Ramadanti, Alvin Nuralif and Novitasari, Dian C. Rini and Wijaya, Indra Ariyanto and Swindiarto, Victory T. Pambudi and Utami, Wika Dianita (2022) Optimization of tug services in Tanjung Perak port using assignment model based on forecasting result of tug services. BAREKENG : Jurnal Ilmu Matematika dan Terapan, 16 (1). pp. 263-270. ISSN 1978-7227; 2615-3017
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Abstract
Optimizing adequate tugboat services is very much needed to support the operational improvement of the Tanjung Perak port. This study uses the triple exponential smoothing method to predict the number of tug service requests in 2021 and the assignment model to determine the optimal level of operating tugboats. The data used in this study is data on demand for tugboat services for small, medium, and large vessels from 2019 to 2020. Forecasting results show that the highest demand for small boat services is 4551 and 3235. The highest demand for medium vessel services is 479 and the lowest is 365. Meanwhile, for the highest demand for large ship services 61 and the lowest 40. The assignment results show the optimization of Tanjung Perak port by operating 13 tugboats every day.
Item Type: | Article |
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Additional Information: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4957 |
Creators: | Creators Email NIDN Ramadanti, Alvin Nuralif - - Novitasari, Dian C. Rini diancrini@uinsby.ac.id 2024118502 Wijaya, Indra Ariyanto - - Swindiarto, Victory T. Pambudi - - Utami, Wika Dianita wikadianita@uinsby.ac.id 199206102018012003 |
Uncontrolled Keywords: | Port; forecasting; tugboat; triple exponential smoothing; optimization |
Subjects: | 16 STUDIES IN HUMAN SOCIETY > 1602 Criminology > 160205 Police Administration, Procedures and Practice 16 STUDIES IN HUMAN SOCIETY > 1607 Social Work > 160702 Counselling, Welfare and Community Services |
Divisions: | Fakultas Sains dan Teknologi > Prodi Matematika |
Depositing User: | Samidah Nurmayuni |
Date Deposited: | 14 Jun 2022 07:14 |
Last Modified: | 14 Jun 2022 07:14 |
URI: | http://repository.uinsa.ac.id/id/eprint/2517 |