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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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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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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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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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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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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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