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Motivation and Nurses' Fulfillment of Critical Patients' Family Needs in the Intensive Care Unit
Gaster
Vol 22
, No 1
(2024)
Background: Family members may experience physical and psychological side effects, such as poor hygiene, sleep disturbances, appetite loss, anxiety, sadness, and post-traumatic stress disorder (PTSD), if they are around critically ill patients who were treated in intensive care units. Ensuring family needs are met during patients' stays in the intensive care unit can help to lessen the negative impacts. Objective: The aim of this study is to determine whether nurse motivation and meeting the nee...
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1 Sitasi
Anemia Reduction Program In Adolescents: Scoping Review
Gaster
Vol 22
, No 1
(2024)
Introduction : Anemia is a health problem that causes sufferers to experience fatigue, fatigue and lethargy. Anaemia is estimated to affect half a billion women 15–49 years of age in worldwide and in indonesia the prevalence of anemia in adolescents is 32%, This article aims to identify programs related to the treatment of anemia in adolescents, support and obstacles in the implementation of anemia reduction programs. Method: This article used Arshey & O’Malley Framework; selecting articles...
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Acupressure to Increase Milk Production in Breastfeeding Moms
Gaster
Vol 22
, No 1
(2024)
Introduction: Giving acupressure therapy can increase breast milk production because it affects the stimulation process of the hormone prolactin. This study aimed to determine the effect of acupressure at points ST 15, ST 16, and Li 4 on breast milk production in postpartum mothers. Materials and Method: Type of quantitative research. Quasi-experimental research design, post-test control group research design. The sample was 32 people, 16 in the control group and 16 in the treatment group. Data...
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1 Sitasi
Application of Complementary Therapy as an Effort to Mitigate Health Crisis from Malnutrition Risk Factors in Vulnerable Groups
Gaster
Vol 22
, No 1
(2024)
Introduction Malnutrition, a critical global health issue, continues to affect vulnerable populations despite advances in healthcare and nutrition science, highlighting the need for integrated intervention strategies that combine traditional nutritional support with complementary therapies. Objective: This research aimed to assess the effectiveness of a holistic intervention combining nutritional strategies and complementary therapies in mitigating malnutrition risks within vulnerable families,...
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Dysmenorrhea and Practice of Menstrual Hygiene in Adolescent Females
Lilik Ariyanti
; Warih Anjari Dyah Kusumaningayu
; Fatchurrohmah Ines Prabandari
; Alinda Nur Ramadhani
Gaster
Vol 22
, No 1
(2024)
Background: Adolescence is a relatively fast period of physical change experienced by adolescents when puberty is marked by the first menstruation (menarche). Menstruation and menstrual habits continue to encounter numerous social, cultural, and religious barriers, which make it extremely difficult to maintain good hygiene during the menstrual cycle. Objective: Analyzing menstruation practices and the prevalence of dysmenorrhea in adolescent female is the goal of this study. Method: The cross-...
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1 Sitasi
Identification of Social Media Posts Containing Self-reported COVID-19 Symptoms using Triple Word Embeddings and Long Short-Term Memory
Amalia, Raisa
; Lambung Mangkurat University
; Faisal, Mohammad Reza
; Universitas Lambung Mangkurat
; Indriani, Fatma
; Universitas Lambung Mangkurat
; Budiman, Irwan
; Universitas Lambung Mangkurat
; Mazdadi, Muhammad Itqan
; Universitas Lambung Mangkurat
; Abadi, Friska
; Universitas Lambung Mangkurat
; Mafazy, Muhammad Meftah
; Institut Teknologi Sepuluh Nopember
Telematika
Vol 17
, No 1
(2024)
The COVID-19 pandemic has permeated the global sphere and influenced nearly all nations and regions. Common symptoms of this pandemic include fever, cough, fatigue, and loss of sense of smell. The impact of COVID-19 on public health and the economy has made it a significant global concern. It has caused economic contraction in Indonesia, particularly in face-to-face interaction and mobility sectors, such as transportation, warehousing, construction, and food and beverages. Since the pandemic beg...
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Comparative Analysis of Classification Methods in Sentiment Analysis: The Impact of Feature Selection and Ensemble Techniques Optimization
Defit, Sarjon
; Universitas Putra Indonesia “YPTK” Padang
; Windarto, Agus Perdana
; STIKOM Tunas Bangsa
; Alkhairi, Putrama
; STIKOM Tunas Bangsa
Telematika
Vol 17
, No 1
(2024)
Optimizing classification methods (forward selection, backward elimination, and optimized selection) and ensemble techniques (AdaBoost and Bagging) are essential for accurate sentiment analysis, particularly in political contexts on social media. This research compares advanced classification models with standard ones (Decision Tree, Random Tree, Naive Bayes, Random Forest, K-NN, Neural Network, and Generalized Linear Model), analyzing 1,200 tweets from December 10-11, 2023, focusing on "Indones...
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Optimizing Clustering of Indonesian Text Data Using Particle Swarm Optimization Algorithm: A Case Study of the Quran Translation
Telematika
Vol 17
, No 1
(2024)
The Quran considered the holy book for Muslims, contains scientific and historical facts affirming Islam's truth, beauty, and influence on human life. Consequently, the Quran text and its translations are valuable sources for text mining research, particularly for studying the interrelationship of its verses. One approach to grouping objects using certain algorithms is clustering, with K-Means Clustering being a prominent example. However, clustering results are often suboptimal due to the rando...
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Optuna Based Hyperparameter Tuning for Improving the Performance Prediction Mortality and Hospital Length of Stay for Stroke Patients
Tikaningsih, Ades
; Universitas Amikom Purwokerto
; Lestari, Puji
; Universitas Amikom Purwokerto
; Nurhopipah, Ade
; Universitas Amikom Purwokerto
; Tahyudin, Imam
; (Scopus ID: 56764427700, Universitas Amikom Purwokerto)
; Winarto, Eko
; RSUD Banyumas Polyclinic Neural
; Hassa, Nazwan
; RSUD Banyumas Polyclinic Neural
Telematika
Vol 17
, No 1
(2024)
Cardiovascular disease (CVD) stands as the foremost contributor to worldwide mortality, with strokes as part of significant CVD. Research on potential mortality risks and hospitalizations for stroke patients became crucial as a basis for evaluation to improve the quality and control of stroke patient services. Although machine learning technology has been widely used in health data analysis, understanding the relative performance and characteristics of machine learning (ML) models is still limit...
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Deep Learning for Histopathological Image Analysis: A Convolutional Neural Network Approach to Colon Cancer Classification
Telematika
Vol 17
, No 1
(2024)
Colon cancer is a type of cancer that attacks the last part of the human digestive tract. Factors such as an unhealthy diet, low fiber consumption, and high animal protein and fat intake can increase the risk of developing this disease. Diagnosis of colon cancer requires sophisticated diagnostic procedures such as CT scan, MRI, PET scan, ultrasound, or biopsy, which are often time-consuming and require particular expertise. This study aims to classify colon cancer based on histopathological imag...
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