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Implementasi Metode Scor Digital Standard di Proyek Bendungan Cijurey Paket 1 Teddi Apriyadi; Oviyan Patra; Hendy Suryana; Evan Nugraha
Jurnal Impresi Indonesia Vol. 4 No. 10 (2025): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i10.7022

Abstract

Pembangunan bendungan merupakan proyek infrastruktur strategis yang memiliki manfaat besar bagi pengendalian banjir, penyediaan air baku, irigasi, serta energi listrik. Namun, proyek konstruksi bendungan memiliki tingkat kompleksitas tinggi dan rentan terhadap berbagai risiko rantai pasok, seperti keterlambatan pengiriman material, fluktuasi harga, kualitas material yang tidak sesuai, serta kendala komunikasi dan logistik. Penelitian ini bertujuan untuk menganalisis dan meningkatkan kinerja rantai pasok pada Proyek Bendungan Cijurey Paket 1 melalui implementasi metode Supply Chain Operations Reference (SCOR) Digital Standard. Pendekatan yang digunakan adalah metode campuran (mixed methods) dengan analisis kuantitatif untuk mengukur kinerja rantai pasok pada indikator RL.2.6, RL.3.15, RL.3.16, Inventory Turnover (ITO), dan Days of Inventory (DOI), serta analisis kualitatif untuk mengidentifikasi akar penyebab permasalahan menggunakan metode 5 Why dan Fishbone Diagram. Hasil evaluasi awal menunjukkan bahwa skor komposit kinerja rantai pasok berada pada tingkat 62,4% atau kategori “cukup”, dengan kelemahan utama pada aspek keandalan pengiriman dan biaya rantai pasok. Melalui rancangan strategi perbaikan berbasis SCOR Racetrack, House of Risk (HOR), serta simulasi Monte Carlo, penelitian ini menyajikan rekomendasi mitigasi risiko yang dapat meningkatkan keandalan, efisiensi, dan efektivitas rantai pasok proyek. Kontribusi penelitian ini tidak hanya memperluas penerapan SCOR DS dalam konteks proyek konstruksi, tetapi juga memberikan panduan praktis bagi manajer proyek dan pemangku kepentingan dalam mengelola risiko rantai pasok pada proyek infrastruktur skala besar.
Analisis Faktor Manajemen Proyek dan Dinamika Pasar Dalam Memprediksi Kesuksesan Proyek di PT. TGE (Studi Kasus di Divisi Non Core Field Services Turbo Machinary) Waris Riyanto; Evan Nugraha; Oviyan Patra; Hendy Suryana
Jurnal Impresi Indonesia Vol. 5 No. 1 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i1.7406

Abstract

Persaingan bisnis yang semakin ketat dan target market yang meningkat membuat  perusahaan untuk selalu berinovasi dalam kegiatan bisnisnya. Salah satu inovasi yang sering dilakukan perusahaan adalah melakukan ekspansi ke bidang lain yang bukan merupakan bisnis utamanya. Dalam menjalankan bisnis barunya terutama yang berupa proyek, membuat perusahaan harus mengoptimalkan management project untuk diimplementasikan dalam berbagai aspek proyek. Memperhatikan pentingnya implementasi pengetahuan manajemen proyek terhadap kesuksesan proyek, dan meningkatkan target market yang lebih luas, sehingga penulis melakukan penelitian yang bertujuan untuk mengetahui aspek pengetahuan manajemen proyek yang berpengaruh terhadap kesuksesan proyek non-core terhadap perkembangan market  perusahaan. Sebagai studi kasus, penulis mengamati unit Divisi Field Services Di PT. Torishima Guna Engineering (PT. TGE) yang berinisiatif mengambil proyek yang bersifat non-core yakni konstruksi dalam rentang waktu 2021-2024. Jabatan struktural yang berfungsi sebagai Project Management Office (PMO) sendiri baru dialokasikan pada tahun 2021 di unit tersebut. Model penelitian ini berdasarkan pada framework Project Management Body of Knowledge (PMBOK) yang dikeluarkan oleh PMI. Dalam penelitian ini analisis data dilakukan menggunakan metode Partial Least Square - Structural Equation Modeling (SmartPLS) dan Importance-Performance Analysis (IPA). Data yang digunakan dalam penelitian adalah aspek pengetahuan manajemen proyek sebagai variabel bebas (Variabel Independen), kesuksesan proyek sebagai variabel terikat (Variabel Dependen) dan perkembangan market sebagai variable terikat. Hasil analisis SmartPLS dan IPA menunjukkan bahwa aspek pengetahuan manajemen proyek secara komprehensif memiliki korelasi positif terhadap kesuksesan proyek yang bersifat non-core pada perusahaan. Posisi masing-masing aspek pengetahuan manajemen proyek dalam kuadran IPA memberikan pemahaman di level manajerial untuk menentukan prioritas pengelolaan sumber daya.
Analysis of Delay Factors in EPC Power Plant Projects (Case Study: PLTMG Project in Sumbawa) Maulana Indra Gunawan; Hendy Suryana; Oviyan Patra; Evan Nugraha
Journal Research of Social Science, Economics, and Management Vol. 5 No. 2 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i2.1013

