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Optimization of Water Injection Pump (WIP) Maintenance at PT. Z Arlan Rachman; Oviyan Patra; Hendy Suryana; Evan Nugraha
Eduvest - Journal of Universal Studies Vol. 6 No. 1 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i1.51982

Abstract

In the competitive oil and gas industry, equipment reliability and operational efficiency are critical success factors. The availability of effective spare parts presents a significant challenge that must be addressed to prevent downtime and financial losses. The current problem involves a loss of approximately 100 barrels of oil per day (bopd) due to the failure of one water injection pump (WIP) unit. Therefore, an optimal WIP spare parts planning method is required to maintain operational reliability. This study addresses this issue by determining the reliability condition of WIP units, optimizing maintenance schedules, and selecting appropriate failure data distribution tests using time-to-failure (TTF) analysis. Maintenance optimization for WIP at PT. Z was conducted using Monte Carlo simulation with distribution selection methods, specifically the Bayesian Information Criterion (BIC) and Akaike Information Criterion (AIC). The simulation results revealed that WIP A is in the wear-out phase, whereas WIP B, C, D, and E are in the useful-life phase (WIP D and E with extended operational periods). Based on Monte Carlo simulation results for five WIP types operated over 15 years, optimal maintenance intervals were determined: day 1691 for WIP A, day 1729 for WIP B, day 2160 for WIP C, day 3629 for WIP D, and day 3629 for WIP E from initial operation. Implementing planned maintenance has the potential to significantly reduce costs associated with each WIP unit failure. These research findings can be applied to other equipment to achieve potential cost savings from unplanned maintenance.
Analysis of Strategic Cooperation Between PT. Pindad and MBDA (Matra Bae Dynamics Alenia) in Building Competitive Advantage for the Production of the Mistral Atlas Platform Dodo Irmanto; Oviyan Patra; Hendy Suryana
Eduvest - Journal of Universal Studies Vol. 5 No. 12 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i12.52559

Abstract

This research aims to analyze the strategic cooperation between PT. Pindad, an Indonesian defense company, and MBDA (Matra Bae Dynamics Alenia), a leading missile systems company from France, in the development and production of the Mistral Atlas platform. This cooperation represents a crucial step in enhancing Indonesia's national defense capacity, particularly in addressing increasingly complex aerial threats. The research examines the collaboration process, technical challenges encountered, and the impact of this partnership on product innovation, competitive advantage, and company performance. The results of Structural Equation Modelling (SEM) analysis indicate that the strategic alliance between PT. Pindad and MBDA has a significant positive impact on enhancing product innovation, as manifested in product value. This alliance not only improves PT. Pindad's employees' skills through technology transfer but also contributes to greater product differentiation, which directly strengthens the company's competitive advantage. Product differentiation, in turn, has a significant impact on PT. Pindad's financial performance, thereby boosting the company's competitiveness in the global defense industry market. This research identifies key factors influencing the success of this strategic cooperation, including alliance quality, goal alignment, and employee skills. Based on these findings, the research provides recommendations for further development in the defense industry, particularly in enhancing product innovation and strengthening competitiveness through effective strategic collaboration. Thus, this research is expected to contribute significantly to understanding strategic cooperation in the defense industry and to support efforts to increase Indonesia's defense self-reliance.
Designing an RFID System to Improve Stock Accuracy and Supply Chain Efficiency of PT Bap in the Context of Industry Digitalization 4.0 Bunga Ayu Pitaloka; Oviyan Patra; Rinto Yusriski; Hendy Suryana
Jurnal Impresi Indonesia Vol. 4 No. 9 (2025): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i9.7010

