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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknik ITS Proceedings of KNASTIK JUTI: Jurnal Ilmiah Teknologi Informasi Teknik dan Ilmu Komputer Seminar Nasional Informatika (SEMNASIF) Journal of Information Systems Engineering and Business Intelligence SISFO CCIT (Creative Communication and Innovative Technology) Journal Journal of Information System,Graphics, Hospitality and Technology ILKOMNIKA: Journal of Computer Science and Applied Informatics JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Sewagati Masip: Jurnal Manajemen Administrasi Bisnis dan Publik Terapan Proceeding of International Conference on Social Science and Humanity
Wiwik Anggraeni
Departemen Sistem Informasi Institut Teknologi Sepuluh Nopember
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : Jurnal Informatika

 1 
IDENTIFIKASI FAKTOR PREDIKSI DIAGNOSIS TINGKAT KEGANASAN KANKER PAYUDARA METODE STEPWISE BINARY LOGISTIC REGRESSION Vinarti, Retno Aulia; Anggraeni, Wiwik
Jurnal Informatika Vol 12, No 2 (2014): NOVEMBER 2014
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (235.712 KB) | DOI: 10.9744/informatika.12.2.70-76

Abstract

The World Health Organization (WHO) reported that deaths caused by cancer in the world these last four years has increased significantly. The data also reflected in the increase in breast cancer cases. In Indonesia, two cases also the highest cases of adult female deaths. Based on Hospital Information System, the number of breast cancer patients either inpatient or outpatient care amounted to 28.7%. This fact revealed more than 40% of all cancers can be prevented with early detection cancer. Role of Information Technology can implemented by data mining techniques to shorten the diagnosing time, accuracy and selection of factors early detection of breast cancer. Stepwise binary logistic regression method has the advantage to add and subtract the independent variables in accordance with level of significance of the model. Based on the analysis of weighting method, the highest four variables that should be more aware is the area of cancer (area), fineness (smoothness), the number of dots (concave points) or the nucleus of cancer and grayish level of cancer (texture). So the accuracy and processing speed of diagnosis of the severity of breast cancer can be improved through this method.
Co-Authors Achmad Holil Noor Ali Adri Gabriel Sooai Agustinus Bimo Gumelar Ahmad Mukhlason Ahmad Muklason Amalia Utamima Amalinda Jayanty Amira Herwindyani Hutasuhut Amna Shifia Nisafani Andreas Agung Kristanto, Andreas Agung Ani Rahmadiani Apol Pribadi Arif Djunaidy Arrizal Kusuma, Moch Farrel Asra Alfathoni Aulia Sidharta, Hanugra Aulia Vinarti Danang Febrian Diah Risqiwati Divka, Princessa Sissy Eko Mulyanto Yuniarno Faizal Mahananto Fajar Kurnia Malays Fandi Cahyo Saputro Febriliyan Samopa Handayani Tjandrasa Hanif Mitsal Mahatta Hardhika Propitadewa Ika Ayu Fajarwati Ilmi Usrotin Choiriyah Imelda Dian Rahmawati Indar Sugiarto Irlando Moggi Prakoso Jeremy Diaz Prasetyo Jihaan Harvi Habibah Kurniaji, Garis Narendra Kusumawardhani, Renny Pradina Lailatul Husniah Laura Wilhelmina Theresia Leivina Kartika Dewi Lia Farihul Mubin M. Fajrul Hakim M. Fiqri Ananda Maria Cendanasari Kurniawan Putri Mauridhi Hery Purnomo Mauridhi Hery Purnomo Meilani, Maulidiya Mochamad Zidan Aqila Kamil Muhammad Ali Fikri Muhammad Arif Nuriman Muhammad Daffa Maulana Muhammad Hisyam Naufal Rafiawan Basara Nazriyah Deni Tsaniyah Nova Eka Budiyanta Novian Tiandini Nur Aini Lestari Nur Khofifah Nur Laila Nur Nindya Risnina Oktania, Teky Budi Perdana, Muhammad Ilham Pujiadi Pujiadi Pujiadi, Pujiadi Purnama, I Putu Adhitya Pratama Mangku Radityo Prasetianto Wibowo Rahma Fauzia Rahmanisa, Fathia Raras Tyas Nurita Raras Tyasnurita Restia Rezalini P. S Retno Aulia Vinarti Rikasakomara, Edwin Riksakomara, Edwin Rizky Praditya Rully Agus Hendrawan Septica Tiara Indah Permatasari Sidharta, Hanugra Aulia Siti Aminatus Zehroh Sudiarti, Yeyen SUGIYANTO Sugiyanto - Supeno M Susiki Nugroho T, Lulus Condro Tresnaning Arifiyah Tri Achmadi Wahyu Ardianto Willy Achmat Fauzi