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Journal : CommIT (Communication

Segmentation of Overlapping Cervical Cells in Normal Pap Smear Images Using Distance-Metric and Morphological Operation Kurniawan, Rahadian; Muhimmah, Izzati; Kurniawardhani, Arrie; Indrayanti, Indrayanti
CommIT (Communication and Information Technology) Journal Vol 11, No 1 (2017): CommIT Vol. 11 No. 1 Tahun 2017
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.
Development of Game for Self-Help Toilet Learning for Children with Autism Kurniawan, Rahadian; Purnamasari, Wuriandietry Mayang; Rakhmawati, Restu; Jalaputra, Dimas Panji Eka
CommIT (Communication and Information Technology) Journal Vol 12, No 1 (2018): CommIT Vol. 12 No. 1 Tahun 2018
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v12i1.4112

Abstract

This study aims to develop a video game for toilet training materials as a medium for self-help learning for children with autism. Toileting skill is one of the basic self-help skills that children should master. In fact, teaching new things to children with autism is challenging. It requires a proper method to deliver the materials to these children. One of the effective learning media to teach self-help is to use visual media like video games. By using video games, children are expected to play and learn self-help skills, particularly about toileting. In addition, the video game is developed by applying certain design principles that fit with the needs of children with autism. The software is tested for its functionalities. Moreover, an implementation test is done by using observation communication analysis. Based on the results, the researchers conclude that the developed video game has implemented the proper design and materials related to toileting in accordance with the needs of children with autism. The respondents show positive results for using the video game.
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.
Development of Game for Self-Help Toilet Learning for Children with Autism Rahadian Kurniawan; Wuriandietry Mayang Purnamasari; Restu Rakhmawati; Dimas Panji Eka Jalaputra
CommIT (Communication and Information Technology) Journal Vol. 12 No. 1 (2018): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v12i1.4112

Abstract

This study aims to develop a video game for toilet training materials as a medium for self-help learning for children with autism. Toileting skill is one of the basic self-help skills that children should master. In fact, teaching new things to children with autism is challenging. It requires a proper method to deliver the materials to these children. One of the effective learning media to teach self-help is to use visual media like video games. By using video games, children are expected to play and learn self-help skills, particularly about toileting. In addition, the video game is developed by applying certain design principles that fit with the needs of children with autism. The software is tested for its functionalities. Moreover, an implementation test is done by using observation communication analysis. Based on the results, the researchers conclude that the developed video game has implemented the proper design and materials related to toileting in accordance with the needs of children with autism. The respondents show positive results for using the video game.
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 Abdullah Abdullah Achmad Khodzim Affan Mahtarami Affan Mahtarami, Affan Agung Wibowo Agus Darmawan Ahmad R Pratama Ahmad, Lugie Nur Ananda, Devi Rizki Dwi Andri Panca Purnama Aridhanyati Arifin Arrie Kurniawardhani Aziz, Muhammad Thariq Dhina Puspasari Wijaya, Dhina Puspasari Dhomas Hatta Fudholi Dimas Panji Eka Jalaputra Dimas Panji Eka Jalaputra Erlina Marfianti, Erlina Fahzya, Mayla Fajar Suryani Fakhrunnisa, Syuhda Farhan Ramadhan Ramadhan Fatmawati Fauzan, Harist Asyari Febriana Kurniasari Hardiyanti, Cicin Hasibuan, Yusuf Helmi Gunawan Heksaputra, Dadang Helmi Roichatul Jannah Hepi Wahyuningsih Heru Widianto Himawan, Helmy Fachreza Ihsanuddin, Muhammad Rafli Indrayanti, Indrayanti Indrayanti, Indrayanti Insan Fikrudin Irfansyah, Naufal Herma Irving Vitra Paputungan Iswara, Ruhil Izzati Muhimmah Izzati Muhimmah Jalaputra, Dimas Panji Eka Jalaputra, Dimas Panji Eka Kukuh Eka Nugraha Kukuh Eka Nugraha Chrisna Putra Kusumah, Akmal Fauzi Lestari, Tri Mukti Maharani, Fahni Maharani, Yeni Sri Mufti Syawaludin Muhammad Alifa Rahmatulloh Muhimmah, Izzati Naufal Hanan Oktavanusa Paputungan , Irving Vitra Prabowo, Mei Prasetyo, Alan Dwi Purnama, Andri Panca Purnamasari, Wuriandietry Mayang Raden Bagoes Yudha Rangga Sanjaya Rais Habibi Tsani Rakhmawati, Restu Rakhmawati, Restu Ratih Sekar Wulan Rizki Surtiyan Surya Sasmito, Dinda Eling K Sasmito, Dinda Eling Kartikaning Satrio Wisnugroho, Satrio Setiaji, Hari Sri Kusumadewi Sri Martianingsih Jibran sri mulyati Subayu, Abdi Sujarwo, Ari Suryani, Fajar Syarvani, Alif Gibran SYAUQI MAULANA NASRIANTO Tanti, Wa Ode Triananta, Muhammad Fauzan Widodo, Agas Arya Wuriandietry Mayang Purnamasari Yasmini Fitriyati, Yasmini Yuantari, Rahma