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All Journal Jurnal Algoritma Jurnal PkM MIFTEK Jurnal Algoritma
Hazar, Aura Fitria
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Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Aplikasi Sistem Prediksi Mahasiswa Penerima Beasiswa Berbasis Web dengan Menerapkan Model Klasifikasi K-Nearest Neighbors Kurniadi, Dede; Nuraeni, Fitri; Hazar, Aura Fitria
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1424

Abstract

The Indonesian Smart College Card Scholarship or KIP-K is one of the many scholarships provided by the government to continue their education to a higher level for students who excel but are constrained by costs. One of the universities in Garut that provides new student admissions through this scholarship route is the Garut Institute of Technology. Every year, the Garut Institute of Technology always experiences an increase in the number of KIP-K scholarship applicants, however this is not commensurate with the number of quotas obtained so a selection process must be carried out so that the scholarship can be right on target. The selection process itself is carried out manually without the help of a special system that can help select more precisely and efficiently. The aim of this research is to build a web-based prediction system application by applying the K-Nearest Neighbors classification model to help select prospective KIP-K scholarship recipients at the Garut Institute of Technology based on test scores, economic conditions, academic and non-academic achievements of each participant. The classification model is applied in the system as a process of classifying the eligibility of prospective recipients so that the selection process is more focused on participants who are categorized as eligible. The system was built using the waterfall approach method so that system development is more structured. This research produces an application in the form of a web-based prediction system that can help classify eligibility and select prospective KIP-K scholarship recipients at the Garut Institute of Technology with a system accuracy level in predicting participant eligibility of 91.86%.
Aplikasi Sistem Prediksi Mahasiswa Penerima Beasiswa Berbasis Web dengan Menerapkan Model Klasifikasi K-Nearest Neighbors Kurniadi, Dede; Nuraeni, Fitri; Hazar, Aura Fitria
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1424

Abstract

The Indonesian Smart College Card Scholarship or KIP-K is one of the many scholarships provided by the government to continue their education to a higher level for students who excel but are constrained by costs. One of the universities in Garut that provides new student admissions through this scholarship route is the Garut Institute of Technology. Every year, the Garut Institute of Technology always experiences an increase in the number of KIP-K scholarship applicants, however this is not commensurate with the number of quotas obtained so a selection process must be carried out so that the scholarship can be right on target. The selection process itself is carried out manually without the help of a special system that can help select more precisely and efficiently. The aim of this research is to build a web-based prediction system application by applying the K-Nearest Neighbors classification model to help select prospective KIP-K scholarship recipients at the Garut Institute of Technology based on test scores, economic conditions, academic and non-academic achievements of each participant. The classification model is applied in the system as a process of classifying the eligibility of prospective recipients so that the selection process is more focused on participants who are categorized as eligible. The system was built using the waterfall approach method so that system development is more structured. This research produces an application in the form of a web-based prediction system that can help classify eligibility and select prospective KIP-K scholarship recipients at the Garut Institute of Technology with a system accuracy level in predicting participant eligibility of 91.86%.
Literasi Etika Digital Komunitas Maya pada Masa Pandemi Covid-19 Farhan, Muhammad; Nashier, Luthfi Abdurahman; Jaelani, Jaka Muhammad; Kahfi, Mochammad; Yusuf, Alifa Witri Alfahira; Aflaah, Gina Ramadhantie; Azhari, Sonia Nada Nur; Hazar, Aura Fitria; Nuraeni, Fitri; Nanang, Nanang
Jurnal PkM MIFTEK Vol 2 No 2 (2021): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.2-2.1120

Abstract

Masa pandemi Covid-19 yang tak kunjung usai menjadi sebuah ketidakpastian sendiri bagi masyarakat, ditambah dengan keresahan dari banyaknya hoax mengenai pandemi covid-19 yang bertebaran diberbagai media semakin memperburuk keadaan. Literasi etika digital merupakan salah satu bentuk upaya untuk menghadapi hoax di masa pandemi ini. Untuk itu, kegiatan Kuliah Kerja Nyata (KKN) Tematik dengan tema pengabdian pada komunitas maya menjadi sarana untuk meningkatkan literasi masyarakat dalam beretika digital, seperti bagaimana cara mengenali, mencegah penyebaran dan mengatasi berita hoax yang sudah tersebar di lingkungannya. Metode yang dilakukan dengan cara mengukur pengetahuan komunitas maya melalui penyuluhan etika digital yang diawali oleh Pre-test, penyampaian materi, kemudian Post-test. Dengan ini diharapkan masyarakat dapat lebih berhati-hati dalam menerima dan menyebarkan berita pada
Co-Authors Aflaah, Gina Ramadhantie Azhari, Sonia Nada Nur Dede Kurniadi Fitri Nuraeni Jaelani, Jaka Muhammad Kahfi, Mochammad Muhammad Farhan nanang nanang Nashier, Luthfi Abdurahman Yusuf, Alifa Witri Alfahira