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PERAN INKUBATOR BISNIS SIGER INNOVATION HUB TERHADAP PENGEMBANGAN UMKM KULINER DI BANDAR LAMPUNG Maulana, Ibnu Arya; Agung, Maulana; Harori, M. Iqbal
Jurnal Kompetitif Bisnis Vol. 1 No. 2 (2023): Jurnal Kompetitif Bisnis
Publisher : Jurusan Administrasi Bisnis, FISIP, Universitas Lampung

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ABSTRACTMicro, Small and Medium Enterprises (MSMEs) have an important role for the National economy. Behind such animportant role for the nation MSMEs still face various problems. This study aims to find out an in-depth picturerelated to Siger Innovation Hub business incubator services for MSME business development in the Culinary Sectorin Bandar Lampung with Reith-7S business incubator service indicators (space, shared, services, support, skilldevelopment, seed capital, and synergy). The method used in the research is a qualitative method and usesdescriptive analysis. Data collection was carried out by observing, in-depth interviews, and documentation. Theresults of this study is the services provided by the Siger Innovation Hub to tenants include consulting services,support, skill development, seed capital, synergy.. Some services are not provided optimally by Siger InnovationHub, such as the provision of space, and the provision of shared facilities.Keywords : Service, Business Incubator, Business Development, Micro, Small and Medium Enterprises (MSMEs)
ANALISIS PERBANDINGAN ALTMAN Z-SCORE, SPRINGATE S-SCORE DAN ZMIJEWSKI X-SCORE DALAM MENDETEKSI POTENSI KEBANGKRUTAN: ANALISIS PERBANDINGAN ALTMAN Z-SCORE, SPRINGATE S-SCORE DAN ZMIJEWSKI X-SCORE DALAM MENDETEKSI POTENSI KEBANGKRUTAN Pratiwi, Khofifah Dwi; Damayanti, Damayanti; Harori, M. Iqbal
Jurnal Kompetitif Bisnis Vol. 1 No. 3 (2023): Jurnal Kompetitif Bisnis
Publisher : Jurusan Administrasi Bisnis, FISIP, Universitas Lampung

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This study aims to find the most accurate predictive model for detecting potential bankruptcy in basic industrial and chemical manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2017-2021 period by comparing three models namely the Altman Z-Score, Springate S-Score, and Zmijewski X-score. Samples were taken using a purposive sampling technique and a sample of 26 companies was obtained. Data is taken through financial reports published by the company. Comparisons were made by conducting a One Way ANOVA test and analyzing the level of accuracy and error in each model prediction. The results showed that there were significant differences in the results between the Altman Z-Score, Springate S-Score, and Zmijewski X-Score models and based on the level of accuracy and error resulted that the Springate S-Score model had the highest accuracy rate of 96,15% and the the lowest error of 3,85%. So that the most accurate prediction model for detecting potential bankruptcy in basic sector and chemical manufacturing companies listed on the Indonesia Stock Exchange for the 2017-2021 period is the Springate S-Score.