Vol 7 No 2 (2023)

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Title

Vol 7 No 2 (2023)

Collection Items

Image Transformation With Lung Image Thresholding <br /><br />
and Segmentation Method
Image transformation is important to obtain and find certain information about an image that was not previously known, such
as pixels, geometry, size, and color. Following this, this research aims to analyze image transformation in producing better…

Implementation of Naïve bayes Method for Predictor Prevalence Level for <br /><br />
Malnutrition Toddlers in Magelang City
Nutritional status is an important factor in assessing the growth and development rate of babies and toddlers. Cases of
malnutrition are increasing, especially in magelang city. Because nutritional problems (Malnutrition) can affect the health of…

Integration of Microscopic Image Capturing System for Automatic <br /><br />
Detection of Mycobacterium Tuberculosis Bacteria
he Ministry of Health of the Republic of Indonesia is running a program to eliminate Tuberculosis (TB) by 2030.
At the Primary Health Care level, AFB (acid-fast bacteria) examination confirms the TB diagnosis. In this process,
the patient's…

Comparative Analysis of Forensic Software on Android-based MiChat <br /><br />
using ACPO and DFRWS Framework
Instant Messaging (IM) is a popular and widely used communication application. MiChat is a multi-platform instant chat
service with several features that can attract various segments of the population to use it as a tool for committing cybercrimes.…

ResNet101 Model Performance Enhancement in Classifying Rice Diseases <br /><br />
with Leaf Images
Indonesia is the fourth biggest rice producer in Asia with its production accounting for 35.4 million metric tons yearly. This
figure can increase unless rice crop failure is resolved. Identifying rice diseases, however, may serve as an approach to…

Industry 4.0 Maturity Models to Support Smart Manufacturing <br /><br />
Transformation: A Systematic Literature Review
With increasing pressure to revitalize manufacturing industries with Smart Manufacturing capability within the Industry 4.0
(I4.0) context, companies have uneven readiness reflecting their gaps and barriers for transforming to the I4.0 state.…
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