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HEMOCYTE PROFILE OF SUSUH KURA (Sulcospira Testudinaria) IN ORDER TO EVALUATE THE WATER QUALITY OF BADHER BANK CONSERVATION AREA, TAWANGREJO VILLAGE, BINANGUN DISTRICT, BLITAR Asus Maizar Suryanto Hertika; Supriatna .; Arief Darmawan; Bimo Aji Nugroho; Agung Dwi Handoko; Agustiansi Yeyen Qurniawatri; Ranita Ayu Prasetyawati
JFMR (Journal of Fisheries and Marine Research) Vol 5, No 1 (2021): JFMR VOL 5 NO.1
Publisher : JFMR (Journal of Fisheries and Marine Research)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2021.005.01.16

Abstract

Abstract. Badher Bank Conservation Area is a conservation area that is focused on the conservation of badher fish. The purpose of this study was to analyze the hemocyte profile of Susuh Kura (Sulcospira testudinaria) in the Badher Bank Conservation Area and the water quality to estimate pollution status. The research method used is descriptive with survey method. Samples taken are water quality and susah kura samples at 4 stations. Based on the results of water quality measurements obtained results, temperatures of around 27.6-30.7 ° C, current of around 0.6-1 m/s, brightness of around 5-8.5 cm, TSS (Total Suspended Solid) of around 11-46 mg/l, pH of around  7.31-7.58, DO (Dissolved Oxygen) of around 4.4-5.1 mg/l, amoniak of around 0, 0432-0.2143 mg/l, BOD (Biological Oxygen Demand) of around 0.8-2.4 mg /l. These results indicate that all parameters are still in normal conditions except amoniak. THC observation results obtained values between 37.67x104 - 49x104 cells/ml, where the limit of THC values is not more than 58x104 cells/ml.. Analysis on DHC showed that hyalinocytes are around 30.47-40.76%, Semi granulocytes  around 10-15.92% and granulocytes around 44.53-57.84%. Result of CCA show that THC is affected by 8 parameters of moderate concentration, hyalinocytes tend to be influenced by high amoniak and granulocytes tend to be influenced by DO and high brightness. Thus, the condition of the waters in the Badher Bank Conservation Area is still in normal condition.
ESTIMATION OF OIL PALM PLANT PRODUCTIVITY USING SENTINEL-2A IMAGERY AT CIKASUNGKA PLANATION PTPN VIII, BOGOR, WEST JAVA Afifah Nur Rahmasari; Supriatna .; Andry Rustanto
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 19, No.1 (2022)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3775

Abstract

Palm oil is one of the commodities that is growing well in Indonesia with a high commercial value which makes the demand for processed palm oil products increase, it is necessary to have data and technology to estimate the productivity of oil palm plantations more efficiently. Remote sensing technology is one of the technologies that can be used to decision problems spatially and accurately, efficiently, and dynamically. One of them is remote sensing using Sentinel-2A imagery. This study aims to analyze the distribution and the accuracy of the NDVI and ARVI algorithms for the estimation of oil palm productivity at the Cikasungka Plantation PTPN VIII. The estimated productivity of oil palm plantations at Cikasungka Plantation varies in each block with an estimated productivity of oil palm plantations of 35,061 Kg/Ha/Month using the algorithm NDVI and ARVI algorithm is 35,431 Kg/Ha/Month. Oil palm productivity was regressed by vegetation index and plant age to generate a model. Based on modeling with these two algorithms, the accuracy of the ARVI algorithm model has a lower RMSE value than NDVI, so it can be said that it is better in estimation of oil palm plant productivity  at the Cikasungka Plantation.