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Knowledge Management System Model Development for Higher Technical Vocational Education Eduardus Dimas Arya Sadewa; Romadhani Ardi; Amalia Suzianti
IPTEK Journal of Proceedings Series No 3 (2019): International Conference on Engineering Technology Advance Science and Industrial Appli
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1005.71 KB) | DOI: 10.12962/j23546026.y2019i3.5851

Abstract

Knowledge management extensively applied in enterprise because it significantly effect on enterprise effectiveness and innovation strategy. In order to create professionalism in form of competencies, education institution also implemented knowledge management concept. Education institution as a knowledge business is a suitable form for a knowledge management development, especially in vocational education. With practical approach methods and strong industrial relationship in order to improve their student skills, vocational education has plenty of knowledge sources to create knowledge as institutions intangible asset. From prior study, knowledge management system in vocational education is unstructured. This study focus in developed a KMS model in higher vocational education institution. The model showed that relation between organization environment and KM infrastructure effect on knowledge flow. KM assessment level and knowledge flow configured KM strategy to establish KM roadmap. The KMS model test on Polman Astra institution.
Model Pengaruh Knowledge Management terhadap Kinerja Logistics Service Provider Mohammad Ikrar Pramadi; Romadhani Ardi; Zulkarnain Zulkarnain
Jurnal Optimasi Teknik Industri (JOTI) Vol 3, No 2 (2021)
Publisher : Teknik Industri Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/joti.v3i1.7733

Abstract

Penelitian ini bertujuan untuk membuat model dan menguji faktor-faktor penting dalam implementasi Knowledge Management(KM) di perusahaan-perusahaan Logistics Service Provider(LSP) di Indonesia dan pengaruhnya terhadap kinerja LSP itu sendiri. Faktor-faktor penting yang menunjang implementasi KM untuk mencapai kinerja LSP yang diharapkan adalah budaya, struktur organisasi, strategi dan kepemimpinan, sumber daya manusia dan teknologi informasi. Kinerja LSP diukur berdasarkan pendekatan SCOR (Supply Chain Operation Reference). Validasi model penelitian dilakukan melalui wawancara semi terstruktur dengan ahli, sedangkan pelaksanaan survei dilakukan dengan menyebarkan kuesioner terhadap 63 perusahaan LSP di Indonesia yang menerapkan KM. Structural Equation Model(SEM) menggunakan Partial Least Square(PLS) digunakan dalam melakukan pengolahan dan analisis data. Hasil penelitian dihipotesiskan dapat menunjukkan bahwa faktor-faktor penting implementasi KM berpengaruh terhadap keberhasilan implementasi KM serta memberikan pengaruh terhadap kinerja LSP. Hasil penelitian ini ini memberikan bukti empiris untuk pentingnya implementasi KM di LSP di Indonesia. Temuan penelitian ini memberikan dasar untuk fokus pada faktor-faktor penting implementasi KM dalam menentukan strategi yang tepat untuk menunjang kinerja LSP yang lebih baik.
Evaluation of Critical Success Factors in The Indonesian Automotive Industry using DEMATEL-Based ANP to Implement Green Supply Chain Management Rivero, Max Dewar; Ardi, Romadhani
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 10, No 1 (2025): January 2025
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v10i1.2957

Abstract

 Analysis of Indonesian car production data in 2022 shows significant trend for increase in production and sales from year to year. The automotive industry in Indonesia is currently an important non-oil and gas sector which has a major contribution to the national economy. Currently, Indonesia has 22 four-wheeled motor vehicle industry companies. The higher the level of car production, the higher the CO2 emissions produced, and the higher the worldwide pressure to the countries to reduce the CO2 emission damage. Therefore car companies must implement Green Supply Chain Management (GSCM). However, the many criteria in GSGM implementation make it difficult for industry players to decide on the appropriate strategic decisions. The aim of this study is to find out the critical success factors in implementing GSCM in the Indonesian automotive industry and their interrelationship. The method used in this study is the Decision Making Trial and Evaluation Laboratory (DEMATEL) based on the Analytic Network Process (ANP). The results of this study show that the top five of 25 critical success factor in global weight are: top management perspective 4.86%, company competitiveness 4.57%, economic interest 4.55%, Using energy-efficient machinery and equipment 4.49% and Carbon footprint identification 4.48%.Keywords - Automotive Industry, Critical Success Factors, DEMATEL Based ANP, Green Supply Chain Management.
Mr Identifying Drivers and Barriers in The Involvement Of Integrated Township as an E-Waste Collection Hub: a Dematel-Based Anp Approach JANATRA, Faraz; ARDI, Romadhani
International Journal of Environmental, Sustainability, and Social Science Vol. 6 No. 2 (2025): International Journal of Environmental, Sustainability, and Social Science (Mar
Publisher : PT Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/ijesss.v6i2.1394

Abstract

The growth of urbanization in Indonesia has led to a significant increase in waste generation, including e-waste, which has a negative impact on the environment if not managed properly. Independent cities, as integrated areas with modern infrastructure, have the strategic potential to become hubs for e-waste collection. However, his involvement is still minimally studied. This study aims to identify and analyze the driving and inhibiting factors of independent city involvement in e-waste collection, as well as determine the cause-and-effect relationship and priority of each factor using the Content Validity Index (CVI), Modified Kappa, DEMATEL, and Analytic Network Process (ANP) methods. The results of the analysis showed that, among the driving factors, the Population dimension (HD) had the highest level of interconnectedness, while the Government dimension (GD) exhibited the greatest net influence. On the other hand, in the inhibiting factor, the Developer (DB) dimension has the highest level of relevance, while the Collector (CB) dimension has the greatest net influence, with the Government (GB) dimension also showing significant linkage and net influence values. In terms of weight, the primary driving factors were public acceptance of the collection program (0.094), the level of environmental knowledge (0.082), and government supervision (0.082). Meanwhile, the main inhibiting factors include the population's lack of waste sorting (0.087), tax policies that do not support collectors (0.084), and the absence of government collection standards (0.082).