The performance of a seaport is determined by the coherence between the optimal dimensions of the seaport and the economic potential of the area where the seaport is located. Otherwise, the economic potential of the region can drive how big the port should be developed. To study the behavior of seaport parameters on regional archipelagic economic zones, dynamics models are used, where the econometric model is applied to the completion of the Cobb-Douglas production equation. The results obtained by this analysis showed that the increased volume of loading/unloading cargo is correlated to local economic growth; and, the increase of loading/unloading of cargo can promote the growth of the region's Gross Domestic Product (GDP). Increased volume of loading-unloading cargo is correlated to the growth of vessel hold capacity/deadweight tonnage (DWT). GDP growth is correlated to the demand load capacity of the vessel (DWT); and the increase of GDP requires definition of a length of berth (Lb). Hence, it is concluded that there is a strong influence between the development of port dimensions and the economic growth of archipelagic regions.

Indonesia has several institutions to maintain maritime defense and security, but maritime security is not only determined by the number of authorized agencies but by many factors. This study aims to assess the factors and sub-factors that affect Indonesian maritime security. To achieve the research objectives, the method used is the Analytical Hierarchy Process (AHP) with six factors and twenty-nine sub-factors. The process of collecting data through questionnaires and interviews with several experts, the results of the questionnaire were taken with a Geometric Average, after which it was calculated according to the stages of the AHP method. The findings of this study produce priority factors that affect maritime security, first are defense and security factors (0.37), second is political and legal factors (0.24), third is economic factors (0.16), fourth are technological factors (0.11), fifth are social and cultural factors (0.07) and sixth are environmental factors (0.04). The contribution of this research is a consideration for the Government to determine policies towards improving maritime security in Indonesia.

Indonesia merupakan Negara kepulauan yang memiliki luas lautan yang luas sebesar dua pertiga dari luas wilayah keseluruhan. Oleh karena itu, Indonesia memiliki tingkat kerawanan yang tinggi di antaranya illegal fishing, illegal logging, illegal mining, illegal migrant, human trafficking dan penyelundupan. Sehingga Indonesia memerlukan model pengamanan laut yang mampu mengoptimalkan resource yang ada. Proses pemilihan model pengamanan laut tidaklah mudah karena harus mempertimbangkan banyak kriteria sehingga keputusan yang diambil tidak salah, maka diperlukan suatu Sistem Pendukung Keputusan (SPK) yang dapat memperhitungkan segala kriteria yang mendukung pengambilan keputusan dalam menentukan model pengamanan laut yang cocok untuk Indonesia. Metode yang digunakan dalam pengambilan keputusan adalah Fuzzy AHP (Analytical Hierarcy Process) dan Fuzzy TOPSIS (Technique For Order Preference by Similarity to Ideal Solution). Hasil penilaian prioritas model pengamanan laut diperoleh sebagai berikut: [1] Single Agency Multy Task = 0.404, [2] Multy Agency Single Task = 0.295, [3] Single Agency Single Task = 0.228 dan [4] Multy Agency Multy Task = 0.073. Oleh karena itu, penelitian ini merekomendasikan model pengamanan laut yang paling cocok dengan kondisi Indonesia saat ini adalah "Single Agency Multy Task" dengan bobot prioritas 0.404. Melalui sistem "Single Agency Multy Tasks" persoalan pengawasan dan pengamanan laut dapat ditingkatkan karena model Single Agency Multy Task menghendaki adanya satu lembaga atau badan bersifat tunggal, integratif dalam pelaksanaan pengamanan laut Indonesia.

The number of shipyards that can carry out maintenance and repair work in the province of Maluku is very small, causing many docking queues, causing many companies to choose to dock outside the Maluku province, even though Maluku has a large and good area to build a shipyard. To increase the number and capacity of ship docking sites, the floating docking system was chosen to be developed because it is cheaper and very flexible to be moved because Maluku has two different wind seasons that affect the ship docking process. This study aims to determine the right location for the development of floating docking development in Maluku Province. This study uses a combination of two methods namely AHP-TOPSIS. AHP is used to determine the level of importance between criteria, criteria consisting of aspects of meteorology, geography and oceanography, environmental and population aspects, and aspects of facilities and infrastructure. The results of priority analysis through the weighting of criteria from several experts with the AHP approach to the selection of the best alternative regions using the TOPSIS method. The AHP-TOPSIS calculation results give the first priority value in the Dobo region with a total of 41%, the second in the Saumlaki region with a total of 27%, the third in the Tual region with a total of 24%, and the fourth is the Tiakor region around 8%.

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