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Qualitative Study of the Implementation of School Health Program in Junior High School 1 Teras and Junior High School 2 Andong
Gaster
Vol 22
, No 1
(2024)
UKS is a school activity that is very important in school life, both for students, teachers, employees, and residents within the scope of the school. This study is a qualitative research with a case study approach that aims to find out the implementation of Trias UKS at SMP X Teras and SMP X Andong. Informants were selected using purposive sampling method. The results of the research conducted were that SMP X Teras and SMP X Andong carried out UKS programs, namely health education includin...
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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
Correlation Analysis of Self-Concept and Interpersonal Communication Among Generation Z Nursing Students at Pre-Professional Nursing Practice
Gaster
Vol 22
, No 1
(2024)
Background: Interaction between people is facilitated by communication. The self concept might take on a positive or negative form. Gen Z is unique among current generations. Not just for the social structure they have come up in, but also for their spending habits, which differ from other generations. Objective: to investigate the possible relationship between generation Z nursing students' interpersonal communication skills and their self concept. Methods: A cross-sectional approach to correla...
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3 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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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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14 Sitasi
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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