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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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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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Dynamic Chaotic–Adversarial Framework for High-Capacity and Imperceptible Image Steganography
Sari, Wellia Shinta
; Sari, Christy Atika
; Setiyani, Safira Hasna
; Triyono, Agus
; Ali, Rabei Raad
The rapid growth of digital communication has intensified concerns regarding data confidentiality as sensitive information transmitted through multimedia images is increasingly vulnerable to interception and unauthorized analysis. Conventional image steganography methods often struggle to simultaneously achieve high embedding capacity, strong imperceptibility, and resistance to modern steganalysis. To address this challenge, this study proposes a steganographic framework that integrates dynamic...
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Lightweight Dual-Layer Chaotic Image Encryption Using Arnold Cat Map and Henon Zigzag Diffusion
Umam, Chaerul
; Abdussalam, Abdussalam
; Nursetyo, Arif
; Sugiarto, Bambang
; Islam, Husain Md Mehedul
Digital image transmission over open networks raises significant security concerns due to the high correlation and predictable statistical properties of image data. Existing chaotic encryption schemes based on Arnold Cat Map (ACM) and Henon mapping often suffer from high computational cost, parameter sensitivity, or reliance on complex multi-stage designs. To address these limitations, this study proposes a lightweight dual-layer chaotic image encryption framework that integrates ACM-based pixel...
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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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Two Regimes of Valuation: Commercial Extraction and Administrative Devaluation in the Political Economy of Communication
Jurnal Audience: Jurnal Ilmu Komunikasi
Vol 9
, No 2
(2026)
This article develops a critical political-economy analysis of how communicative work becomes economically and legally intelligible. It examines two empirical sites, a) the commercial political commentary of the American podcast Pod Save America (PSA) on Donald Trump's reciprocal tariff policy, and the prosecution of Indonesian videographer Amsal Christy Sitepu over village profile videos produced under a digital-village program. Drawing on Vincent Mosco's political economy of communication, the...
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Festival Serabi Likuran Sebagai Model Komunikasi Budaya Pembentuk Place Branding Desa Wisata Penggarit
Jurnal Audience: Jurnal Ilmu Komunikasi
Vol 9
, No 2
(2026)
Tradisi Serabi Likuran merupakan praktik budaya berbasis kuliner yang berkembang di masyarakat Desa Wisata Penggarit. Tradisi ini mulanya sebagai bentuk silaturahmi dan komunikasi sosial pada malam-malam akhir Ramadhan, yang kemudian dikembangkan menjadi festival budaya. Penelitian ini bertujuan untuk menganalisis model komunikasi budaya dalam tradisi tersebut serta mengkaji transformasinya menjadi festival budaya dan instrumen place branding desa wisata Penggarit. Metode penelitian menggunakan...
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Sosialisasi Scratch Sebagai Media Plugged Coding Untuk Penguatan Numerasi Sekolah Dasar
Journal of Informatics Education
Vol 9
, No 1
(2026)
Transformasi pembelajaran digital di sekolah dasar memerlukan media yang tidak hanya menarik, tetapi juga mendukung kemampuan numerasi dan keterampilan berpikir siswa. Kegiatan pengabdian ini bertujuan meningkatkan kompetensi guru dalam memanfaatkan Scratch sebagai media ajar plugged coding serta memberikan pengalaman pembelajaran numerasi yang lebih interaktif kepada siswa. Kegiatan dilaksanakan di SDN 2 Tegowanu Wetan menggunakan pendekatan partisipatif melalui empat tahap, yaitu persiapan, so...
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Model Pendampingan Rebranding UMKM Berbasis Partisipatif dalam Penguatan Citra dan Daya Saing Produk Lokal di Desa Somosari, Kabupaten Jepara
Mahfudlah Fajrie
; Fajrie, Mahfudlah
; Putri Aprilia, Ika
; Fathiya Izzatullah, Hani
; Hisyam Maulana, Muhammad
; Afandi Setiadi, Muhammad
Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran strategis dalam mendorong pertumbuhan ekonomi desa, namun masih menghadapi berbagai kendala dalam aspek branding dan pemasaran produk. UMKM “2 Saudara” di Desa Somosari, Kabupaten Jepara, merupakan salah satu pelaku usaha makanan ringan yang mengalami keterbatasan pada identitas visual, desain kemasan, dan strategi promosi sehingga berdampak pada rendahnya daya saing produk. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasika...
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