Melola Discovery

← Melola Discovery

Akses terbuka Jurnal SINTA 3

SPATIAL MODELING IN DATA PANELS WITH LEAST SQUARE DUMMY VARIABLE TO IDENTIFY FACTORS AFFECTING UNEMPLOYMENT IN INDONESIA

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 3 (2023) · hlm. 1381–1392

DOI
10.30598/barekengvol17iss3pp1381-1392
ISSN
2615-3017, 1978-7227
Terbit
2023-09-30
Penerbit
PATTIMURA UNIVERSITY
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Unemployment is a serious issue that must be addressed. Unemployment has a negative impact on the national economy, making economic growth unpredictable. In 2015, Indonesia was ranked third with the highest unemployment rate in ASEAN. It is estimated that the unemployment rate in each province of Indonesia is influenced by the surrounding provinces. Therefore, spatial modelling on panel data with Least Square Dummy Variable (LSDV) is needed to identify factors that influence unemployment in Indonesia. The data used is Open Unemployment Rate (OUR) data and influencing factors are population, average length of schooling, Gross Regional Domestic Product (GRDP) rate, and Human Development Index (HDI) in 34 provinces of Indonesia from 2015 to 2020. Spatial model on panel data with appropriate LSDV for OUR data are Spatial Autoregressive Model (SAR) and Spatial Error Model (SEM). The SAR model with fixed effects has an value of 90.289%, which is greater than the SEM model with fixed effects (82.708%) and LSDV model (87.864%). The root mean square error value for SAR model with fixed effects is 0.58951, less than SEM model with fixed effects (0.78669) and LSDV model (0.65903). The best model is the SAR model with fixed effects. Based on this model, the factors that influence OUR in Indonesia from 2015-2020 are obtained, namely the rate of GRDP and HDI.

Jaringan kolaborasi para penulis

40 penulis · 118 tautan kepenulisan bersama · 7 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.

  • Hasanuddin University
  • Cenderawasih University
  • Sebelas Maret University
  • Universitas Sulawesi Barat
  • Universitas Papua
  • President University
  • Afiliasi tidak diketahui
  • 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
Anisa KalondengHasanuddin University4
Anna IslamiyatiHasanuddin University4
Andi Isna YunitaHasanuddin University2
Andi M. Alfin BasoHasanuddin University2
Nurtiti SunusiHasanuddin University2
Nurul RezkiAfiliasi tidak diketahui2
Fadilah Amirul AdhelHasanuddin University2
Yundy HafizriandaCenderawasih University1
Alfiana AntohCenderawasih University1
Ainun Utari BudistiharahAfiliasi tidak diketahui1
Mamik UtamiHasanuddin University1
Hajratul Ashwad KAfiliasi tidak diketahui1
Afifah Mutiah NurdinHasanuddin University1
Muh. Indirwan ArfanHasanuddin University1
Sitti SahrimanAfiliasi tidak diketahui1
Muhammad FadilAfiliasi tidak diketahui1
A. Muthiah Nur AngrianyHasanuddin University1
Rini JamalAfiliasi tidak diketahui1
Andi FebriyantiAfiliasi tidak diketahui1
Rahmiati RahimAfiliasi tidak diketahui1
Nirwan IlyasHasanuddin University1
Haksar HaksarAfiliasi tidak diketahui1
Endang SulastriSebelas Maret University1
Ririn SetiyowatiSebelas Maret University1
Nur Hilal A. SyahrirUniversitas Sulawesi Barat1
Georgina Maria TinungkiHasanuddin University1
Taufiq AkbarHasanuddin University1
Zaraswati Dwyana ZainuddinHasanuddin University1
Herlina RasyidHasanuddin University1
Nur Aliah RamadhaniHasanuddin University1
Nadia Nazwadiah CaesarHasanuddin University1
Nurfadilah NurfadilahHasanuddin University1
Muhammad Ridzky DavalaHasanuddin University1
Erna Tri HerdianiHasanuddin University1
Nuravia NuraviaAfiliasi tidak diketahui1
Junianto SesaUniversitas Papua1
Maria Yus Trinity IrsanPresident 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://ojs3.unpatti.ac.id/index.php/barekeng/oai, pertama di-harvest 5 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">SPATIAL MODELING IN DATA PANELS WITH LEAST SQUARE DUMMY VARIABLE TO IDENTIFY FACTORS AFFECTING UNEMPLOYMENT IN INDONESIA</dc:title>
	<dc:creator>Amil, Sri Indriani</dc:creator>
	<dc:creator>Thamrin, Sri Astuti</dc:creator>
	<dc:creator>Siswanto, Siswanto</dc:creator>
	<dc:description xml:lang="en-US">Unemployment is a serious issue that must be addressed. Unemployment has a negative impact on the national economy, making economic growth unpredictable. In 2015, Indonesia was ranked third with the highest unemployment rate in ASEAN. It is estimated that the unemployment rate in each province of Indonesia is influenced by the surrounding provinces. Therefore, spatial modelling on panel data with Least Square Dummy Variable (LSDV) is needed to identify factors that influence unemployment in Indonesia. The data used is Open Unemployment Rate (OUR) data and influencing factors are population, average length of schooling, Gross Regional Domestic Product (GRDP) rate, and Human Development Index (HDI) in 34 provinces of Indonesia from 2015 to 2020. Spatial model on panel data with appropriate LSDV for OUR data are Spatial Autoregressive Model (SAR) and Spatial Error Model (SEM). The SAR model with fixed effects has an  value of 90.289%, which is greater than the SEM model with fixed effects (82.708%) and LSDV model (87.864%). The root mean square error value for SAR model with fixed effects is 0.58951, less than SEM model with fixed effects (0.78669) and LSDV model (0.65903). The best model is the SAR model with fixed effects. Based on this model, the factors that influence OUR in Indonesia from 2015-2020 are obtained, namely the rate of GRDP and HDI.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2023-09-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8068</dc:identifier>
	<dc:identifier>10.30598/barekengvol17iss3pp1381-1392</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications; 1381-1392</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol17iss3year2023</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8068/6614</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Sri Indriani Amil, Sri Astuti Thamrin, Siswanto Siswanto</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>