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All Journal Rekayasa Mesin Jurnal Locus Penelitian dan Pengabdian
Priyambodo, Singgih
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Aerospace Engineering Automotive Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Mathematics Mechanical Engineering

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STRENGTH CONSIDERATION ON CAR BODY MODIFICATION FOR PANORAMIC TRAIN Harnany, Dinny; Adista, Reyhan K. A.; Syaifudin, Achmad; Putra, Ary Bachtiar Krishna; Priyambodo, Singgih
Jurnal Rekayasa Mesin Vol. 15 No. 1 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i1.1510

Abstract

Modifying the car body structure from the existing train to another car body type requires an analysis of several factors. The strength of the design due to overload and the durability of the structures due to operational loads need to be re-evaluated. Furthermore, stiffness analysis also needs to determine the characteristics of the structure when it is not loaded. This study numerically analyzed the considerations in selecting the structural steel profile for modification of the existing car body into a panoramic type using the ANSYS Workbench R19. The underframe structure can still be used, and other structures are modified with the UNP profile. The side wall, and roof are changed in shape and size following the glass design of the panoramic train. The solid 3D model is rebuilt into a surface model to simplify the analysis. Static structural analysis is used to clarify the strength of the design under overload, a combination of static and transient structural analysis is applied to calculate the operating life, and modal analysis is chosen to figure out the stiffness. The simulation results showed that the modified design had met the needs and requirements based on the PM 175 standard of 2015 by the Indonesian Ministry of Transportation and the international standard EN-12663.
STRENGTH CONSIDERATION ON CAR BODY MODIFICATION FOR PANORAMIC TRAIN Harnany, Dinny; Adista, Reyhan K. A.; Syaifudin, Achmad; Putra, Ary Bachtiar Krishna; Priyambodo, Singgih
Jurnal Rekayasa Mesin Vol. 15 No. 1 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i1.1510

Abstract

Modifying the car body structure from the existing train to another car body type requires an analysis of several factors. The strength of the design due to overload and the durability of the structures due to operational loads need to be re-evaluated. Furthermore, stiffness analysis also needs to determine the characteristics of the structure when it is not loaded. This study numerically analyzed the considerations in selecting the structural steel profile for modification of the existing car body into a panoramic type using the ANSYS Workbench R19. The underframe structure can still be used, and other structures are modified with the UNP profile. The side wall, and roof are changed in shape and size following the glass design of the panoramic train. The solid 3D model is rebuilt into a surface model to simplify the analysis. Static structural analysis is used to clarify the strength of the design under overload, a combination of static and transient structural analysis is applied to calculate the operating life, and modal analysis is chosen to figure out the stiffness. The simulation results showed that the modified design had met the needs and requirements based on the PM 175 standard of 2015 by the Indonesian Ministry of Transportation and the international standard EN-12663.
Accuracy of Artificial Intelligence in Detecting Tuberculosis from Chest X-ray: A Systematic Review and Meta-Analysis of Diagnostic Performance Priyambodo, Singgih; Danardono, Iwan
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 1 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i1.5259

Abstract

Tuberculosis (TB) remains a major global public health challenge, particularly in low-resource countries where access to trained radiologists is limited, making Chest X-ray (CXR) screening difficult to scale. The advancement of Artificial Intelligence (AI) and Computer-Aided Detection (CAD) technology offers a potential solution by providing automated TB detection and supporting diagnostic workflows. To assess their clinical readiness, this systematic review and meta-analysis was conducted using the PRISMA 2020 protocol and included studies from PubMed, Scopus, and Semantic Scholar that evaluated AI-CAD systems (Index Test) against microbiological or extended reference standards (Reference Standard). The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2 and QUADAS-C) tools were applied to measure risk of bias, and a random-effects model was used to estimate pooled Diagnostic Odds Ratio (DOR). Six studies with approximately 38,940 participants were eligible for analysis. Results showed a pooled DOR of 0.133 (95% CI: 0.047–0.377), indicating a significantly lower diagnostic error rate (P=0.000). Although sensitivity was consistently high (83.3%–100%), specificity varied widely (26.8%–98.9%), resulting in notable heterogeneity and a wide prediction interval (0.003–6.411). These findings conclude that AI-CAD tools demonstrate strong potential for TB screening but should undergo local validation, threshold calibration, and operational evaluation before broad clinical implementation, especially where specificity remains below the WHO Target Product Profile.
Co-Authors Achmad Syaifudin Adista, Reyhan K. A. Ary Bachtiar Krishna Putra Harnany, Dinny Iwan Danardono, Iwan Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono