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CLASSIFICATION ANALYSIS OF STUDENT SATISFACTION WITH THE IMPLEMENTATION OF ACADEMIC SERVICES FMIPA HALU OLEO UNIVERSITY USING THE RANDOM FOREST ALGORITHM

ANALISIS KLASIFIKASI KEPUASAN MAHASISWA TERHADAP PENYELENGGARAAN PELAYANAN AKADEMIK FMIPA UNIVERSITAS HALU OLEO MENGGUNAKAN ALGORITMA RANDOM FOREST

AnoaTIK: Jurnal Teknologi Informasi dan Komputer · Vol. 2 No. 2 (2024) · pp. 77–83

DOI
10.33772/anoatik.v2i2.64
ISSN
2987-7652
Published
2024-12-10
Publisher
Program Studi Ilmu Komputer FMIPA-UHO
Language
ind
License
creativecommons.org/licenses/by-sa/4.0

Abstract

English

Student satisfaction with academic services is an important indicator for assessing the performance of higher education institutions. This research aims to measure the level of satisfaction of Halu Oleo University FMIPA students with the academic services provided. It is hoped that the results of this research can help universities improve inadequate services and maintain or improve the quality of services that are already good. This research uses quantitative methods with a survey approach. Data was obtained through a questionnaire filled out by 91 FMIPA students at Halu Oleo University. Data analysis was carried out with the Random Forest algorithm using R Studio software. The analysis process includes data cleaning, dividing data into training data and test data, as well as classification using Random Forest. Model evaluation was carried out with a confusion matrix and k-fold cross-validation to ensure the accuracy and reliability of the classification results. The research results show that the Random Forest algorithm can classify student satisfaction levels with 94% accuracy. The factors that most influence student satisfaction are assurance (guarantee), tangibles (physical evidence), reliability (reliability), responsiveness (responsiveness), and empathy (empathy).

Indonesian

Kepuasan mahasiswa terhadap layanan akademik adalah indikator penting untuk menilai kinerja institusi pendidikan tinggi. Penelitian ini bertujuan untuk mengukur tingkat kepuasan mahasiswa FMIPA Universitas Halu Oleo terhadap layanan akademik yang diberikan. Hasil dari penelitian ini diharapkan dapat membantu universitas dalam memperbaiki layanan yang kurang memadai serta mempertahankan atau meningkatkan kualitas layanan yang sudah baik. Penelitian ini menggunakan metode kuantitatif dengan pendekatan survei. Data diperoleh melalui kuesioner yang diisi oleh 91 mahasiswa FMIPA Universitas Halu Oleo. Analisis data dilakukan dengan algoritma Random Forest menggunakan perangkat lunak R Studio. Proses analisis meliputi pembersihan data, pembagian data menjadi data latih dan data uji, serta klasifikasi menggunakan Random Forest. Evaluasi model dilakukan dengan confusion matrix dan k-fold cross-validation untuk memastikan akurasi dan keandalan hasil klasifikasi. Hasil penelitian menunjukkan bahwa algoritma Random Forest dapat mengklasifikasikan tingkat kepuasan mahasiswa dengan akurasi 94%. Faktor yang paling mempengaruhi kepuasan mahasiswa adalah assurance (jaminan), tangibles (bukti fisik), reliability (keandalan), responsiveness (daya tanggap), dan empathy (empati).

Keywords

Collaboration network of the authors

40 authors · 112 co-authorship links · 1 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.

  • Universitas Halu Oleo
  • King Abdulaziz University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Natalis RansiUniversitas Halu Oleo4
Gunawan GunawanUniversitas Halu Oleo3
La SurimiUniversitas Halu Oleo2
Ruslan RuslanAffiliation unknown2
AsnaniAffiliation unknown1
Wa Ode IrmayadaniUniversitas Halu Oleo1
Jumadil NangiUniversitas Halu Oleo1
Abdullah Malik Fajar ThahaUniversitas Halu Oleo1
Umu KhabibahUniversitas Halu Oleo1
GunawanUniversitas Halu Oleo1
La Ode Muhammad Ilham SetiawanUniversitas Halu Oleo1
Amal AnugraUniversitas Halu Oleo1
La Ode Muhammad Hafidz Abdillah Sam MongkitoUniversitas Halu Oleo1
Budi Wijaya RaufUniversitas Halu Oleo1
Ferdinand Murni HamunduUniversitas Halu Oleo1
Herdi BudimanUniversitas Halu Oleo1
Juang JulianUniversitas Halu Oleo1
Putu Nara Kusuma PrasanjayaUniversitas Halu Oleo1
Achirul Slamet SugiartoAffiliation unknown1
La Ode SaidiAffiliation unknown1
Ferdinand Murni HamunduAffiliation unknown1
Almunajat Amirul SolehAffiliation unknown1
Ahmad Hoirul BasoriKing Abdulaziz University1
Makkulau MakkulauAffiliation unknown1
Adham Panggu RumandaAffiliation unknown1
Andi Muhammad Islah H. MansyurAffiliation unknown1
Nana SumarnaUniversitas Halu Oleo1
Fuji astutiAffiliation unknown1
Muhibi MuhibiAffiliation unknown1
Baharuddin BaharuddinAffiliation unknown1
Mukhsar MukhsarAffiliation unknown1
Ida UsmanAffiliation unknown1
Rahmalia SahupalaAffiliation unknown1
Edi CahyonoUniversitas Halu Oleo1
Lilis LaomeAffiliation unknown1
Norma Muhtar MuhtarAffiliation unknown1
Agusyarif Rezka NuhaAffiliation unknown1

