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Rezky
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Agriculture, Biological Sciences & Forestry Computer Science & IT Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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KLASIFIKASI JENIS BUAH JAMBU BIJI MENGGUNAKAN ALGORITMA PRINCIPAL COMPONENT ANALYSIS DAN K-NEAREST NEIGHBOR Rezky; Eka; Ika Kurniati, Neng; Rahmi
Generation Journal Vol 6 No 2 (2022): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v6i2.17777

Abstract

Jambu biji sering disebut juga jambu klutuk, jambu siki, jambu batu dan bangkok. Tingkat kematangan buah jambu biji dapat ditentukan dengan cara melihat berbagai faktor. Bentuk adalah salah satu faktor yang berperan mengidentifikasi objek tertentu. Klasifikasi buah jambu biji dapat dilihat dari bentuk maupun warnanya. Terdapat dua cara untuk mengklasifikasi buah jambu biji yaitu secara destruktif dan non-destruktif. Kematangan buah jambu biji secara destruktif dilakukan dengan membuka buah jambu biji untuk mengetahui jenisnya berdasarkan warna daging dan biji. Maka di bangunlah sebuah aplikasi Matlab untuk menentukan jenis jambu biji berdasarkan warna, bentuk dan teksturnya. K-Nearest Neighbor dapat melakukan klasifikasi terhadap objek berdasarkan data pembelajaran yang jaraknya paling dekat dengan objek tersebut sehingga hasilnya bisa lebih akurat. Principal Component Analysis (PCA) adalah teknik statistik untuk menyederhanakan kumpulan data banyak-dimensi menjadi dimensi yang lebih rendah (extration feature). Kombinasi antara K-Nearest Neighbor dengan Principal Component Analysis mengahasilkan akurasi yang cukup tinggi untuk penentuan jenis jambu biji menggunakan data latih dengan jumlah 36 data jambu biji dan data uji dengan jumlah 9 data jambu biji.
Edukasi Urban Farming, Budidaya Sistem Hidroponik, dan Konsep 3R untuk Siswa-Siswa Sekolah Dasar Lestari, Nunik; Nurdian; Rezky; Putri, Sesilia; Samsuar
Abdi Techno Jurnal AbdiTechno, Vol. 4, Nomor 2, Juli 2024
Publisher : Departemen Teknologi Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/abditechno.v4i2.1352

Abstract

Urban farming activities are not only useful for providing local food crops, but also provide benefits in forming superior character for those involved. A number of studies state that urban farming activities carried out by students at school can increase students' creativity, environmental awareness, cooperation, responsibility and discipline. Urban farming with a hydroponic concept that utilizes waste will provide more meaningful learning for students, because it not only introduces students to agriculture, but also applies the 3R concept (reduce, reuse, recycle) which is useful for waste management. This community service program aims to provide knowledge and skills for students and teachers at SD Negeri 69 Barru so they can cultivate plants through a simple hydroponic system using plastic waste, as part of urban farming education and the 3R concept, as well as creating educational facilities for students. This community service activity is carried out in 4 stages, namely the coordination, planning, implementation and evaluation stages, with the implementation using lecture, discussion and direct practice techniques. The results of this community service activity have fulfilled the program objectives, where after the implementation of the activity it has an impact on increasing participants' knowledge and skills in hydroponic cultivation; helping schools provide learning facilities for urban farming, hydroponics and the 3R concept; creating 3R awareness in schools by utilizing plastic waste; as well as creating green open spaces for educational facilities for students.
Co-Authors Eka Ika Kurniati, Neng Lestari, Nunik Nurdian Putri, Sesilia Rahmi Samsuar