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Identification of Diversity Macrobenthos as a Bioindicator of Seawater Quality in Teluk Dalem Beach and Senggigi Beach Rachmawati Noviana Rahayu; Immy Suci Rohyani; Ahmad Jupri; Dela Savira; Feby Ayu Genggelang; Risma Indriana
Jurnal Biologi Tropis Vol. 23 No. 1 (2023): January - March
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v23i1.4870

Abstract

Macrobenthos are organisms that live on the bottom of the waters have the characteristics of slow life movement and can survive for a long time so that they have the ability to respond to changes in the quality of a water. One way to determine the quality of seawater as a bioindicator of the stability of an ecosystem is to know the macrobenthos diversity index. This research aims to identify factors that influence the diversity of macrobenthos abundance on the coast of Teluk Dalem and Senggigi coast,and then to analyze the role of macrobenthos as a bioindicator of seawater quality on the coast of Teluk Dalem and Senggigi beach. The method used in this study is quantitative descriptive method. The results showed that the abundance of macrobenthos on the coast of Teluk Dalem and Senggigi beach had a relatively good diversity index, it is influenced by the physical, chemical and biological conditions of the environment.
Analysis of Tree Fall Hazard Risk: A Case Study at the University of Mataram Campus Suripto; Supardiono Supardiono; Rachmawati Noviana Rahayu; Lalu Muhammad Aby Dujana; Feby Ayu Genggelang
Jurnal Penelitian Pendidikan IPA Vol 11 No 10 (2025): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i10.13045

Abstract

The Mataram University campus has shade trees in almost all area units, some of which are still quite ideal and some of which show problems with tree architecture deviations, such as trunk declivity and canopy inclination, which can cause the risk of tree fall. This study was conducted to analyze the distribution of tree fall risk based on tall, trunk declivity and canopy inclination on the Mataram University campus. The sample area was taken using the purposive sampling method and then sampling trees in each sample area unit using the quarter method. Tree variables observed were tall, trunk declivity and canopy inclination. The data were processed respectively to produce tree tall, trunk declivity, and canopy inclination classes. These data were then further analysed in an integrated manner to produce a value of tree-fall hazard risk. These tree-fall hazard values were interpreted into 5 categories, namely not hazardous, somewhat hazardous, quite hazardus, hazardous, and very hazardous. The results show that of the 108 shade trees on the Mataram University campus, 38.01% of the trees were in categories requiring immediate attention or action (moderately hazardous to very hazardous). Zone 1 was the only zone with the highest risk (0.93% very hazardous).