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All Journal International remote sensing application journal Jurnal Cakrawala Bahari
Naf’an Arifian
Nautical Technology Study, Merchant Marine Polytechnic of West Sumatera
Aerospace Engineering Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Engineering

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COMPARISON OF ASTER GDEM IMAGES AND SRTM IMAGES FOR RIVER WATERSHED AND GEOMORPHOLOGY STUDY Naf’an Arifian; Kemal Rahman Denis; Sri Kandi Putri
International Remote Sensing Applied Journal Vol 3 No 2 (2022): International remote sensing application journal (Dec Edition 2022)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (892.43 KB) | DOI: 10.24036/irsaj.v3i2.38

Abstract

This study uses two DEM images, namely ASTER GDEM and DEM SRTM to map the distribution of rivers and geomorphology located in The District of Pesisir Selatan. In this study a comparison of the two images was carried out with the same level of resolution of 30 meters to see the accuracy of the images used in the study of watersheds and geomorphology. The method used in this research is processing image data then identifying the river for each image used. Further carrying out a confusion matrix which is used to check or improve data from a quantitative approach. The results of the study in terms of comparison of ASTER and SRTM images for watershed identification show that SRTM imagery is more accurate in identifying watersheds compared to ASTER imagery. After taking samples with the number of sample points taken, namely 36 samples on each, and then testing for spatial accuracy, the results show that the SRTM imagery had an accuracy rate of 88% where out of 36 sample points only 5 were wrong or not on the river. Whereas in the ASTER image of 36 sample points, there were only 6 which were right on the river, show that the level of image accuracy is only 14% for river identification. The study also shows that after the research process and accuracy test, for geomorphologic identification on the two DEM images, namely DEM SRTM and ASTER GDEM, it found that both images have the same level of accuracy, therefore both images are equally good at identifying geomorphology.
Analisis Perawatan Minyak Lumas Mesin Utama pada Kapal MV. Baik Yonnata, Andhika; Arifin, Naf'an; Erlinda, Nelvi; Irwan, Irwan
Jurnal Cakrawala Bahari Vol. 6 No. 2 (2023): Jurnal Cakrawala Bahari
Publisher : Politeknik Pelayaran Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70031/jkb.v6i2.69

Abstract

Pelumasan pada dasarnya merupakan suatu system atau rangkaian pada mesin dimana minyak lumas ditampung, disedot, disaring, kemudian didistribusikan secara menyeluruh kesetiap bagian komponen mesin. akibat yang akan terjadi jika tidak dilakukannya perawatan yaitu mengakibatkan naiknya suhu pada main engine dan kinerja main engine tidak bisa bekerja dengan optimal maka diperlukannya perawatan secara berkala pada minyak lumas. Metode yang digunakan dalam penelitian ini adalah metode penelitian deskriptif kualitatif. Data yang dikumpulkan dari hasil observasi dimana peneliti mengamati langsung objek penelitian, peneliti mengambil gambar menggunakan kamera sebagai alat pendukung, dan wawancara dimana peneliti mengajukan pertanyaan ke responden, dan jawaban responden sebagai salah satu sumber informasi. Sumber data yang peneliti gunakan yaitu logbook dan manual book tentang PMS (planning maintenance system) pada diesel engine yang ada di atas kapal. Hasil penelitian menunjukkan bahwa faktor penyebab tidak optimalnya kinerja mesin utama adalah kurangmya perawatan terhadap pelumasan, kotornya minyak lumas, kurangnya volume minyak lumas pada sump tank. Sedangkan upaya perawatan yang dilakukan adalah melakukan pembersihan pada filter minyak pelumas, melakukan pengecekan tekanan minyak lumas.
Co-Authors Erlinda, Nelvi Irwan Irwan Kemal Rahman Denis Sri Kandi Putri Yonnata, Andhika