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Journal : Jurnal Momentum

REKAYASA PERANGKAT LUNAK PENGOLAHAN DATA DISTRIBUSI OBAT- OBATAN DI PT. ANUGRAH PHARMINDO LESTARI BERBASIS WEB Yuhendra Yuhendra; Riza Eko Yulianto
Jurnal Momentum ISSN 1693-752X Vol 17, No 2 (2015): Volume 17 No. 2 Tahun 2015
Publisher : ITP Press

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Abstract

PT. Anugrah Pharmindo Lestari (APL) is a company engaged in the distribution of pharmaceuticals to be distributed to outlets (hospitals, pharmacies etc.). Currently the data processing distribution of pharmaceuticals PT. Anugrah Lestari Pharmindo done manually, in addition to the company is also difficult to assess the type of pharmaceuticals most consumers need. As for the book party of pharmaceuticals outlets should come to the company making it less effective and efficient in terms of cost and time. This study aims to build a data processing system of distribution of pharmaceuticals that can process data with good distribution and facilitate the outlet in making reservations and obtain information of pharmaceuticals data. The system is built using the programming language PHP, MySQL database and Apache webserver. With this system the data processing distribution of pharmaceuticals PT. Pharmindo Anugrah Lestari becomes easier with the purchase and sales reports. There was also a chart that is used to monitor the pharmaceuticals most needed, as well as the outlet no longer need to come to the company to order the pharmaceuticals
SCENES CHANGE ANALYSIS OF MULTI-TEMPORAL IMAGES FUSION Yuhendra Yuhendra
Jurnal Momentum ISSN 1693-752X Vol 14, No 1 (2013): Volume 14 No 1 Februari 2013
Publisher : ITP Press

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Abstract

Image fusion and subsequent scene analysis are important for studying Earth surface conditions from remotely sensed imagery. The fusion of the same scene using satellite data taken with different sensors or acquisition times is known as multi-sensor or multi-temporal fusion, respectively. The purpose of this study is to investigate the effects of the multi-sensor, multi-temporal fusion process when a pan-sharpened scene is produced from low spatial resolution multispectral (MS) images and a high spatial resolution panchromatic (PAN) image. It is found that the component substitution (CS) fusion method provides better performance than the multi-resolution analysis (MRA) scheme. Quantitative analysis shows that the CS-based method gives a better result in terms of spatial quality (sharpness), whereas the MRA-based method yields better spectral quality, i.e., better color fidelity to the original MS images.