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Analisis Sentimen E-Learning X Terhadap Antarmuka Pengguna Menggunakan Kombinasi Multinomial Naive Bayes Dan Pendekatan Design Thinking

Analisis Sentimen E-Learning X Terhadap Antarmuka Pengguna Menggunakan Kombinasi Multinomial Naive Bayes dan Pendekatan Design Thinking

Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 11 No. 4 (2024) · pp. 895–902

DOI
10.25126/jtiik.1147686
ISSN
2528-6579, 2355-7699
Published
2024-08-26
Publisher
Fakultas Ilmu Komputer, Universitas Brawijaya
Language
id
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Bahasa Indonesia

Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap antarmuka e-learning X menggunakan kombinasi Multinomial Naive Bayes dan pendekatan Design Thinking. Permasalahan yang dihadapi adalah banyaknya feedback negatif terkait antarmuka pengguna yang dianggap kurang intuitif. Data sentimen dari ulasan pengguna diklasifikasikan menggunakan algoritma Multinomial Naive Bayes, sementara Design Thinking digunakan untuk merancang solusi antarmuka yang lebih user-friendly. Hasilnya menunjukkan bahwa metode ini efektif meningkatkan sentimen positif pengguna, dengan perbaikan signifikan dalam pengalaman dan kepuasan pengguna terhadap antarmuka e-learning X, Serta rekomendasi untuk pengembangan aplikasi e-learning. Abstract This research aims to analyze user sentiment towards the e-learning interface X using a combination of Multinomial Naive Bayes and Design Thinking approaches. The problem faced was the large number of negative feedback regarding the user interface which was considered less intuitive. Sentiment data from user reviews is classified using the Multinomial Naive Bayes algorithm, while Design Thinking is used to design more user-friendly interface solutions. The results show that this method is effective in increasing positive user sentiment, with significant improvements in user experience and satisfaction with the X e-learning interface As well as recommendations for developing e-learning applications.

English

Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap antarmuka e-learning X menggunakan kombinasi Multinomial Naive Bayes dan pendekatan Design Thinking. Permasalahan yang dihadapi adalah banyaknya feedback negatif terkait antarmuka pengguna yang dianggap kurang intuitif. Data sentimen dari ulasan pengguna diklasifikasikan menggunakan algoritma Multinomial Naive Bayes, sementara Design Thinking digunakan untuk merancang solusi antarmuka yang lebih user-friendly. Hasilnya menunjukkan bahwa metode ini efektif meningkatkan sentimen positif pengguna, dengan perbaikan signifikan dalam pengalaman dan kepuasan pengguna terhadap antarmuka e-learning X, Serta rekomendasi untuk pengembangan aplikasi e-learning. Abstract This research aims to analyze user sentiment towards the e-learning interface X using a combination of Multinomial Naive Bayes and Design Thinking approaches. The problem faced was the large number of negative feedback regarding the user interface which was considered less intuitive. Sentiment data from user reviews is classified using the Multinomial Naive Bayes algorithm, while Design Thinking is used to design more user-friendly interface solutions. The results show that this method is effective in increasing positive user sentiment, with significant improvements in user experience and satisfaction with the X e-learning interface As well as recommendations for developing e-learning applications.

Collaboration network of the authors

40 authors · 128 co-authorship links · 48 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.

