{"id":3210,"date":"2019-12-19T13:24:57","date_gmt":"2019-12-19T06:24:57","guid":{"rendered":"https:\/\/www.its.ac.id\/informatika\/?page_id=3210"},"modified":"2026-05-06T10:58:46","modified_gmt":"2026-05-06T03:58:46","slug":"intelligent-computing-and-vision-laboratory","status":"publish","type":"page","link":"https:\/\/www.its.ac.id\/informatika\/en\/intelligent-computing-and-vision-laboratory\/","title":{"rendered":"Intelligent Computing and Vision Laboratory"},"content":{"rendered":"

[vc_row][vc_column width=”1\/3″][vc_empty_space][dot_sidebar_menu select_menu=”sidebar-kcv-en”][vc_empty_space][vc_video link=”https:\/\/youtu.be\/IxakRCUDjr8?si=cEWz68B2QGQUDfEL”][dot_post_list_widget cat=”kcv-en” style=”1″ show_date=”0″ title=”News” max_post=”3″ read_more=”Read More”][vc_empty_space][join_help_box][\/vc_column][vc_column width=”2\/3″][vc_empty_space][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” css_animation=”bounceIn” title=”Intelligent Computing and Vision Laboratory” id=”ProfilKCV”][\/dot_custom_title][vc_empty_space][vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”7296″][vc_column_text css=”.vc_custom_1684810362008{margin-bottom: -25px !important;}”]<\/p>\n

Prof. Dr.Eng. Nanik Suciati, S.Kom,M.Kom<\/h5>\n

Head of Laboratory<\/b>
\nEmail: nanik@if.its.ac.id
\ninitial,\u00a0NS<\/b>[\/vc_column_text][dot_custom_button border_style=”rightrnd leftrnd ” font_style=”AvenirNextLTPro-DemiCn” title=”detail” font_size=”12″ bg_col=”#ffbd07″ txt_color=”#013880″ class=”mt-5″ css=”.vc_custom_1536816789024{margin-top: -25px !important;}” href=”url:https%3A%2F%2Fwww.its.ac.id%2Finformatika%2Fprofil-nanik-suciati%2F|||”][\/vc_column_inner][vc_column_inner width=”2\/3″][vc_column_text]Welcome to the Intelligent Computing and Vision Laboratory.<\/p>\n

We focus on research in analyzing image data for various applications, such as biomedical and industry. Our research is to model real-life cases and applied the solution to meet the needs.<\/p>\n

Our areas of expertise are:<\/strong><\/p>\n

\n
Artificial intelligence<\/span>
\nComputational Intelligence<\/span>
\nData Mining<\/span>
\nDigital Image Processing<\/span>
\nBiomedical Computing<\/span>
\nRobotics<\/span>
\nInformation Retrieval System<\/span>
\nComputer Vision<\/span>
\nSocial Network Analysis<\/span>
\nDeep Learning<\/span><\/span><\/div>\n<\/div>\n
\n
<\/div>\n<\/div>\n

[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_empty_space][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” css_animation=”bounceIn” title=”Facility” id=”FasilitasKCV”][\/dot_custom_title][vc_column_text]Laboratorium Komputasi Cerdas dan Visi dilengkapi dengan komputer yang memiliki spesifikasi bervariasi mulai dari ;<\/p>\n

    \n
  • Processor Intel Core i3 Gen-3, i5 Gen-8, Intel\u00ae Xeon\u00ae E5-2640 dengan RAM 4GB-16GB, Sampai dengan Processor i9 Generasi 12 GPU 3080TI<\/li>\n
  • Untuk HDD sebagian besar minimal 1TB.<\/li>\n
  • Semua monitor berukuran 19\u2033 untuk memudahkan mahasiswa dalam melakukan penelitian dan pembelajaran.<\/li>\n
  • Dilengkapi LED TV 55\u2033 untuk mahasiswa dalam melakukan demo pembelajaran.<\/li>\n
  • LCD Projector untuk memudahkan mahasiswa yang membutuhkan beberapa display.<\/li>\n
  • Ploter Untung menunjang kebutuhan mahasiswa mencetak hasil tugas2 yang dibutuhkan.<\/li>\n<\/ul>\n

