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All Journal International Journal of Artificial Intelligence Research Innovative: Journal Of Social Science Research
Hardiansyah, Deni
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The Classification Method is Used for Sentiment Analysis in My Telkomsel Hardiansyah, Deni; Aziz, RZ Abdul; Hasibuan, Muhammad Said
International Journal of Artificial Intelligence Research Vol 8, No 2 (2024): December 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i2.1229

Abstract

User reviews significantly impact how mobile apps are perceived and provide developers with valuable insights into improving the functionality and quality of their products. Sentiment analysis of these evaluations helps identify the main issues faced by consumers, such as technical difficulties, costs, and service levels. The main objective of this study is to classify user sentiment into positive and negative categories, focusing on the MyTelkomsel app. With the use of Google Play Scraper, 39,493 reviews on various app versions and user experiences were collected. This data was analyzed using multiple machine learning models, including Support Vector Machines (SVM), Naive Bayes, Random Forest, and Gradient Boosting, alongside the Natural Language Processing (NLP) approach. The results show that 39.2% of the reviews are positive, while 60.8% reflect negative sentiment. Among the models, SVM showed the highest accuracy in sentiment classification with a value of (0.854792), while Naive Bayes (0.775541), Random Forest (0.829725), and Gradient Boosting (0.819344) also performed well in sentiment classification. These findings suggest that developers can leverage the insights gained from this analysis to proactively improve the performance and user experience of the MyTelkomsel app, by addressing technical and service-related issues identified in user reviews.
Analisis Dan Perancangan Sistem Informasi Kepegawaian Di PT. Halim Industri Beton Ringan Berbasis Desktop Hardiansyah, Deni; Putra, Aldi Pratama; Karsono, Karsono
Innovative: Journal Of Social Science Research Vol. 3 No. 5 (2023): Innovative: Journal of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

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Abstract

Teknologi komputer saat ini telah berkembang pesat sesuai dengan perkembangan zaman. Sehingga kegunaan komputer juga berkembang pada berbagai bidang kehidupan manusia mulai dari pendidikan, hiburan, sampai kepada bidang bisnis. Pada saat ini, Sistem kepegawaian yang berjalan masih dilakukan secara manual, dengan melibatkan arsip pegawai untuk input data dan laporan yang harus disimpan pada saat proses penerimaannya, sehingga membutuhkan waktu dalam prosesnya. Melihat kenyataan itu, penulis mencoba membantu untuk mengatasi masalah tersebut dengan cara membuat sistem yang masih manual menjadi sistem yang sudah terkomputerisasi untuk mempermudah proses input, edit, maupun penyimpanan data. PT. Halim Industri Beton Ringan khususnya pada bagian personalia dan umum membutuhkan suatu sistem informasi yang menunjang dan memberikan kemudahan bagi user. Untuk itulah penulis mencoba membuat Skripsi tentang Perancangan Sistem Informasi Kepegawaian di PT. Halim Industri Beton Ringan Berbasis Dekstop dengan Menggunakan Microsoft Visual Studio 2008. Maka dari itu dengan perancangan program ini tentu akan lebih baik dari sistem manual dan berjalan lebih efektif dan efisien.
Co-Authors Aziz, RZ. Abdul Karsono Karsono M Said Hasibuan Putra, Aldi Pratama