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Measurement of the Zakat Transparency Index of Amil Zakat Institutions (LAZ) in Banten Province, Indonesia Fatoni, Ahmad; Fakhrudin, Muhamad
Li Falah: Journal of Islamic Economics and Business Vol. 6 No. 1 (2021): June 2021
Publisher : Institut Agama Islam Negeri Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31332/lifalah.v6i1.2262

Abstract

As an institution that manages social funds, transparency must be met for the Amil Zakat Institution. By measuring the zakat transparency index, the Amil Zakat Institution can find out the extent of the implementation of transparency in the organisation. Information disclosure to the public is believed to increase public confidence in paying zakat at the Amil Zakat Institution. This study aims to measure the zakat transparency index of the Amil Zakat Institution in Banten Province. The Simple Additive Weighting (SAW) method is used to calculate the transparency index of zakat institutions. The Simple Additive Weighting (SAW) method is a multiple attribute retrieval method, where the weight of each predetermined dimension is multiplied by each variable weight, then added up. The results showed that the Amil Zakat Institution in Banten Province was included in the reasonably transparent category with an index of 0.706.
MONITORING VOLTAGE AND TEMPERATURE PARAMETERS AT SMARTPHONE SOLAR CHARGER STATIONS USING GOOGLE SPREADSHEET Fakhrudin, Muhamad; Jamaaluddin
Journal for Technology and Science Vol. 2 No. 2 (2025): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v2i2.423

Abstract

Objective: Consumption of electronic devices, particularly smartphones, is on the rise, leading to a significant reliance on electrical energy by humans. However, the battery of your smartphone may deplete rapidly with daily usage from morning till night. To cater to individuals with high mobility and outdoor tendencies, a charging station has been developed. Method: This station utilizes two sensors, namely PZEM-004T and DHT 22, which are then processed by the NodeMCU ESP 8266. The NodeMCU ESP 8266 generates temperature, current, and voltage readings, which are displayed on a 20x4 LCD screen and transmitted via Google Spreadsheet. Results: The sensor data accuracy is impressive, with the DHT 22 sensor achieving 98.2% and the PZEM 004T sensor reaching 94.5%. Based on the test results, it can be concluded that this tool effectively facilitates monitoring during the operation of solar panels. Novelty: To cater to individuals with high mobility and outdoor tendencies, a charging station has been developed.