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All Journal Bhinneka: Jurnal Bintang Pendidikan dan Bahasa Jurnal Padamu Negeri
Siti Aqilah Sabita
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Arts Humanities Education Languange, Linguistic, Communication & Media Mathematics Other

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Penerapan Algoritma Klasifikasi Nearest Neighbor Dalam Mendeteksi Penyakit Diabetes Siti Aqilah Sabita; Yahfizham Yahfizham
Bhinneka: Jurnal Bintang Pendidikan dan Bahasa Vol. 2 No. 1 (2024): Bhinneka
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/bhinneka.v2i1.645

Abstract

The purpose of writing this article is to determine the application of the nearest neighbor classification algorithm in diabetes detection. This nearest neighbor classification algorithm is a classification method often used to classify objects based on available data. This method works by searching for the closest objects in the dataset and classifying the new objects based on the closest object category. The application of the KNN algorithm can be carried out in various fields, such as analyzing the feasibility of credit granting, classifying online news materials or diagnosing diabetes. In this article, the researcher uses a literature review research method assisted by a descriptive analysis approach, to analyze the data and by describing the data that has been previously collected where the author describes data that has been obtained from various literary sources such as journals, data and others. The data obtained will be analyzed and interpreted in accordance with the objective of this research, which is to determine the application of nearest neighbor classification to detect diabetes.
PENDAMPINGAN MENGOPTIMALISASIKAN POTENSI UMKM DESA PASAR RAWA MELALUI DIGITALISASI Siti Aqilah Sabita; May Sharah Athifah; Halimatussya’diyah Purba; Melinda Azizah; Ridho Ardiansyah Dalimunthe; Dwi Ardy Dermawan
Jurnal Padamu Negeri Vol. 3 No. 1 (2026): Januari : Jurnal Padamu Negeri (JPN)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/b0vkq798

Abstract

The main problems faced by MSMEs towards digitalization are the low level of human resources and unequal access to technology. Based on existing problems, this training aims to be a mentoring program to optimize the potential of Pasar Rawa Village MSMEs through digitalization. The subjects of this research were the people of Pasar Rawa Village, Kec. Gebang numbering 16 people. This activity was carried out using lecture, discussion and training methods. Based on the results of creating a Shopee account as a seller from the questions and answers, 90% of the 16 participants understood, while creating Canva from the questions and answers, 80% of the 16 participants understood. This is because the Shopee application has instructions to make it easier for users, whereas Canva doesn’t have instructions, it just depends on what we want to design.
Co-Authors Dwi Ardy Dermawan Halimatussya’diyah Purba May Sharah Athifah Melinda Azizah Ridho Ardiansyah Dalimunthe yahfizham yahfizham