PERANCANGAN PERANGKAT LUNAK PEMBELAJARAN UNTUK KLASIFIKASI FAUNA MENGGUNAKAN VISUAL BASIC 6.0

Abstract

Learning software design for fauna classification computer-based learning system which is created to learn about fauna mammal in particular companies which include naming Indonesia, the scientific name, image and the location of its range. Methods of research by the author is using a causal relationship research design experimental while data collection method is used literature study.  The author use UML as techniques oriented object and programming languages Visual Basic 6.0. Research carried out will result in a classification learning software mammal fauna in Indonesia, which include naming Indonesia, the scientific name, image and spreading lies that can help and stimulate interest in learning to understand the material more attractive, fast and clear. From the results of  research conducted by the authors, it can be concluded that the fauna classification learning software was created to help users to learn about the fauna in Indonesia as well as spreading particularly mammalian fauna. There are also suggestions that the authors provide the software design fauna are learning classification should look more attractive in order not to get bored quickly and add more databases fauna.