Analysis Of Mypertamina Service Design To Improve Service Quality

Authors

  • Rafie Pratama Universitas pembangunan negeri 'veteran' jawa timur, Surabaya, Indonesia
  • Wiwik Handayani Universitas pembangunan negeri 'veteran' jawa timur, Surabaya, Indonesia

DOI:

https://doi.org/10.33751/jhss.v9i1.49

Keywords:

Sentiment, User Complaints, Service Quality, e-ServQual

Abstract

The public's dependence on fuel oil (BBM) makes it a vital component in supporting the smooth production and distribution of goods and services, as well as maintaining economic stability. However, it is estimated that around 30 percent of energy subsidies have been enjoyed by groups that are not classified as poor or vulnerable. To address this issue, PT Pertamina (Persero) has implemented a new policy requiring vehicle registration through the MyPertamina app for users of subsidized fuels such as Pertalite and Solar. However, many users have expressed complaints regarding the operational aspects of the app. Therefore, this study employs a descriptive quantitative method relying on objective measurements and mathematical analysis to identify user complaints through sentiment analysis using the Long Short-Term Memory (LSTM) machine learning method. The data used consists of 2,000 user reviews of the MyPertamina app obtained from the Google Play Store. The analysis process was conducted using the Python programming language via the Google Colab platform. The results of the study indicate that the majority of user sentiment is negative, suggesting that the quality of MyPertamina's services is still suboptimal. Additionally, this study adopts the five dimensions of e-ServQual to identify factors influencing users' perceptions and sentiment toward the app. These findings are expected to serve as evaluation material for improving MyPertamina's operational services in the future.

References

Adi, A. C. (2024). Fokus Benahi Subsidi Tepat Sasaran, Pemerintah Kaji Beberapa Opsi Skema Penyaluran. Kementerian Energi Dan Sumber Daya Mineral Republik Indonesia. Https://Www.Esdm.Go.Id/Id/Media-Center/Arsip-Berita/Fokus-Benahi-Subsidi-Tepat-Sasaran-Pemerintah-Kaji-Beberapa-Opsi-Skema-Penyaluran

Chintia Simbolon, I., Karolina Sidebang, L., Theofani Margaret, N., Valencia Pangaribuan, S., & Kemala Dewi Lubi, P. (2024). Analisis Dampak Kebijakan Perubahan Publik Harga Bbm Terhadap Perekonomian Rakyat Indonesia. El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam, 5(4), 2519–2528. Https://Doi.Org/10.47467/Elmal.V5i4.1112

Dila Lestari, F. (2022). Kenaikan Harga Bbm Dan Pengaruhnya Terhadap Tingkat Inflasi Di Indonesia. Journal Of Islamic Business Management Studies, 3(2), 87–96.

Fitrah, H., Marliyah, & Rahmani, N. A. B. (2024). Analisis Elektrifikasi Transportasi Untuk Penghematan Subsidi Bbm. Jurnal Ilmiah Ekonomi Islam, 10(02), 2371–2383.

Hutabarat, A. W. V., Adnyani, N. L. S. S., & Suryadi, K. (2024). Analisis Sentimen Data Ulasan Pengguna Mypertamina Di Twitter Dengan Metode Text Mining. Jurnal Rekayasa Sistem Industri, 13(1), 145–154. Https://Doi.Org/10.26593/Jrsi.V13i1.6958.145-154

Harahap, N. K. (2021). Analisis Kelangkaan Bbm Premium Di Padangsidimpuan Perspektif Hukum Positif Dan Hukum Ekonomi Syariah. Yurisprudentia: Jurnal Hukum Ekonomi, 7(1), 56–76.

