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COMPARISON OF B-SPLINE AND TRUNCATED SPLINE REGRESSION MODELS FOR TEMPERATURE FORECAST

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 17 No. 4 (2023) · hlm. 1969–1984

DOI
10.30598/barekengvol17iss4pp1969-1984
ISSN
2615-3017, 1978-7227
Terbit
2023-12-19
Penerbit
PATTIMURA UNIVERSITY
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The spline regression model is a nonparametric model and it is applied to data that do not have a certain curve shape and do not have information about it. In this study, the results of the analysis of the B-Spline regression model and the Spline Truncated model were compared on temperature data at several stations on Java Island to obtain the best model that can be used to forecast the temperature for the next few days. Daily temperature data were obtained from BMKG at Semarang, Juanda, Serang, Sleman, Bandung, and Kemayoran stations. The temperature data were modeled with the B-Spline and Spline Truncated regression using the optimal knot point of the GCV, and the best model was obtained. The analysis shows that the B-Spline regression models are better than the truncated Spline models with a fairly small MSE value and a greater coefficient of determination than the truncated Spline model.

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  • Sebelas Maret University
  • Institut Teknologi Adhi Tama Surabaya
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Rekan penulisOrganisasiArtikel bersama
Yuliana SusantiAfiliasi tidak diketahui2
Yuliana SusantiSebelas Maret University2
Sri Sulistijowati HandajaniSebelas Maret University2
Muhammad Bayu NirwanaSebelas Maret University2
Lintang Pramesti NareswariSebelas Maret University2
Etik ZukhronahSebelas Maret University1
Fauzi Nafi'udinSebelas Maret University1
Sugiyanto SugiyantoInstitut Teknologi Adhi Tama Surabaya1
Ardina Nilam PrawastyoriniSebelas Maret University1
Made Tiara Saskia PuspitasariAfiliasi tidak diketahui1
Nikki Ayu AtamiaAfiliasi tidak diketahui1

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) 
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	<dc:title xml:lang="en-US">COMPARISON OF B-SPLINE AND TRUNCATED SPLINE REGRESSION MODELS FOR TEMPERATURE FORECAST</dc:title>
	<dc:creator>Handajani, Sri Sulistijowati</dc:creator>
	<dc:creator>Pratiwi, Hasih</dc:creator>
	<dc:creator>Respatiwulan, Respatiwulan</dc:creator>
	<dc:creator>Qona’ah, Niswatul</dc:creator>
	<dc:creator>Ramadhania, Monica</dc:creator>
	<dc:creator>Evitasi, Niken</dc:creator>
	<dc:creator>Apsari, Nindya Eka</dc:creator>
	<dc:description xml:lang="en-US">The spline regression model is a nonparametric model and it is applied to data that do not have a certain curve shape and do not have information about it. In this study, the results of the analysis of the B-Spline regression model and the Spline Truncated model were compared on temperature data at several stations on Java Island to obtain the best model that can be used to forecast the temperature for the next few days. Daily temperature data were obtained from BMKG at Semarang, Juanda, Serang, Sleman, Bandung, and Kemayoran stations. The temperature data were modeled with the B-Spline and Spline Truncated regression using the optimal knot point of the GCV, and the best model was obtained. The analysis shows that the B-Spline regression models are better than the truncated Spline models with a fairly small MSE value and a greater coefficient of determination than the truncated Spline model.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2023-12-19</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/9104</dc:identifier>
	<dc:identifier>10.30598/barekengvol17iss4pp1969-1984</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications; 1969-1984</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol17iss4year2023</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/9104/7172</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Sri Sulistijowati Handajani, Hasih Pratiwi, Respatiwulan Respatiwulan, Niswatul Qona’ah, Monica Ramadhania, Niken Evitasi, Nindya Eka Apsari</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>