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All Journal BERKALA FISIKA Research Horizon
Sari, Devi Artika
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Arts Humanities Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Physics Social Sciences

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ANALISIS NILAI COMPUTED TOMOGRAPHY DOSE INDEX (CTDI) PHANTOM KEPALA MENGGUNAKAN CT DOSE PROFILER DENGAN VARIASI PITCH Sari, Devi Artika; Setiawati, Evi; Arifin, Zaenal
BERKALA FISIKA Vol 23, No 2 (2020): Berkala Fisika
Publisher : BERKALA FISIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (283.482 KB)

Abstract

The purpose of this study was to measure the value of computed tomography dose index (CTDI) using the CT dose profiler, to compare the values of CTDI obtained in the five holes within the head of polymethil-methacrylate (PMMA) phantom, and to analyze the effect of pitch on CTDI values. The CTDI values were measured with the pitch variations of 0.562, 0.938, 1.375, and 1.750. The phantom was scanned with fixed parameters of 120 kVp, 200 mAs, 10 mm width collimation, 150 mm scan length, and 0.50 s tube rotation. Measurements were conducted at Kensaras hospital using the CT scannner of GE Optima CT580 16 slice. The results showed that if the pitch increases, the CTDI will decrease (< 25 mGy). The highest CTDI is 55,36 mGy and it is found on a pitch of 0,562 at upper hole of phantom (B position), and the lowest CTDI is 11,9 mGy and it is found a pitch of pitch 1,750 within a hole at three o’clock position (C position). If the pitch < 1, then the high CTDI is obtained (> 50 mGy) and it takes longer to scan.
Green Innovation and Competitive Pressure as Drivers of Sustainable Performance in the Fashion Industry Isdiana, Firdha Nurul; Sari, Devi Artika; Batu, Kardison Lumban
Research Horizon Vol. 5 No. 3 (2025): Research Horizon - June 2025
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.5.3.2025.545-560

Abstract

The fashion industry, particularly the fast fashion segment, significantly contributes to environmental degradation through excessive resource use and waste. This study examines how competitive pressure, green product innovation, and green process innovation influence sustainable firm performance among fashion Micro, Small, and Medium Enterprises (MSMEs) in a region. Using the Natural Resource-Based View (NRBV) as a theoretical framework, the research highlights the strategic role of green innovation in building environmentally valuable, rare, inimitable, and non-substitutable (VRIN) capabilities. A quantitative method was employed, with data collected from 100 MSME actors via a structured questionnaire and analyzed using Covariance-Based Structural Equation Modeling (CB-SEM) in AMOS. The findings reveal that competitive pressure, as well as green product and process innovations, have a positive and significant effect on sustainable firm performance. Green product innovation, including eco-friendly materials and circular design, and green process innovation, such as waste-reducing technologies, are identified as crucial strategies for achieving environmental and business goals.
Co-Authors Evi Setiawati Isdiana, Firdha Nurul Kardison Lumban Batu Zaenal Arifin