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All Journal Jurnal Kesehatan Masyarakat Indonesia VISIKES Disease Prevention and Public Health Journal Journal of Industrial Hygiene and Occupational Health (JIHOH) IJID (International Journal on Informatics for Development) Abdimasku : Jurnal Pengabdian Masyarakat Community Empowerment International Journal of Research in Community Services International Journal of Community Service Lontara Abdimas : Jurnal Pengabdian kepada Masyarakat Jurnal Abdi Masyarakat Indonesia International Journal of Tourism and Hospitality in Asia Pasific Jurnal Pengabdian Masyarakat Bhinneka Prosiding Seminar Informasi Kesehatan Nasional Journal Occupational Health Hygiene and Safety
Pramitasari, Ratih
Universitas Dian Nuswantoro
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : IJID (International Journal on Informatics for Development)

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Feature Selection Method to Improve the Accuracy of Diabetes Mellitus Detection Instrument Wulandari, Sari Ayu; Madnasri, Sutikno; Pramitasari, Ratih; Susilo, Susilo
IJID (International Journal on Informatics for Development) Vol. 9 No. 2 (2020): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2020.09203

Abstract

The need for aroma recognition devices or often known as enose (electronic nose), is increasing. In the health field, enose can detect early diabetes mellitus (DM) type 2 from the aroma of urine. Enose is an aroma recognition tool that uses a pattern recognition algorithm to recognize the urine aroma of diabetics based on input signals from an array of gas sensors. The need for portable enose devices is increasing due to the increasing need for real-time needs. Enose devices have an enormous impact on the choice of the gas sensor Array in the enose. This article discusses the effect of the number of sensor arrays used on the recognition results. Enose uses a maximum of 4 sensors, with a maximum feature matrix. After that, the feature matrix enters the PCA (Principal Component Analysis) feature extraction and clustering using the FCM (Fuzzy C Means) method. The number of sensors indicates the number of features. Enose using method for feature selection, it’s a variation from 4 sensors, where experiment 1 uses 4 sensors, experiment 2 uses a variation of 3 sensors and experiment 3 uses a variation of 2 sensors. Especially for sensors 3 and 4 using feature extraction method, PCA (Principal Component Analysis), to reduce features to only 2 best features. As for the variation of 2 sensors use primer feature matrix. After feature selection, the number of features is 2 out of 11 variations. Next, do the grouping using the FCM (Fuzzy C Means) method. The results show that using two sensors has a high accuracy rate of 92.5%.
Co-Authors Adelia Puspitasari Agil Fahrudi Hibatulla Agne Vibia Larasati Agnes Oktavi Maharani Agus Perry Kusuma Aji Kusumah Ramdhani Alif Maulana Iqbal Alvin Maulana Firza Yanuar Anyelir Khailla Eurissetaqtha Anyelir Khailla Eurissetaqtha Aprianti, Aprianti Aprillia Putri Wulandari Azriani Awang Ismail, Dayangku Bayu Yoni Setyo Nugroho Bayu, Yoni Setyo Nugroho Berlian Totti Viala Chalobon Treesak Desy Ayu Arifin Deyani Deyani Dian Indriana Hapsari Dina Saputri Hindiyastutik Eko Hartini Enny Rachmani Erika Devi Udayanti Febriyanto, Dwi Feri Haikal Haikal Haikal Haikal Haikal Haikal Ika Pantiawati Imang Dapit Pamungkas Izza Ulumuddin Ahmad Asshofi Izzatul Alifah Sifai Izzatul Alifah Sifai Jaka Prasetya Joseph Aldo Irawan Kania Salma Nur Prastiwi Karis Widyatmoko Khajjah, Feli Nur Kholiq, Pradana Firmansyah Kristin Ishak Kurnia Dwi Kristin Ishak Kurnia Dwi Kusuma, Edi Jaya Lenci Aryani Lidya Citra Nirmala Madnasri, Sutikno Magumi Avrora Iftita Manglapy, Merianti Yusthin Maria Goretti Catur Yuantari Maria Maya Purnamasari MG Catur Yuantari Muhammad Gymnastiar Aziz Mulyono, Ibnu Utomo Wahyu Mutiara Dwi Rahayuni Mutiara Dwi Rahayuni Mutiara Dwi Rahayuni N. Nurjanah Nanda Zahrotul Maulidah Naning Pipit Ernawati Neva Marsela Nis Syifa’ur Rahma Nisa, Belladiena Alfiena Nor Amalia Muthoharoh Nur Cahya, Handy Nur Rizki Darmawan Nurjanah Nurjanah Nurrisa Ananda Pujiono Pujiono Pulung Nurtantio Andono Putri Regita Pramesti Rachmansyah Adityo Nugroho Rahayu, Emik Rahma, Nis Syifa’ur Rani Hardiningtyas Respati Wulandari Sari Ayu Wulandari Setyo Nugroho, Bayu Yoni Sifai, Izzatul Alifah Soflina Nur Cholifah Supriyono Asfawi Susilo Susilo Syahiful Yudhi Nugroho Treesak, Chalobon Viala, Berlian Totti Vira Aditya Putri Wahyuni Ainuly Umayah Wikan Isthika, Wikan Wongsa Laohasiriwong Wongsa Laohasiriwong Ximenes, Adriano Yanuar, Alvin Maulana Firza Yoni Setyo Nugroho Bayu Zulfa Kanaya, Fadia