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Menampilkan 1–10 dari 1615 artikel
Banana Peel-Derived Activated Carbon/MnO₂ Composites for Supercapacitor Electrode Applications
Herwanti, Katarina
; Saptono Nugrohadi
; Muhammad Taufiq Anwar
; Stanislaus Christo Petra Nugraha
; Dail Umamil Asri
; Noening Andrijati
Banana peel waste is an abundant agricultural by-product with high carbon content but remains largely underutilized. This study presents a preliminary investigation into the conversion of banana peel waste into activated carbon and its integration with manganese dioxide (MnO₂) to produce biomass-derived composite electrodes for supercapacitor applications. Activated carbon was prepared by carbonization followed by chemical activation using 30 wt% H₃PO₄, while MnO₂–carbon composites were synthesi...
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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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OPTIMALISASI PRODUKSI PODCAST DAN BERITA MELALUI PEMANFAATAN TEKNOLOGI DIGITAL DI MEDIA ONLINE INDOPOSCO
Alyanabilla, Deana
; Universitas Muhammadiyah Tangerang
; Sari, Dian Nurvita
; Universitas Muhammadiyah Tangerang
; Hamidi, Hamidi
; Universitas Muhammadiyah Tangerang
; Basit, Abdul
; Universitas Muhammadiyah Tangerang
Aguna: Jurnal Ilmu Komunikasi
Vol 7
, No 2
(2026)
Penelitian ini bertujuan untuk menganalisis optimalisasi produksi podcast dan berita dengan memanfaatkan teknologi digital pada media online Indoposco, berdasarkan teori konvergensi media yang dikemukakan oleh Henry Jenkins. Teori ini mencakup teknologi, ekonomi, budaya, sosial, dan global. Dengan pendekatan deskriptif kualitatif, data dikumpulkan melalui wawancara mendalam dengan manajemen redaksi internal (seperti direktur konten, pemimpin redaksi, dan tim kreatif) serta konsumen eksternal (Ge...
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REPRESENTASI KONSTRUKSI REALITAS KARAKTER HAN SORA DALAM FILM FOLLOWING (ANALISIS SEMIOTIKA ROLAND BARTHES)
Rachmania, Rizqina
; Universitas Muhammadiyah Tangerang
; Sari, Dian Nurvita
; Universitas Muhammadiyah Tangerang
; Primagara, Megi
; Universitas Muhammadiyah Tangerang
; Hamidi, Hamidi
; Universitas Muhammadiyah Tangerang
Aguna: Jurnal Ilmu Komunikasi
Vol 7
, No 2
(2026)
Penelitian ini dilatarbelakangi oleh maraknya fenomena manipulasi identitas di media sosial yang mewajibkan batas antara fakta dan citra. Fokus utama penelitian ini adalah menganalisis representasi konstruksi realitas pada karakter Han Sora dalam film Following (2024). Tujuan penelitian ini adalah untuk membedah mekanisme naratif dan sinematik yang digunakan subjek dalam membangun identitas artifisial, serta dampaknya terhadap krisis identitas individu di era post-truth . Penelitian ini mengguna...
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Factors Associated With Subjective Musculoskeletal Disorder (MSD) Complaints Among Fitness Instructors In Semarang City, 2025
Journal of Occupational Health, Hygiene and Safety
Vol 4
, No 1
(2026)
instructors due to repetitive movements, high physical load, and prolonged teaching duration. This study aimed to analyze factors associated with subjective MSD complaints among fitness instructors in Semarang City in 2025. A quantitative cross-sectional study was conducted with 110 instructors selected by accidental sampling. Data were collected using the Standardized Nordic Questionnaire (SNQ) and Rapid Entire Body Assessment (REBA). Bivariate analysis used Spearman Rank, Chi-square, and...
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The Effect of Nutritional Status and Workload Intensity on Fatigue and Productivity Levels Among Production Unit Workers at PT X in East Jakarta, DKI Jakarta
Journal of Occupational Health, Hygiene and Safety
Vol 4
, No 1
(2026)
Achieving health in the workplace is greatly influenced by how the workforce fulfills its nutritional requirements. Every worker needs nutrients according to the type of work they do. Heavy work requires consuming more calories compared to medium and light work, this is basically to achieve a balance between nutritional intake and workload. Fulfillment of nutrition that is not appropriate to the workload can cause a decrease in productivity and increase the potential for experiencing work fatigu...
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Analisis Sentimen Ulasan Pengguna Layanan Publik Menggunakan Algoritma Naïve Bayes
Journal of Informatics Education
Vol 9
, No 1
(2026)
This study aims to analyze the sentiment of user reviews of the Super App Polri application on the Google Play Store using the TF-IDF feature extraction method and the Multinomial Naïve Bayes classification algorithm. Super App Polri is a digital service of the Indonesian National Police providing SIM, STNK, SKCK renewals, and public complaint services. Data were collected via web scraping of 3,500 user reviews. Preprocessing stages—cleansing, case folding, tokenizing, stopword removal, and stem...
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Low-Dose Salinomycin Targets Multidrug Resistance via P-Glycoprotein and NF-κB in Osteosarcoma Cells
Ayu, Onarisa
; Rusda, Muhammad
; Sembiring, Rosita Juwita
; Nasution, Iqbal Pahlevi Adeputra
; Mahyudin, Ferdiansyah
; Amin, Mustafa Mahmud
; Pasaribu, Hotma Partogi
; Tobing, Tina Christina Lumban
Chemotherapy resistance in osteosarcoma remains a major clinical obstacle, largely driven by drug efflux mechanisms mediated by P-glycoprotein (ACBC1/ABCB1) and activation of NF-κB signaling (NFKB1). This study investigated the potential of Salinomycin to modulate these multidrug resistance–associated genes in U2OS osteosarcoma cells and explore its role in overcoming chemoresistance. A true experimental post-test-only control group design was used. U2OS cells were treated with varying concentra...
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Quantitative Modeling of Change Order Impacts on Cost and Time Overruns in Indonesian Toll Road Infrastructure Projects
Change Orders (COs) are a major challenge in toll road infrastructure projects, often causing cost and time overruns. This study aims to identify key CO drivers and quantify their impacts on project performance in Indonesian toll road projects. A mixed-methods approach was applied, involving qualitative interviews with 35 experts (project managers, consultants, contractors) and quantitative surveys from 75 respondents covering 20 projects implemented between 2015 and 2023. Data analysis employed...
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