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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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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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Microwave-Assisted Self-Healing of AC-WC Modified with Iron Powder: Mechanical Performance and Healing Rate
Amalia Firdaus Mawardi
; Machsus Machsus
; Dadang Supriyatno
; Achmad Faiz Hadi Prajitno
; Muhammad Fikri Nadhif
; Hazen Masrafat
Conventional asphalt mixtures have limited microwave absorption, reducing the effectiveness of microwave-assisted self-healing. This study evaluates the effect of iron powder (0–10% by mass of fine aggregate) as additional fine aggregate in AC-WC mixtures on mechanical performance and microwave-activated healing behavior. Cylindrical specimens (63 mm × 100 mm; three per mixture) were tested using Marshall Stability and Indirect Tensile Strength (ITS) at 25 °C. Healing efficiency was determined b...
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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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PENGUATAN LITERASI DIGITAL MELALUI WORKSHOP DATA SCIENCE DAN MACHINE LEARNING BERBASIS PEMBELAJARAN INTERAKTIF
Abdi Teknoyasa
(2026)
Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi data serta pemahaman konseptual dan aplikatif mengenai Data Science dan Machine Learning bagi sivitas akademika dan masyarakat umum. Kagiatan dilaksanakan oleh tim pengabdian masyarakat Program Studi Teknik Industri, Institut Teknologi Indonesia, melalui penyelenggaraan workshop berbasis pembelajaran interaktif. Materi pelatihan mencakup pengantar konsep data science, teknik pengumpulan dan pembersihan data, analisis...
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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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