Tingkat Kenyamanan Lingkungan Belajar Sekolah Menengah Atas (SMA) Negeri di Kota Denpasar

A healthy andcomfortable school environmentis necessary,besidessupporting the learning process, it can also improve student achievement. Noiseisdisturbingin the learning process, as well as theavailability offacilities and infrastructure will greatly affectthe comfort ofthe studentsinthe school. The purpose ofthis research is to determinethe comfort level ofstate senior highschoolstudyinthe city of Denpasarin termsofnoise levels, the availability andmanagement ofschool facilities and infrastructure and student perception against school envirumental level. The research methodused isdescriptivequantitativemethod. The locationof the research wasconductedin 8 State Senior High Schoolinthe city of Denpasar. Measurements ofnoise levelsateach schoolis capturedfromninesample pointsbyusing asound level meterand surveyof schoolfacilities and infrastructurethat are environmentally friendly. The comfort level of public high school learning environment in the city of Denpasar based on the level of noise has exceeded the qualty standard 55 dB, with the highest noise in the school yard of 73,0 dB, which motor vechicles as the main caused. Temperature and humidity do not affect the level of comfort, because they already meet the standards. Lighting of class room in eight public high school in the city of Denpasar very well. Because it meets the quality standard. Availability and management infrastructure is optimal and adequate to support mostly high school in the city of Denpasar. Support in the facilities and infrastructure have been seen in SMAN 3 Denpasar. Almost all students in eight high school in the city of Denpasar stated that the school environment is comfortable, even SMAN 3 Denpasar stated very comfotable at around 62,85 per cent

Studi Eutrofikasi Akibat Aktivitas Penggunaan Lahan di Danau Buyan

EUTROPHIC STUDY TO  EVALUATE THE IMPACT OF LAND USE ACTIVITY IN BUYAN LAKE Increased  in land use activity in Buyan Lake catchment area can be a threat to multifunction of the lake.  Identification  the impact due to land use activity is to important of lake management.  This study aims to know the land use and its activities, predicted the yield of sediment and nutrient losses, and knew of trophic state for the lake.  The Lake Buyan catchment area is 1,943.8 ha.  This research use survey method and in situ and ex situ measurement from  March to May 2017.  Type of data collected were land use and its activities, C-organic and soil nutrient, and variables of trophic state for the lake. This study showed that dryland vegetables crops with bench terrace by low standard contruction,  shrub with grass, and coffee plantation with traditional terrace with area each of 71.9 ha (3.7%), 43.0 ha (2.2%), and 25.4 ha (1.3%) respectively has an erosion of higher than tolerable soil loss. The sediment yield and C-organic, nitrogen, phosphate and potassium losses with the amount each of 9,399.4, 266.6, 14.5, 15.8, and 58.7 ton year-1 respectively, and with soil and water conservation practices is very effective to reduced  the sediment yield and  C-organic, nitrogen, phosphate and potassium losses with the amount each of 3,160.1, 89.6, 4.9, 5.3, and 19.7 ton  year-1.  Average of nitrogen, phosphate, chlorophyll a, and tranparency with the value each of 3,500, 118.4, 48.2 µg L-1 and 1.8 m showed that trophic state for Buyan Lake is euthrophic until hypereuthrophic, and a moderate euthrophic indicated from the average TSI with the value of 64.3. Key words : Buyan Lake, land use, erosion, sediment yield, eutrophi

Monitoring Mangrove Area in Benoa Bay Using Landsat Tm and Etm + Data

Mangrove ecosystems are crucial for the management of some coastal resources in Indonesia. Thisresearch used Landsat TM 1994, Landsat ETM+ 2002 with the purpose to know mangrove area change foreight years, mangrove density and accuracy of image as source of data to mangrove area in Benoa Bay. Fromimage analysis that using maximum likelihood method, the mangrove is classified into 3 classes i.e.:mangroves with high density, medium density and low density. For the ground check, used single plotmethod by using 6 trees.The extent of mangrove area in Benoa Bay were 447.69 ha in 1994 and 622.08 ha in 2002. Thechange of the extent of mangrove area during 8 years (1994 – 2002) increased by 174.41 ha. The area ofdensities in 1994, high density was 225.15 ha, medium density was 122.48 ha and low density was 130.05ha. In 2002, high density was 262.8 ha, medium density was 265.95 ha, and low density was 133.30 ha.Based on the regression analysis between mangrove density and the value of interpretation, the density ofmangrove in Benoa Bay which the criteria of high density is 364.723 – 466.311 tree/ha, medium density is237.738 - 364.723 tree/ha and low density is 186.944 – 237.738 tree/ha. The determination coefficient (r2)was 0.6312. Based on the regression analysis in 2002 used in interpretation of mangrove density in 1994,which the criteria of high density is 357.10 tree/ha –316.47 tree/ha, medium density is 273.29 tree/ha –316.47 tree/ha and low density is 252.98 tree/ha –273.29 tree/ha.The accuracy of the Landsat ETM+ 2002 for mangrove area classification in Benoa Bay was 90%.These values were above the acceptable limit of accuracy stated of 80 %, so that this classification accuracywas acceptable