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All Journal HAYATI Journal of Biosciences Majalah Obat Tradisional The Indonesian Biomedical Journal JOIV : International Journal on Informatics Visualization JSFK (Jurnal Sains Farmasi & Klinis) FITOFARMAKA: Jurnal Ilmiah Farmasi Majalah Patologi Indonesia Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Narra J Indonesian Journal of Cancer Jurnal Riset Rumpun Ilmu Kedokteran (JURRIKE) The Indonesian Journal of Gastroenterology, Hepatology and Digestive Endoscopy Indonesian Journal of Medical Chemistry and Bioinformatics Journal of Innovative and Creativity Jurnal Kefarmasian Indonesia
Kusmardi Kusmardi
Departemen Patologi Anatomik, Fakultas Kedokteran, Universitas Indonesia Jakarta
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Earth & Planetary Sciences Education Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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SCOV-CNN: A Simple CNN Architecture for COVID-19 Identification Based on the CT Images Haryanto, Toto; Suhartanto, Heru; Murni, Aniati; Kusmardi, Kusmardi; Yusoff, Marina; Zain, Jasni Mohammad
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1750

Abstract

Since the coronavirus was first discovered in Wuhan, it has widely spread and was finally declared a global pandemic by the WHO. Image processing plays an essential role in examining the lungs of affected patients. Computed Tomography (CT) and X-ray images have been popularly used to examine the lungs of COVID-19 patients. This research aims to design a simple Convolution Neural Network (CNN) architecture called SCOV-CNN for the classification of the virus based on CT images and implementation on the web-based application. The data used in this work were CT images of 120 patients from hospitals in Brazil. SCOV-CNN was inspired by the LeNet architecture, but it has a deeper convolution and pooling layer structure. Combining seven and five kernel sizes for convolution and padding schemes can preserve the feature information from the images.  Furthermore, it has three fully connected (FC) layers with a dropout of 0.3 on each. In addition, the model was evaluated using the sensitivity, specificity, precision, F1 score, and ROC curve values. The results showed that the architecture we proposed was comparable to some prominent deep learning techniques in terms of accuracy (0.96), precision (0.98), and F1 score (0.95). The best model was integrated into a website-based system to help and facilitate the users' activities. We use Python Flask Pam tools as a web server on the server side and JavaScript for the User Interface (UI) Design
Tumor-infiltrating lymphocytes dan Peranannya pada Karsinoma Payudara Ditha Diana; Kusmardi
Majalah Patologi Indonesia Vol. 29 No. 1 (2020): MPI
Publisher : Perhimpunan Dokter Spesialis Patologi Anatomik Indonesia (PDSPA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55816/mpi.v29i1.405

Abstract

Infiltration of T lymphocyte cells in tumor tissue is a good prognosis in cancer patients. The infiltrating lymphocyte(TIL) tumor is the phenotype of CD4+ T lymphocytes and CD8+ T lymphocytes that infiltrate tumors. TIL can have abeneficial effect as well as a detrimental effect on breast carcinoma. There are three subtypes of T lymphocytes thatinfiltrate tumors which are T-helper (Th), T-citotoxic (Tc) and T-regulators (Treg). The role of Th lymphocytes in tumorimmunity can be divided into three phases, that are the initial induction phase, the phase maintaining the Tc responseas an effector and the memory formation phase. Th lymphocytes will secrete cytokines that can stimulate tumor cellsto increase the expression of MHC class I molecules, so that it will further optimize the function of Tc lymphocyticcytotoxicity which has the most dominant role in cytolytic tumor cells. Treg lymphocytes effectively suppressantitumor responses from Tc lymphocytes and other immune cells so that they can facilitate tumor development. Inbreast carcinoma, Treg lymphocytes have a different influence on each of the cancer subtypes.
PENYAKIT GINJAL KRONIS (CKD) STADIUM V - ON HD DENGAN EFUSI PLEURA: SEBUAH LAPORAN KASUS Athifa, Khasna Fayza; Sibli, Sibli; Kusmardi, Kusmardi
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.5251

