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Aplikasi Grey Level Coocurent Matrix(Glcm) Menggunakan Matlab Gui Dan Ann Dalam Identifikasi Penyakit Pada Tanaman Porang Marwan, Fayyadh Ats Tsaqib; Ramadhanti, Hauraisya Nayla; Wahid, Neyla Cahyaningrum; Rimantho, Dedi
Jurnal Teknologi Elekterika Vol. 20 No. 2 (2023)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v20i2.4643

Abstract

Porang is an Indonesian export product, its export potential still has enormous value opportunities. Diseases in porang are caused by several things, including pathogenic bacteria which damage the tubers. Caterpillars and grasshoppers also become diseases in people. The GLCM method provides speed of initial identification of diseases in porang. ANN (Artificial Neural Network) helps classify diseases in porang plants. The Matlab GUI is used as an graphical interface for the porang disease classification application.
Blue Carbon Degradation on Coral Reefs as Impact of Climate Change: Case Study at Samalona Island, Makassar City, South Sulawesi Al Faidi, Andi Siti Nur Azizah; Resky, Dwisha Aprilia; Alivaiz, A. Firdhlan; Nadjib, Almira Izzah Fawziyah; Devara, Zein Abiya; Rimantho, Dedi
Buletin Oseanografi Marina Vol 14, No 2 (2025): Buletin Oseanografi Marina
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/buloma.v14i2.70792

Abstract

Climate change is one of the global environmental hazards that can threaten humans and nature. Climate change can affect changes in temperature and rainfall. This research aims to estimate how much blue carbon potential can be absorbed by coral reefs on Samalona Island, and the effect on climate change. The collection of climate data for the last five years and Live Coral data for the last four years sourced from previous studies, added with field observations to obtain Live Coral data using the quadrat transect method. The identification results showed that there were 33,22% Live Coral, 50,56% Dead Coral, 7,44% Others, 8,78% Algae. To determine the blue carbon value, by multiplying the Live Coral data by the area of Samalona Island. The results are converted into square meters and multiplied by 7,72 x 10^-5 kg/m², this is the blue carbon value of Acropora Aspera. To determine the effect, simple regression was used with SPSS software. The results found that the interpretation value of blue carbon on temperature is 0,666 and on rainfall is 0,264, which shows that the relationship between blue carbon and temperature is strong and weak on rainfall.