scholarly journals Penerapan Decision Tree untuk Prediksi Kepuasan Pengguna Bus Transjakarta

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Reza Hikmatulloh ◽  
Hanna Mahaerani Putri ◽  
Qurrotul Aini
Keyword(s):  
Decision Tree ◽  
Public Transportation ◽  
User Satisfaction ◽  
Confusion Matrix ◽  
Capital City ◽  
The Public ◽  
Good Classification ◽  
C4.5 Decision Tree ◽  
Decision Tree Method ◽  
Tree Method

Transjakarta buses are one of the public transportation facilities used by residents of the capital city of Jakarta. The existence of Transjakarta Buses, transportation access is easier and easier for its users. With so many users, there are several things that must be considered in the facilities and infrastructure provided by the Transjakarta Bus. User satisfaction is an assessment given by a user of a service, whether satisfied or not. This research was conducted to analyze the satisfaction of Transjakarta Bus users who are students of Syarif Hidayatullah State Islamic University Jakarta. The attributes to be taken in the study include the rates, facilities, and services provided by the Transjakarta Bus where the questionnaire results will be processed using the C4.5 Decision Tree method. The results showed that an accuracy of 92.86% was obtained with accuracy in Good Classification using Confusion Matrix.

scholarly journals Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis Fauna

Infotekmesin ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 150-154
Author(s):  
Yunita Ardilla ◽  
Wilda Imama Sabilla ◽  
Nurissaidah Ulinnuha
Keyword(s):  
Decision Tree ◽  
Ant Colony Optimization ◽  
Time Series Data ◽  
Image Data ◽  
Ant Colony ◽  
Series Data ◽  
C4.5 Decision Tree ◽  
Decision Tree Method ◽  
Time Required ◽  
Tree Method

Classification is a field of data mining that has many methods, one of them is decision tree. Decision tree is proven to be able to classify many kinds of data such as image data and time series data. However, there are several obstacles that are often encountered in the decision tree method. Running time required for the execution of this algorithm is quite long, so this study proposed to use the ant tree miner algorithm which is a development algorithm from the C4.5 decision tree. Ant tree miner works by utilizing ant colony optimization in the process of building its tree structure. Use ant colony optimization expected can optimize the tree that will be formed. From the testing that have been carried out, an accuracy of about 95% is obtained in the process of classifying Zoo dataset with the number of ants between 60 - 90.

The Water Conservancy Water Electricity Construction Engineering Professional Result Analysis of Application Base on C4.5 Algorithm

2014 ◽  
Vol 926-930 ◽  
pp. 703-707
Author(s):  
Hu Yong
Keyword(s):  
Decision Tree ◽  
Decision Tree Algorithm ◽  
Construction Engineering ◽  
Improvement Algorithm ◽  
C4.5 Algorithm ◽  
C4.5 Decision Tree ◽  
Selection Decision ◽  
Decision Tree Method ◽  
Result Analysis ◽  
Tree Method

Aimed at the student the result problem, give student the result data scoops out the model. The decision tree method is a very valid classification method, in the data that scoop out. According to student the result data characteristics, adopted the C4.5 decision tree algorithm. C4.5 algorithm is the improvement algorithm of the decision trees core algorithm ID3, it construct in brief, the speed compare quickly, easy realization. Selection decision belongs to sex, scoop out the result enunciation, that algorithm can be right to get student the result data classification, and some worthy conclusion, provide the decision the analysis.

scholarly journals Decision Tree Method for Fault Causes Classification Based on RMS-DWT Analysis in 275 kV Transmission Lines Network

2021 ◽  
Vol 11 (9) ◽  
pp. 4031
Author(s):  
Saidatul Habsah Asman ◽  
Nur Fadilah Ab Aziz ◽  
Ungku Anisa Ungku Amirulddin ◽  
Mohd Zainal Abidin Ab Kadir
Keyword(s):  
Decision Tree ◽  
Transmission Lines ◽  
Power Transmission ◽  
Confusion Matrix ◽  
Fault Analysis ◽  
Operating Conditions ◽  
Discrete Wavelet ◽  
Voltage Dip ◽  
Decision Tree Method ◽  
Tree Method

