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Journal : MEANS (Media Informasi Analisa dan Sistem)

Prediction of Domestic Passengers at Kualanamu International Airport Using Long Short Term Memory Network Sunardi, Sunardi; Dwiyanto, Dwiyanto; Sinambela, Marzuki; Jamaluddin, Jamaluddin; Manalu, Darwis Robinson
MEANS (Media Informasi Analisa dan Sistem) Volume 4 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (366.293 KB) | DOI: 10.54367/means.v4i2.566

Abstract

Domestic passenger forecasting provides key input into decisions of daily operation management and infrastructure planning of airports and air navigation services and for aircraft ordering and design. Planning for the future is one of the most important keys to success, forecasting is the way. The goal of this study to predict the number of domestic passengers at Kualanamu International Airport. The time-series data were employed from Badan Pusat Statistik (BPS). The result is then discussed in the context of the potential use of the proposed for a new perspective for the predicting of domestic passengers at Kualanamu International Airport, Indonesia. The machine learning approach using long short term memory (LSTM) presents a useful way of observing the domestic passenger predict the passenger time series.
A Review of Digital Image Classification Based on Fuzzy Logic Sinambela, Marzuki; Rahayu, Teguh; Darnila, Eva; Limbong, Tonni
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.127 KB) | DOI: 10.54367/means.v5i1.704

Abstract

Fuzzy logic has long been an important issue for in the field of computer science, computer vision, image processing, machine learning and control theory and mathematics. In this review paper, we also see that the basics of fuzzy logic as well as fuzzy logic system (Fuzzy Inference System) use as decision making technique under a linguistic view of fuzzy sets. In this study, we focused to review the fuzzy logic to classification of digital image. The aim of this study was to review the fuzzy logic algorithm for classification of image.