Toto Haryanto

This is my personal weblog…

Publikasi

[google scholar] || [Scopus] || [Orcid] || [Researchgate]

2021

Haryanto T., Suhartanto H, Arymurthy AM, Kusmardi K. Conditional sliding windows: An approach for handling data limitation in colorectal histopathology image classification. Informatics Med Unlocked 2021;23:100565. https://doi.org/10.1016/j.imu.2021.100565.


2020

Haryanto T., I. S. Sitanggang, M. A. Agmalaro and R. Rulaningtyas, “The Utilization of Padding Scheme on Convolutional Neural Network for Cervical Cell Images Classification,” 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM), 2020, pp. 34-38, doi: 10.1109/CENIM51130.2020.9297895.

Haryanto T., A. Jayanegara, D. Febrisahrozi and A. Kustiyo, “Artificial Neural Network For Estimation Nutrient Utilization Based on Chemical Composition on Ruminant Animal Feed,” 2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA), 2020, pp. 1-6, doi: 10.1109/ICOSICA49951.2020.9243221.

Haryanto T., Heru  Suhartanto, A. M. Arymurthy, and K. Kusmardi, “GPUs Utilization of Residual Network Training for Colon Histopathological Images Classification,” in International Conference on Computer Science and Its Application in Agriculture, 2020. doi :10.1109/ICOSICA49951.2020.9243276

Haryanto T., Heru Suhartanto, Aniati Murni, and Kusmardi Kusmardi. 2020. “Strategies to Improve Performance of Convolutional Neural Network on Histopathological Images Classification.” : 125–32.

Haryanto, T., Pratama, A., Suhartanto, H., Murni, A., Kusmardi, K. & Pidanic, J. (2020). Multipatch-GLCM for Texture Feature Extraction on Classification of the Colon Histopathology Images using Deep Neural Network with GPU Acceleration. Journal of Computer Science16(3), 280-294. https://doi.org/10.3844/jcssp.2020.280.294


2019

Haryanto T , Heru Suhartanto, Aniati Murni Arymurthy, and Kusmardi  Kusmardi. 2019. “Accelerating Convolutional Neural Network Training for Colon Histopathology Images by Customizing Deep Learning Framework.” Sriwijaya International Conference on Information Technology and Its Applications 172(Siconian 2019): 412–18. https://www.atlantis-press.com/proceedings/siconian-19/125939939.


2018

Guritno, HB,  Haryanto T, A Kustiyo, and I Hermadi. (2018). Optimasi Parameter Pada Fast Correlation Based Filter. Jurnal Edukasi Dan Penelitian Pendidikan 4 (2), 76–83.

2017

Haryanto, T., Suhartanto, H., Li, X., 2017a. Past , Present , and Future Trend of GPU Computing in Deep Learning on Medical Images, in: International Conference on Advanced Computer Science and Information Systems. Jakarta.

Haryanto, T., Wasito, I., Suhartanto, T., 2017b. Convolutional Neural Network (CNN) for Gland Images Classification, in: International Conference On Information & Communication Technology And System. Surabaya. [pdf]

Iryanto, S.B., Djatna, T., Haryanto, T., 2017. Ensemble Learning for Protein Secondary Structure Analysis, in: International Conference on Advanced Computer Science and Information Systems.

Kurniawan, I., Haryanto, T., Hasibuan, L.S., Agmalaro, M.A., 2017. Combining PSSM and physicochemical feature for protein structure prediction with support vector machine. J. Phys. Conf. Ser. 835. https://doi.org/10.1088/1742-6596/835/1/012006 [pdf]

Ochieng, P.J., Kusuma, W.A., Haryanto, T., 2017. Detection of protein complex from protein-protein interaction network using Markov clustering. J. Phys. Conf. Ser. 835. https://doi.org/10.1088/1742-6596/835/1/012001 [pdf]

Setiyoko, A., Dharma, I., Haryanto, T., 2017. Recent development of feature extraction and classification multispectral/hyperspectral images: a systematic literature review. J. Phys. Conf. Ser. 755. https://doi.org/10.1088/1742-6596/755/1/011001 [pdf]


