Rancangan bangun model sistem peringatan dini pengelolaan lapangan penumpukan petikemas di pt. jakarta international container terminal idonesia

Witjaksono, Arief (2016) Rancangan bangun model sistem peringatan dini pengelolaan lapangan penumpukan petikemas di pt. jakarta international container terminal idonesia. Doctoral thesis, Institut Pertanian Bogor.

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Abstract

Container terminal is a place which is strategic and important, considering almost all industrial products and industrial raw materials through the site. The problems that occurred in the container terminal will greatly affect the sectors of economy, industry and trade. Lately, the issue of the deposition time of goods in the terminal or called Dwell Time (DT) becomes the national issue for the reasons mentioned, and this DT is as one of the causes of the high level of use of the stacking yard or also called yard occupancy ratio (YOR). The high YOR will cause some disadvantages among others: there will be the congestion so that the performance of the terminal will decrease, the operational cost will increase, the delivery of goods will be late and other losses. Besides that, many institutions involved in the process of service delivery and receipt of goods cause the bureaucracy and the problems among institutions to work together. At the time YOR is high so the parties tend to defend their interests, it can be understood because until now there has been no device to predict YOR in the future. While the increase of YOR happens quickly, and to bring it down it also takes a long time, therefore a research is needed to design a model of the early warning system. If YOR is previously known, so the field management becomes easier and can avoid the losses that will occur. The container terminal is part of the infrastructure and the national logistics system that plays an important role namely: as a means of the loading and unloading of goods to be forwarded to other modes of transport. The improvement in the sector of container terminal is expected to be able to improve the national logistics system. The purposes of this study, which are conducted in the container terminal, are: (1) To find out the relation between the variables of DT and YOR, (2) To design the model of the early warning system to deal with the problem of YOR import container in PT. JICT, (3) To determine the alternative solutions needed to reduce the DT and the mitigation of YOR above normal which is done, (4) To determine the alternative strategies needed to reduce the DT, and (5) To design the institutional model of synergy to run the early warning system. The data used are the secondary data of the daily operations of PT. JICT and other related data, and the primary data on the inputs from the experts with the questionnaires, the interviews, and the focus group discussion (FGD). Analysis of the data used is the forecasting with the help of software for processing the statistical data with the method of Winter’s, the Analytical Hierarchy Process (AHP), the Interpretative Structural Modeling (ISM) and the Adaptive Neuro-Fuzzy Inference System (ANFIS). The analysis result of AHP indicates that the strategy is the top priority in handling the DT which is the designing the model of the early warning system of the inter-institutional scope to apply the model of the early warning system. With the time as the main factor which is influencing it and the owner of the goods is as the main actor in the strategy. From the design of the model of the early warning system it can be obtained: (1) The simulation, or the model has been able to represent the real situation and to follow the pattern of the existing data. (2) The prediction or the estimation of the throughput import, the DT, the k constant factor, and YOR several months ahead. (3) The factor of k constant, contained in YOR, and detected from the data of YOR and the condition and situation in the field influencing YOR. For example, the condition is such as the force majeure or the condition which cannot be controlled like bad weather, flooding, power outages, traffic jams, and other disturbances which are not recorded properly but contributing to YOR. The above simulation can be done by entering the data obtained from the field, namely the information like the throughput import, DT and the estimation of k factor. Throughput can only be predicted a week ahead through agents or the cruise representative. This can be explained that the information of the loading at the moment is certainly still difficult to know, because all depend on the market condition. The model resulted also can be used to predict the variables mentioned above, this is possible because ANFIS can do the learning. The variables are processed to be able to do each prediction, then the result of this prediction is used to determine the prediction of YOR. The institutional model of synergy for running the early warning system (EWS) among the related institutions is obtained from the analysis result of ISM. Of the eight elements, two elements are relevant, mainly related to the implementation of the model of EWS system which will be applied, namely: (1) the main constraint in the implementation of EWS, the key factor is the slow coordination among departments, and (2) the sector of the stakeholder affected by the EWS Program, the key factors are PT. JICT and Customs.

Item Type: Thesis (Doctoral)
Additional Information: 11(7DM)Wit r
Uncontrolled Keywords: Adaptive Neuro-Fuzzy Inference System, ANFIS, Analytical Hierarchy Process, AHP, dwell time, Interpretative Structural Modelling, ISM, sistem peringatan dini, yard occupancy ratio, focus group discussion, FGD, early warning system, EWS. Adaptive Neuro-Fuzzy Inference System, Analytical Hierarchy Process, dwell time, Early Warning System, Interpretative Structural Modeling, yard occupancy ratio.
Subjects: Manajemen Agribisnis
Depositing User: SB-IPB Library
Date Deposited: 11 Apr 2017 07:30
Last Modified: 25 Oct 2019 02:08
URI: http://repository.sb.ipb.ac.id/id/eprint/2907

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