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Deteksi Tepi Optimal dengan Integrasi Canny, CLAHE, dan Perona-Malik Diffusion Filter Hamdani, Ibnu Mansyur; Lina, Ismi Rizqa; Muslihi, Muhammad Takdir
Jurnal Mosfet Vol. 5 No. 1 (2025): 2025
Publisher : Fakultas Teknik Universitas Muhammadiyah Parepare (FT-UMPAR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jmosfet.v5i1.3638

Abstract

Edge detection is a fundamental technique in digital image processing, crucial for identifying object boundaries. However, detecting edges in low-intensity and noisy images remains a significant challenge. This study proposes an optimal edge detection method by integrating the Canny algorithm, Contrast Limited Adaptive Histogram Equalization (CLAHE), and Perona-Malik Diffusion Filter, with automatic kappa (k) value determination using the Fractional Order Sobel Mask. The process begins with noise reduction through the Perona-Malik Diffusion Filter, followed by local contrast enhancement using CLAHE, and concludes with edge detection via the Canny algorithm. Experimental results demonstrate that the proposed method significantly enhances edge clarity and robustness against noise compared to the conventional Canny algorithm, particularly for low-intensity images and images with noise. Tests on leaf and medical images confirm the effectiveness of this method in improving edge detection quality in digital images.
EDUKASI PELUANG SAINS DATA UNTUK GENERASI DIGITAL RUANG LINGKUP TINGKAT SMA Wati, Dia Cahya; Aisyah, Siti; Lina, Ismi Rizqa; Naufal, Naifi; Retnowati, Sri; Hakim, Lukmanul
Jurnal Edukasi Pengabdian Masyarakat Vol 4 No 2 (2025): APRIL 2025
Publisher : FIP UNIRA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36636/eduabdimas.v4i2.6563

Abstract

Kegiatan edukasi bagi generasi digital, khususnya di tingkat Sekolah Menengah Atas (SMA), sangat penting untuk menambah wawasan dan keterampilan mengenai sains data. Artikel ini mengkaji program edukasi yang berfokus pada prospek karir di bidang sains data, serta pengetahuan yang diperlukan untuk menjadi Data Scientist, termasuk pemahaman tentang analisis data, statistik, dan pemrograman. Selain itu, kegiatan ini juga mencakup pengenalan konsep machine learning dan kecerdasan buatan (AI) atau Generative AI (GenAI), yang semakin relevan di era digital saat ini. Melalui pendekatan praktis dan interaktif, siswa diajak untuk mengeksplorasi alat dan teknik yang digunakan dalam sains data, serta memahami implikasi etis dan sosial dari penggunaannya. Melalui workshop ini, diharapkan siswa dapat mengembangkan keterampilan yang diperlukan untuk memberikan kontribusi yang signifikan di bidang yang sedang berkembang ini, sekaligus mempersiapkan diri untuk karir yang cerah di masa depan.
Empowering Coastal Communities through a Feasibility Study of Lobster Cultivation in Central Buton Regency Lina, Ismi Rizqa; Fauziyah, Nida Nurlivi; Damayanthy, Dessy
DIKDIMAS : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2026): DIKDIMAS : JURNAL PENGABDIAN KEPADA MASYARAKAT VOL 5 NO 1 APRIL 2026
Publisher : Asosiasi Profesi Multimedia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/dikdimas.v5i1.606

Abstract

Background: Central Buton Regency has significant coastal and marine potential to support the development of lobster aquaculture using floating net cages (KJA). Favorable oceanographic conditions and available coastal space provides strong opportunities for expanding this high-value fisheries sector. However, large-scale development faces sustainability challenges, particularly related to feed supply and ecosystem management.Aims: This paper aims to assess the feasibility and development direction of lobster aquaculture in Central Buton Regency. The scope covers environmental suitability, initial production conditions, planned expansion to 500 floating net cages, and sustainable feed management strategies based on local resources.Methods: Field surveys were conducted on 12–14 December 2025 to observe farming locations and engage with lobster farmers. This was followed by a Focus Group Discussion (FGD) on 15 December 2025 involving village leaders, farmers, relevant stakeholders, and three invited experts to discuss the industry ecosystems, local farming techniques, and integrated feed management.Results: The results indicate that current feed demand can still be met using natural feed sources such as trash fish and shellfish. However, under the projected expansion to 500 floating net cages, daily feed requirements are estimated at approximately 5.5 tons for wet feed or 1.5 tons for pellet feed.Conclusion: Lobster aquaculture development in Central Buton Regency is technically feasible but requires integrated feed management planning. The development of shellfish farming and locally produced pellet feed is essential to ensure sustainability, reduce dependence on wild resources, and enhance long-term competitiveness. As a follow-up, this program encourages the establishment of a sustainable mentoring model for farmers in feed management and strengthening their data-based production capacity.