    [\/vc_column_text][vc_empty_space][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” css_animation=”bounceIn” title=”Research” id=”PenelitianKCV”][\/dot_custom_title][vc_tta_tabs style=”outline” shape=”less” active_section=”1″ el_class=”overlay-blue tab_home” css=”.vc_custom_1536816453824{padding-top: 25px !important;padding-right: 25px !important;padding-bottom: 25px !important;padding-left: 25px !important;}”][vc_tta_section title=”2023″ tab_id=”1535122196911-bffbc7b6-b25b”][vc_row_inner css=”.vc_custom_1536814085266{margin-top: 5px !important;margin-bottom: 5px !important;background-color: rgba(255,255,255,0.5) !important;*background-color: rgb(255,255,255) !important;}”][vc_column_inner][vc_column_text]<\/p>\n

      \n
    1. Pengembangan Metode Deteksi Subtipe Acute Lymphoblastic Leukemia (ALL) Pada Citra Mikroskopis Sel Darah Sebagai Alat Bantu Diagnosis Tipe Leukemia<\/li>\n
    2. \n
      \n
      \n
      Pengembangan Sistem Automatic Medical Report Generation Berdasarkan Citra Medis<\/div>\n<\/div>\n<\/div>\n<\/li>\n
    3. Kerangka Kerja Model Pengembangan Sistem Gamifikasi Adaptif Untuk Meningkatkan Efektivitas Pengerjaan Tugas Akhir Mahasiswa<\/li>\n
    4. Sistem Pendeteksian Dan Pemantauan Dini Risiko Komplikasi Berbasis Multimodal Deep Learning Pada Pasien Yang Menjalani Terapi Contiuous Ambulatory Peritoneal Dialysis<\/li>\n
    5. Aplikasi Penghitung dan Pengukur Kecepatan Kendaraan Terpadu Berbasis Deep Learning pada Survey Lalu Lintas Harian Rata-Rata<\/li>\n
    6. Pengembangan Model Deteksi Ketersediaan Slot Parkir Dari Dua Kamera Yang Overlap Menggunakan Yolo Dan Image Stitching<\/li>\n
    7. Deep Learning untuk Deteksi Jenis dan Tingkat Kesegaran Ikan, Penelitian Disertasi Doktor<\/li>\n
    8. Pengenalan Pelat Nomor Kendaraan Menggunakan Convolutional Recurrent Neural Network dengan Augmentasi Geometri, Cuaca dan Cahaya<\/li>\n
    9. Pengenalan Lingkungan Bagi Tuna Netra Menggunakan Image Captioning Berbasis DEEP LEARNING<\/li>\n<\/ol>\n

      [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][vc_tta_section title=”2022″ tab_id=”1706695563368-e8d8247c-ff1c”][vc_row_inner css=”.vc_custom_1536814085266{margin-top: 5px !important;margin-bottom: 5px !important;background-color: rgba(255,255,255,0.5) !important;*background-color: rgb(255,255,255) !important;}”][vc_column_inner][vc_column_text]<\/p>\n

