scholarly journals Temporal analysis on spectral reflectance of clove vegetation based on landsat 8 imagery

2022 ◽  
Vol 6 (1) ◽  
pp. 1-8
Author(s):  
I Made Yuliara ◽  
Ni Nyoman Ratini ◽  
I Gde Antha Kasmawan
Keyword(s):  
Spectral Reflectance ◽  
Visible Spectrum ◽  
Image Data ◽  
Temporal Analysis ◽  
Acquisition Time ◽  
Landsat 8 ◽  
Average Percentage ◽  
Average Value ◽  
Graph Pattern ◽  
Analysis Technique

This study aims to analyze temporally the spectral reflectance of clove vegetation using Landsat 8 multitemporal imagery data in Buleleng district, Bali. The analysis method uses the conversion of raw data from Landsat 8 images to the spectral reflectance value at the Top of Atmosphere (TOA). This conversion scales back the pixel values ??of the Landsat 8 image in the visible spectrum, namely bands 2, 3, 4 and infrared bands 5, 6, and 7 into percentage units. The temporal analysis technique is carried out by grouping the time series of Landsat 8 image data for 1 period, in 2015, into 4 quarterly groups based on the acquisition time, namely Quarter I (January, February, March), Quarter II (April, May, June), Quarter III (July, August, September) and Quarter IV (October, November, December). The results showed that the graph pattern of the average percentage of spectral reflectance in each quarter was the same and in the infrared spectrum was greater than the visible spectrum. The average value of the largest spectral reflectance was found in the second Quarter which was acquired by band 5 of 28.143%, while the smallest in the first Quarter which was acquired by band 2 was 2.503%.

scholarly journals PENINGKATAN AKTIVITAS DAN HASIL BELAJAR MATEMATIKA MATERI BANGUN DATAR MENGGUNAKAN ALAT PERAGA GEOMETRI DATAR KELAS III SDN 008 SANGATTA SELATAN

2020 ◽  
Vol 4 (2) ◽  
pp. 130-136
Author(s):  
Sunarti Sunarti
Keyword(s):  
Data Analysis ◽  
Learning Outcomes ◽  
Action Observation ◽  
Mathematics Learning ◽  
Activity Cycle ◽  
Class Iii ◽  
Average Percentage ◽  
Average Value ◽  
Analysis Technique ◽  
Increased Activity

This researcher bertutuan to improve the activity and learning outcomes in mathematics through Materials Up Datat Props to the Geometry of the Flat in class III SDN 008 South Sangatta. This research is motivated by low activity mathematics learning outcomes of students class III SDN 008 South Sangatta. Subject this research is students class III SDN 008 South Sangatta which amounted to 20 students. This research type is Classroom Action Research (classroom Action). With research that use is the model Kemmis which includes the stages of planning, implementation of action, observation, and reflection. The instrument of data collection used is the observation sheet. The data analysis technique used is data analysis descriptive qualitative.             Based on the results of data analysis at cycle I of meeting I activity the students showed 30%, meeting 2 shows 39%, meeting 3 showed 47%, the average value of student activity cycle I shows 42%, classified as criteria low. After repair there was an increase in cycle II meeting I Activity the student demonstrates 80%, meeting 2 shows 86%, meeting 3 show that 92%, the average value of students of cycle II showed 86%, quite high criteria. This increase occurs where students always pay attention to his weaknesses and trying to memprbaikinya seemingly on the stages of the cycle that there is always an increase. Increased activity of students can also affect the improvement of student learning which indicates the average percentage of the first cycle 61%, cycle II is 78%. From the results of the research show that props up a flat geometry flat can increase the activity and learning outcomes in mathematics in class III SDN 008 South Sangatta.

scholarly journals Spatial Temporal Analysis of Coral Reefs in Belitung Tourism Destination Islands

