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All Journal Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Jurnal Tekstil: Jurnal Keilmuan dan Aplikasi Bidang Tekstil dan Manajemen lndustri
Rosida, Alya
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Penanganan Peak Daerah 18 cm Menggunakan Pendekatan PDCA pada Mesin Drawing Finisher FA 306 A Rosida, Alya; Darmawi, Ahmad; Aribowo, Irham
Jurnal Tekstil Vol 6 No 2 (2023): Vol 6 No 2 Desember 2023
Publisher : Akademi Komunitas Industri Tekstil Dan Produk Tekstil Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59432/jute.v6i2.66

Abstract

Penelitian ini membahas mengenai kendala mekanik atau mechanical fault yang sering muncul pada mesin drawing finisher dalam proses produksi benang. Mechanical fault tersebut berada pada area drafting zone, meliputi wilayah callender roll, front roll, middle roll, dan back roll. Untuk mengidentifikasi letak permasalahan, digunakan perhitungan rumus berdasarkan pembacaan gearing diagram mesin drawing finisher. Meskipun perhitungan tersebut tidak memberikan hasil yang akurat secara langsung, namun perhitungan tersebut dapat membantu menyempitkan ruang lingkup permasalahan sehingga mekanik tidak perlu membongkar seluruh bagian mesin. Hasil uji keluaran spectograf menunjukan terdapat peak pada daerah 18 cm yang merupakan wilayah callender roll hasil uji menunjukan adanya penyimpangan batas standar yaitu sebesar 75% sedangkan untuk standar presentase peak berada pada batas standar 55%. Penyebab utama kemunculan peak adalah kesalahan penyetelan toleransi clearen gear. Penelitian ini bertujuan untuk menurunkan peak yang ada pada wilayah callender roll menggunakan metode Plan, Do, check, Action (PDCA) dengan menggunakan metode PDCA tergambar secara jelas dan rinci bagaimana penyelesaian peak khususnya pada daerah 10 cm yang memiliki penyimpangan batas standar sebesar 75% sehingga turun menjadi 25%.
Implementation of AHP in Establishing a Priority Scale for the Use of Operational Funds in BLUD Hospitals Rosida, Alya; Rahman, Andri Nur; Marliadi, Reny; Hasymi, Liana Fitriani; Hastuti, Eny
Dinasti International Journal of Economics, Finance & Accounting Vol. 6 No. 5 (2025): Dinasti International Journal of Economics, Finance & Accounting (November - De
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v6i5.5339

Abstract

There is a need to increase the effectiveness and efficiency with which the operational fund budget is managed at RSUD Brigjend H. Hasan Basry Kandangan. Declining revenue projections and limited resources mean that hospitals must determine budget priorities in an objective and measurable way. This research aims to analyse the application of the Analytical Hierarchy Process (AHP) method to determine operational fund budget priorities, providing recommendations to support more effective decision-making in a hospital environment. A qualitative approach was used, involving data collection through interviews and documentation, and analysis using the AHP method with the assistance of Expert Choice 11 software to compare criteria and service alternatives. The results showed that the main criteria for determining budget priorities are potential income, market demand, operational costs and limited resources. The analysis prioritised home care services due to their high revenue potential and market demand. The application of AHP has also been proven to increase the efficiency, transparency and accountability of budget decision-making processes. This study concludes that the AHP method can be an effective tool for BLUD Hospital's operational budget prioritisation process. It is recommended that the method be integrated into all work units and supported by training for optimal application.
Co-Authors Aribowo, Irham Darmawi, Ahmad Eny Hastuti, Eny Liana Fitriani Hasymi Rahman, Andri Nur Reny Marliadi