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Menampilkan 51–60 dari 5069 artikel
Integrated Sustainable Manufacturing and Waste Management Framework for Medium-Density Fiberboard (MDF): Finite Element Methods-Based Structural Optimization for Bookshelf Applications
Medium-density fiberboard (MDF) is commonly used in furniture manufacture because of its consistent qualities, low cost, and ease of processing. However, its relatively short lifespan and rising market demand have resulted in substantial waste generation, posing serious environmental and disposal concerns. This study provides an integrated sustainable manufacturing and waste management framework for MDF that incorporates artificial intelligence technology and finite element method (FEM)-based st...
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The influence of self-concept conflict and parental influence on emotional and personality-related career decision-making difficulties in special sports class students
This study aims to explore how self-concept conflict and parental influence impact the emergence of emotional and personality barriers in the career decision-making process, specifically among KKO students at SMA Negeri 1 Pengasih. This study employed a quantitative correlational method, involving 108 students as a sample using a saturated sampling technique. Validity was assessed through expert judgment, while reliability was calculated using Cronbach's Alpha. Data were statistically processed...
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The Effectiveness of Combined Hatha Yoga and Tandem Walking Exercise on Balance among Older Adults in Malang
Rosidah, Nikmatur
; Ameylia, Ananda Viona
; Yuliadarwati, Nungki Marlian
; Prastowo, Bayu
; Ningrum, Annisa Salsabila Budi
; Rizal, Fahmi
; Acharya, Anup
; Prasetyo, Dwi Agung
FISIO MU: Physiotherapy Evidences
Vol 7
, No 2
(2026)
Introduction: Age-related declines in muscle strength, proprioception, and postural control contribute to balance impairment among older adults and increase the risk of falls. Non-pharmacological interventions, particularly structured physical exercise combining relaxation and balance training, have been recommended to improve balance performance. This study aimed to evaluate the effect of a combined Hatha Yoga and Tandem Walking Exercise program on balance among older adults in Malang. scores....
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AROMATERAPI MINYAK PAPPERMINT SEBAGAI TERAPI KOMPLEMENTER DALAM MENGURANGI MUAL DAN MUNTAH PADA IBU HAMIL
Mual dan muntah pada ibu hamil (emesis gravidarum) merupakan keluhan umum pada trimester pertama yang dapat menurunkan kualitas hidup dan berisiko menimbulkan komplikasi jika tidak ditangani dengan tepat. Terapi farmakologis sering menimbulkan kekhawatiran terkait efek samping bagi janin, sehingga pengobatan komplementer seperti aromaterapi menjadi alternatif yang banyak diminati. Penelitian ini bertujuan untuk mengkaji secara sistematis bukti ilmiah mengenai efektivitas aromaterapi minyak peppe...
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KADAR FLAVONOID TOTAL DAN AKTIVITAS ANTIKOLESTEROL IN VITRO PADA VARIASI EKSTRAK KULIT BUAH ALPUKAT (Persea americana)
Penyakit kardiovaskular merupakan penyebab utama kematian secara global. Penyakit kardiovaskular tiga kali lebih umum terjadi pada individu dengan kolesterol tinggi dibandingkan pada individu yang sehat. Salah satu dari beberapa tanaman obat yang dapat menurunkan kolesterol diantaranya adalah alpukat (Persea americana Mill.) pada bagian kulitnya. Kulit alpukat (Persea americana Mill.) mengandung senyawa flavonoid. Telah dibuktikan bahwa tanaman yang mengandung banyak senyawa flavonoid dapat menu...
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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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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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Spatial Vulnerability Index Modeling for Climate Change Risk Assessment in Indonesia
This study develops a Fuzzy Logic-based Intelligent Decision Support Model (IDSM) to map climate change vulnerability across 34 Indonesian provinces, using 20 variables grouped into four parameters: greenhouse gases, geological factors, anthropological factors, and weather conditions. Data from 2015–2020 were sourced from the Global Atmosphere Watch, LAPAN, BASINS-CAT, BPS, and the DigComp 2.0 framework at the provincial level. The methodology involved data normalization, trend analysis via line...
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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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