Melola Discovery

← Melola Discovery

Jurnal

Penerapan Perangkat Lunak RStudio untuk Penaksiran Parameter Model Spatial Autoregressive

KUBIK: Jurnal Publikasi Ilmiah Matematika · Vol. 8 No. 1 (2023) · hlm. 50–64

DOI
10.15575/kubik.v8i1.30037
ISSN
2686-0341, 2338-0896
Terbit
2023-05-19
Penerbit
Department of Mathematics, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung
Bahasa
ind

Abstrak

Research and analysis that are not only based on time (temporal) but also on space (spatial) require tools in the form of software to ensure that the data analysis and processing yield good, fast, and accurate results. One of the software tools that can be used for this purpose is RStudio software. The advantages of RStudio include being open-source software (OSS), which can be used freely without cost, and it has many packages and functions that can facilitate data processing. One of the spatial-based analyses is spatial data analysis. The structure within RStudio allows users to call functions related to spatial data analysis, perform computations with sparse matrices (matrices with many zero values), such as spatial weight matrices, estimation of spatial model parameters, and so on. This research examines the application of RStudio software in estimating the parameters of a first-order Spatial Autoregressive (SAR) model using the Maximum Likelihood Estimation (MLE) method on the data of the designation of Intangible Cultural Heritage (ICH) in Indonesia. Based on the results of applying RStudio software, a first-order SAR model with a Queen contiguity weight matrix for the categories of Traditional Customs, Rituals, and Celebrations (TCRC) and Performing Arts (PA) with the minimum Akaike Information Criterion (AIC) value and maximum pseudo-Â value was obtained for predicting the designation data of ICH in Indonesia. The application of RStudio software to the first-order SAR model for the designation data of ICH in Indonesia speeds up and simplifies calculations, making it suitable as a recommendation for relevant agencies such as the Department of Culture, Tourism, Youth, and Sports (Disbudparpora).Â

