Ichsan, Nur
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Islamic Banks’ Financial Stability and Its Determinants: a Comparison Study With Conventional Banks in Indonesia Pambuko, Zulfikar Bagus; Ichsan, Nur; Anto, MB. Hendrie
IQTISHADIA Vol 11, No 2 (2018): IQTISHADIA
Publisher : Ekonomi Syariah IAIN Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/iqtishadia.v11i2.3346

Abstract

The research aimed to analyze the stability of Islamic banking industry and its determinants in Indonesia. The same analysis was also done to the conventional banking industry as Indonesia practices dual banking systems. Using monthly data on Indonesian Banking Statistics for 2008-2013, this research implemented the Banking Stability Index (BSI) model for predicting the bank's stability. The analysis began with measuring BSI then using VECM to examine the effect of variables on BSI. The result showed that the BSI of both banking system was exhibiting the moderate level of stability though Islamic banking is more stable and safe way of financing than conventional banking. The shocks of inflation, exchange rate, efficiency, income diversity, liquidity, and Industrial Production Index responded positively by Islamic Bank' stability, while interest rate and market share responded negatively. In another hand, conventional bank' stability responded positively the shock of the exchange rate, income diversity, interest rate, liquidity, and market share, while other variables responded negatively. The results of shocking variables strongly indicated that the conventional banking is more vulnerable than Islamic banking. Islamic banking looked tend to the shock resistance and less volatile. This conclusion, however, might be still questioned as the BSI was not designed specifically for Islamic banking. Therefore, constructing an Islamic BSI (under Islamic banking characters) was important to measure the banking stability more appropriate and to develop a proper early warning system for Islamic banking industry.
MODEL LINEAR GOAL PROGRAMMING PADA PENJADWALAN PERAWAT UGD RUMAH SAKIT UMUM DAERAH KOTA SEMARANG Ichsan, Nur; Dwijanto, Dwijanto; Arifudin, Riza
Unnes Journal of Mathematics Vol 5 No 1 (2016)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v5i1.13114

Abstract

Scheduling of emergency room is quite a complicated issue for each hospital, including the RSUD Kota Semarang. Many methods can be used in the scheduling of nurses, including the Linear Goal Programming (LGP). The purpose of this study was to determine the form of the LGP model and comparison between manual scheduling and LGP model. The method used in this study is by changing the scheduling rules into a form of LGP models, then the model is solved with LINGO 14. In this model, the hospital rules should not be violated is called major constraints, while the rules may be violated at any time is called additional constraints. Additional constraints is a policy made by the head nurse to schedule in accordance with the conditions and needs of nurses. In this study there are 7 major constraints and 5 additional constraints. Based on calculations, obtained the nurse schedule for 31, 30, 29, and 28 days. From the analysis, LGP schedule for 31 days, 30 days, 29 days, and 28 days to meet all of the major constraints and additional constraints. While in manual schedule, the main constraints are met as much as 5 constraints. Then for the additional constraints are not met for all. From the analysis, LGP models can also be applied to the scheduling of nurses in the other room.