scholarly journals APPLICATION OF EMERGENCY ON BUILDING FIRE USING ANT COLONY OPTIMIZATION METHOD BASED ON ANDROID

2021 ◽  
Vol 4 (2) ◽  
pp. 195-204
Author(s):  
Khusaeri Andesa ◽  
Herwin Herwin
Keyword(s):  
Ant Colony Optimization ◽  
Optimization Method ◽  
Ant Colony ◽  
Easy Access ◽  
Incident Report ◽  
Building Fires ◽  
Rescue Service ◽  
The Public ◽  
Fire Incident ◽  
Long Time

Fire and Rescue Service is an agency to handles fire problems, i.e building fires. Fire and Rescue Service of Pekanbaru is an agency to handles fire problems in Pekanbaru where the service receives information about a fire incident quickly and responsively. Fire incidents can occur anywhere, in any location, both easy or difficult access, but the Firfighter Team must be prepared in every conditions. The problem is that not all fire incidents occur in easy access places by firefighters. The incidents sometimes occur in difficult places to reach and unknown location, firefighter have to use maps to find the location. It will be wasting time to find unknown location and took a long time to arrive. The solution of this problem is to build an android-based application that can be used as a fire incident report, which is connected in one application, so residents can report through an application automatically provides the coordinates of incident. The application of Ant Colony Optimization method in finding fire locations makes it easier to hasten in searching fire locations and can be used by the public in reporting fires to Fire and Rescue Service of Pekanbaru to be processed quickly.

scholarly journals Pengembangan Metode Ant Colony Optimization Pada Klasifikasi Tanaman Mangga Menggunakan K-Nearest Neighbor

2017 ◽  
Vol 8 (4) ◽  
Author(s):  
Febri Liantoni ◽  
Luky Agus Hermanto
Keyword(s):  
Edge Detection ◽  
Ant Colony Optimization ◽  
Nearest Neighbor ◽  
Optimization Method ◽  
Ant Colony ◽  
K Nearest Neighbor ◽  
Edge Image ◽  
Image Detection ◽  
Mango Leaves ◽  
Leaf Midrib

Abstract. Leaf is one important part of a plant normally used to classify the types of plants. The introduction process of mango leaves of mangung and manalagi mango is done based on the leaf edge image detection. In this research the conventional edge detection process was replaced by ant colony optimization method. It is aimed to optimize the result of edge detection of mango leaf midrib and veins image. The application of ant colony optimization method successfully optimizes the result of edge detection of a mango leaf midrib and veins structure. This is demonstrated by the detection of bony edges of the leaf structure which is thicker and more detailed than using a conventional edge detection. Classification testing using k-nearest neighbor method obtained 66.67% accuracy. Keywords: edge detection, ant colony optimization, classification, k-nearest neighbor. Abstrak. Pengembangan Metode Ant Colony Optimization Pada Klasifikasi Tanaman Mangga Menggunakan K-Nearest Neighbor. Daun merupakan salah satu bagian penting dari tanaman yang biasanya digunakan untuk proses klasifikasi jenis tanaman. Proses pengenalan daun mangga gadung dan mangga manalagi dilakukan berdasarkan deteksi tepi citra struktur tulang daun. Pada penelitian ini proses deteksi tepi konvensional digantikan dengan metode ant colony optimization. Hal ini bertujuan untuk optimasi hasil deteksi tepi citra tulang daun mangga. Penerapan metode ant colony optimization berhasil mengoptimalkan hasil deteksi tepi struktur tulang daun mangga. Hal ini ditunjukkan berdasarkan dari hasil deteksi tepi citra struktur tulang daun yang lebih tebal dan lebih detail dibandingkan menggunakan deteksi tepi konvensional. Pengujian klasifikasi dengan metode k-nearest neighbor didapatkan nilai akurasi sebesar 66,67%.Kata Kunci: deteksi tepi, ant colony optimization, klasifiaksi, k-nearest neighbor.

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