Abstract

Penyakit ginjal kronis(PGK) adalah gangguan fungsi renal yang progresif dan irreversible, kemampuan tubuh gagal untuk mempertahankan metabolisme dan keseimbangan cairan dan elektrolit. Indonesian Renal Registry (IRR) melaporkan adanya peningkatan jumlah pasien hemodialisis dari tahun ke tahun. Salah satu komplikasi yang sering ditemukan adalah efusi pleura. Penelitian ini menggunakan metode laporan kasus dengan tujuan untuk menganailisis intervensi yang dilakukan terhadap pasien dengan penyakit Ginjal Kronis (CKD) Stadium V – On HD dengan Efusi Pleura. Tulisan ini menganalisis seorang laki-laki, berusia 25 tahun dengan Penyakit ginjal kronis dengan efusi pleura berdasarkan anamnesis, pemeriksaan fisik, serta pemeriksaan penunjang. Pasien datang dengan keluhan utama sesak sejak 10 jam SMRS. Keluhan sesak terutama saat pasien posisi berbaring, dan berkurang apabila saat posisi duduk. Pasien memiliki riwayat penyakit hipertensi, diabetes melitus, serta sudah menjalani hemodialisa selama 1 tahun. Pada pemeriksaan foto polos thorax didapatkan kesan edema pulmo dengan efusi pleura bilateral terutama dextra. Simpulan: Penyakit ginjal kronis merupakan penyakit progresif yang ditandai dengan penurunan fungsi ginjal yang irreversibel. Kondisi ini menyebabkan gangguan ekskresi cairan, elektrolit, serta akumulasi toksin metabolik yang berujung pada berbagai komplikasi sistemik. Pada stadium akhir, pasien umumnya memerlukan hemodialisis untuk mempertahankan homeostasis tubuh. Salah satu komplikasi yang sering muncul pada stadium lanjut adalah edema paru dan efusi pleura, akibat retensi cairan yang berlebihan. Pencegahan komplikasi memerlukan pendekatan multidisipliner, termasuk edukasi pasien mengenai pengaturan diet, pemantauan status cairan, kontrol tekanan darah, dan kepatuhan terhadap pengobatan sehingga kualitas hidup pasien dapat tetap dipertahankan.
Co-Authors . Syamsudin Adisti Dwijayanti Alfred Pakpahan, Alfred Aniati Murni Anwar S. Ibrahim Anwar S. Ibrahim Aprilliyani, Ifana Ariadi Humardhani Ariffandi, Bagas Arleni Bustami Aryo Tedjo Athifa, Khasna Fayza Atmaja, Fredy Wirya Azizah, Norma N. Berna Elya Budiana Tanurahardja Dewi Sukmawati Diah Rini Handjari Dian Ratih Laksmitawati Dimas Ramadhian N Ditha Diana Ditha Diana Dwira, Surya Dwitia Wulandari Endang SR. Hardjolukito Endang Sri Roostini Hardjolukito Enif Esti Triana Ening Krisnuhoni Erlina, Linda Erwina Muhadi Fadhillah, Muhamad Rizqy Fadilah Fadilah, Fadilah Fajriati, Annisa Hamdani Zain Hanum, Sitti Fatimah Hashim, Najihah M. Hayun Hayun, Hayun Hendig Winarno Heri Wibowo Heru Suhartanto Hikariastri, Pangartika Imelda Setiana Silitonga Irandi Putra Pratomo Ismalasari, Wahyu Jasni Mohammad Zain Khatimah, Nurul Gusti Kristanty, Diyah Ladeska, Vera Landyyun Rahmawan Sjahid Landyyun Rahmawan Sjahid Lestari, Tri Wahyuni Lili Indrawati Lubis, Nadar Sukri Megawati, Ajeng Muhammad Hanafi Murtiani, Farida Nina Yolanda Putri Noor, Dimas Ramadhian Novi Fajar Utami Nurdin, Wildawati Peni Kistijani Samsuria Putri Reno Intan Putri, Rizky Clarinta Rani Wardani Hakim Rino Patiatta Rohmat, Siti Saudah Shirly Kumala Sibli, Sibli Sri S. Ningsih, Sri S. Sri Suryo Adiyanti, Sri Suryo Surya Dwira Syamsu Nur, Syamsu Toto Haryanto Triana, Novi Virhan Novianry Vivi Setiawaty Wahyu Hidayati Wahyu Hidayati Wahyu Ismalasari Wawaimuli Arozal Widiantari, Aninda Dinar Wiwiek Ernajanti Wiyanto, Marwito Yulhasri Yulhasri Yusoff, Marina Yusra Yusra