scholarly journals PENERAPAN MODEL PEMBELAJARAN AKTIF INDEX CARD MATCH UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS VIIIA DI MTS BURHANUL ABRAR SITUBONDO

2021 ◽  
Vol 1 (1) ◽  
pp. 1-7
Author(s):  
Candra Yulianto ◽  
Dassucik Dassucik
Keyword(s):  
Index Card ◽  
Area Data

Pembelajaran aktif adalah Suatu pembelajaran yang mengajak peserta didik untuk belajar secara aktif. Ketika peserta didik belajar dengan aktif, Index Card Match merupakan salah satu teknik instruksional dari belajar aktif bagian reviewing strategies (strategi pengulangan) yang dapat membantu siswa mengingat apa yang telah mereka pelajari dan menguji kemampuan serta pengetahuan yang telah mereka terima. Penelitian ini dilaksankan pada siswa MTs Burhanul Abrar kelas VIII mulai bulan Nopember/Desember 2013 dengan siswa 35 yang menjadi tempat penelitian. Jenis penelitian ini adalah penelitian tindakan kelas dengan mengunakan pendekatan kualitatif, pengumpulan data mengunakan observasi, test, wawancara dan dokumentasi. Data yang di kumpulkan berupa jawaban siswa terhadap test pendahuluan, I dan II yang dilakukan  oleh peneliti. Melalui pembelajaran Aktif Index Card Match, dimana rumusan masalah adalah bagaimana Penerapan Model Pembelajaran Aktif Index Card Match Untuk meningkatkan hasil belajar siswa pada mata pelajaran Ekonomi dengan Kompetensi Dasar “Mendeskripsikan Hubungan Antara Kelangkaan Sumber Daya Dengan Kebutuhan Menusia Tidak Terbatas” Kelas VIIIA Di MTs Burhanul Abrar Tahun Pelajaran 2013/2014? dan tujuan penelitian adalah Ingin mengetahui bagaimana Penerapan Model Pembelajaran Aktif Index Card Match Untuk meningkatkan hasil belajar siswa pada mata pelajaran Ekonomi dengan Kompetensi Dasar “Mendeskripsikan Hubungan Antara Kelangkaan Sumber Daya Dengan Kebutuhan Menusia Tidak Terbatas” Kelas VIIIA Di MTs Burhanul Abrar Tahun Pelajaran 2013/2014”. Responden penelitian siswa MTs Burhanul Abrar kelas VIII dipilih secara purposive sanpling area. Data yang dikumpulkan berupa Ulangan Harian I dan II dan wawancara dilakukan selama penelitian berlangsung. pada hasil ketuntasan siswa secara klasikal pada ulangan harian. Pada ulangan harian mengalami peningkatan dari siklus I sampai siklus II. Dimana siklus I, persentase ketuntasan yaitu 77% secara klasikal dari 27 siswa, siswa yang tidak tuntas 23% secara klasikal atau 8 Siswa dan siklus II yaitu 100% dari 35 siswa secara Klasikal yang mengikuti ulangan harian 35 siswa. Dengan demikian peningkatan persentase ketuntasan hasil belajar dari siklus I ke siklus II adalah 23%, dari hasil penelitian disimpulkan bahwa penerapan pembelajaran Aktif Index Card Match dapat meningkatkan persentase ketuntasan hasil belajar siswa pada MTs Burhanul Abrar kelas VIIIA tahun pelajaran 2013/2014.

A Study on the Farmers’ Awareness and Acceptance of Biofertilizers in Kottayam District

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 425-431
Author(s):  
Subin Thomas ◽  
Dr. M. Nandhini
Keyword(s):  
Organic Matter ◽  
Nitrogen Fixation ◽  
Plant Growth ◽  
Plant Growth Promoting Rhizobacteria ◽  
Nutrient Cycle ◽  
Plant Growth Promoting ◽  
Promote Plant Growth ◽  
Growth Promoting ◽  
Structured Questionnaire ◽  
Area Data

Biofertilizers are fertilizers containing microorganisms that promote plant growth by improving the supply of nutrients to the host plant. The supply of nutrients is improved naturally by nitrogen fixation and solubilizing phosphorus. The living microorganisms in biofertilizers help in building organic matter in the soil and restoring the natural nutrient cycle. Biofertilizers can be grouped into Nitrogen-fixing biofertilizers, Phosphorous-solubilizing biofertilizers, Phosphorous-mobilizing biofertilizers, Biofertilizers for micro nutrients and Plant growth promoting rhizobacteria. This study conducted in Kottayam district was intended to identify the awareness and acceptance of biofertilizers among the farmers of the area. Data have been collected from 120 farmers by direct interviews with structured questionnaire.

Mosses of the State Nature Reserve "Kurgalskiy" (Leningrad Region)

2019 ◽  
Vol 53 (2) ◽  
pp. 369-384
Author(s):  
G. Ya. Doroshina ◽  
E. G. Ginzburg ◽  
L. E. Kurbatova
Keyword(s):  
Protected Area ◽  
Nature Reserve ◽  
The State ◽  
Leningrad Region ◽  
Protected Species ◽  
State Nature Reserve ◽  
First Time ◽  
State Nature ◽  
Area Data

The paper provides the data on mosses of the State Nature Reserve ”Kurgalskiy” situated in the Kingisepp District of the Leningrad Region. The list includes 136 species. Among them Plagiothecium nemorale is new for the Leningrad Region, 83 species are recorded for the first time for the protected area, 12 species are protected in the region, Aulacomnium androgynum is protected in Russia. Of the protected species, Plagiothecium latebricola is recorded for the first time for the protected area. Data on habitats, substrates and frequency of every species are provided.

