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Menampilkan 101–110 dari 233 artikel
Kegiatan Pengukuran Antropometri Pada Populasi Lanjut Usia Sebagai Deteksi Dini Obesitas Dan Komplikasi Terkait Obesitas
Robert Kosasih
; Naufal Rayhan
; Brian Albert Gaofman
; Joshua Kurniawan
; Fernando Nathaniel
; Alexander Halim Santosa
Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri
Vol 3
, No 2
(2024)
Obesity, characterized by excessive accumulation of body fat, increases susceptibility to chronic disease and adversely impacts overall quality of life. Elderly people often exhibit higher fat mass and lower muscle mass and bone density, influenced by reduced physical activity, hormonal changes, and metabolic adjustments. Visceral fat accumulation is of particular concern because of its association with metabolic syndrome, insulin resistance, diabetes, hypertension, and cardiovascular disease. T...
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PENINGKATAN KAPASITAS MASYARAKAT DALAM PENENTUAN PRIORITAS PENGEMBANGAN DESA WISATA
Jurnal Pengabdian Masyarakat Unwahas
Vol 9
, No 1
(2024)
Pariwisata adalah satu sektor baru yang dapat mempercepat pertumbuhan ekonomi melalui peningkatan kesempatan kerja, pendapatan, dan standar hidup suatu negara. Untuk pembangunan desa, seluruh masyarakat harus berpartisipasi secara aktif. Salah satu masalah yang muncul adalah bahwa sebagian besar masyarakat tidak memahami dengan baik cara untuk menentukan skala prioritas. Hal ini mendukung pentingnya menerapkan program pengabdian kepada masyarakat untuk meningkatkan partisipasi masyarakat dan kap...
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Enhanced Vision Transformer and Transfer Learning Approach to Improve Rice Disease Recognition
Rachman, Rahadian Kristiyanto
; Setiadi, De Rosal Ignatius Moses
; Susanto, Ajib
; Nugroho, Kristiawan
; Islam, Hussain Md Mehedul
Journal of Computing Theories and Applications
Vol 1
, No 4
(2024)
In the evolving landscape of agricultural technology, recognizing rice diseases through computational models is a critical challenge, predominantly addressed through Convolutional Neural Networks (CNN). However, the localized feature extraction of CNNs often falls short in complex scenarios, necessitating a shift towards models capable of global contextual understanding. Enter the Vision Transformer (ViT), a paradigm-shifting deep learning model that leverages a self-attention mechanism to trans...
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Enhancing Lung Cancer Classification Effectiveness Through Hyperparameter-Tuned Support Vector Machine
Gomiasti, Fita Sheila
; Warto, Warto
; Kartikadarma, Etika
; Gondohanindijo, Jutono
; Setiadi, De Rosal Ignatius Moses
Journal of Computing Theories and Applications
Vol 1
, No 4
(2024)
This research aims to improve the effectiveness of lung cancer classification performance using Support Vector Machines (SVM) with hyperparameter tuning. Using Radial Basis Function (RBF) kernels in SVM helps deal with non-linear problems. At the same time, hyperparameter tuning is done through Random Grid Search to find the best combination of parameters. Where the best parameter settings are C = 10, Gamma = 10, Probability = True. Test results show that the tuned SVM improves accuracy, precisi...
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DAMPAK PENERAPAN DIGITAL MARKETING PADA PENGEMBANGAN BISNIS (STUDI KASUS PADA USAHA KULINER NYAMM AYAM DI SALATIGA)
IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Vol 3
, No 1
(2024)
Perkembangan Teknologi Informasi yang pesat menyebabkan munculnya berbagai model digital marketing, yang diharapkan memiliki dampak signifikan bagi perkembangan sebuah usaha. Penelitian ini bertujuan untuk mengamati sejauh mana pengaruh penerapan model digital marketing terhadap perkembangan peningkatan sebuah usaha. Studi kasus dilakukan pada bisnis kuliner Nyamm Ayam di Salatiga, yaitu sebuah bisnis yang melayani penjualan masakan ayam dengan berbagai kreasi dan menu pilihan dengan cita rasa n...
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PENGARUH INTELLECTUAL CAPITAL TERHADAP PRODUKTIVITAS PADA PERUSAHAAN YANG GO PUBLIC DI INDONESIA
Adi Widya: Jurnal Pengabdian Masyarakat
Vol 1
, No 1
(2024)
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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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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Exploring DQN-Based Reinforcement Learning in Autonomous Highway Navigation Performance Under High-Traffic Conditions
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Driving in a straight line is one of the fundamental tasks for autonomous vehicles, but it can become complex and challenging, especially when dealing with high-speed highways and dense traffic conditions. This research aims to explore the Deep-Q Networking (DQN) model, which is one of the reinforcement learning (RL) methods, in a highway environment. DQN was chosen due to its proficiency in handling complex data through integrated neural network approximations, making it capable of addressing h...
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PARENTS' PERCEPTION OF CHILD’S CAREER DEVELOPMENT AT JUNIOR HIGH SCHOOL LEVELS IN THE PRINGGOLAYAN AREA, TIPES, SERENGAN SURAKARTA AT ACADEMIC YEAR OF 2021/2022
MEDI KONS
Vol 8
, No 1
(2024)
Abstract
Parents are adults who bring children to adulthood, especially during development. The task of parents is to equip and prepare children for adulthood by providing guidance and direction that can help children in living life. And currently, during the pandemic, the education sector is also still running online systematically, therefore the control of children's learning is less able to be monitored by teachers. The role of parents is to assist children in learning, so that the child's le...
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Music-Genre Classification using Bidirectional Long Short-Term Memory and Mel-Frequency Cepstral Coefficients
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Music genre classification is one part of the music recommendation process, which is a challenging job. This research proposes the classification of music genres using Bidirectional Long Short-Term Memory (BiLSTM) and Mel-Frequency Cepstral Coefficients (MFCC) extraction features. This method was tested on the GTZAN and ISMIR2004 datasets, specifically on the IS-MIR2004 dataset, a duration cutting operation was carried out, which was only taken from seconds 31 to 60 so that it had the same durat...
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27 Sitasi