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Menampilkan 61–70 dari 14075 artikel
CFD-Based Thermohydrodynamic Analysis of Vegetable Oil Lubricants in Journal Bearings
This study investigates the thermohydrodynamic performance of journal bearings lubricated with palm trimethylolpropane (TMP) ester as a biolubricant, compared to conventional engine oil, using computational fluid dynamics (CFD) in ANSYS Fluent. The objective is to evaluate the influence of lubricant type on pressure distribution, load carrying capacity, friction force, and cavitation behavior. The results show that palm TMP ester generates higher hydrodynamic pressure while maintaining a similar...
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Creative Economy Development in Enhancing Sustainable Tourism Potential in Kutai National Park, East Kalimantan
This research investigates the integration of the creative economy as a catalyst for sustainable tourism development within Kutai National Park (KNP), East Kalimantan. Despite its ecological significance as a lowland rainforest and Orangutan habitat, KNP faces stagnation due to a reliance on extractive resources and a lack of diversified tourism products. Employing a qualitative descriptive methodology and SWOT analysis, this study maps the creative potential of the region and evaluates its impa...
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Collaborative leadership between principals and school counselors as a predictor of students' PERMA well-being in wetland-based senior high schools
Student well-being is increasingly recognized as a core indicator of educational quality, yet its structural and leadership determinants remain underexplored in wetland-based school systems. This study critically examines whether collaborative leadership between principals and school counselors predicts students’ PERMA well-being in public senior high schools in Provinsi Kalimantan Selatan, Indonesia. Using a multisite quantitative survey, data were collected online from 12 randomly selec...
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An Engineering Perspective on School Digitalization Application Adoption in Indonesia: A Structural Model Using UTAUT2, TTF, and Trust
This study examines the factors that influence the acceptance of digital school applications in Indonesia against the backdrop of the gap between the number of registered users and active users. Data was obtained from 497 respondents and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research model expands UTAUT2 by adding the variables Task-Technology Fit (TTF) and Trust. The results indicate that Trust significantly influences Usage Behavior (β = 0.403; p <...
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Effect of Printing Speed on the Properties of 3D Printed Products Using Recycled PET Filament
Fitriyana, Deni Fajar
; Agung Efriyo Hadi
; Nugroho Suhodo
; Aldias Bahatmaka
; Januar Parlaungan Siregar
; Tezara Cionita
; Zuhriyan Ash Shiddieqy Bahlawan
; Achmad Yanuar Maulana
Recycled PET has been widely studied for its potential use in 3D printing applications. However, few research has examined how printing speed affects recycled PET filament products' mechanical and physical qualities. This research examines how printing speed influences the physical and mechanical qualities of 3D-printed PET filament goods created from mineral water bottle trash. In this study, filament fabrication is carried out using the homemade pultrusion machine, then the filament is used fo...
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Technology-Driven Digital Marketing Strategies and their Impact on E-commerce Purchase Decisions
The rapid growth of internet penetration and digital platforms has transformed marketing practices in Indonesian Vocational Training Centers (LPKs). However, inconsistent outcomes in trainee recruitment highlight a gap in understanding the effectiveness of digital marketing in this context. This study aims to examine the effect of digital marketing on purchase intention, with consumer engagement as a mediator and consumer trust as a moderator. Data were collected from 384 trainees in East and We...
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Comparative Deep Learning Models for Indonesian Gold Price Forecasting
Putra, Albi Pernata Jomantara
; Williamsyah, Baginda Mi’raj
; Rizal, Achmad
; Dewanta, Favian
; Prasasti, Anggunmeka Luhur
; Ziani, Said
This study evaluates LSTM, CNN-LSTM, LSTM-GRU, and CNN-LSTM-GRU architectures for forecasting Indonesian gold prices using 1,269 daily observations (2022–2025). Models utilized Bayesian-optimized hyperparameters and were benchmarked against ARIMA-GARCH and Random Forest baselines across 30-day and 365-day horizons. Performance was assessed via MAE, RMSE, R², and MAPE, confirming deep learning’s superiority in capturing non-linear dynamics over classical methods. The LSTM-GRU achieved the best nu...
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Corrosion Inhibition of Mild Steel by Ethanolic Terminalia microcarpa Decne Leaf Extracts in 3.5% NaCl Solution: A Gravimetric and Surface Analysis Studies
Mild steel is widely used but vulnerable to corrosion, with conventional inhibitors posing toxicity risks. This study evaluated the leaf extracts of Terminalia microcarpa Decne, also locally known as kalumpit, as a green corrosion inhibitor for mild steel in a 3.5% NaCl solution. The prepared extracts, characterized by FTIR, were found to contain phytochemicals with inhibition potential. Weight loss measurements showed that inhibition efficiency was concentration-dependent, but was not influence...
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Comparative Evaluation of Automatic Labeling and Modeling Strategies for Indonesian Sentiment Analysis: Methodology and Performance Evaluation
Latifa, Khoiriya
; Agung Handayanto
; Nur Latifah Dwi M.S
; Rahul Bhandari
; Ton Nguyen Trong Hien
; Doston Pirnazarov
Sentiment analysis is vital for understanding consumer perception, yet Indonesian sentiment classification faces challenges due to labeled data scarcity and computational constraints. This study advances automatic labeling techniques and establishes performance benchmarks for Indonesian text. The research compares two labeling approaches InSet Lexicon and IndoBERT based Hugging Face pipeline on 8,447 Tapera-related opinions. Results show InSet Lexicon produced a highly skewed distribution (89.66...
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Implementation of Project-Based Learning (PjBL) Assisted by Geogebra Application to Improve Students’ Spatial Abilities
The purpose of this study was to determine whether the implementation of the Geogebra-assisted Project Based Learning (PjBL) model has an impact on improving students' spatial abilities or not. Quantitative method with experiments was used in this study. The sample used was class B and C students of Mathematics Education IAIN Kudus class of 2022/2023 who were selected through cluster random sampling techniques. To determine the level of effectiveness, pretest and posttest instruments were given...
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