomial kernel function in hepatitis classification

Zuherman Rustam, Sri Hartini, Glori Stephani Saragih, 2021 .

Naïve Bayes Classifier Models for Predicting the Colon Cancer

Zuherman Rustam, Nafizatus Salmi, Zuherman Rustam, 2019, IOP Conference Series: Materials Science and Engineering.

Analysis of Architecture Combining Convolutional Neural Network (CNN) and Kernel K-Means Clustering for Lung Cancer Diagnosis

Zuherman Rustam, Sri Hartini, Rivan Y. Pratama, 2020, International Journal on Advanced Science, Engineering and Information Technology.

Random-Forest (RF) and Support Vector Machine (SVM) Implementation for Analysis of Gene Expression Data in Chronic Kidney Disease (CKD)

Devvi Sarwinda, Zuherman Rustam, Ely Sudarsono, 2019, IOP Conference Series: Materials Science and Engineering.

Pulmonary rontgen classification to detect pneumonia disease using convolutional neural networks

Zuherman Rustam, Chelvian Aroef, R. P. Yuda, 2020, TELKOMNIKA (Telecommunication Computing Electronics and Control).

Comparison Between Fuzzy Kernel C-Means, Fuzzy Kernel Possibilistic C-Means and Support Vector Machines in Soft Tissue Tumor Classification

Nadisa Karina Putri, Zuherman Rustam, Sri Hartini, 2020 .

Forecasting the Amount of Pneumonia Patients in Jakarta with Weighted High Order Fuzzy Time Series

Zuherman Rustam, Zuherman Rustam, Sebastian Tricahya, 2019, IOP Conference Series: Materials Science and Engineering.

Optimal cervical cancer classification using Gauss-Newton representation based algorithm

Z. Rustam, V. A. W. Hapsari, M. R. Solihin, 2019, PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES (ISCPMS2018).

Feature Selection using Random Forest Classifier for Predicting Prostate Cancer

Zuherman Rustam, Titin Siswantining, Mia Huljanah, 2019, IOP Conference Series: Materials Science and Engineering.

Comparison of Naive Bayes and Support Vector Machine with Grey Wolf Optimization Feature Selection for Cervical Cancer Data Classification

J. Pandelaki, Zuherman Rustam, Qisthina Syifa Setiawan, 2021, 2021 International Conference on Decision Aid Sciences and Application (DASA).

Predicting the direction of Indonesian stock price movement using support vector machines and fuzzy Kernel C-Means

Zuherman Rustam, D. F. Vibranti, D. Widya, 2018 .

Comparison of Naive Bayes and Decision Tree for Classifying Hepatocellular Carcinoma (HCC)

Zuherman Rustam, Qisthina Syifa Setiawan, S. Hartini, 2020, 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT).

Comparing random forest and support vector machines for breast cancer classification

Zuherman Rustam, Chelvian Aroef, Yuda Rivan, 2020 .

Classification of Schizophrenia Data Using Support Vector Machine (SVM)

Zuherman Rustam, T. V. Rampisela, Zuherman Rustam, 2018, Journal of Physics: Conference Series.

Random forest for breast cancer prediction

Zuherman Rustam, T. Octaviani, 2019, PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES (ISCPMS2018).

Knee osteoarthritis classification using support vector machine AdaBoost and decision tree AdaBoost

Z. Rustam, J. Pandelaki, D. A. Kusuma, 2019, PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES (ISCPMS2018).

Osteoarthritis Disease Prediction Based on Random Forest

Zuherman Rustam, Ulfah Aprilliani, Zuherman Rustam, 2018, 2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS).

An Optimal Schedule for Toll Road Network Construction Based on Greedy Algorithm

Zuherman Rustam, Oki Saputra Jaya, Zuherman Rustam, 2018 .

Comparison of Cubic SVM with Gaussian SVM: Classification of Infarction for detecting Ischemic Stroke

Zuherman Rustam, Jacub Pandelaki, Widyo Ari Nugroho, 2019, IOP Conference Series: Materials Science and Engineering.

