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Pratama, Ariq
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PENINGKATAN PENGETAHUAN KELUARGA TERHADAP PERAWATAN PASIEN DI RUMAH DALAM MENCEGAH KOMPLIKASI PADA PASIEN STROKE DENGAN IMPLEMENTASI TELENURSING Mira Asmirajanti; Azizah, Anik Hanifatul; Mustikawati, Intan Silviana; Romadhoni, Asisyafitri; Bahraini, Dwi; Pratama, Ariq; Syahputra, Agung Dwi
Jurnal Abdi Insani Vol 11 No 3 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i3.1914

Abstract

Stroke, one of the leading causes of neurological disability, has a significant impact on the patient's ability to perform daily activities. This community service aims to increase the knowledge of stroke patients' families about home care to prevent complications with the implementation of telenursing. This activity was held on February 6, 2024, in Desa Semanan, Jakarta Barat, involving 25 patients and their families, as well as Posbindu cadres. The activity began with coordination with partners to take care of permits and site reviews. Education was provided through presentations, demonstrations, and video tutorials on the care of stroke patients at home, followed by assistance through telenursing using WhatsApp groups. The evaluation was carried out with pre-test and post-test to measure the understanding of the patient's family. The results showed a significant increase in family knowledge by 44%. In conclusion, this education is effective in increasing family knowledge to improve the care of stroke patients at home, which is important in preventing complications and improving the quality of life of patients.
Analyzing and Designing Decision Support Systems for Stroke Patient Daily Treatment Azizah, Anik Hanifatul; Asmirajanti, Mira; Pratama, Ariq
TEPIAN Vol. 5 No. 4 (2024): December 2024
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v5i4.3186

Abstract

Stroke is one of the neurological diseases that often requires complex management and treatment. Making the right decisions in diagnosing and treating stroke patients can have a significant impact on the recovery process and the quality of life for patients. To assist healthcare professionals and patients in making more informed decisions, this research has developed the "StrokeCare Navigator," a web-based Decision Support System (DSS) that utilizes the Decision Tree C4.5 algorithm. This system allows users, including healthcare professionals and patients, to input symptoms and patient medical information, providing an initial diagnosis of the type and severity of the stroke. Additionally, the system offers personalized treatment guidelines, treatment recommendations, and online patient monitoring services. The Decision Tree C4.5 model used in this system was developed through training with relevant patient data. Evaluation results indicate that the system can provide accurate and beneficial recommendations for healthcare professionals and patients. Testing and patient monitoring in clinical practice also demonstrate the potential to enhance stroke patient care. Therefore, StrokeCare Navigator is expected to be a valuable tool in stroke patient management and treatment, ultimately improving the prospects of patient recovery and providing better guidance for healthcare professionals. This research also provides deeper insights into the implementation of the Decision Tree C4.5 algorithm in the context of Decision Support Systems (DSS) in the medical field.
Co-Authors Azizah, Anik Hanifatul Bahraini, Dwi Mira Asmirajanti Mustikawati, Intan Silviana Romadhoni, Asisyafitri Syahputra, Agung Dwi