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All Journal Information Technology Education Journal Journal of Deep Learning, Computer Vision and Digital Image Processing
By Tri Agung Nusantara Kr. J. Tompong
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Computer Science & IT Education

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Klasifikasi Tingkat Kesegaran Sayur Bayam Berdasarkan Tekstur Daunnya Berbasis Citra Digital Khaidir; Reyna Buryani Al’Safinat; A. Muhammad Fuad Fadhlurrahman; By Tri Agung Nusantara Kr. J. Tompong; Jessica Crisfin Lapendy
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 2 Issue 2 September 2024
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v2i2.549

Abstract

Penelitian ini bertujuan untuk mengklasifikasikan tingkat kesegaran sayur bayam berdasarkan tekstur daunnya menggunakan citra digital. Metode yang diusulkan terdiri dari 6 tahap, yaitu akuisisi citra, preprocessing, segmentasi, operasi morfologi, ekstraksi fitur, dan klasifikasi. Penelitian ini menggunakan metode klasifikasi untuk menentukan kualitas bayam menggunakan algoritma K-Means dengan fitur RGB + LAB + TEKSTUR. Hasil menunjukkan akurasi tertinggi sebesar 92,91% untuk data latih dan 88,33% untuk data uji. Proses morfologi dalam penelitian dimulai dengan operasi opening pada gambar segmentasi menggunakan elemen struktural berbentuk disk berukuran 3 piksel, dilanjutkan dengan hole filling untuk mengisi lubang kecil di dalam objek, dan bwareaopen untuk menghilangkan noise atau objek kecil yang tidak penting. Tahap ekstraksi fitur mencakup fitur warna dan tekstur, dengan menggunakan GLCM untuk menghitung nilai homogeneity, contrast, correlation, dan energy. Tahap klasifikasi dilakukan dengan algoritma clustering K-Means untuk membedakan kelas gambar daun bayam berdasarkan kualitasnya. Saran untuk penelitian selanjutnya adalah memperbaiki proses pengambilan gambar dan mencoba metode klasifikasi dan fitur lainnya.
Educational Administration Students’ Satisfaction With SYAM-OK Academic Information Service at Universitas Negeri Makassar By Tri Agung Nusantara Kr. J. Tompong; Andi Ratu Ayuashari Anwar
Information Technology Education Journal Vol. 4, No. 2, May (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i2.9204

Abstract

This study aims to analyze the level of satisfaction among students, as the primary users, with the quality of the academic information system SYAM-OK at Universitas Negeri Makassar (UNM). The academic information system is a vital component in supporting academic administration and learning processes, especially in the digital era that demands fast and accurate information access. This research employed a qualitative descriptive method with data collected through in-depth interviews with students actively using SYAM-OK. Respondents were students from the Educational Administration Department, Faculty of Education, UNM. The findings indicate that students are generally satisfied with SYAM-OK as it facilitates access to academic information, such as class schedules, transcripts, and important announcements. However, some technical issues remain, such as difficulties submitting assignments due to internet disruptions and server overload. The study recommends improving technological infrastructure, intensive training for lecturers to optimize interactive features, and the development of additional features, such as email notifications and offline access. Implementing these recommendations is expected to enhance the quality of SYAM-OK services, making them more effective in supporting academic activities.
Co-Authors A. Muhammad Fuad Fadhlurrahman Andi Ratu Ayuashari Anwar Jessica Crisfin Lapendy Khaidir Reyna Buryani Al’Safinat