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All Journal IJOCE (International Journal of Offshore and Coastal Engineering)
Tia Natalia
Institut Teknologi Sepuluh Nopember
Engineering

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Analysis of the Effect of Infrastructure System at Kendari New Port Terminal on Container Customer Satisfaction Using Principal Component Analysis (PCA) Method Fadel Muhammad; Tia Natalia; Tri Achmadi
International Journal of Offshore and Coastal Engineering (IJOCE) Vol 8, No 1 (2024)
Publisher : Pusat Publikasi Ilmiah Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25800914.v8i1.20460

Abstract

Container Terminal Kendari New Port, located in Kendari, Southeast Sulawesi Province, is known to be one of the gateways for international logistics flow with adequate facilities and systems implemented where one of its activities is loading and unloading of containers supported by a reasonably large pier measuring 300 square meters. Even though it is equipped and supported by adequate infrastructure, it is not uncommon for customers to feel that the system and infrastructure provided are unsatisfactory. For this reason, in this study, satisfaction indicators are in the form of price (X1) and facilities (X2), and all of these variables have several indicators to determine customer satisfaction with the infrastructure offered using the PCA method. The PCA method is advantageous when the existing data has a large number of variables and has a correlation between the variables. In general, the principal component can be helpful for feature selection and interpretation of variables. The results of this study indicate that there is one variable that has an eigenvalue more significant than one, which indicates that this variable has a cumulative proportion of 58.278%, which means that 1 factor can absorb information in the data of 58.278% where the variable is Price (X1).
Evaluation of International Shipping Alliance: A Case Study of Transport Capacity and Cost Efficiency Influence the Quality of Cooperation Inter-Country Using Discriminant Analysis Tia Natalia; Fadel Muhammad; Tri Achmadi
International Journal of Offshore and Coastal Engineering (IJOCE) Vol 8, No 1 (2024)
Publisher : Pusat Publikasi Ilmiah Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25800914.v8i1.20462

Abstract

Shipping is a source of income that entrepreneurs increasingly demand because of the public's high use of this service, both for traveling and sending and transporting goods. Shipping companies offer their services domestically and cooperate with foreign shipping companies to increase revenue. In addition to increasing revenue, this business can increase the quality of cooperation between countries, which can be seen from transportation capacity and cost efficiency because more fleets will be provided, and infrastructure will be adequate because it consists of more than one country. Even though the shipping system cooperates with other countries and has an international standard, this does not necessarily satisfy the public with the service in the form of transportation capacity and fees charged. Not infrequently, many people complain that the costs incurred are quite high, but the implemented system is not following what most people expect. To see the quality of cooperation between countries (Y), this research will look at the transportation capacity factor (X1) and also cost efficiency (X2) using the discriminant analysis method. Discriminant analysis is a statistical method used to categorize an object into two or more groups based on the independent variable (X) used. The results obtained in this study show that the majority of people are satisfied with the existence of an international shipping alliance that is equal to 78%, with only cost efficiency (X2) being the main factor affecting customer satisfaction with the resulting classification accuracy rate of 71% and good models by 61%. 
Co-Authors Fadel Muhammad Tri Achmadi