The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

Citra resolusi tinggi SPOT 6/7 sangat bermanfaat untuk rencana tata ruang wilayah, monitoring, perencanaan dan pengawasan dalam suatu daerah. Indonesia merupakan negara kepulauan yang sangat luas. Untuk itu diperlukan suatu mosaik citra yang dapat digunakan untuk memantau wilayah yang cukup luas ini. Keberadaan citra SPOT 6/7 yang sangat banyak pada setiap tahun memungkinkan LAPAN untuk membuat citra mosaik seluruh Indonesia. Penelitian ini bertujuan untuk menghasilkan mosaik citra SPOT 6/7 dengan tutupan awan minimal sehingga banyak informasi yang dapat diperoleh untuk membantu pemerintah dalam mengambil suatu kebijakan. Dalam penelitian ini diperkenalkan metode yang disebut sebagai LAPAN 8-Steps. Metode ini dikembangkan berdasarkan model Mosaic Tile Based (MTB) dan menggunakan algoritma haze index sehingga dapat menghasilkan mosaik citra SPOT 6/7 dengan tutupan awan minimal. Ukuran tile yang digunakan pada penelitian ini adalah 0.1×0.1 degree. Selain dapat mempersingkat waktu pembuatan mosaik citra SPOT 6/7, metode ini juga efisien dalam penggunaan memori penyimpanan dan sumber daya manusia.

At this time the use of computer device technology has developed rapidly and the community. Most people use it not only for commercial purposes, but also to get information on disease detection quickly and efficiently with a computer-based application that can help the general public to find out the causes and symptoms of the disease. for that, a system is needed to imitate the expertise of an expert in answering questions and solving problems in accordance with the knowledge of an expert who is entered into a computer system. The development of artificial intelligence technology that has occurred has made it possible for expert systems to be applied to detect disease using programming languages. One of them is in providing information about various problems, especially Vasculitis. The expert system method used is a Variable Centered Intelligent Rule System (VCIRS) used to handle diagnosing vasculitis. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. Users are given ease in knowing information about Vasculitis disease, its causes and deterrents. This expert system is created by using Microsoft Visual Basic 2008 Programming Language.Keywords: Expert System, Variable Centered Intelligent Rule System (VCIRS), Vasculitis

Atmospheric correction is essential in satellite data processing to reduce atmospheric and lighting effects by studying the physical parameter of the earth’s surface. In this study, ATCOR and 6S algorithms were evaluated for Sentinel-2 over paddy field area. In this evaluation, level-1C Top of Atmosphere (TOA) Sentinel-2 image was used as an input data. The spectral pattern analysis of the results was used to assess the reliability of the methods. As a result, the both methods produced the correct spectral patterns. Moreover, the results showed that the longer the wavelength the less the improvement values. It starts from the blue band, 43,2% for the fallow phase and 60% for the vegetative phase of BOA corrected image. In the other hand, the NDVI values of fallow and vegetative phases that derived from the two methods are not greatly different.

High-resolution satellite imageries have been widely used for many applications, including monitoring natural resources and disasters. Unfortunately, the existence of the cloud interferes with these activities. The small coverage of high-resolution satellite imageries is also needed to be extended to a larger coverage for monitoring large areas. A method for generating the cloud-free tile-based mosaic for high-resolution satellite images is proposed in this paper to address the issues, namely Mosaic Tile-Based (MTB). The basic idea of this method is to take advantage of the cloud cover information from multi-temporal high-resolution satellite images to select the best image with the minimum cloud cover. SPOT-6 and SPOT-7 pan-sharpened images are used to test the method’s reliability. First, each image is re-shaped becomes tiles and keeps the information of its acquisition date. Each tile image is then calculated and assessed based on its cloud cover. Tile image selection is conducted in the next step to select the best tile with the lowest percentage of the cloud cover. In the last step, a mosaic of each best tile is conducted to produce a cloud-free mosaic. As a result, the mosaic product has a minimum cloud cover and larger coverage. The proposed method has beneficial as it keeps the original acquisition date on each tile and is faster for image processing activities. Thus, this method can be used as an alternative method for generating cloud-free mosaic for high-resolution satellite images to support natural resources and disaster monitoring.