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Menampilkan 331–340 dari 3718 artikel
Toward a Modular, Low-Latency Architecture with BERT-based Big Media Data Analysis
Widyawan, Widyawan
; Universitas Gadjah Mada
; Murti, Handoko Wisnu
; Semesta Data Digital
; Putra, Guntur Dharma
; Universitas Gadjah Mada
; Nurmanto, Eddy
; Semesta Data Digital
; Affandi, Achmad
; Institut Teknologi Sepuluh Nopember
Telematika
Vol 18
, No 2
(2025)
The significant growth of digital and social media platforms has introduced massive streams of unstructured media data. However, current big data approaches are not specifically tailored to the high volume and velocity of media data, which consists of unstructured and lengthy full-text messages. This study proposes a modular and stream-oriented big data architecture for media data. The proposed architecture consists of data crawlers, a message broker, machine learning modules, persistent storage...
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Web-Based Sales Management Information System for PT. Sinarta Karya Papua Using Rapid Application Development
Haloho, Haloho
; Kiswanto, Rahmat Haryadi
; Lahallo, Jim
; Haloho, Jayando
; Kiswanto, Rahmat Haryadi
; Lahallo, Jim
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2025)
PT. Sinarta Karya Papua, a medium-scale enterprise in Eastern Indonesia, faces operational challenges due to its reliance on manual sales recording systems, leading to data duplication, delayed reporting, and limited information transparency. This hinders operational efficiency and strategic decision-making. This study aims to develop a web-based sales management information system addressing these issues using the Rapid Application Development (RAD) methodology, selected for its rapid prototypi...
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Numerical Investigation of Consolidation Settlement for Runway Construction on Soft Soil: A Case Study in Sumbawa, Indonesia
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Runway construction on soft soil presents significant engineering challenges due to excessive settlement, which can affect structural stability and long-term performance of transportation infrastructure. This study investigates the settlement of a runway in Sumbawa, Indonesia using the Finite Element Method (FEM) in Plaxis 2D. The Hardening Soil Model was applied to realistically capture nonlinear soil behavior. Input parameters were derived from a series of N-SPT data and laboratory test result...
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2 Sitasi
Fuzzy Logic-Based Clustering of Teacher Digital Pedagogy Using Cybergogy Framework for Sustainable Educational Innovation
Waryanto, Nur Hadi
; Retnawati, Heri
; Setyaningrum, Wahyu
; Insani, Nur
; Hery Murtianto, Yanuar
; Caturiyati, Caturiyati
; RR Rianto, Vivi
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Rapid changes in educational technology necessitate innovative approaches to sustainable teacher development. However, implementing learning technologies like Cybergogy faces significant challenges due to imbalances in digital pedagogy competencies and motivation among secondary school mathematics teachers. This study aims to cluster mathematics teachers' profiles based on the Cybergogy model's application using the Fuzzy C-Means (FCM) algorithm. The study involved 88 mathematics teachers from v...
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Scenario-Based Dynamic Modeling for Urban Settlement Management
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The growth of residential areas in peri-urban regions of metropolitan areas such as Jabodetabek demonstrates high complexity due to the dynamic interaction between population growth, land use, and environmental degradation. This study aims to develop a dynamic system-based simulation model using a scenario approach to analyze sustainable residential area management policies. The scenarios were developed consists of no intervention, pessimistic, moderate, and optimistic based on parameters such a...
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Computational Assessment of Orthopedic Implant Durability Using Finite Element Analysis
Haryanto, Ismoyo
; Bagastomo, Riondityo Soni
; Ismail, Rifky
; Siregar, Januar Parlaungan
; Cionita, Tezara
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Finite Element Analysis (FEA) provides a rapid and cost-effective method to evaluate orthopedic implants. This research investigates the mechanical performance and long-term durability of a seven-hole SS 316L Basic Fragment Set (BFS) reconstruction plate designed for pelvic fractures. Adhering to ASTM standards, material properties were defined via tensile testing (ASTM E8), while static and fatigue analyses were performed using a displacement control method in a four-point bending test setup in...
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Assessing the Feasibility of Small-Scale RDF Technology in Urban Solid Waste Management Using Cost-Benefit Analysis
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The development of Waste Processing Facilities based on the 3R principles (TPS 3R) with small-scale Refuse Derived Fuel (RDF) technology in Jakarta aims to support waste sorting, composting, reuse, and recycling activities, with locations strategically placed as close as possible to service areas. However, its implementation faces significant challenges, particularly due to high initial investment and operational costs. This study evaluates the feasibility of four TPS 3R facilities using a Cost-...
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1 Sitasi
Artificial Neural Network-Based Forecasting of Rice Yield Using Environmental and Agricultural Data
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
This study presents a high-accuracy predictive model for rice production in Indonesia using Artificial Neural Networks (ANN), achieving an R² of 98.11%, Mean Absolute Error (MAE) of 0.0966, and Mean Squared Error (MSE) of 0.0189. Climate variability remains a significant challenge to rice cultivation in regions like Malang City, where unpredictable environmental factors such as rainfall, temperature, and humidity hinder effective crop planning and yield estimation. To address this, we developed...
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1 Sitasi
Evaluating the Role of Extractives in Biomass Pyrolysis for Enhanced Hydrogen Syngas Production
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
This study explores how extractive content in lignocellulosic biomass affects syngas quality during fixed-bed pyrolysis-gasification, specifically focusing on hydrogen (H₂) concentration. While woody biomass is a known energy source, the link between its non-structural organic compounds (extractives) and H₂ in syngas is often overlooked. We investigated teak, coconut, and jackfruit wood to understand this influence and optimize temperature for better biomass-to-hydrogen conversion. An MQ-8 senso...
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An Artificial Neural Network Approach for Predicting Pavement Distress: A Case Study Toward Sustainable Road Maintenance
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The Surface Distress Index (SDI) is a crucial parameter to consider when determining road conditions as part of an effective maintenance strategy. This study aims to develop an SDI prediction model using road surface distress data to enhance maintenance planning. The developed Artificial Neural Network (ANN) model resulted in an optimal structure with two hidden layers comprising 6 neurons and 4 neurons, respectively. The model was trained using two years of surface distress data collected from...
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