ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI INFO BMKG DENGAN METODE SUPPORT VECTOR MACHINE

SELVIANA, MARCELLANISA and Seprina, Iin (2025) ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI INFO BMKG DENGAN METODE SUPPORT VECTOR MACHINE. Undergraduate thesis, Sriwijaya University.

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Abstract

The advancement of information technology has driven the development of various mobile applications that facilitate the public in accessing information. One of the important applications in Indonesia is Info BMKG, which provides information related to weather, earthquakes, and climate from the Meteorology, Climatology, and Geophysics Agency (BMKG). Given its vital function, user reviews of this application become an important source of data in evaluating service quality. This study aims to analyze the sentiment of user reviews of the Info BMKG application on the Google Play Store to gain a deeper understanding of user perceptions. This research uses the Support Vector Machine (SVM) algorithm and the Cross Industry Standard Process for Data Mining (CRISP-DM) as the research framework. The data evaluation used K-Fold Cross Validation with parameter fold values of 2, 4, 6, 8, and 10. Based on the test results, the best accuracy was achieved at fold value = 10 with an accuracy of 83.54%, a positive precision of 88.20%, a negative precision of 79.90%, a positive recall of 77.45%, and a negative recall of 89.64%. The positive sentiment word cloud was dominated by words such as "earthquake," "help," "application," "weather," "information," "good," reflecting a positive perception of the application's accuracy and benefits. Meanwhile, words like "earthquake," "application," "update," "location," "notification," "weather" appeared in the negative sentiment, indicating areas that need improvement.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Info BMKG, Analisis Sentimen, Support Vector Machine (SVM), Google Play Store, CRISP-DM
Subjects:	T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control) T Technology > T Technology (General) > T58.6-58.62 Management information systems
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Marcellanisa Selviana
Date Deposited:	22 Jul 2025 06:40
Last Modified:	22 Jul 2025 06:40
URI:	http://repository.unsri.ac.id/id/eprint/179789

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