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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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Enhanced Self-Esteem Classification: Leveraging Data Augmentation and Transformer-Based Sentence Embeddings
Ahmadiansah, Reza
; Mukti Ali
; Rasimin
; Achmad Maimun
; Kastolani
; Imam Subqi
; Embun Bening Di Moravia
; Semma, Andi Bahtiar
This study investigates automated self-esteem assessment from self-descriptive text using transformer-based sentence embeddings. Although prior research has explored text, behavioral, and multimodal signals, the combined effects of data augmentation, embedding choice, and classifier complexity in text-only self-esteem classification remain insufficiently understood.Accordingly, this study aims to systematically evaluate embedding–classifier combinations under both low-resource and augmented data...
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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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Sustainable Cement Paste Incorporating Andesite Waste Powder: Mechanical Performance and Feasibility for Ornamental Elements
Utilising industrial waste as a partial solution for Portland cement has become more common as the need for environmentally friendly building materials grows. The potential of using andesite waste powder (AWP), a byproduct of the stone-processing industry, as a cementitious material for ornamental cement-based products is examined in this study. The flowability, dry unit weight, and compression strength tests were done on cement paste samples with 0%, 50%, and 75% AWP replacement levels at water...
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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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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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A Sustainable Computational Framework for Breast Cancer Screening: Optimizing High-Dimensional Feature Spaces via MVP-PCA for Resource-Constrained Environments
The rapid integration of Electronic Health Records (EHR) demands the efficient processing of high-resolution medical images. However, deep learning architectures applied to mammography classification often produce massive, high-dimensional feature spaces susceptible to the curse of dimensionality and anatomical noise. Furthermore, conventional dimensionality reduction approaches tend to cause over-reduction, which destroys crucial microcalcification textures. To address these challenges, this st...
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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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OPTIMALISASI PENGELOLAAN SAMPAH ORGANIK RUMAH TANGGA MENGGUNAKAN METODE BIO-ECOMPOST UNTUK PRODUKSI KOMPOS DI KELURAHAN ANDUONOHU
Abdi Teknoyasa
(2026)
Pengelolaan sampah organik rumah tangga masih menjadi tantangan di Kelurahan Anduonohu, Kota Kendari, seiring tingginya timbulan sampah dan rendahnya praktik pemilahan di tingkat rumah tangga. Kegiatan pengabdian ini bertujuan untuk mengoptimalkan pengelolaan sampah organik melalui penerapan metode bio-Ecompost sebagai teknologi tepat guna dalam produksi kompos rumah tangga. Metode pelaksanaan meliputi sosialisasi, pelatihan teknik pengomposan, pendampingan implementasi pada 20 rumah tangga, ser...
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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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