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Analisis Sentimen Ulasan Pengguna Aplikasi YouCut Pada Google Play Store Menggunakan Metode Logistic Regression Classifier: Sentiment Analysis of YouCut Application User Reviews on the Google Play Store Using the Logistic Regression Classifier Method

Indonesian Journal of Mathematics and Natural Sciences · Vol. 49 No. 1 (2026) · hlm. 42–56

DOI
10.15294/jm.v49i1.27188
ISSN
2774-7832
Terbit
2026-10-05
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

The rapid development of digital technology encourages people to be more active in reviewing digital services, including mobile applications. User reviews play an important role in shaping an app's reputation and success in the market. However, the high volume of reviews makes it difficult to analyze manually. This research aims to automatically analyze the sentiment of YouCut app user reviews with a machine learning approach using the Logistic Regression algorithm. The dataset in the form of 1,000 user reviews in Indonesian language is taken automatically from Google Play Store and processed through the stages of data cleaning, text preprocessing, lexicon-based sentiment labeling, feature extraction with TF-IDF, and model training and evaluation. The analysis results show that the Logistic Regression model is able to classify sentiment with an accuracy of 89%. Visualization of sentiment distribution shows the dominance of positive sentiment by 62.2%. Analysis of dominant words through wordcloud revealed that users appreciated the ease of use and video editing results, but also voiced complaints about performance and ad interruptions. The findings provide strategic insights for developers to continuously improve the features and user experience of the YouCut app.

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  • State University of Semarang
  • Tun Hussein Onn University of Malaysia
  • Institut Teknologi Kalimantan
  • Badan Pengkajian dan Penerapan Teknologi
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Rekan penulisOrganisasiArtikel bersama
Much Aziz MuslimTun Hussein Onn University of Malaysia2
Angga Riski Dwi SaputraAfiliasi tidak diketahui2
Grace Yudha SatriawanAfiliasi tidak diketahui2
Salsabila Rahadatul AisyAfiliasi tidak diketahui2
Erwin PrasetyoState University of Semarang1
Nafa FajriatiState University of Semarang1
Jumanto JumantoState University of Semarang1
Rofik RofikState University of Semarang1
Endang SugihartiState University of Semarang1
Alamsyah AlamsyahInstitut Teknologi Kalimantan1
Riza ArifudinState University of Semarang1
Barokah IsdaryantiState University of Semarang1
Isti HidayahAfiliasi tidak diketahui1
Lyna LatifahAfiliasi tidak diketahui1
FafuridaAfiliasi tidak diketahui1
Sabrina Desy RahmawatiAfiliasi tidak diketahui1
Adam Satrio KanzaAfiliasi tidak diketahui1
Agus Bayu PamungkasAfiliasi tidak diketahui1
Edward JhonatanAfiliasi tidak diketahui1
Fredy Kusuma NellyAfiliasi tidak diketahui1
Fariska Ratna FauziahAfiliasi tidak diketahui1
Desi Adrianti AwaliyahAfiliasi tidak diketahui1
Rini MuzayanahAfiliasi tidak diketahui1
Apri Dwi LestariAfiliasi tidak diketahui1
M. Anbiya Nur IslamAfiliasi tidak diketahui1
Anwar AnwarAfiliasi tidak diketahui1
Djoko Wahyu KarmiadjiBadan Pengkajian dan Penerapan Teknologi1
Budi HaryantoAfiliasi tidak diketahui1
Ogi IvanoAfiliasi tidak diketahui1
Mustasyar PerkasaAfiliasi tidak diketahui1
Makmuri NuraminAfiliasi tidak diketahui1
Yudi IrawadiAfiliasi tidak diketahui1
Yana HeryanaAfiliasi tidak diketahui1
Indra HardimanAfiliasi tidak diketahui1
Saeful AndhiAfiliasi tidak diketahui1
Wahyu PurnawirawanAfiliasi 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://journal.unnes.ac.id/journals/JM/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">Analisis Sentimen Ulasan Pengguna Aplikasi YouCut Pada Google Play Store Menggunakan Metode Logistic Regression Classifier: Sentiment Analysis of YouCut Application User Reviews on the Google Play Store Using the Logistic Regression Classifier Method</dc:title>
	<dc:creator xml:lang="en">Athifa Dihyan Calysta</dc:creator>
	<dc:creator xml:lang="en">Budi Prasetiyo</dc:creator>
	<dc:creator xml:lang="en">Regina Ayumi Ulayyaa</dc:creator>
	<dc:subject xml:lang="en">Machine Learning</dc:subject>
	<dc:subject xml:lang="en">Sentimen</dc:subject>
	<dc:subject xml:lang="en">Ulasan</dc:subject>
	<dc:subject xml:lang="en">Youcut</dc:subject>
	<dc:subject xml:lang="en">Logistic Regression</dc:subject>
	<dc:description xml:lang="en">The rapid development of digital technology encourages people to be more active in reviewing digital services, including mobile applications. User reviews play an important role in shaping an app's reputation and success in the market. However, the high volume of reviews makes it difficult to analyze manually. This research aims to automatically analyze the sentiment of YouCut app user reviews with a machine learning approach using the Logistic Regression algorithm. The dataset in the form of 1,000 user reviews in Indonesian language is taken automatically from Google Play Store and processed through the stages of data cleaning, text preprocessing, lexicon-based sentiment labeling, feature extraction with TF-IDF, and model training and evaluation. The analysis results show that the Logistic Regression model is able to classify sentiment with an accuracy of 89%. Visualization of sentiment distribution shows the dominance of positive sentiment by 62.2%. Analysis of dominant words through wordcloud revealed that users appreciated the ease of use and video editing results, but also voiced complaints about performance and ad interruptions. The findings provide strategic insights for developers to continuously improve the features and user experience of the YouCut app.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-10-05</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://journal.unnes.ac.id/journals/JM/article/view/27188</dc:identifier>
	<dc:identifier>10.15294/jm.v49i1.27188</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Mathematics and Natural Sciences; Vol. 49 No. 1 (2026): Volume 49 Nomor 1 April 2026; 42-56</dc:source>
	<dc:source>2774-7832</dc:source>
	<dc:source>10.15294/jm.v49i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/JM/article/view/27188/11664</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Indonesian Journal of Mathematics and Natural Sciences</dc:rights>
</oai_dc:dc>