eprintid: 76867
rev_number: 10
eprint_status: archive
userid: 12460
dir: disk0/00/07/68/67
datestamp: 2026-06-17 01:48:36
lastmod: 2026-06-17 01:48:36
status_changed: 2026-06-17 01:48:36
type: thesis
metadata_visibility: show
contact_email: muh.khabib@uin-suka.ac.id
creators_name: Nur Khodhori Mahesa Ananta, NIM.: 22106060001
title: PERANCANGAN APLIKASI REAL-TIME DYNAMIC SCHEDULING BERBASIS VENDOR UNTUK MEMBANTU PENENTUAN DUE DATE PESANAN (STUDI KASUS: DIVISI PPIC, CV FUTAKE INDONESIA, KLATEN)
ispublished: pub
subjects: 005.36.
divisions: jur_tind
full_text_status: restricted
keywords: Real-Time Dynamic Scheduling, Decision Support System,
Enumerasi Skenario, Weighted Tardiness, Parallel Machine Scheduling
note: Prof. Dr. Ir. Dwi Agustina Kurniawati, S.T., M.T., Ph.D., IPM,
ASEAN Eng. yang
abstract: The metal casting industry that adopts a make-to-order strategy faces
complex job shop scheduling challenges due to the high variation in orders,
processing durations, and due dates. CV Futake Indonesia, as a
manufacturing retailer of metal-derived products and street furniture,
manages orders through vendor partnerships using a scheduling mechanism
that still relies on the FCFS rule based on PO release dates. This approach
has not been able to accommodate the dynamic nature of order arrivals with
varying priority levels and due dates, resulting in 190 of 228 orders or 83%
experiencing completion delays in 2025. This research aims to design a webbased
Real-Time Dynamic Scheduling Application as a decision support
system that assists Job Estimators in determining proportional order due
dates. The application is built using HTML, CSS, and JavaScript within a
single-page application architecture running on localhost, integrating four
user roles: Job Estimator (Futake), Job Estimator (Vendor), Production
Supervisor, and Sales. The adopted approach combines a two slot parallel
vendor processing model, scenario enumeration, and a queue priority
constraint as a hard constraint, with the objective function of minimizing
ΔTW. Simulation results across four job datasets show that the system is able
to generate new job insertion recommendations along with completion time
and due date estimates that align with actual vendor conditions, while
functionality testing verified that all six main menus operate according to
specifications. This application is expected to become an adaptive,
collaborative, and integrated scheduling decision-making instrument
between Futake and its vendors.
date: 2026-05-29
date_type: published
pages: 247
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   Nur Khodhori Mahesa Ananta, NIM.: 22106060001  (2026) PERANCANGAN APLIKASI REAL-TIME DYNAMIC SCHEDULING BERBASIS VENDOR UNTUK MEMBANTU PENENTUAN DUE DATE PESANAN (STUDI KASUS: DIVISI PPIC, CV FUTAKE INDONESIA, KLATEN).  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/76867/1/22106060001_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/76867/2/22106060001_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf