Prediksi Pendapatan Sewa Dengan Data Mining Pada Perusahaan XYZ

XYZ Company has a program to predict leasing income that only predict in constant condition where every tenant assumed for leasing renewal. This research is done to build accurate income prediction system that accommodate in making strategic decision towards the company. Premier data collecting is t...

Full description

Bibliographic Details
Main Authors: May Liana, Christine Sanjaya, Agus Widodo, Marshall Martinus
Format: Article
Language:English
Published: Bina Nusantara University 2010-12-01
Series:ComTech
Subjects:
Online Access:https://journal.binus.ac.id/index.php/comtech/article/view/2344
id doaj-899f7564e44f4d8e99fe567e5cef8da2
record_format Article
spelling doaj-899f7564e44f4d8e99fe567e5cef8da22020-11-25T03:52:54ZengBina Nusantara UniversityComTech2087-12442476-907X2010-12-011224525710.21512/comtech.v1i2.23441759Prediksi Pendapatan Sewa Dengan Data Mining Pada Perusahaan XYZMay Liana0Christine Sanjaya1Agus Widodo2Marshall Martinus3Bina Nusantara UniversityBina Nusantara UniversityBina Nusantara UniversityBina Nusantara UniversityXYZ Company has a program to predict leasing income that only predict in constant condition where every tenant assumed for leasing renewal. This research is done to build accurate income prediction system that accommodate in making strategic decision towards the company. Premier data collecting is through direct interview with the company management. The analysis is through data training from the previous years to build neural network model. The analysis result shows that this model has produced error total value that is smaller than the previous error total value in years before. Therefore, it could be concluded that data mining with neural network technique that produced more accurate leasing income that could help the company making decision based on the hidden information in the database.https://journal.binus.ac.id/index.php/comtech/article/view/2344leasing income prediction, data mining, neural network, backpropagation, Levenberg Marguardt, CRISP-DM.
collection DOAJ
language English
format Article
sources DOAJ
author May Liana
Christine Sanjaya
Agus Widodo
Marshall Martinus
spellingShingle May Liana
Christine Sanjaya
Agus Widodo
Marshall Martinus
Prediksi Pendapatan Sewa Dengan Data Mining Pada Perusahaan XYZ
ComTech
leasing income prediction, data mining, neural network, backpropagation, Levenberg Marguardt, CRISP-DM.
author_facet May Liana
Christine Sanjaya
Agus Widodo
Marshall Martinus
author_sort May Liana
title Prediksi Pendapatan Sewa Dengan Data Mining Pada Perusahaan XYZ
title_short Prediksi Pendapatan Sewa Dengan Data Mining Pada Perusahaan XYZ
title_full Prediksi Pendapatan Sewa Dengan Data Mining Pada Perusahaan XYZ
title_fullStr Prediksi Pendapatan Sewa Dengan Data Mining Pada Perusahaan XYZ
title_full_unstemmed Prediksi Pendapatan Sewa Dengan Data Mining Pada Perusahaan XYZ
title_sort prediksi pendapatan sewa dengan data mining pada perusahaan xyz
publisher Bina Nusantara University
series ComTech
issn 2087-1244
2476-907X
publishDate 2010-12-01
description XYZ Company has a program to predict leasing income that only predict in constant condition where every tenant assumed for leasing renewal. This research is done to build accurate income prediction system that accommodate in making strategic decision towards the company. Premier data collecting is through direct interview with the company management. The analysis is through data training from the previous years to build neural network model. The analysis result shows that this model has produced error total value that is smaller than the previous error total value in years before. Therefore, it could be concluded that data mining with neural network technique that produced more accurate leasing income that could help the company making decision based on the hidden information in the database.
topic leasing income prediction, data mining, neural network, backpropagation, Levenberg Marguardt, CRISP-DM.
url https://journal.binus.ac.id/index.php/comtech/article/view/2344
work_keys_str_mv AT mayliana prediksipendapatansewadengandataminingpadaperusahaanxyz
AT christinesanjaya prediksipendapatansewadengandataminingpadaperusahaanxyz
AT aguswidodo prediksipendapatansewadengandataminingpadaperusahaanxyz
AT marshallmartinus prediksipendapatansewadengandataminingpadaperusahaanxyz
_version_ 1724480239722037248