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All Journal Jurnal Ilmiah Satyagraha Journal of Innovation Research and Knowledge
Eliza Arshandy
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Humanities Economics, Econometrics & Finance Education Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences

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DAMPAK DARI PROMOSI TERHADAP KEPUTUSAN PEMBELIAN MEREK M231 DI PT. RAMAYANA LESTARI SENTOSA, TBK PEMATANGSIANTAR Ernest Grace; Desi Susanti; Eliza Arshandy; Vivi Candra; Rosita Manawari Girsang
Journal of Innovation Research and Knowledge Vol. 4 No. 1: Juni 2024
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jirk.v4i1.7814

Abstract

A good marketing concept is when it is able to make promotion a component that supports consumer purchasing decisions from the results of the business being run. The purpose of the study was conducted to determine the effect of promotion on purchasing decisions for the fashion brand M231. The results showed that the promotion variable had valid criteria and also the purchase decision also had valid criteria. The reliability test shows that promotions and purchasing decisions have reliable criteria. Then the results of the coefficient of determination show that the ability of promotion to explain purchasing decisions is 41%, and has a strong correlation. While the rest is not the main variable discussed in this study. The results of the simple regression equation Y = 30.980 + 0.478X, this shows that promotion has a positive direction coefficient on purchasing decisions, while for the partial hypothesis test it shows that there is a positive and significant effect of promotion on purchasing decisions
ANALISIS FINANCIAL DISTRESS DENGAN MENGGUNAKAN METODE FULMER SCORE DAN ZMIJEWSKI SCORE PADA PT GOZCO PLANTATIONS, TBK Debi Eka Putri; Nelly Ervina; Eliza Arshandy; Anggraini Syahputri
Jurnal Ilmiah Satyagraha Vol. 8 No. 1 (2025): Jurnal Ilmiah Satyagraha
Publisher : Universitas Mahendradatta

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Abstract

This study aims to analyze the financial distress condition of PT. GozcoPlantations, Tbk using the Fulmer Score and Zmijewski Score methods anddetermine the more accurate method. The research data are secondary dataobtained from the Indonesia Stock Exchange website (www.idx.co.id). The dataanalysis techniques used are descriptive qualitative and comparative analyses. Theresults show that: First, the Fulmer Score method indicates that the company wasat risk of bankruptcy during the 2014-2023 period due to declining profits,negative operating cash flows and working capital, as well as decreased assets andequity. Second, the Zmijewski Score method indicates that the company was notat risk of bankruptcy due to reduced debts and its ability to generate profits. Third,the Fulmer Score method is more accurate in measuring bankruptcy risk, with80% of results in the danger zone compared to 20% for the Zmijewski Score.
METODE TAFFLER DAN ALTMAN Z-SCORE DALAM MENGUKUR FINANCIAL DISTRESS PADA PT TIRTA MAHAKAM RESOURCES, Tbk. Sepbeariska Manurung; Liper Siregar; Eliza Arshandy; Daud Immanuel Hutagalung
Jurnal Ilmiah Satyagraha Vol. 8 No. 1 (2025): Jurnal Ilmiah Satyagraha
Publisher : Universitas Mahendradatta

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Abstract

This study aims to predict the level of bankruptcy of a company using the Tafflerand Altman Z-Score methods at PT Tirta Mahakam Resources, Tbk. for the period 2015-2022and to determine the comparison of the accuracy and error rate of each method used, namelythe Taffler and Altman Z-Score methods. This study uses quantitative data by taking secondarydata accessed from the official website of the Indonesia Stock Exchange (www.idx.co.id). Thedata analysis technique used is descriptive qualitative and comparative analysis. The results ofthis study indicate that there are different results in predicting the level of bankruptcy producedusing the Taffler method in contrast to the Altman Z-Score method. This can be seen from thehighest level of accuracy is using the Altman Z-Score method with a percentage of 0% whilethe error rate is using the Altman Z-Score with a percentage of 100%. Thus it can be concludedthat the most suitable and accurate method in predicting Financial Distress is the Altman ZScoremethod.
Co-Authors Anggraini Syahputri Daud Immanuel Hutagalung Debi Eka Putri Desi Susanti Ernest Grace Liper Siregar Manurung, Sepbeariska Nelly Ervina Rosita Manawari Girsang Vivi Candra