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ANALISIS MODAL MANUSIA DAN MODAL INFORMASI TERHADAP KINERJA KARYAWAN DAN IMPLIKASINYA PADA KINERJA OPERASIONAL Evan Nugraha; Sumeidi Kadarisman; Kosasih Kosasih; Vip Paramarta
Journal of Economic, Bussines and Accounting (COSTING) Vol 7 No 5 (2024): Journal of Economic, Bussines and Accounting (COSTING)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v7i5.12339

Abstract

Dalam sebuah organisasi bahwa sumber daya manusia menempati posisi penting dalam usaha untuk mencapai tujuan organisasi yang telah direncanakan. Tujuan organisasi akan dapat dicapai melalui kinerja karyawan dalam keberhasilan mengelola kinerja operasional perusahaan. Dalam konsep kontemporer, konsep resources diubah menjadi capital, sehingga di perkenalkan istilah human capital, information capital, dan organization capital. Berangkat dari permasalahan tersebut di beberapa perusahaan khususnya perusahaan distributor alat kesehatan, maka dilakukan penelitian tentang pengaruh modal manusia (X1) dan modal informasi (X2) terhadap kinerja karyawan (Y) dan implikasinya terhadap kinerja operasional (Z). Setelah dilakukan pra survey diperoleh nilai rata-rata variable X1 terhadap variabel Y sebesar 50% dengan kriteria cukup, nilai rata-rata variable X2 sebesar 51% dengan kriteria baik, nilai rata-rata variable Y terhadap variabel Z sebesar 61% dengan kriteria baik, dan nilai rata-rata variable Z sebesar 27% dengan kriteria baik dengan dipengaruhi oleh variabel X1, X2, dan Y. Berdasarkan permasalahan yang telah dijelaskan diatas perlu ditingkatkan. Dari hasil penelitian diperoleh kesimpulan bahwa semua variabel independent baik melalui intervening berpengaruh terhadap variabel depenend.
ANALYSIS OF THE EFFECTIVENESS OF DEMAND DATA PATTERNS AND LOTTING TECHNIQUES BASED ON EXPERIMENTAL DESIGN Evan Nugraha; Rini Mulyani Sari
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i3.7351

Abstract

Lot sizing technique is a method of determining the size of a lot in a procurement process. Lot sizing technique has been extensively analyzed by experts, as ordering costs, holding costs, and lot sizes have a significant impact on the total ordering cost. One of the many lot sizing techniques is the Groff algorithm, which is rarely used. Other lot sizing techniques include the Wagner-Whitin algorithm, Silver-Meal algorithm, Least Unit Cost, Least Total Cost, Part Period Balancing, Period Order Quantity, and Lot for Lot. Simulation data was collected from a real company, including ordering and holding costs, and demand data was generated with four different demand patterns: increasing, decreasing, random, and stationary. The initial analysis concludes that the Silver-Meal algorithm and Groff algorithm have relative biases that are close to the Wagner-Whitin algorithm. The second analysis concludes that for lot sizing techniques, the calculated F-value (84.3) is larger than the table F-value (2,1), indicating a significant influence of lot sizing techniques on the relative bias percentage. Furthermore, the analysis of demand patterns shows that the calculated F-value (80.0) is larger than the table F-value (2,6), indicating a significant influence of demand patterns on the relative bias percentage.
Implementasi Project Quality Management dan Perancangan Proses Bisnis Pada Milestone First Years Inspection dan di Proyek Konstruksi di PT PLN Nusantara Power Nasep Nirwan Batubara; Evan Nugraha; Hendy Suryana; Oviyan Patra
Jurnal Pendidikan Indonesia Vol. 6 No. 8 (2025): Jurnal Pendidikan Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i8.8497

Abstract

This study aims to evaluate the implementation of Project Quality Management (PQM) in the First Year Inspection (FYI) milestone of the Muara Tawar Add-On Combined Cycle Power Plant (PLTGU) Block 2 project, and to design an integrated business process using the lean construction approach. A mixed-methods research design was applied, combining observation, in-depth interviews, and document analysis. The findings reveal that the PQM implementation, based on PMBOK 7 principles—namely Quality Planning, Quality Assurance, and Quality Control—was mostly at a “partial fit” level due to non-standardized documentation and delays in corrective actions. The FYI business process was mapped using Value Stream Mapping (VSM) and Big Picture Mapping (BPM) to classify value-added (VA), non-value-added (NVA), and necessary non-value-added (NNVA) activities. Of the 23 total activities analyzed, 14 were identified as value-added, while 2 were classified as wasteful. The main causes of inefficiency included waiting time, unnecessary inventory, and excessive transportation. These were mitigated through the integration of collaborative spreadsheets and improved stakeholder coordination. The study emphasizes the importance of having a single source of truth in defect monitoring among project stakeholders (owner, contractor, consultant) to enable better communication and decision-making. Results demonstrate that the resolution of FYI pending items was completed earlier than the planned schedule, validating the effectiveness of integrating lean construction tools to enhance PQM outcomes in power plant construction projects.
Increasing The Competitive Advantage of PT. XYZ Through Product Differentiation For HVAC Chiller (HRS) Systems Amnas Ridho Pane; Oviyan Patra; Evan Nugraha; Hendy Suryana
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.v6i1.51977

Abstract

This document discusses the product differentiation strategy implemented by PT. XYZ to increase competitive advantage in the HVAC industry, especially chiller systems with Heat Recovery System (HRS). In the context of fierce competition, companies need to understand customer needs and create products that offer unique added value. This study uses quantitative methods to analyze important variables in attracting and retaining customers. The results show that focusing on product differentiation and service improvement can increase customer loyalty and, ultimately, sales volume. This research is expected to make a theoretical and practical contribution to the development of effective marketing strategies in the refrigeration industry.
Improving the Performance of the Army Planning and Budget Staff at the Army Headquarters Through the Implementation of a Planning Information System Oviyan Patra; Laurensius Chrisma; Evan Nugraha; Hendy Suryana
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.v6i1.51981

Abstract

This study aims to analyze the relationship between technology, organization, and human resources variables and the effectiveness of the Planning Information System (SISFOREN) usage at the Army Headquarters (MABESAD), assess the impact of SISFOREN effectiveness on the performance of the planning department, and identify obstacles faced during implementation. A quantitative approach using the Technology Acceptance Model (TAM) was employed, with data collected through structured surveys distributed to planning and budgeting staff members. The findings reveal that technology does not significantly influence effectiveness (), attributed to implementation challenges and users' limited technical understanding. In contrast, organization positively impacts effectiveness (), highlighting the importance of structured communication and organizational support. Human resources also significantly affect effectiveness (), emphasizing the critical need for comprehensive training programs. Furthermore, the effectiveness of SISFOREN significantly enhances planning performance (), demonstrating improvements in data monitoring, decision-making speed, and administrative efficiency. However, obstacles such as inadequate technology integration, user skill gaps, and unsupportive organizational structures persist. The study contributes to understanding information system implementation in military contexts and provides practical recommendations for optimizing SISFOREN's deployment. Addressing these identified issues is essential for maximizing SISFOREN's implementation success and improving its overall efficiency in supporting the Indonesian Army's planning and budgeting operations.
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.
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.