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Bankruptcy Prediction of E-Commerce Companies on IDX Using Altman Z-Score, Springate, and Zmijewski Yuantomi Rohmat Udin; Dika Puspitaningrum
Brilliant International Journal Of Management And Tourism Vol. 5 No. 3 (2025): October: Brilliant International Journal Of Management And Tourism
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/bijmt.v5i3.5440

Abstract

The growth of Indonesia’s e-commerce sector has been accompanied by significant challenges related to financial sustainability. Despite rapid expansion, several technology-based companies in the e-commerce subsector have recorded persistent losses, raising concerns about bankruptcy risks. This study aims to assess the probability of bankruptcy among e-commerce technology companies listed on the Indonesia Stock Exchange (IDX) by applying three analytical models: Altman Z-Score, Springate, and Zmijewski. The research employs a descriptive quantitative approach using documentation analysis of published financial statements. Findings reveal that each model produces varying levels of sensitivity in identifying financial distress. The Altman Z-Score and Zmijewski models emphasize capital structure and liquidity aspects, making them more effective in capturing solvency-related issues. In contrast, the Springate model prioritizes operational efficiency, offering a different perspective in evaluating financial performance. The analysis indicates that PT Goto Gojek Tokopedia Tbk and PT Global Niaga Tbk are consistently categorized within the bankruptcy zone across most models, while PT Bukalapak.com Tbk presents fluctuating outcomes depending on the model applied. These results highlight the importance of employing multiple predictive tools to strengthen the accuracy of bankruptcy assessments. The combined use of the three models serves as an early warning mechanism that provides valuable insights for both corporate management and external stakeholders. Furthermore, the study underscores the role of bankruptcy prediction in testing the going concern assumption, thereby assisting decision-makers in formulating preventive strategies and risk management policies to safeguard financial stability within Indonesia’s e-commerce sector.
IMPLEMENTASI SYSTEM INVENTORY MANAGEMENT BERBASIS SPREADSHEETS PADA STARTUP DESAIN INTERIOR DI KARANGANYAR: STUDI KASUS PADA EFISIENSI DAN AKURASI PENCATATAN Yuantomi Rohmat Udin
Jurnal Media Akademik (JMA) Vol. 3 No. 9 (2025): JURNAL MEDIA AKADEMIK Edisi September
Publisher : PT. Media Akademik Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62281/f5d31h70

Abstract

Pengelolaan persediaan merupakan elemen penting dalam menjaga kelancaran operasional perusahaan, termasuk pada skala startup yang memiliki keterbatasan sumber daya. Pencatatan manual yang masih banyak digunakan sering menimbulkan masalah seperti keterlambatan pembaruan data, selisih antara stok fisik dan catatan, serta laporan yang tidak konsisten. Penelitian ini bertujuan untuk menjelaskan implementasi sistem manajemen inventory berbasis spreadsheets pada CV XYZ, sebuah perusahaan rintisan desain interior di Karanganyar, serta mengevaluasi dampaknya terhadap efisiensi dan akurasi pencatatan. Metode penelitian yang digunakan adalah kualitatif dengan pendekatan studi kasus, melalui teknik wawancara semi-struktur, observasi langsung, dan dokumentasi. Hasil penelitian menunjukkan bahwa sebelum sistem diterapkan, pencatatan masih bersifat manual dengan format tidak teratur dan rawan kesalahan. Setelah penerapan spreadsheet, terjadi perubahan signifikan pada alur kerja, di mana setiap transaksi dicatat secara real-time dengan formula otomatis serta validasi data untuk mencegah duplikasi. Temuan penelitian menunjukkan adanya peningkatan efisiensi berupa penghematan waktu input dan pencarian data, serta peningkatan akurasi melalui berkurangnya selisih stok. Implikasi penelitian ini menegaskan bahwa spreadsheet dapat menjadi alternatif efektif dan ekonomis bagi startup sebelum beralih ke sistem yang lebih kompleks, sekaligus mendukung literatur mengenai solusi sederhana dalam pengelolaan persediaan.
Analisis Sistem Manajemen Inventori Material Konstruksi Berbasis Cloud dan Real-Time Yuantomi Rohmat Udin; Dika Puspitaningrum
Prosiding Seminar Nasional Ilmu Manajemen Kewirausahaan dan Bisnis Vol. 2 No. 2 (2025): Desember : Prosiding Seminar Nasional Ilmu Manajemen Kewirausahaan dan Bisnis
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasimkb.v2i2.228

Abstract

The construction industry faces major challenges in managing material inventory, particularly among start-up companies that still rely on paper-based manual records. Such practices often lead to data inconsistencies, delays in decision-making, and project inefficiencies. This study aims to analyze the implementation of a cloud-based and real-time inventory management system utilizing spreadsheets at PT X, a start-up contractor located in Karanganyar, Central Java. The research employs a qualitative case study approach, with data collected through direct observation, semi-structured interviews with finance staff, logistics administration staff, and the project manager, as well as documentation of material inflows and outflows. The findings reveal that the use of cloud-based spreadsheets enhances data transparency, facilitates real-time monitoring between field and office, and accelerates stock opname validation. The system also supports more responsive decision-making regarding material reordering and request postponements. Nevertheless, several obstacles remain, including limited digital literacy among staff, potential input errors, and reliance on internet connectivity. Theoretically, this research contributes to the literature on accounting information systems and inventory management in small-scale construction sectors. Practically, it demonstrates that low-cost cloud solutions can improve operational efficiency and serve as a foundation for developing more integrated systems in the future.