Nama Staff Dosen R. Nurhadi Wijaya Sugiarto, S.T., M.Kom
Fakultas Sains dan Teknologi
Jabatan Fungsional Lektor
Pendidikan S1 S1 Teknik Informatika Fakultas Teknologi Industri Universitas Ahmad Dahlan Yogyakarta
Pendidikan S2 S2 Magister Teknik Informatika Fakultas Ilmu Komputer Universitas Dian Nuswantoro
Pendidikan S3

    Scopus ID: 58080715500

    Penelitian

    • Fake news detection in health domain using transformer models 2024

    • Optimizing breast cancer detection: a comparative study of svm and naive bayes performance 2024

    • Performance comparison of convolutional neural network with traditional machine learning methods in adult autism detection 2024

    • Application of support vector machine (svm) for occupancy status data of rehabilitation and reconstruction houses post-mount merapi eruption 2024

    • Machine learning for environmental health: optimizing concave LSTM for air quality prediction 2024

    • Stacked gated recurrent units and indonesian stock predictions: a new approach to financial forecasting

    • Enhancing heart disease detection using convolutional neural networks and classic machine learning methods 2024

    • Enhancing cirrhosis detection: a deep learning approach with convolutional neural networks 2023

    • Identifying types of waste as efforts in plastic waste management based on deep learning 2023

    • Adaboost classification for predicting residential habitation status in mount merapi post-eruption rehabilitation 2023

    • Harnessing the power of stacked gru for accurate weather predictions 2023

    • Deepfruits: efficient citrus type classification using the cnn 2023

    • Longspam: spam email detection using lstm algorithm 2023

    • Enhancing heart disease detection using convolutional neural networks and classic machine learning methods 2023                         

    • Implementation of knn algorithm for occupancy classification of rehabilitation houses 2022

    • Deepdrive: effective distracted driver detection using generative adversarial networks (gan) algorithm 2022

    • Deepidx: sophisticated ids model using the generative adversarial network (gan) algorithm 2022

    • Pooling comparison in cnn architecture for javanese script classification 2022

    • The design of augmented reality media koi fish literacy using fast corner algorithm 2021

    • Penerapan algoritma decision tree c.45 untuk klasifikasi data status huni rumah rehabilitasi pasca erupsi merapi 2020

    • Evaluation of naive bayes and chi-square performance for classification of occupancy house 2020

    • Penerapan Algoritma K-Nearest Neighbor untuk Klasifikasi Data Status Huni Rumah Rehabilitasi Pasca Erupsi Merapi (2021)
    • Penerapan Algoritma Decision Tree C45 untuk Klasifikasi Data Status Huni Rumah Rehabilitasi Pasca Erupsi Merapi (2020)
    • Penerapan Algoritma Naive Bayes Dan Chi Square Untuk Klasifikasi Data Status Huni Rumah Bantuan Dana Rehab Rekon Pasca Erupsi Merapi 2010 (2019)
    • Penerapan Algoritma Klasifikasi Naive Bayes untuk Data status huni rumah bantuan dana rehabilitasi dan Rekonstruksi Pasca Erupsi Gunung Merapi 2010 (2018)
    • Klasifikasi Data Sensus Penduduk Dengan Metode Naive Bayes Berbasis Particle Swarm Optimization (2016)

    Pengabdian 

    • Nutrition education for parents of athletes through smartwebcalc technology application 2024

    • Penerapan Internet Of Things (Iot) Untuk Peningkatan Satuan Keamanan Lingkungan (Satkamling) Di Wilayah Rt 17, Rw 11 Dusun Karang Tengah Kalurahan Nogotirto Gamping Sleman 2024

    • Sustainability Internet of Things (IoT) implementation for Environmental Security Unit in Karang Tengah Hamlet Nogotirto Gamping Sleman 2024

    • Optimalisasi tata laksana administrasi desa berbasis teknologi informasi bagi perangkat desa katekan gantiwarno klaten 2024

    • Digitalization and creative health to empower posyandu cadres in yogyakarta city's effort to zero case stunting 2023

    • Evaluation Of Naive Bayes And Chi-Square Performance For Classification Of Occupancy House (2020)

    Buku  :

    Sistem Cerdas - ISBN 9786236978276

    Selengkapnya dapat mengunjungi link berikut : 

    https://scholar.google.co.id/citations?user=LzlFXrMAAAAJ&hl=id