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Menampilkan 1–10 dari 130 artikel
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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Overview of Public Safety Center (PSC) 119 Call Patterns in Semarang City in 2024 as a Basis for Strengthening the Emergency Response System
Ramadhani, Salma Aulia
; Febriyanti, Anisya Ayu
; Agung Nugroho, Muhammad Farhan
; Tunggal Djaja, Melinda Valerie
; Nurhayati Loleh, Jevita Sri
; Wulandari, Respati
; Zaini, Ahmad
; Wardana, Wisnu
; Anggraini, Ira
; Handayani, Rustiyana Wuri
VISIKES
Vol 25
, No 1
(2026)
The Public Safety Center (PSC) 119 service is an integrated emergency medical system that plays a crucial role in Indonesia's pre-hospital healthcare system. The demand pattern for PSC-119 services can be influenced by various factors, including weather conditions and community mobility. In Semarang City, no research has described the weekly trends of PSC-119 calls based on case types and their relationship with weather parameters. This study aims to describe the weekly trend patterns of PSC-119...
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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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Stratification and Charging Efficiency in Compact Thermal Storage Under Variable Flow Conditions: An AI-Assisted Simulation Study
Simanjuntak, Janter P.
; Daryanto, Eka
; Tambunan, Bisrul Hapis
; Silaban, Robert
; Sinaga, Denny Haryanto
; Zainon, Mohd Zamri
; Muhammad Ibrahim
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
Thermal Energy Storage (TES) systems are essential for managing low-grade heat in renewable energy applications. This study evaluates the impact of flow rate and heating power on thermal stratification and efficiency within a 30-liter TES unit. Using an AI-assisted simulation framework, the system's performance was analyzed across varying flow rates (0.3–0.9 LPM) and heater capacities (1.5–2.0 kW). Results indicate that lower flow rates (0.3–1.2 LPM) effectively preserve stratification, whereas...
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Pengaruh Review TikTok Food Vlogger terhadap Keputusan Pembelian Kuliner Kekinian di Kalangan Gen Z
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
The purpose of this study is to examine how food vlogger reviews on the social media platform TikTok influence Generation Z's decisions to purchase modern foods. The development of this platform as a short video platform has changed digital marketing patterns, particularly in the culinary industry, which is highly dependent on visual appeal and customer recommendations. Consumer perceptions and responses to culinary review content were studied using descriptive qualitative methods in this resear...
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Strategi Bertahan UMKM Kue di Tengah Persaingan Kuliner Modern
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
The rapid growth of the modern culinary industry has created intense competition for Micro, Small, and Medium Enterprises (MSMEs), particularly traditional and home-based cake businesses. This situation requires cake MSMEs to adopt appropriate strategies in order to sustain their businesses. This study aims to analyze the survival strategies implemented by cake MSMEs amid modern culinary competition. The research employs a qualitative approach with a descriptive design. Data were collected throu...
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Importance–Performance Analysis of Bus Rapid Transit Service Attributes for Passenger Satisfaction and Sustainability
Hermawati, Putu
; Hj. Zainordin, Nadzirah
; Wei Eng, Thung
; Oktaviani Putri, A. A. Ayu Asta
; Sutapa, I Ketut
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
The Bus Rapid Transit (BRT) system in Bali serves as a vital component of sustainable urban mobility. This study uniquely integrates Importance-Performance Analysis (IPA) with technical recommendations to provide a comprehensive evaluation of BRT performance and its contribution to sustainable transportation. The analysis identifies key service strengths—such as seating comfort, air conditioning, cleanliness, and personnel service quality—that exceed passenger expectations. Conversely, deficienc...
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Rancang Bangun Antena Mikrostrip Patch Triangular Pada Frekuensi 1800 Mhz Sebagai Penguat Jaringan Internet Di Kebun Raya Balikpapan
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
Penelitian ini bertujuan untuk merancang dan merealisasikan antena mikrostrip patch berbentuk segitiga (triangular) yang bekerja pada frekuensi 1800 MHz, sebagai penguat jaringan internet di kawasan Kebun Raya Balikpapan. Lokasi tersebut diketahui memiliki kualitas sinyal yang kurang baik untuk beberapa provider. Antena yang dirancang menggunakan dua konfigurasi, yaitu MIMO 8x8 dengan teknik pencatuan langsung dan array 8x1, yang kemudian disimulasikan menggunakan CST Studio Suite 2019 dan diuji...
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Studi Perbandingan Kepuasan Pelanggan pada Kedai Kopi Berdasarkan Ulasan Online dengan Pendekatan Analisis Sentimen Berbasis Aspek dan Pemodelan Topik Hybrid
Journal of Informatics Education
Vol 8
, No 2
(2025)
Penelitian ini bertujuan untuk menganalisis dan membandingkan tingkat kepuasan pelanggan di warung kopi di Makassar, Indonesia, berdasarkan ulasan online menggunakan Analisis Sentimen Berbasis Aspek Hybrid (ABSA) yang terintegrasi dengan Pemodelan Topik (LDA). Penelitian ini menggabungkan ekstraksi topik tak terawasi dan klasifikasi sentimen yang diawasi untuk mengidentifikasi aspek utama yang memengaruhi kepuasan pelanggan serta mengukur polaritas sentimennya. Sebanyak 1.315 ulasan online dari...
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Benchmarking Graphics Rendering Capabilities: Java Processing vs. P5.js
Firdaus, Muhammad Bambang
; Darma, Adi Surya
; Arifin, Zainal
; Anam, M. Khairul
; Halim, Muhammad Yusuf
; Yunianta, Arda
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2025)
Rendering efficiency is a critical factor in cross-platform animation development. This study benchmarks the performance of Java Processing and P5.js by measuring frame rates and frame counts across six heterogeneous computing devices for 2D and 3D animation tasks. Each benchmark was executed under standardized conditions for 60 seconds, and performance data were collected at fixed intervals. Results indicate that Java Processing consistently achieves higher rendering efficiency, with up to 313%...
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