A brain tumor is a type of disease that is quite dangerous in the world. This disease is one of the main causes of human death and has a high risk of recurrence. There are several types of brain tumor locations such as edema, necrosis to elevation. Segmenting the location of this disease is important to do to support faster…
Face Shape-Based Physiognomy in LinkedIn Profiles with Cascade Classifier and K-Means Clustering – International Conference Scopus
The progress of a company is influenced by the excellent performance of its employee. The recruitment process should be done in a correct procedure so that it would not have the potential to harm the company. The improved use of social media can be an aspect to be applied in a recruitment process. LinkedIn is a social media platform that…
Analysis of DNA Sequence Classification Using SVM Model with Hyperparameter Tuning Grid Search CV – International Conference Scopus
Viruses and bacteria are constantly evolving in the world. Early identification of pathogens is one way that can be used to spread the spread of disease to drug design. DNA sequence classification is an essential aspect of computational biology. Pathogen identification was carried out by comparing data between sequenced genomes with NCBI data. Machine learning technology can classify DNA whose…
Prototype Design of Smart Diabetic Shoes with Lora Module Communication – International Conference Scopus
Diabetes is a disease that affects many people in the world. Diabetes mellitus is a type of metabolic disease in a person who suffers from blood glucose levels with extreme conditions, namely insufficient insulin production in the human body. Monitoring diabetes is an important concern for researchers because it can be useful for improving the quality of the nursing service…
Analysis of the relationship between fetal health prediction features with machine learning feyn qlattice regression model – Scopus Q4
Premature birth and even deaths are caused by maternal congenital such as diabetes or other diseases. Normal birth can be attempted if the mother’s health continues to be monitored. Monitoring can be done with electronic fetal monitoring, part of the electronic health record (EHR). The increasing use of EHR results in healthcare big data. This data can be analyzed with…
Understanding of Convolutional Neural Network (CNN): A Review – Scopus Q4
The application of deep learning technology has increased rapidly in recent years. Technologies in deep learning increasingly emulate natural human abilities, such as knowledge learning, problem-solving, and decision-making. In general, deep learning can carry out self-training without repetitive programming by humans. Convolutional neural networks (CNNs) are deep learning algorithms commonly used in wide applications. CNN is often used for image…
Developing Data Integrity in an Electronic Health Record System using Blockchain and InterPlanetary File System (Case Study: COVID-19 Data) – Scopus Q1
Authors: Imam Riadi, Tohari Ahmad, Riyanarto Sarno, Purwono Purwono, Alfian Ma’arif The misuse of health data stored in the Electronic Health Record (EHR) system can be uncontrolled. For example, mishandling of privacy and data security related to Corona Virus Disease-19 (COVID-19), containing patient diagnosis and vaccine certificate in Indonesia. We propose a system framework design by utilizing the InterPlanetary File…