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All Journal Indikator: Jurnal Ilmiah Manajemen & Bisnis RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Musamus Devotion Journal Journal of Geography Science and Education Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Capacitarea : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Sistem Informasi BroadComm RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi
Azzahra, Afifah
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Physics Social Sciences

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Journal : Jurnal Ilmiah Sistem Informasi

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ANALISIS SENTIMEN PEMAIN SUBWAY SURF MELALUI METODE NAIVE BAYES MENURUT ULASAN PLAY STORE Aditya, Putra; Azzahra, Afifah; Wijaya, Andri
Jurnal Ilmiah Sistem Informasi Vol. 3 No. 2 (2023): Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/sm.v3i2.51

Abstract

Subway Surf, an endless run arcade game, offers a dynamic experience and online competition that successfully attracts players. Although the majority of reviews on the Play Store were positive, some users expressed dissatisfaction with some aspects. This study uses the Naïve Bayes method to analyze the sentiment of reviews, with structured steps such as data collection, preprocessing, data sharing, model application, evaluation, and result interpretation. The predominance of positive sentiment in Figure 3 reflects player satisfaction, while negative sentiment highlights game progress issues and technical constraints. The Naïve Bayes classification model gave good results, with 86% and 79% precision for negative and positive classification, 78% and 86% recall, and an F1-score of 82%. The total accuracy reached 82%, indicating good predictive ability on the test dataset. Recommendations for future research include more in-depth analysis for user experience improvements, ensuring Subway Surf continues to maintain its appeal amidst growing player growth
LITERATUR REVIEW: EVALUASI PEMANFAATAN DATA WAREHOUSE DALAM TRANSFORMASI WAKTU Azzahra, Afifah; Aditya, Putra; Wijaya, Andri
Jurnal Ilmiah Sistem Informasi Vol. 3 No. 2 (2023): Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/sm.v3i2.52

Abstract

In today's digital era, data has a very important role for various organizations and industrial sectors. One of the technological solutions used to manage and analyze large amounts of data is a data warehouse. Covers the time period from 2018 to 2022. The research results show that the role of data warehouses is increasingly vital in various domains, including television editorial, sales, administration, education, health, agriculture and other sectors. There is potential for further research involving more Case studies in less explored areas, such as the environment, energy or transport
Co-Authors Aditya, Putra Andri Wijaya ARIEF BUDI PRATOMO Bimantara, Anugrah Dewi, Mafida Kumala Didin Mukodim Edy Prihantoro Hasanah, Herliyani Imran, Mohammad Kusumawati, Ike Lila Aprilia, Arlinda MS Khabibur Rahman Nafisah, Rosiana Almas Naoki Priyanto, Braverindo Ramadhani, Rizky Wulan Roslina Roslina, Roslina Soplanit, Alfaro Oktaviano Syaiful, Ido Tryas Chasbiandani Utomo, David Hario Zulfia Zahra, Kerin