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Menampilkan 1–10 dari 5656 artikel
Data-Driven Machine Learning Models for Steam Turbine Efficiency Prediction
Increased electricity consumption in Indonesia requires coal-fired power plants to operate at high efficiency. This study proposes a data-driven approach to predict the efficiency of coal-fired steam turbines by utilizing 844 historical operational data points from the XYZ coal-fired power plant. Input variables include main steam pressure and temperature, main steam flow, final feedwater temperature, and condenser vacuum pressure. Four machine learning algorithms, namely Random Forest, Extra Tr...
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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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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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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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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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Efektivitas Influencer Lokal dalam Strategi Promosi Pariwisata Digital di Kota Surakarta
Jurnal Audience: Jurnal Ilmu Komunikasi
Vol 9
, No 2
(2026)
enelitian ini mengkaji efektivitas influencer lokal sebagai agen promosi pariwisata digital di Kota Surakarta menggunakan pendekatan metode campuran (mixed methods) dengan desain convergent parallel. Penetrasi internet di Pulau Jawa yang mencapai 84,69%, tertinggi di antara seluruh wilayah Indonesia (APJII, 2025), turut mendorong tingginya keterhubungan digital di kawasan Solo Raya wilayah aglomerasi perkotaan berpenduduk sekitar 6,8 juta jiwa yang mencakup Kota Surakarta dan enam kabupaten peny...
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Indonesian Netizen Responses to Energy Inflation Threats after the Strait of Hormuz Crisis
Konety, Neneng
; Wicaksono, Samuel Adiprana
; Rosanta, Sesilia
; Paluin, Ryenov Gilang
; Sari, Deasy Silvya
Jurnal Audience: Jurnal Ilmu Komunikasi
Vol 9
, No 2
(2026)
The escalation of the United States–Iran conflict through Operation Epic Fury in February 2026 paralysed the Strait of Hormuz, pushing world oil prices up and strengthening the USD against the Rupiah. This study aims to identify the spectrum of emotional responses of Indonesian netizens on platform X toward the resulting threat of energy inflation, and to explain how a macro geopolitical crisis is collectively constructed and given meaning in digital space. The novelty of the study lies in its i...
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