APLIKASI PROPILAR UNTUK SOLUSI DISTRIBUSI OBAT BAGI PENDERITA HIV/AIDS

PUTRI, NAFTALITA CALISTA (2019) APLIKASI PROPILAR UNTUK SOLUSI DISTRIBUSI OBAT BAGI PENDERITA HIV/AIDS. Other thesis, UNIKA SOEGIJAPRANATA SEMARANG.

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Abstract

The HIV (Human Immunodeficiency Virus) virus is already known to be one of the deadly and very dangerous viruses. This virus attacks white blood cells so that the human immune sistem decreases and sufferers become susceptible to other diseases and experience complications. [1] Various symptoms that arise as a result of the HIV virus are called Acquired Immunodeficiency Syndrome (AIDS). [1] In Indonesia, the HIV virus case has become a concern of the government because of its increasing development. This HIV virus cannot be removed but can be suppressed by using antiretroviral drugs. Antiretroviral drugs work by suppressing the development of the virus until it reaches its lowest point so that the patient's immune sistem can function optimally. HIV / AIDS sufferers are required to take this medicine every day and should not be forgotten. Compliance with HIV/AIDS patients or commonly called ODHA is very important for the success of treatment. [2] In carrying out antiretroviral therapy treatment failure often occurs. This is caused by many factors that affect one of them sufferers often forget to take the medicine on time so that treatment fails. For this reason, a literature study will be conducted which includes interviews, discussions and questionnaires to obtain appropriate application design data so that it can produce a health application design that can serve as a reminder for HIV / AIDS sufferers in taking antiretroviral drugs. So that HIV / AIDS patients find it helpful to be reminded in taking medicine and when the drug will run out and the failure of therapy can be minimized. Keywords: hiv, aids, antiretrovirals, hiv patients, odha, health applications, reminders. This thesis is part research of Title : "Pemanfaatan NFC untuk Aktivitas Akademik" Lecture : "Prof. Dr. Ridwan Sanjaya" Year : 2017

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 005 Computer programming, programs & data
Divisions: Faculty of Computer Science > Department of Information Systems
Depositing User: Mr Lucius Oentoeng
Date Deposited: 22 Nov 2019 01:17
Last Modified: 20 Apr 2021 04:10
URI: http://repository.unika.ac.id/id/eprint/20055

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