Pada Google Play Store, pengguna sering membaca review pengguna lain dan reputasi aplikasi, sebelum mengunduh sebuah aplikasi. Hal ini membuat analisis review pengguna sangat menarik bagi pemilik aplikasi untuk mengambil keputusan di masa depan. Penelitian ini bertujuan menganalisis review pengguna aplikasi Grab pada Google Play Store, menggunakan analisis sentimen. analisis review pengguna ini menggunakan metode Support Vector Machine (SVM). Evaluasi yang diusulkan dilakukan pada lebih dari 1.000 review pengguna yang dikumpulkan dari aplikasi Grab Indonesia di Google play store. Hasil dari analisis menggunakan Support Vector Machine menghasilkan akurasi 85,54% dan Hasil Review positif yang paling sering diulas adalah ”ovo”, sedangkan review negatif yang paling sering diulas adalah “driver”.
President Joko Widodo decided to move the capital city of the country outside Java. The relocation of the capital city is contained in the 2020-2024 National Medium-Term Development Plan. Community response to this has been mixed through national television and social media, especially Twitter. The tendency of Twitter users to respond to the government discourse can be seen with sentiment analysis. Sentiment analysis is one of the areas of Natural Language Processing (NLP) that builds systems for recognizing and extracting opinions. In this study, the Feature Selection PSO algorithm in the classification of the SVM model is proposed to improve the resulting accuracy in the sentiment analysis of moving capital cities. Experiments on the data of 1,319 tweets (457 positive sentiments and 862 negative sentiments) indicate an increase in accuracy by 2.09% from 79.06% to 81.15%, with the classification category is “Good Classification”.
The purpose of this study was to determine the level of capability at the Office of the Central Statistics Agency in Banyumas. Evaluate to find out how well the information system governance can operate at BPS that applies it to improve future performance. After evaluating, it is hoped that BPS will be able to produce higher-quality data because the government will use this data as a foundation for future development and as an evaluation of the results of development that have been carried out. The methodology used is a literature study, observation, interview, questionnaire and documentation by COBIT 5. The results achieved that the current BPS capability level is 3.25, which means it is at level 3 (established process). By being at level 3, BPS Office information system governance has been running well and has been able to achieve competitive and efficient business objectives of the agency in the use of information systems.
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