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Decision Support System Design for Informatics Student Final Projects Using C4.5 Algorithm Rafika Sari; Hasan Fatoni; Khairunnisa Fadhilla Ramdhania
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 11 No 1 (2023): March 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i1.5954

Abstract

Academic consultation activities between students and academic supervisors are necessary to help students carry out academic activities. Based on the transcript of grades obtained, many students do not choose the appropriate final project/thesis specialization fields based on their academic abilities, resulting in a lot of inconsistencies between the course grades and the final project specialization fields. The purpose of this research is to minimize the subjectivity aspect of students in choosing their final project academic supervisors and minimize the inconsistencies between the course grades and the final project specialization fields. The method used in this research is classification data mining using the Decision Tree and C4.5 Algorithm methods, with the attributes involved being courses, course grades, and specialization courses. The C4.5 Decision Tree algorithm is used to transform data (tables) into a tree model and then convert the tree model into rules. The implementation of the C4.5 Decision Tree algorithm in the specialization field decision support system has been successfully carried out, with an accuracy rate of 70% from the total calculation data. The data used in this research is a sample data from several senior students in the Informatics program at Ubhara-Jaya. The results of the research decision support system can be used as a good recommendation for the Informatics program and senior students to direct their final project research. It is expected that further research will use more sample data so that the accuracy rate will be better and can be implemented in website or mobile-based applications.
Adaptasi Teknologi Untuk Mendukung Penguatan Kemampuan Literasi dan Numerasi Siswa Melalui Aplikasi AKM-Kelas Berbasis Desktop dan Android Rafika Sari; Ajif Yunizar Pratama Yusuf; Khairunnisa Fadhilla Ramdhania; Muhammad Ganang Martyana; Illa Nur’aini; Syifa Rahmadhani; Renilda Filiandini; Reghita Suryani Putri
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 10 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Minimum Competency Assessment (AKM) is an assessment of the basic competencies that all students need in order to be able to develop their own capacity and participate positively in society. The aim of AKM is to measure competency at the individual student level, which is expected for all students to reach a proficient or proficient level of competence. The minimum competency assessment since 2021 has been carried out online using the AKM-Kelas application provided by the Pusmenjar Kemdikbud. The challenge that later arises in implementing this is the ability of the school community to operate the application, apart from facilities and infrastructure, some schools do not yet have computer laboratory facilities. Based on this, the Kampus Mengajar (KM) program from the Merdeka Belajar Kampus Merdeka (MBKM) will work together to socialize and assist in using the AKM-Class application. In line with this, the participants in the Kampus Mengajar Batch 4 (KM-4) program at SDN 02 Jatireja designed a mentoring program for using the AKM-Kelas application in collaboration with the community service program (Pengabdian kepada Masyarakat - PkM) from Informatics lecturers at Bhayangkara University Jakarta Raya. Through this mentoring program, teachers and grade 5 elementary school students are the main targets as training participants. The main focus of this training is how to install desktop-based applications for teachers as proctors and install Android-based applications for students as AKM participants. This training program is carried out in stages over three consecutive months. The results of this training show an increase in competence that must be owned by teachers and students in the aspects of: AKM knowledge, literacy, numeracy.
Aktualisasi Masyarakat Desa Sukamekar Bekasi Dalam Kondisi Pandemi Covid-19 Melalui Program KKN Mahasiswa Rafika Sari; Ratna Sari; Safarin Novarizal
Journal Of Computer Science Contributions (JUCOSCO) Vol. 1 No. 2 (2021): Juli 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/jucosco.v1i2.691

Abstract

Kegiatan Kuliah Kerja Nyata (KKN) adalah suatu bentuk pendidikan dengan cara memberikan pengalaman empiris kepada mahasiswa untuk hidup ditengah-tengah masyarakat, dan secara langsung mengajarkan kepada mahasiswa cara identifikasi berbagai masalah sosial di masyarakat. KKN bagi mahasiswa diharapkan dapat menjadi suatu pengalaman belajar yang baru untuk menambah pengetahuan, kemampuan, dan kesadaran hidup bermasyarakat. Bagi masyarakat, kehadiran mahasiswa diharapkan mampu memberikan motivasi dan inovasi dalam bidang sosial kemasyarakatan. Bertepatan dengan kondisi pandemi Covid-19 yang masing berlangsung, termasuk di Desa Suka-Mekar Kabupaten Bekasi, maka kegiatan KKN yang dilakukan oleh mahasiswa Universitas Bhayangkara Jakarta Raya dapat menjadi sarana sosialisasi tentang penerapan Protokol Kesehatan (Prokes) kepada masyarakat setempat. Disamping itu, pemberian beberapa macam pelatihan seperti pembuatan masker home made, pelatihan komputer bagi para pelajar dan berkontribusi dalam pembenahan administrasi ke arah sistem informasi digital juga telah dilaksanakan di kantor desa Suka Mekar. Dengan adanya kegiatan KKN ini dapat menumbuhkan kembali kesadaran masyarakat dalam menjaga kesehatan dan tetap produktif di masa pandemi Covid-19 agar dapat meningkatkan kualitas hidup masyarakat.