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Komparasi Indeks Saham Syariah Indonesia (ISSI) Sebelum dan Saat Pandemi Covid-19 feren; taufiq andre
Journal Of Islamic Economics And Finance Vol 1 No 1 (2021): Volume 1 Nomor 1 Tahun 2021
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/jief.v1i1.3730

Abstract

Corona Virus Dieases 2019 (Covid-19) has become a global pandemic that has hit almost all countries. No exception, Indonesia is also the place where the epidemic has hit. Apart from the health sector, the economic sector is one of the sectors most affected as well. This can be seen in the country's economic recession and the decline in the stock price index. This research aims to determine the comparison of the Islamic stock index before and during the Covid-19 pandemic. Method this research is to use quantitative descriptive analysis method using paired sample t-test. The research was conducted from March 1, 2019 to March 1, 2021. The results showed that the increase in the number of Covid-19 cases did not significantly affect the movement of the Indonesian Sharia Stock Index (ISSI) so there was no significant difference between average prices. ISSI shares before and during the Covid-19 pandemic. With the results of this study, it is hoped that it can provide a reference for investors to choose and invest in Islamic stocks, because the strength of Islamic stocks is quite good.
Implementation of Fuzzy Linear Programming (FLP) on Optimizing the Production of Vegetable Rice and Lontong in Warung Makan Ibu Eni Herianto, Tulus Joseph; Feren; Nurhalimah, Aisyah; Br. Sembiring, Melisa M.; Sembiring, James P.
Journal of Research in Mathematics Trends and Technology Vol. 5 No. 2 (2023): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v5i2.16833

Abstract

Sellers of vegetable rice and lontong want to increase production levels, but are hampered by determining the quantity of ingredients and the time to produce them. This research aims to optimize the production of vegetable rice and lontong using Fuzzy Linear Programming-Right Hand Side (FLP-RHS) by considering uncertainty in demand, raw material prices and production time. It is hoped that the research results can help sellers determine optimal production quantities. The research was conducted at Warung Makan Ibu Eni which is located on Jalan Sekip Gang Suropati, Medan Petisah District, Medan City, Indonesia. Data was obtained through direct interviews with the owner of Ibu Eni's food stall to obtain information regarding production time, raw material supplies, selling prices and daily production. Data is processed using FLP and using the POM-QM application. In order to obtain maximum profit, namely Rp. 812,070, 37.93 packs of vegetable rice must be produced and 52.3 packs of lontong must be produced.