This paper presents a statistical algorithm for classification of fault causes on power transmission lines. The proposed algorithm is based upon the root mean square (RMS) current duration, voltage dip, and discrete wavelet transform (DWT) measured at the sending end of a line and the decision tree method, a commonly accessible measurable method. Fault duration of RMS current signal, voltage dip, and DWT gives concealed data of a fault signature as a contribution to decision tree calculation which is utilized to classify various fault causes. The proposed method was carried out in the MATLAB/SIMULINK programming platform based upon the information made with the fault analysis of the 275 kV sample transmission line considering wide variations in the operating conditions. The classifier performance of different parameters was also compared in a confusion matrix form to obtain the best classification results of the decision tree.

Rancang Bangun Aplikasi Sistem Pakar untuk Menangani Masalah Kecantikan pada Wajah Menggunakan Metode Decision Tree

2014 ◽  
Vol 6 (1) ◽  
pp. 9-14
Author(s):  
Stefanie Sirapanji ◽  
Seng Hansun
Keyword(s):  
Decision Tree ◽  
Uneven Distribution ◽  
Dry Skin ◽  
Average Accuracy ◽  
Accuracy Level ◽  
Index Terms ◽  
Decision Tree Method ◽  
Tree Method

Beauty is a precious asset for everyone. Everyone wants to have a healthy face. Unfortunately, there are always those problems that pops out on its own. For example, acnes, freckles, wrinkles, dull, oily and dry skin. Therefore, nowadays, there are a lot of beauty clinics available to help those who wants to solve their beauty troubles. But, not everyone can enjoy the facilities of those beauty clinics, for example those in the suburbs. The uneven distribution of doctors and the expensive cost of treatments are some of the reasons. In this research, the system that could help the patients to find the solution of their beauty problems is built. The decision tree method is used to take decision based on the shown schematic. Based on the system’s experiment, the average accuracy level hits 100%. Index Terms–Acnes, Decision Tree, Dry Skin, Dull, Facial Problems, Freckles, Wrinkles, Oily Skin, Eexpert System.

Marketing Model Investigation of Cable Television Service Based on BP Neural Network and Decision Tree

2013 ◽  
Vol 774-776 ◽  
pp. 1757-1761
Author(s):  
Bing Xiang Liu ◽  
Xu Dong Wu ◽  
Ying Xi Li ◽  
Xie Wei Wang
Keyword(s):  
Neural Network ◽  
Decision Tree ◽  
Bp Neural Network ◽  
Cable Television ◽  
Model Building ◽  
Television System ◽  
Marketing Model ◽  
Television Service ◽  
Decision Tree Method ◽  
Tree Method

This paper takes more than four hundred records of some cable television system for example, makes data mining according to users data record, uses BP neural network and decision tree method respectively to have model building and finds the best model fits for users to order press service. The results of the experiment validate the methods feasibility and validity.

Data Mining for ERW Welded Tube Scheduling Rules Based on Decision Tree

2011 ◽  
Vol 403-408 ◽  
pp. 1804-1807
Author(s):  
Ning Zhao ◽  
Shao Hua Dong ◽  
Qing Tian
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Arc Welding ◽  
Data Cleaning ◽  
Data Extraction ◽  
Electric Arc ◽  
Welded Tube ◽  
Electric Arc Welding ◽  
Decision Tree Method ◽  
Tree Method

In order to optimize electric- arc welding （ERW） welded tube scheduling , the paper introduces data cleaning, data extraction and transformation in detail and defines the datasets of sample attribute, which is based on analysis of production process of ERW welded tube. Furthermore, Decision-Tree method is adopted to achieve data mining and summarize scheduling rules which are validated by an example.

Sign in / Sign up

Export Citation Format

Share Document