        \n
      1. Kerangka Kerja Model Pengembangan Sistem Gamifikasi Adaptif Untuk Meningkatkan Efektivitas Pengerjaan Tugas Akhir Mahasiswa, Penelitian Disertasi Doktor<\/li>\n
      2. Sistem Otomatisasi Perencanaan Implan Gigi berdasarkan Citra CBCT, Penelitian Disertasi Doktor<\/li>\n
      3. PENGEMBANGAN METODE DETEKSI SUBTIPE ACUTE LYMPHOBLASTIC LEUKEMIA (ALL) PADA CITRA MIKROSKOPIS SEL DARAH SEBAGAI ALAT BANTU DIAGNOSIS TIPE LEUKEMIA, Penelitian Pendidikan Magister Menuju Doktor Sarjana Unggul<\/li>\n
      4. Pengembangan Sistem Automatic Medical Report Generation Berdasarkan Citra Medis, Penelitian Pendidikan Magister Menuju Doktor Sarjana Unggul<\/li>\n
      5. Penerjemah Aksara Bali pada Naskah Lontar Kuno Berbasis Aturan Pasang Aksara dan Deep Learning, Penelitian Disertasi Doktor<\/li>\n
      6. Deep Learning untuk Deteksi Jenis dan Tingkat Kesegaran Ikan, Penelitian Disertasi Doktor<\/li>\n
      7. Segmentasi Sel Leukemia Limfoblastik Akut Berbasis Metode Deteksi Obyek Pada Citra Mikroskopis Sel Darah, Penelitian Dana Departemen<\/li>\n
      8. Pengenalan Bahasa Isyarat Menggunakan Graph Convolutional Network, Penelitian Dana Departemen<\/li>\n
      9. Prediksi Visual Berbasis Machine Learning Untuk Tindakan Preventif Mabuk Laut Penumpang Kapal, Penelitian Dana Departemen<\/li>\n<\/ol>\n

        [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][vc_tta_section title=”2021″ tab_id=”1673234230100-cf627977-d22c”][vc_row_inner css=”.vc_custom_1536814085266{margin-top: 5px !important;margin-bottom: 5px !important;background-color: rgba(255,255,255,0.5) !important;*background-color: rgb(255,255,255) !important;}”][vc_column_inner][vc_column_text]<\/p>\n

          \n
        1. Deep Learning untuk Deteksi Jenis dan Tingkat Kesegaran Ikan,\u00a0\u00a0Penelitian Disertasi Doktor<\/li>\n
        2. Fast Deep Learning Segmentation untuk Brain Tumor 3D MRI Image dan Prediksi Keberlangsungan Hidup Penderita, Penelitian Disertasi Doktor<\/li>\n
        3. Pemantauan Social Distancing Menggunakan Metode Deep Learning pada Video CCTV, PENELITIAN DEPARTEMEN<\/li>\n
        4. Penerjemah Aksara Bali pada Naskah Lontar Kuno Berbasis Aturan Pasang Aksara dan Deep Learning, Penelitian Disertasi Doktor<\/li>\n
        5. Pengembangan Aplikasi Deteksi COVID-19 Berbasis Citra Medis Menggunakan Metode Deep Learning, PENELITIAN DEPARTEMEN<\/li>\n
        6. Pengembangan Aplikasi Pengenalan Wajah, Pengukuran Suhu dan Pendeteksian Pemakaian Masker Secara Terintegrasi Menggunakan Deep Learning, PENELITIAN DEPARTEMEN<\/li>\n
        7. PENGEMBANGAN METODE IDENTIFIKASI JENIS KELAMIN DAN PENGELOMPOKAN USIA MANUSIA DARI RAMUS MANDIBULA RADIOGRAFI PANORAMIK, Penelitian Disertasi Doktor<\/li>\n
        8. Pengembangan Metode Initial Basic Feasible Solution Dengan Menggunakan Pendekatan Heuristik Untuk Mencapai Solusi Optimal Pada Transportation Problem, Penelitian Disertasi Doktor<\/li>\n
        9. Pengembangan Sistem Dual Lingual Information Retrieval Berbasis Web untuk Bahasa Indonesia-Bahasa Arab, PTUPT<\/li>\n
        10. Preservasi dan Temu Kembali Ukiran Bali Berbasis Keterkaitan Motif dan Deep Learning, Penelitian Disertasi Doktor<\/li>\n
        11. Rekonstruksi Objek Tiga Dimensi dari Data Citra Dua Dimensi Berbasis Pembelajaran, Penelitian Disertasi Doktor<\/li>\n
        12. Sistem Otomatisasi Perencanaan Implan Gigi berdasarkan Citra CBCT, Penelitian Disertasi Doktor<\/li>\n<\/ol>\n