Kernel perceptron algorithm for sinusitis classification

Sri Hartini, Jacub Pandelaki, Z. Rustam, 2020, Journal of Physics: Conference Series.

The comparison study of kernel KC-means and support vector machines for classifying schizophrenia

Zuherman Rustam, Sri Hartini, Zuherman Rustam, 2020, TELKOMNIKA (Telecommunication Computing Electronics and Control).

Kernel Spherical K-Means and Support Vector Machine for Acute Sinusitis Classification

Zuherman Rustam, Jacub Pandelaki, Arfiani, 2019, IOP Conference Series: Materials Science and Engineering.

Application of Support Vector Regression in Indonesian Stock Price Prediction with Feature Selection Using Particle Swarm Optimisation

Zuherman Rustam, Puteri Kintandani, Zuherman Rustam, 2019, Modelling and Simulation in Engineering.

Ovarian cancer classification using K-Nearest Neighbor and Support Vector Machine

Zuherman Rustam, W. Sadewo, V. V. P. Wibowo, 2021 .

Prostate Cancer Classification Using Random Forest and Support Vector Machines

Z Rustam, N Angie, Zuherman Rustam, 2021, Journal of Physics: Conference Series.

Acute sinusitis classification using support and fuzzy support vector machines

Jacub Pandelaki, Z. Rustam, R. E. Yunus, 2020, Journal of Physics: Conference Series.

Cerebral Infarction Classification Using the K-Nearest Neighbor and Naive Bayes Classifier

Z Rustam, S H Rukmawan, F R Aszhari, 2021 .

Multiclass classification of acute lymphoblastic leukemia microarrays data using support vector machine algorithms

T. Siswantining, Zuherman Rustam, Hamidah, 2020, Journal of Physics: Conference Series.

Ovarian cancer data classification using bagging and random forest

A. Arfiani, Z. Rustam, Zuherman Rustam, 2019, PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES (ISCPMS2018).

Pancreatic Cancer Early Detection Using Twin Support Vector Machine Based on Kernel

Zuherman Rustam, Hamidah Hamidah, Wismaji Sadewo, 2020, Symmetry.

New feature selection based on kernel

Zuherman Rustam, Sri Hartini, Zuherman Rustam, 2020 .

Comparison between fuzzy robust kernel c-means (FRKCM) and fuzzy entropy kernel c-means (FEKCM) classifier for intrusion detection system (IDS)

Zuherman Rustam, Devvi Sarwinda, Nedya Shandri, 2019, IOP Conference Series: Materials Science and Engineering.

Face Recognition to Identify Look-Alike Faces using Support Vector Machine

Zuherman Rustam, R Faradina, Zuherman Rustam, 2018, Journal of Physics: Conference Series.

Classification of Cerebral Infarction Data Using K-Means and Kernel K-Means

Z Rustam, J Pandelaki, A G M Sari, 2021, Journal of Physics: Conference Series.

Pancreatic Cancer Classification Using the Kernel-based Support Vector Machine (KSVM)

Z Rustam, R Khairi, S G Fitri, 2021, Journal of Physics: Conference Series.

Hyperparameter Optimization on Support Vector Machine using Grid Search for Classifying Thalassemia Data

Zuherman Rustam, J. Aurelia, S. Hartini, 2020, 2020 International Conference on Decision Aid Sciences and Application (DASA).

Classification of Breast Cancer using Fast Fuzzy Clustering based on Kernel

Zuherman Rustam, Sri Hartini, Zuherman Rustam, 2019, IOP Conference Series: Materials Science and Engineering.

Insolvency Prediction in Insurance Companies Using Support Vector Machines and Fuzzy Kernel C-Means

Zuherman Rustam, Frederica Yaurita, Zuherman Rustam, 2018, Journal of Physics: Conference Series.