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://anoatik.uho.ac.id/index.php/atik/oai, first harvested 26 Oct 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">CLASSIFICATION ANALYSIS OF STUDENT SATISFACTION WITH THE IMPLEMENTATION OF ACADEMIC SERVICES FMIPA HALU OLEO UNIVERSITY USING THE RANDOM FOREST ALGORITHM</dc:title>
	<dc:title xml:lang="id-ID">ANALISIS KLASIFIKASI KEPUASAN MAHASISWA TERHADAP PENYELENGGARAAN PELAYANAN AKADEMIK FMIPA UNIVERSITAS HALU OLEO MENGGUNAKAN ALGORITMA RANDOM FOREST</dc:title>
	<dc:creator>Tiftazani, Auni</dc:creator>
	<dc:creator>Tenriawaru, Andi</dc:creator>
	<dc:creator>Arviana Rahman, Gusti</dc:creator>
	<dc:subject xml:lang="id-ID">Kepuasan Mahasiswa</dc:subject>
	<dc:subject xml:lang="id-ID">Layanan Akademik</dc:subject>
	<dc:subject xml:lang="id-ID">Random Forest</dc:subject>
	<dc:subject xml:lang="id-ID">Klasifikasi</dc:subject>
	<dc:subject xml:lang="id-ID">Data Mining</dc:subject>
	<dc:description xml:lang="en-US">Student satisfaction with academic services is an important indicator for assessing the performance of higher education institutions. This research aims to measure the level of satisfaction of Halu Oleo University FMIPA students with the academic services provided. It is hoped that the results of this research can help universities improve inadequate services and maintain or improve the quality of services that are already good. This research uses quantitative methods with a survey approach. Data was obtained through a questionnaire filled out by 91 FMIPA students at Halu Oleo University. Data analysis was carried out with the Random Forest algorithm using R Studio software. The analysis process includes data cleaning, dividing data into training data and test data, as well as classification using Random Forest. Model evaluation was carried out with a confusion matrix and k-fold cross-validation to ensure the accuracy and reliability of the classification results. The research results show that the Random Forest algorithm can classify student satisfaction levels with 94% accuracy. The factors that most influence student satisfaction are assurance (guarantee), tangibles (physical evidence), reliability (reliability), responsiveness (responsiveness), and empathy (empathy). </dc:description>
	<dc:description xml:lang="id-ID">Kepuasan mahasiswa terhadap layanan akademik adalah indikator penting untuk menilai kinerja institusi pendidikan tinggi. Penelitian ini bertujuan untuk mengukur tingkat kepuasan mahasiswa FMIPA Universitas Halu Oleo terhadap layanan akademik yang diberikan. Hasil dari penelitian ini diharapkan dapat membantu universitas dalam memperbaiki layanan yang kurang memadai serta mempertahankan atau meningkatkan kualitas layanan yang sudah baik. Penelitian ini menggunakan metode kuantitatif dengan pendekatan survei. Data diperoleh melalui kuesioner yang diisi oleh 91 mahasiswa FMIPA Universitas Halu Oleo. Analisis data dilakukan dengan algoritma Random Forest menggunakan perangkat lunak R Studio. Proses analisis meliputi pembersihan data, pembagian data menjadi data latih dan data uji, serta klasifikasi menggunakan Random Forest. Evaluasi model dilakukan dengan confusion matrix dan k-fold cross-validation untuk memastikan akurasi dan keandalan hasil klasifikasi. Hasil penelitian menunjukkan bahwa algoritma Random Forest dapat mengklasifikasikan tingkat kepuasan mahasiswa dengan akurasi 94%. Faktor yang paling mempengaruhi kepuasan mahasiswa adalah assurance (jaminan), tangibles (bukti fisik), reliability (keandalan), responsiveness (daya tanggap), dan empathy (empati).</dc:description>
	<dc:publisher xml:lang="id-ID">Program Studi Ilmu Komputer FMIPA-UHO</dc:publisher>
	<dc:date>2024-12-10</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://anoatik.uho.ac.id/index.php/atik/article/view/64</dc:identifier>
	<dc:identifier>10.33772/anoatik.v2i2.64</dc:identifier>
	<dc:source xml:lang="en-US">AnoaTIK: Jurnal Teknologi Informasi &amp; Komputer; Vol. 2 No. 2 (2024): Desember 2024; 77-83</dc:source>
	<dc:source xml:lang="id-ID">AnoaTIK: Jurnal Teknologi Informasi dan Komputer; Vol 2 No 2 (2024): Desember 2024; 77-83</dc:source>
	<dc:source>2987-7652</dc:source>
	<dc:source>10.33772/anoatik.v2i2</dc:source>
	<dc:language>ind</dc:language>
	<dc:relation>https://anoatik.uho.ac.id/index.php/atik/article/view/64/25</dc:relation>
	<dc:rights xml:lang="id-ID">Hak Cipta (c) 2024 Auni Tiftazani, Andi Tenriawaru, Gusti Arviana Rahman</dc:rights>
	<dc:rights xml:lang="id-ID">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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