Devi Fitrianah
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View article: Automatic drowsiness detection system to reduce road accident risks
Automatic drowsiness detection system to reduce road accident risks Open
Drowsy driving poses a significant risk to road safety, often equated with impaired driving due to its detrimental effects on cognitive function. This study presents a real-time drowsiness detection system utilizing the YOLOv5 algorithm, e…
View article: Exploring the recurrent and sequential security patch data using deep learning approaches
Exploring the recurrent and sequential security patch data using deep learning approaches Open
The ever-changing nature of vulnerabilities and the intricacy of temporal connections make the classification of security patch data, both sequential and recurrent, a formidable challenge in cybersecurity. The goal of this research is to i…
View article: Enhancing low-light pedestrian detection: convolutional neural network and YOLOv8 integration with automated dataset
Enhancing low-light pedestrian detection: convolutional neural network and YOLOv8 integration with automated dataset Open
This research aims to enhance the you only look once (YOLO) model for pedestrian detection in environments with varying lighting conditions, particularly in low-light scenarios. The primary contribution of this work is the integration of a…
View article: Ant Colony Optimization for Jakarta Historical Tours: A Comparative Analysis of GPS and Map Image Approaches
Ant Colony Optimization for Jakarta Historical Tours: A Comparative Analysis of GPS and Map Image Approaches Open
The Traveling Salesman Problem (TSP) is a problem that represents a difficult combinatorial optimization problem starting from practical problems. The ant colony optimization (ACO) algorithm is implemented in several topics, particularly i…
View article: Optimizing seismic sequence clustering with rapid cube-based spatiotemporal approach
Optimizing seismic sequence clustering with rapid cube-based spatiotemporal approach Open
Due to their extensive volume and range of features, seismic data is regarded as highly complex data. Earthquakes that typically composed of foreshocks, mainshocks, and aftershocks, exhibit a unique sensitivity to temporal dimension, a cha…
View article: The ENSO-IOD effects on Yellowfin tuna (Thunnus albacares) in Eastern Indian Ocean - Off Coast Java
The ENSO-IOD effects on Yellowfin tuna (Thunnus albacares) in Eastern Indian Ocean - Off Coast Java Open
The eastern Indian Ocean (EIO) is influenced by two climate phenomena, the Indian Ocean Dipole (IOD) and the El-Niño Southern Oscillation (ENSO), which affect the presence and abundance of yellowfin tuna (Thunnus albacares). Monthly satell…
View article: Enhancing Customer Segmentation Insights by using RFM + Discount Proportion Model with Clustering Algorithms
Enhancing Customer Segmentation Insights by using RFM + Discount Proportion Model with Clustering Algorithms Open
In this digital era, the use of e-commerce has expanded and is widely adopted by society. One of the reasons why people use e-commerce platforms is because of their convenience and ease of use. However, the rapid growth of e-commerce has l…
View article: Implementation of the Pelagic Hotspot Index in detecting the habitat suitability area for bigeye tuna (Thunnus obesus) in the eastern Indian Ocean
Implementation of the Pelagic Hotspot Index in detecting the habitat suitability area for bigeye tuna (Thunnus obesus) in the eastern Indian Ocean Open
Istnaeni ZD, Gaol JL, Zainuddin M, Fitrianah D. 2023. Implementation of the Pelagic Hotspot Index in detecting the habitat suitability area for bigeye tuna (Thunnus obesus) in the eastern Indian Ocean. Biodiversitas 24: 5044-5056. Bigeye t…
View article: A Study on Enhanced Spatial Clustering Using Ensemble Dbscan and Umap to Map Fire Zone in Greater Jakarta, Indonesia
A Study on Enhanced Spatial Clustering Using Ensemble Dbscan and Umap to Map Fire Zone in Greater Jakarta, Indonesia Open
This research investigated ensemble clustering algorithms and dimensionality reduction for fire zone mapping, specifically DBSCAN + UMAP. We evaluated six clustering methods: DBSCAN, ensemble DBSCAN, DBSCAN + UMAP, ensemble DBSCAN + UMAP, …
View article: A Study on Enhanced Spatial Clustering Using Ensemble DBscan and UMAP to Map Fire Zone in Greater Jakarta, Indonesia
A Study on Enhanced Spatial Clustering Using Ensemble DBscan and UMAP to Map Fire Zone in Greater Jakarta, Indonesia Open
This research investigated ensemble clustering algorithms and dimensionality reduction for fire zone mapping, specifically DBSCAN + UMAP. We evaluated six clustering methods: DBSCAN, ensemble DBSCAN, DBSCAN + UMAP, ensemble DBSCAN + UMAP, …
View article: The Data Analysis of Determining Potential Flood-Prone Areas in DKI Jakarta Using Classification Model Approach
The Data Analysis of Determining Potential Flood-Prone Areas in DKI Jakarta Using Classification Model Approach Open
The study aims to analyze the flood data in the five Jakarta areas. The focus is to determine areas that are potentially prone to flooding. Currently, there is no identification of potential flood areas in Jakarta based on actual parameter…
View article: 3D Modelling Building of District Johar Baru Using ArcGIS Pro and CityEngine
3D Modelling Building of District Johar Baru Using ArcGIS Pro and CityEngine Open
Various image-based approaches are currently available for 3 Dimensional (3D) modelling. Among them, two main geomatics techniques are photogrammetry and laser scanning. Owing to the limited availability of photographs to the general popul…
View article: Building 3D Object Model for Tourism in Monas using CityEngine
Building 3D Object Model for Tourism in Monas using CityEngine Open
A prominent monument in DKI Jakarta is the Monument Nasional (abbreviated as Monas). This moniker serves as both a symbol for the city of Jakarta and a representation of the people of Jakarta and Indonesia. Apart from being a monument, Mon…
View article: Optimization of economic dispatch using quantum class topper optimization method
Optimization of economic dispatch using quantum class topper optimization method Open
