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All Journal Jurnal Eksplora Informatika Jurnal Teknik Informatika UNIKA Santo Thomas ARRUS Journal of Engineering and Technology Jurnal Teknik Informatika Unika Santo Thomas (JTIUST)
Putra, I Made Agus Wirahadi
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science

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Journal : Jurnal Teknik Informatika UNIKA Santo Thomas

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Implementasi keamanan informasi file dokumen shipping menggunakan algoritma AES Shipping Dharmendra, I Komang; Januhari, Ni Nym Utami; Ramayasa, I Putu; Putra, I Made Agus Wirahadi
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 1 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v7i1.1748

Abstract

Opinion is an important part of decision making, so it takes the ability to get information from opinions. Sentiment Analysis is a branch of science from Text mining that can be used for opinion analysis in the form of text to classify opinions into 3 types of opinions, namely positive opinions, neutral opinions and negative opinions. Support Vector Machine (SVM) is one method that is widely applied for text mining because it is able to show good performance (Styawati and Mustofa, 2019). SVM works with a learning system that uses a hypothetical space in the form of linear functions in a high-dimensional feature space. Maximum Entropy is a probabilistic classification algorithm that belongs to the class of exponential models, which is based on the principle of Maximum Entropy. Maximum Entropy can be used to solve text classification problems such as Language detection, topic classification, and sentiment analysis. Sentiment analysis was tested using the Support Vector Machine (SVM) and Maximum Entropy methods to test the accuracy of each method in analyzing the sentiments of college alumni opinions. from the test results show Maximum Entropy has a better level of accuracy with the results of 95.45%
Visualisasi Data Opini Publik pada Media Sosial Twitter (Studi Kasus : Nusantara Sebagai IKN Indonesia) Dharmendra, Komang; Januhari, Ni Nym Utami; Diaz, Ricky Aurelius Nurtanto; Ramayasa, I Putu; Putra, I Made Agus Wirahadi
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 2 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

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Abstract

The capital city has an important role for various aspects of government, the capital city has a function as the center of political power and the economy of a country. In the process, sometimes the head of government of a country moves the capital of the country, either moving it to an existing city or building a new city that was built specifically to become the capital of the country. Like what Indonesia did, which planned to move the country's capital, which was previously in Jakarta, moved to East Kalimantan and built a new city to become the nation's capital with the name Nusantara. The relocation of the capital city was carried out to divide the economic center and the government center which were previously centered in Jakarta into an economic center in Jakarta and a government center in the archipelago. The announcement of the name of Indonesia's new capital city received reactions from the public, with various written opinions being shared through social media. One of the social media channels that is widely used is Twitter. With so many public responses through social media, a process is needed to find out how to respond and form of expression for the announcement of the name of the capital city of the archipelago. One of the processes that can be done is to visualize tweets containing the word "Nusantara" which collected 83604 tweets using data on the number of tweets, posting hours, hashtags that can find out how the public responds to the announcement of the state capital "Nusantara"..
Co-Authors ABDI SUDIATMIKA, I PUTU GEDE dharmendra, komang I Komang Dharmendra I Made Budi Adnyana, I Made Budi I Putu Ramayasa, I Putu Ni Luh Gede Pivin Suwirmayanti, S.Kom, MT, Ni Luh Gede Pivin Ni Nyoman Utami Januhari, Ni Nyoman Ricky Aurelius Nutanto Diaz, Ricky Aurelius Seneng, I Kadek