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Effectiveness Of Reminiscence Therapy And Brain Gym On Elderly’s Conitive Function
Gaster
Vol 22
, No 1
(2024)
Introduction: The Elderly is the last stage of human life development, a stage that experiences many changes and risk of experiencing illness due to the aging process. The aging process experienced by the elderly causes several changes, both changes in the physical aspect and changes in the psychological aspect. One of the changes experienced by the elderly is cognitive abilities. The cognitive abilities of the elderly are needed to help them live their lives productively. Conversely, if the eld...
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2 Sitasi
Literature Review : Factors Affecting Birth Weight and its Management
Gaster
Vol 22
, No 1
(2024)
The literature review has the aim of reviewing and comparing the similarities of several research results regarding the factors that influence the occurrence of low birth weight babies and their management methods in several hospitals in Indonesia. Literature review method with this study was carried out by conducting a literature review by searching several national journals. Literature search using several keywords, namely "low birthweight (LBW)", "infants", "management of LBW" for 10 literatu...
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The Effectiveness of Physical Exercise on Level of Symptom and Quality of Life in Primary Dysmenorrhea in Adolescent in Denpasar
Gaster
Vol 22
, No 1
(2024)
Background: young women often experience various problems including pain during menstruation. Menstrual pain which is called dysmenorrhea is pain in the stomach or uterus, pain that occurs together with the onset of menstruation which occurs several hours to days. The incidence of primary dysmenorrhea will influence and have a major impact on the quality of life of these adolescents.
Purpose: This study aims to prove the effectiveness of physical exercises in the form of abdominal stretching and...
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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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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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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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Pemanfaatan Teknologi Informasi, Literasi Keuangan, Modal Usaha dan Kreativitas dalam Mencapai Business Sustainability pada Mahasiswa Wirausaha
Widiastuti, Ekaningtyas
; (SINTA ID : 6152351, Universitas Jenderal Soedirman)
; Simin, Simin
; Listiowati, Emyliana
; Nikmah, Filda Khoirun
Probisnis
Vol 17
, No 1
(2024)
Penelitian ini bertujuan untuk menguji pemanfaatan teknologi informasi, literasi keuangan, modal usaha, dan kreativitas dalam mancapai business sustainability pada Mahasiswa Wirausaha Universitas Jenderal Soedirman. Metode pengumpulan data yang digunakan berupa kuisioner. Teknik pengambilan sampel dalam penelitian ini adalah Convenience sampling. Analisis data menggunakan program SPSS dengan metode Regresi Linear Berganda. Sampel yang dihasilkan sebanyak 99 responden mahasiswa berwirausaha. Hasi...
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KINETIC ANALYSIS OF PHOSPHATE ADSORPTION ON ZEOLITE AND ACTIVATED CARBON IN GREYWATER
Jurnal Inovasi Teknik Kimia
Vol 9
, No 1
(2024)
Phosphate is one of the pollutants that exist in greywater. Phosphate pollutant comes from surfactants used in detergent products which are commonly used in household activities. Water phosphate will increase when detergent waste is not managed properly. The presence of phosphate in waters can result in eutrophication which disrupts aquatic life. Some natural adsorbents such as zeolite and activated carbon can adsorb phosphate in greywater. The effectiveness of an adsorbent in removing phosphate...
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