Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)

Implementasi Finite State Automata pada Mesin Otomatis Es Krim Alda Zevana Putri Widodo; Windu Gata; Sri Rahayu; Jordy Lasmana Putra; Laela Kurniawati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.522

Abstract

Technology is increasingly developing to help various human activities. The application of technology that has a significant influence in the industrial sector is automatic machines. An automatic machine is a technology chain whose concept is to make manual activities automatic with the aim of carrying out production and making higher quality output. This study uses two methods, namely the analytical method by obtaining information from the relevant literature to analyze previously about the automatic ice cream machine and develop from the old version. The formal method is to analyze the operation of automatic machines starting from reading input to final completion to provide results from automatic machines and designing ice cream machine applications using visual studio applications. The results of this study have passed the JFLAP application testing and can be an option to analyze the automatic ice cream maker machine by recognizing the input patterns given by the user.
Sentimen Analisis Masyarakat Indonesia Terhadap Presiden Rusia Pada Komentar Media Berita Online Ihud Hafid; Windu Gata; Khairunisa Hilyati; Valianda Farradillah Hakim; Sri Rahayu
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 1 (2023): JANUARY-MARCH 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i1.698

Abstract

Russia's invasion of Ukraine was criticized by various parties, including from Indonesia. The attitude shown by the Indonesian government is not the same as the response of the Indonesian people based on various comments on online news media pages. Comments by online news readers are used as an assessment of the Russian President who is involved in the conflict between Russia and Ukraine in the form of sentiment analysis. This study succeeded in obtaining data as many as 352 comments from one of the online news media, the data had previously gone through the cleansing stage to eliminate duplication. To get basic information on comments, Text mining and Text Pre-Processing become an important part of the process. The algorithm used in this research is the Naive Bayes (NB) and Support Vector Machine (SVM) classification algorithm which is optimized using Particle Swarm Optimization (PSO). The two algorithms were tested and gave the result that PSO-based SVM got the best accuracy, which was 79.90% and AUC 0.901.