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ANALISIS METODE ALTMAN Z – SCORE DAN SPRINGATE TERHADAP PREDIKSI FINANCIAL DISTRESS PADA PT. POS INDONESIA PERIODE 2017 – 2023 Sanjaya, Rudi; Nurhidayah, Ina
RJABM (Research Journal of Accounting and Business Management) Vol 9, No 2 (2025)
Publisher : LPPM University 17 Agustus 1945 Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31293/rjabm.v9i2.8899

Abstract

This study aims to analyze the potential level of financial distress in PT. Pos Indonesia during the period 2017–2023 using two prediction models: Altman Z-Score and Springate. It also seeks to compare the accuracy levels of both models in predicting financial distress. Financial distress is a condition before bankruptcy that can harm many parties if not anticipated. This research uses a descriptive quantitative method with secondary data sourced from the company’s official annual reports. The results show that based on the Altman Z-Score model, PT. Pos Indonesia falls under the grey area category, indicating it is not yet bankrupt. However, according to the Springate model, the company is considered financially distressed. Of the two models, the Altman Z-Score demonstrates the highest accuracy at 42.58%, making it more reliable for predicting financial distress in this company.
Integrating Aspect-Based Sentiment Analysis with CSI–IPA for Telecommunications App Development Marshella, Siti Hariza; Kurniawan, Dedy; Oktadini, Nabila Rizky; Sanjaya, Rudi; Sevtiyuni, Putri Eka; Gumay, Naretha Kawadha Pasemah
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1363

Abstract

This study integrates Aspect-Based Sentiment Analysis with Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) to determine priority development features in digital service applications in the telecommunications sector. A total of 10,000 MyIM3 user reviews were analyzed using sentiment analysis with Pseudo-labeling and Fine-Tuned IndoBERT, then from the results of the analysis, negative sentiment was mapped into several topics using LDA. The topic is used to compile question indicators based on the five dimensions of SERVQUAL. After the questionnaire data is declared valid and reliable, CSI and IPA analysis is carried out. A CSI value of 79.22% indicates that user satisfaction is in the "borderline" category, but several aspects still need to be improved, especially system updates (RS3), application attention to user needs (E2), and feature personalization (E3) which are in quadrant I (Concentrate Here). This hybrid approach offers novelty by demonstrating how ABSA and LDA can be systematically integrated with CSI and IPA to provide more comprehensive and user-oriented insights. The limitations of this study include focusing on negative sentiment data for feature exploration, as it is most relevant for identifying problems and opportunities for improvement and development of telecommunication digital services.
The Ratio of Live Load to Dead Load on I-Girder Prestressed Concrete Bridges Using Theoretical and Numerical Analysis Sanjaya, Rudi; Aminullah, Akhmad; Suhendro, Bambang
ASTONJADRO Vol. 14 No. 4 (2025): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v14i4.19037

Abstract

Bridges are essential connectors between regions separated by geographical barriers, facilitating transport across national, provincial, and district roads. In Indonesia, the prestressed I-girder concrete bridge (PCI-Girder) is a widely used design, particularly for spans between 20 and 45 meters. These bridges are a common choice in toll road development projects, part of the national strategic plan to promote regional equity and support economic growth. Seismic loads influence the PCI-Girder bridge superstructure less, allowing consistent design practices concerning cross-sectional dimensions and concrete quality relative to span length. However, girder profiles and spacing variations have become prominent in Indonesia, significantly impacting load distribution and bridge performance. This study examines the effects of live load relative to dead load on PCI-Girder bridges with girder spacing variations of 1850 mm, 2100 mm, and 2450 mm for spans ranging from 20 to 45 meters, based on SNI 1725-2016 standards. Using theoretical calculations in Microsoft Excel and numerical analysis with Midas Civil software, the study highlights the influence of girder spacing on effective area, strand requirements, camber, and beam stress post-tensioning. The findings indicate that increased girder spacing enhances the effective area of composite sections but requires larger strand areas and higher concrete strength. Moment analysis reveals that for spans over 20 meters, dead load moments dominate live load moments, whereas for 20-meter spans, live load moments are more significant. As span length increases, the influence of dead loads becomes more prominent. The 2450 mm spacing variant also shows higher live-to-dead load moment and shear force ratios than other configurations, providing insights for optimizing PCI-Girder bridge designs.