scholarly journals PENAMBAHAN SERBUK LIMBAH KACA DAN ABU DAUN BAMBU TERHADAP KINERJA PAVING BLOCK

2021 ◽  
Vol 10 (2) ◽  
pp. 398-416
Author(s):  
Anita Intan Nura Diana ◽  
Subaidillah Fansuri
Keyword(s):  
Block Data

Kaca merupakan salah satu benda yang tidak bisa dilepaskan dari kehidupan manusia. Berdasarkan data Menteri Lingkungan dan Kehutanan (LHK) tahun 2020 menyebutkan bahwa data sampah di Indonesia mencapai 67.8 juta ton, dari jumlah tersebut 0.7 juta ton merupakan sampah kaca. Diketahui jenis sampah yang dihasilkan di Indonesia adalah sampah organik (60%), sampah plastik (14%), sampah kertas (9%), metal (4.3%), kaca dan kayu (12.7%). Tujuan penelitian ini “Mengetahui pengaruh penambahan serbuk limbah kaca dan abu daun bambu terhadap kinerja paving block”. Data yang dibutuhkan dalam penelitian ini adalah data primer dan data sekunder. Teknik yang digunakan untuk mengumpulkan data primer dalam penelitian ini adalah metode eksperimental. Data yang akan dianalisis diperoleh dari hasil pengujian di laboratorium dengan menggunakan 45 sampel. Data dianalisis dengan menggunakan uji Regresi Linier berganda. Semua analisis menggunakan software SPSS yang kemudian di sajikan dalam bentuk tabel, gambar dan deskripsi. Hasil penelitian menunjukan rata-rata mutu kuat tekan paving block adalah mutu B dengan persamaan regresi Y = 19.010+ (-0.119) X1 + (0.063) X2, sedangkan untuk penyerapan adalah mutu D dengan persamaan regresi Y = 10.598 + (-0.094) X1 + (-0.001) X2. Secara general, penambahan limbah kaca dan abu daun bambu memberikan pengaruh terhadap kuat tekan dan penyerapan air paving block.

Bulk and block holders herding behaviour

2018 ◽  
Vol 7 (2) ◽  
pp. 150-171
Author(s):  
Ganesh R. ◽  
Naresh Gopal ◽  
Thiyagarajan S.
Keyword(s):  
Economic Performance ◽  
Institutional Investors ◽  
Design Methodology ◽  
Indian Market ◽  
Foreign Investors ◽  
Content Type ◽  
Industrial Sectors ◽  
Block Data ◽  
Block Holders

Purpose The purpose of this paper is to examine industry herding among the institutional investors and to find whether their herding behaviour is intentional or unintentional. Design/methodology/approach The study uses Lakonishok et al. (1992) model to examine the presence of industry herding behaviour among institutional investors. To determine whether the herding observed is intentional or unintentional, herding measure is regressed with volatility, volume, beta and return. The period of the study is from 1 April 2005-31 March 2015. Findings The findings of the study showed that though institutional investors have herding tendency towards most of the industries, in the overall period industry herding was not significant. The herding found in some industrial sectors was linked to economic performance of those sectors in India during the period of study and hence the herding was unintentional in nature. Research limitations/implications This is the first attempt to study industry herding among institutional investors and their intent in Indian market ever since the country opened its market to foreign investors in a big way. Present study is limited to the use of only bulk/block data instead of the entire trading data for the period. Originality/value This study is the first attempt to investigate industry herding behaviour of institutional investors in the market using their bulk and block trading data. The herding observed in well performing industries has been shown to be unintentional and hence rational. The results indicate that the entry of big institutional investors, including foreign institutions into the Indian market has not destabilised the market by irrational herding.

scholarly journals Ecometabolic mixture design-fingerprints from exploratory multi-block data analysis in Coffea arabica beans from climate changes: elevated carbon dioxide and reduced soil water availability

2021 ◽  
pp. 129716
Author(s):  
Gustavo Galo Marcheafave ◽  
Cláudia Domiciano Tormena ◽  
Amelia Elena Terrile ◽  
Carlos Alberto Rossi Salamanca-Neto ◽  
Elen Romão Sartori ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Data Analysis ◽  
Soil Water ◽  
Water Availability ◽  
Coffea Arabica ◽  
Climate Changes ◽  
Elevated Carbon Dioxide ◽  
Mixture Design ◽  
Soil Water Availability ◽  
Block Data

scholarly journals OnPLS-Based Multi-Block Data Integration: A Multivariate Approach to Interrogating Biological Interactions in Asthma

2018 ◽  
Vol 90 (22) ◽  
pp. 13400-13408 ◽  
Author(s):  
Stacey N. Reinke ◽  
Beatriz Galindo-Prieto ◽  
Tomas Skotare ◽  
David I. Broadhurst ◽  
Akul Singhania ◽  
...  
Keyword(s):  
Data Integration ◽  
Biological Interactions ◽  
Multivariate Approach ◽  
Block Data

A New Block Data Hiding Method for the Binary Image

2011 ◽  
pp. 762-769 ◽  
Author(s):  
Jeanne Chen ◽  
Tung-Shou Chen ◽  
Meng-Wen Cheng
Keyword(s):  
Data Hiding ◽  
Web Technology ◽  
Binary Image ◽  
The Internet ◽  
Security Measures ◽  
Huge Amount ◽  
Internet Users ◽  
Block Data ◽  
Data Transfers ◽  
Pass Through

Great advancements in Web technology have resulted in increase activities on the Internet. Users from all walks of life — e-commerce traders, professionals and ordinary users — have become very dependent on the Internet for all sorts of data transfers, be it important data transactions or friendly exchanges. Therefore, data security measures on the Internet are very essential and important. Also, steganography plays a very important role for protecting the huge amount of data that pass through the internet daily.

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