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Journal : Computer Science (CO-SCIENCE)

Animasi Interaktif Klasifikasi Jangkauan Dan Topologi Jaringan Komputer Berbasis Android Sebagai Media Belajar Muhammad Rezki; Muhammad Ifan Rifani Ihsan; Diah Ayu Ambarsari
Computer Science (CO-SCIENCE) Vol. 1 No. 2 (2021): Juli 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v1i2.466

Abstract

Classification of range and topology has its own types and characteristics. There are many types of outreach classifications and topologies, as well as process methods in learning in schools that are less interactive so that students are bored in the learning process, especially for students of SMK Computer and Network Engineering Department. In practice, making LAN cables requires equipment that is quite expensive, making it difficult to carry out these practical activities outside of school. So that students find it difficult to develop their abilities, especially in the vocational field. With current technological developments, of course, it can be used in the world of education, one of the uses is by making educational applications that can provide a new atmosphere in learning. Interactive animation can be a solution in overcoming the practice of making LAN cables and an explanation of Network Topology. This interactive animation was made using Construct 2 software, developed using multimedia development methods and data collection techniques in the form of observations, interviews and literature studies. The purpose of making interactive applications is so that students can understand the range classification and topology well, and can practice installing LAN cables through interactive animation simulation software as a substitute for school facilities.
Segmentasi Api dan Asap Pada Kebakaran Dengan Metode K-Means Clustering Muhammad Rezki; Siti Nurdiani; Rizky Ade Safitri; Muhammad Ifan Rifani Ihsan; Muhammad Iqbal
Computer Science (CO-SCIENCE) Vol. 2 No. 1 (2022): Januari 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v2i1.849

Abstract

Fire is a frequent disaster, especially in tropical climates. Factors causing fires that often occur are intentional and human negligence. When fires occur, fires often get out of control and spread in the direction of global warming, climate change, landslides, and floods, causing harm to the environment. Because it is difficult to analyze the size of the fire when a fire occurs, therefore with the development of technology and sophistication, it is now possible to know the position of the fire and the thickness of the smoke in a fire using digital images. Image is another term for image as a multimedia component that plays a very important role as a form of visual information. This study aims to segment the fire image by separating 2 images, namely fire and smoke to determine the position of the fire and the thickness of the smoke in the fire. The fire and smoke segmentation research uses the K-means clustering method using the Matlab application. The stages carried out in this research include the Image Input Process, Converted Original Image to Binary, Threshold Conversion Segmentation, Image Segmentation Process. The image segmentation process for the fire and smoke fire images succeeded in separating the fire and smoke objects with a value of T3 = 61. The smoke and fire objects were in the matrix coordinates [50:100,300:200].