Aisah Rini Susanti
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Analisis Waktu dan Lokasi Klasifikasi Sentimen Twitter Terhadap Kinerja Layanan Provider Telekomunikasi Menggunakan Naïve Bayes Aisah Rini Susanti; Ananda Alfiah; Muhammad Isa Firdaus; M Riziq Sirfatullah Alfarizi
EduInovasi:  Journal of Basic Educational Studies Vol. 4 No. 3 (2024): EduInovasi:  Journal of Basic Educational Studies
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/edu.v4i3.5989

Abstract

Telecommunications users in Indonesia continue to grow rapidly from year to year. Along with the public's increasing need for communication, whether via SMS, telephone or data services, there is competition among telecommunications providers to attract or retain customers. Customer Opinion shows the level of service quality provided by the provider. Various opinions expressed by customers about telecommunications providers can be known through the social media Twitter. Twitter as a type of microblogging that produces raw data that can overwhelm its users, one solution to this problem is to classify raw data. The Naïve Bayes method can handle text or documents. The documents used in this research are comments from Twitter users. The Naïve Bayes method was chosen because of its ability to handle large text data with sufficient accuracy and an efficient computational process (Aggarwal & Zhai, 2012). It is hoped that the results of this analysis will provide insight for telecommunications providers in improving the quality of their services in accordance with user needs and expectations (Smith et al., 2023). This research uses techniques to categorize customer sentiment opinions towards telecommunications providers in terms of time and location in Indonesia. Sentiment analysis only includes positive, negative and neutral classes. The expected benefit in this research is that telecommunications providers can evaluate performance and services based on time and location to achieve customer satisfaction from various complaints faced, as well as build more effective communication strategies.
The Use of Gamification in E-Learning to Enhance TOEIC Learning Motivation Feri Nugroho; Susi Maulidiah; Indra Satriadi; Aisah Rini Susanti; Desta Ria Erika; Maivi Kusnandar; Yulia Hapsari
Jurnal Sistem Informasi (JASISFO) Vol. 6 No. 2 (2025): September
Publisher : Politeknik Negeri Sriwijaya

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Abstract

Gamifikasi telah muncul sebagai strategi ampuh untuk meningkatkan motivasi, keterlibatan, dan kinerja pelajar dalam lingkungan pembelajaran digital. Studi ini menerapkan kerangka kerja Gamifikasi Marczewski, yang menekankan tipe pengguna Achiever, untuk mengembangkan dan mengevaluasi platform persiapan TOEIC berbasis gamifikasi. Sistem ini menggabungkan poin pengalaman (XP), level, dan papan peringkat untuk mendorong kemajuan, menggunakan desain penelitian dan pengembangan. Sebanyak 120 responden berpartisipasi dalam implementasi percontohan, dan persepsi mereka diukur menggunakan kuesioner skala Likert yang menilai motivasi intrinsik dan ekstrinsik, keterlibatan pengguna, dan kepuasan. Statistik deskriptif menunjukkan tingkat motivasi intrinsik (M = 4,42, SD = 0,63) dan ekstrinsik (M = 4,47, SD = 0,49) yang tinggi, serta kepuasan pengguna (M = 4,80, SD = 0,46) dan keterlibatan (M = 4,15, SD = 0,71). Analisis statistik mengonfirmasi peningkatan signifikan pada semua indikator (p<0,05). Analisis data log menunjukkan bahwa 95% pengguna mencapai Level 11 atau lebih tinggi, dengan 90% menyelesaikan semua 12 level. Pembaruan pada papan peringkat menunjukkan lonjakan aktivitas, yang menunjukkan bahwa penambahan elemen kompetitif mempertahankan keterlibatan pengguna. Temuan ini menggarisbawahi potensi gamifikasi yang disesuaikan untuk mengoptimalkan persiapan TOEIC.