Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022) - Authors

Series:Advances in Intelligent Systems Research

Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022)

95 authors

Agustin, Ika Hesti: Peer-Review Statements
Agustin, Ika Hesti: The Comparison of Convolutional Neural Networks Architectures on Classification Potato Leaf Diseases
Agustin, Ika Hesti: Classification of Disease in Rice Plant Leaves Using the Method Convolutional Neural Networks
Agustin, Ika Hesti: Application of Convolutional Neural Network for Identifying Cocoa Leaf Disease
Al-Habib, Hasanuddin: Text Processing Using Support Vector Machine for Scientific Research Paper Content Classification
Alfarisi, Ridho: On the Spatial Temporal Graph Neural Network Analysis Together with Local Vertex Irregular Reflexive Coloring for Time Series Forecasting on Passenger Density at Bus Station
Baihaki, R. I.: The Analysis of Airport Passengers Flow by Using Spatial Temporal Graph Neural Networks and Resolving Efficient Dominating Set
Baihaki, Rifki Ilham: The Comparison of Convolutional Neural Networks Architectures on Classification Potato Leaf Diseases
Baihaki, Rifki Ilham: Application of Convolutional Neural Network for Identifying Cocoa Leaf Disease
Dafik: The Analysis of Airport Passengers Flow by Using Spatial Temporal Graph Neural Networks and Resolving Efficient Dominating Set
Dafik: The Comparison of Convolutional Neural Networks Architectures on Classification Potato Leaf Diseases
Dafik: Classification of Disease in Rice Plant Leaves Using the Method Convolutional Neural Networks
Dafik: RBL-STEM Learning Activities: Analysis of Transgenic Sugarcane Development Using Artificial Neural Networks in Improving Students’ Combinatorial Thinking Skills
Dafik: On Time Series Forecasting Analysis of Soil Moisture by Using Artificial Neural Networks Based - on Rainbow Antimagic Coloring for Autonomous Irrigation System on Horizontal Farming
Dafik: Application of Convolutional Neural Network for Identifying Cocoa Leaf Disease
Dafik: On the Spatial Temporal Graph Neural Network Analysis Together with Local Vertex Irregular Reflexive Coloring for Time Series Forecasting on Passenger Density at Bus Station
Dafik: The Development of Precision Agriculture Design by Using a Smart Sensor for Time Series Forecasting Analysis on Relative Humidity
Dewi, Yuliani Setia: The Classification of Tea Leaf Disease Using CNN Image Classifier
Fitria, Zahroatul: Weight of Evidence and Information Value on Support Vector Machine Classifier
Girinoto: Detection Model for URL Phishing with Comparison Between Shallow Machine Learning and Deep Learning Models
Gita, Rina Sugiarti Dwi: RBL-STEM Model Learning Activity Framework: VCO (Virgin Coconut Oil) Development Analysis Using Artificial Neural Network to Improve Student Metacognition
Hadi, Alfian Futuhul: The Classification of Tea Leaf Disease Using CNN Image Classifier
Hadi, Alfian Futuhul: Weight of Evidence and Information Value on Support Vector Machine Classifier
Hapsari, Rinci Kembang: Comparison of the Normalization Method of Data in Classifying Brain Tumors with the k-NN Algorithm
Hapsari, Rinci Kembang: Classification of Tobacco Leaf Quality Using Feature Extraction of Gray Level Co-occurrence Matrix (GLCM) and K-Nearest Neighbor (K-NN)
Hapsari, Rinci Kembang: Steganography on Color Images Using Least Significant Bit (LSB) Method
Harliyuni, Adidtiya Dwi: On the Spatial Temporal Graph Neural Network Analysis Together with Local Vertex Irregular Reflexive Coloring for Time Series Forecasting on Passenger Density at Bus Station
Harvyanti, Annisa Fitri Maghfiroh: Application of Convolutional Neural Network for Identifying Cocoa Leaf Disease
Herawati, Sri: Tourism Destination Recommendation System Using Collaborative Filtering and Modified Neural Network
Imah, Elly Matul: Text Processing Using Support Vector Machine for Scientific Research Paper Content Classification
Indrawati: RBL-STEM Learning Activities: Analysis of Transgenic Sugarcane Development Using Artificial Neural Networks in Improving Students’ Combinatorial Thinking Skills
Indriyani, Tutuk: Comparison of the Normalization Method of Data in Classifying Brain Tumors with the k-NN Algorithm
Indriyani, Tutuk: Classification of Tobacco Leaf Quality Using Feature Extraction of Gray Level Co-occurrence Matrix (GLCM) and K-Nearest Neighbor (K-NN)
