Showing 2 articles found for "Paru"

Hubungan Tingkat Pengetahuan Dan Motivasi Dengan Kepatuhan Minum Obat Anti Tuberkulosis Pada Penderita TB Paru Di Rumah Sakit An-Nisa Tangerang

Clara Aulia Rachmah, Adi Dwi Susanto, Imas Sartika
Abstract: Background: Pulmonary tuberculosis (pulmonary TB) is a chronic infectious disease caused by the bacterium Mycobacterium tuberculosis. Mycobacterium tuberculosis is a bacterium that causes tuberculosis infection which is… transmitted by droplet splashes and becomes a vector of transmission when a person interacts physically. Objective: This study aims to determine the relationship between the level of knowledge and motivation with adherence to taking anti-tuberculosis medication at An-Nisa Hospital Tangerang. Methods: This study used descriptive analytic quantitative research with a cross sectional approach. The sampling technique used was purposive sampling method, where this technique selected subjects in a population that matched the criteria as a sample, namely pulmonary TB patients who were undergoing initial and advanced treatment at An-Nisa Hospital, Tangerang, totaling 102 respondents. Data analysis was performed using the chi-square test. Results: The results of the respondent's data processing showed that the level of knowledge with adherence to taking anti-tuberculosis medication showed a significant relationship with value (p-value 0.021), and motivation with adherence to taking anti-tuberculosis medication showed a significant relationship with value (p-value 0.027 ). Conclusion: It can be concluded that there is a relationship between the level of knowledge and motivation with adherence to taking anti-tuberculosis medication in patients with pulmonary TB. Therefore, to reduce the occurrence of drug-resistant TB, efforts should be made to increase adherence to treatment in TB patients, either through the method of providing direct motivation or through counseling about pulmonary TB disease.

Implementasi Metode Decision Tree Dalam Prediksi Kanker Paru Paru Dengan Rapidminer

Anzori, Zaehol Fatah
Abstract: kanker merupakan salah satu faktor utama penyebab kematian. Kanker juga memiliki posisi kedua dengan angka kematian yang sangat tinggi. Dalam penelitian ini memprediksi kanker paru-paru dengan menggunakan data mining dengan… gan metode decision tree. Metode decision tree memprediksi akurasi dengan tingkat akurasi 94.66% dari data yang ada menjadi potensi besar dalam prediksi penyakit kanker paru-paru.Oleh karena itu, data mining dengan metode decision tree sebagai solusi ke efektifan dalam memprediksi terkenanya kanker paru paru dan pecegahannya. Meode ini juga menjadi  upaya dalam penyelamatan nyawa dan perbaikan kualitas hidup bagi individu yang berisiko terkena penyakit kanker paru-paru