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Menampilkan 31–40 dari 2741 artikel
EFFECTS OF PRETREATMENT METHODS ON THE LIGNOCELLULOSIC COMPOSITION OF SALACCA MIDRIBS
This study aims to determine the effect of pretreatment on hemicellulose, cellulose, and lignin content of Salacca midrib. Unlike previous studies, this study was designed to evaluate the effects of single-, double-, and triple-stage pretreatments on the sallaca midrib. The study was also designed to evaluate the differences in the physical and biological pretreatment methods. The pretreatments applied consist of physical, chemical, biological, physicochemical, chemical-biological, physical-biol...
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MORPHOLOGICAL CHARACTERIZATION OF BRAIN TUMOR TISSUE IN MRI IMAGES USING CNN AND TRANSFER LEARNING
Hilmi, Dafa Fadhilah
; Wibawa, Aji Prasetya
; Agustavada, Ardha Ardhana Putra
; Sholum, Abdullah
; Dwiyanto, Felix Andika
This study evaluates the role of computational pattern recognition as an observational method for analyzing morphological characteristics of brain tumor tissue in MRI data. A total of 6,056 labeled MRI images, including glioma, meningioma, and pituitary tumor cases, were examined. The images were standardized to maintain uniform structural representation and processed using three convolutional-based architectures: a baseline CNN, MobileNetV2, and EfficientNet-B0. Model performance was assessed u...
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Pengaruh Leverage, Ukuran Perusahaan, Profitabilitas, dan Likuiditas Terhadap Pembayaran Dividen Pada Perusahaan LQ45 Periode 2023-2024
Dividend payment is an important financial decision that reflects a company’s performance and prospects from the perspective of investors. However, companies included in the LQ45 index still experience fluctuations in dividend payment policies from year to year. This study aims to analyze the effect of leverage, firm size, profitability, and liquidity on dividend payments of companies listed in the LQ45 index on the Indonesia Stock Exchange (IDX) during the 2023–2024 period. This research employ...
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Pelatihan Koding dan Kecerdasan Artifisial bagi Guru SD di Sukoharjo sebagai Upaya Peningkatan Literasi Digital di Era Society 5.0
Buletin KKN Pendidikan
Vol 8
, No 1
(2026)
Era Society 5.0 menuntut penguatan literasi digital dan computational thinking sejak pendidikan dasar, namun kesenjangan kompetensi guru di daerah pedesaan masih menjadi tantangan utama dalam implementasinya. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas guru sekolah dasar dalam mengintegrasikan koding dan kecerdasan artifisial (AI) ke dalam pembelajaran sebagai upaya mendukung peningkatan literasi digital siswa. Kegiatan dilaksanakan di SDN 03 Mulur, Sukoharjo...
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Attention-Augmented GRU for Stock Forecasting: A Trade-Off Between Directional Accuracy and Price Prediction Error
R. Daniel Hartanto
; Guruh Fajar Shidik
; Farrikh Alzami
; Ahmad Zainul Fanani
; Aris Marjuni
; Abdul Syukur
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
Attention mechanisms have been widely incorporated into recurrent neural network architectures for financial time series forecasting, with most prior work reporting improvements in price-level error metrics. This study revisits that claim through a controlled empirical comparison of four deep learning architectures on nearly two decades of Telkom Indonesia (TLKM) closing price data from the Indonesia Stock Exchange (IDX). The models evaluated are a three-layer Gated Recurrent Unit (GRU) baseline...
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Faktor Internal Terhadap Kinerja Keuangan Pada Perusahaan Sektor Barang Food & Beverage
KOMPAK : Jurnal Ilmiah Komputerisasi Akuntansi
Vol 1
, No 2
(2026)
This study aims to analyze the influence of internal company factors, including company size, networking capital, operating efficiency, liquidity, and leverage, on financial performance, proxied by Return on Assets. The research population includes 40 food & beverage subsector companies listed on the Indonesia Stock Exchange during the 2019–2024 period. Using purposive sampling, 17 sample companies were selected, yielding a total of 102 data observations. This study adopts a quantitative app...
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Behavioral Malware Detection via API Call Sequences: A Comparative Study of LSTM and Transformer Architectures Using NLP-Inspired Representations
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
The increasing sophistication of malware has rendered traditional signature-based detection methods insufficient, necessitating behavior-driven and adaptive analytical frameworks. This study presents a sequential deep learning framework that models system-level API call sequences as structured linguistic representations for behavioral malware detection. Unlike conventional comparative studies, this work systematically evaluates recurrent and attention-based architectures under controlled experim...
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Analysis of Hygiene and Sanitation Implementation in the Pastry Division at Aruss Hotel Semarang
The hospitality industry is a strategic sector within the global tourism system that heavily depends on service quality and food safety assurance. In hotel operations, the pastry division represents a high-risk unit due to the use of perishable ingredients and intensive manual handling processes. This study aims to analyze the implementation of hygiene and sanitation practices in the Pastry Division of Hotel Aruss Semarang in supporting food safety standards within the hospitality industry. This...
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Analisis Pola Global dan Lokal Determinan Prevalensi Stunting di Jawa Tengah Tahun 2024 Menggunakan Geographically Weighted Regression
Nugroho, Ivan Wahyu
; Febriansyah, Candra Rifki Eka
; Rahmadhani, Oktavia Suci
; Murti, Basugandhi Sasangka
; Sabil, Safina
; Zuhdi, Shaifudin
; Shaifudin Zuhdi, Universitas Sebelas Maret, Fakultas Teknologi Informasi dan Sains Data
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar belakang: Stunting masih menjadi permasalahan kesehatan masyarakat yang serius di Indonesia, salah satunya di Jawa Tengah. Pendekatan analisis global sering kali belum mampu menangkap perbedaan pengaruh determinan stunting secara local. Tujuan: Penelitian ini bertujuan untuk mengidentifikasi pola global dan lokal determinan stunting di Jawa Tengah menggunakan. Metode: Penelitian kuantitatif ini menggunakan data sekunder agregat dari 35 kabupaten/kota di Jawa Tengah. Analisis dilakukan meng...
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KINERJA BIDAN TERHADAP CAKUPAN IMUNISASI DASAR LENGKAP: STUDI KASUS DI PUSKESMAS BATUWARNO
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar belakang: Capaian Imunisasi Dasar Lengkap (IDL) di Jawa Tengah mengalami fluktuasi dan belum mencapai target Renstra pada beberapa tahun terakhir, dengan penurunan signifikan terjadi di tingkat kecamatan seperti di Puskesmas Batuwarno. Kinerja bidan sebagai pelaksana utama memegang peranan krusial dalam keberhasilan program ini. Tujuan: Penelitian ini bertujuan untuk menganalisis kinerja bidan terhadap cakupan imunisasi dasar lengkap ditinjau dari aspek perencanaan, pelaksanaan, serta pema...
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