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All Journal JNANALOKA Journal of Computer Science and Informatics Engineering
Enda Putri Atika
Universitas Amikom Yogyakarta
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation Other

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Analisis Sentimen pada review hotel menggunakan metode pembobotan dan klasifikasi Aam Munir; Enda Putri Atika; Aziza Devita Indraswari
JNANALOKA Vol. 03 No. 01 Maret Tahun 2022
Publisher : Lentera Dua Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36802/jnanaloka.2022.v3-no1-33-38

Abstract

Globally, the tourism industry has an important role in the economic progress of a region or country. This development is assisted by the development of internet technology such as social media, tourism portal websites and others. The assessment of a hotel on the portal website can also affect the consumer's desire to choose the hotel or not. Sentiment analysis on reviews issued by consumers can be divided into positive reviews or negative reviews. Sentiment analysis starts from data retrieval, namely scrapping and then proceeds to the preprocessing process so that data is obtained that is ready for analysis. After the preprocessing process is carried out, it is continued with the weighting process. the weighting process uses three methods, namely Unigram, bigram and term frequency Inverse Document frequency. After the weighting process is carried out, the classification process is carried out using two methods, namely Naive Bayes and Support vector Machine. The result of the classification process is the highest accuracy obtained by the TF-IDf weighting method and the SVM method of 95% followed by the Unigram weighting method with the SVM method of 94%.
Optimizing FTP Server Performance Using the Locality-Based Least Connection (LBLC) Algorithm in a Scheduling Algorithm Balancing System Ahmad Ridwan; Pramawahyudi Pramawahyudi; Enda Putri Atika; Budi Bayu Murti; Muzakki Ahmad
Journal of Computer Science and Informatics Engineering Vol 5 No 3 (2026): July
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v5i3.1787

Abstract

A simultaneous increase in internet user traffic often causes servers to become overloaded, leading to disruptions, particularly on File Transfer Protocol (FTP) servers. A load-balancing system using Linux Virtual Servers is a solution for distributing traffic evenly. This study aims to analyze the performance of ten scheduling algorithms in a load-balancing system for File Transfer Protocol server applications with an Internet Protocol tunnel topology. The research method involves implementing a server cluster using the Debian operating system with one load-balancing server and two real servers. This topology allows the real servers to be located on geographically separate networks. Performance testing was conducted on ten different scheduling algorithms using five simultaneous clients, measuring response time and throughput using network analysis software. The test results showed that the Least Connections Based on Locality algorithm provided the most optimal performance compared to the other algorithms. The algorithm recorded the lowest average response time of 0.6066 seconds and the highest average throughput of 43 kilobits per second. These results are significantly better than those from tests without a load-balancing system, which yielded a response time of 2.7332 seconds. It can be concluded that the Least Connections Based on Locality algorithm is the most effective when applied to File Transfer Protocol servers with an Internet Protocol tunnel topology to improve network service quality.
Co-Authors Aam Munir Ahmad Ridwan Aziza Devita Indraswari Budi Bayu Murti Muzakki Ahmad Pramawahyudi Pramawahyudi