          [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][vc_tta_section title=”2020″ tab_id=”1673233631002-e0142b57-0bfe”][vc_row_inner css=”.vc_custom_1536814085266{margin-top: 5px !important;margin-bottom: 5px !important;background-color: rgba(255,255,255,0.5) !important;*background-color: rgb(255,255,255) !important;}”][vc_column_inner][vc_column_text]<\/p>\n

            \n
          1. Deteksi Kejadian di Perkotaan melalui Crowdsourcing Berbasis Informasi Spasial dan Temporal menggunakan Metode Deep Learning, PTUPT<\/li>\n
          2. Ekspansi Query dalam Pencarian Dokumen Berbahasa Arab, Penelitian Pendidikan Magister menuju Doktor untuk Sarjana Unggul<\/li>\n
          3. Fast Deep Learning Segmentation untuk Brain Tumor 3D MRI Image dan Prediksi Keberlangsungan Hidup Penderita, Penelitian Disertasi Doktor<\/li>\n
          4. PENGEMBANGAN METODE IDENTIFIKASI JENIS KELAMIN DAN PENGELOMPOKAN USIA MANUSIA DARI RAMUS MANDIBULA RADIOGRAFI PANORAMIK, Penelitian Disertasi Doktor<\/li>\n
          5. Pengembangan Metode Initial Basic Feasible Solution Dengan Menggunakan Pendekatan Heuristik Untuk Mencapai Solusi Optimal Pada Transportation Problem, Penelitian Disertasi Doktor<\/li>\n
          6. PENGEMBANGAN METODE OTOMATISASI PENILAIAN SOAL URAIAN BAHASA INDONESIA DENGAN PENDEKATAN TRANSFER LEARNING DEEP NEURAL NETWORK, Penelitian Tesis Magister<\/li>\n
          7. Pengenalan Plat Nomor Kendaraan pada Data Video CCTV untuk Pengembangan Smart Gate Parking System
            \ndi Departemen Teknik Informatika ITS, PENELITIAN DANA DEPARTEMEN<\/li>\n
          8. Pengukuran antusiasme mahasiswa dalam perkuliahan menggunakan hasil pengenalan ekspresi wajah pada sistem monitoring perkuliahan berbasis video, PENELITIAN DANA DEPARTEMEN<\/li>\n
          9. Rekonstruksi Objek Tiga Dimensi dari Data Citra Dua Dimensi Berbasis Pembelajaran, Penelitian Disertasi Doktor<\/li>\n<\/ol>\n

            [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][vc_tta_section title=”2019″ tab_id=”1673233217721-be51671c-b892″][vc_row_inner css=”.vc_custom_1536814085266{margin-top: 5px !important;margin-bottom: 5px !important;background-color: rgba(255,255,255,0.5) !important;*background-color: rgb(255,255,255) !important;}”][vc_column_inner][vc_column_text]<\/p>\n

              \n
            1. Deteksi Kejadian di Perkotaan melalui Crowdsourcing Berbasis Informasi Spasial dan Temporal menggunakan Metode Deep Learning, PTUPT<\/li>\n
            2. Ekspansi Query dalam Pencarian Dokumen Berbahasa Arab, Penelitian Pendidikan Magister menuju Doktor untuk Sarjana Unggul<\/li>\n
            3. Pengembangan Framework Data Publikasi Ilmiah untuk Rekomendasi Sitasi Berdasarkan Topik Penelitian, PENELITIAN DANA DEPARTEMEN<\/li>\n
            4. Pengembangan Sistem Pengenalan Karakter Pada Citra Dokumen Tulisan Tangan, Penelitian Tesis Magister<\/li>\n
            5. Pengenalan Citra Kain Tradisional Melalui Kamera Smartphone Menggunakan Fitur yang Invariant terhadap Rotasi, Skala, dan Pencahayaan, Penelitian Tesis Magister<\/li>\n
            6. Sistem Pengukuran Kualitas Tulang berdasarkan Citra Dental Cone Beam Computerized Tomography, PTUPT<\/li>\n<\/ol>\n

