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Evaluasi Pemahaman Siswa Dalam Proses Belajar Secara Online dengan Menggunakan Algoritma C5.0 Ade Priyatna; Sanwani
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 3 (2024): RESOLUSI January 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i3.1640

Abstract

Online learning is an educational process conducted through the internet. This is a new concept for students and requires adjustment. This method can impact student understanding, as each individual has a unique level of comprehension. This application was developed using the CRISP-DM methodology, which is an industry standard for data mining. Flowcharts are used to illustrate the process of creating applications and implementing algorithms, while DFDs are used to depict data flow. The data for this research was obtained from questionnaires distributed to 198 students. The research results show that the application implementing the C5.0 algorithm to determine the level of student understanding of online learning materials during the covid-19 pandemic has been successfully implemented and functions well, with a student understanding level of 60%. However, this figure is still considered low. Based on the decision tree results generated by the C5.0 algorithm, the communication attribute is the most influential factor in online learning. Therefore, to improve student understanding, an increase in multi-directional based learning is needed.
Penerapan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) dalam Penerimaan Siswa Baru Yeni Setiani; Sanwani Sanwani; Nurul Aini; Lidya Puspita Dewi; Mesran Mesran
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3417

Abstract

Acceptance of new students is a school activity that occurs every year, even in the middle of the teaching year. This activity is the first step to improve the quality of education, namely choosing the quality of students. In general, the process of admitting new students is still done manually, namely by recording student data and the student selection exam schedule to the student data that has been accepted. This is one of the problems every year that can hinder the work of teachers and even school staff. Therefore, we need the right system to be used in schools so that it can assist in the acceptance of new students. One system that is able to solve these problems is the Decision Support System (SPK). . SPK aims to provide information, guide, provide predictions and direct users of information so they can make better decisions. In implementing the SPK, ranking methods are used so that the results obtained are more effective, such as the Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) Method. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method where it is expected that the normalization process in calculating the value of new student admissions. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method is a method which has a calculation level using minimum calculations and is very simple and practical for applied to the system. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method has a high level of flexibility and convenience on separating the subjective part that comes from an assessment process into the decision weighting criteria using several decision-making attributes. The final result showed that Angga Rifai Zul Fiqri ranked first with a final preference score of 1.0522, which was the highest among all candidates.
IMPLEMENTASI DASHBOARD UNTUK BUSINESS INTELLIGENCE PADA PERUSAHAAN MIGAS MENGGUNAKAN OBIEE Sanwani Sanwani
INTI Nusa Mandiri Vol. 13 No. 2 (2019): INTI Periode Februari 2019
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v13i2.6

Abstract

Kebutuhan akan data dan informasi menjadi sangat penting dalam pengembangan software system yang berbasis teknologi, penggunaan data history dan data saat ini dapat diolah menjadi dashboard atau sebuah tampilan report yang menarik dan mudah dipahami oleh pengguna. Sebelumnya perusahaan migas di Jakarta ini untuk proses pembuatan dashboard masih manual menggunakan excel sebagai sumber data, generate data system maupun data manual bisa berupa file text dan csv file. Proses pembuatan dashboard dimulai dari analisis data, pengembangan menggunakan Database Oracle, Oracle Warehouse Builder (OWB), Oracle BI Repository dan Oracle Business Intelligence Enterprise Edition (OBIEE) kemudian tahap testing dan implementasi system. Dashboard akan membantu perusahan dalam pengembangan bisnis kedepan karena didalamnya memuat informasi mengenai tren penjualan sehingga akan mampu meningkatkan daya saing terhadap perusahaan lain, dengan adanya dashboard juga bisa memudahkan pengguna untuk melihat data history penjualan dari waktu ke waktu. Penelitian ini dilakukan pada perusahaan migas di Jakarta yang bertujuan untuk memberikan kemudahan kepada pengguna dengan dashboard atau report yang otomatis menggunakan system sehingga memudahkan pengguna untuk menganalisa dari hasil dashboard yang dihasilkan karena didalamya terdapat informasi detail dan umum mengenai performance perusahaan yang nantinya berguna dalam pengambilan keputusan.