Kasanova, Sinyo
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Pelatihan Dasar Pemrograman Java Keterampilan Hard Skill Bagi Siswa/I SMK Muhammadiyah 2 Palembang Andreas, Andreas; Kasanova, Sinyo; Robi, Muhammad; Rizky Pribadi, Muhammad
FORDICATE Vol 3 No 1 (2023): November 2023
Publisher : Universitas Multi Data Palembang, Fakultas Ilmu Komputer dan Rekayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/fordicate.v3i1.5379

Abstract

In the era of the digital industry, the role of Information and Communication Technology-based courses is really needed by students as a provision for them to face the changes and demands of the times. SMK acts as a vocational education institution that organizes professional programs such as mechanical engineering, offices, fine arts, catering, administration, and others that can provide skills, one of which is hard skills to support professional skills. In supporting the development of the skills of vocational students in the digital industry era, basic introductory training in the Java programming language is held which aims to introduce the basics and ways of developing or creating software applications.
Identifikasi Tingkat Kesegaran Daging Ayam Kampung Menggunakan Metode KNN Berdasarkan Warna Daging Kasanova, Sinyo; Udjulawa, Daniel
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 4 No 2 (2024): April 2024 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v4i2.7872

Abstract

Free-range chicken is a type of poultry that is still natural in the sense that it has not received genetic improvement treatment. The economically advantageous characteristics of free-range chickens are relatively few compared to purebred chickens, even in terms of egg production and the ability to produce meat. Determining the level of freshness of free-range chicken meat is an important factor in determining the quality of the meat to be consumed, so that people as consumers can avoid the worst risks if they consume free-range chicken meat that is not fresh. For this reason, research was carried out to determine the level of freshness of free-range chicken meat using the KNN and HSV methods. The level of freshness is divided into 3 levels, namely rotten, fresh and not fresh. Based on the results of tests carried out using the KNN method with models k=1, k=3, k=5, k=7, k=9, and k=11, it was found that in the testing process the value of the highest accuracy was obtained by the value k=5 namely 80% and k=7, namely 80%, meanwhile the lowest result was obtained by the value k=1, namely 80%.