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All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Teknik Komputer AMIK BSI Bina Insani ICT Journal Informatics for Educators and Professional : Journal of Informatics Jurnal Riset Informatika Journal of Students‘ Research in Computer Science (JSRCS) Akasia: Artikel Ilmiah Sistem Informasi Akuntansi Reputasi: Jurnal Rekayasa Perangkat Lunak Indonesian Journal Computer Science (ijcs) Jurnal Semesta Ilmu Manajemen dan Ekonomi Bianglala Informatika
Dahlia Dahlia
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Social Sciences Other

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Analisis Sentimen Ulasan Aplikasi Shopee Food Driver Di Playstore Menggunakan Algoritma Multinomial Naïve Bayes Endah Wiji Lestari; Dahlia Dahlia; Nuraeni Herlinawati; Farhan Ramadhan
Bianglala Informatika Vol. 14 No. 1 (2026): Maret 2026
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/bianglala.v14i1.12410

Abstract

Online food delivery services such as ShopeeFood are a practical solution for modern society in fulfilling culinary needs without having to leave the house. However, from the driver's perspective, using the ShopeeFood Driver application is not free from technical challenges and limited features that impact job satisfaction. This study aims to analyze user review sentiments for the ShopeeFood Driver application using the Multinomial Naïve Bayes algorithm. Data were collected through web scraping techniques from the Google Play Store and the data used were 2000 user reviews collected from May to June 2025. The analysis process involved the stages of text preprocessing, data labeling, TF-IDF weighting, classification, and model evaluation. The classification results showed an accuracy of (82.35%), precision (81.76%), recall (82.35%), and an F1-score of 83.36%, indicating excellent model performance in identifying sentiment. These findings provide important insights for application developers in responding to user reviews more effectively and strategically. This research is expected to contribute to the development of more relevant features and improving the quality of digital services in the online transportation sector.
Analisis Kepuasan Pengguna Game Online Mobile Legend Menggunakan Metode Technology Acceptance Model (TAM) Elza Susana Tupamahu; Leliyanah Leliyanah; Dahlia
Journal of Students‘ Research in Computer Science Vol. 5 No. 1 (2024): Mei 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/32521n61

Abstract

Playing online games has become a common activity in society. Mobile Legends is an online game application that is equipped with various component features. The focus of the research is to understand the perception of ease, usefulness, desires and attitudes of users towards the Mobile Legends application. The research method is the Technology Acceptance Model (TAM) and the variables measured include perceived ease of use, perceived usefulness, user desires (Behavioral Intention To Use) and attitude towards use. The results of the research show a partial hypothesis test using the t test, it was found that perceived convenience had no effect but perceived usefulness and user desires had an effect on attitudes towards use. In testing the hypothesis simultaneously through the F and R-Square tests, it was revealed that perceived convenience, perceived usefulness and user desires contributed 62.1% to the formation of usage attitudes.
MEASURING SATISFACTION USER WEBSITE WWW.QOO10.CO.ID USING DELONE AND MCLEAN MODELS Yuyun Yuningsih; Ari Puspita; Dahlia Dahlia
Jurnal Riset Informatika Vol. 2 No. 3 (2020): June 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i3.110

Abstract

The research to measure customer satisfaction with the use of a product or service sold on online shopping sites that can meet their needs as expected. The research method used in this study is a survey method, the authors distribute questionnaires to men or women aged 17-40 years who have already or frequently shop online through the website www.qoo10.co.id. This research uses Delone and McLean models and is assisted with AMOS (Analysis of Moment Structure) software. Delone and McLean models can facilitate researchers in determining the variables that affect measuring website user satisfaction. the results of this study are in the form of a chart that concludes that the quality of the information system influences user satisfaction. The quality of the system affects the user, user satisfaction affects the user, and usage influences the benefits of the web www.Qoo10.co.id with the value of Chi-Square 7.015 and a Probability value of 0.83.
Co-Authors Anggi Hardiansyah Ari Puspita Atang Saepudin Devi Pebriana Alawiyah Eka Fitriani Elza Susana Tupamahu Endah Wiji Lestari Endah Wiji Lestari Lestari Endang Puji Astuti Farhan Ramadhan Ganda Wijaya Leliyanah Leliyanah Lia Mazia, Lia Lutfi Hidayat Muhamad Fajar Assidiq Assidiq Nuraeni Herlinawati Nurlina Sari Riska Aryanti Saridawati Shasa Puja Amritha Siti Juleha Suci Indah Permatasari Umi Khultsum Umniati Afifah Verry Riyanto Yuyun Yuningsih