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 97 tautan kepenulisan bersama · 29 lintas organisasi · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Padjadjaran University
  • Universitas Katolik Widya Mandira
  • University of Sarjanawiyata Tamansiswa
  • Tun Hussein Onn University of Malaysia
  • Indonesian National Institute of Aeronautics and Space
  • Universitas Subang
  • Leiden University
  • Organisasi lain
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Atje Setiawan AbdullahPadjadjaran University4
Estiyan DwipriyokoTun Hussein Onn University of Malaysia4
Kankan ParmikantiPadjadjaran University3
Sri Adi WidodoUniversity of Sarjanawiyata Tamansiswa3
Putri MonikaPadjadjaran University2
Aulia Rahman Al MadaniPadjadjaran University2
Bambang SuhandiIndonesian National Institute of Aeronautics and Space2
Mutik AlawiyahPadjadjaran University2
Salsabila Eka PutriPadjadjaran University2
Syifani AkmaliahPadjadjaran University2
Nita DelimaUniversitas Subang1
Erick PaulusLeiden University1
Samuel Igo LetonUniversitas Katolik Widya Mandira1
Kristoforus Djawa DjongUniversitas Katolik Widya Mandira1
Wilfridus Beda Nuba DosinaengUniversitas Katolik Widya Mandira1
Meryani LakapuUniversitas Katolik Widya Mandira1
Yohanes Ovaritus JagomUniversitas Katolik Widya Mandira1
Devi MunandarNational Research and Innovation Agency1
Christophorus SoetiknoPadjadjaran University1
Riza Andrian IbrahimPadjadjaran University1
Shabira A. AuliyazhafiraPadjadjaran University1
Fariza Alamanda PutriPadjadjaran University1
Theresia S. NauliPadjadjaran University1
I Gede Nyoman Mindra JayaPadjadjaran University1
Annisa Nur FalahPadjadjaran University1
Sandrina NajwaPadjadjaran University1
Edi KurniadiPadjadjaran University1
Eka OktaviansyahPadjadjaran University1
Ega SahertiPadjadjaran University1
Salwa Azzah ImtiyazPadjadjaran University1
Gumgum DarmawanPadjadjaran University1
Ika WulandariUniversity of Sarjanawiyata Tamansiswa1
Annis Deshinta AyuningtyasUniversity of Sarjanawiyata Tamansiswa1
Widowati PusporiniYogyakarta State University1
Hera KhoirunnisaPadjadjaran University1
Iin IrianingsihPadjadjaran University1
Novi SaputriPadjadjaran University1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.uinsgd.ac.id/index.php/kubik/oai, pertama di-harvest 7 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Penerapan Perangkat Lunak RStudio untuk Penaksiran Parameter Model Spatial Autoregressive</dc:title>
	<dc:creator>Salsabil, Tsuroyya</dc:creator>
	<dc:creator>Kusuma, Dianne Amor</dc:creator>
	<dc:creator>Ruchjana, Budi Nurani</dc:creator>
	<dc:subject xml:lang="en-US">RStudio</dc:subject>
	<dc:subject xml:lang="en-US">Spatial Autoregressive (SAR)</dc:subject>
	<dc:subject xml:lang="en-US">Spatial Weight Matrix</dc:subject>
	<dc:description xml:lang="en-US">Research and analysis that are not only based on time (temporal) but also on space (spatial) require tools in the form of software to ensure that the data analysis and processing yield good, fast, and accurate results. One of the software tools that can be used for this purpose is RStudio software. The advantages of RStudio include being open-source software (OSS), which can be used freely without cost, and it has many packages and functions that can facilitate data processing. One of the spatial-based analyses is spatial data analysis. The structure within RStudio allows users to call functions related to spatial data analysis, perform computations with sparse matrices (matrices with many zero values), such as spatial weight matrices, estimation of spatial model parameters, and so on. This research examines the application of RStudio software in estimating the parameters of a first-order Spatial Autoregressive (SAR) model using the Maximum Likelihood Estimation (MLE) method on the data of the designation of Intangible Cultural Heritage (ICH) in Indonesia. Based on the results of applying RStudio software, a first-order SAR model with a Queen contiguity weight matrix for the categories of Traditional Customs, Rituals, and Celebrations (TCRC) and Performing Arts (PA) with the minimum Akaike Information Criterion (AIC) value and maximum pseudo- value was obtained for predicting the designation data of ICH in Indonesia. The application of RStudio software to the first-order SAR model for the designation data of ICH in Indonesia speeds up and simplifies calculations, making it suitable as a recommendation for relevant agencies such as the Department of Culture, Tourism, Youth, and Sports (Disbudparpora). </dc:description>
	<dc:publisher xml:lang="en-US">Department of Mathematics, Faculty of Science and Technology, UIN Sunan Gunung Djati Bandung</dc:publisher>
	<dc:date>2023-05-19</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.uinsgd.ac.id/index.php/kubik/article/view/30037</dc:identifier>
	<dc:identifier>10.15575/kubik.v8i1.30037</dc:identifier>
	<dc:source xml:lang="en-US">KUBIK: Jurnal Publikasi Ilmiah Matematika; Vol. 8 No. 1 (2023): KUBIK: Jurnal Publikasi Ilmiah Matematika; 50-64</dc:source>
	<dc:source xml:lang="id-ID">KUBIK; Vol 8 No 1 (2023): KUBIK: Jurnal Publikasi Ilmiah Matematika; 50-64</dc:source>
	<dc:source>2686-0341</dc:source>
	<dc:source>2338-0896</dc:source>
	<dc:source>10.15575/kubik.v8i1</dc:source>
	<dc:language>ind</dc:language>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/kubik/article/view/30037/9869</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Tsuroyya Salsabil, Dianne Amor Kusuma, Budi Nurani Ruchjana</dc:rights>
</oai_dc:dc>