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All Journal PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Pengabdian Dharma Laksana MULTINETICS Jurnal Abdimas Mandiri G-Tech : Jurnal Teknologi Terapan Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Sistem Informasi Jurnal AbdiMas Nusa Mandiri Mitra Akademia: Jurnal Pengabdian Masyarakat Jurnal Media Informatika Transformasi Jurnal Teknologi Sistem Informasi Jurnal Komtekinfo Tensile : Jurnal Pengabdian Kepada Masyarakat SmartComp Journal Information & Computer (JICOM) Jurnal Komtika (Komputasi dan Informatika)
Arip Kristiyanto
Universitas Pamulang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Transportation Other

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Journal : Transformasi

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SENTIMEN ANALISIS ULASAN PENGGUNA GOJEK MENGGUNAKAN ALGORITMA MACHINE LEARNING SUPPORT VECTOR MACHINE Sandiva, Tesa Vausia; Kristiyanto, Arip; Sandi, Leo
TRANSFORMASI Vol 21, No 2 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i2.472

Abstract

The development of digital technology has brought significant changes to various sectors of life, including the transportation sector. One popular mode of transportation among the public is online motorcycle taxis, such as Gojek. Gojek continues to innovate to meet customer needs more effectively and expand its service coverage. This study aims to identify the number of positive, neutral, and negative sentiments in a user review dataset, as well as evaluate the performance of the SVM algorithm used. The analysis was conducted on 10,000 customer reviews from the Play Store application, resulting in 2,057 positive sentiments, 1,135 neutral sentiments, and 6,295 negative sentiments. The classification model employed, namely SVM, achieved an accuracy of 89% and an F1-score of 90%.
Co-Authors Agus Suharto, Agus Andi Romansyah Andi Romansyah Andriansah, Zulfi Angga Pramadjaya Angga Pramadjaya Anwar, Aep Saepul Asep Suryadi Bidani, Maariful Bima Fani Dwi Putranto Dekananta, Dhimas Fadilah, Muhamad Yudi Fajar Malkan Fari Katul Fikriah Febri Setiawan, Billy Fitriyanah, Nur Helen Safitri Hellen Safitri Ikhsan, Novian Imam Ahmad Imam Slamet Inkiriwang, Rully Istiqomah Rohmawati Leo Sandi Madani, Natasya Insanu Muhamad Yudi Fadilah Mulyana Mulyana Mumu Nazmudin Ningsih, Listina Nadhia Nissa, Ika Ima Nurhayati Nurillah, Siti Maryam Pramadjaya, Angga Qomaruzzaman, Jajang Rahayu Mawadatur Rohmah Rahmawati, Iroh Robani, Rojul Rohmawati, Iroh Romansyah, Andi Rully Inkiriwang Safitri, Helen Safitri, Helen Safitri Safitri, Hellen Selly Septiani Selly Septiani Setiawan, Billy Febri Sonia Stevanes Stevanes Stevanes Supiah, Raihan Azzahra Supriyadi, Dede Tesa Vausia Sandiva Tiara Lestari Zahra, Febraurayani Zulfi Andriansah