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Journal : Jurnal Simantec

Penerapan analisis sentimen opini masyarakat terhadap ulasan aplikasi Grab pada google play store menggunakan Algoritma Naive Bayes Zadia, Bella Audrey; Lailiyah, Siti; Bustomi, Tommy
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29886

Abstract

This study aims to analyze public sentiment regarding reviews of the Grab application on the Google Play Store using the Multinomial Naive Bayes algorithm. The research process follows the KDD stages, starting from data selection, pre-processing, sentiment labeling, dataset splitting, model training, to performance evaluation. A total of 5,000 review data were collected through web scraping techniques and processed step by step using cleaning, normalization, tokenizing, stopword removal, and stemming methods. The developed Multinomial Naive Bayes model was able to classify review sentiments into positive, negative, and neutral categories with an accuracy of 69.6%. Precision and recall for negative and positive sentiments are relatively high, but the performance for neutral sentiment remains low due to imbalanced data distribution. The results of this study provide valuable insights for Grab developers to understand user perceptions and can serve as a basis for strategic decision-making to improve application service quality. Thus, Multinomial Naive Bayes has proven to be effective and efficient for sentiment analysis of Grab app reviews on the Google Play Store.Keywords: Sentiment Analysis, Multinomial Naive Bayes, Grab, Google Play Store, KDD
Penerapan teknologi blockchain berbasis smart contract untuk meningkatkan keamanan transaksi finansial online Wirayuda, Steven Aprianto; Lailiyah, Siti; Fajri, Ahmad
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29893

Abstract

The digital transformation in the financial sector demands a transaction system that is not only fast and efficient but also secure and transparent. This study explores the application of blockchain technology as a solution to the problems found in centralized online financial transaction systems that are vulnerable to manipulation. The objective of this research is to design a blockchain-based financial transaction security system architecture that can be evaluated through a conceptual simulation approach. This study uses a descriptive qualitative method with tools such as Ganache, MetaMask, and Remix IDE to simulate smart contract-based transactions within a local blockchain environment. The novelty of this research lies in the integration of a security system modeling approach with realistic scenario-based simulations, which is rarely discussed in previous studies. The research contributes by producing a modular system architecture that integrates key components—users, smart contracts, validators, and regulators—into a cohesive workflow applicable to various digital financial platforms. Simulation results show that the proposed system enhances security, accelerates transaction validation, strengthens auditability, and reduces operational costs compared to conventional transaction systems. This study provides a strong foundation for the broader development of blockchain-based financial systems that are more resistant to external attacks.Keywords: System Architecture, Blockchain, Transaction Security, Smart Contract, Simulation