PREDICTIVE ANALYTICS MENGGUNAKAN MACHINE LEARNING UNTUK MEMPREDIKSI WAKTU KETERLAMBATAN BERDASARKAN PENYEBAB KETERLAMBATAN PADA PT. KERETA API INDONESIA

PREDICTIVE ANALYTICS MENGGUNAKAN MACHINE LEARNING UNTUK MEMPREDIKSI WAKTU KETERLAMBATAN BERDASARKAN PENYEBAB KETERLAMBATAN PADA PT. KERETA API INDONESIA

Abstract - PT. Kereta Api Indonesia (KAI) is a company that regulates trains in Indonesia. Railways in Indonesia still often experience delays, especially in the Cibatu Purwakarta lane which will be the object of research in this study. This research is intended as an initial stage of applying machi...

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Main Author: Sanjaya, Christopher
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/48007
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:48007
spelling id-itb.:480072020-06-25T12:29:22ZPREDICTIVE ANALYTICS MENGGUNAKAN MACHINE LEARNING UNTUK MEMPREDIKSI WAKTU KETERLAMBATAN BERDASARKAN PENYEBAB KETERLAMBATAN PADA PT. KERETA API INDONESIA Sanjaya, Christopher Indonesia Final Project KAI, machine learning, predict the delay, cause of delay, Cibatu Purwakarta lane INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/48007 Abstract - PT. Kereta Api Indonesia (KAI) is a company that regulates trains in Indonesia. Railways in Indonesia still often experience delays, especially in the Cibatu Purwakarta lane which will be the object of research in this study. This research is intended as an initial stage of applying machine learning to overcome the problem of tardiness by providing the best model for predicting tardiness and what things are causing the tardiness pattern. Machine learning models considered are decision tree regression, support vector machine regression, random forest regression, ensemble learning, and gradient boosting regression. From the best machine learning techniques, a model will be made to predict the delay based on the cause of the delay. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Abstract - PT. Kereta Api Indonesia (KAI) is a company that regulates trains in Indonesia. Railways in Indonesia still often experience delays, especially in the Cibatu Purwakarta lane which will be the object of research in this study. This research is intended as an initial stage of applying machine learning to overcome the problem of tardiness by providing the best model for predicting tardiness and what things are causing the tardiness pattern. Machine learning models considered are decision tree regression, support vector machine regression, random forest regression, ensemble learning, and gradient boosting regression. From the best machine learning techniques, a model will be made to predict the delay based on the cause of the delay.
format Final Project
author Sanjaya, Christopher
spellingShingle Sanjaya, Christopher
PREDICTIVE ANALYTICS MENGGUNAKAN MACHINE LEARNING UNTUK MEMPREDIKSI WAKTU KETERLAMBATAN BERDASARKAN PENYEBAB KETERLAMBATAN PADA PT. KERETA API INDONESIA
author_facet Sanjaya, Christopher
author_sort Sanjaya, Christopher
title PREDICTIVE ANALYTICS MENGGUNAKAN MACHINE LEARNING UNTUK MEMPREDIKSI WAKTU KETERLAMBATAN BERDASARKAN PENYEBAB KETERLAMBATAN PADA PT. KERETA API INDONESIA
title_short PREDICTIVE ANALYTICS MENGGUNAKAN MACHINE LEARNING UNTUK MEMPREDIKSI WAKTU KETERLAMBATAN BERDASARKAN PENYEBAB KETERLAMBATAN PADA PT. KERETA API INDONESIA
title_full PREDICTIVE ANALYTICS MENGGUNAKAN MACHINE LEARNING UNTUK MEMPREDIKSI WAKTU KETERLAMBATAN BERDASARKAN PENYEBAB KETERLAMBATAN PADA PT. KERETA API INDONESIA
title_fullStr PREDICTIVE ANALYTICS MENGGUNAKAN MACHINE LEARNING UNTUK MEMPREDIKSI WAKTU KETERLAMBATAN BERDASARKAN PENYEBAB KETERLAMBATAN PADA PT. KERETA API INDONESIA
title_full_unstemmed PREDICTIVE ANALYTICS MENGGUNAKAN MACHINE LEARNING UNTUK MEMPREDIKSI WAKTU KETERLAMBATAN BERDASARKAN PENYEBAB KETERLAMBATAN PADA PT. KERETA API INDONESIA
title_sort predictive analytics menggunakan machine learning untuk memprediksi waktu keterlambatan berdasarkan penyebab keterlambatan pada pt. kereta api indonesia
url https://digilib.itb.ac.id/gdl/view/48007
_version_ 1822000001511849984

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