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All Journal SOSIOHUMANIORA: Jurnal Ilmiah Ilmu Sosial dan Humaniora Journal of Innovation in Business and Economics Studi Kasus Inovasi Ekonomi Jurnal Manajemen Bisnis Altruis: Journal of Community Services Jurnal Ilmu Manajemen Terapan (JIMT) J-Lalite: Journal of English Studies Jurnal Manajemen Bisnis dan Kewirausahaan Journal of Language Development and Linguistics Dharma Pengabdian Perguruan Tinggi (DEPATI) Frasa: English Education and Literature Journal Lokawati: Jurnal Penelitian Manajemen dan Inovasi Riset Business Innovation Management and Entrepreneurship Journal
Rahmad Wijaya
Universitas Muhammadiyah Malang
Arts Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Journal : SOSIOHUMANIORA: Jurnal Ilmiah Ilmu Sosial dan Humaniora

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Attitudes and graduation in play store's review about Mobile Legend: Bang-Bang Wijaya, Rahmaditya Khadifa Abdul Rozzaq; Setyowati, Ratini; Winarti, Winarti; Hidayatulloh, Aris; Ayiz, Abdul
SOSIOHUMANIORA: Jurnal Ilmiah Ilmu Sosial dan Humaniora Vol 10 No 2 (2024): August 2024
Publisher : LP2M Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/sosio.v10i2.16947

Abstract

This research is descriptive qualitative research. This research aims to describe the Attitude System and Graduation System that appear in reviews of Mobile Legend on the Play Store platform. The data in this research are utterances containing the Attitude System and Graduation System. The data source for this research was taken from reviews on the Play Store's Review of Mobile Legend: Bang-bang. Next, the data collection technique uses content analysis. Then, data analysis techniques use domain analysis, taxonomic analysis and componential analysis. In this research, researchers found 157 appreciation data, 115 judgment data, and 99 affect data. In conclusion, from all the data, appreciation data is the highest data. This is because reviewers evaluate the mechanical elements in the game more. For example, matchmaking, bugs / lag, reward system, season changes, and so on.  
Co-Authors Abdul Ayiz Andharani, Sri Nastiti Aulia, Yasmin Rachma Baroya Mila Shanty Bataiv, Misbah Faturrahman Dewi Nurjannah Eka Kadharpa Utama Dewayani Fauziah Fauziah Fira Ibialty Kreatitin Hanafi Wibowo Herman Budiyono Hidayatulloh, Aris Iin Aulia Fitri Joko Susilo Kamaluddin, Ahnaf Dzaky Koko Endro Prasetiyo Leila Dwi Adzani Sukma M. Nurul Humaidi Marsudi Marsudi Marsudi Marsudi Marsudi Muhammad Zulfikar Muhammad Zulfiqar Mahmud Nabila, Jihan Nasriah Akil NOPENDRA Pratondo, Kalistya Rizki Ratini Setyowati Rinaldy Achmad Roberth Fathoni Sri Nastiti Andharini Sudinpreeda, Hakim Suratno Suratno Tia Amelia Dini Nadia Wardhani, Evi Murti WIDAYAT - Wijaya Heru Santoso, Wijaya Heru Winarti Winarti Wiwin Arifin Yoyok Bekti Prasetyo Yulist Rima Fiandari Yulist Rima Fiandari Zuhron, Aziz Miftahuz