              [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][vc_tta_section title=”2018″ tab_id=”1673232863533-45e226a5-ada1″][vc_row_inner css=”.vc_custom_1536814085266{margin-top: 5px !important;margin-bottom: 5px !important;background-color: rgba(255,255,255,0.5) !important;*background-color: rgb(255,255,255) !important;}”][vc_column_inner][vc_column_text]<\/p>\n

                \n
              1. Pengenalan Wajah pada Data Video untuk Pengawasan Ruangan,Lab-based Education,Lokal,Dr. Eng. Nanik Suciati, S.Kom, M.Kom,Dr. Eng. Chastine Fatichah, S.Kom, M.Kom,Wijayanti Nurul Khotimah, S.Kom., M.Sc.,Luqman Ahmad,Andreas Galang Anugerah<\/li>\n
              2. KLASTERISASI TREN TOPIK PENELITIAN UNTUK REKOMENDASI PENGADAAN BAHAN PUSTAKA DI PERPUSTAKAAN ITS,Penelitian Kajian Kebijakan,Nasional,Dini Adni Navastara S.Kom., M.Sc.<\/li>\n
              3. SISTEM CERDAS UNTUK TEMU KEMBALI INFORMASI PADA DOKUMEN BERBAHASA ARAB,Penelitian Pendidikan Magister menuju Doktor untuk Sarjana Unggul,Nasional,Dr. Agus Zainal Arifin, S.Kom.,M.Kom.,Dr. Eng. Chastine Fatichah, S.Kom, M.Kom.<\/li>\n
              4. Sistem Deteksi Dini Osteoporosis Menggunakan Fitur Kondilus pada Citra Panorama Gigi,Penelitian Pendidikan Magister menuju Doktor untuk Sarjana Unggul,Nasional,Dr. Agus Zainal Arifin, S.Kom.,M.Kom.,Dr. Eng. Nanik Suciati, S.Kom, M.Kom,,Raras<\/li>\n
              5. Deteksi Kejadian di Perkotaan melalui Crowdsourcing Berbasis Informasi Spasial dan Temporal menggunakan Metode Deep Learning,Penelitian Terapan Unggulan Perguruan Tinggi,Nasional,Dr. Eng. Chastine Fatichah, S.Kom, M.Kom,Dr. Eng. Nanik Suciati, S.Kom, M.Kom,Abdul Munif, S.Kom.,M.Sc.<\/li>\n
              6. Educational Data Mining Berbasis Klasifikasi Untuk Menganalisis Mahasiswa Berpotensi Berhenti Kuliah Pada Kasus Imbalanced Class Distribution,Penelitian Kerjasama Perguruan Tinggi,Nasional,Siti Mutrofin,Dr. Eng. Chastine Fatichah, S.Kom, M.Kom.<\/li>\n
              7. Deteksi Awal Jenis Pohon Mangga Dengan Aplikasi Perangkat Mobile Android Berdasarkan Warna dan Tekstur Daun,Penelitian Kerjasama Perguruan Tinggi,Nasional,Eko Prasetyo,Dr. Eng. Nanik Suciati, S.Kom, M.Kom,Dr. Eng. Chastine Fatichah, S.Kom, M.Kom.<\/li>\n
              8. Pembuatan Sistem Penerjemah Bahasa Isyarat Bahasa Indonesia untuk Alat Bantu Komunikasi bagi Tuna Rungu Menggunakan Deep Learning.,Penelitian Pemula,Lokal,Wijayanti Nurul Khotimah S.Kom., M.Sc.,Dr. Eng. Nanik Suciati, S.Kom, M.Kom.<\/li>\n
              9. Kombinasi Fitur Histogram of Oriented Gradients dan Local Binary Patterns untuk Klasifikasi Jenis Kendaraan,Penelitian Departemen,Lokal,Dini Adni Navastara, S.Kom., M.Sc.<\/li>\n<\/ol>\n

