Browse Items (29 total)
- Collection: VOL 7 NO 4 (2023)
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Application of Object Mask Detection Using the Convolution Neural Network (CNN)
The spread of Coronavirus Disease (Covid-19) is still a serious problem we are currently facing. The spread occurred very
quickly through the process of face-to-face interaction. The process of face-to-face interaction that occurs both in public…
quickly through the process of face-to-face interaction. The process of face-to-face interaction that occurs both in public…
Systematic Mapping Study: Research Opportunities on Capacity Planning
The central idea of the research is to enhance the efficiency and sustainability of data centers by implementing accurate capacity
planning, which will also improve their performance and availability. Various literature reviews have been conducted…
planning, which will also improve their performance and availability. Various literature reviews have been conducted…
Folk Games Image Captioning using Object Attention
The result of deep-learning based image captioning system with encoder-decoder framework relies heavily on image feature
extraction technique and caption-based model. The model accuracy is heavily influenced by the proposed attention mechanism.…
extraction technique and caption-based model. The model accuracy is heavily influenced by the proposed attention mechanism.…
Comparing the Performance of Data Mining Algorithms in Predicting Sentiments on Twitter
On the social networking site Twitter, users can post tweets, videos, and images. It can, however, also be disruptive and difficult.
In order to categorize material and improve searchability, hashtags are crucial. This study focuses on examining…
In order to categorize material and improve searchability, hashtags are crucial. This study focuses on examining…
Exploring Research Trends and Impact: A Bibliometric Analysis of RESTI Journal from 2018 to 2022
This study provides a comprehensive analysis of the RESTI Journal, a prominent publication in the field of systems engineering
and information technology. The analysis aims to evaluate the journal's publication output, citation impact, and overall…
and information technology. The analysis aims to evaluate the journal's publication output, citation impact, and overall…
Classification of Acute Lymphoblastic Leukemia based on White Blood Cell Images using InceptionV3 Model
Acute Lymphoblastic Leukemia (ALL) is the most prevalent form of leukemia that occurs in children. Detection of ALL through
white blood cell image analysis can assist in prognosis and appropriate treatment. In this study, the author proposes an…
white blood cell image analysis can assist in prognosis and appropriate treatment. In this study, the author proposes an…
Classification of Hearing Loss Degrees with Naive Bayes Algorithm
According to the World Health Organization (WHO), hearing loss is one of the fourth highest causes of disability. The number
of people with hearing loss continues to increase yearly. This increase occurred due to delays in recognizing the hearing…
of people with hearing loss continues to increase yearly. This increase occurred due to delays in recognizing the hearing…
Transforming LMS into KMS in Indonesia Educational Institution Case Study in Telkom University Open Library
Library is an institution that collects printed and recorded knowledge, manages it in a particular way to meet the intellectual
needs of its users through various ways of knowledge interaction. In 2021, Indonesia provided 4605 active educational…
needs of its users through various ways of knowledge interaction. In 2021, Indonesia provided 4605 active educational…
Antlion Optimizer Algorithm Modification for Initial Centroid Determination in K-means Algorithm
Clustering is a grouping of data used in data mining processing. K-means is one of the popular clustering algorithms, easy to
use and fast in clustering data. The K-means method groups data based on k distances and determines the initial centroid…
use and fast in clustering data. The K-means method groups data based on k distances and determines the initial centroid…
Analysis and Mitigation of Religion Bias in Indonesian Natural Language Processing Datasets
Previous studies have shown the existence of misrepresentation regarding various religious identities in Indonesian media.
Misrepresentations of other marginalized identities in natural language processing (NLP) datasets have been recorded to…
Misrepresentations of other marginalized identities in natural language processing (NLP) datasets have been recorded to…