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All Journal snimed EKSAKTA: Journal of Sciences and Data Analysis Jurnal Teknoin Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) CommIT (Communication & Information Technology) Jurnal Teknologi Informasi dan Ilmu Komputer Journal of ICT Research and Applications INFORMAL: Informatics Journal Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Kesehatan Komunitas JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI KACANEGARA Jurnal Pengabdian pada Masyarakat Jiko (Jurnal Informatika dan komputer) IJID (International Journal on Informatics for Development) Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Informatika dan Rekayasa Elektronik bit-Tech JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) E-Link: Jurnal Teknik Elektro dan Informatika Automata Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan JURNAL TEKNOLOGI TECHNOSCIENTIA Enthusiastic : International Journal of Applied Statistics and Data Science Cermin Dunia Kedokteran Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Jurnal Informatika: Jurnal Pengembangan IT JURNAL TEKNIK INFORMATIKA DAN KOMPUTER Cermin Dunia Kedokteran
Izzati Muhimmah
Department Of Informatics, Universitas Islam Indonesia, Jalan Kaliurang Km. 14, Yogyakarta 55501
Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

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Journal : commit communication

 1 
Segmentation of Tuberculosis Bacilli Using Watershed Transformation and Fuzzy C-Means Kurniawan, Rahadian; Muhimmah, Izzati; Kurniawardhani, Arrie; Kusumadewi, Sri
CommIT (Communication and Information Technology) Journal Vol 13, No 1 (2019): CommIT Vol. 13 No. 1 Tahun 2019
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v13i1.5119

Abstract

The easily transmitted Tuberculosis (TB) disease is attributed to the fact that Mycobacterium Tuberculosis (MTB) bacteria/viruses can be transmitted through the air. One of the methods to screen the TB disease is by reading sputum slides. Sputum slides are colored sputum samples of TB patients placed on microscopic slides. However, TB disease microscopic analysis has some limitations since it requires high accuracy reading and well-trained health personnel to avoid errors in the process of interpretation. Furthermore, the number of TB patients in the Primary Health Care (PHC) and the process of manual calculation of bacteria in a field of view often complicate the decision-making in the screening process conducted by the medical staffs. In this paper, the researchers propose the use of Watershed Transformation and Fuzzy C-Means combination to help solve the problem. The researchers collect the photo shooting of three PHC in Indonesia with 55 images of sputum from different TB patients. The assessed results of the proposed method are compared with the opinions of three Microbiology doctors. The comparison shows Cohen’s Kappa Coefficient value of 0.838. It suggests that the proposed method can detect Acid Resistant Bacteria (ARB) although it needs some improvement to achieve higher accuracy.
Segmentation of Overlapping Cervical Cells in Normal Pap Smear Images Using Distance-Metric and Morphological Operation Rahadian Kurniawan; Izzati Muhimmah; Arrie Kurniawardhani; Indrayanti Indrayanti
CommIT (Communication and Information Technology) Journal Vol. 11 No. 1 (2017): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v11i1.1957

Abstract

The automatic interpretation of Pap Smear image is one of challenging issues in some aspects. Accurate segmentation for each cell is an important procedurethat must be done so that no information is lost during the evaluation process. However, the presence of overlapping cells in Pap Smear image make the automated analysis of these cytology images become more difficult. In most ofthe studies, cytoplasm segmentation is the difficult stage because the boundaries between cells are very thin. In this study, we propose an algorithm that can segment the overlapping cytoplasm. First, the morphology operation and global thresholding to segment cytoplasm is done. Second, the overlapping area on cytoplasm region is separated using morphological operation and distance criteria on each pixel. The proposed method has been evaluated against the results of manual tracing by experts. The experiment results show that the proposed method can segment the overlapping cytoplasm as similar as experts do, i.e., 2:897 3:632 (mean std) using Hausdorff distance.
Segmentation of Tuberculosis Bacilli Using Watershed Transformation and Fuzzy C-Means Rahadian Kurniawan; Izzati Muhimmah; Arrie Kurniawardhani; Sri Kusumadewi
CommIT (Communication and Information Technology) Journal Vol. 13 No. 1 (2019): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v13i1.5119

