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ANALISIS INTERVENSI FUNGSI STEP PADA HARGA SAHAM (STUDI KASUS SAHAM PT FAST FOOD INDONESIA Tbk)

Unnes Journal of Mathematics · Vol. 5 No. 2 (2017) · hlm. 181–189

DOI
10.15294/ujm.v5i2.13131
ISSN
2460-5859, 2252-6943
Terbit
2017-02-27
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

The analysis of the intervention is analysis a time series data that is affected by events outside the control of which may result in a change in the time series. Intervention analysis is used to analyze the data time series data of known intervention time. The main objective of this research is to determine the best intervention model on price of stock data PT Fast Food Indonesia Tbk period December 2013-January 2014, so the best forecasting method can be used to predict price of stock data PT Fast Food Indonesia Tbk for the next period with the help of SAS software program. Based on the analysis of the obtained the best intervention model that is a model of ARIMA (2,4,2) with the order of b = 20, s = 5, r = 0. The model of forecasting results obtained with the model of the step function intervention shows that the value of his predictions are within the threshold interval 95% confident with the results of the Eastern 70.82, MSE amounting to 386.94, and the RMSE of 19.671. So the forecast results can be used to estimate the daily price of stock data PT Fast Food Indonesia Tbk on 23 January 2014 to 20 February 2014 post intervention due to the occurrence of a policy dividend that caused significantly decreased just around the time the intervention only.

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  • State University of Semarang
  • University of Brawijaya
  • IAIN Syekh Nurjati Cirebon
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Rekan penulisOrganisasiArtikel bersama
Sugiman SugimanAfiliasi tidak diketahui10
Kartono KartonoState University of Semarang6
Arief AgoestantoAfiliasi tidak diketahui6
Mulyono MulyonoAfiliasi tidak diketahui5
Yuninda Diah PratiwiAfiliasi tidak diketahui4
Masrukan MasrukanState University of Semarang3
Isnarto IsnartoState University of Semarang3
St. Budi WaluyaAfiliasi tidak diketahui3
Mohammad AsikinState University of Semarang3
Riza ArifudinState University of Semarang3
Zaenuri ZaenuriState University of Semarang3
YL SukestiyarnoState University of Semarang3
Wardono WardonoAfiliasi tidak diketahui3
Farida NursyahidahState University of Semarang2
Kristina WijayantiState University of Semarang2
Nurkaromah DwidayatiState University of Semarang2
Endang SetyowatiUniversity of Brawijaya2
Dwijanto DwijantoState University of Semarang2
Sugeng NugrohoAfiliasi tidak diketahui2
Kristina WijayantiAfiliasi tidak diketahui2
Raras Setya AstutiAfiliasi tidak diketahui2
Sukestiyarno SukestiyarnoAfiliasi tidak diketahui2
WardonoState University of Semarang1
Wardono WardonoState University of Semarang1
Muhamad Irwan HaqiqiAfiliasi tidak diketahui1
Agus YuliantoState University of Semarang1
Dwi Agung FitriantiAfiliasi tidak diketahui1
Yenrika Kurniati RahayuAfiliasi tidak diketahui1
Mikke Novia IndrianiAfiliasi tidak diketahui1
Onwardono Rit RiyantoIAIN Syekh Nurjati Cirebon1
Dian BayujagaAfiliasi tidak diketahui1
Sri Ady AstutiAfiliasi tidak diketahui1
Imanuel ImanuelAfiliasi tidak diketahui1
Dwi Indah Ratri RatnasariAfiliasi tidak diketahui1
Vinda KhasmarawatiAfiliasi tidak diketahui1
Feri FarkhanAfiliasi tidak diketahui1
Dedy PurnawanAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/ujm/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 6 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">ANALISIS INTERVENSI FUNGSI STEP PADA HARGA SAHAM (STUDI KASUS SAHAM PT FAST FOOD INDONESIA Tbk)</dc:title>
	<dc:creator>Sari, Ratna Novita</dc:creator>
	<dc:creator>Mariani, Scolastika</dc:creator>
	<dc:creator>Hendikawati, Putriaji</dc:creator>
	<dc:description xml:lang="en-US">The analysis of the intervention is analysis a time series data that is affected by events outside the control of which may result in a change in the time series. Intervention analysis is used to analyze the data time series data of known intervention time. The main objective of this research is to determine the best intervention model on price of stock data PT Fast Food Indonesia Tbk period December 2013-January 2014, so the best forecasting method can be used to predict price of stock data PT Fast Food Indonesia Tbk for the next period with the help of SAS software program. Based on the analysis of the obtained the best intervention model that is a model of ARIMA (2,4,2) with the order of b = 20, s = 5, r = 0. The model of forecasting results obtained with the model of the step function intervention shows that the value of his predictions are within the threshold interval 95% confident with the results of the Eastern 70.82, MSE amounting to 386.94, and the RMSE of 19.671. So the forecast results can be used to estimate the daily price of stock data PT Fast Food Indonesia Tbk on 23 January 2014 to 20 February&amp;nbsp; 2014 post intervention due to the occurrence of a policy dividend that caused significantly decreased just around the time the intervention only.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2017-02-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/ujm/article/view/13131</dc:identifier>
	<dc:identifier>10.15294/ujm.v5i2.13131</dc:identifier>
	<dc:source xml:lang="en-US">Unnes Journal of Mathematics; Vol 5 No 2 (2016); 181-189</dc:source>
	<dc:source>2460-5859</dc:source>
	<dc:source>2252-6943</dc:source>
	<dc:source>10.15294/ujm.v5i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/ujm/article/view/13131/7208</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Unnes Journal of Mathematics</dc:rights>
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