Nur Hidayah, D. C. R. Novitasari, I. A. Wijaya, M. Faizin, Umi Hanifah, Abdulloh Hamid
{"title":"用遗传算法优化丹绒霹雳泗水港进港等待时间","authors":"Nur Hidayah, D. C. R. Novitasari, I. A. Wijaya, M. Faizin, Umi Hanifah, Abdulloh Hamid","doi":"10.1109/IAICT55358.2022.9887473","DOIUrl":null,"url":null,"abstract":"Tanjung Perak Port in Surabaya is one of the major ports in Indonesia. The capacity of ships in the Tanjung Perak port of Surabaya is considerable that it often causes queues which cause waiting times. One form of waiting time that is a significant problem in ports is waiting time for approach time. Approach time waiting can delay the performance of a port. Therefore, to improve port performance, it is necessary to optimize the approach time waiting. This study aims to reduce the approach time waiting by optimization method using the Genetic Algorithm (GA). The total approach time waiting from the data obtained at Tanjung Perak Port, Surabaya, for 136 ships in 667.73 hours. By optimizing genetic algorithms, we get less total approach time waiting. The optimization results using GA can optimized the approach time waiting to 461.90 hours. These results indicate a decrease in approach time waiting by 205.83 hours.","PeriodicalId":154027,"journal":{"name":"2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of Approach Time Waiting at The Port of Tanjung Perak Surabaya using Genetic Algorithm\",\"authors\":\"Nur Hidayah, D. C. R. Novitasari, I. A. Wijaya, M. Faizin, Umi Hanifah, Abdulloh Hamid\",\"doi\":\"10.1109/IAICT55358.2022.9887473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tanjung Perak Port in Surabaya is one of the major ports in Indonesia. The capacity of ships in the Tanjung Perak port of Surabaya is considerable that it often causes queues which cause waiting times. One form of waiting time that is a significant problem in ports is waiting time for approach time. Approach time waiting can delay the performance of a port. Therefore, to improve port performance, it is necessary to optimize the approach time waiting. This study aims to reduce the approach time waiting by optimization method using the Genetic Algorithm (GA). The total approach time waiting from the data obtained at Tanjung Perak Port, Surabaya, for 136 ships in 667.73 hours. By optimizing genetic algorithms, we get less total approach time waiting. The optimization results using GA can optimized the approach time waiting to 461.90 hours. These results indicate a decrease in approach time waiting by 205.83 hours.\",\"PeriodicalId\":154027,\"journal\":{\"name\":\"2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAICT55358.2022.9887473\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAICT55358.2022.9887473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of Approach Time Waiting at The Port of Tanjung Perak Surabaya using Genetic Algorithm
Tanjung Perak Port in Surabaya is one of the major ports in Indonesia. The capacity of ships in the Tanjung Perak port of Surabaya is considerable that it often causes queues which cause waiting times. One form of waiting time that is a significant problem in ports is waiting time for approach time. Approach time waiting can delay the performance of a port. Therefore, to improve port performance, it is necessary to optimize the approach time waiting. This study aims to reduce the approach time waiting by optimization method using the Genetic Algorithm (GA). The total approach time waiting from the data obtained at Tanjung Perak Port, Surabaya, for 136 ships in 667.73 hours. By optimizing genetic algorithms, we get less total approach time waiting. The optimization results using GA can optimized the approach time waiting to 461.90 hours. These results indicate a decrease in approach time waiting by 205.83 hours.