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PENERAPAN ALGORITMA GENETIK UNTUK OPTIMASI SISTEM INFORMASI PENJADWALAN KULIAH (STUDI KASUS PROGRAM STUDI SISTEM INFORMASI UNIVERSITAS KOMPUTER INDONESIA) Effendi, Muhammad Ridwan; Agustino, Rano; Mauluddin, Syahrul
JIK: Jurnal Ilmu Komputer Vol 4, No 02 (2019): JIK : JURNAL ILMU KOMPUTER
Publisher : Lembaga Penerbitan Universitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/komp.v4i02.3139

Abstract

The college scheduling activity is a routine activity every semester that is very complicated and draining the mind. In the current system, the information system study program of Indonesian computer universities has used a lecture scheduling information system application for the college scheduling process. However, the application has a disadvantage, namely the scheduling process is still done by manually selecting space, days and hours, and has not implemented the optimization algorithm for the scheduling process, so the scheduling process still requires a long time and is not optimal. Given the importance of this scheduling process, it is necessary to do the optimization steps for scheduling lectures appropriately so that the process of scheduling lectures is faster and schedule conflicts can be minimized so that teaching and learning activities can run well. For this research, we intend to apply genetic algorithms to the scheduling process with the aim of optimizing the lecture scheduling process in the information systems study program. In this research method, the stages of the research will be described as the system development method, research location, and data collection techniques.      The results of this study are that there are no more conflicting schedules after 10 trials were marked with fitness with a value of 0. The conclusion of this research is that by applying genetic algorithms to the college scheduling application, the process of scheduling lectures can be done automatically until there is no schedule conflict and out of 10 experiments, the average time for lecturing schedule was 58.454 seconds (less than 1 minute) and the average was achieved in generation 1,2,3. Keywords: genetic algorithms, lecture scheduling, chromosomes
E-Budgeting Applications Design and Analysis using an Object-Oriented Approach for The Aircraft Service Company Sidik, Rangga; Heru, Indra Septian; Mauluddin, Syahrul
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 2 (2021): July 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i2.3069

Abstract

This study aims to analyze and design an e-budgeting application at an aircraft service company in Indonesia. This aircraft service company has a budget management division plan in preparing budget planning and monitoring budgets. In its implementation, the current system procedure has experienced several errors including 1) slow data processing; 2) budget monitoring is not running according to procedure; and 3) the system is not integrated with one another. The method used in this research is a case study while the data were collected through interviews and direct observation. The analysis and design used object-oriented approach with the Unified Modeling Language as a tool. In addition, the system development model used in designing the system is prototype. The result of this research is an e-budgeting application which can facilitate the program management division of aircraft service companies in budget planning and monitoring of budgets effectively and efficiently. The proposed e-budgeting has been designed, built, and tested using the black box testing method. Every function that is part of the requirements for the budget management system has been fulfilled 100%. The activity flow of the budget submission process to validation and confirmation can be carried out properly. The results show that the proposed E-budgeting application gives an alternative solution to solve their known issues compared to the budgeting existing system before