Abstract

This research focuses on designing a Radio Frequency Identification (RFID) system to enhance stock management accuracy and supply chain efficiency at PT Bap , a manufacturing company in the automotive sector. At present, PT Bap  still relies on manual inventory methods that are time-consuming, labor-intensive, and prone to recording errors, leading to inefficiencies in warehouse operations. Considering the large volume of part items, these inefficiencies create significant challenges for productivity and operational effectiveness. To address this, the research adopts a case study approach combined with benchmarking of PT TMMIN, a company that has successfully implemented RFID technology for inventory management. Data collection includes interviews, observations, and documentation of the inventory system at PT Bap , along with comparative studies on RFID adoption at PT TMMIN. The design integrates RFID devices with the existing Warehouse Management System (WMS), automating the inventory process. To strengthen the research foundation, the author also participated in Lean Manufacturing 4.0 training held by the Ministry of Industry of the Republic of Indonesia, which deepened knowledge of digitalization and automation principles in Industry 4.0. The expected outcomes include improved stock accuracy above 90%, inventory time reduction of up to 50%, and lower dependence on manual labor. Ultimately, RFID implementation contributes to operational efficiency and supports digital transformation in the automotive industry
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.
Implementation Of The Scor Digital Standard Method In The Cijurey Dam Package 1 Project Teddi Apriyadi; Oviyan Patra; Hendy Suryana; Evan Nugraha
Journal Research of Social Science, Economics, and Management Vol. 5 No. 3 (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.v5i3.1084

Abstract

Abstract Dam construction projects face various challenges in supply chain management that can affect the success of the project. This study aims to analyze the implementation of the SCOR Digital Standard (DS) method in improving supply chain performance in the Cijurey Dam Package 1 Project. The research method uses qualitative and quantitative approaches by implementing SCOR Racetrack including the Engage, Define, Analyze, Plan, and Launch stages. The results showed that the baseline performance of RL.2.6 Delivery Performance to Commit Date only reached 73.33% of the target of 90%, Inventory Turnover (ITO) <1.1 times/year of the target ?2 times/year, and Days of Inventory (DOI) reached ±250 days exceeding the maximum target of 180 days. The root of the problem is identified through the 5 Why Analysis and Fishbone Diagram, namely the absence of consignment inventory and regular reconciliation meetings with vendors. The recommended improvement strategies include four improvement projects: Procurement Terms & Conditions Review, Freight Carrier Delivery Performance Evaluation, Regular Reconciliation Meetings, and Consignment Inventory. The implementation of this strategy is projected to increase RL.2.6 to ?90%, reduce the DOI to ?180 days, increase ITO to ?2 times/year, with financial benefits reaching Rp1.29 billion per year.
THERMO-MECHANICAL PARAMETER OPTIMIZATION VIA TAGUCHI DESIGN TO MINIMIZE OFF-MERGE DEFECTS AND ENHANCE POLYESTER FIBER UNIFORMITY Suryana, Hendy; Islam, Sifa Nurul
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 4 (2026): Volume 10, Nomor 4, August 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i4.55711

Abstract

Defect minimization remains a critical operational challenge in continuous polyester fiber manufacturing, where off-merge defects compromise fiber crystallinity and dye uniformity, leading to material downgrading. This study aims to optimize key heat-setting operational parameters—specifically heat-setter temperature and tow speed—to reduce off-merge defect rates in industrial polyester staple fiber production. Utilizing the Taguchi Design of Experiments (L4 orthogonal array) with three replications under commercial production conditions, process parameters were evaluated through Analysis of Variance (ANOVA) and Signal-to-Noise (S/N) ratio analysis under the “smaller-the-better” criterion. Results indicated that heat-setter temperature was the dominant factor influencing defect variability (39.02% contribution, F = 10.66), followed by tow speed (21.95% contribution, F = 6.00), whereas their interaction effect was statistically insignificant (9.76%). Optimal settings were identified at 200 °C temperature and 260 m/min tow speed. Confirmatory trials validated these parameters, reducing the off-merge defect rate from 11.50% to 8.25%, resulting in a net defect reduction of 3.25%. The findings demonstrate that higher thermal energy and optimized tension enhance molecular alignment and the consistency of dye uptake. Industrially, this study provides synthetic fiber manufacturers with an evidence-based, cost-effective optimization approach that significantly reduces scrap rates, improves yield efficiency, and supports sustainable quality engineering in large-scale production environments.