Abstract

Construction projects often face the risk of delays, which can affect cost, quality, and schedule performance. This research aims to analyze the factors causing delays in the Engineering, Procurement, and Construction (EPC) Gas Engine Power Plant (PLTMG) project in Sumbawa and to formulate improvement recommendations. The research employs the Partial Least Squares – Structural Equation Modeling (PLS-SEM) method with 67 respondents consisting of the project owner, contractor, and supervision consultant. The research variables include design, financial, resources, contractor, material, external, and owner as independent variables and time overrun as the dependent variable. The results show that the external factor has a positive and significant influence on project delays (? = 0.534; p = 0.000), which includes regulatory changes, extreme weather, permit delays, and socio-cultural influences. The owner factor shows a nearly significant effect (p = 0.092), while design, financial, contractor, material, and resource factors have no significant impact. The research model demonstrates good predictive capability (R² = 0.696; Q² = 0.516). Improvement recommendations focus on mitigating external factors, including establishing a legal team to monitor regulations, developing a flexible work schedule adapted to weather conditions, expediting permits through a dedicated liaison officer, and enhancing communication with the local community. These findings are expected to serve as a reference for stakeholders in managing delay risks in similar construction projects.
Preventive Maintenance and Financial Performance: Serial Mediation of OEE and Productivity in the Paper Industry Oviyan Patra; Firman Pratama; Evan Nugraha
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.384

Abstract

Background: The pulp and paper industry is capital-intensive and operates continuously, making equipment availability a critical determinant of corporate performance. Preventive maintenance is often regarded merely as a cost center, despite its significant potential as a strategic value-creating activity. Objective: This study aims to analyze the influence of preventive maintenance on the financial performance of PT Indah Kiat Pulp and Paper Serang Mill through the serial mediation of Overall Equipment Effectiveness (OEE) and paper machine productivity, offering a novel chain-mediation framework that connects maintenance activities to corporate financial outcomes. Methods: A quantitative approach was employed using Structural Equation Modeling Partial Least Squares (SEM-PLS) with SmartPLS, based on data from 120 internal respondents collected through a five-point Likert-scale questionnaire and triangulated with company operational and financial data. Results: All six hypotheses are statistically supported. Preventive maintenance positively affects OEE (β = 0.570); OEE affects productivity (β = 0.601); and productivity affects financial performance (β = 0.514). Serial mediation is confirmed: OEE mediates preventive maintenance → productivity, while productivity mediates OEE → financial performance. Full serial mediation yields an indirect effect of 0.176. Conclusion: These findings confirm a complete value-creation chain through a novel serial mediation model (preventive maintenance → OEE → productivity → financial performance), extending maintenance management theory by repositioning preventive maintenance as a strategic mechanism for sustainable corporate value creation in capital-intensive manufacturing industries.
Integrating Digital SCOR and Quality Management in the Textile Industry Evan Nugraha; Rini Mulyani Sari; Rida Norina
International Journal of Management Science and Information Technology Vol. 6 No. 2 (2026): July - December 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i2.8314

Abstract

The growing complexity of textile supply chains has increased the need for digital capabilities that enhance operational coordination, process integration, and quality management. The integration of digital supply chain standards with quality management remains important for improving supply chain outcomes in the textile industry. This study examines the relationship between the SCOR Digital Standard (SCOR DS) and Supply Chain Performance (SCP), with Quality Management (QM) serving as a mediating mechanism. A quantitative explanatory approach was employed using data from 320 personnel involved in supply chain, production, quality, and operational activities in the textile industry. Data were collected through structured Likert-scale questionnaires and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). SCOR DS has a significant positive effect on QM (β = 0.454, p < 0.001) and SCP (β = 0.142, p = 0.009). QM also has a stronger positive effect on SCP (β = 0.484, p < 0.001). Furthermore, QM significantly mediates the relationship between SCOR DS and SCP (β = 0.220, p = 0.007). Digital supply chain capabilities based on SCOR DS can strengthen supply chain performance, particularly when supported by effective quality management. The findings provide an integrated perspective for aligning digital SCOR practices with quality management to improve textile supply chain performance.