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Pemetaan Sasaran Marketing Calon Mahasiswa Baru UBHARA Jaya Menggunakan Algoritma C4.5 Putro , Efrianto Nugroho; Sari , Rafika
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/3yb0eh36

Abstract

Information technology developed by higher education institutions must be able to solve problems and be the right solution for the effectiveness of the performance of a higher education institution. One of them is in predicting the acceptance of prospective new students which is an important process to test how much public interest is in becoming a student on a campus. In this study, a predictive model was built using a data mining approach. The purpose of this study is to show predictions of the acceptance of prospective new students regarding the attractiveness of prospective students at Bhayangkara Jakarta Raya University (Ubhara) when viewed from the location data of the prospective student's school of origin. So that Ubhara can adjust his marketing strategy in introducing the Ubhara to prospective students. This study uses a dataset of prospective new students who registered at Ubhara in 2019 and 2020 and selected 50 datasets as samples and applied data mining techniques using the C.45 algorithm. Data mining techniques are built through Python programming using the stages of data selection, checking for missing data values ​​and data transformation. The results of this study are used as an evaluation and recommendation for marketing using a confusion matrix, an accuracy rate of 60% is obtained. This can be improved by using more datasets.
Pelatihan Pembuatan Media Pembelajaran Interaktif Bentuk Presenter-View-Recorder dan Mentimeter Sari , Rafika; herlawati, herlawati; Khasanah, Fata Nidaul; Atika, Prima Dina
Jurnal Pengabdian kepada Masyarakat UBJ Vol. 4 No. 3 (2021): Special Issue (December 2021)
Publisher : Lembaga Penelitian Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/et7p8v44

Abstract

During the Covid-19 pandemic, most educators used social media to deliver learning material files without verbal explanation, unlike face-to-face learning in class. Through these limited facilities, it has an effect between teachers and students experiencing interaction problems which can be used as a benchmark for the absorption of the material provided by the teacher and understanding of the material for students. Based on this problem, we took the initiative to make community service activities by providing training on the use of the Powerpoint Presenter-View-Recorder and Interactive Mentimeter applications as interaction media in online learning, which are still rarely used by teachers, especially at SMPN 264 Jakarta. The implementation of this training program aims to provide breakthroughs in teaching. Students are expected not to be bored while participating in learning activities. The innovation used is by optimizing the Powerpoint application in the form of Presenter-View-Recorder as well as using the Interactive Mentimeter application and directly uploading learning videos that have been made to the Google Classroom application and Youtube social media.