English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The student's final project which is held is an academic process carried out by universities as an practice of the tri dharma. The process carried out starting from data collection to the guidance process can be carried out quickly and efficiently. This research aims to produce a final project management system that facilitates the process starting from registration, the process of selecting supervisors, determining the title, making consultation sheets to the assessment process during the trial, besides that it is also a system that is able to predict students who take the final project. The method used to make predictions is the support vector machine (SVM), while the system development method used is Scrum. This method was chosen because of the short development process in producing quality software with low funding. This research produces a final assignment information system that can facilitate the administrative process of final project management based on the results of tests carried out using a catalon studio stating that with a pass status, so that the system created can be used, and the system used is able to predict the final project student graduation. predictions made using a support vector machine (SVM), it was found that the parameters that affect the on-time graduation of students were the number of meetings <= 50% did not pass the final project on time, and for guidance> = 51%, it was predicted that the final assignment would pass on time .

SISTEM PREDIKSI LULUS TEPAT WAKTU TUGAS AKHIR MAHASISWA MENGGUNAKAN SUPPORT VECTOR MACHINE (SVM)