VOL 7 NO 6 (2023)
Dublin Core
Title
VOL 7 NO 6 (2023)
Contributor
Sri Wahyuni
Collection Items
Abstractive and Extractive Approaches for Summarizing Multi-document Travel Reviews
Travel reviews offer insights into users' experiences at places they have visited, including hotels, restaurants, and tourist
attractions. Reviews are a type of multi-document, where one place has several reviews from different users.…
attractions. Reviews are a type of multi-document, where one place has several reviews from different users.…
Date Fruit Classification using K-Nearest Neighbor with Principal Component Analysis and Binary Particle Swarm Optimization
Various cultivars of date fruit distributed throughout exhibit diverse complexity and unique attributes, including color, flavor,
shape, and texture. These distinctive characteristics and appearance occasionally may lack variability in date fruits,…
shape, and texture. These distinctive characteristics and appearance occasionally may lack variability in date fruits,…
The Image Extraction Using the HSV Method to Determine the Maturity Level of Palm Oil Fruit with the k-nearest Neighbor Algorithm
The oil palm is one of the monocot oil-producing plants in Indonesia. Sorting errors in oil palm fruit is caused by a sorter error
when distinguishing the color of ripe and immature oil palm fruit. In addition to inefficient time, the area of oil…
when distinguishing the color of ripe and immature oil palm fruit. In addition to inefficient time, the area of oil…
Forecasting the Magnitude Category Based on The Flores Sea Earthquake
Earthquakes are a phenomenon that is still a mystery in terms of predicting events, one of which is the magnitude. As technology
develops, there are many algorithms that can be used as approaches in earthquake forecasting. In the context of…
develops, there are many algorithms that can be used as approaches in earthquake forecasting. In the context of…
Comparison of the RFM Model's Actual Value and Score Value for Clustering
Clustering algorithms and Recency-Frequency-Monetery (RFM) models are widely implemented in various sectors of ecommerce, banking, telecommunications, and other industries to obtain customer segmentation. The RFM model will assess a
line of data…
line of data…
Comparison of Segmentation Analysis in Nucleus Detection with GLCM Features using Otsu and Polynomial Methods
Pap smear is a digital image generated from the recording of cervical cancer cell preparation. Images generated are
susceptible to errors due to the relatively small cell sizes and overlapping cell nuclei. Therefore, accurate Pap smear image…
susceptible to errors due to the relatively small cell sizes and overlapping cell nuclei. Therefore, accurate Pap smear image…
A Cost-Effective Vital Sign Monitoring System Harnessing Smartwatch for Home Care Patients
Telemedicine applications enable online health consultation services, but they have limitations: there is no vital sign
examination as in offline consultation. Furthermore, vital sign examinations for patients treated outside hospitals, such as…
examination as in offline consultation. Furthermore, vital sign examinations for patients treated outside hospitals, such as…
Artificial Neural Network Based Prediction Model Back Propagation on Blood Demand and Blood Supply
The balance between blood demand and supply at the Indonesian Red Cross Blood Transfusion Unit (UTD-PMI) is crucial.
This condition needs to be maintained to reduce unused or expired blood supplies. Despite the situation at UTD-PMI, where
the…
This condition needs to be maintained to reduce unused or expired blood supplies. Despite the situation at UTD-PMI, where
the…
Optimization of Machine Learning Classification Analysis of Malnutrition Cases in Children
Malnutrition is one of the problems that occurs in children caused by a lack of nutritional intake. Indonesia contributed 36%,
making it the fifth country with the largest cases of malnutrition in the world. Based on this, a solution is needed to…
making it the fifth country with the largest cases of malnutrition in the world. Based on this, a solution is needed to…
Feature Extraction for Improvement Text Classification of Spam YouTube Video Comment using Deep Learning
The proposed algorithms are Bidirectional Long Short Term Memory (BiLSTM) and Conditional Random Fields (CRF) with
Data Augmentation Technique (DAT). DAT integrates spam YouTube video comments into the traditional TF-IDF algorithm
and generates a…
Data Augmentation Technique (DAT). DAT integrates spam YouTube video comments into the traditional TF-IDF algorithm
and generates a…