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All Journal Jurnal Ilmu Komputer dan Informasi IPTEK The Journal for Technology and Science Techno.Com: Jurnal Teknologi Informasi Bulletin of Electrical Engineering and Informatics Register: Jurnal Ilmiah Teknologi Sistem Informasi JOIV : International Journal on Informatics Visualization ILKOM Jurnal Ilmiah Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat Jurnal Penelitian Enjiniring Fakultas Teknik Unhas Jurnal Teknologi Elekterika Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Indonesian Journal of Electrical Engineering and Computer Science Jurnal Minfo Polgan (JMP) Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Jurnal Pengabdian Mandiri Malcom: Indonesian Journal of Machine Learning and Computer Science Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Ingrid Nurtanio
Universitas Hasanuddin
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : Jurnal Teknologi Elekterika

 1 
Application of Artificial Neural Network and Gray Level Co-occurrence Matrix to detect blood glucose levels through the skin of the hands. Umar, Usman; Syarif, Syafruddin; Nurtanio, Ingrid; Indrabayu, Indrabayu
Jurnal Teknologi Elekterika Vol. 19 No. 2 (2022): Nopember
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v6i2.3756

Abstract

Increased glucose in the blood can cause a buildup so that it cannot be absorbed by all of the body's cells, this problem can cause various disorders in the body's organs. To avoid problems, it is necessary to check the blood glucose level regularly. Monitoring blood sugar levels is currently still using invasive techniques that are painful, non-invasive monitoring is needed. This study develops a non-invasive method to predict blood glucose through image processing. For investigation, several invasive images and glucose levels were taken. Types of samples based on age classification, 20-60 years. For accuracy and simple analysis, 37 images of participants as volunteers, samples were evaluated and investigated under the gray level co-occurrence matrix (GLCM). In this study, an artificial neural network (ANN) was used for all training and hand texture testing to detect glucose levels. The performance of this model is evaluated using Root Mean Square Error (RMSE) and correlation coefficient (r). Clarke Error Grid Analysis (EGA) variance was used in this investigation to determine the accuracy of the method. The results showed that the RMSE was close to the standard value, the regression coefficient was 0.95, and the Clarke EGA analysis: 81.08 % was in the A zone. So that the blood glucose prediction model using the GLCM-ANN method is feasible to apply.
Co-Authors A. Ais Prayogi Alimuddin A. Marimar Muchtamar A.Ais Prayogi Abdul jalil Adnan Adnan Adnan Adnan Adnan Adnan Ady W Paundu Ady Wahyudi Ady Wahyudi Paundu Ady Wahyudi Paundu Ahmad Rifaldi Ais P Alimuddin Ais Prayogi Alimuddin Alif Tri Handoyo Alimuddin, A.Ais Prayogi Amil A Ilham Amil A Ilham Amil A. Ilham Amil Ahmad Ilham Amil Ahmad Ilham Amirullah, Indrabayu Andani Achmad Andani Achmad Ansar Suyuti Anugrayani Bustamin Anugrayani Bustamin Anugrayani Bustamin Anugrayani Bustamin Areni, Intan Sari Astri Oktianawaty Aswandi, Andi Syam Aulia Darnilasari Bustamin, Anugrahyani Bustamin, Anugrayani Chandra Wisnu Nugroho Christoforus Yohanes Dewi Kusumawati, Dewi Elly Warni Elly Warni elly warni Febriansyah, Muhammad Firmansyah J Kusuma Fransisca J Pontoh Hazriani, Hazriani I Ketut Eddy Purnama Ida Ayu Putu Sri Widnyani Ida R Sahali Imran Taufiq Indra Bayu Indrabayu - Indrabayu . Indrabayu Indrabayu Indrabayu Indrabayu Intan Sari Areni Intan Sari Areni Intan Sari Areni Iqra Aswad Iqra Aswad Jayanti Yusmah Sari Leonard Maramis Leonard, Calvin Rinaldy Lika Purwanti M Alief F Imran Mahdaniar, Mahdaniar Marindah, Tyanita Puti Mauridhi Hery Purnomo Mochamad Hariadi Mohamad Ilyas Abas Mokobombang, Novy Nur R A Mokobombang, Novy Nur R.A Muh. Alief Fahdal Imran Oemar Muh. Syahlan Natsir Muhammad Indra Abidin Muhammad Niswar Muhammad Nizwar Mukarramah Yusuf Mukarramah Yusuf Musakkir Musakkir Musyfirah, Kamtina Naufal Khalil Novy NRA Mokobombang Nur Hikmah Nurdin, Arliyanti Nurdin, Winati Mutmainnah Nurhikmayana Janna Palantei, Elyas Paundu, Ady Wahyudi Rahmat Hardian Putra Rieka Zalzabillah Putri RIFALDI, AHMAD Riny Yustica Dewi Rizka Irianty Siska Anraeni Syafruddin Syarif Syafruddin Syarif Usman Umar Yohannes, Christoforus Yohannes, Chystoporus Yusuf, Mukarramah Zaenab Muslimin Zaenab Muslimin Zahir Zainuddin Zahir Zainuddin Zulkifli Tahir