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Menampilkan 11–20 dari 674 artikel
Comparative Study of Classical and Quantum Machine Learning Models: Insights into Quantum Advantage in Materials Informatics
Quantum Machine Learning (QML) has emerged as a promising paradigm for addressing increasing computational and representational demands in materials informatics. While classical models such as Support Vector Machines (SVM) achieve strong predictive performance, they often struggle to capture complex, highly correlated interactions in high-dimensional materials data. QML addresses this challenge by leveraging quantum-mechanical principles to construct expressive feature embeddings, where prospect...
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Cost-Effectiveness of Antihypertensive Therapy in Ischemic Stroke Patients
VISIKES
Vol 25
, No 1
(2026)
Ischemic stroke is an acute condition caused by the interruption of blood flow to the brain due to blood vessel obstruction, which can lead to permanent disability and death. Hypertension is a major risk factor and the most common comorbidity in ischemic stroke patients. The use of antihypertensive therapy in stroke patients plays a crucial role in controlling blood pressure and preventing complications, but it also increases the burden of medical costs. Therefore, a pharmacoeconomic evaluation...
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A Nonlinear mathematical model of student motivation dynamics with an empirical calibration framework and simulation analysis
Radhiatul Husna
; Angelina Zaskya Hulda
; Indah Rahmadani
; Miftahul Jannah
; Muhammad Zikra
; Najla Nafisa Arsy
; Nanda Putra Kartama
Student learning motivation is a dynamic construct that changes over time in response to support, academic pressure, and fatigue. However, many existing studies examine motivation only at a single point in time or rely on descriptive approaches, limiting their ability to quantify how motivation evolves. This study develops a nonlinear mathematical model of student motivation dynamics and links the model to an empirical calibration framework. The proposed model represents motivation as a bounded...
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Effect of Different Layers on the Performance of Laminate Epoxy Composite Reinforced with Textile Waste
Thomas Junaedi
; Siregar, Januar Parlaungan
; Zalani, Mohamed Reza
; Imran, Al Ichlas
; Tezara Cionita
; Endah Murtiana Sari
; Deni Fajar Fitriyana
; Etanto Heiliano Wijayanto
Post-consumer textile waste poses significant environmental problems, but its potential for commercial recycling remains under-researched. Therefore, this study utilizes calico textile (CT) waste as reinforcement in polymer composites. The effect of layering number of CT in epoxy composite will be investigated. CT was varied with three layers, namely 1, 3, and 5 embedded in epoxy resin with the hand lay-up method in open molding. The mechanical testing of pure epoxy as a control point for tensil...
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Pelatihan Koding dan Kecerdasan Artifisial bagi Guru SD di Sukoharjo sebagai Upaya Peningkatan Literasi Digital di Era Society 5.0
Buletin KKN Pendidikan
Vol 8
, No 1
(2026)
Era Society 5.0 menuntut penguatan literasi digital dan computational thinking sejak pendidikan dasar, namun kesenjangan kompetensi guru di daerah pedesaan masih menjadi tantangan utama dalam implementasinya. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas guru sekolah dasar dalam mengintegrasikan koding dan kecerdasan artifisial (AI) ke dalam pembelajaran sebagai upaya mendukung peningkatan literasi digital siswa. Kegiatan dilaksanakan di SDN 03 Mulur, Sukoharjo...
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A Systematic Analysis of the Impact of Non-Academic Factors on Student Academic Performance Prediction Using Data Mining
Ningsih, Gabriella Caroline Prihayu
; Universitas Sebelas Maret
; Liantoni, Febri
; Sebelas Maret University
; Sujana, Yudianto
; Sebelas Maret University
Telematika
Vol 19
, No 1
(2026)
This study investigates the prediction of students' academic performance using machine learning models through the analysis of 27 research articles. The primary objective is to identify a minimal set of essential features that significantly influence academic outcomes, aiming to optimize model performance and reduce data complexity. A Systematic Literature Review (SLR) was conducted following the PRISMA framework, focusing on key features such as midterm grades, faculty, department, demographic...
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Potential of butterfly pea (Clitoria ternatea) nanoherbal on spermatozoa quality in hyperglycemic rats
Hyperglycemia is a condition characterized by elevated blood glucose levels that induce free radical formation, leading to reduced spermatozoa quality. Butterfly pea (Clitoria ternatea) contains antioxidant compounds and is formulated as a nanoherbal to enhance bioavailability. This study aimed to evaluate the potential of butterfly pea nanoherbal in improving spermatozoa quality in hyperglycemic rats. This experimental study employed a post-test only control group design using 25 male Wistar ra...
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DEVELOPMENT OF WAYANG PICTURE GUESSING GAME (TEBANG) LEARNING MEDIA BASED ON QUICK APP NINJA
Journal of Emerging Technology in Teaching and Learning
Vol 2
, No 1
(2026)
This study aims to develop a practical and effective game-based learning media to address the lack of teacher creativity in designing digital media, specifically for Javanese language subject on Wayang material at MI Tegalroso Parakan. This Research and Development (R&D) used the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The research subjects were third-grade students of MI Tegalroso Parakan (n=8). Data collection instruments included needs questionnaires, medi...
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Development and User Response Analysis of a Wizer.me-Based Digital Worksheet for Teaching Special Relativity
Lontar Physics Today
Vol 5
, No 1
(2026)
Physics learning on special relativity material faces challenges due to its abstract, difficult-to-visualize concepts, while conventional Student Worksheets remain dominant in schools. This study aims to develop a digital LKPD based on the Wizer.me platform for special relativity material and to analyze user responses to the developed media. This study uses a research and development (R&D) method with a 4D model, focusing on the development stage. The research subjects involved two expert va...
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Exploring the Impact of AI Chatbots on Students’ Speaking Skills in EFL Learners: A Systematic Review
Rachmadani, Khulud Oktavia
; Musyafa`ah, Isna Ridhoatul
; Rachmadani, Asti Hijriatul Januanto
; Rachmadani, Ima Fitriyah
ETERNAL: English Teaching Journal
Vol 17
, No 1
(2026)
AI chatbot is one of the latest technologies in solving EFL students' problems with speaking anxiety and limited speaking practice. In this study, we conduct a Systematic Literature Review for the investigation of the effect of using AI chatbots on EFL students' speaking skills and learners' perceptions toward the use of AI chatbots in speaking skill improvement. We followed the SALSA framework, which includes Search, Appraisal, Synthesis, and Analysis to direct our work. We searched Lens.org an...
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