2018 ◽  
Vol 73 ◽  
pp. 03024
Author(s):  
Pavita Raudina Sari ◽  
Ratna Saraswati ◽  
Adi Wibowo
Keyword(s):  
Coral Reefs ◽  
Image Data ◽  
Temporal Analysis ◽  
Landsat 8 ◽  
Tourism Destination ◽  
Natural Factor ◽  
Tourist Attractions ◽  
Natural Factors ◽  
Landsat 7 ◽  
Landsat Satellite

One of the world’s most spectacular ecosystems in this world is the coral reef. In Indonesia, Bangka Belitung is one province which has beautiful coral reefs and has become one of the tourist attractions. However, there might be a loss of the coral reefs area that can be caused by natural factors and human activities. This study aims to analyze the distribution and the changing of coral reefs that occurred in the islands of tourist destination in Belitung Regency from 2005 to 2018 and to analyze its factors. Landsat satellite imageries used in this study are Landsat 5 TM, Landsat 7 ETM+, and Landsat 8 OLI/TIRS. The distribution of coral reefs will be determined by image data processing. Then, overlay methods are used to analyze the changes and its factors. Based on the analysis, in the year of 2005-2018, there are 3.93 km2 areas of coral reefs that have decreased. On the top of that, there are 1.34 km2 or about 34.04% of coral reefs areas have decreased that caused by non-natural factors. It can be concluded that the decreased of the coral reefs occurred in Belitung tourism destination islands, are still dominated by natural factors rather than a non-natural factor.

scholarly journals HUBUNGAN MINAT BELAJAR IPA SISWA KELAS V SD NEGERI 2 PELEMKEREP TERHADAP HASIL BELAJAR SELAMAPEMBELAJARAN DARING

2020 ◽  
Vol 1 (3) ◽  
pp. 243-250
Author(s):  
Dicky Ahmad Nor Sidiq ◽  
Fina Fakhriyah ◽  
Siti Masfuah
Keyword(s):  
Online Learning ◽  
Learning Outcomes ◽  
Learning Science ◽  
Class V ◽  
Average Percentage ◽  
Average Value ◽  
Analysis Technique ◽  
Independent Variable ◽  
Learning Interest ◽  
The Relationship

The purpose of this study was to analyze the students' interest in learning science class V SD Negeri 2 Pelemkerep during online learning and to analyze the relationship between interest in learning science and learning outcomes for students at SD Negeri 2 Pelemkerep during online learning. This study uses a quantitative approach to the type of correlation research. Correlation research is a study conducted to find the level of relationship between variables and to find out how big the relationship between each variable is used. This research was conducted in class V SD Negeri 2 Pelemkerep Jepara. The independent variable in this study is the interest in learning science, while the dependent variable is the result of learning science. The data analysis technique used is the product moment correlation test and one sample t test. The results of this study indicate that (1) there is a relationship between interest in learning science and learning outcomes of students at SD Negeri 2 Pelemkerep during online learning with a correlation coefficient value of 0.905 in the very strong category and (2) the average interest in learning science for students at SD Negeri 2 Pelemkerep during online learning> 50% with an average value of the questionnaire on learning interest of 86.04 and an average value of learning outcomes in science learning of 83.78. Based on the results of the calculation, the average percentage of the answers to the questionnaire on the students' interest in learning science as a whole was 54.36%, meaning that most students had an interest in learning science.

scholarly journals PENERAPAN METODE COOPERATIF LEARNING TIPE JIGSAW UNTUK MENINGKATKAN MOTIVASI DAN HASIL BELAJAR MAHASISWA

2021 ◽  
Vol 8 (2) ◽  
pp. 113-133
Author(s):  
Juni Agus Simaremare ◽  
Emelda Thesalonika
Keyword(s):  
Cooperative Learning ◽  
Learning Outcomes ◽  
Action Observation ◽  
Learning Motivation ◽  
Learning Method ◽  
Average Percentage ◽  
Average Value ◽  
Analysis Technique ◽  
Main Basis ◽  
Motivation And Learning

