Gormantara, Alfredo
Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

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Journal : TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi

Perancangan Sistem Tata Kelola Keuangan Berbasis Anggaran Universitas Atma Jaya Makassar Gormantara, Alfredo
TEMATIKA, Journal of Informatics and Information Systems Vol 5, No 2 (2017)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This thesis focuses on the development of financial management system of budgeting and financing that is integrated and connected. To achieve these objectives, it is necessary to develop to integrate previously created systems into one large and integrated system part so that systems that can support the budgeting, financing and management processes of university finance that include the principles of SNPT are accountability and transparency. The authors hope the financial system of budgeting and financing can help to manage finance, budgeting and financing are integrated and comprehensive and provide transparency in financial management at Atma Jaya University of Makassar. Keywords: : Accountability, Finance, Management, Transparency, University.
Visualization System For Sentiment Analysis Using Textblob On Twitter Alfredo Gormantara
TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi TEMATIKA Volume 9 Nomor 1 (Maret 2021)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35129/tematika.v9i1.116

Abstract

Sentiment analysis is the classification of texts in several categories, usually positive, negative, happy or sad. In recent years, this technique has been used to analyze online product reviews, online news, general elections, disasters, stock markets, and social media, especially twitter. The results of the sentiment analysis can be used as one of the decisions making considerations. In helping to analyze the results of sentiments, visual analytics are used that can help to navigate data, compare various data sets, and explore data distribution. This research aims to analyze sentiment in Bahasa Indonesia using Tweepy and TextBlob as a python library to access and classify Tweets and with the help of visual analytics to explore and observe the distribution of Tweets based on geographical location, especially in provinces in Indonesia. In addition, this research also provides a comparison of the results of the validation of TextBlob using the Naïve Bayes and SVM algorithms with the results of each accuracy of 62.26% and 69.18% which are higher accuracy compared to SentiWordNet.
Klasifikasi Kategori Dan Pelabelan Berita Bahasa Indonesia Menggunakan Mutual Information Dan K-Nearest Neighbors Alfredo Gormantara; Dominikus Boli Watomakin
TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi TEMATIKA Volume 8 Nomor 2 (September 2020)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35129/tematika.v8i2.109

Abstract

Along with the increasing development of the internet, the growth of textual information on the internet continues to increase. Increased dissemination of information causes the news released every day to increase. The large number of news, especially those in online media, raises problems in categorizing existing news topics. So we need a system that can categorize every news topic that is in online media and also labeling sentiment on a news. This aims to be able to monitor a situation such as political, social or economic from online news by utilizing classifications and also sentiment labeling so that it can predict steps that can be taken in the future. The method used in this research is feature selection and the KNN classification algorithm with Manhattan distance. In this study, there are two main functions of the system, namely news categorization and also news sentiment labeling. The research stages began with data collection, preprocessing, mutual information feature selection and classification. The results of this study show positive results because it can recognize news categorization and news sentiment labeling.
Perancangan Sistem Tata Kelola Keuangan Berbasis Anggaran Universitas Atma Jaya Makassar Alfredo Gormantara
TEMATIKA: Jurnal Penelitian Teknik Informatika dan Sistem Informasi TEMATIKA Volume 5 Nomor 2 (September 2017)
Publisher : Fakultas Teknologi Informasi, Universitas Atma Jaya Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This thesis focuses on the development of financial management system of budgeting and financing that is integrated and connected. To achieve these objectives, it is necessary to develop to integrate previously created systems into one large and integrated system part so that systems that can support the budgeting, financing and management processes of university finance that include the principles of SNPT are accountability and transparency. The authors hope the financial system of budgeting and financing can help to manage finance, budgeting and financing are integrated and comprehensive and provide transparency in financial management at Atma Jaya University of Makassar.