Prediksi Waktu Penyelesaian Produksi Konveksi UMKM K-OSKU Menggunakan Algoritma Decision Tree

Reynaldy, M. Adam and Sulyono, Sulyono (2025) Prediksi Waktu Penyelesaian Produksi Konveksi UMKM K-OSKU Menggunakan Algoritma Decision Tree. Skripsi thesis, Institut Informatika dan Bisnis Darmajaya.

[img] Text
Cover.pdf

Download (65kB)
[img] Text
Halaman Pernyataan.pdf

Download (1MB)
[img] Text
Halaman Persetujuan.pdf

Download (19MB)
[img] Text
Halaman Pengesahan.pdf

Download (9MB)
[img] Text
Halaman Persembahan.pdf

Download (133kB)
[img] Text
Halaman Motto.pdf

Download (132kB)
[img] Text
Halaman Intisari.pdf

Download (133kB)
[img] Text
Halaman Abstract.pdf

Download (141kB)
[img] Text
Daftar Isi.pdf

Download (126kB)
[img] Text
BAB 1.pdf

Download (145kB)
[img] Text
BAB 2.pdf

Download (160kB)
[img] Text
BAB 3.pdf

Download (767kB)
[img] Text
BAB 4.pdf

Download (356kB)
[img] Text
BAB 5.pdf

Download (72kB)
[img] Text
Daftar Pustaka.pdf

Download (72kB)
[img] Text
Lampiran.pdf

Download (4MB)

Abstract

K-OSKU is a micro, small, and medium enterprise (MSME) in the apparel manufacturing sector, specializing in custom and ready-made T-shirt production. The company produces high-quality blank T-shirts in various sizes and colors, serving personal, community, and business needs. A primary service is T-shirt personalization using Direct-to-Film (DTF) printing, a contemporary technique that yields vibrant, detailed, and durable fabric designs. With a team of four employees, K-OSKU prioritizes quality, customer satisfaction, and operational flexibility. The enterprise fulfills orders ranging from single customized pieces to large batches, serving both individuals and organizations. Beyond blank T-shirts and DTF printing, K-OSKU has diversified its product offerings to address broader market demands. To address key operational needs, particularly accurate production completion time forecasting, which is vital for workflow planning and efficiency, this study focused on applying the Decision Tree algorith. By introducing a data driven approach to predict completion times, the research aims to directly support better time management and operational decision-making in K-OSKU’s production process.

Item Type: Thesis (Skripsi)
Subjects: Ilmu Komputer
eSkripsi
Divisions: Skripsi/TA & PKPM/KP - Fakultas Ilmu Komputer > Teknik Informatika
Depositing User: M Adam Reynaldy
Date Deposited: 08 Dec 2025 02:43
Last Modified: 08 Dec 2025 02:43
URI: http://repo.darmajaya.ac.id/id/eprint/23346

Actions (login required)

View Item View Item