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PENGARUH DEBT TO EQUITY RATIO (DER) DAN PERTUMBUHAN PENJUALAN TERHADAP NILAI PERUSAHAAN PADA PT MAYORA INDAH TBK PERIODE 2013-2022 Septiani, Sindi; Sanjaya, Rudi
Journal of Research and Publication Innovation Vol 2 No 4 (2024): OCTOBER
Publisher : Journal of Research and Publication Innovation

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

Abstract

This research aims to examine the effect of Debt to Equity Ratio (DER) and sales growth on company value at PT Mayora Indah Tbk listed on the Indonesia Stock Exchange (IDX) for the period 2013-2022. The research method and type of data used in this study are quantitative and secondary data, and processed using the SPSS version 23 application. The sample used is data from the profit and loss, balance sheet, notes to the financial statements and stock overview of PT Mayora Indah Tbk for the period 2013-2022. The data analysis method used is the classical assumption test, multiple linear regression test, hypothesis test and coefficient of determination test (R2). The results of this study indicate that DER has an effect on company value as evidenced by a significant value of 0.003 <0.05 and sales growth has no effect on company value, this is evidenced by a significant value of 0.159> 0.05.  
RANCANG BANGUN GENERATOR SINYAL FISIOLOGIS EMG JARI KELINGKING DAN EOG MATA BERBASIS ARDUINO NANO Rachmat, Hendi Handian; Firdaus, Muhammad M.; Hernawan, Allyfa N.; Septiani, Sindi
Jurnal Media Elektro Vol 14 No 1 (2025): April 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.20762

Abstract

In this study, the design and implementation of a portable Arduino Nano-based physiological signal generator for pinky EMG and EOG eye movement (looking right and left) were carried out. The purpose of this study is to develop a device capable of storing and generating physiological signals, so that the device can serve as a substitute for test subjects. The physiological signal generator system was implemented by storing digital physiological signal data from test subjects in the internal memory of the Arduino Nano microcontroller, which also acts as the system's controller and processor. The signal conditioning system uses an MCP4725 module 12-bit resolution DAC, an LM358 OP-Amp as a non-inverting signal amplifier, a 20x4 LCD as the signal menu display, and a joystick module for selecting signal menus. The system was tested by comparing the signals generated by the signal generator with the physiological signal data recorded from test subjects (the data stored on the device). Based on the test results, the signal generated by the electronic device is visually ±100% identical to the recorded physiological signal data. The average amplitude difference is relatively small, with the smallest difference being 0.1 mV and the largest difference being 4.9 mV.