Economic dispatch optimization is an optimization of power system generators which aims to minimize costs by determining the power produced in accordance with electricity requirements and system capacity. Previous research has proposed sev…
View article: Identifying Factors for Supporting Early Warning Flood using Clustering Approach And Geo-Spatial Analysis
Identifying Factors for Supporting Early Warning Flood using Clustering Approach And Geo-Spatial Analysis Open
Floods in Jakarta are very frequent and caused by many factors, from very high rainfall to flash floods. This natural disaster has greatly impact the society, from economy to health problems. In this research, we used ArcGIS Pro with unsup…
View article: Text classification to predict skin concerns over skincare using bidirectional mechanism in long short-term memory
Text classification to predict skin concerns over skincare using bidirectional mechanism in long short-term memory Open
There are numerous types of skincare, each with its own set of benefits based on key ingredients. This may be difficult for beginners who are purchasing skincare for the first time due to a lack of knowledge about skincare and their own sk…
View article: Text classification to predict skin concerns over skincare using bidirectional mechanism in long short-term memory
Text classification to predict skin concerns over skincare using bidirectional mechanism in long short-term memory Open
There are numerous types of skincare, each with its own set of benefits based on key ingredients. This may be difficult for beginners who are purchasing skincare for the first time due to a lack of knowledge about skincare and their own sk…
View article: Improved partitioning technique for density cube-based spatio-temporal clustering method
Improved partitioning technique for density cube-based spatio-temporal clustering method Open
This work proposes a novel partitioning technique on the density-cube-based data model for the Spatio-temporal clustering method. This work further adapts this clustering approach to Spatio-temporal data. We have compared the IMSTAGRID-the…
View article: Extractive text summarization for scientific journal articles using long short-term memory and gated recurrent units
Extractive text summarization for scientific journal articles using long short-term memory and gated recurrent units Open
Along with the increasing number of scientific publications, many scientific communities must read the entire text to get the essence of information from a journal article. This will be quite inconvenient if the scientific journal article …
View article: Penerapan Fuzzy Sugeno Orde Satu dalam Prediksi Pembelian
Penerapan Fuzzy Sugeno Orde Satu dalam Prediksi Pembelian Open
Given the rapid advancement of information technology has a great influence in the fields of industry and services. This brings changes in competition between companies, so that company players must always create various techniques to surv…
View article: COMPARATIVE STUDY OF FUZZY C-MEANS AND K-MEANS ALGORITHM FOR GROUPING CUSTOMER POTENTIAL IN BRAND LIMBACK
COMPARATIVE STUDY OF FUZZY C-MEANS AND K-MEANS ALGORITHM FOR GROUPING CUSTOMER POTENTIAL IN BRAND LIMBACK Open
The customer is a stakeholder for a business, to maintain and increase customer enthusiasm and develop it for the company's performance, it is necessary to do customer segmentation which aims to find out potential customers. This study use…
View article: A non-negative matrix factorization based clustering to identify potential tuna fishing zones
A non-negative matrix factorization based clustering to identify potential tuna fishing zones Open
Many nonnegative matrix factorization based clusterings are employed in discovering pattern and knowledge. Considering the sparseness nature of our data set about the daily tuna fishing data, we attempted to utilize a clustering approach, …
View article: Analysis of Consumer Purchase Patterns on Handphone Accessories Sales Using FP-Growth Algorithm
Analysis of Consumer Purchase Patterns on Handphone Accessories Sales Using FP-Growth Algorithm Open
This study aims to discover association patterns from customers' purchase, these patterns later on known as reference for the store to supply goods.Mapongs store is one of the online shops that is developing quite rapidly, however, Mapongs…
View article: Penerapan Metode Regresi Linear Untuk Prediksi Penjualan Properti pada PT XYZ
Penerapan Metode Regresi Linear Untuk Prediksi Penjualan Properti pada PT XYZ Open
The purpose of this research is to obtain property sales predictions based on property sales data at PT XYZ. Linear regression is used as a prediction method with the quantity or number of properties sold as an effect variable and the peri…
View article: Implementation of deep neural networks (DNN) with batch normalization for batik pattern recognition
Implementation of deep neural networks (DNN) with batch normalization for batik pattern recognition Open
One of the most famous cultural heritages in Indonesia is batik. Batik is a specially made drawing cloth by writing Malam (wax) on the cloth, then processed in a certain way. The diversity of motifs both in Indonesia and the allied countri…
View article: A Data Mining Approach For Product Promotion and Inventory Solution using FP-Growth Algorithm
A Data Mining Approach For Product Promotion and Inventory Solution using FP-Growth Algorithm Open
This study aims to find interesting patterns on the database transaction so that it can be used as a recommendation sales promotion and inventory product.Companies have difficulty finding interesting transaction patterns in large databases…
View article: The Comparative Study on Clustering Method Using Hospital Facility Data in Jakarta District and Surrounding Areas
The Comparative Study on Clustering Method Using Hospital Facility Data in Jakarta District and Surrounding Areas Open
The present study reports the findings of a comparative analysis conducted on health facility research (HFR) data, based on a clustering method with K-Means and K-Medoids algorithm.The K-Means algorithm consist of four steps: specifyng the…