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Implementasi Algoritma Regresi Linear Dalam Sistem Prediksi Pendaftar Mahasiswa Baru Sekolah Tinggi Teknologi Indonesia Tanjungpinang Nanny Raras Setyoningrum; Putri Jingga Rahimma
Prosiding Vol 4 (2022): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

In the last four years, Sekolah Tinggi Teknologi Indonesia Tanjungpinang has experienced ups and downs in the number of new students. In the 2017/2018 academic year the number of new students was 180 with 77 students taking the Information Systems study program and 103 students choosing the Informatics Engineering study program. In the following year the number of students decreased by 16% then rose again in the 2019/2020 academic year by 23% with 185 new students and in the 2020/2021 academic year where this year the whole country was hit by the Covid-19 pandemic, it decreased again by 8, 6% with 169 students. The use of linear regression algorithms in predicting the number of new students in the form of a web-based application can facilitate the marketing department in making future strategies to increase the number of new students in the following year. The method in this research consists of several stages, namely literature study, data collection, system requirements analysis, system design using simple linear regression algorithm, python django programming language and using MySQL database, then implementation and analysis of results and testing. The results of this study can help predict the number of new students for the future, where the results obtained are estimates based on data for a certain period of time. The accuracy test with manual calculation is 0.000277008 while the accuracy test with the system is 0.00027700831024, this shows that manual calculations and system calculations can be said to be appropriate
PELATIHAN PENGGUNAAN MEDIA BELAJAR ARANIMAL DALAM PEMBELAJARAN PENGENALAN HEWAN BAGI SISWA SLB FASE B Danandjaya Saputra; Hendi Setiawan; Nanny Raras Setyoningrum
Jurnal Pengabdian Masyarakat Kesosi Vol. 8 No. 2 (2025): Juli: Jurnal Abdimas KESOSI
Publisher : Sekolah Tinggi Ilmu Kesehatan Kesetiakawanan Sosial Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57213/abdimas.v8i2.360

Abstract

This community service activity aims to provide training in the use of augmented reality technology-based learning media through the ARAnimal application to improve students' understanding of animal names and types, especially at SLB Negeri 2 Tanjungpinang and SLB Negeri Kijang. Based on observations, teachers reported difficulties in conveying the material due to the limitations of mentally retarded students in understanding abstract concepts verbally, as well as the lack of interactive and engaging learning media. For this reason, this activity utilizes ARAnimal, an Augmented Reality (AR)-based mobile application as a visual, auditory, and animated learning medium designed to support the learning needs of students with special needs. The community service method is carried out through a participatory and demonstrative approach, with stages of preparation, training, and evaluation. A total of 17 students and teachers were involved in two training sessions that included presentations and direct practice using ARAnimal, as well as pre-test and post-test evaluations. The evaluation results showed an increase in student understanding after participating in the training, as indicated by increased grades and decreased time spent working on questions. The average score for the animal name completion indicator increased from 4.5 to 4.71, while the processing time decreased from 240 seconds to 71.53 seconds. For the animal name connection indicator, the score increased from 4.8 to 5.12, and the processing time decreased from 189 seconds to 55.76 seconds. These results indicate that ARAnimal media is effective in increasing the engagement, memory, and understanding of students with intellectual disabilities. This activity demonstrates that the use of AR technology can be an innovative solution in inclusive learning.