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All Journal Informasi Interaktif Jurnal Sistem Informasi dan Teknologi Informasi
Adhien Kenya Anima Estetikha
Universitas AMIKOM Yogyakarta
Computer Science & IT Control & Systems Engineering Engineering

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IMPLEMENTASI SMOTE UNTUK MENGATASI IMBALANCED DATA PADA SENTIMEN ANALISIS SENTIMEN HOTEL DI NUSA TENGGARA BARAT DENGAN MENGGUNAKAN ALGORITMA SVM Erry Maricha Oki Nur Haryanto; Adhien Kenya Anima Estetikha; Rahmad Arif Setiawan
Informasi Interaktif Vol 7, No 1 (2022): Jurnal Informasi Interaktif Vol. 7 No. 1 Januari 2022
Publisher : Universitas Janabadra

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Abstract

The development of a digital platform that connects all tourism stakeholders in Indonesia has been widely applied, especially for lodging services. Dozens of inns with various facilities offered. The development of the world of machine learning has many researchers regarding sentiment analysis that can be associated with the phenomenon of the increasing tourism industry. Many tourists tend to be confused about finding a hotel or inn that suits what they want. One of them is by reading from the reviews of previous visitors. However, sometimes the many reviews create confusion for tourists. Sentiment analysis is an evaluation to determine a person's sentiments, emotions, expressions, and attitudes and usually uses a dataset in machine learning. This research is an analysis of the Support Vector Machine (SVM) algorithm: Sequential Minimal Optimization (SMO) with Synthetic Minority Over-Sampling Technique (SMOTE) for data classification given Sentiment Analysis dataset from reviews of hotel visitors in West Nusa Tenggara from the traveloka site and the collection process it uses scrapy. By applying the imbalance dataset handling method, it is hoped that a classification model with the SVM algorithm will be more accurate and able to handle biases in the classification results. The results of this study using the SVM algorithm without applying the Synthetic Minority Over-Sampling Technique (SMOTE) get an accuracy of 87.62% and the results using the SVM SMOTE algorithm get an accuracy of 87.99%Keywords: bias, imbalance dataset, SVM, SMOTE.
Penanganan Serangan Brute Force dan Port Scanning Pada Router Mikrotik Deden Hardan Gutama; Rahmad Arif Setiawan; Adhien Kenya Anima Estetikha
Jurnal Sistem Informasi dan Teknologi Informasi Vol 1 No 2 (2022): Jurnal Sistem Informasi dan Teknologi Informasi
Publisher : Himpunan Penggiat Teknologi Informasi Abrar Indonesia

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Abstract

In maintaining the integrity and validity of data, security on an agency's network is one of the urgencies that must be considered. In order to guarantee services that are always available to users. The systems used to detect intruders on a network in the 4.0 era are generally able to detect various types but have not been able to take preventive action, but from a user perspective, users really need information technology and this is one of the causes of security cases in Indonesia. a network is increasing every year where this happens because of the low concern of the organization on the security of a network. Therefore we need a system that is able to make it easier for network administrators to monitor network traffic with an Intrusion Prevention System (IPS).
Co-Authors Erry Maricha Oki Nur Haryanto Gutama, Deden Hardan Rahmad Arif Setiawan Rahmad Arif Setiawan