Indriyani, Tutuk: Steganography on Color Images Using Least Significant Bit (LSB) Method
Islam, Muhammad Hifdil: Application of Spatial Temporal Graph Neural Networks for Forecasting Data Time Series River Pollution Waste Content in Probolinggo
Jayawardana, H. B. A.: RBL-STEM Model Learning Activity Framework: VCO (Virgin Coconut Oil) Development Analysis Using Artificial Neural Network to Improve Student Metacognition
Kristiana, A. I.: The Analysis of Airport Passengers Flow by Using Spatial Temporal Graph Neural Networks and Resolving Efficient Dominating Set
Kurniawati, Elsa Yuli: The Comparison of Convolutional Neural Networks Architectures on Classification Potato Leaf Diseases
Lestari, Wahyu: Application of Spatial Temporal Graph Neural Networks for Forecasting Data Time Series River Pollution Waste Content in Probolinggo
Maulidiya, Ahdatu Uli Khikamil: RBL-STEM Learning Activities: Analysis of Transgenic Sugarcane Development Using Artificial Neural Networks in Improving Students’ Combinatorial Thinking Skills
Mauliska, Nur: Application of Spatial Temporal Graph Neural Networks for Forecasting Data Time Series River Pollution Waste Content in Probolinggo
Maylisa, Ika Nur: On Time Series Forecasting Analysis of Soil Moisture by Using Artificial Neural Networks Based - on Rainbow Antimagic Coloring for Autonomous Irrigation System on Horizontal Farming
Meilani, Budanis Dwi: Comparison of the Normalization Method of Data in Classifying Brain Tumors with the k-NN Algorithm
Mufidati, Dini: On Time Series Forecasting Analysis of Soil Moisture by Using Artificial Neural Networks Based - on Rainbow Antimagic Coloring for Autonomous Irrigation System on Horizontal Farming
Muklisin, A.: The Analysis of Airport Passengers Flow by Using Spatial Temporal Graph Neural Networks and Resolving Efficient Dominating Set
Nurmuslimah, S.: Steganography on Color Images Using Least Significant Bit (LSB) Method
Permana, Kurniawan Eka: Tourism Destination Recommendation System Using Collaborative Filtering and Modified Neural Network
Prabiantissa, Citra Nurina: Steganography on Color Images Using Least Significant Bit (LSB) Method
Prahani, Binar Kurnia: Text Processing Using Support Vector Machine for Scientific Research Paper Content Classification
Pramudita, Yoga Dwitya: Haploid Diploid Maize Seeds Classification Using Residual Network
Puspitasari, Riskyana Dewi Intan: Text Processing Using Support Vector Machine for Scientific Research Paper Content Classification
Putro, Sigit Susanto: Implementation of the Fuzzy Analytical Network Process Method in Decision Making on the Granting of Non-occupied Building Permits
Qomariasih, Nurul: Detection Model for URL Phishing with Comparison Between Shallow Machine Learning and Deep Learning Models
Rachmad, Aeri: Classification of Tobacco Leaf Quality Using Feature Extraction of Gray Level Co-occurrence Matrix (GLCM) and K-Nearest Neighbor (K-NN)
Rachmad, Aeri: Steganography on Color Images Using Least Significant Bit (LSB) Method
Rachmad, Aeri: Implementation of the Fuzzy Analytical Network Process Method in Decision Making on the Granting of Non-occupied Building Permits
Rachmad, Aeri: Comparing the Architecture of Convolutional Neural Network for Corn Leaves Diseases Image Classification
Rachman, Aery: Comparison of the Normalization Method of Data in Classifying Brain Tumors with the k-NN Algorithm
Ramadhani, Evi: Weight of Evidence and Information Value on Support Vector Machine Classifier
Ridlo, Zainur Rasyid: The Comparison of Convolutional Neural Networks Architectures on Classification Potato Leaf Diseases
Ridlo, Zainur Rasyid: Classification of Disease in Rice Plant Leaves Using the Method Convolutional Neural Networks
Ridlo, Zainur Rasyid: On Time Series Forecasting Analysis of Soil Moisture by Using Artificial Neural Networks Based - on Rainbow Antimagic Coloring for Autonomous Irrigation System on Horizontal Farming
Ridlo, Zainur Rasyid: Application of Convolutional Neural Network for Identifying Cocoa Leaf Disease
Ridlo, Zainur Rasyid: On the Spatial Temporal Graph Neural Network Analysis Together with Local Vertex Irregular Reflexive Coloring for Time Series Forecasting on Passenger Density at Bus Station
