Kota Sibolga merupakan salah satu kota yang berada di Provinsi Sumatera Utara. Kota ini terletak di Pantai Barat Sumatera yang berhadapan langsung dengan Samudera Hindia dan merupakan daerah penangkapan ikan (Fishing Ground) bagi nelayan di Sibolga. Tujuan dari penelitian ini untuk mengetahui hasil tangkapan dan menentukan potensi Maksimum Lestari (MSY) Ikan Tongkol pada alat tangkap Purse Seine di pelabuhan perikanan Sibolga. Berdasarkan produksi tertinggi yang mengunakan alat tangkap purse seine yaitu sebesar 134.016 kg sedangkan jumlah produksi terendah 27.456 kg pada kurun waktu satu bulan penelitian yang digunakan adalah metode Deskriptif. Ruang lingkup yaitu Pelabuhan perikanan Sibolga dan analisis data. Hasil produksi sumberdaya Ikan Tongkol dengan alat tangkap purse seine di peroleh melalui data dari pelabuhan perikanaan nusantara Sibolga. Berdasarkan produksi tertinggi yang mengunakan alat tangkap purse seinse yaitu sebesar 134.016 kg Ikan Tongkol Krai (Auxis thazard) sedangkan jumlah produksi terendah 27.456 kg Ikan Tongkol Komo (Euthynnus affinis) pada kurun waktu satu bulan.

Coral reefs are one of the important ecosystems that need data inventory in order to manage marine resources both spatially and temporally. Remote sensing with drone technology is one of the vehicles for collecting data related to coral reef ecosystems in real time. Along with the times, drones are widely used in research both in terrestrial and in coastal areas. This research was conducted on December 4 – 10, 2018 in the Karang Lebar, Seribu Islands, Jakarta. The purpose of this research was to explored the ability of drones as a vehicle to complement field survey data for coral reef mapping. In addition, conducting a pixel-based analysis for coral reef classification based on WorldView-2 satellite imagery using field survey data and additional data from drone data. Based on the results of the study, information was obtained that drone imagery can help visual interpretation in detecting coral reefs. Thus, field survey data that are not covered in the research area can be assisted by the use of drones as a complementary vehicle for field survey data. The coral reef classification process using WorldView-2 imagery can be mapped well. Drone imagery has proven to be an alternative in field data collection as a training area in identifying coral reef objects, such as with massive coral lifeforms that can be clearly seen from drone images. It's just that visual interpretation is limited because of the water column, making it difficult to identify objects.