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Harvianto, Loecky
Surya University
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Analisis Diagram T-S Berdasarkan Parameter Oseanografis di Perairan Selat Lombok Harvianto, Loecky; Parengkuan, Maxi; Koropitan, Alan F.; Agustiadi, Teguh
Surya Octagon Interdisciplinary Journal of Science and Technology Vol 1 No 1 (2015): SOIJST
Publisher : Surya University

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Research of water masses by using conductivity temperature depth are conducted in the Lombok Strait during September 2014 under the Cruise SITE Leg II to Lombok Strait. The aim of the research is to investigate Temperature-Salinity Diagram based on oceanographic parameters in Lombok Strait. Temperature-Salinity Diagram shows the origin of the water masses across Lombok Strait. The results of this research shows water masses across Lombok Strait comes from North Pacific Subtropical Water (NPSW) on ~ 150 m depth and North Pacific Intermediate Water (NPIW) on ~ 400 m depth. The differences values of salinity reference and salinity measurement indicates the properties of NPSW and NPIW are dynamic, verified by the number of salinity reference is 34,55 Psu on ~ 150 m depth, whereas the salinity number of five station in order are  34,63 Psu; 34,65 Psu; 34,65 Psu; 34,57 Psu; 34,52 Psu. The difference of salinity number caused by strong vertical mixing in Indonesian waters.
Pemetaan Vegetasi Hutan Mangrove Menggunakan Metode Normalized Difference Vegetation Index (NDVI) di Desa Arakan, Minahasa Selatan, Sulawesi Utara Philiani, Intan; Saputra, Livinia; Harvianto, Loecky; Muzaki, Anggi Afif
Surya Octagon Interdisciplinary Journal of Science and Technology Vol 1 No 2 (2016): SOIJST
Publisher : Surya University

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Tatapaan District in North Minahasa has  mangrove forest covering an area of 8.736.00 m2. One of the village in Tatapaan District is Arakan. This study aim for mapping mangrove density in Arakan village and determine the best result of Normalized Difference Vegetation Index (NDVI) from band combination used. NDVI method calculate the amount of vegetation greeness value derived from digital signal processing of brightness value data of multiple channels satellite sensor data from satellite images. NDVI measures the slope between the original value of the red band and infrared band in the sky with the value of each pixel in the image. Imagery used is Worldview2 satellite image recording on June 19th 2014. Based on the combination of bands used, the best result of band combination is the combination of Red and NIR 2 band with the value of the smallest error rate of deviation, ie 0.3. The density of the widest is “Rapat” class (824,566.01 m2), “Sedang” class (133,622.41 m2), “Jarang” class (12,004.92 m2), “Sangat jarang” class (10,494.23 m2), and the smallest is “Sangat rapat” class (24.45 m2). 
Co-Authors Agustiadi, Teguh Alan Frendy Koropitan Muzaki, Anggi Afif Parengkuan, Maxi Philiani, Intan Saputra, Livinia