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Journal : Journal of Engineering, Electrical and Informatics

DEEP LEARNING ALGORITHM FOR CONNECTING SCIENTIFIC RECORDS AND SOCIAL PLATFORM Budi Santoso; Agustinus Budi Santoso; Eko Siswanto
Journal of Engineering, Electrical and Informatics Vol. 2 No. 2 (2022): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i2.913

Abstract

In the healthcare industry, professionals develop big amounts of disorganized data. The complexity of this data and the loss of computational capability lead to delays in the investigation. Nevertheless, with the advent of Deep Learning algorithms and connection to computing power such as Graphic Processor Units (GPUs) and Tensor Processing Units (TPUs), text and image processing has become usable. Deep Learning (DL) data bring about a big outcome in Natural Language Processing (NLP) and computer perception. The main purpose of this study is to build an undivided approach that can relate social platforms, literature, and scientific records to develop an approach to medicinal education for the public and experts. This study focuses on NLP in the healthcare industry and compiles data by Electronic Medical Records (EMR), medical literature, and social platforms. The framework proposed in this study is one for connecting social platforms, medical literature, and Electronic Medical Records scientific records using Deep Learning algorithms. Linking data sources requires defining the relationships between them, and finding concepts in medical texts. The National Library of Medicine (NLM) introduced the Unified Medical Language System (UMLS) and uses this system as the basis for the proposed system. The dynamic nature of a social platform can be recognized and supervised methodologies can be applied under supervision to develop conception. Named entity Recognition (NER) enables the active eradication of data or individuals by the pharmaceutical literature.
Cash Processing Administration System In The Indonesian Red Cross Blood Transfusion Unit, Semarang City Okky Dwianto Wahyu Nugrohojati; Eko Siswanto; Bagus Sudirman
Journal of Engineering, Electrical and Informatics Vol. 2 No. 3 (2022): Oktober: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i3.2849

Abstract

The cash processing administration system in a company plays a very important role. One of the problems that often arises in a cash processing administration system is the inaccurate calculation results of cash administration reports. This can result in inaccurate calculations of a company's profits and losses. Besides that, the use of company funds for something is not necessary, because every income and expenditure of company funds can be seen clearly and can be checked at any time. In short, companies will be able to quickly and easily find out the income and expenditure of funds. Information technology which is developing rapidly at this time provides very helpful benefits for the development of a company's information system, especially with the use of computer-based information technology, because by using computer technology in an information system you will be able to process data more quickly with lower error rates. minimal and saves time. The procedures that will be processed consist of the administration section and the finance section. If there is an income or expenditure of money or funds, the data can simultaneously be entered into the computer and will automatically influence or add to the existing data in the company. In this way, the condition of the money or funds in the company can be known with certainty and accuracy.