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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

Penerapan Algoritma Elephant Herding Optimization (EHO) pada Masalah Hybrid Flowshop Scheduling (HFS) Ahmad Kamsyakawuni; Khurnia Palupi; Agustina Pradjaningsih
Journal of Applied Informatics and Computing Vol 4 No 1 (2020): Juli 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (717.361 KB) | DOI: 10.30871/jaic.v4i1.1834

Abstract

The industry is the driving force for the economy in Indonesia. One of the problems faced by industrial companies in the production process is determining the production schedule. The production schedule that is not according to the specified target can cause losses to the company. Scheduling is the allocation of resources to carry out a set of work at a specified time. The problem solved in this article is hybrid flowshop scheduling (HFS), it’s will be applied to companies engaged in bread making. A solution to solve the HFS problem using elephant herding optimization (EHO) algorithm. For the company to complete the production process by minimizing makespan, effective scheduling is needed, taking into account the number of parallel machines. The results of this article are 9 jobs and makespan 11.270 seconds using the MATLAB software.
Penerapan Goal Programming untuk Optimalisasi Penjadwalan Jam Kerja Satuan Pengamanan Pradjaningsih, Agustina; Rohmatul Aulia, Indriyani; Riski, Abduh
Journal of Applied Informatics and Computing Vol. 7 No. 1 (2023): July 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i1.5322

Abstract

One common challenge in security system management is the scheduling of security guards' work. Proper work scheduling is essential to prevent physical and psychological fatigue, which can negatively impact their performance. The scheduling process is influenced by factors such as the number of security personnel and the shift arrangements. This study aims to apply the goal programming method to optimize the scheduling of security guards. The research utilizes LINGO 17.0 software for assistance. The research process includes problem identification, data collection, determination of variables and parameters, formulation of goal programming models, solving these models using LINGO 17.0 software, analysis of the results, and the compilation of work schedules for security guards. The study's findings indicate that the established constraints have been met, and the number of working hours and days off for security guards has been optimized, resulting in an efficient schedule.