Analysis and Design of Decision Support System Dashboard for Predicting Student Graduation Time

Abstract

Information Systems is one of the existing study program at Telkom University that has produced many graduates since it was established in 2008. However, not all graduates produced successfully completed the study period during the four years of normal study. The percentage of graduates on time has some decline between the target and the achievement of the study program. From academic year 2014/2015 to 2016/2017 decrease annually about 1% every year, which is it becomes problems for the credibility and existence of study program and also for academic planners who may have an impact on accreditation assessment process of the study program when it is audited. One of the efforts that can be done by the study program to increase the students on time graduation rate is by making decision support system dashboard that giving early warning to the lecturer or the head of the study program if there are students who are predicted not to graduate on time. By using the C4.5 algorithm to perform the data analysis by looking at the causes of student's graduation time and pureshare methodology to perform dashboard development method. The result of this study is a prototype of decision support system dashboard, because there are lack of analysis in decision making and the dashboard only showing information and temporary prediction. The data model that used on this research is labeling data that has been processed using C4.5 algorithm and data that has been through data cleansing process using Pentaho Data Integration. This prototype is expected to be used as a reference base to support academic planners in order to make this application run with real time data.

Dominant Requirements for Student Graduation in the Faculty of Informatics using the C4.5 Algorithm

“…A popular algorithm for building decision trees that can be understood, flexible, and engaging because they can be displayed in the form of images. The steps in building a decision tree using the C4.5 Algorithm are as follows [17], [18]:…”

Pengembangan Sistem Dashboard untuk Mengevaluasi Platform E-Marketplace dengan Metode Scrum pada Startup GRAVIS

“…Ruiperez-Valiente et al, [7] menemukan bahwa guru dapat melakukan monitoring langsung murid mereka selama kelas sehingga penggunaan dashboard cukup penting untuk diimplementasikan. Wibowo et al, [8] menemukan bahwa penggunaan decision support system dashboard dapat memprediksi kelulusan mahasiswa menggunakan metode Pureshare. Saputra et al, [9] menemukan bahwa dashboard dapat digunakan untuk monitoring performa mahasiswa dengan menyediakan tampilan dashboard berbasis web yang dapat diakses oleh dosen sebagai indikator kinerja monitoring performa mahasiswa berbasis website.…”

“…Saputra et al, [9] menemukan bahwa dashboard dapat digunakan untuk monitoring performa mahasiswa dengan menyediakan tampilan dashboard berbasis web yang dapat diakses oleh dosen sebagai indikator kinerja monitoring performa mahasiswa berbasis website. Iqbal et al, [10] [7][8][9][10] telah membahas mengenai pembuatan dan pengembangan aplikasi dashboard berbasis website dan telah banyak mendiskusikan operasionalisasi dashboard dengan tujuan kinerja lembaga pendidikan. Berdasarkan penelitian yang pernah dilakukan, maka penelitian ini berupaya memfokuskan pada aspek selain pendidikan, yaitu pada perusahaan rintisan sehingga fokus pada komponen yang akan ditampilkan pada dashboard juga akan berbeda.…”