PENGEMBANGAN SISTEM KNOWLEDGE MANAGEMENT BERBASIS MODEL KNOWLEDGE MANAGEMENT CYCLE (KMC) EVANS, DALKIR, DAN BIDIAN (2015) DI PUSAT INDUSTRI DIGITAL INDONESIA 4.0, KEMENTERIAN PERINDUSTRIAN

BEY HARJUN SUJONO, . (2025) PENGEMBANGAN SISTEM KNOWLEDGE MANAGEMENT BERBASIS MODEL KNOWLEDGE MANAGEMENT CYCLE (KMC) EVANS, DALKIR, DAN BIDIAN (2015) DI PUSAT INDUSTRI DIGITAL INDONESIA 4.0, KEMENTERIAN PERINDUSTRIAN. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Transformasi industri 4.0 di Indonesia menghadapi berbagai tantangan, salah satunya adalah rendahnya kesiapan industri dalam mengelola pengetahuan secara efektif. Indeks kesiapan transformasi industri Indonesia baru mencapai angka 2,14 dari skala 4 yang mencerminkan kesiapan nasional yang masih tergolong sedang. Pusat Industri Digital Indonesia 4.0 (PIDI 4.0), sebagai institusi yang berperan dalam akselerasi transformasi digital industri, belum memiliki sistem pengelolaan pengetahuan (Knowledge Management) yang terstruktur. Permasalahan diperparah oleh komunikasi manual serta beban kerja tinggi yang hanya ditangani oleh satu orang Humas untuk menjawab pertanyaan berulang dari stakeholder. Penelitian ini bertujuan untuk mengembangkan sistem Knowledge Management di PIDI 4.0 berbasis Knowledge Management Cycle (KMC) Evans, Dalkir, dan Bidian (2015) di PIDI 4.0, yang mencakup enam tahapan: Identify-Create, Store, Share, Use, Learn, dan Improve. Sistem dikembangkan melalui integrasi chatbot berbasis rule-based dan metode decision tree melalui WhatsApp Business PIDI 4.0, serta dilengkapi dengan Booklet Knowledge Management sebagai luaran pendukung. Evaluasi formatif dilakukan melalui uji ahli materi, ahli media, pengguna, dan ahli Knowledge Management. Hasil penelitian menunjukkan bahwa sistem mampu menyampaikan informasi secara responsif dan relevan, serta mendorong proses pembelajaran aktif. Refleksi dari fase Learn menunjukkan peningkatan pemahaman stakeholder terhadap isu transformasi industri 4.0 dan layanan PIDI 4.0. Chatbot terbukti efektif sebagai media Knowledge Management dalam menjawab kebutuhan informasi secara tepat sasaran dan berkelanjutan, serta mendukung proses kolaborasi dan peningkatan kapabilitas industri. ***** The transformation towards Industry 4.0 in Indonesia faces various challenges, one of which is the low readiness of industries in managing knowledge effectively. Indonesia’s industry transformation readiness index currently stands at 2.14 out of 4, indicating a moderate national preparedness level. The Indonesia 4.0 Digital Industry Center (PIDI 4.0), as a government institution tasked with accelerating digital industrial transformation, has yet to implement a structured Knowledge Management (KM) system. This problem is exacerbated by manual communication methods and a high workload handled by a single public relations officer who responds to repetitive stakeholder inquiries. This research aims to develop a Knowledge Management system at PIDI 4.0 based on the Knowledge Management Cycle (KMC) model by Evans, Dalkir, and Bidian (2015), which consists of six stages: Identify-Create, Store, Share, Use, Learn, and Improve. The system is developed by integrating a rule-based chatbot using a decision tree method via PIDI 4.0’s WhatsApp Business, and is supported by a Knowledge Management booklet as an external output. Formative evaluations were conducted through expert reviews in content, media, user experience, and knowledge management. The results indicate that the system delivers relevant and responsive information, while also encouraging active learning among stakeholders. Reflections from the Learn phase show improved understanding among stakeholders regarding Industry 4.0 transformation and PIDI 4.0 services. The chatbot has proven effective as a KM medium in addressing information needs accurately and sustainably, while also supporting collaboration and capacity building in the industrial sector.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Diana Ariani, M.Pd; 2). Kunto Imbar Nursetyo, M.Pd.
Subjects:	Manajemen > Manajemen Sumber Daya Manusia Teknologi dan Ilmu Terapan > Teknologi (umum) Teknologi dan Ilmu Terapan > Teknologi (umum) > Teknologi Pendidikan
Divisions:	FIP > S1 Teknologi Pendidikan
Depositing User:	Users 31376 not found.
Date Deposited:	26 Aug 2025 06:43
Last Modified:	26 Aug 2025 06:43
URI:	http://repository.unj.ac.id/id/eprint/62061

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