The Development of Knowledge Management System at CV Magna Initiatives using APQC Process-Based Knowledge Mapping and APQC Knowledge Management Maturity Level

Akmal, Izzane Muhammad (2025) The Development of Knowledge Management System at CV Magna Initiatives using APQC Process-Based Knowledge Mapping and APQC Knowledge Management Maturity Level. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

In a highly competitive environment, organizations must ensure their internal processes operate efficiently, especially those involving people. At Magna Partners, knowledge plays a central role in maintaining smooth and well-coordinated business operations, which led to the development of a structured Knowledge Management System. The initial phase involved grouping business units into 13 clusters and mapping their core activities using the APQC Process Classification Framework to identify overlaps, gaps, and knowledge flows. A knowledge gap analysis was then conducted by assessing urgency and availability across each process using a 0 to 5 scale, highlighting areas where critical knowledge was missing. To assess overall readiness, a maturity survey using the APQC Knowledge Management Maturity Model was completed by 89 respondents, revealing that Magna Partners is currently at Level 3 or standardize, where formal initiatives exist but infrastructure and documentation remain inconsistent. To ensure alignment with real workflows, the system design followed Soft Systems Methodology through rich picture mapping, CATWOE analysis, and swimlane diagrams. Based on this, a roadmap was developed using the APQC KM Implementation template, outlining short, mid, and long-term actions. Additionally, the management has committed to raising all maturity scores below 3.2 to the Standardize level within the next year, prioritizing structured improvements in budgeting, measurement, content, and tool integration to achieve a more sustainable KM system.
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Dalam lingkungan yang sangat kompetitif, organisasi harus memastikan proses internal mereka beroperasi secara efisien, terutama yang melibatkan manusia. Di Magna Partners, pengetahuan memainkan peran sentral dalam menjaga kelancaran dan koordinasi operasional bisnis, yang mendorong pengembangan Sistem Manajemen Pengetahuan yang terstruktur. Tahap awal melibatkan pengelompokan unit bisnis ke dalam 13 klaster dan pemetaan aktivitas inti mereka menggunakan Kerangka Klasifikasi Proses APQC untuk mengidentifikasi tumpang tindih, kesenjangan, dan aliran pengetahuan. Analisis kesenjangan pengetahuan kemudian dilakukan dengan menilai urgensi dan ketersediaan di setiap proses menggunakan skala 0 hingga 5, yang menyoroti area di mana pengetahuan penting belum tersedia. Untuk menilai kesiapan secara keseluruhan, survei kematangan menggunakan Model Kematangan Manajemen Pengetahuan APQC dilakukan oleh 89 responden, yang mengungkapkan bahwa Magna Partners saat ini berada di Level 3 atau standarisasi, di mana inisiatif formal telah ada tetapi infrastruktur dan dokumentasi masih belum konsisten. Desain sistem mengikuti Metodologi Sistem Lunak melalui pemetaan gambar kaya, analisis CATWOE, dan diagram swimlane. Berdasarkan hal ini, peta jalan disusun menggunakan templat Implementasi Manajemen Mutu (KM) APQC, yang menguraikan tindakan jangka pendek, menengah, dan panjang. Selain itu, manajemen berkomitmen untuk meningkatkan semua skor kematangan di bawah 3,2 ke level Standarisasi dalam tahun berikutnya, dengan memprioritaskan perbaikan terstruktur dalam penganggaran, pengukuran, konten, dan integrasi alat untuk mencapai sistem KM yang lebih berkelanjutan.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Sistem Manajemen Pengetahuan, Peta Manajemen Pengetahuan, Tingkat Kematangan Manajemen Pengetahuan, dan Peta Jalan pengembangan.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD30.2 Knowledge management.
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Izzane Muhammad Akmal
Date Deposited:	30 Jul 2025 03:59
Last Modified:	30 Jul 2025 03:59
URI:	http://repository.its.ac.id/id/eprint/123171

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