Ridlo, Zainur Rasyid: The Development of Precision Agriculture Design by Using a Smart Sensor for Time Series Forecasting Analysis on Relative Humidity
Rochman, Eka Mala Sari: Classification of Tobacco Leaf Quality Using Feature Extraction of Gray Level Co-occurrence Matrix (GLCM) and K-Nearest Neighbor (K-NN)
Rochman, Eka Mala Sari: Implementation of the Fuzzy Analytical Network Process Method in Decision Making on the Granting of Non-occupied Building Permits
Rochman, Eka Mala Sari: Comparing the Architecture of Convolutional Neural Network for Corn Leaves Diseases Image Classification
Rosyidah, Eliana Aida: The Classification of Tea Leaf Disease Using CNN Image Classifier
Salim, Abdullah Harits: Comparison of the Normalization Method of Data in Classifying Brain Tumors with the k-NN Algorithm
Sanie, Mahdan Kintara: The Modification of the Building Structural Design Using Steel-Concrete Composite and Eccentrically Braced Frames (EBF) System Structure
Saputra, M Dika: Weight of Evidence and Information Value on Support Vector Machine Classifier
Sartono, Bagus: Weight of Evidence and Information Value on Support Vector Machine Classifier
Satoto, Budi Dwi: Classification of Tobacco Leaf Quality Using Feature Extraction of Gray Level Co-occurrence Matrix (GLCM) and K-Nearest Neighbor (K-NN)
Setiawan, Hermawan: Detection Model for URL Phishing with Comparison Between Shallow Machine Learning and Deep Learning Models
Setiawan, Wahyudi: Classification of Tobacco Leaf Quality Using Feature Extraction of Gray Level Co-occurrence Matrix (GLCM) and K-Nearest Neighbor (K-NN)
Setiawan, Wahyudi: Haploid Diploid Maize Seeds Classification Using Residual Network
Setiawan, Wahyudi: Tourism Destination Recommendation System Using Collaborative Filtering and Modified Neural Network
Setiawan, Wahyudi: Implementation of the Fuzzy Analytical Network Process Method in Decision Making on the Granting of Non-occupied Building Permits
Setiawan, Wahyudi: Comparing the Architecture of Convolutional Neural Network for Corn Leaves Diseases Image Classification
Slamin: On Time Series Forecasting Analysis of Soil Moisture by Using Artificial Neural Networks Based - on Rainbow Antimagic Coloring for Autonomous Irrigation System on Horizontal Farming
Slamin: On the Spatial Temporal Graph Neural Network Analysis Together with Local Vertex Irregular Reflexive Coloring for Time Series Forecasting on Passenger Density at Bus Station
Sudarti: The Development of Precision Agriculture Design by Using a Smart Sensor for Time Series Forecasting Analysis on Relative Humidity
Sugiharto, Bambang: RBL-STEM Learning Activities: Analysis of Transgenic Sugarcane Development Using Artificial Neural Networks in Improving Students’ Combinatorial Thinking Skills
Suswanto, Budi: The Modification of the Building Structural Design Using Steel-Concrete Composite and Eccentrically Braced Frames (EBF) System Structure
Syakur, Muhammad Ali: Implementation of the Fuzzy Analytical Network Process Method in Decision Making on the Granting of Non-occupied Building Permits
Taufiqurrahman, Audita: Steganography on Color Images Using Least Significant Bit (LSB) Method
Tirta, I. M.: The Analysis of Airport Passengers Flow by Using Spatial Temporal Graph Neural Networks and Resolving Efficient Dominating Set
Triwulan: The Modification of the Building Structural Design Using Steel-Concrete Composite and Eccentrically Braced Frames (EBF) System Structure
Waluyo, Joko: RBL-STEM Learning Activities: Analysis of Transgenic Sugarcane Development Using Artificial Neural Networks in Improving Students’ Combinatorial Thinking Skills
Waluyo, Joko: The Development of Precision Agriculture Design by Using a Smart Sensor for Time Series Forecasting Analysis on Relative Humidity
Waris: RBL-STEM Model Learning Activity Framework: VCO (Virgin Coconut Oil) Development Analysis Using Artificial Neural Network to Improve Student Metacognition
Wisudaningsih, Endah Tri: Application of Spatial Temporal Graph Neural Networks for Forecasting Data Time Series River Pollution Waste Content in Probolinggo
Zahro, Laila Badriyatuz: Classification of Disease in Rice Plant Leaves Using the Method Convolutional Neural Networks
Zuhayr, Nizam Aditya: Detection Model for URL Phishing with Comparison Between Shallow Machine Learning and Deep Learning Models