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All Journal Journal of Natural Sciences and Mathematics Research BAREKENG: Jurnal Ilmu Matematika dan Terapan Unisda Journal of Mathematics and Computer Science (UJMC) Zeta - Math Journal JURNAL AXIOMA : Jurnal Matematika dan Pembelajaran Square : Journal of Mathematics and Mathematics Education Journal of Mathematics: Theory and Applications JES-MAT (Jurnal Edukasi dan Sains Matematika) Journal Focus Action of Research Mathematic (Factor M) Journal of Holistic Medical Technologies
Seftina Diyah Miasary
Universitas Islam Negeri Walisongo Semarang
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Transportation Other

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Penerapan Model Profit-Loss Sharing untuk Investasi Modal Kecil Miasary, Seftina Diyah
Zeta - Math Journal Vol 6 No 1 (2021): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2021.6.1.1-5

Abstract

Islamic finance is a financial concept based on Islamic sharia. The underlying principle of Islamic finance is the prohibition of usury, gharar and masyir. In addition to these principles, the concept of Islamic finance which is built on the basis of justice makes many people tend to choose Islamic finance rather than conventional. In this article, we will discuss the Sharia investment model with a profit-loss sharing scheme as an alternative model to replace the practice of lending money at high interest by moneylenders in traditional markets (Rentenir scheme). Both models are applied in a lending transaction between traders and investors with a share of the results in the profit-loss sharing model of 5% and interest on loan repayments for the loan sharks of 20%. Furthermore, from each model the acquisition value is calculated in the form of the optimal portion / profit ratio for each trader and investor. The results obtained indicate that the earnings obtained by traders for the Sharia model are greater than those from the Rentenir model. Furthermore, the acquisition value of investors for the Sharia model is minus and the acquisition value of investors from the Rentenir model is 25.56%. The acquisition value of investors from the Rentenir model is very high, while in the Sharia model, investors experience losses. From these two parameters it can be concluded that the Sharia model with a profit sharing scheme is a model that benefits small traders, while the Rentenir model is a model that needs to be avoided because it is detrimental to traders and also uses the concept of usury which is forbidden in Islam.
Electrical Capacitance Volume Tomography (ECVT) for real-time brain activity monitoring: a comparative frequency analysis study Hanin Aisya Fakihati; Seftina Diyah Miasary; Marlin Ramadhan Baidillah
Journal of Holistic Medical Technologies (JHMT) Vol. 1 No. 2 (2025): June
Publisher : Konsorsium Pengetahuan Innoscientia (KOPINNOS)

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Abstract

Current brain imaging modalities such as CT scan and MRI, while providing excellent anatomical detail, have limitations in real-time functional brain activity monitoring. Electrical Capacitance Volume Tomography (ECVT) emerges as a promising non-invasive, cost-effective alternative for dynamic brain activity assessment. This study aims to evaluate the sensitivity of ECVT technology in detecting brain motor activity variations across different frequencies and determine the optimal frequency for brain wave fluctuation measurement. A 16-electrode ECVT helmet system was employed to monitor brain activity in subjects performing motor stimulation tasks including hand gripping, imagined movement, and control conditions (water and empty space). Measurements were conducted at three frequency variations: 500 kHz, 1 MHz, and 5 MHz. Data acquisition involved multiple channel combinations (C14-16, C14-15, C14-13, C14-12, C16-15, C16-9, C16-8, C16-10) with voltage peak-to-peak (Vpp) measurements recorded via oscilloscope. The 500 kHz frequency demonstrated the highest sensitivity in detecting brain activity variations. Distinct Vpp patterns were observed across different motor tasks, with imagined movement producing the highest values, indicating increased neural activity. The ECVT system successfully differentiated between active motor tasks and resting states. ECVT at 500 kHz frequency shows superior sensitivity for brain activity monitoring, offering a portable, low-cost alternative to conventional neuroimaging modalities for real-time functional brain assessment.
Co-Authors Emy Siswanah Fara Lukita Umul Amaliah Fika Riza Syifamillah Hanin Aisya Fakihati Isnawati, Ayus Riana Marlin Ramadhan Baidillah Marmu'asyifa, Hana Zhafira Novita Eka Chandra Tauki Rohman Muzaki Ulna, Jihan Ramadhani Ar-Raafi’ Umami, Riza Lathifatul