Comparing Two Methods of Reweighting a Survey File toSmall Area Data

2013 ◽  
Vol 7 (1) ◽  
pp. 76-99 ◽  
Author(s):  
Robert Tanton ◽  
Paul Williamson ◽  
Ann Harding
Keyword(s):  
Area Data

Procurement Analytics: Enabling Data Architectures in the Age of Big Data

2020 ◽  
Author(s):  
Michael Goul ◽  
T. S. Raghu ◽  
Ziru Li
Keyword(s):  
Big Data ◽  
Academic Research ◽  
Research Literature ◽  
Structured Interviews ◽  
Data Space ◽  
Prescriptive Analytics ◽  
Data Architecture ◽  
The Future ◽  
High Level ◽  
Area Data

As procurement organizations increasingly move from a cost-and-efficiency emphasis to a profit-and-growth emphasis, flexible data architecture will become an integral part of a procurement analytics strategy. It is therefore imperative for procurement leaders to understand and address digitization trends in supply chains and to develop strategies to create robust data architecture and analytics strategies for the future. This chapter assesses and examines the ways companies can organize their procurement data architectures in the big data space to mitigate current limitations and to lay foundations for the discovery of new insights. It sets out to understand and define the levels of maturity in procurement organizations as they pertain to the capture, curation, exploitation, and management of procurement data. The chapter then develops a framework for articulating the value proposition of moving between maturity levels and examines what the future entails for companies with mature data architectures. In addition to surveying the practitioner and academic research literature on procurement data analytics, the chapter presents detailed and structured interviews with over fifteen procurement experts from companies around the globe. The chapter finds several important and useful strategies that have helped procurement organizations design strategic roadmaps for the development of robust data architectures. It then further identifies four archetype procurement area data architecture contexts. In addition, this chapter details exemplary high-level mature data architecture for each archetype and examines the critical assumptions underlying each one. Data architectures built for the future need a design approach that supports both descriptive and real-time, prescriptive analytics.

Predicted Number of Pregnant Women in Aichi Prefecture, Japan: Estimation by Machine Learning Database Construction for Disaster Preparation

2021 ◽  
pp. 1-9
Author(s):  
Kanetoshi Hattori ◽  
Ritsuko Hattori
Keyword(s):  
Machine Learning ◽  
Pregnant Women ◽  
Disaster Preparedness ◽  
Correlation Coefficients ◽  
Database Construction ◽  
Aichi Prefecture ◽  
Cascade Correlation ◽  
Correlation Learning ◽  
Disaster Preparation ◽  
Area Data

Abstract Aichi prefecture, Japan is predicted to be hit by Mega-earthquake. Aichi Prefectural Association of Midwives has been making efforts to improve disaster preparedness for pregnant women. This project aims to acquire area data of pregnant women for simulated studies of rescue activities. Number of women in census survey areas in Nagoya City was acquired from nationwide data of pregnant women by machine learning (Cascade-Correlation Learning Architecture). Quite high correlation coefficients between actual data and estimation data were observed. Rescue simulations have been carried out based on the data acquired by this study.

scholarly journals Small-area data on socioeconomic status and immigrant groups for evaluating equity of early cancer detection and care

2021 ◽  
pp. 1-6
Author(s):  
Ulf Strömberg ◽  
Brandon L. Parkes ◽  
Amir Baigi ◽  
Carl Bonander ◽  
Anders Holmén ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Cancer Detection ◽  
Small Area ◽  
Early Cancer ◽  
Early Cancer Detection ◽  
Area Data

Human influences on breeding of south polar skuas in the eastern Larsemann Hills, Princess Elizabeth Land, East Antarctica

Polar Record ◽  
1996 ◽  
Vol 32 (180) ◽  
pp. 43-50 ◽  
Author(s):  
Z. Wang ◽  
F.I. Norman ◽  
J.S. Burgess ◽  
S.J. Ward ◽  
A.P. Spate ◽  
...  
Keyword(s):  
Breeding Success ◽  
Human Activities ◽  
Annual Variation ◽  
East Antarctica ◽  
Larsemann Hills ◽  
Catharacta Maccormicki ◽  
Area Development ◽  
South Polar ◽  
Made In ◽  
Area Data

AbstractBreeding activity of pairs of south polar skuas (Catharacta maccormicki) in the eastern Larsemann Hills, Princess Elizabeth Land, East Antarctica, was recorded in five of six austral summers between 1988 and 1994. More detailed observations of breeding success were made in the 1989/90 and 1993/94 summers. Although relatively few skuas nest in the study area, data suggest that there was inter-annual variation in numbers and locations of territories and chicks fledged. This variation is discussed in relation to increased human activities in the area (development of a summer base and more permanent stations) and to an enhanced access to human-derived foods. It is concluded that there has been some human impact on this species in the Larsemann Hills.

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