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All Journal Nusantara Science and Technology Proceedings International Journal Of Computer, Network Security and Information System (IJCONSIST)
Anggraeni, Fetty Tri
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology

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Healthy Snack for Diabet Patients with Cocoyams Tubers Rosida , Dedin Finatsiyatull; Anggraeni, Fetty Tri
Nusantara Science and Technology Proceedings 5th International Seminar of Research Month 2020
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0944

Abstract

Diabetes Mellitus sufferers are estimated to have reached 9.1 million people. This data makes Indonesia ranked 5th in the world with the highest Diabetes Mellitus. Diabetes Mellitus is one of the main causes of non-communicable diseases or 2.1% of all deaths, including East Java province. The key to managing blood sugar levels is managing carbohydrate intake. This is because carbohydrates are responsible for raising blood sugar levels. Managing the number of carbohydrates is the main goal, although choosing slow-digesting carbohydrates with high fiber content. Apart from carbohydrates, diabetics also need to limit their intake of salt, saturated fats and avoid trans fats. People with diabetes need to include fiber and healthy fats in their daily diet. People with diabetes have a higher risk of developing hypertension, high cholesterol, and heart disease than the general population. It is very important to consider these risks when planning a diet. For that, we need snacks that are low in calories and have high levels of dietary fiber and low trans fat content. UPN Veteran Jawa Timur through the Community Innovation Service Program (BIMA) provides training to UD. Rinjani Cookies to produce various snacks made from cocoyam tubers (Kimpul) with high enough healthy nutrition. The snack products offered were cookies, brownies, kimpul layers cake, and kimpul banana cakes. This snack is healthy for people with Diabetes Mellitus because it is rich in fiber, low calory, and does not contain trans fats
Brain Tumor Classification with Hybrid Algorithm Convolutional Neural Network-Extreme Learning Machine Wahid, Radical Rakhman; Anggraeni, Fetty Tri; Nugroho, Budi
IJCONSIST JOURNALS Vol 3 No 1 (2021): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (803.543 KB) | DOI: 10.33005/ijconsist.v3i1.53

Abstract

Brain tumor is a disease that attacks the brains of living things in which brain cells grow abnormally in the area around the brain. Various ways have been done to detect this disease, one of which is through the anatomical approach to medical images. In this study, the authors propose a Convolutional Neural Network (CNN)-Extreme Learning Machine (ELM) hybrid algorithm through Magnetic Resonance Imaging (MRI). ELM was chosen because of its superiority in the training process, which is faster than iterative machine learning algorithms, while CNN was chosen to replace the traditional feature extraction process. The result is CNN-ELM, which has 8 filters in the convolution layer and 6000 nodes in the hidden layer, has the best performance compared to CNN-ELM another model which has different number of filters and number of nodes in the hidden layer. This is evidenced by the average value of precision, recall, and F1-score which is 0.915 while the accuracy of the test is 91.4%.
Co-Authors Budi Nugroho Dedin Finatsiyatull Rosida Wahid, Radical Rakhman