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All Journal Journal of Economic, Bussines and Accounting (COSTING) Jurnal Pendidikan Indonesia (Japendi) IIJSE
Evan Nugraha
Universitas Jenderal Achmad Yani
Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

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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.
Co-Authors Hendy Suryana Kosasih Kosasih Nasep Nirwan Batubara Oviyan Patra Rini Mulyani Sari Sumeidi Kadarisman Vip Paramarta