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Journal : Jurnal Transformatika

Evaluasi Perancangan Antarmuka untuk Membangun User Experience pada Layanan SInTA Universitas Kristen Duta Wacana Yogyakarta Neshia Aditya Santoso; Gloria Virginia; Budi Susanto
Jurnal Transformatika Vol 15, No 1 (2017): July 2017
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v15i1.458

Abstract

SInTA is a search engine developed by Duta Wacana Christian University (DWCU) to locate references of final task reports or thesis ever made by DWCU students.The existence and function of SInTA is not widely known by students. In addition, SInTA still require many improvements on feature and UI design to simplify the interaction between users and interface.This research use individual expert review approach to evaluate interface, whereas data divided into 6 User Experience measurement scales. The result of evaluation is User Experience recommendation which used to build prototype.Considering User Experience shall be created a prototype which should attract users, meet the needs of users, and satisfy the users. In this research, prototype has higher User Experience mean values rather than SInTA old interface, thereby the research be assessed as being successful.
PENERAPAN SENTIMENT ANALYSIS PADA HASIL EVALUASI DOSEN DENGAN METODE SUPPORT VECTOR MACHINE Valonia Inge Santoso; Gloria Virginia; Yuan Lukito
Jurnal Transformatika Vol 14, No 2 (2017): January 2017
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v14i2.439

Abstract

The quality of lectures can be determined by some feedbacks from students. From the feedbacks, we can give appreciations for those lectures who get good feedback from students, and evaluations for those who get bad feedback. The problem is classifying large size of feedbacks manually isn’t effective and took a lot of time. Therefore, we need a system that can classify feedbacks automatically. These feedbacks will be classified into positive, negative, and neutral, usually called as sentiment analysis. Sentiment analysis implementation can be done by several methods, one of them that has a good accuracy is Support Vector Machine (SVM). SVM performance in this research is measured with the level of accuracy. The number of accuracy indicate the success level of system. The conclusion of this research is factors that affects the accuracy. The factors are the range of each classes and number of unique words in the training document.
Semantic Web Seni Pertunjukan Indonesia Virginia, Gloria; Susanto, Budi; Proboyekti, Umi; Nugraha, Silvanus Satno
Jurnal Transformatika Vol. 19 No. 2 (2022): January 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i2.4327

Abstract

Documentation of performance arts is an effort of cultural heritage to maintain the dignity and nobility of a nation.   Semantic web is a promising alternative that support the objective.   From the user side, the website will be more informative, while from the technical side, the website has ontology (a well-defined formal knowledge which is highly potential to be related to other websites). This research is an effort to developed a performance arts ontology using Methontology method.   To enrich the ontology, two ontologies were merged .   Linked-data principal was implemented by the use of dbpedia.   The ontology was evaluated based on 4 parameters (consistency, completeness, verification, and validation) and proved to be effective while implemented in a website.