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All Journal KOMPUTA : Jurnal Ilmiah Komputer dan Informatika E-Link: Jurnal Teknik Elektro dan Informatika Jurnal Nasional Teknologi Komputer
Maximillian, Louis
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

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Perbandingan Algoritma Sobel dan Canny untuk Deteksi Tepi Citra Daun Lidah Buaya Maximillian, Louis; Riti, Yosefina Finsensia; Agung, Mario Anugraha; Palis, Yohanes Junardi
Komputa : Jurnal Ilmiah Komputer dan Informatika Vol 12 No 2 (2023): Komputa : Jurnal Ilmiah Komputer dan Informatika
Publisher : Program Studi Teknik Informatika - Universitas Komputer Indonesia (UNIKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputa.v12i2.10997

Abstract

Penyakit daun yang umum terjadi pada tanaman lidah buaya, seperti busuk daun, busuk akar, infeksi bakteri, dan serangan virus, dapat menimbulkan kerusakan yang cukup parah. Identifikasi penyakit-penyakit tersebut masih mengandalkan pengalaman petani dan seringkali menimbulkan interpretasi yang salah. Solusi modern telah ditemukan melalui penerapan teknologi informasi, khususnya di bidang pengolahan citra digital. Dengan menggunakan metode ini, diagnosis penyakit pada daun lidah buaya dapat ditingkatkan melalui deteksi tepi objek pada gambar daun. Hasil deteksi tepi ini memungkinkan mengidentifikasi gejala penyakit dengan lebih akurat. Dalam konteks ini, algoritma Canny dan Sobel, dua algoritma yang umum digunakan untuk deteksi tepi pada gambar, terbukti menjadi pilihan yang efektif. Dengan menggunakan metode tersebut, gambar tepi daun lidah buaya dapat diidentifikasi secara akurat. Ini adalah langkah penting dalam mendukung petani dalam diagnosis dini penyakit dan mengambil tindakan tepat waktu untuk mengatasi masalah ini. Penelitian ini bertujuan untuk mendapatkan algoritma terbaik pendeteksian tepi daun lidah buaya berdasarkan nilai Mean Squared Error (MSE) dan Peak Signal-to-Noise Ratio (PSNR). Hasil pengujian menunjukkan bahwa algoritma Sobel memberikan hasil yang lebih baik dengan rata-rata pengukuran MSE sebesar 2781.88 dan rata-rata PSNR sebesar 14.04, sedangkan algoritma Canny memiliki rata-rata MSE sebesar 3542.02 dan rata-rata PSNR sebesar 12.92.
PERANCANGAN APLIKASI DESKTOP KASIR PADA BENGKEL MOTOR DI SURABAYA Maximillian, Louis; Sanjaya, Ivan; Alexander, Edwin
E-Link: Jurnal Teknik Elektro dan Informatika Vol 19 No 1: Mei 2024
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/e-link.v19i1.7195

Abstract

Workshops are a business that has an important role in the Indonesian economy. However, there are still many workshops that do not have a good operational system, especially in terms of recording transactions. This can cause the workshop to be less efficient and effective in running its business. In this research, the author developed a desktop cashier application for workshops. This application was built using Python, PyQt5, and MySQL. This application has features that can help workshops in recording transactions, such as master data, transactions, reports and settings. The research results show that this desktop cashier application can help workshops improve their operational efficiency and effectiveness. This application can make it easier for workshops to record transactions, produce accurate reports, and manage workshop data.
ANALISIS FITUR APLIKASI CINCAU STATION DENGAN METODE CUSTOMER KNOWLEDGE MANAGEMET (CKM) Arya Reinanta Putra, Theofilus Dewa; Maximillian, Louis; Reinaldo, Dionisius; Prutanda, Ryan
Jurnal Nasional Teknologi Komputer Vol 3 No 3 (2023): Volume 3 Nomor 3 Juli 2023
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v3i3.78

Abstract

In the era of globalization, business competition is fierce, especially in the food and beverage industry. Cincau Station, which initially only served ice cincau with palm sugar, has developed into a variety of flavors and can be accessed through a mobile application. However, this application has shortcomings in design and features that can affect consumer interest. This research uses the Customer Knowledge Management (CKM) method to analyze the UI/UX of the Cincau Station application. CKM is an approach that considers customer needs to develop ideal products. The goal of CKM is to achieve brand effectiveness and competitiveness. This research limits the analysis to the content and composition aspects of the application. Keywords: Cincau Station, Customer Knowledge Management (CKM), Design, Effectiveness, Mobile Application, UI/UX
Co-Authors Agung, Mario Anugraha Alexander, Edwin Arya Reinanta Putra, Theofilus Dewa Palis, Yohanes Junardi Prutanda, Ryan Reinaldo, Dionisius Riti, Yosefina Finsensia Sanjaya, Ivan