Buletin Fisika最新文献_第7页

Analisis Analisis Pengaruh Slice Thickness Terhadap Kualitas Citra Pesawat CT Scan Di RSUD Bali Mandara 分析了在巴厘岛曼德拉省CT飞机质量扫描中的Thickness对CT图像的影响

Buletin Fisika Pub Date : 2021-01-08 DOI: 10.24843/bf.2021.v22.i02.p04

Ida Ayu Putu Aristia Hutami, G. N. Sutapa, I. B. A. Paramarta

引用次数: 2

Comparison and Analysis of Rainfall Spatial Patterns IMERG (Integrated Multi-Satellite Retrievals for GPM) Data and Observation Data on Bali Province 巴厘省降雨空间格局IMERG（GPM综合多星反演）数据与观测数据的比较分析

Buletin Fisika Pub Date : 2020-11-28 DOI: 10.24843/bf.2021.v22.i02.p03

Desy Yunita Samosir, I. M. Yuliara, R. Prasetia

{"title":"Comparison and Analysis of Rainfall Spatial Patterns IMERG (Integrated Multi-Satellite Retrievals for GPM) Data and Observation Data on Bali Province","authors":"Desy Yunita Samosir, I. M. Yuliara, R. Prasetia","doi":"10.24843/bf.2021.v22.i02.p03","DOIUrl":"https://doi.org/10.24843/bf.2021.v22.i02.p03","url":null,"abstract":"Limitations of observational data such as insufficient data length, incomplete, and uneven station distribution make it difficult to analyze and predict rain, so it requires supporting instruments such as satellites to provide a better and broader picture of rainfall distribution. However, it is necessary to test the accuracy of satellite data because the resolution and conditions of each region are different. This research aims to validate IMERG rain data against observation data in the 2015 El Nino period using observation rainfall data from BMKG Negara and IMERG data from GPM satellite at 12 rain points in Bali Province. The analytical method used is quantitative statistics, the calculation of errors and correlations and the comparison of the spatial pattern of the two data. The results of the analysis of the spatial pattern of the IMERG data show that, there was a decrease in rainfall from May to July, but the rainfall increased into August, and again experienced a decline entering the months of September to December where the same pattern was also shown from the results of the spatial pattern analysis on the Observation data. The decrease in rainfall in the May-December 2015 period was a strong El Nino effect as evidenced by the results of the correlation analysis of the SOI index on rainfall which showed a fairly strong correlation value, namely 0.55.The validation of IMERG data on monthly observation data showed that the average correlation was sufficient strong is 0.42 and analysis per rain post shows a weak correlation namely 0.31, which means that data IMERG is not yet accurate as an alternative to the observation rainfall data in Bali Province.","PeriodicalId":32375,"journal":{"name":"Buletin Fisika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49606851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identifikasi Bilangan Gelombang Daun Sirih (Piper sp.) Menggunakan Metode Spektroskopi Fourier Transform Infrared (FTIR) dan Principal Component Analysis (PCA) 傅里叶变换红外光谱（FTIR）和主成分分析（PCA）光谱法识别序列片波数（Piper sp.）

Buletin Fisika Pub Date : 2020-11-07 DOI: 10.24843/bf.2021.v22.i02.p02

Ayu Anisa Damayanti, Ni Luh Putu Trisnawati, Hery Suyanto

引用次数: 3

Effective Dose Analysis on Computer Tomography (CT) Head Scan at Gianyar Sanjiwani Hospital Gianyar Sanjiwani医院CT头部扫描的有效剂量分析

Buletin Fisika Pub Date : 2020-10-25 DOI: 10.24843/bf.2021.v22.i02.p01

Putu Gede Agus Krisna Yogantara, G. N. Sutapa, I. M. Yuliara

引用次数: 1

THE MINERAL OXIDE CONTENTS OF THE TEGAL LENGA BEACH IRON SAND TEGAL LENGA海滩铁砂的矿物氧化物含量

Buletin Fisika Pub Date : 2019-11-10 DOI: 10.24843/bf.2019.v20.i02.p05

P. Suardana, I. Manuaba, N. Wendri

引用次数: 0

Characterization of Salacca Zalacca for Dye Sensitized Solar Cell (DSSC) 用于染料敏化太阳能电池（DSSC）的紫胶的表征

Buletin Fisika Pub Date : 2019-11-09 DOI: 10.24843/bf.2019.v20.i02.p04

N. Wendri, Putu Ekayani Sri Tussniari, H. Suyanto

引用次数: 2

The Classification of Primitive-Shaped Patterns by Using Principal Component Analysis Method 用主成分分析法对原始形状图案进行分类

