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Analisis Produktivitas Dump Truck Pada Storage Alternative Fuel And Raw Material Dengan Metode Cycle Time Reza Ananda Putri; Tri Andi Setiawan; Aditya Maharani
Proceedings Conference On Design Manufacture Engineering And Its Application Vol 8 No 1 (2024): Proceedings Conference On Design Manufacture Engineering And Its Application
Publisher : Proceedings Conference On Design Manufacture Engineering And Its Application

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33863/cdma.v8i1.2898

Abstract

This research reviews the planning and implementation of alternative fuel facilities at PT. Semen Gresik Rembang Factory, with a focus on storage and transportation efficiency of alternative fuels using the cycle time calculation method. This new facility is designed to increase the efficiency and smoothness of the cement production process, especially in the use of Alternative Fuel and Raw Material (AFR). By applying cycle time calculations, the time required to transport product waste from storage to the apron belt feeder with a dump truck can be determined more precisely. The results of the research show that the time required to use product waste in storage is 12 days, with a total cycle time from storage to apron of 16.68 minutes (0.3 hours) and requires 2 dump trucks to meet the needs of the apron belt feeder in one shift. The implementation of this method is expected to expedite the production process and increase operational efficiency at the Semen Gresik Plant Rembang Factory.
Comparative Analysis of Bid Pricing Strategies in E-Procurement Ship Docking Tenders in Indonesia Using the Friedman and Gates Models Maulana Fariz Baharudin; Fitri Hardiyanti; Aditya Maharani
JOURNAL OF SOCIETY INNOVATION AND DEVELOPMENT Vol 8 No 1 (2026): JSID: November 2026
Publisher : Winaya Inspirasi Nusantara Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63924/jsid.v8i1.300

Abstract

Indonesia's shipbuilding sector has significant maritime potential; yet escalating rivalry in ship docking tenders necessitates that contractors establish bid prices sufficiently low to get contracts while still ensuring a satisfactory profit margin. Research Objective: This research seeks to compute and evaluate optimal markup values and anticipated profits using the Friedman and Gates bid price strategy models to determine the best competitive model for e-procurement ship docking tenders in Indonesia. The study employs quantitative comparison analysis with finalized ship docking tender data from the LPSE Ministry of Transportation database for the years 2021 to 2023. Methodology: Following the application of selection criteria, the research examined 22 ship docking tender samples from 27 shipyard contractors, using single-normal and multi-normal distribution methods to estimate winning probabilities, optimal markups, and expected profits. Key Findings: The findings indicate that the Friedman model utilizing a multi-normal distribution yields the lowest optimal markup values, between 5% and 20%. In contrast, the Friedman single-normal distribution results in 12% to 13%, the Gates multi-normal distribution ranges from 6% to 20%, and the Gates single-normal distribution consistently maintains a value of 17%. Key Findings: Consequently, the Friedman model with a multi-normal distribution is recognized as the optimal bidding method for enhancing the likelihood of winning bids by offering a more competitive bid price. The results suggest that shipyard contractors may use past tender data and bidding models to achieve a balance between competitiveness and profitability, mitigate price uncertainty, and enhance strategic decision-making in public ship docking bids.