LASWI, AISHIYAH SAPUTRI
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Journal : ILKOM Jurnal Ilmiah

Perbandingan Algoritma Fitness of Spring dan Algoritma Tabu Search pada Kasus Penjadwalan Perkuliahan Laswi, Aishiyah Saputri
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2014.388 KB) | DOI: 10.33096/ilkom.v12i1.522.39-46

Abstract

The compilation of lecture schedules is very important at universities for the continuity of the teaching and learning process of study programs. Such as at Andi Djemma Palopo University, Informatics Engineering Study Program. Frequently occurring alternate lectures to change course schedules is a complex thing considering the pre-existing schedule is well organized. But with the lectures, it is usually difficult to determine schedules, days, hours, rooms, and classes so that, no alternate lectures are coinciding with other subjects. so that in this Case Study, the researcher compared two methods namely the Fitness Method and the Taboo Search Algorithm to see the performance when determining the replacement schedule. The values obtained from the results of the implementation of the two methods above, are with using the fitness method is 40 while for the taboo search the maximum value obtained is 15, based on the order of the schedule of previous courses and courses that will be replaced. Thus, the value obtained by using the taboo search method is in the normal category compared to the changing fitness method. Thus, the researcher can conclude that the value obtained by the taboo search is smaller so that, it is good to be used to determine scheduling.
The Application of Weighted Ranking Method Using Combination of ROC and CPI to Select Eligible Family for Keluarga Harapan Program Aids Laswi, Aishiyah Saputri; Ulvah, Ulvah; Dasril, Dasril
ILKOM Jurnal Ilmiah Vol 15, No 3 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i3.1614.465-472

Abstract

The Keluarga Harapan Program (KHP), a financial assistance, is a program launched by the government to deal with poverty in various regions of Indonesia by conducting direct surveys and collecting data on disadvantaged families in each region. However, the issue is that many recipients do not meet the appropriate criteria or are not categorized as recipients. The Composite Performance Index and Rank Centeroid algorithms are a solution in the selection process for the recipients for the KHP by carrying out the analysis and comparison stages of whether they are categorized as KM (Disadvantage Families) through several stages. The results obtained based on analysis for recipient selection with a minimum performance index coverage value of 70% can be categorized as eligible to receiv assistance. In this study, 50 KM data samples were taken with the highest assessment value 128.41. In the top tenth ranking of the highest score from the 50 data held indicated that they were truly entitled to receive PKH KM financial assistance. Before using this method, only around 40% was eligible recipients.