Many studies on the Mentawai tsunami have been carried out. Still, not many have reviewed the validation of run-up height compared to the results of field studies in the same year as the Mentawai tsunami on October 25, 2010. The survey of the Mentawai tsunami reconstruction using COMCOT v1.7 aims to validate The tsunami run-up height of the model output was compared with the results of the field study by the GITST Team in 2010. Validation of the model was carried out using the Aida parameter, by calculating the ratio of the comparison between the model output and the field study results. The study location of the model is divided into 3 layers, namely layer01 covering Sipora Island, North Pagai Island, and South Pagai Island, layer02 covering North Pagai Island and South Pagai Island, and layer03 with the focus of observation on Sibigau Island, with bathymetric resolution used for each layer. 464 m, 232 m, and 77 m so that the propagation at the observation site can be seen clearly. The height of the modeled tsunami ranged from 2.5 – 11.2 meters, with a maximum run-up height observed on Sibigau Island of 11.2 meters, and the time range for the tsunami arriving on land was 5 – 15 minutes. The comparison ratio between the model results and the field study is K = 0.9 and k (standard deviation) = 0.16. Based on the comparison ratio, the model output is close to the actual result.

Sesar Flores merupakan pemicu gempabumi pada tanggal 5 Agustus 2018 di pulau Lombok. Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) melaporkan bahwa gempabumi dengan kekuatan 7 SR saat itu, telah menyebabkan tsunami kecil (13.5 cm) di desa Carik, Lombok Utara. Studi ini bertujuan untuk menganalisis potensi tsunami yang berasal dari aktivitas sesar Flores. Simulasi penjalaran tsunami menggunakan perangkat lunak COMCOT v1.7 untuk mengetahui potensi tinggi tsunami, estimasi waktu tiba tsunami, dan potensi wilayah terdampak tsunami. Data historis untuk pusat gempabumi dalam simulasi adalah gempabumi 2 September 2018, dengan asumsi kekuatan gempa 7.0 SR. Kedalaman sumber gempa 14 km dengan luas patahan 47.9 x 15.9 km, dislokasi 2.5 m, dan parameter strike, dip, slip masing-masing 284o, 64o, 88o. Layer simulasi dibagi menjadi 3 berdasarkan sistem model bersarang, dengan reolusi masing-masing 464 m, 232 m, dan 77 m. Data batimetri diperoleh dari GEBCO dengan resolusi 15-arcsecond. Waktu simulasi penjalaran tsunami yang dilakukan selama 30 menit, menghasilkan tinggi tsunami awal sebesar 0.9 meter. Tinggi tsunami maksimum yang teramati sepanjang penjalaran adalah 1–2.5 m. Waktu tiba gelombang pada pesisir Lombok Utara, ditempuh dalam kisaran waktu 3 sampai 13 menit. Hasil pemodelan menunjukkan bahwa wilayah kecamatan Bayan, Kayangan, Tanjung, dan Gangga berpotensi terkena dampak tsunami.  Kata Kunci: COMCOT, Gempabumi, Lombok Utara, Sesar Flores, Tsunami

Contaminants entering marine systemts have become environmental issues because of their significantly negative impacts. Coasts of Rumah Tiga Village are connected to Ambon Bay and provide marine habitats and tourist attractions due to their location close to Merah Putih Bridge (including recreations, restaurants and aquaculture sites). These human related activities contribute to the discharge of wastes into marine waters. Due to their location at inshore outer Ambon Bay, marine pollutants from the bay tend to be applied at the location. Because of the concentrated pollutants at the location, the coasts of Rumah Tiga Village are a suitable location to conduct beach clean-ups in Ambon Bay. The beach clean-up activities also aim to allow Study Program of Marine Science of Faculty of Fisheries and Marine Sciences, Pattimura University to raise awareness to its students and local community to care for environment.

Ekosistem mangrove di pesisir Kabupaten Muna Barat mengalami degradasi dalam kurun waktu 5 tahun terakhir. Hal tersebut menyebabkan menurunnya potensi simpanan karbon pada ekosistem mangrove. Secara ekologi mangrove memiliki kemampuan untuk pulih melalui produksi semai dan pertumbuhan diameter. Hal tersebut juga didukung oleh faktor sosial masyarakat sehingga stok karbon mangrove dapat pulih. Kemampuan pemulihan tersebut dikenal dengan istilah resiliensi. Penelitian ini bertujuan untuk mengetahui resiliensi stok karbon di pesisir Kabupaten Muna Barat dengan pendekatan sosial ekologi. Resiliensi merupakan kemampaun untuk mengembalikan stok karbon mangrove pada waktu tertentu. Penelitian dilakukan melalui observasi dan wawancara kepada para stakeholder. Hasil penelitian menunjukkan bahwa Nilai resiliensi stok karbon dengan pendekatan sosial sebesar 0,75, terdapat enam indikator dengan nilai resieliensi terbaik (R = 1) yaitu  tingkat pendidikan masyarakat, tidak adanya potensi konflik, kepatuhan terhadap peraturan, adanya mata pencaharian alternatif, tingkat pemanfaatan mangrove, dan ketergantungan terhadap layanan jasa ekosistem. Nilai resiliensi stok karbon dengan pendekatan ekologi sebesar 0,74. Indikator resiliensi ekologi berupa ketebalan mangrove, rasio produksi semai, dan laju pertumbuhan diameter pada masing stasiun memiliki nilai sebesar R = 0,75. Nilai resiliensi stok karbon dengan pendekatan sistem sosial ekologi sebesar 0,74. Nilai resiliensi tersebut, menunjukkan kemampuan ekosistem mangrove untuk merecovery stok karbon pada tegakan melalui produksi semai dan pertumbuhan diameter. Tekanan antropogenik berupa pembangunan berbagai infrastruktur merupakan tekanan berdampak besar namun tidak berkesinambunagn. Tekanan antropogenik berupa penebangan pohon merupakan tekanan kecil berkesinambungan. Kemampuan reproduksi dan laju pertumbuhan diameter mangrove cenderung mampu beradaptasi dengan penebangan pohon sehingga stok karbon dapat recovery dari waktu ke waktu

The existence of the islands in Maluku is very vulnerable to the danger of a tsunami-generating earthquake, because of their location to faults or faults. The purpose of this study was to analyze the height and propagation time of the tsunami waves in coastal areas in Maluku such as Buru Island, Ambelau Island, Manipa Island, Kelang Island. One of the historical tsunami events in Maluku on January 28, 2004, with a magnitude 6.6 earthquake with a depth of 16.8 km, is a case study parameter for create a tsunami wave propagation model for the purposes of tsunami disaster mitigation in affected coastal areas. The tsunami propagation model in this study uses SitProS modeling to analyze the height and propagation of tsunami waves on the coasts of the islands in Maluku. The bathymetry data used was obtained from the ETOPO site, while the fault parameters were obtained from the BMKG site where the sizes of the strike, dip and slip angles were 194o, 84o and -136o respectively. The result of modeled tsunami height ranges from 0.09 – 0.3 meters with a propagation time up to 13 meters on Ambon Island. Buru Island is an area which close to the epicenter of the earthquake so the waves arrived in the 3rd minute with the maximum height until 0.3 meters.