2016

Kurniasari, L., Haryanto, T., Kustiyo, A., Kusuma, W.A., 2016. 2D-PCA for High Dimensional Reduction on, in: International Symposium on Bioinformatics, Chemometrics, and Metabolomics 2016. [pdf]

Yuswanto H, Marimin, Haryanto, T. 2016. Model Sistem Pendukung Pengambilan Keputusan Cerdas Manajemen Rantai Pasok Hijau Obat Herbal. Jurnal Ilmu Komputer dan Agri-Informatika 3(2): 102-111

2015

Haryanto T, Kurniawan R, Muhammad S. 2015. Protein Family Identification using Markov Chain as Feature Extraction and Probabilistic Neural Network (PNN) as Classifier. 2015 International Conference on Information, Communication Technology and System (ICTS). ISBN : 978-1-5090-0095-1. [pdf]

Haryanto T, Adi B U. 2015. Penggunaan Fitur Kimia Fisik dan Posisi Atom untuk Prediksi Struktur Sekunder Protein. Jurnal Edukasi dan Penelitian Informatika (JEPIN). Volume 1 (2): 133-138

 

2014

Puspita Sari D, T. Haryanto. Penerapan Algoritme Viterbi pada Hidden Markov Model (HMM) untuk Prediksi Struktur Protein Sekunder. Prosiding Seminar Nasional Teknologi Informasi (SNTI) 2014. Vol 11. No.1 (2014). ISSN 1829-9156

Bhayuaji A R, I. S Sitanggang , T. Haryanto . Pengelolaan Data Akademik Untuk Akreditasi  Studi Menggunakan Sistem Informasi Berbasis Framework Yii. Prosiding SEMIRATA 2014 Bidang MIPA BKS-PTN-BARAT. 393-404. ISBN : 976-602-70491-0-9

Haryanto T, N. Maryana, R.H Amalia. Identifkasi Citra Hama Tomat Menggunakan Ekstraksi Ciri Gray Level Coocurent Matrix dan Pengklasifikasi Probabilistik Neural Network. Prosiding SEMIRATA 2014 Bidang MIPA BKS-PTN-BARAT. 639-649. ISBN : 976-602-70491-0-9


2013:

Rahmi S, T. Haryanto , NIken T.M. Pratiwi. Pengenalan Genus Diatom Menggunakan Principal Componen Analysis dan Jaringan Syaraf Tiruan Propagasi Balik Sebagai Classifier. Jurnal Ilmu Komputer & Agri-Informatika Volume 2 Nomor 1 (2013). 38-46. ISSN 2089-6026

Haryanto T, H. Rijzaani, M. Lutfi Fajar. Identifikasi DNA dengan Rantai Markov Orde Satu dan Probabilistic Neural Network. Prosiding Seminar Nasional Teknologi Informasi (SNTI) 2013. Vol 10 No. 1 (2013). ISSN 1829-9156

 

2010:

Haryanto T, A. Buono, T Djatna. Penggunaan Hidden Markov Model (HMM) untuk Identifikasi Asam Ribonukleat (RNA) Family. Prosiding Seminar Nasional Teknologi Informasi (SNTI) 2010. Vol. 7 No. 1 ( 2010) ISSN 1829-9156

 

2007:

Haryanto T, Marimin, Herdiyeni H. Sistem Pakar Diagnosa Penyakit pada Ayam (PDPPA). Jurnal Ilmiah Ilmu Komputer.Vol 5, No 1 (2007):ISSN: 1693-1629

 

2 Responses to “Publikasi”

  1. may siti Says:

    assalamualikim pak, metode NB apakah bisa untuk pengelompokan penyakit pak, setau saya pengelompokan itu menggunakan algoritma k-means tapi saya di suruh menggunakan algoritma NB di sini saya kurang refrensi mohon bantuan nya pak.

  2. totoharyanto Says:

    Wa’alaykumsalam warohmatulloh.
    Mohon maaf saya baru bisa menjawab.
    NB adalah supervised learning sehingga harus ada kelas labelnya dahulu (diketahui). Saya menyarankan membaca buku bishop tentang machine learning. Adapun k-means adalah metode clustering Mba May alias unsupervised.Sangat berbeda.

    Terima Kasih

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