                [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][vc_tta_section title=”2017″ tab_id=”1535122210566-7a622a98-fe6a”][vc_row_inner css=”.vc_custom_1536814085266{margin-top: 5px !important;margin-bottom: 5px !important;background-color: rgba(255,255,255,0.5) !important;*background-color: rgb(255,255,255) !important;}”][vc_column_inner][vc_column_text]<\/p>\n

                \n
                  \n
                1. Pengembangan Perangkat Lunak Sistem Pengenal Keadaan Mental Manusia Berdasarkan Gelombang Aktifitas Otak EEG, Handayani Tjandrasa, PTUPT<\/li>\n
                2. Pengembangan Sistem Pengukuran Otomatis Kualitas Tulang Berdasarkan Tulang Trabekula pada Leher Kondilus, Agus Zainal Arifin, PTUPT<\/li>\n
                3. Deteksi Awal Jenis Pohon Mangga Dengan Aplikasi Perangkat Mobil eAndroid Berdasarkan Warna dan Tekstur Daun, Eko Prasetyo (Universitas Bhayangkara), Nanik Suciati, Chastine Fatichah, Pekerti<\/li>\n
                4. Deep Learning Untuk Temu Kembali Data Citra Berjumlah Besar, Nanik Suciati, LBE<\/li>\n
                5. Kombinasi Informasi Spasial dan Fitur Garis pada Adaptive Classifier Untuk Segmentasi Tulang Trabkula Pada Dental Panaromic Radiograph, Dini Adni Navastara<\/li>\n<\/ol>\n<\/div>\n

                  [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][\/vc_tta_tabs][vc_empty_space][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” css_animation=”bounceIn” title=”Publications” id=”PublikasiKCV”][\/dot_custom_title][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n
                  LECTURE<\/span><\/strong><\/td>\nSCOPUS<\/span><\/strong><\/td>\nGOOGLE SCHOLAR<\/span><\/strong><\/td>\nSINTA<\/span><\/strong><\/td>\n<\/tr>\n
                  1. Prof. Dr. Eng. Nanik Suciati, S.Kom, M.Kom<\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\n<\/tr>\n
                  2. Prof. Dr. Eng. Chastine Fatichah, S.Kom, M.Kom<\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\n<\/tr>\n
                  3. Prof. Ir. Handayani Tjandrasa ,M.Sc, Ph.D<\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\n<\/tr>\n
                  4. Prof. Dr. Agus Zainal Arifin, S.Kom, M.Kom<\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\n<\/tr>\n
                  5. Dini Adni Navastara, S.Kom, M.Sc<\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\n<\/tr>\n
                  6. Aldinata Rizky Revanda, S.Kom., M.Kom.<\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\n<\/tr>\n
                  7. Imam Mustafa Kamal, S.ST, Ph.D<\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\nclick here<\/a><\/td>\n<\/tr>\n
                  <\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

                  [\/vc_column_text][vc_empty_space][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” css_animation=”bounceIn” title=”Community Services” id=”PengmasKCV”][\/dot_custom_title][vc_tta_tabs style=”outline” shape=”less” active_section=”1″ el_class=”overlay-blue tab_home” css=”.vc_custom_1536814913241{padding-top: 25px !important;padding-right: 25px !important;padding-bottom: 25px !important;padding-left: 25px !important;}”][vc_tta_section title=”2023″ tab_id=”1536815104628-4af1636e-4d80″][vc_row_inner css=”.vc_custom_1536814085266{margin-top: 5px !important;margin-bottom: 5px !important;background-color: rgba(255,255,255,0.5) !important;*background-color: rgb(255,255,255) !important;}”][vc_column_inner][vc_column_text]<\/p>\n

