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Menampilkan 1–10 dari 1715 artikel
Loading-Dependent Physicochemical Characteristics of LiMn2O4 Composites with Plasma-Modified and Ammonia-Functionalized Rice Husk Carbon
Harianingsih, Harianingsih
; Deni Fajar Fitriyana
; Januar Parlaungan Siregar
; Agung Budiwirawan
; Ari Dwi Nur Indriawan
; Suryo Wiroyudho Wibowo
; Rizky Ilham Fadzillah
; Nabila Khoirunisa
This study investigates LiMn2O4 composites incorporated with nitrogen-functionalized rice husk-derived carbon as a sustainable secondary phase for cathode material development. Rice husk carbon was prepared through carbonization, acid-assisted activation, plasma treatment, and ammonia functionalization, then mechanically blended with LiMn2O4 at 2, 3, and 4 wt.% to obtain LMO-NC2, LMO-NC3, and LMO-NC4, respectively. FTIR analysis showed absorption bands at approximately 3390, 1625, 1400, 1008, 83...
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Evaluating Disruption Risk to Foster Resilience in Humanitarian Supply Chain: An Integrated SV-PSI and EDAS Model
Sutrisno, Agung
; Spreafico, Christian
; Putro, Muhammad Dwisnanto
; Yusupa, Ade
; Tjolleng, Amir
; Lokaputra, Kenji
The evaluation of the risks in humanitarian supply chain operations is crucial to prevent losses due to disasters. However, many quantitative studies in the literature are aimed at the profit-oriented supply chain, while those in the field are based on the subjective preferences of decision-makers, making risk prioritization less accurate. To fill this gap, this study presents a theoretically improved approach for this purpose by integrating statistical variance, preference selection index (PSI)...
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LDWFOX Optimization for Hyperparameter Tuning of Inception CNN in UAV-Based Vegetation Density Mapping
Pramunendar, Ricardus Anggi
; Alomoush, Ashraf
; Prabowo, Dwi Puji
; Megantara, Rama Aria
; Alzami, Farrikh
; Winarsih, Nurul Anisa Sri
; Pergiwati, Dewi
; Shidik, Guruh Fajar
Vegetation density classification from UAV imagery is a practical necessity in fire-prone landscapes, since fuel load on the ground directly informs risk management decisions. Convolutional neural networks handle this classification reasonably well, but good performance requires careful hyperparameter tuning, and manual trial and error produces results that are unstable and hard to reproduce. This study proposes LDW-FOX, a modified FOX metaheuristic using a Linearly Decreasing Weight mechanism t...
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Korelasi Lama Menstruasi dan Kepatuhan Konsumsi Tablet Tambah Darah dengan Kejadian Anemia pada Remaja Putri
Vol 17
, No 02
(2026)
Latar belakang: Anemia merupakan permasalahan kesehatan remaja yang dapat menurunkan konsentrasi belajar, kelelahan, gangguan pertumbuhan, dan daya tahan tubuh. Faktor risiko anemia yaitu lama menstruasi yang berakibat pada defisiensi zat besi. Selain itu, kepatuhan konsumsi Tablet Tambah Darah juga menjadi faktor penting pencegahan anemia. Namun, tingkat kepatuhan konsumsi TTD pada remaja putri masih rendah sehingga risiko anemia tetap tinggi. Tujuan penelitian: Mengetahui hubungan lama menstru...
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Hubungan Anemia dan Kekurangan Energi Kronis (KEK) dengan Kejadian Berat Badan Lahir Rendah (BBLR) di RSUD Kota Salatiga (Revisi)
Vol 17
, No 02
(2026)
Angka kejadian Bayi Berat Lahir Rendah (BBLR) di RSUD Kota Salatiga meningkat dari 12,6% (2024) menjadi 14,3% (2025). Masalah ini diduga berkaitan dengan kondisi anemia dan Kekurangan Energi Kronis (KEK) pada ibu selama kehamilan. Penelitian ini bertujuan mengetahui hubungan anemia dan KEK dengan kejadian BBLR. Penelitian kuantitatif analitik observasional menggunakan desain case-control dan pendekatan retrospektif. Dari populasi 874 bayi lahir tahun 2025, diambil sampel sebanyak 375 responden (...
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Scalable TOPSIS Variants in Web-Based Decision Support Systems: A Performance Benchmarking Study on Vectorization and Uncertainty Modelling
This study systematically benchmarks the computational performance and decision consistency of three TOPSIS variants—classical TOPSIS, vectorized TOPSIS, and Z-TOPSIS—in scalable web-based multi-criteria decision support systems (DSS). Although TOPSIS is widely used due to its simplicity and interpretability, its scalability and computational behavior under concurrent web workloads remain insufficiently explored. To address this gap, the algorithms were evaluated using datasets containing 50–500...
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FTFPOS-IDF: A Fuzzy Rule-Based Thematic Term Weighting Scheme for Bloom's Taxonomy Question Classification
The increasing adoption of Artificial Intelligence (AI) in education has created a growing demand for automated and reliable assessment systems. Existing Bloom’s Taxonomy (BT) question classification approaches commonly rely on TF-IDF-based weighting schemes, which assign static term weights and often fail to capture the varying thematic importance of terms across cognitive levels. To address this limitation, this study proposes a novel Fuzzy Thematic Feature and Part-of-Speech Inverse Document...
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CFD Simulation of Flame Characteristics Resulting from Volatile Matter Combustion of Various Biomass Pellets
Fitrah, Ramavi Akbar Akhsanul
; Kusumaningtyas, Ratna Dewi
; Widjanarko, Dwi
; Widyastuti, Catur Rini
; Hidayat, Muslikhin
; Aziz, Muhammad
While biomass is a promising carbon-neutral alternative to coal, the specific volatile matter (VM) flame characteristics of diverse biomass pellets, particularly water hyacinth, remain under-researched. This study uses a numerical CFD approach (Ansys Fluent) to investigate how varying VM fractions influence flame structure in a 2D planar slice of the furnace block (25 cm width). Simulations employed the SST k–ω turbulence and Eddy dissipation model to capture mixing-limited chemical reactions. B...
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Comparative Analysis of Manual and Electronic Medical Record Data Quality at Panti Waluyo Yakkum Hospital, Surakarta
Nurfika, Nurfika
; Wulandari, Sri
; Iskandar, Dwi
; Nurfika, Nurfika
; Wulandari, Sri
; Iskandar, Dwi
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 7
, No 1
(2026)
The quality of medical record data is an important component in supporting the quality of health services, decision making, and continuity of patient services. This study aims to compare the quality of manual and electronic medical record data based on the completeness of the discharge summary at Panti Waluyo Yakkum Hospital, Surakarta. The research method used a comparative quantitative design with a cross-sectional approach on 756 samples, consisting of 378 manual medical records and 378 elect...
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Analysis of the Efficiency of Universal Bacterial Filters with the Adapter Port on the GE Carescape R860 Ventilator Using the Uncertainty Method
Pramusinto, Dian Bambang
; Dwi Prasetyowati, Sri Arttini
; Pramusinto, Dian Bambang
; Dwi Prasetyowati, Sri Arttini
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 7
, No 1
(2026)
The frequency of filter replacement that must always be replaced increases the hospital's budget requirements for consumables (BHP). An alternative solution is to replace the original filter with a universal filter with the addition of ports so that it can be compatible on the ventilator machine. This study aims to analyze the effect of using universal bacterial filters modified with ports to be compatible with ventilators. The research was conducted with a quantitative approach and internal and...
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