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Planting medicinal crops must be carried out on a land that is suitable based on the results of a land suitability evaluation. A framework to evaluate the land suitability is initiated by FAO. Smart phone nowadays becomes ubiquitous technology to solve problems in most settings, such as agriculture, medicine, and many others. This paper is to capitalize such advantage by converting the framework into a mobile app. This solution is hoped to help land users to be more effective and efficient in evaluating their land. An algorithm is employed in the form the Rule Based System (RBS) in a way to construct the framework into bunch of rules that connect each other, resulting the conclusion of suitability. The rules itself are working on annual rainfall, altitude, drainage, soils' type, pH, flood risk, fertility of the soils, soil solum depth, etc. This study focuses on three medicinal crops only, which are candlenut, cardamom and onion to be evaluated. Data of agro climatic that were determining the suitability of the crops were developed into general and specific criteria for the plants. A usability model was studied from 40 respondents using the app. The usability of the app was in "very good" classification.

Human anatomy is a biology field that studies human body which consists of intricate and complex piece of engineering in which every assembly has an important role. This subject is considered to be very complex and thus need an advanced technology to help users learning this course more effectively. In this study, we propose and report our research strategy and progress to build a constructive play on human anatomy system based on finger motion gesture of Leap Motion controller (LMC). This LMC device can detect hand gestures and fingers’ motion and translate it into interaction input. Then, we utilize holographic display to portray our 3D human anatomy as its output. In detail, the research strategy of this paper consists of research plan, general framework and general architecture of the developed system. Then, we also present our current development of constructive anatomy learning system. In this future, we will discuss in more detail about the development stage.

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