The low motivation and student learning outcomes are the main basis for this research to be carried out. The purpose of this study was to determine whether the jigsaw cooperative learning method could increase the motivation and learning outcomes of PGSD students at HKBP Nommensen Pematangsiantar University. This study uses the Classroom Action Research method. Data collection methods in this study were documentation, interviews, questionnaires, and observation. The data analysis technique in this study is a qualitative descriptive technique. Operational steps of research include planning, action, observation, reflection. The results showed that the application of the jigsaw type of cooperative learning method can increase student motivation and learning outcomes. The value of motivation and learning outcomes in learning for the pre-cycle ranged from 2.5%-72.5% or an average indicator of 40.83%. The value of motivation and learning outcomes in the first cycle ranged from 30%-100% or the average percentage of indicators reached 70.42%. The target for the learning motivation questionnaire is the average indicator of each aspect reaches more than or equal to 75%. The value of learning motivation for the second cycle ranged from 75%-79.38%. The average indicator is 76.44%. From the percentage and average value of pre-cycle, cycle I, and cycle II, it can be concluded that the jigsaw type cooperative learning method can improve motivation and learning outcomes of PGSD students at HKBP Nommensen Pematangsiantar University. Abstrak Rendahnya motivasi dan hasil belajar mahasiswa menjadi dasar utama penelitian ini dilakukan. Tujuan penelitian ini adalah untuk mengetahui apakah metode pembelajaran kooperatif tipe jigsaw dapat meningkatkan motivasi dan hasil belajar mahasiswa PGSD Universitas HKBP Nommensen Pematangsiantar. Penelitian ini menggunakan metode Penelitian Tindakan Kelas. Metode pengumpulan data dalam penelitian ini adalah dokumentasi, wawancara, angket, dan observasi. Teknik analisis data dalam penelitian ini adalah teknik deskriptif kualitatif. Langkah operasional penelitian meliputi tahap perencanaan, tindakan, pengamatan, refleksi. Hasil Penelitian menunjukkan penerapan metode pembelajaran kooperatif tipe jigsaw dapat meningkatkan motivasi dan hasil belajar mahasiswa. Nilai motivasi dan hasil belajar dalam pembelajaran untuk prasiklus berkisar antara 2,5%-72,5% atau rata-rata indikator sebesar 40,83%. Nilai motivasi dan hasil belajar pada siklus I berkisar antara 30%-100% atau rata-rata persentase indikator yaitu mencapai 70,42%. Target untuk angket motivasi belajar adalah rata-rata indikator tiap aspek mencapai lebih dari atau sama dengan 75%. Nilai motivasi belajar untuk siklus II berkisar antara 75%-79,38%. Rata-rata indikator sebesar 76,44%. Dari persentasi dan rata-rata nilai prasiklus, siklus I, dan siklus II dapat disimpulkan bahwa metode pembelajaran kooperatif tipe jigsaw dapat meningkatkan motivasi dan hasil belajar mahasiswa PGSD Universitas HKBP Nommensen Pematangsiantar. Kata kunci : Metode Pembelajaran Kooperatif, Tipe Jigsaw, Motivasi dan Hasil Belajar

Comparison of Techniques for EELS Mapping in Biology

1996 ◽  
Vol 54 ◽  
pp. 300-301
Author(s):  
R.D. Leapman ◽  
S.B. Andrews
Keyword(s):  
Electron Microscope ◽  
Transmission Electron Microscope ◽  
Image Data ◽  
Beam Current ◽  
Quantitative Information ◽  
Acquisition Time ◽  
Uniform Thickness ◽  
Electron Dose ◽  
Array Detectors ◽  
Transmission Electron

