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All Journal Fondasi: Jurnal Teknik Sipil Theta: Journal of Statistics
Mariana Feronica Damanik
universitas sultan ageng tirtayasa
Civil Engineering, Building, Construction & Architecture Transportation

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PENGARUH SUPPLY CHAIN MANAGEMENT (SCM ) TERHADAP DAYA SAING DAN KINERJA PROYEK PADA KONSTRUKSI GEDUNG BERTINGKAT TINGGI ( Studi Kasus : Proyek Konstruksi Gedung Bertingkat Tinggi di DKI Jakarta dan Tangerang) Andi Maddeppungeng; Rifky Ujianto; Mariana Feronica Damanik
Jurnal Fondasi Vol 8, No 1 (2019)
Publisher : JURUSAN TEKNIK SIPIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jft.v8i1.5394

Abstract

Penerapan supply chain management sangat diperlukan oleh industri konstruksi untuk meningkatkan daya saing yang berdampak pada kinerja perusahaan. Supply chain akan memberikan konstribusi terhadap efisiensi suatu pelaksanaan proyek, menurunkan biaya, dan memperbaiki penghantaran hasil akhir suatu produk atau jasa tepat waktu kepada pelanggan. Sehingga diharapkan dapat mempertahankan posisi bersaingnya dalam menghadapi kompetitor dan dapat meningkatkan kinerja perusahaan sesuai dengan target.Konsep penelitian ini, mengembangkan tiga dimensi supply chain management (aliran barang, uang,informasi), tiga dimensi daya saing (biaya, waktu, mutu) dan enam dimensi kinerja (biaya, waktu, kualitas,produktivitas, keselamatan kerja, lingkungan). Teknik pengumpulan data menggunakan kuesioner skala likert yang terdiri dari 44 indikator. Jumlah sampel dalam penelitian ini adalah 202 responden. Data diolah menggunakan software LISREL 8.8 (15 Day Trial) yang dianalisis melalui confirmatory factor analysis.Hasil menunjukkan bahwa pengaruh supply chain management terhadap daya saing adalah sebesar 0,50 atau 50%. Serta pengaruh supply chain management terhadap kinerja adalah sebesar 0,68 atau sebesar 68%. Sedangkan supply chain management berpengaruh besar dan signifikan terhadap kinerja melalui daya saing sebesar 0,14 atau 14%.
Robust Quality Control Implementation for Nickel Pig Iron Using Median Absolute Deviation Estimators Aditya Rahadian Fachrur; Chyntia Devi Octaviany; Wiwien Suzanti; Midia Rahma; Mariana Feronica Damanik; Ferdian Bangkit Wijaya
Theta: Journal of Statistics Vol 1, No 1 (2025): Available Online in March 2025
Publisher : Faculty of Engineering, Univesitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjs.v1i1.31481

Abstract

Nickel Pig Iron (NPI) is one of the main products of Indonesia's nickel-based industry, which is still expanding. Reducing production costs and guaranteeing product quality depends on maintaining a constant nickel content. The Median Absolute Deviation (MAD) estimator, which is resistant to outliers and non-normal distributions, is used in this study's control charts and process capability analysis. After 15 days of production, data was gathered and examined using capability indices and control charts based on MAD. According to the results, the process mean is not statistically in control since many points exceed the control borders, even while process variation stays within the control limits. Acceptable process precision was indicated by the process capability index CpMAD being above 1. However, the CpkMAD value below 1 suggests that the mean process output does not consistently meet the target specifications. These findings highlight the need for further investigation and process improvement to enhance quality consistency in NPI production.
Co-Authors Aditya Rahadian Fachrur Andi Maddeppungeng Chyntia Devi Octaviany Ferdian Bangkit Wijaya Midia Rahma Rifky Ujianto Wiwien Suzanti