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All Journal Telematika : Jurnal Informatika dan Teknologi Informasi Sistemasi: Jurnal Sistem Informasi
Fitri Novianti Hidayah
Universitas Pendidikan Indonesia
Computer Science & IT Electrical & Electronics Engineering

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Sentiment Analysis of the MyTelkomsel App based on Support Vector Machines: A Kernel Performance Comparison Fitri Novianti Hidayah; Endah Setyowati
Sistemasi: Jurnal Sistem Informasi Vol 15, No 5 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i5.6289

Abstract

MyTelkomsel is a customer service application developed by one of the largest cellular operators, with more than 100 million users. Due to the high volume of application users, sentiment analysis is essential for examining user opinions to optimize service quality. However, sentiment classification often faces challenges caused by imbalanced sentiment class distributions, which can affect model performance. This study analyzes sentiment toward the MyTelkomsel application using the Support Vector Machine (SVM) algorithm, focusing on evaluating the performance of Linear, RBF, and Polynomial kernels. The dataset consisted of 1,000 user reviews randomly collected from the Google Play Store, with positive and negative labels assigned based on the Indonesia Sentiment Lexicon (InSet). The dataset was divided into training and testing sets using an 80:20 ratio. The model development process was carried out using RapidMiner. The optimal performance was achieved by the Linear kernel through the implementation of the Synthetic Minority Over-sampling Technique (SMOTE) and K-Fold Cross Validation, resulting in an accuracy of 100%, precision of 100%, recall of 100%, and F1-score of 100%. These results indicate that the data can be effectively separated using a linear boundary. SMOTE was applied to address class imbalance in the dataset, while K-Fold Cross Validation (k = 10) was used to ensure the absence of overfitting by testing the entire dataset divided into 10 folds. The findings of this study can serve as a foundation for optimizing application services, enabling improvement strategies to be implemented in accordance with feedback derived from user reviews.
Analisis QOS dan Keamanan Jaringan Multi Region Menggunakan L2TP Tanpa IPSec di GNS3 Fitri Novianti Hidayah; Chairunisa Rahma Putri; Ichwan Nul Ichsan
Telematika Vol 23 No 2 (2026): Edisi Juni 2026
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v23i2.13811

Abstract

Purpose: VPN networks in multi-region scope have various challenges, such as in terms of Quality of Service (QoS) and security, especially when using the Layer 2 Tunneling Protocol (L2TP) protocol. This research aims to analyze the quality of QoS based on Telecommunications and Internet Protocol Harmonization Over Network (TIPHON) standardization in multi-region networks using the L2TP protocol without IPsec. Design/methodology/approach: Tests were conducted using experimental methods through the GNS3 simulator to simulate network topology and Wireshark to check QoS results, such as throughput, delay, and packet loss. Findings/result: Based on the test results, the throughput and packet loss values are obtained in a very good category, but for the delay value is in a very low category based on TIPHON standardization.
Co-Authors Chairunisa Rahma Putri Endah Setyowati Ichwan Nul Ichsan