Cynthia Damayanti
Magister Sistem Informasi Universitas Diponegoro

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Efek Angiogenesis Beraprost terhadap Gambaran Histopatologi Jantung Tikus Galur Wistar Hipertensi (Angiogenesis Effect of Beraprost on the Cardiac Histopathology of Hypertensive Wistar Rat) Damayanti, Cynthia; Suryono, Suryono; Suseno, Arief
Pustaka Kesehatan Vol 3 No 3 (2015)
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Hypertension is a state where there is an increase of blood pressure above normal threshold,120/80 mmHg. The phatophysiology of hypertension involves the changes of vascular structure. Therefore, the beraprost drug was created. It is a vasodilator and antitrombolytic which is able to induce angiogenesis. The study aimed to investigate the effect of Beraprost on angiogenesis as a hypertension therapy agent. In true experimental design, 22 males wistar rat were divided into control group and treatment group (Beraprost 100mcg/KgBW/day). The results showed that the systolic blood pressure decrease after therapy with Beraprost from 180 mmHg to 143 mmHg whereas diastolic blood pressure consistant at 80 mmHg after induction of hypertension as well as therapy of Beraprost. An examination of cardiac histopathology, there was an increasing number of blood vessels in the treatment group, 16.637.29 compared to 7.45 1.21 in control group. It can be concluded that Beraprost had an angiogenesis effect and decrease systolic blood pressure in hypertensive rat model. Keyword : Hypertension, Beraprost, vascular structure, angiogenesis.
SISTEM INFORMASI UNTUK TRANSAKSI DAN ANALISIS INVENTORI Damayanti, Cynthia; Mustafid, Mustafid; Sarwoko, Eko Adi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 1 (2011): Volume 1 Nomor 1 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol1iss1pp9-15

Abstract

This research aim to developed an inventory information system which integrated convensional data records with an analysis system based on inventory theories to answer questions about supplying stock, i.e. the latest inventory counts, prediction of future sales, when to order supply and how much to order these supply. In this research, purchasing and selling data records that usually seperated, had been integrated into an inventory database so up to date inventory list can be shown at demand. Furthermore, with data of past time sales, system will predict future sales using Least Square Linear Regretion method and Moving Average method. Inventory analysis will determine the Economic Order Quantity and Reorder Cycles for single item and multi item. An early warning also will notify user when an item reach the reorder point. This information system software that can be used to answer similar inventory problems in retail or warehouse company. As addition, research shown that sales with increasing/decreasing pattern had a more accurate prediction using Linear Regretion, while Moving Averages are better for stable sales. Research also shown multi items order collectively for the same supplyer more cost beneficial rather than single item orders.