Dampak Lean Terhadap Transformasi Digital: Analisis Maturitas Industri 4.0 Memanfaatkan Pembelajaran Mesin

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  • 13 Aug
  • 2026

Dampak Lean Terhadap Transformasi Digital: Analisis Maturitas Industri 4.0 Memanfaatkan Pembelajaran Mesin

Revolusi industri keempat membawa peluang sekaligus tantangan digital baru bagi dunia bisnis.
Penelitian ini dilakukan untuk menganalisis status maturitas global Industri 4.0 guna mengidentifikasi
tren spesifik, tantangan utama, dan potensi pertumbuhan industri. Teknik pembelajaran mesin tingkat
lanjut diterapkan untuk menganalisis data, memproyeksikan peta jalan masa depan, serta memberikan
rekomendasi yang disesuaikan demi meningkatkan kemampuan pengambilan keputusan strategis
perusahaan. Tahap awal menggunakan Hierarchical Clustering untuk mengelompokkan data secara
terstruktur, dilanjutkan dengan evaluasi model Decision Tree (DT), Support Vector Machine, dan
Random Forest. Model Decision Tree (DT) terpilih sebagai model dengan performa terbaik dengan nilai
MSE 0,032, MAE 0,063, dan skor R2 sebesar 0,862. Hasil analisis kuantitatif menunjukkan bahwa
strategi optimasi jalur keputusan mampu meningkatkan level maturitas digital dari 1,177 menjadi
1,382, serta melalui jalur alternatif Efisiensi Waktu Perbaikan Deteksi Pemborosan meningkat
signifikan dari 0,754 menjadi 1,42. Terkait pengaruh Lean, ditemukan bahwa variabel lean bukan
merupakan faktor dominan yang memengaruhi skor maturitas secara langsung, melainkan lebih
berperan dalam menentukan arah strategi implementasi perusahaan. Kontribusi ilmiah utama
penelitian ini terletak pada integrasi model interdisipliner Digital Lean melalui algoritma Decision Tree
(DT) untuk memproyeksikan estimasi peningkatan skor maturitas digital secara transparan melalui
jalur intervensi yang terarah.

Unduhan

 

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