Peningkatan Performa Analisis Sentimen Dengan Resampling dan Hyperparameter pada Ulasan Aplikasi BNI Mobile

Wijanarto, Wijanarto; Brilianti, Seviana Pungki

doi:10.30864/eksplora.v9i2.333

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…Tuning model is a step to provide parameters to the model that has the highest accuracy based on datasets that have been searched for k-fold or cross validation values. The evaluation results of the tuning model are carried out with the GridsearchCV library from Python to select the best parameters [21]. It is a method to determine the optimal hyperparameters of a model which aids in higher accurate prediction.…”

Section: Tuning Modelmentioning

confidence: 99%

Sentiment Analysis Performance Value Optimization Using Hyperparamater Tunning With Grid Search On Shopee App Reviews

Muhammad Luthfi Al-Ghifari,

Ken Ditha Tania

2023

ijcs

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The rapid development of technology today has provided convenience for us in today's civilization. One of these developments is the invention of the internet due to high internet penetration and rapid growth in mobile usage, online shopping has increased tremendously. This online shopping is now often referred to as e-commerce. E-commerce is one of the trade models that has been widened under the effect of extensive use of technology. Specifically, e-commerce refers to the usage of the Internet or other networks. Shopee is one of the popular marketplaces in Indonesia that has the highest number of visitors of 129 million per month and can be downloaded on the Google Play Store. Play Store itself has several features such as Reviews that can allow users to give opinions. All complaints and opinions from shopee users can be channeled into this feature. With this a research aims to optimize the performance value of sentiment analysis with the Term Frequency-Inverse Document Frequency (TF-IDF) method and Hyperparameter Tuning with Gridsearch for the Shopee application on the Google Play Store. Based on research the reviews resulting in 3000 data where 2015 user data is positive and 985 data is negative. Testing data was split by a ratio of 90:10 for 300 data test in each classification model to find the accuracy score. With hyperparameter tuning using gridsearch we can see the result of each accuracy score of KNN, DCT, RF, and LR is increasing from 0.73 to 0.77, 0.823 to 0.826, 0.856 to 0.87, and 0.856 to 0.866. This indicated that among the machine learning model that had been tuning using gridsearch, KNN is the one that highly increased.

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Section: Tuning Modelmentioning

confidence: 99%

Sentiment Analysis Performance Value Optimization Using Hyperparamater Tunning With Grid Search On Shopee App Reviews

Muhammad Luthfi Al-Ghifari,

Ken Ditha Tania

2023

ijcs

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“…Penggunaan mobile banking di Indonesia terus meningkat seiring dengan peningkatan pengguna internet dan mobile banking yang naik hingga 300% sejak tahun 2016 hingga 2021 (Putri & Fahrozi, 2021). Menurut Bank Indonesia, jumlah pengguna mobile banking di Indonesia mencapai 146 juta pengguna pada akhir tahun 2020, naik dari 41 juta pengguna pada tahun 2016 (Wijanarto & Brilianti, 2020). Selain itu, mobile banking juga memberikan dampak positif bagi industri perbankan Indonesia, seperti meningkatkan efisiensi operasional bank dan meningkatkan pertumbuhan bisnis bank (Yudaruddin, 2020).…”

Section: Pendahuluanunclassified

Confirmatory factor analysis of digital skills on the use of mobile banking services in Subang district

Arsylia,

Giri

2023

JMSAB

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The research aimed to identify and validate the digital skills required to use mobile banking services in Subang Regency. The study used non-probability and purposive sampling techniques to survey 350 banking customers who use mobile banking services in the Subang Regency. The results of the digital skills factor analysis showed that the indicators of each latent variable, including operational mobile skills, information navigation skills, social skills, and creative skills, were valid and able to represent their respective constructs. However, the model fit value did not meet the criteria, indicating that modifications were necessary to obtain a fit model. This study provides a starting point for further research to explore the model using the Exploratory Factor Analysis (EFA) analysis method or make modifications using the Confirmatory Factor Analysis (CFA) method to obtain a fit model that can contribute as a medium to confirm relevant and valid factors representing their constructs

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“…Pentingnya penggunaan analisis sentimen tersebut dalam teknologi internet, tentu berakibat pula dalam peningkatan perkembangan analisis sentimen [20]. Seluruh bentuk teknologi internet seperti media sosial baik e-commerce, youtube, twitter, dll.…”

Section: Hasil Dan Pembahasanunclassified

Survey Paper tentang Analisis Sentimen

Walasary¹

2022

KONSTELASI

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Masyarakat pada zaman ini, mulai berkembang dengan Teknologi Internet. Teknologi internet merupakan kemajuan teknologi informasi yang sangat nyata dan berpengaruh besar dalam kehidupan sehari hari. Analisis Sentimen adalah salah satu teknologi internet yang berpengaruh dalam perkembangan teknologi internet dibidang social media. Analisis sentimen merupakan suatu Teknik pengekstrak data teks yang digunakan untuk memperoleh informasi. Terdapat beberapa tingkatan dalam Analisis Sentimen yang bertujuan untuk mengetahui positif dan negatif dalam penggunaan teknologi internet. Beberapa metode yang digunakan dalam melakukan analisis sentiment seperti Machine Learning dan Lexican Based Approach. Tujuan dari penelitian ini adalah diharapka dapat membantu masyarakat dalam menggunakan teknologi internet dengan baik dan efisien.

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Peningkatan Performa Analisis Sentimen Dengan Resampling dan Hyperparameter pada Ulasan Aplikasi BNI Mobile

Cited by 5 publications

References 6 publications

Sentiment Analysis Performance Value Optimization Using Hyperparamater Tunning With Grid Search On Shopee App Reviews

Sentiment Analysis Performance Value Optimization Using Hyperparamater Tunning With Grid Search On Shopee App Reviews

Confirmatory factor analysis of digital skills on the use of mobile banking services in Subang district

Survey Paper tentang Analisis Sentimen

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