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Menampilkan 1–10 dari 33 artikel
Analisis Keterampilan Teknik Dribbling dan Kontrol Bola dalam Permainan Sepak Bola pada Siswa SMK Methodist Tanjung Morawa
Jendela Olahraga
Vol 11
, No 01
(2026)
Penelitian ini dilatar belakangi oleh rendahnya penguasaan teknik dasar sepak bola, terutama dribbling dan kontrol bola, pada siswa yang mengikuti kegiatan ekstrakurikuler sepak bola di SMK Methodist Tanjung Morawa. Keterampilan dasar tersebut sangat penting karena menjadi fondasi utama dalam permainan sepak bola yang efektif, namun kenyataannya banyak siswa yang belum mampu menampilkan teknik dasar dengan baik sehingga berdampak pada performa dan pencapaian prestasi. Tujuan dari penelitian ini...
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Analyzing Digital Utility App Adoption: A UTAUT Approach on PLN Mobile with Technological Literacy as a Moderator
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
This study examines customers' determinants of behavioral intention to utilize the PLN Mobile application using the Unified Theory of Acceptance and Use of Technology (UTAUT) with technological literacy as a moderating variable. The data were collected from 399 respondents in the UP3 Western Flores Area using purposive sampling and analyzed by Partial Least Squares Structural Equation Modeling (PLS-SEM). The model demonstrated adequate reliability and validity (AVE > 0.5; composite reliabilit...
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Pengaruh Penambahan Proporsi Superplasticizer Terhadap Sifat Mekanik Beton
Jurnal Teknik Sipil
Vol 18
, No 2
(2025)
Beton merupakan material utama konstruksi yang masih memiliki kelemahan pada kuat tekan dan permeabilitas. Inovasi dengan penambahan Superplasticizer diharapkan mampu meningkatkan kualitas beton. Permasalahan penelitian ini adalah bagaimana pengaruh variasi dosis Superplasticizer (1%, 1,5%, dan 2% dari berat semen) terhadap kuat tekan dan permeabilitas beton dibandingkan beton normal. Penelitian ini menggunakan metode eksperimen dengan membuat 48 sampel beton silinder dan kubus yang diuji kuat t...
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Dampak Ovecrowded Terhadap Pemenuhan Hak Pelayanan Kesehatan Narapidana Berpenyakit Menular di Lembaga Kelas II B Tanjung Balai Asahan
Jurnal Penelitian Serambi Hukum
Vol 19
, No 01
(2025)
Overcrowding or overcapacity in correctional institutions is a serious problem that directly impacts the fulfilment of prisoners' basic rights, particularly their right to health care. The Tanjung Balai Asahan Class IIB Correctional Institution currently houses 1,127 prisoners, exceeding its official capacity of 707. This situation creates obstacles in the implementation of health care policies, especially for prisoners suffering from infectious diseases such as HIV/AIDS, tuberculosis, hepatitis...
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Integrating Quantum, Deep, and Classic Features with Attention-Guided AdaBoost for Medical Risk Prediction
Kusuma, Muh Galuh Surya Putra
; Setiadi, De Rosal Ignatius Moses
; Herowati, Wise
; Sutojo, T.
; Adi, Prajanto Wahyu
; Dutta, Pushan Kumar
; Nguyen, Minh T.
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
Chronic diseases such as chronic kidney disease (CKD), diabetes, and heart disease remain major causes of mortality worldwide, highlighting the need for accurate and interpretable diagnostic models. However, conventional machine learning methods often face challenges of limited generalization, feature redundancy, and class imbalance in medical datasets. This study proposes an integrated classification framework that unifies three complementary feature paradigms: classical tabular attributes, dee...
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2 Sitasi
Integrating Hybrid Statistical and Unsupervised LSTM-Guided Feature Extraction for Breast Cancer Detection
Setiadi, De Rosal Ignatius Moses
; Ojugo, Arnold Adimabua
; Pribadi, Octara
; Kartikadarma , Etika
; Setyoko, Bimo Haryo
; Widiono, Suyud
; Robet, Robet
; Aghaunor, Tabitha Chukwudi
; Ugbotu, Eferhire Valentine
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Breast cancer is the most prevalent cancer among women worldwide, requiring early and accurate diagnosis to reduce mortality. This study proposes a hybrid classification pipeline that integrates Hybrid Statistical Feature Selection (HSFS) with unsupervised LSTM-guided feature extraction for breast cancer detection using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. Initially, 20 features were selected using HSFS based on Mutual Information, Chi-square, and Pearson Correlation. To addres...
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3 Sitasi
Increasing Financial Management Awareness of Indonesian Immigrant Workers in Taiwan Through Training Activities
Brata, Ignatius Oki Dewa
; Bayunitri, Bunga Indah
; Laksono T. Y., H. R. Roosaleh
; Kartadjumena, Eriana
Indonesian Journal of Empowerment and Community Service
Vol 6
, No 1
(2025)
ABSTRACT
Limited understanding of financial management among Indonesian migrant workers (IMWs) in Taiwan often leads to financial instability, both during their employment and after returning home. One of the main contributing factors is the lack of access to financial education. This community service program aims to enhance the financial awareness and management skills of IMWs through a series of structured training activities. The method involved five key stages: needs assessment, material pr...
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Aspect-Based Sentiment Analysis on E-commerce Reviews using BiGRU and Bi-Directional Attention Flow
Setiadi, De Rosal Ignatius Moses
; Warto, Warto
; Muslikh, Ahmad Rofiqul
; Nugroho, Kristiawan
; Safriandono, Achmad Nuruddin
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Aspect-based sentiment Analysis (ABSA) is vital in capturing customer opinions on specific e-commerce products and service attributes. This study proposes a hybrid deep learning model integrating Bi-Directional Gated Recurrent Units (BiGRU) and Bi-Directional Attention Flow (BiDAF) to perform aspect-level sentiment classification. BiGRU captures sequential dependencies, while BiDAF enhances attention by focusing on sentiment-relevant segments. The model is trained on an Amazon review dataset wit...
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7 Sitasi
Feature Fusion with Albumentation for Enhancing Monkeypox Detection Using Deep Learning Models
Pratama, Nizar Rafi
; Setiadi, De Rosal Ignatius Moses
; Harkespan, Imanuel
; Ojugo, Arnold Adimabua
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
Monkeypox is a zoonotic disease caused by Orthopoxvirus, presenting clinical challenges due to its visual similarity to other dermatological conditions. Early and accurate detection is crucial to prevent further transmission, yet conventional diagnostic methods are often resource-intensive and time-consuming. This study proposes a deep learning-based classification model by integrating Xception and InceptionV3 using feature fusion to enhance performance in classifying Monkeypox skin lesions. Giv...
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15 Sitasi
A Quantum Circuit Learning-based Investigation: A Case Study in Iris Benchmark Dataset Binary Classification
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
This study presents a Quantum Machine Learning (QML) architecture for perfectly classifying the Iris flower dataset. The research addresses improving classification accuracy using quantum models in machine-learning tasks. The objective is to demonstrate the effectiveness of QML approaches, specifically the Variational Quantum Circuit (VQC), Quantum Neural Network (QNN), and Quantum Support Vector Machine (QSVM), in achieving high performance on the Iris dataset. The proposed methods result in pe...
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4 Sitasi