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Analisis Faktor Indeks Harga Konsumen (IHK) Menurut Kelompok Pengeluaran yang Mempengaruhi Laju Inflasi Provinsi Lampung Tahun 2020

Indonesian Journal of Applied Mathematics · Vol. 2 No. 2 (2023)

DOI
10.35472/indojam.v2i2.1028
ISSN
2774-2016, 2774-2067
Terbit
2023-01-28
Penerbit
Institut Teknologi Sumatra

Abstrak

The Consumer Price Index (CPI) is used as the basis for calculating regional inflation rates. The balance of the CPI variable by Expenditure Group (CPI-EG) needs to be considered so that it does not have a major impact on the inflation rate. The purpose of this study is to determine the CPI-EG variable that affects the inflation rate in Lampung Province using the factor analysis method through the extraction technique of Principal Component Analysis. Factor analysis aims to reduce the CPI-EG variable into a factor with a smaller number. Based on the result of factor analysis there are 3 CPI-EG variables that were reduced because they did not meet the feasibility test and 8 CPI-EG variables that could be analyzed further. These variables form 1 factor which is named the Community Supporting Needs Factor. These factors can explain 79,304% of the total variance. Of the 8 CPI-EG variables, the Health Variable is the most dominant effect on the inflation rate in Lampung Province with a strong correlation of 0,980. This inflation rate is due to public health needs due to the increase in Covid-19 cases in Lampung Province in 2020.

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20 penulis · 84 tautan kepenulisan bersama · 29 lintas organisasi

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  • Sumatera Institute of Technology
  • Bandung Institute of Technology
  • State University of Semarang
  • Lampung University
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Dear Michiko Mutiara NoorSumatera Institute of Technology2
Nela RizkaSumatera Institute of Technology2
Rifky FauziSumatera Institute of Technology2
Anisa RahmadaniSumatera Institute of Technology1
Akhdan Aziz GhoziSumatera Institute of Technology1
Ahmad Dzaki Putra DimasSumatera Institute of Technology1
Zunanik MufidahSumatera Institute of Technology1
Sri HaryaniState University of Semarang1
Utriweni MukhaiyarBandung Institute of Technology1
Riani UtamiBandung Institute of Technology1
Gres MarettaSumatera Institute of Technology1
Edy SoewonoBandung Institute of Technology1
Saefudin SaefudinAfiliasi tidak diketahui1
Amalia StyaningrumAfiliasi tidak diketahui1
Rifky FauziSumatera Institute of Technology1
SH Yoga AndriyantoSumatera Institute of Technology1
Aswan Anggun PribadiSumatera Institute of Technology1
Ciptaning Weargo JatiLampung University1

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Sumber metadata: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2774-2016/works, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata sebagai oai_dc, dikonversi dari Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Analisis Faktor Indeks Harga Konsumen (IHK) Menurut Kelompok Pengeluaran yang Mempengaruhi Laju Inflasi Provinsi Lampung Tahun 2020</dc:title><dc:creator>Aprianti, Ayu</dc:creator><dc:creator>Edriani, Tiara Shofi</dc:creator><dc:description>&lt;jats:p&gt;The Consumer Price Index (CPI) is used as the basis for calculating regional inflation rates. The balance of the CPI variable by Expenditure Group (CPI-EG) needs to be considered so that it does not have a major impact on the inflation rate. The purpose of this study is to determine the CPI-EG variable that affects the inflation rate in Lampung Province using the factor analysis method through the extraction technique of Principal Component Analysis. Factor analysis aims to reduce the CPI-EG variable into a factor with a smaller number. Based on the result of factor analysis there are 3 CPI-EG variables that were reduced because they did not meet the feasibility test and 8 CPI-EG variables that could be analyzed further. These variables form 1 factor which is named the Community Supporting Needs Factor. These factors can explain 79,304% of the total variance. Of the 8 CPI-EG variables, the Health Variable is the most dominant effect on the inflation rate in Lampung Province with a strong correlation of 0,980. This inflation rate is due to public health needs due to the increase in Covid-19 cases in Lampung Province in 2020.&lt;/jats:p&gt;</dc:description><dc:publisher>Institut Teknologi Sumatra</dc:publisher><dc:date>2023-01-28</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.35472/indojam.v2i2.1028</dc:identifier><dc:identifier>10.35472/indojam.v2i2.1028</dc:identifier><dc:source>Indonesian Journal of Applied Mathematics; Vol 2 No 2 (2023); 51</dc:source><dc:source>2774-2016</dc:source><dc:source>2774-2067</dc:source><dc:relation>https://journal.itera.ac.id/index.php/indojam/article/download/1028/352</dc:relation></oai_dc:dc>