Situmorang, Krisandi Putra (2017) Pengembangan Perancangan Sistem Pengambilan Keputusan Berbasis Data Automatic Identification System (AIS) dan Radar untuk Identifikasi Terjadinya Illegal Transhipment Menggunakan Logika Fuzzy. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Setiap tahun sektor kelautan Indonesia mengalami kerugian akibat adanya praktik illegal transhipment. Illegal transhipment adalah proses pemindahan muatan dari satu kapal ke kapal lainnya yang dilakukan di tengah laut. Upaya pengawasan terhadap praktik illegal transhipment dinilai kurang optimal karena keterbatasan instrumen yang dimiliki Indonesia. Penelitian pada tugas akhir ini, dilakukan pengembangan perancangan sistem pengambilan keputusan menggunakan logika fuzzy berbasis data AIS dan radar untuk identifikasi terjadinya illegal transhipment. Pengembangan dilakukan dengan menambahkan variabel masukan, membangun kaidah yang baru, dan mengubah beberapa membership function pada sistem. Sistem pengambilan keputusan disimulasikan, diuji, dan divalidasi. Validasi dilakukan dengan menggunakan data kapal real yang melakukan illegal transhipment dari pusat data www.marinetraffic.com. Hasil validasi menunjukkan akurasi identifikasi illegal transhipment sebesar 83,075%, dan sistem mampu mengidentifikasi lebih banyak pola illegal transhipment.
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Every year Indonesia’s marine sector suffers losses due to illegal transhipment practices. Illegal transhipment is the process of transferring cargo from one ship to another ship conducted in the middle of the sea. Monitoring efforts on illegal transhipment practices are no less optimal because of the limitations of instruments owned by Indonesia. Research on this thesis, is done by develop system of fuzzy logic based AIS data and radar for identification of illegal transaction. The development is done by adding input variables, building new rules, and changing some membership functions on the system. The new system have been through simulation, testing, and validation. Validation is done using real data of ship that perform illegal transhipment from www.marinetraffic.com. Validation results indicate the accuracy of illegal transhipment identification of 83.075%, and the system is able to produce more illegal transhipment patterns.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSF 629.895 633 Sit p |
| Uncontrolled Keywords: | AIS, illegal transhipment, logika fuzzy, pengembangan, radar, development, fuzzy logic |
| Subjects: | T Technology > T Technology (General) > T58.62 Decision support systems |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Krisandi Putra Situmorang |
| Date Deposited: | 14 Nov 2017 08:12 |
| Last Modified: | 09 Jan 2018 07:35 |
| URI: | http://repository.its.ac.id/id/eprint/48104 |
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