Abstract. Water quality monitoring is compulsory to maintain and preserve aquatic ecosystem health, especially for the phytoplankton community. Phytoplankton abundance relies greatly on the condition of water, it is important to assess the water quality parameter (WQP) to estimate the abundance of PP. However, obtaining WQP using conventional methods (water sampling and laboratory assessment) requires more time and cost of operation. Therefore, Geographical Information System (GIS) and remote sensing (RS) approaches are becoming popular methods of measuring water quality parameters (turbidity, total suspended solids (TSS), temperature, pH, etc). This paper aims to review the assessment of WQP in relation to PP abundance and other interchangeable factors from the recent studies and efforts on WQP assessment using geospatial technologies approaches. Methods, algorithms, and accuracies established from the GIS and RS techniques are discussed. From ten (10) extended review research articles, it is revealed that most WQP has an indirect and direct effect on human activities, seasonal changes, fish production, water pollution, and especially PP abundance. In addition, about nine (9) previous research articles revealed the use of various satellite image sensors to estimate WQP from Landsat 8 is the most common, to Landsat 7 ETM+, 5, Sentinel MSI, and the least used is RapidEye. Further research also finds that the three most common types of WQP estimated via the geospatial analysis method are turbidity, pH, and Secchi depth with the highest R2 value equal to 0.810,0.947, and 0.990 respectively.
<p><em>The purpose of this study is to describe and explain the educational value contained in the piweling geguritan anthology by Devika Herfianingtyas. This research is a qualitative descriptive research with a content analysis approach. The data in this study is in the form of words, phrases, or sentences in the piweling geguritan anthology by Devika Herfianingtyas. The data sources are in the form of documents, namely piweling anthology books, reference books, and relevant journals. The sampling technique in this study uses purposive sampling which is carried out selectively by selecting words, phrases, or sentences in the Piweling geguritan anthology that can represent the answer to the problem formulation that has been made. The data collection technique in this study was carried out by analyzing the educational value in the piweling geguritan anthology by Devika Herfianingtyas. The data analysis technique used in this study is an interactive analysis consisting of data collection, data reduction, data presentation, and conclusion drawing. Based on the results of the analysis, the educational values found in Devika Herfianingtyas' anthology of Piweling geguritan are religious values, moral values, social values, and cultural values.</em><em> </em><em></em></p>
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