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Pelatihan Penggunaan Literasi Digital Untuk Menunjang Pendidikan Dan Umkm Khaerudin, Muhammad; Tukino; Ratna Juwita, Ayu; Rohana, Tatang; Winarni
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 2 No. 1 (2024): Juni 2024
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v2i1.73

Abstract

The pandemic conditions have opened up opportunities for teenagers to do business. In conditions like this, it is hoped that teenagers can use their time positively and productively. Mental readiness and skills need to be prepared before someone enters the world of work. Meanwhile, applications in the field of information technology have a big impact in various areas of life, one of which is in the creative industry such as advertising, billboards, graphic design and digital image processing. One of them is supporting skills for the younger generation. The method of community service carried out by a team of lecturers at Bhayangkara University, Greater Jakarta this time is in the form of training in graphic design skills using computers and using CorelDraw and Photoshop software. This activity aims to increase the knowledge and skills of youth in improving the quality of their abilities in creating attractive graphic designs so that participants can compete to meet the demand for employment and also towards entrepreneurship. The training given to participants includes creating and completing product designs for advertising or printing needs. The results of graphic design skills training activities show that participants can design logos, business cards, invitations, leaflets, banners and other forms of advertising.
Penerapan Algoritma KNN dan Naive Bayes untuk Klasifikasi Stunting pada Balita di Desa Pasirjengkol Meriyana, Putri; Rizky Pratama, Adi; Nurlaelasari, Euis; Ratna Juwita, Ayu
JURNAL PETISI (Pendidikan Teknologi Informasi) Vol. 6 No. 2 (2025): Jurnal PETISI (Pendidikan Teknologi Informasi)
Publisher : Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/jurnalpetisi.v6i2.2020

Abstract

Stunting merupakan kondisi gangguan tumbuh anak balita yang terjadi karena kekurangan asupan gizi secara terus-menerus dalam waktu yang lama, sehingga menyebabkan anak mengalami gagal tumbuh secara fisik maupun perkembangan kemampuan berpikir. Penelitian ini menerapkan algoritma K-Nearest Neighbor (KNN) dan Naïve Bayes dalam klasifikasi status balita stunting di Desa Pasirjengkol berdasarkan data usia, jenis kelamin, dan tinggi badan. Dataset yang digunakan berjumlah 1.195 data yang dikumpulkan pada tahun 2023 dan 2024, namun setelah proses pembersihan data menjadi 1.192 data. Proses penelitian meliputi pengumpulan data, pra-pemrosesan penghapusan data duplikat, transformasi data mencakup pengkodean label , dan normalisasi dengan Min-Max Scaling , kemudian pemilihan fitur, pelatihan model, dan evaluasi menggunakan matriks konfusi . Hasil evaluasi menunjukkan algoritma KNN memberikan akurasi tinggi sebesar 97.90%, sedangkan Naïve Bayes sebesar 54.39%. Berdasarkan hasil tersebut, KNN menunjukkan kinerja yang lebih baik dalam mengklasifikasikan status stunting pada balita di Desa Pasirjengkol.