Predicting Bank Financial Failures using Random Forest

Zuherman Rustam, Glori Stephani Saragih, Zuherman Rustam, 2018, 2018 International Workshop on Big Data and Information Security (IWBIS).

Classification of thalassemia data using random forest algorithm

Z. Rustam, F. R. Aszhari, F. Subroto, 2020, Journal of Physics: Conference Series.

Application Support Vector Machine on Face Recognition for Gender Classification

Zuherman Rustam, A. A. Ruvita, Zuherman Rustam, 2018, Journal of Physics: Conference Series.

Classification of cancer data using support vector machines with features selection method based on global artificial bee colony

Zuherman Rustam, T. Nadira, Zuherman Rustam, 2018 .

Support Vector Machines for Classifying Policyholders Satisfactorily in Automobile Insurance

Zuherman Rustam, Ni Putu Ayu Audia Ariantari, Zuherman Rustam, 2018, Journal of Physics: Conference Series.

Comparison between Support Vector Machine and Fuzzy C-Means as Classifier for Intrusion Detection System

Zuherman Rustam, Durrabida Zahras, Zuherman Rustam, 2018, Journal of Physics: Conference Series.

Feature optimization using Backward Elimination and Support Vector Machines (SVM) algorithm for diabetes classification

Z Rustam, I Wirasati, F Maulidina, 2021, Journal of Physics: Conference Series.

Linear discriminant analysis and support vector machines for classifying breast cancer

Zuherman Rustam, Sri Hartini, Glori Stephani Saragih, 2021 .

Panel Data Regression and Support Vector Regression for Analysing Indonesian Private External Debt

Zuherman Rustam, Janice Diani Putri, 2019 .

Gene selection in cancer classification using hybrid method based on Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) feature selection and support vector machine

Z. Rustam, D. A. Utami, Zuherman Rustam, 2019, PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES (ISCPMS2018).

Naïve bayes classifier models for cerebral infarction classification

J. Pandelaki, Zuherman Rustam, S. Fitri, 2020, Journal of Physics: Conference Series.

A fuzzy logic model to forecast stock market momentum in Indonesia’s property and real estate sector

Zuherman Rustam, H. K. Penawar, 2017 .

Comparison of SVM and FSVM for predicting bank failures using chi-square feature selection

Zuherman Rustam, F. Nadhifa, M. Acar, 2018, Journal of Physics: Conference Series.

Classification of sinusitis using kernel three-way c-means

Sri Hartini, Z Rustam, J Pandelaki, 2021, Journal of Physics: Conference Series.

Breast cancer clustering using modified spherical K-Means

Zuherman Rustam, Ajeng Leudityara Fijri, Zuherman Rustam, 2020, Journal of Physics: Conference Series.

Prediction Insolvency of Insurance Companies Using Random Forest

Zuherman Rustam, G. Saragih, 2021, Journal of Physics: Conference Series.

Comparison of Colorectal Cancer Classification between K-Nearest Neighbors (K-NN) and Neural Network

Z Rustam, F Zhafarina, Y Amalia, 2021, Journal of Physics: Conference Series.

Comparison of Support Vector Machine Recursive Feature Elimination and Kernel Function as feature selection using Support Vector Machine for lung cancer classification

Z Rustam, S A A Kharis, Zuherman Rustam, 2020, Journal of Physics: Conference Series.

Fuzzy kernel C-means algorithm for intrusion detection systems

ZUHERMAN RUSTAM, AINI SURI TALITA, Zuherman Rustam, 2015 .

Comparison Support Vector Machine and Fuzzy Possibilistic C-Means based on the kernel for Knee Osteoarthritis data Classification

Zuherman Rustam, Azizul Azhar Ramli, Rahmat Hidayat, 2019, International Journal on Advanced Science, Engineering and Information Technology.

Preprocessing Unbalanced Data using Support Vector Machine with Method K-Nearest Neighbors for Cerebral Infarction Classification

Z Rustam, J Pandelaki, A G M Sari, 2021, Journal of Physics: Conference Series.