Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika
Perkasa, Mochamad Althaf Pramasetya
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika

 1 
Perbandingan Skor Prediksi dalam Pembelajaran Mesin pada Keselamatan Penumpang Kapal: Comparison of Prediction Scores in Machine Learning on Ship Passenger Safety Perkasa, Mochamad Althaf Pramasetya; Rahmatulloh, Alam
Jurnal Mahasiswa Teknik Informatika Vol. 3 No. 1 (2024): Jurnal Jamastika Vol.3 No.1 April 2024
Publisher : Universitas Ngudi Waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35473/jamastika.v3i1.2739

Abstract

Passenger safety is an important aspect of the shipping industry, and precise predictions of emergencies and safety situations can provide great advantages in managing risks at sea. Precise prediction of emergency and safety situations can provide great advantages in managing risks at sea. This research involves collecting and analyzing historical data on ship accident incidents and their influencing factors. Machine learning methods, such as logistic regression, KNN, Naïve Bayes Classifier, Decision Tree, Random Forest, etc. will be used to identify patterns in the data that can be used to predict ship passenger safety. The data used in this study includes variables such as weather, ship state, number of passengers, and other relevant factors. The research data was taken from titanic passengers. The results of this study resulted in a model that is suitable for predicting the safety of ship passengers, namely the random forest model and decision tree getting the highest score compared to other models, the prediction score is 84.29%.
Co-Authors Alam Rahmatulloh