  • Satya Wacana Christian University
  • Universitas Raharja
  • STMIK IKMI Cirebon
  • Universitas Bina Sarana Informatika
  • Universitas Buana Perjuangan Karawang
  • Atma Jaya Catholic University of Indonesia
  • Universitas Buddhi Dharma
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Kristoko Dwi HartomoSatya Wacana Christian University4
Ade IrianiSatya Wacana Christian University3
Yerik Afrianto SinggalenAtma Jaya Catholic University of Indonesia3
April Firman DaruState University of Semarang2
Untung RahardjaUniversitas Raharja2
Eko SediyonoSatya Wacana Christian University2
Merryana LestariSatya Wacana Christian University2
Benny DaniawanUniversitas Buddhi Dharma2
Sutarto WijonoAffiliation unknown2
Krismiyati KrismiyatiAffiliation unknown2
Theophilus WellemAffiliation unknown2
Sutarto WijonoAffiliation unknown2
Krismiyati KrismiyatiAffiliation unknown2
Aryasatya Abdie MaheswaraAffiliation unknown1
Qurotul AiniUniversitas Raharja1
Nuke Puji Lestari SantosoUniversitas Raharja1
Sri Yulianto Joko PrasetyoSatya Wacana Christian University1
Ninda LutfianiUniversitas Raharja1
Iwan SetyawanSatya Wacana Christian University1
Adi SetiawanSatya Wacana Christian University1
Sulistio SulistioUniversitas Raharja1
Eric Megah PerdanaSatya Wacana Christian University1
Lyonly Evany TomasoaSatya Wacana Christian University1
Eko Nur HermansyahSatya Wacana Christian University1
Andi Arief SetiawanSTMIK IKMI Cirebon1
Ade Irma PurnamasariSTMIK IKMI Cirebon1
Josua Josen A. LimbongSatya Wacana Christian University1
Heribertus Ary SetyadiUniversitas Bina Sarana Informatika1
Galih Setiawan NurohimUniversitas Bina Sarana Informatika1
Doddy Satrya PerbawaUniversitas Bina Sarana Informatika1
Fian Yulio SantosoSatya Wacana Christian 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://jtiik.ub.ac.id/index.php/jtiik/en/oai, first harvested 27 Okt 2026, last seen 27 Okt 2026.
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	<dc:title xml:lang="id">Analisis Sentimen E-Learning X Terhadap Antarmuka Pengguna Menggunakan Kombinasi Multinomial Naive Bayes Dan Pendekatan Design Thinking</dc:title>
	<dc:title xml:lang="en">Analisis Sentimen E-Learning X Terhadap Antarmuka Pengguna Menggunakan Kombinasi Multinomial Naive Bayes dan Pendekatan Design Thinking</dc:title>
	<dc:creator xml:lang="id">Huda, Baenil</dc:creator>
	<dc:creator xml:lang="id">Sembiring, Irwan</dc:creator>
	<dc:creator xml:lang="id">Setiawan, Iwan </dc:creator>
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	<dc:creator xml:lang="id">Lia Hananto, April </dc:creator>
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	<dc:description xml:lang="id">Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap antarmuka e-learning X menggunakan kombinasi Multinomial Naive Bayes dan pendekatan Design Thinking. Permasalahan yang dihadapi adalah banyaknya feedback negatif terkait antarmuka pengguna yang dianggap kurang intuitif. Data sentimen dari ulasan pengguna diklasifikasikan menggunakan algoritma Multinomial Naive Bayes, sementara Design Thinking digunakan untuk merancang solusi antarmuka yang lebih user-friendly. Hasilnya menunjukkan bahwa metode ini efektif meningkatkan sentimen positif pengguna, dengan perbaikan signifikan dalam pengalaman dan kepuasan pengguna terhadap antarmuka e-learning X, Serta rekomendasi untuk pengembangan aplikasi e-learning.
 
Abstract
 
This research aims to analyze user sentiment towards the e-learning interface X using a combination of Multinomial Naive Bayes and Design Thinking approaches. The problem faced was the large number of negative feedback regarding the user interface which was considered less intuitive. Sentiment data from user reviews is classified using the Multinomial Naive Bayes algorithm, while Design Thinking is used to design more user-friendly interface solutions. The results show that this method is effective in increasing positive user sentiment, with significant improvements in user experience and satisfaction with the X e-learning interface As well as recommendations for developing e-learning applications.</dc:description>
	<dc:description xml:lang="en">Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap antarmuka e-learning X menggunakan kombinasi Multinomial Naive Bayes dan pendekatan Design Thinking. Permasalahan yang dihadapi adalah banyaknya feedback negatif terkait antarmuka pengguna yang dianggap kurang intuitif. Data sentimen dari ulasan pengguna diklasifikasikan menggunakan algoritma Multinomial Naive Bayes, sementara Design Thinking digunakan untuk merancang solusi antarmuka yang lebih user-friendly. Hasilnya menunjukkan bahwa metode ini efektif meningkatkan sentimen positif pengguna, dengan perbaikan signifikan dalam pengalaman dan kepuasan pengguna terhadap antarmuka e-learning X, Serta rekomendasi untuk pengembangan aplikasi e-learning.
 
Abstract
 
This research aims to analyze user sentiment towards the e-learning interface X using a combination of Multinomial Naive Bayes and Design Thinking approaches. The problem faced was the large number of negative feedback regarding the user interface which was considered less intuitive. Sentiment data from user reviews is classified using the Multinomial Naive Bayes algorithm, while Design Thinking is used to design more user-friendly interface solutions. The results show that this method is effective in increasing positive user sentiment, with significant improvements in user experience and satisfaction with the X e-learning interface As well as recommendations for developing e-learning applications.</dc:description>
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	<dc:date>2024-08-26</dc:date>
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	<dc:rights xml:lang="en">Copyright (c) 2024 Jurnal Teknologi Informasi dan Ilmu Komputer</dc:rights>
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