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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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In Vitro Degradation and Mechanical Performance of Mg AZ31B for Biodegradable Bone Implant Applications
Magnesium AZ31B is a promising biodegradable implant material due to its mechanical properties comparable to natural bone and its ability to degrade in physiological environments, potentially eliminating the need for secondary surgery. However, its rapid degradation can cause a significant loss of mechanical integrity, limiting its use in load-bearing applications. This study investigates the evolution of mechanical properties and surface characteristics of AZ31B during in-vitro immersion in Sim...
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TESTING OF DEXAMETHASONE TOXICITY TO CARDIOMETABOLIC AND MALFORMATION OF ZEBRAFISH (Danio rerio Hamilton, 1882) LARVAE
This study aims to evaluate the toxicity effects of dexamethasone on survival, hatching, cardiometabolic function, and the emergence of malformations in zebrafish larvae (Danio rerio), a vertebrate model organism. The study was conducted during the embryonic to early larval phase (0 – 96 hpf) using an in vivo experimental design with complete randomization, following the Zebrafish Embryo Toxicity Test (ZFET) approach, in accordance with OECD 236 guidelines. Zebrafish embryos were exposed to va...
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Miniature Medical Car Didukung dengan Pulse Arm Band Berbasis Algoritma XGBoost dalam Deteksi Pola Abnormal Detak Jantung
Walidin, Adamsyach Prana
; Kiswanto, Dedy
; Zai, Tri Sapta Warman
; Sagala, Fafmi
; Walidin, Adamsyach Prana
; Kiswanto, Dedy
; Zai, Tri Sapta Warman
; Sagala, Fafmi
Peningkatan kasus gangguan kardiovaskular menuntut adanya sistem pemantauan detak jantung yang tidak hanya akurat, tetapi juga mampu memberikan respons cepat terhadap kondisi abnormal. Penelitian ini bertujuan mengembangkan sistem pemantauan detak jantung berbasis Internet of Things (IoT) yang terintegrasi dengan algoritma Extreme Gradient Boosting (XGBoost) untuk mendeteksi pola detak jantung abnormal secara real-time serta memicu respons otomatis melalui Miniature Medical Car. Metode penelitia...
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Sistem Informasi Penjualan Toko Dmelz Berbasis Web Menggunakan Laravel
Transformasi digital menjadi kebutuhan penting bagi usaha kecil untuk meningkatkan efisiensi dan daya saing. Toko Dmelz, sebuah usaha kuliner rumahan, awalnya masih mengandalkan sistem penjualan manual melalui media sosial, yang sering menimbulkan kesalahan pencatatan, keterlambatan proses, dan kesulitan dalam pembuatan laporan. Penelitian ini bertujuan merancang dan mengembangkan sistem informasi penjualan berbasis web untuk mengotomatisasi proses pemesanan, pengelolaan produk, dan pelaporan pe...
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Design of a Web-Based Regional Tax Document Archiving Information System
Anugrah, Roki Aula
; Friansyah, Ilham Gantar
; Waidah, Dina Fara
; Anugrah, Roki Aula
; Friansyah, Ilham Gantar
; Waidah, Dina Fara
Manajemen arsip dokumen pajak daerah memegang peranan penting dalam mendukung administrasi dan pelayanan publik di Badan Pendapatan Daerah (Bapenda). Sistem pengarsipan manual yang masih digunakan menimbulkan berbagai permasalahan, seperti risiko kehilangan dokumen, kerusakan arsip fisik, serta keterlambatan dalam proses pencarian. Penelitian ini bertujuan untuk merancang sistem informasi arsip dokumen pajak daerah berbasis web pada Bapenda Kabupaten Karimun. Pendekatan kualitatif dengan metode...
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Implementation of a Decision Support System to Improve the Objectivity of Selecting High-Aching Students Using the SAW Method at SMAS PGRI Kurnia
Akmal, Fadlan Muhammad
; Gustafi, Muhammad Fauzan
; Akmal, Fadlan Muhammad
; Gustafi, Muhammad Fauzan
Pemilihan siswa berprestasi di sekolah seringkali dilakukan secara manual dan berpotensi menimbulkan subjektivitas dalam pengambilan keputusan. Penelitian ini bertujuan untuk menerapkan Sistem Pendukung Keputusan (SPK) menggunakan metode Simple Additive Weighting (SAW) guna meningkatkan objektivitas, transparansi, dan efisiensi dalam proses seleksi siswa berprestasi. Penelitian dilakukan pada satu sekolah dengan melibatkan 20 alternatif siswa dan empat kriteria penilaian yang telah ditentukan bo...
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Development and Performance Evaluation of a Micro-Scale RDF Briquette–Fueled Steam Power Prototype
Syarifah
; Latricia Aina Hidayat
; Rini Yunita Sari
; Maratis, Jerry
; Andri Krisna Hidayat
; Pawenary
; Hendri
Plastic waste is a major environmental problem in Indonesia due to its non-biodegradable nature. One innovative solution is converting waste into energy using Refuse-Derived Fuel (RDF) briquettes for small-scale power generation. This research designed and tested an RDF-based micro power plant prototype using briquettes composed of 80% dry organic biomass and 20% plastic for safe and stable combustion. The prototype consists of a combustion chamber, heat exchanger, impulse-type micro steam turbi...
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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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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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