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The Effect of Branch Offices, ATMs, TPF, and Financing on Sharia Banking Market Share in Indonesia 2016-2020 Mahendra, Taufik; Putri, Syah
Proceedings of Universitas Muhammadiyah Yogyakarta Graduate Conference Vol. 2 No. 1 (2022): Strengthening Youth Potentials for Sustainable Innovation
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/umygrace.v2i1.482

Abstract

Islamic Bank is a bank that conducts activities based on the principles of Islamic law. The operational activities of Islamic banks in Indonesia were started in 1992 by PT Bank Muamalat Indonesia. And after that, Islamic banking continued to experience growth. With the growth of the Islamic banking company, the market share or market share of Islamic banking has also increased. This study aims to explain the effect of branch offices, ATMs, TPF, and financing on the market share of Islamic banking in Indonesia. This type of research is quantitative descriptive research with data obtained from secondary sources. Sampling was done by the purposive sampling technique. This type of research data is time-series statistical data on Islamic banking in Indonesia from 2016 until 2020. The method of analysis used is a linear regression of Ordinary Least Square (OLS) with the help of the Eviews 12 SV application. The results of data processing indicate that partially, branch offices, ATMs, and TPF have a significant effect on the market share of Islamic banking in Indonesia in 2016-2020. Meanwhile, financing has no significant effect on the market share of Islamic banking in Indonesia in 2015-2020. And simultaneously or simultaneously, branch offices, ATMs, deposits, and financing affect the market share of Islamic banking in Indonesia.
Non-Gaussian Analysis of Herbarium Specimen Damageto Optimize Specimen Collection Management Yaman, Aris; Kartika, Yulia Aris; Indrawati, Ariani; Akbar, Zaenal; Manik, Lindung P.; Wardani, Wita; Djarwaningsih, Tutie; Mahendra, Taufik; Saleh, Dadan R.
Knowledge Engineering and Data Science
Publisher : citeus

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Damage to specimen collections occurs in practically every herbarium across the world. Hence, some precautions must be taken, such as investigating the factors that cause specimen damage in their collections and evaluating their herbarium collection handling and usage policy. However, manual investigation of the causes of herbarium collection damage requires a lot of effort and time. Only a few studies have attempted to investigate the causes of herbarium collection damage. So far, the non-gaussian approach to detecting the causes of damage to herbarium specimens has not been studied before. This study attempted to explore the effect of species type, time, location, storage, and remounting status on the level of damage to herbarium specimens, especially those in the genus Excoecaria. Gaussian modeling is not good enough to model the counted data phenomenon (the amount of damage to herbarium specimens). Negative binomial regression (NBR) provides a better model when compared to generalized Poisson regression and ordinary Gaussian regression approaches. NBR detects non-uniformity in the storage process, causing damage to herbarium specimens. Natural damage to herbarium specimens is caused by differences in species and the origin of specimens.