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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) TEKNIK Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Agrikultura Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) ASAS : Jurnal Hukum Ekonomi Syariah Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Madura Planta Tropika Jurnal Hukum Novelty Kultivasi METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Biosaintifika: Journal of Biology & Biology Education Journal of Tropical Crop Science Jurnal Kesehatan Buletin Ilmiah Sarjana Teknik Elektro Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Journal of Energy and Electrical Engineering (JEEE) International Journal of Robotics and Control Systems Jurnal Ilmu Komputer dan Informatika Jurnal Locus Penelitian dan Pengabdian Jurnal Pengabdian Masyarakat Jurnal Pusat Inovasi Masyarakat Jurnal Ilmu Komputer dan Teknologi (IKOMTI) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Journal of Advanced Health Informatics Research Control Systems and Optimization Letters Jurnal Multidisiplin Pengabdian Masyarakat (JMPM) Jurnal Ilmiah Ekonomi Terpadu Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Purwono Purwono, Purwono
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : Journal of Advanced Health Informatics Research

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Virus Host Prediction with Metagenomic Features using Support Vector Machine Algorithm and Grid Search Cross Validation Optimization Purwono, Purwono; Annastasya Nabila Elsa Wulandari; Novieta Hardeani Sari
Journal of Advanced Health Informatics Research Vol. 2 No. 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jahir.v2i3.298

Abstract

Viruses and bacteria continue to evolve alongside humans. Viruses are spreading too fast and causing a huge loss of life in the world. Viruses play an important role as dangerous pathogens that continue to spread various infectious diseases. Metegenomics is the application of large sequencing technology to genetic material obtained directly from one or more environmental samples, resulting in at least 50Mb random samples and multiple long sequences. It is important to identify the origin of the virus to prevent the spread of outbreaks. Understanding the biology of these viruses and how they affect their ecosystems depends on knowing which host they infect. We can use metagenomic features derived from the viral genome to determine the type of virus host. The activity of predicting virus hosts has traditionally taken a lot of time and effort in the process. Technology can be one of the solutions that can be used to predict virus host types. One of the technologies that can be used is machine learning. We chose one of the machine learning algorithms, SVM, to predict viral hosts with metagenomics features, namely genome size, GC% and number of CDS from viral genomes derived from 7326 viral genomes. The SVM model was further optimised with GS and K-CV methods. This optimisation resulted in an increase in the accuracy value of the model when predicting virus hosts from 80% to 84%.
Potential Use of U-Net and Fuzzy Logic in Diabetic Foot Ulcer Segmentation: A Comprehensive Review Rachman Hidayat; Annastasya Nabila Elsa Wulandari; Purwono, Purwono; Khoirun Nisa
Journal of Advanced Health Informatics Research Vol. 2 No. 3 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jahir.v2i3.299

Abstract

Diabetic foot ulcer (DFU) image segmentation is still an interesting concern of researchers. Various new deep learning-based methods have been proposed to handle this image segmentation problem. Some research problems that are still faced by many researchers are dataset problems that are considered limited and need further clinical trials. The challenges of data problems include heterogeneity and image quality variations in the shape of skin lesions and subjectivity when annotating. The evaluation results from previous studies also show a considerable difference where there are still low accuracy results, but also too high accuracy is still found so that it is considered to have the potential for overfitting. As a result of the review of various related studies, there is an interesting potential of applying fuzzy logic to the U-Net architecture. This architecture has become very popular because it is widely used in medical image segmentation. The application of fuzzy logic can be applied to the U-Net architecture such as encoder, decoder, skip connection to adjust various U-Net parameters.
Co-Authors Adji, Diva Permata Adriani, Vita Afrilies, Marlia Hafny Agung Karuniawan AHMAD JUNAEDI Ainurrofiq, Mohammad Naffah Alfian Ma’arif Anas Dinurrohman Susila Anik Sarminingsih, Anik Annastasya Nabila Elsa Wulandari Annida Unnatiq Ulya Ardhi Ristiawan Ardianto, Rian Arfianto, Irfan Arif Setia Sandi A. Arya Rezagama Bala Putra Dewa Basil, Noorulden Budi Nugroho Cahyani, Gesa Nur Deli, Syekh Zulfadli Arofah Dewa, Bala Putra Dharend Lingga Wibisana Dita Purwinda Anggrella Dyah, Dwi Tristining Eka Maulidiya, Sherly Eka Wardhani S., Eka Eso Solihin Fadillah, Arvin Muhammad Fakhri Zahi Mumtaza Fathurrahman, Haris Imam Karim Fathurrohman Husen Fatmawati, Puput Yosi Febria Cahya Indriani Fitriansyah, Muhammad Ramdhani Frisky, Aufaclav Zatu Kusuma Frutos, Roger Garunja, Evis Hadi Jayusman Hadiyanto Hadiyanto Hamdani, Kiki Kusyaeri Haq, Qazi Mazhar ul Hermanto Hermanto Hermawan Hermawan I Ketut Suada Imam Ahmad Ashari Imam Ahmad Ashari, Imam Ahmad Indriyanto, Jatmiko Irdika Mansur Istiqomah, Hani Janu Saptari, Janu Jayusman, Hadi Josef, Hari Kusnanto Ketty Suketi Khairani Khairani KHOIRUN NISA Kurniawati, Ari Lutviana Lutviana, Lutviana Mahfud Afandi, Mahfud Mangkunegara, Iis Setiawan Marhoon, Hamzah M. Marlin Sefrila Maulana, Haris Maya Melati Mei Ahyanti Mia Yustika, Mia Mochtar Hadiwidodo Mohamad Rahmad Suhartanto Mohammad Fatkhul Mubin, Mohammad Fatkhul Monica Puspa Dewi Muhammad Amin Bakri Mukhlishin , Mukhlishin Munif Ghulamahdi murwanto, bambang Nadia Nuraniya Kamaluddin Nandang Hermanto Novieta Hardeani Sari Nurfaiz, Agus Nurhalizah, Ria Suci Nurul Fajri Ramadhani, Nurul Fajri Nurwulan Purnasari Pangesti, Lintang Desy Pascawati, Nur Alvira Prabowo, Zuhda Nur Purwaningsih, Wida Putra, Jessa Syah Putri, Korisa Putri, Lystiana Dewi Rachman Hidayat Rahayu, Nur Laila Rahmaniar, Wahyu Restuono, Joko Rija Sudirja Rumbiwati, Rumbiwati Safa Kiana Salah, Wael A. Sandra Arifin Aziz Santoso, Dwi Andreas Saphira, Debby Bella Sarwono Sarwono Satriya Pranata Sefrila, Marlin Septin Puji Astuti Setiyaningrum, Ika Feni Setyo Supratno Sharkawy, Abdel-Nasser Silviani, Wahyu Dian Simanjuntak, Efendi Siti Aisah Sudirman Yahya Suryo Wiyono Syaiful Anwar Tazhdinov, Magomed Titik Istirokhatun Tri Baskoro Satoto, Tri Baskoro Tri Yulianti Tri Yulianti, Tri Trigunarso, Sri Indra Tristiyaningrum, Diana Tuny, Nurfitriyana Vranada, Aric Wiharyanto Oktiawan Wiwit Rahajeng Wulandari, Annastasya Nabila Elsa Y.Paidjo Y.Paidjo, Y.Paidjo Yuris Tri Naili