Knowledge Base for Project Work

Penelitian ini bertujuan untuk menentukan model pembelajaran yang dapat meningkatkan motivasi dan hasil belajar pada kompetensi pengolahan rumput laut sub materi pengolahan selai rumput laut pada siswa SMK Negeri 2 Negara, Program Keahlian Agribisnis Pengolahan Hasil Perikanan. Subyek penelitian siswa kelas XI APHP 1 SMK N 2 Negara Tahun Pelajaran 2017/2018 sejumlah 36 siswa. Penelitian dilakukan metode penelitian tindakan kelas yang terdiri dari 2 siklus. Setiap siklus terdiri dari tahap perencanaan, tindakan, observasi, dan refleksi. Sebelum siklus 1 pembelajaran dilaksanakan secara konvensional dan pada siklus 1 dan 2 pembelajaran dilaksanakan dengan model Project Work. Data yang digunakan pada setiap siklus adalah nilai hasil tes praktik dan angket tentang motivasi belajar yang dibagikan ke semua siswa. Hasil penelitian menunjukkan bahwa dengan model pembelajaran Project Work dapat meningkatkan motivasi dan hasil belajar siswa. Rata-rata nilai tes praktik terjadi kenaikan dari semula 6,30 menjadi 7,20 pada siklus 1, dan pada siklus 2 menjadi 7,81. Motivasi belajar siswa mengalami peningkatan dari kondisi awal sebanyak 72,22 % siswa memiliki motivasi sedang dan 27, 77 % siswa memiliki motivasi tinggi, pada siklus 1 ditemui sebanyak 91,67 % siswa memiliki motivasi tinggi dan 8,33 % motivasinya sangat tinggi, sedangkan pada siklus 2 terdapat 5,55 % siswa memiliki motivasi tinggi dan 94,44 % memiliki motivasi sangat tinggi. Kata Kunci: Metode Project Work, peningkatan motivasi, hasil belajar.

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Evaluation of Capacity of Salandi Reservoir Using Remote Sensing Data Along With Qgis Software

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i8.164 ◽

2018 ◽

Vol 6 (8) ◽

pp. 339

Author(s):

Rupali Dhal ◽

D. P. Satapathy

Keyword(s):

Remote Sensing ◽

Satellite Data ◽

Remote Sensing Data ◽

Project Work ◽

Space Technology ◽

Reservoir Water ◽

Sediment Distribution ◽

Sensing Data ◽

Spread Area ◽

Water Spread

The dynamic aspects of the reservoir which are water spread, suspended sediment distribution and concentration requires regular and periodical mapping and monitoring. Sedimentation in a reservoir affects the capacity of the reservoir by affecting both life and dead storages. The life of a reservoir depends on the rate of siltation. The various aspects and behavior of the reservoir sedimentation, like the process of sedimentation in the reservoir, sources of sediments, measures to check the sediment and limitations of space technology have been discussed in this report. Multi satellite remote sensing data provide information on elevation contours in the form of water spread area. Any reduction in reservoir water spread area at a specified elevation corresponding to the date of satellite data is an indication of sediment deposition. Thus the quality of sediment load that is settled down over a period of time can be determined by evaluating the change in the aerial spread of the reservoir at various elevations. Salandi reservoir project work was completed in 1982 and the same is taken as the year of first impounding. The original gross and live storages capacities were 565 MCM& 556.50 MCM respectively. In SRS CWC (2009), they found that live storage capacity of the Salandi reservoir is 518.61 MCM witnessing a loss of 37.89 MCM (i.e. 6.81%) in a period of 27 years.The data obtained through satellite enables us to study the aspects on various scales and at different stages. This report comprises of the use of satellite to obtain data for the years 2009-2013 through remote sensing in the sedimentation study of Salandi reservoir. After analysis of the satellite data in the present study(2017), it is found that live capacity of the reservoir of the Salandi reservoir in 2017 is 524.19MCM witnessing a loss of 32.31 MCM (i.e. 5.80%)in a period of 35 years. This accounts for live capacity loss of 0.16 % per annum since 1982. The trap efficiencies of this reservoir evaluated by using Brown’s, Brune’s and Gill’s methods are 94.03%, 98.01and 99.94% respectively. Thus, the average trap efficiency of the Salandi Reservoir is obtained as 97.32%.

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