                    \n
                  1. Pemanfaatan Teknologi Informasi untuk Peningkatan Kualitas Pembelajaran pada SD Yapita Surabaya<\/li>\n<\/ol>\n

                    [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][vc_tta_section title=”2022″ tab_id=”1706695720467-bb12e564-d47c”][vc_row_inner css=”.vc_custom_1536814085266{margin-top: 5px !important;margin-bottom: 5px !important;background-color: rgba(255,255,255,0.5) !important;*background-color: rgb(255,255,255) !important;}”][vc_column_inner][vc_column_text]<\/p>\n

                      \n
                    1. Pemanfaatan teknologi Informasi Untuk Peningkatan Kualitas Pembelajaran pada SDN Sutorejo 1\/240 Surabaya<\/li>\n<\/ol>\n

                      [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][vc_tta_section title=”2021″ tab_id=”1673424918594-6a773c0b-c24c”][vc_row_inner css=”.vc_custom_1536814085266{margin-top: 5px !important;margin-bottom: 5px !important;background-color: rgba(255,255,255,0.5) !important;*background-color: rgb(255,255,255) !important;}”][vc_column_inner][vc_column_text]<\/p>\n

                        \n
                      1. Pengembangan Branding Kawasan Binaan Unit Usaha Pondok Pesantren (Koppontren) Menuju Sertifikasi Halal Di Kabupaten Bangkalan<\/li>\n
                      2. Pemanfaatan Teknologi Informasi untuk Peningkatan Ekonomi dan Proses Bisnis UMKM Kopontren Addimyathy Nurul Iman di Labang Bangkalan Madura<\/li>\n
                      3. Pelatihan Pemanfaatan Aplikasi Perangkat Lunak Untuk Mendukung Proses Pembelajaran Daring Pada Guru Sekolah Menengah di Tulungagung<\/li>\n<\/ol>\n

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                          \n
                        1. PENINGKATAN KAPABILITAS UMKM PONDOK PESANTREN RMI \u00e2\u20ac\u201c NU SURABAYA MENUJU PRODUK BERSERTIFIKASI HALAL<\/li>\n
                        2. Pembuatan Alat Bantu Belajar 3D untuk Siswa Tuna Netra di SMPLB YPAB Surabaya<\/li>\n
                        3. Pengembangan Kapasitas Pengelola Pendidikan dalam Penyusunan Materi Pembelajaran Berbasis Multimedia di Pondok Pesantren Miftahul Ulum Al-Islamy Modung, Bangkalan<\/li>\n
                        4. PENDAMPINGAN UNIT USAHA KOPERASI PONDOK PESANTREN MENUJU SERTIFIKASI HALAL GUNA MEWUJUDKAN PRODUK YANG HALALAN THAYYIBAN DI KABUPATEN BANGKALAN<\/li>\n<\/ol>\n

                          [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][vc_tta_section title=”2019″ tab_id=”1673424794578-be68d0ca-8192″][vc_row_inner css=”.vc_custom_1536814085266{margin-top: 5px !important;margin-bottom: 5px !important;background-color: rgba(255,255,255,0.5) !important;*background-color: rgb(255,255,255) !important;}”][vc_column_inner][vc_column_text]<\/p>\n

                            \n
                          1. Pengembangan Game Simulasi untuk efektifitas pemilihan jalur jama’ah tawaf berbasis teknologi virtual reality,<\/li>\n
                          2. Pembuatan Alat Bantu Belajar 3D untuk Siswa Tuna Netra di SMPLB YPAB Surabaya<\/li>\n<\/ol>\n

                            [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][vc_tta_section title=”2018″ tab_id=”1673424725836-3a9c3d7f-2586″][vc_row_inner css=”.vc_custom_1536814085266{margin-top: 5px !important;margin-bottom: 5px !important;background-color: rgba(255,255,255,0.5) !important;*background-color: rgb(255,255,255) !important;}”][vc_column_inner][vc_column_text]<\/p>\n