Buletin Fisika Pub Date : 2019-09-05 DOI: 10.24843/bf.2019.v20.i02.p03

I. Widagda, H. Suyanto

{"title":"The Classification of Primitive-Shaped Patterns by Using Principal Component Analysis Method","authors":"I. Widagda, H. Suyanto","doi":"10.24843/bf.2019.v20.i02.p03","DOIUrl":"https://doi.org/10.24843/bf.2019.v20.i02.p03","url":null,"abstract":"Abstrak – The recognition or classification of patterns is a major problem in computer vision. Many methods have been applied such as: moment invariant, Artificial Neural Networks (ANN), K-mean, Support Vector Machine (SVM) and others. These methods have a few limitations. The moment invariant fashion is highly vulnerable to noise. ANN methods require a long computing time (especially multi-layer ANN) during the training process. On the other hand, the dimensions of the features generated from the methods are relatively high, which requires large storage space (memory). In addition, this leads to the long computing time when the testing process is carried out. Based on these facts, this research makes use of methods that being able to reduce the feature dimensions, namely the Principal Component Analysis (PCA). In the PCA method the dimensions of the sample image are converted to principal components (face space), whose dimensions are much smaller than the dimensions of the sample image itself. Our works exhibit that the PCA method is highly effective in carrying out the pattern classification process. This can be indicated by the relatively high values of Predictive Accuracy, Precision and Recall (close to 1) while the FP Rate is low (close to 0). Moreover, the location of the point coordinates (FP Rate, TP Rate) in ROC graphs is fallen in the upper left region (approaching the perfect classifier region).","PeriodicalId":32375,"journal":{"name":"Buletin Fisika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.24843/bf.2019.v20.i02.p03","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46695178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Correlation of Southern Oscillation Index (SOI) with the Rainfall at Rainy and Dry Season Peak in Kintamani-Bangli Region period 1986-2015 1986-2015年金塔马尼—邦里地区干雨季高峰降水与南方涛动指数的相关性

Buletin Fisika Pub Date : 2019-09-01 DOI: 10.24843/bf.2019.v20.i02.p02

Wayan Mita Restitiasih, I. K. Sukarasa, I. Yuda

{"title":"The Correlation of Southern Oscillation Index (SOI) with the Rainfall at Rainy and Dry Season Peak in Kintamani-Bangli Region period 1986-2015","authors":"Wayan Mita Restitiasih, I. K. Sukarasa, I. Yuda","doi":"10.24843/bf.2019.v20.i02.p02","DOIUrl":"https://doi.org/10.24843/bf.2019.v20.i02.p02","url":null,"abstract":"A correlation study of the Southern Oscillation Index (SOI) on rainfall at the peak of the wet and dry season in the Kintamani-Bangli region has been carried out by taking SOI values and rainfall data for the period 1986-2015. The rainfall data used were recorded at 2 rain posts, namely Kembangsari and Kintamani. The research aimed to determine the relationship of fluctuations in the value of SOI with the intensity of rainfall, so that it can be used as a regional management plan when El Nino occurs. The method used in this study is correlation. The results obtained from the correlation that is the relationship between SOI value and rainfall in February were quite strong in the Kembangsari post with correlation coefficient of 0.409. Whereas for the Kintamani post the correlation obtained was weak with a correlation coefficient of 0.308. Then in August a weak correlation occurred in the Kembangsari post with a correlation coefficient of 0.2398 and was quite strong in the Kintamani post with a correlation coefficient of 0.4662. So that the influence of El Nino in the Kintamani area in February was more dominant in the Kembangsari post and in August at the Kintamani post.","PeriodicalId":32375,"journal":{"name":"Buletin Fisika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.24843/bf.2019.v20.i02.p02","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44724609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Conductance and Swelling of Composite Membrane ‘Chitosan-Silver Nanoparticles’ in Monovalent Salt Solution ‘KCl and NaCl’ 壳聚糖-银纳米粒子复合膜在KCl和NaCl一价盐溶液中的导电性和溶胀性

Buletin Fisika Pub Date : 2019-09-01 DOI: 10.24843/bf.2019.v20.i02.p01

Ni Wayan Eri Sandriani, N. N. Rupiasih, M. Sumadiyasa

引用次数: 1

Estimation of Run Up and Arrival Time of Tsunami in Bali Region Based on TOAST Simulation 基于TOAST模拟的巴厘岛海啸爆发和到达时间估计

Buletin Fisika Pub Date : 2019-05-03 DOI: 10.24843/bf.2019.v20.i01.p06

Anak Agung Diah Satria Purnama, I. Paramarta, Muh. Soekarno Saputra Rahman

引用次数: 0