Jurnal
COMPARING NAIVE BAYES, K-NEAREST NEIGHBOR, AND NEURAL NETWORK CLASSIFICATION METHODS OF SEAT LOAD FACTOR IN LOMBOK OUTBOUND FLIGHTS
Jurnal Matematika, Statistika dan Komputasi · Vol. 16 No. 2 (2019) · pp. 187–198
- ISSN
- 2614-8811, 1858-1382
- Published
- 2019-12-19
- Publisher
- Department of Mathematics, Hasanuddin University
- Language
- en
Abstract
Classification is the process of grouping data based on observed variables to predict new data whose class is unknown. There are some classification methods, such as Naïve Bayes, K-Nearest Neighbor and Neural Network. Naïve Bayes classifies based on the probability value of the existing properties. K-Nearest Neighbor classifies based on the character of its nearest neighbor, where the number of neighbors=k, while Neural Network classifies based on human neural networks. This study will compare three classification methods for Seat Load Factor, which is the percentage of aircraft load, and also a measure in determining the profit of airline.. Affecting factors are the number of passengers, ticket prices, flight routes, and flight times. Based on the analysis with 47 data, it is known that the system of Naïve Bayes method has misclassifies in 14 data, so the accuracy rate is 70%. The system of K-Nearest Neighbor method with k=5 has misclassifies in 5 data, so the accuracy rate is 89%, and the Neural Network system has misclassifies in 10 data with accuracy rate 78%. The method with highest accuracy rate is the best method that will be used, which in this case is K-Nearest Neighbor method with success of classification system is 42 data, including 14 low, 10 medium, and 18 high value. Based on the best method, predictions can be made using new data, for example the new data consists of Bali flight routes (2), flight times in afternoon (2), estimate of passenger numbers is 140 people, and ticket prices is Rp.700,000. By using the K-Nearest Neighbor method, Seat Load Factor prediction is high or at intervals of 80% -100%.
Keywords
Collaboration network of the authors
22 authors · 35 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Islamic University of Indonesia
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Nahdah Ghina Handayani | Islamic University of Indonesia | 1 |
| Rinaldi Sjahril | Affiliation unknown | 1 |
| A. Sri Sartika Sufiina Ahmad | Affiliation unknown | 1 |
| Herlinda Yanasari | Affiliation unknown | 1 |
| Muh. Yunus Suria | Affiliation unknown | 1 |
| Nur Qadri Febrianti | Affiliation unknown | 1 |
| Nur Faizin | Affiliation unknown | 1 |
| Arum Handini Primandari | Affiliation unknown | 1 |
| Muhammad Bariklana | Affiliation unknown | 1 |
| Octavia Rahmawati | Affiliation unknown | 1 |
| Nanda Lailatul Humairah | Affiliation unknown | 1 |
| Ashabul Akbar Maulana | Affiliation unknown | 1 |
| Alfa Yuliana | Affiliation unknown | 1 |
| Fitri Amalia | Affiliation unknown | 1 |
| Nabila Dwi Fazira | Affiliation unknown | 1 |
| IKA MEIZA MAHARANI | Affiliation unknown | 1 |
| Malecita Nur Atala Singgih | Affiliation unknown | 1 |
| Shazia Ayesha Azzahra | Affiliation unknown | 1 |
| Wiranti Nugrah Andini | Affiliation unknown | 1 |
| Irwan Sutisna | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.