                              \n
                            1. Pembuatan Aplikasi Konversi Data Foto ke Pahatan 3D untuk Pengenalan Obyek bagi Penyandang Tuna Netra,Abdimas berbasis penelitian,Dr. Eng. Nanik Suciati, S.Kom, M.Kom,Prof.Ir.Handayani Tjandrasa, M.Sc, Ph.D.,Dr. Agus Zainal Arifin, S.Kom, M.Kom,Dr. Eng. Chastine Fatichah, S.Kom, M.Kom,Dini Adni Navastara, S.Kom., M.Sc.,Nuzul,Randy,Sumber Dana Lokal ITS<\/li>\n
                            2. Pengembangan Kapasitas Pengelola Pendidikan Diniyah dalam Penyusunan Materi Pembelajaran Berbasis Multimedia,Abdimas Departmen,Dr. Agus Zainal Arifin, S.Kom, M.Kom,Dini Adni Navastara, S.Kom., M.Sc.,Chasni,,Sumber Dana Mandiri<\/li>\n<\/ol>\n

                              [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tta_section][\/vc_tta_tabs][vc_cta h2=”Lecturers Member Intelligent Computing and Vision Laboratory” txt_align=”center” style=”outline” add_button=”bottom” btn_title=”VIEW MORE” btn_style=”outline” btn_align=”center” btn_css_animation=”bounceIn” css_animation=”bounceIn” btn_button_block=”true” btn_link=”url:https%3A%2F%2Fwww.its.ac.id%2Finformatika%2Fdosen-staff%2Fdaftar-dosen%2F%23DosenAnggotaKCV|||” el_class=”overlay-blue” btn_el_class=”overlay-yellow”][\/vc_cta][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n

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                              [\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

                              [vc_row][vc_column width=”1\/3″][vc_empty_space][dot_sidebar_menu select_menu=”sidebar-kcv-en”][vc_empty_space][vc_video link=”https:\/\/youtu.be\/IxakRCUDjr8?si=cEWz68B2QGQUDfEL”][dot_post_list_widget cat=”kcv-en” style=”1″ show_date=”0″ title=”News” max_post=”3″ read_more=”Read More”][vc_empty_space][join_help_box][\/vc_column][vc_column width=”2\/3″][vc_empty_space][dot_custom_title position_text=”left” font_style=”AvenirNextLTPro-DemiCn” css_animation=”bounceIn” title=”Intelligent Computing and Vision Laboratory” id=”ProfilKCV”][\/dot_custom_title][vc_empty_space][vc_row_inner][vc_column_inner width=”1\/3″][vc_single_image image=”7296″][vc_column_text css=”.vc_custom_1684810362008{margin-bottom: -25px !important;}”] Prof. Dr.Eng. Nanik Suciati, S.Kom,M.Kom Head of Laboratory Email: nanik@if.its.ac.id initial,\u00a0NS[\/vc_column_text][dot_custom_button border_style=”rightrnd leftrnd ” font_style=”AvenirNextLTPro-DemiCn” title=”detail” font_size=”12″ bg_col=”#ffbd07″ txt_color=”#013880″ class=”mt-5″ css=”.vc_custom_1536816789024{margin-top: -25px !important;}” href=”url:https%3A%2F%2Fwww.its.ac.id%2Finformatika%2Fprofil-nanik-suciati%2F|||”][\/vc_column_inner][vc_column_inner width=”2\/3″][vc_column_text]Welcome to the Intelligent Computing […]<\/p>\n","protected":false},"author":136,"featured_media":10043,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/page-its.php","meta":{"_joinchat":[],"footnotes":""},"class_list":["post-3210","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nIntelligent Computing and Vision Laboratory - ITS<\/title>\n<meta name=\"description\" content=\"Intelligent Computing and Vision Laboratory - Depertmen of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.its.ac.id\/informatika\/en\/intelligent-computing-and-vision-laboratory\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Intelligent Computing and Vision Laboratory - 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