Elemental mapping of biological specimens by electron energy loss spectroscopy (EELS) can be carried out both in the scanning transmission electron microscope (STEM), and in the energy-filtering transmission electron microscope (EFTEM). Choosing between these two approaches is complicated by the variety of specimens that are encountered (e.g., cells or macromolecules; cryosections, plastic sections or thin films) and by the range of elemental concentrations that occur (from a few percent down to a few parts per million). Our aim here is to consider the strengths of each technique for determining elemental distributions in these different types of specimen.On one hand, it is desirable to collect a parallel EELS spectrum at each point in the specimen using the ‘spectrum-imaging’ technique in the STEM. This minimizes the electron dose and retains as much quantitative information as possible about the inelastic scattering processes in the specimen. On the other hand, collection times in the STEM are often limited by the detector read-out and by available probe current. For example, a 256 x 256 pixel image in the STEM takes at least 30 minutes to acquire with read-out time of 25 ms. The EFTEM is able to collect parallel image data using slow-scan CCD array detectors from as many as 1024 x 1024 pixels with integration times of a few seconds. Furthermore, the EFTEM has an available beam current in the µA range compared with just a few nA in the STEM. Indeed, for some applications this can result in a factor of ~100 shorter acquisition time for the EFTEM relative to the STEM. However, the EFTEM provides much less spectral information, so that the technique of choice ultimately depends on requirements for processing the spectrum at each pixel (viz., isolated edges vs. overlapping edges, uniform thickness vs. non-uniform thickness, molar vs. millimolar concentrations).

EFEKTIVITAS STRATEGI CLOZE STORY MAPPING TERHADAP KEMAMPUAN MEMBACA PEMAHAMAN PADA SISWA KELAS V DI SD 2 PADOKAN KASIHAN BANTUL

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Danuri Danuri ◽  
Dwendha Lahitani
Keyword(s):  
Data Analysis ◽  
Learning Strategy ◽  
T Test ◽  
Effective Learning ◽  
Average Value ◽  
Story Mapping ◽  
Analysis Technique ◽  
Significant Difference ◽  
Quasi Experimental ◽  
Class Average

This study aims to determine the effectiveness of CSM strategies on comprehension reading skills in classes V Padokan 2 Elementary School. The research method used is a quasi-experimental method. In this study the subjects of the study were VA class students as the control class and V C as the experimental class with 28 VA and VC class students. Quantitative data analysis technique used is the calculation of independent sample t-test. Based on data analysis and discussion, researchers can conclude that CSM strategies are more effective than conventional methods of reading comprehension learning. The results of this study indicate that there is a significant difference between the experimental class and the control class as evidenced by the results of the independent sample t-test obtained by the value of Asymp. Sig (2-Tailed) 0.014 <0.05. CSM strategy is an effective learning strategy seen from the average value of the experimental class posstest which is 81.61 higher than the control class average value of 72.96.

Assessment of mangrove forest change in Ca Mau province using satellite images in the period of 1988 - 2018

2021 ◽  
Vol 66 (1) ◽  
pp. 175-187
Author(s):  
Duong Phung Thai ◽  
Son Ton
Keyword(s):  
Satellite Images ◽  
Satellite Image ◽  
Image Interpretation ◽  
Image Data ◽  
Vegetation Coverage ◽  
Landsat 8 ◽  
Mangrove Forests ◽  
Forest Change ◽  
Shrimp Ponds ◽  
Area Classification

