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All Journal EINSTEIN (E-JOURNAL) Journal of E-business and Management Science
Ilham Sidiq
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Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences

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PROTOTIPE SAJADAH OTOMATIS ARAH KIBLAT DENGAN MIKROKONTROLER ARDUINO Abdul Rafid Fakhrun Gani; Yul Ifda Tanjung; Abdul Rasyid Fakhrun Gani; Aji Ibnu Khair; Muhammad Jaka Maulana; Ilham Sidiq
EINSTEIN (e-Journal) Vol 10, No 1 (2022): EINSTEIN (e-Journal)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (305.455 KB) | DOI: 10.24114/einstein.v10i1.27801

Abstract

Prayer is an obligation for Muslims in the context of worship, which means that a Muslim is obliged to pray even though he is in a vehicle. In carrying out prayers, there are several conditions for valid prayer, including facing the Qibla direction, scholars argue that facing the Qibla direction is a valid condition for prayer. However, when a Muslim prays in a vehicle, the relative qibla direction of the place changes as the vehicle turns direction. With the aim of making it easier for Muslims to carry out prayers in a vehicle "automatic prayer rug prototype with an Arduino microcontroller" using a CMPS 12 sensor as a Qibla direction detector and assisted by a dc motor that can direct the Qibla direction when the vehicle turns automatically.
Analysis of Potential Financial Distress Using the Altman Method (Z-Score), Springate Method (S-Score), and Zmijewski Method (X-Score) in Food and Beverage Companies Listed on the Indonesia Stock Exchange in 2019-2022 Adella; Winanti; Mega Indri Nurwati; Fida Maulida Natswa; Ilham Sidiq; Fajar Riyanto; Istajib Kulla Himmyázz
Journal of E-business and Management Science Vol. 2 No. 2 (2024): Desember 2024
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jems.v2i2.194

Abstract

This study aims to find out whether there is a score difference  between Altman, Springate, and Zmijewski's methods in predicting Financial Distress, as well as to find out which prediction model is the most accurate in predicting Financial Distress in manufacturing companies in the  food & beverage subsector. The data used in this study is the company's financial statements published on the Indonesia Stock Exchange. The sample in this study is 6 food and beverage companies listed on the Indonesia Stock Exchange for the 2019-2022 period. The sampling technique using nonprobability sampling is purposive sampling. This study compares the scores of three financial distress prediction models  using the accuracy of the prediction model by considering the level of accuracy and type of error. The results of this study show that there is a difference between the three prediction models. Zmijewski's model is the best with an accuracy rate of 1% and an error  type of 0%, the second is the springate model with an accuracy rate of 0.958% and an error  type of 0.041%, and the last is the Altman model with an accuracy rate of 0.083% and  an error  type of 0.916%.
Co-Authors Abdul Rafid Fakhrun Gani Abdul Rasyid Fakhrun Gani Adella Aji Ibnu Khair Fajar Riyanto Fida Maulida Natswa Istajib Kulla Himmyázz Mega Indri Nurwati Muhammad Jaka Maulana Winanti Yul Ifda Tanjung