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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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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
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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A Technical Review of the State-of-the-Art Methods in Aspect-Based Sentiment Analysis
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
With the advent and rapid advancement of text mining technology, a computer-based approach used to capture sentiment standpoints from data in textual form is increasingly becoming a promising field. Detailed information about sentiment can be provided using aspect-based sentiment analysis, which can be used in better decision-making. This study aims to study, observe, and classify previous methods used in aspect-based sentiment analysis. A systematic review is adopted as the method used to colle...
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15 Sitasi
Dataset Analysis and Feature Characteristics to Predict Rice Production based on eXtreme Gradient Boosting
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Rice plays a vital role as the main food source for almost half of the global population, contributing more than 21% of the total calories humans need. Production predictions are important for determining import-export policies. This research proposes the XGBoost method to predict rice harvests globally using FAO and World Bank datasets. Feature analysis, removal of duplicate data, and parameter tuning were carried out to support the performance of the XGBoost method. The results showed excellen...
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33 Sitasi
Pengaruh Penambahan Jamur Kuping Hitam (Auricularia Polytricha) Terhadap Sifat Kimia dan Organoleptik Nugget Ikan Tongkol Abu-Abu (Thunnus Tonggol)
Jurnal Agrifoodtech
Vol 2
, No 2
(2024)
Fish nuggets are a food that is quite popular with people because they contain high nutrition. Addition of black ear mushrooms to gray tuna nuggets to increase nutritional value and crude fiber content and acceptability. This study aims to determine the effect of the correct concentration of black ear fungus on chemical and organoleptic properties. This research was conducted using a completely randomized design method (CRD) with 4 treatments at the concentration of addition of black ear fungus...
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Pelatihan Pola Zero Waste Untuk Mengurangi Limbah Kain
Jurnal Pengabdian Kepada Masyarakat
Vol 1
, No 1
(2024)
Early The fashion industry in Indonesia is one of the contributors to fabric waste which is difficult to handle, requires special handling so that fabric waste can decompose or become a multi-purpose product. The Zero Waste pattern is a technique in making clothing patterns that places the pattern effectively without leaving fabric residue. The Zero Waste pattern can be used in making clothes and trousers so it is effective in reducing fabric waste. The target of this training is class 2 and cla...
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