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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Variance : Journal of Statistics and Its Applications Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Intelligent Computing and Health Informatics (JICHI) Parameter: Journal of Statistics Journal Of Human And Education (JAHE) Journal of Learning Improvement and Lesson Study Journal of Data Insights Prosiding Seminar Nasional Unimus
Alwan Fadlurohman
Universitas Muhammadiyah Semarang
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Journal : Variance : Journal of Statistics and Its Applications

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CLASSIFICATION OF MYPERTAMINA APP REVIEWS USING SUPPORT VECTOR MACHINE Fadlurohman, Alwan; Yunanita, Novia; Rohim, Febrian Hikmah Nur; Wardani, Amelia Kusuma; Ningrum, Ariska Fitriyana
VARIANCE: Journal of Statistics and Its Applications Vol 6 No 2 (2024): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol6iss2page223-228

Abstract

Indonesia is rich in natural resources, including oil and gas, and it manages these strategic assets through state-owned enterprises, one of which is PT Pertamina. Pertamina is responsible for domestic fuel production, distribution, and price stabilization. To improve efficiency and transparency, Pertamina developed the MyPertamina application that enables cashless fuel purchases, stock monitoring, and up-to-date price information. The application aims to streamline distribution and control fuel prices, thus helping to stabilize the cost of goods and services. MyPertamina also ensures subsidized fuel distribution is more effective and targeted by identifying and verifying subsidy recipients, reducing the potential for abuse. A sentimental analysis of subsidized fuel user reviews using this application is needed to understand the public's views. This research uses the Support Vector Machine (SVM) method to analyze the sentiment of MyPertamina app reviews. This research produced a stable model. Out of 200 reviews, 190 were negative, and nine were positive, with an SVM model accuracy of 97%. Wordcloud visualization shows the words that appear frequently in each sentiment. Positive reviews appreciated the photo verification feature, easy payment, and good service. Negative reviews included verification difficulty, app error, and feature failure.
Co-Authors Albertus Dion Sarah Amalia Annisa, Nafida Amri, Saeful Amrullah, Setiawan Ariska Fitriyana Ningrum Ayu Nur Roosyidah, Nila Dannu Purwanto Dhani, Oktaviana Rahma Endang Tri Wahyuni Maharani Eny Winaryati Fatkhurokhman Fauzi Febi Anggun Lestari Febi Anggun Lestari Fitri Diana Musa Gautama, Rahmad Putra Ihsan Fathoni Amri Iksan, Zanaton Haji Indah Manfaati Nur M. Al Haris Oktaviana Rahma Dhani Prasetyawan Aji Sugiharto Prizka Rismawati Arum Rauf, Rose Amnah Abd Rochdi Wasono Rohim, Febrian Hikmah Nur Roosyidah, Nila Ayu Nur Tiani Wahyu Utami Wardani, Amelia Kusuma Yunanita, Novia Yusrin, Yusrin Zahra Aura Hisani