Abstract

The easily transmitted Tuberculosis (TB) disease is attributed to the fact that Mycobacterium Tuberculosis (MTB) bacteria/viruses can be transmitted through the air. One of the methods to screen the TB disease is by reading sputum slides. Sputum slides are colored sputum samples of TB patients placed on microscopic slides. However, TB disease microscopic analysis has some limitations since it requires high accuracy reading and well-trained health personnel to avoid errors in the process of interpretation. Furthermore, the number of TB patients in the Primary Health Care (PHC) and the process of manual calculation of bacteria in a field of view often complicate the decision-making in the screening process conducted by the medical staffs. In this paper, the researchers propose the use of Watershed Transformation and Fuzzy C-Means combination to help solve the problem. The researchers collect the photo shooting of three PHC in Indonesia with 55 images of sputum from different TB patients. The assessed results of the proposed method are compared with the opinions of three Microbiology doctors. The comparison shows Cohen’s Kappa Coefficient value of 0.838. It suggests that the proposed method can detect Acid Resistant Bacteria (ARB) although it needs some improvement to achieve higher accuracy.
Co-Authors -, Indrayanti adelia sukma ardana Adeniar Yusnina Agung Purwo Wicaksono Agus Darmawan Ahmed Mohammed Mohammed Nasser Alghaili Ainan Nur Andhika Pratama Arif Sulaksana Putra Arrie Kurniawardhani Astrianty, Ledy Elsera Ause Labellapansa, Ause Azhari, M. Fauzan Aziz, Muhammad Thariq Dan Jeric Arcega Rustia Darmawan - Deny Rahmalianto Dhina Puspasari Wijaya, Dhina Puspasari Dhomas Hatta Fudholi Dimas Panji Eka Jalaputra Dimas Panji Eka Jalaputra Erika RE Denton Erlina Marfianti, Erlina Fajarwibowo, Dhimas Fajriyah, Rohmanul Franz, Annafi’ Galang Prihadi Mahardhika, Galang Prihadi Gracianna Devi, Micha Heksaputra, Dadang Helmi Roichatul Jannah Herlambang, Penggalih M Herman Yuliansyah Ika Fidianingsih Ika Firdianingsih Indrayanti, Indrayanti Indrayanti, Indrayanti Indri Dwi Febriani Irawan, Dudi Ivantoni, Redha Jamhari Jamhari July Arifianto Kariyam - Khairul Hafidh Komariyuli Anwariyah Kusumaningrum, Shinta Dewi Lailiyatus Sa'adah Lalu Mutawalli Lantip Rujito Latriwulansuci, Latriwulansuci Lestari, Tri Mukti Linda Rosita Lizda Iswari Meilita . Moh Reza Syaifur Rizal Mufti Syawaludin Muhammad Atnang Muhammad Khalifah Milano Nazarudin, Zohan Novian Mahardika Putra Novyan Lusiyana Nurastuti Wijareni Nurdana Ahmad Fadil Oktavianto, Hardian Penggalih M Herlambang Penggalih M Herlambang Prabowo, Mei Rahadian Kurniawan Raisha Amini Rakhmawati, Restu Ratri Agung Nugraheni Reyer Zwiggelaar Riyanto, Didik Rizki Surtiyan Surya Rizky Eka Listanto Rohmatul Fajriyah Rohmatul Fajriyah Rositasari, Annisa S, Andika Bayu Sahriani Sasmito, Dinda Eling K Septia Rani Silvia Nurul Fata Smulders, Marinus J.M. Sri Kusumadewi Sri Winiarti TAUFIQ HIDAYAT Tien Budi Febriani Tito Yuwono, Tito Ummi Athiyah Wayan Tunas Artama Wigatning, Lestari H Wilda, Anisa Nurul Yasmini Fitriyati Yasmini Fitriyati, Yasmini Yuliansyah, Herman Yulianti, Ana ZAINUL ARIFIN