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PENGARUH INTELLECTUAL CAPITAL TERHADAP PRODUKTIVITAS PADA PERUSAHAAN YANG GO PUBLIC DI INDONESIA
This research is a quantitative research.The short-term goal in this study is to find out whether intellectual capital has a positive effect on productivity, while for the long-term goal is to know how much intellectual capital plays a role in improving company performance.The data used is secondary data from the annual report (annual report).Population in this research is company which go public in Indonesia which is listed in BEI.The samples are companies that go public in Indonesia listed on...
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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
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
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
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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Penyuluhan Bahaya Seks Bebas terhadap Kalangan Remaja di SMK Gelora Jaya Nusantara Medan Sumatera Utara
Jurnal Ventilator: Jurnal riset ilmu kesehatan dan Keperawatan
Vol 2
, No 1
(2024)
Wrong relationships influence sexual behavior, especially among teenagers. Casual sex is a relationship between a man and a woman that does not involve marriage. To prevent this from happening, the role of parents is very important. However, in reality, many parents feel that their children do not receive enough attention due to busy schedules and limited supervision time, so that many teenagers have problems. Apart from that, environmental influences (peers) can have a negative impact. The aim...
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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