Hutabarat, A. W. V., Adnyani, N. L. S. S., & Suryadi, K. (2024). Analisis Sentimen Data Ulasan Pengguna Mypertamina Di Twitter Dengan Metode Text Mining. Jurnal Rekayasa Sistem Industri, 13(1), 145–154. Https://Doi.Org/10.26593/Jrsi.V13i1.6958.145-154

Ighomereho, O. S. (2022). Impact Of E-Service Quality On Customer Satisfaction: A Study Of Internet Banking For General And Maritime Services In Nigeria. 28(3), 488–501. Https://Doi.Org/10.1057/S41264-022-00164-X

Isnain, A. R., Sulistiani, H., Hurohman, B. M., Nurkholis, A., & Styawati, S. (2022). Analisis Perbandingan Algoritma Lstm Dan Naive Bayes Untuk Analisis Sentimen. Jurnal Edukasi Dan Penelitian Informatika (Jepin), 8(2), 299. Https://Doi.Org/10.26418/Jp.V8i2.54704

Indrayanto, C. G., Ratnawati, D. E., & Rahayudi, B. (2023). Analisis Sentimen Data Ulasan Pengguna Aplikasi Mypertamina Di Indonesia Pada Google Play Store Menggunakan Metode Random Forest. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 7(3), 1131–1139. Http://J-Ptiik.Ub.Ac.Id

Kumalasari, A. T., & Handayani, W. (2024). Sentiment Analysis To Improve The Quality Of Public Transportation Services “Suroboyo Bus.” Indonesian Interdisciplinary Journal Of Sharia Economics (Iijse), 7(3), 6407–6426.

Marchelia Putri Az Zahra, N., Runtu Leluni, I., Nafisah, I., Choiron Nur Rizqi, A., Khoiriawati, N., Sayyid Ali Rahmatullah Tulungagung Alamat, U., Mayor Sujadi No, J., Kedungwaru, K., Tulungagung, K., & Timur, J. (2024). Pengaruh Kenaikan Harga Bbm Subsidi Terhadap Pengeluaran Konsumsi Rumah Tangga Di Kabupaten Tulungagung. 2(3), 46–57. Https://Doi.Org/10.61132/Santri.V2i3.564

Mutmatimah, S., Khairunnas, & Khairunnisa. (2024). Metode Deep Learning Lstm Dalam Analisis Sentimen Aplikasi Pedulilindungi. Journal Of Computers Sciences And Informatics, 1(1), 9–19. Https://Doi.Org/10.34304/Scientific.V1i1.231

Othman, B., Weijun, H., Huang, Z., Xi, J., & Ramsey, T. (2020). Effect Of Service Quality On Service Value And Customer Retention For Clothing Store Brands In China. Tekstilec, 63(4), 242–255. Https://Doi.Org/10.14502/Tekstilec2020.64.242-255

Pramudya, E., Pradana, Tri Nugraha, J., Mukti, A., & Widyantoro, S. (2024). Analisis Service Quality Dengan Metode Csi Dan Ipa Terhadap Kepuasan Peserta. Innovative: Journal Of Social Science Research, 4, 1–15.

Putranta, Y. S. V., Rahayudi, B., & Purnomo, W. (2023). Analisis Sentimen Masyarakat Terhadap Kebijakan Penghapusan Subsidibbm Pada Media Sosial Twitter Menggunakan Algoritma Naive Bayesclassifier Dengan Ekstraksi Fitur N-Gram Tf-Idf. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 7(3), 1501–1510. Http://J-Ptiik.Ub.Ac.Id

Sukma Rukmana, & Wiwik Handayani. (2023). Analysis Of Service Science Design Through Customer Experience To Increase Posaja Application User Satisfaction. Kontigensi : Jurnal Ilmiah Manajemen, 11(2), 513–527. Https://Doi.Org/10.56457/Jimk.V11i2.402

Turjaman, R. M., & Budi, I. (2022). Analisis Sentimen Berbasis Aspek Marketing Mix Terhadap Ulasan Aplikasi Dompet Digital (Studi Kasus: Aplikasi Linkaja Pada Twitter). Jurnal Darma Agung, 30(2), 266. Https://Doi.Org/10.46930/Ojsuda.V30i2.1672

Varadisa, A. Q., & Kusuma, Y. B. (2024). Implementasi Marketing Mix Dalam Meningkatkan Brand Image.

Wardhani, P. A., Luqman, Y., & Noor, W. (2023). Sikap Media Detik.Com Terhadap Kebijakan Subsidi Tepat Sasaran Mypertamina. Interaksi Online, 11(4), 61–72.

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Published

28-06-2025

How to Cite

Pratama, R., & Handayani, W. (2025). Analysis Of Mypertamina Service Design To Improve Service Quality. JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES), 9(1), 065–071. https://doi.org/10.33751/jhss.v9i1.49