On the basis of using practical methods, satellite image processing methods, the vegetation coverage classification system of the study area, interpretation key for the study area, classification and post-classification pro cessing, this research introduces how to exploit and process multi-temporal satellite images in evaluating the changes of forest area. Landsat 4, 5 TM and Landsat 8 OLI remote sensing image data were used to evaluate the changes in the area of mangrove forests (RNM) in Ca Mau province in the periods of 1988 - 1998, 1998 - 2013, 2013 - 2018, and 1988 - 2018. The results of the image interpretation in 1988, 1998, 2013, 2018 and the overlapping of the above maps show: In the 30-year period from 1988 to 2018, the total area of mangroves in Ca Mau province was decreased by 28% compared to the beginning, from 71,093.3 ha in 1988 reduced to 51,363.5 ha in 2018, decreasing by 19,729.8 ha. The recovery speed of mangroves is 2 times lower than their disappearance speed. Specifically, from 1988 to 2018, mangroves disappeared on an area of 42,534.9 hectares and appeared on the new area of 22,805 hectares, only 12,154.5 hectares of mangroves remained unchanged. The fluctuation of mangrove area in Ca Mau province is related to the process of deforestation to dig shrimp ponds, coastal erosion, the formation of mangroves on new coastal alluvial lands and soil dunes in estuaries, as well as planting new mangroves in inefficient shrimp ponds.

scholarly journals ESTIMASI PRODUKSI PADI DENGAN ANALISIS CITRA SATELIT LANDSAT 8 DI KABUPATEN KLUNGKUNG PROVINSI BALI

2018 ◽  
Vol 12 (1) ◽  
pp. 93
Author(s):  
Made Arya Bhaskara Putra ◽  
I Wayan Nuarsa ◽  
I Wayan Sandi Adnyana
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Satellite Image ◽  
Image Data ◽  
Research Area ◽  
Rice Production ◽  
Landsat 8 ◽  
Estimation Model ◽  
Accuracy Test ◽  
Accuracy Level

Rice crop is one of the important commodities that must always be available, so estimation of rice production becomes very important to do before harvesting time to know the food availability. The technology that can be used is remote sensing technology using Landsat 8 Satellite. The aims of this study were (1) to obtain the model of estimation of rice production with Landsat 8 image analysis, and (2) to know the accuracy of the model that obtained by Landsat 8. The research area is located in three sub-districts in Klungkung regency. Analysis in this research was conducted by single band analysis and analysis of vegetation index of satellite image of Landsat 8. Estimation model of rice production was developed by finding the relationship between satellite image data and rice production data. The final stage is the accuracy test of the rice production estimation model, with t test and regression analysis. The results showed: (1) estimation of rice production can be calculated between 67 to 77 days after planting; (2) there was a positive correlation between NDVI (Normalized Difference Vegetation Index) vegetation index value with rice yield; (3) the model of rice production estimation is y = 2.0442e1.8787x (x is NDVI value of Landsat 8 and y is rice production); (4) The results of the model accuracy test showed that the obtained model is suitable to predict rice production with accuracy level is 89.29% and standard error of production estimation is + 0.443 ton/ha. Based on research results, it can be concluded that Landsat 8 Satellite image can be used to estimate rice production and the accuracy level is 89.29%. The results are expected to be a reference in estimating rice production in Klungkung Regency.

Automated Analysis of SEM X-Ray Spectral Images: A Powerful New Microanalysis Tool

2003 ◽  
Vol 9 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Paul G. Kotula ◽  
Michael R. Keenan ◽  
Joseph R. Michael
Keyword(s):  
Image Data ◽  
Large Data ◽  
Automated Analysis ◽  
Phase Identification ◽  
Data Sets ◽  
Multivariate Statistical ◽  
X Ray ◽  
Analysis Technique ◽  
Statistical Analysis Technique ◽  
Multi Phase

Spectral imaging in the scanning electron microscope (SEM) equipped with an energy-dispersive X-ray (EDX) analyzer has the potential to be a powerful tool for chemical phase identification, but the large data sets have, in the past, proved too large to efficiently analyze. In the present work, we describe the application of a new automated, unbiased, multivariate statistical analysis technique to very large X-ray spectral image data sets. The method, based in part on principal components analysis, returns physically accurate (all positive) component spectra and images in a few minutes on a standard personal computer. The efficacy of the technique for microanalysis is illustrated by the analysis of complex multi-phase materials, particulates, a diffusion couple, and a single-pixel-detection problem.

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