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All Journal An Idea Health Journal Buletin Sistem Informasi dan Teknologi Islam
Nur wahidah
Universitas Muslim Indonesia
Computer Science & IT Dentistry Health Professions Medicine & Pharmacology Nursing Public Health

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Application of Oxygen Therapy and Deep Dhiaphragmatic Breathing to Overcome Shortness of Breath with Acute Decompensated Heart Failure Ainun Annisha; Haeril Amir; Nur Wahidah; Nurhawa Karepesina; Rahmat Hidayat
An Idea Health Journal Vol 3 No 02 (2023): JULY
Publisher : PT.Mantaya Idea Batara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53690/ihj.v3i02.173

Abstract

Acute heart failure is a term used to indicate a change or event that is very fast where this is characterized by signs or symptoms of heart failure itself so that it can threaten life and life and this needs to be treated immediately The prevalence of heart failure continues to increase every year , The American Heart Association Statistics Update 2021 estimates the prevalence of heart failure to be 6 million of which 1.8 % of the total population of the United States and Canada is 1.5 % to 1.9 % of the population and in Europe 1 % to 2 % (Roger, 2021 ). On the Asian continent, it occupies the highest place due to heart disease deaths with a total of 2,769,000 people. Indonesia ranks second in Southeast Asia with a total of 371 thousand people (WHO, 2017). The purpose of this study was to find out the description of the application of oxygen therapy and Deep Dhiafragmatic Breathing On Mrs. "S" With Problems Acute Decompensated Heart Failure in room Cardiovaskular Care Unit (CVCU) of the Laburan Baji General Hospital, Makassar. The results of the study showed that there was a decrease in shortness of breath after being given oxygen therapy intervention and deep dhiafragma breathing to the client for 3 days of treatment. Where on the first day the respiration rate was 28x/minute and SpO2 was 95%, on the second day the respiration rate was 26x/minute and 97% SpO2, the third day the respiration rate was 24x/minute and SpO2 was 98%. Which indicates amchange in respiratory frequency before and after being given nursing interventions.
Implementasi Algoritma Neural Network Untuk Memprediksi Harga Bawang Merah Di Kabupaten Bima Nur wahidah; Poetri Lestari Lokapitasari; Herdianti Darwis
Buletin Sistem Informasi dan Teknologi Islam (BUSITI) Vol 4, No 2 (2023)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/busiti.v4i2.1661

Abstract

Bawang merah merupakan tanaman holtikultura yang berpotensi tinggi terhadap perubahan harga sehingga sangat fluktuatif bagi petani maupun konsumen dan juga termasuk komoditas trategis. Di Indonesia khusunya, pertumbuhan bawang merah mengikuti pola musim yang terjadi, sehingga pada musim tertentu stok bawang merah menurun. Prediksi harga bawang merah menjadi penting dilakukan untuk mengetahui harga bawang merah ke depan. Neural network termasuk algoritma yang terbaik dalam melakukan prediksi. Masalah utama bagaimana menentukan jumlah neuron dan hidden layer yang optimal sehingga akurasi prediksinya tinggi. Jurnal ini bertujuan untuk merancang arsitektur neural network dengan menggunakan algoritma bacpropagation. Tahapan penelitian dilakukan adalah mengumpulkan data harga bawang merah, melakukan proprecessing data, memproses prediksi, pengujian akurasi, pengujian akurasi dan eror serta implementasi. Dalam memproses prediksi dilakukan sesuai dengan rancangan model prediksi, yaitu parameter epoch, momentum, learning rate, hidden layer untuk menghasilkan keakuratan yang tinggi. Temuan yang diperoleh berupa rancangan optimal untuk melakukan prediksi yaitu dengan menggunakan multilayet. Diperoleh tingkat akurasi mencapai 98.324% atau dengan tingkat eror yang relatif rendah yaitu 11,161%
Co-Authors Ainun Annisha Haeril Amir Lokapitasari Belluano, Poetri Lestari Nurhawa Karepesina Rahmat Hidayat