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Pelatihan Pembekalan Prakerin Siswa Jurusan Rekayasa Perangkat Lunak Pada SMK UISU Siantar Surya Darma; Fahmi Firzada; Wendi Robiansyah; Rizky Khairunnisa Sormin; Dedy Hartama
Jurnal Pengabdian Masyarakat Sains dan Teknologi Vol. 2 No. 3 (2023): September : Jurnal Pengabdian Masyarakat Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/jpmsaintek.v2i3.199

Abstract

UISU Siantar Vocational School is one of the private vocational schools and is one of the best Vocational Schools in Siantar. All SMK students are required to take part in industrial/prakerin work practices. The problem faced by partners is that when industrial work practices students do not have knowledge about the world of work and work ethic. A provision is needed for SMK students before industrial work practices take place. The training is carried out by providing material on an overview of the current labor market situation and the prospects for various types of jobs in the future. This activity is carried out by discussing between the training participants and the speakers. After training, the next stage in this activity is mentoring or teacher guidance. In the mentoring activities the training students are taught practice in behaving during the apprenticeship. The purpose of this activity is that students can get maximum work experience while carrying out an internship. Not only that, it is hoped that this internship activity can be used by students to demonstrate their abilities or capabilities in the world of work so that many people believe in and are interested in their abilities.
Penerapan Metode Data Mining C4.5 dalam Penentuan Kelayakan Rehabilitas Rumah Warga Aulia Sugarda; Saifullah; Jalaluddin; Agus Perdana Windarto; Wendi Robiansyah
Journal of Computing and Informatics Research Vol 1 No 3 (2022): July 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v1i3.321

Abstract

The purpose of the study was to find out which houses deserve to be rehabilitated in Pematang Dolok Kahean Village. The source of the data used in this research is using datasets that already exist in Pematang Dolok Kahean Village. The solution given is to classify the feasibility level of residents' houses using the C4.5 data mining method and using the Rapidminer software assistance. This method was chosen because it is one of the most widely used decision tree methods to predict a case. The results of the study stated that the system's accuracy value was 83.33% using split validation where this method produced several rules that could be used in determining the feasibility of the rehabilitation of residents' houses so that government subsidies could be channeled appropriately.