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Menampilkan 4561–4570 dari 10274 artikel
Evaluation of the Quality of Pharmaceutical Services in Private Hospitals in Sukoharjo in 2023
Gaster
Vol 22
, No 1
(2024)
Introductory: Minimum Service Standards are very important because they are a benchmark for the performance of health services provided in hospitals. Objective:This study aims to evaluate the quality of pharmaceutical services at the Private Hospitals in Sukoharjo based on indicators of waiting time for ready-made and compounded medicine services, customer satisfaction, and writing prescriptions according to the formulary. Method:This research is non-experimental research with observational rese...
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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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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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Hubungan Intensitas Penggunaan Sosial Media dengan Prokrastinasi Akademik Siswa MTsN 2 Bukittinggi
Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik)
Vol 3
, No 1
(2024)
This paper examines the relationship between the intensity of social media use and academic procrastination in students of MTsN 2 Bukittinggi. Using a correlative quantitative method, this study found that students' intensity of social media use has a significant relationship with their academic procrastination. The hypothesis was accepted with a considerable correlation value (0.431), and the positive correlation indicated that the higher the intensity of social media use, the higher the level...
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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