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Comparison Of The Accuracy Of Corporate Bankruptcy Prediction Models (Study On Listing And Delisting Companies In Indonesia Stock Exchange) Siti Rahayu Amalia; Abd. Rakhman Laba; Andi Aswan
Jurnal Mirai Management Vol 8, No 2 (2023)
Publisher : STIE AMKOP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/mirai.v8i2.4760

Abstract

This a company is bankruptcy prediction method is needed by various parties, such as investors, accountants, governments, lenders, and management in order to predict the continuity of a company's operations in the future. Various bankruptcy prediction studies have been conducted to determine the most precise and accurate bankruptcy prediction model in predicting bankruptcy. This study aims to examine which of the Altman model, Zmijewski model, Springate model, CA-Score model, Grover model, and Ohlson model could significantly explain company bankruptcy and have the most accurate prediction accuracy. This research uses a descriptive quantitative approach. The sample is purposive sampling by taking 12 companies that were declared delisted from the Indonesia Stock Exchange in 2008-2022. The comparative sample is companies that are still listed on IDX with the same number and type, and randomly taken during the same period as the delisting company. The analysis technique in this research is binary logistic regression. The research results prove that of the six bankruptcy prediction models that can significantly explain company bankruptcy are the Zmijewski model, CA-Score model, and Ohlson model. However, the prediction model that has the most accurate level of prediction accuracy is the Zmijewski model. It is caused delisting companies that are the object of observation have a tendency of Earning After Taxes that obtained in a loss-profit or negative state and the amount of debt tends to be very large.. Keywords: delisting, bankruptcy prediction model, altman model, zmijewski model, springate model, ca-score model, grover model, ohlson model.
Analysis Of Telkom's Strategy And Business Model Fixed Broadband To Achieve Sustainable Competitive Growth Yuni Praticia Simarmata; Abd. Rakhman Laba; Andi Ratna Sari Dewi
SEIKO : Journal of Management & Business Vol 6, No 1 (2023): January - Juny
Publisher : Program Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/sejaman.v6i1.5083

Abstract

This study aims to understand the resource potential of doing Telkom's fixed broadband business, understand the environmental influences on Telkom's fixed broadband business, and determine the strategy and business model of Telkom's fixed broadband to achieve sustainable, competitive growth. This study used a descriptive analysis method with a case study strategy that combines the dominant qualitative approach (interviews, focus group discussions, and literature) and accompanied by quantitative data (questionnaire). The objects of research are Speedy existing customers in the cluster housing Griya Inti, Sunter, North Jakarta, to get feedback on the experience of existing fixed broadband services, and Broadband Division management as strategies and business models designers of fixed broadband services in Telkom Indonesia. The results of the analysis of internal and external evaluation matrix show that appropriate strategies for Telkom's fixed broadband business now are hold and maintain. While the results of the interviews and focus group discussions show that in order to achieve a sustainable competitive advantage in the fixed broadband business, the best service experience is very important. This conclusion is also consistent with the results of the analysis of the questionnaire related to Telkom's existing customer experience stating that the customer still feels less than getting a satisfactory service experience in using Telkom's fixed broadband products, while they are willing to pay more if Telkom is able to offer fixed broadband products of a higher quality and may ensure the best experience to the customer. Keywords: Sustainable Competitive Advantage, SWOT Analysis, fixed broadband.