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Estimasi Parameter Structural Equation Modeling Terhadap Kepuasan Pelanggan Layanan Telekomunikasi Menggunakan Metode Maximum Likelihood

ESTIMASI: Journal of Statistics and Its Application · Vol. 1 No. 1 (2022) · pp. 48–57

DOI
10.20956/ejsa.v1i1.9299
ISSN
2721-379X, 2721-3803
Published
2022-02-02
Publisher
Hasanuddin University
Language
en

Abstract

Structural Equation Modeling is a statistical technique that is able to analyze the pattern of simultan linear relationships between indicator variables and latent variables. In this study using structural equation modeling to analyze the relationship between perceived quality, perceived value, perceived bestscore, and customer satisfaction. The purpose of this study is to obtain the result parameter model estimation of structural equation modeling using maximum likelihood method and to obtain the level of students satisfaction from faculty of Mathematics and Natural Science Hasanuddin University toward Tri operator. Data collected by distributing questionnaire. Collecting sample in this study using Proporsional Random Sampling technique. To measure the level of students satisfaction from faculty of Mathematics and Natural Science Hasanuddin University toward Tri operator, the model chosen is the model used to measure Indonesian Customer Satisfaction Indeks. From the result of this study obtained in the amount of 92,04% with very satisfied criteria level of students satisfaction from faculty of Mathematics and Natural Science Hasanuddin University toward Tri operator with very satisfied criteria.

Keywords

Collaboration network of the authors

40 authors · 92 co-authorship links · 3 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Hasanuddin University
  • Institut Teknologi Sepuluh Nopember
  • Politeknik Pertanian Negeri Pangkajene Kepulauan
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Anna IslamiyatiHasanuddin University5
Anisa AnisaHasanuddin University5
A. Muthiah Nur AngrianyHasanuddin University4
Nirwan IlyasHasanuddin University3
Andi Kresna JayaHasanuddin University3
Sitti SahrimanAffiliation unknown2
Zhazha Alifkhamulki RamdhaniHasanuddin University1
Samsul ArifinHasanuddin University1
Andi Sitti Fahmi Riyanti HufainiHasanuddin University1
Vieri KoerniawanHasanuddin University1
Nurtiti SunusiHasanuddin University1
Dewi Rahma EnteHasanuddin University1
Fitriatusakiah FitriatusakiahAffiliation unknown1
Andi Tenri Riski AmaliaAffiliation unknown1
Ririn AriantiAffiliation unknown1
Muhammad IdmanAffiliation unknown1
Sitti SahrimanHasanuddin University1
Fitri AnnisaAffiliation unknown1
Muhammad FadilAffiliation unknown1
Ainul FajriAffiliation unknown1
Asnidar AsnidarHasanuddin University1
Nasrah SirajangHasanuddin University1
Nurul HikmahAffiliation unknown1
Fauziah NurhidayahAffiliation unknown1
Anni Ivoni ParapaHasanuddin University1
Bambang Widjanarko OtokInstitut Teknologi Sepuluh Nopember1
Muhammad AkbarAffiliation unknown1
Nurmiati Nurmiati NurdinAffiliation unknown1
Saleh AfAffiliation unknown1
Hasruni Satya TarumaAffiliation unknown1
Try Widyaiswara HairilAffiliation unknown1
Hasrina HasrinaAffiliation unknown1
Ilyas IlyasPoliteknik Pertanian Negeri Pangkajene Kepulauan1
Siswanto SiswantoAffiliation unknown1
Georgina Maria TinungkiHasanuddin University1
Nur Aminah AhmadHasanuddin University1
Andi Atirah ArumtiwiHasanuddin University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/ESTIMASI/oai, first harvested 2 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Estimasi Parameter Structural Equation Modeling Terhadap Kepuasan Pelanggan Layanan Telekomunikasi Menggunakan Metode Maximum Likelihood</dc:title>
	<dc:creator xml:lang="en">Priyatna, Dwicahyo Ramadhan</dc:creator>
	<dc:creator xml:lang="en">Raupong, Raupong</dc:creator>
	<dc:creator xml:lang="en">Talangko, La Podje</dc:creator>
	<dc:subject xml:lang="en">Customer Satisfaction</dc:subject>
	<dc:subject xml:lang="en">Maximum Likelihood</dc:subject>
	<dc:subject xml:lang="en">Provider Tri</dc:subject>
	<dc:subject xml:lang="en">SEM</dc:subject>
	<dc:subject xml:lang="en">Goodness of Fit.</dc:subject>
	<dc:description xml:lang="en">Structural Equation Modeling is a statistical technique that is able to analyze the pattern of simultan linear relationships between indicator variables and latent variables. In this study using structural equation modeling to analyze the relationship between perceived quality, perceived value, perceived bestscore, and customer satisfaction. The purpose of this study is to obtain the result parameter model estimation of structural equation modeling using maximum likelihood method and to obtain the level of students satisfaction from faculty of Mathematics and Natural Science Hasanuddin University toward Tri operator. Data collected by distributing questionnaire. Collecting sample in this study using Proporsional Random Sampling technique. To measure the level of students satisfaction from faculty of Mathematics and Natural Science Hasanuddin University toward Tri operator, the model chosen is the model used to measure Indonesian Customer Satisfaction Indeks. From the result of this study obtained in the amount of 92,04% with very satisfied criteria level of students satisfaction from faculty of Mathematics and Natural Science Hasanuddin University toward Tri operator with very satisfied criteria.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2022-02-02</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/9299</dc:identifier>
	<dc:identifier>10.20956/ejsa.v1i1.9299</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 1, No. 1, Januari, 2020 : Estimasi; 48-57</dc:source>
	<dc:source>2721-379X</dc:source>
	<dc:source>2721-3803</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/9299/6806</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2020 ESTIMASI: Journal of Statistics and Its Application</dc:rights>
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