Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat最新文献

Design and Construction of an Internet of Things Based Electrical Power Usage Monitoring System 基于物联网的电力使用监控系统的设计与构建

Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Pub Date : 2024-03-23 DOI: 10.20527/flux.v21i1.15366

Abdul Hakim Prima Yuniarto, Elvinda Bendra Agustina, Inayatul Inayah, Nur Rohman, Mufidah Rizqiyah

引用次数: 0

Identification of Pneumonia on Thorax X-Ray Image Using the Convolutional Neural Network Method Model VGG16 使用卷积神经网络方法模型 VGG16 识别胸部 X 光图像上的肺炎病症

Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Pub Date : 2024-03-22 DOI: 10.20527/flux.v21i1.15595

Meita Ananda Pramesti, Yudha Arman, .. Hasanuddin

引用次数: 0

Photometric Observations of Short Period Variable Stars: EH Librae 短周期变星的光度观测：天秤座 EH

Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Pub Date : 2024-03-20 DOI: 10.20527/flux.v21i1.17865

Sulthan Julieri Djumari, H. L. Malasan, Ridlo Wahyudi Wibowo, Alka Budi Wahidin

引用次数: 0

Analysis of Bio-Coke Proximate from Sago Drugs and Patchange Waste 从西米药物和配料废弃物中提取的生物焦近似物分析

Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Pub Date : 2024-03-07 DOI: 10.20527/flux.v21i1.12661

L. Isa, L. Asmin, Dedyerianto Dedyerianto

引用次数: 0

Analysis of a Cylinder Size Effect on the Fluid Flow Profile Around the Cylinder with OpenFOAM 利用 OpenFOAM 分析气缸尺寸对气缸周围流体流动曲线的影响

Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Pub Date : 2024-02-29 DOI: 10.20527/flux.v21i1.16555

Kania Nugraha Putri, Rida SN Mahmudah

引用次数: 0

Profile of Rainfall Patterns and Extreme Air Temperatures 1981-2020 in the Mosunal Region of Indonesia (Case Study: South Sumatra) 印度尼西亚摩苏纳地区 1981-2020 年降雨模式和极端气温概况（案例研究：南苏门答腊岛）

Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Pub Date : 2024-02-29 DOI: 10.20527/flux.v21i1.14022

Melly Ariska, Supari Supari, Muhammad Irfan, Iskhaq Iskandar

{"title":"Profile of Rainfall Patterns and Extreme Air Temperatures 1981-2020 in the Mosunal Region of Indonesia (Case Study: South Sumatra)","authors":"Melly Ariska, Supari Supari, Muhammad Irfan, Iskhaq Iskandar","doi":"10.20527/flux.v21i1.14022","DOIUrl":"https://doi.org/10.20527/flux.v21i1.14022","url":null,"abstract":"Increasing concentrations of greenhouse gases have led to changes in extreme climate events. This study aims to describe the picture of climate change in the South Sumatra Region during the last 40 years, namely from 1981-2020. Rainfall and extreme temperature data were obtained from BMKG data for South Sumatra Province at the Palembang City Climatology Station (SK Palembang City) and the Sultan Mahmud Badaruddin II Meteorological Station (SM SMB II). Maximum temperature data, minimum temperature and rainfall were obtained based on parameter profiles obtained from BMKG data for South Sumatra Province based on the ETCCDMI provisions. Maximum temperature data, minimum temperature and rainfall are processed with RClimDex software so that temperature and extreme rain index data are obtained. These indices are extreme climate indices consisting of TN90p, TX90p, TNn, TNx,TXx, TXx, TMAXmean, TMINmean, RX1day, RX5day, SDII, CDD and CWD. The results of this study indicate that the trend of air temperature will increase significantly in South Sumatra Province, especially the minimum air temperature, then the precipitation pattern will also increase, especially the accumulation of rainfall for 5 consecutive days. There is an increase in the number of dry days and a decrease in the number of wet days, as well as the higher accumulation of daily rainfall but the wet days are decreasing day by day. This is also increasingly having an impact on climate change in South Sumatra Province which is getting hotter day by day and the smoke disaster due to land and peat fires in South Sumatra Province is increasingly worrying.","PeriodicalId":511747,"journal":{"name":"Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat","volume":"2010 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140416536","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

Temporal-Spatial Variations Analysis of Surface Temperature in Kalimantan Region for The Period of 2010 - 2020 2010-2020 年加里曼丹地区地表温度的时空变化分析

Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Pub Date : 2024-02-29 DOI: 10.20527/flux.v21i1.17507

Rahmawati Fitrianingtyas, Indriati Retno Palupi

{"title":"Temporal-Spatial Variations Analysis of Surface Temperature in Kalimantan Region for The Period of 2010 - 2020","authors":"Rahmawati Fitrianingtyas, Indriati Retno Palupi","doi":"10.20527/flux.v21i1.17507","DOIUrl":"https://doi.org/10.20527/flux.v21i1.17507","url":null,"abstract":"Surface temperature information is important to study because it affects other climate parameters and has an impact on various sectors. This study aims to analyze the temporal and spatial variations of maximum surface temperature on Kalimantan Region during the period 2010 to 2020. The data used is Surface Maximum Temperature (SMT) in the form of a 0.5o x 0.5o grid from the Climate Prediction Center (CPC) NOAA PCL. The results of the temporal analysis showed that the highest monthly SMT values occurred in May (32.00o C) and September (31.75o C). While the lowest monthly SMT values were found in January (30.88o C) and July (31.40o C). The results of the annual SMT trend analysis show that the surface temperature in the Kalimantan Region has increased at an average rate of 0.03°C per year. This value is higher than the increase in global surface temperature (~0.02°C per year). Based on the results of spatial analysis, it was known that the distribution of SMT on Kalimantan Region tends to be stable in the range of 25o C to 35o C throughout the year. Spatial analysis of SMT in 2011 showed that low values (25o - 31o C) dominated South Kalimantan Province , while high values (33°C - 35°C) dominated West Kalimantan Province. The results of the 2019 SMT spatial analysis revealed a similar pattern to 2011. However, there was a significant increase in temperature compared to 2011, especially in the high SMT values observed in West Kalimantan and East Kalimantan Provinces.","PeriodicalId":511747,"journal":{"name":"Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat","volume":"84 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140411299","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

An Internet of Things (IoT)-based Microclimate Parameter Measurement Tool (Temperature, Humidity, and Sunlight Intensity) for Coastal Areas 基于物联网（IoT）的沿海地区小气候参数（温度、湿度和日照强度）测量工具

Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Pub Date : 2024-02-29 DOI: 10.20527/flux.v21i1.17929

Ahmad Zarkasi, Kholis Nurhanafi, Syahrir Syahrir

引用次数: 0

Analysis of Soil Vulnerability Level Due to Earthquake in Tarutung Region and Its Surroundings Using Probabilistic Seismic Hazard Analysis Method 使用概率地震危害分析方法分析塔鲁东地区及其周边地区地震导致的土壤脆弱性水平

Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Pub Date : 2024-02-26 DOI: 10.20527/flux.v21i1.17157

Nindya Mirandani Pratiwi, L. H. Lubis, Ratni Sirait, Reinhard Sipayung Sipayung

引用次数: 0

Improving the Quality of CT Images of Stroke Patients Using the SSDE and K-Means Segmentation in the Radiology Installation of RSUD A.W. Sjahranie Samarinda 使用 SSDE 和 K-Means 分段法提高 Samarinda A.W. Sjahranie RSUD 放射科装置中脑卒中患者 CT 图像的质量

Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Pub Date : 2024-02-19 DOI: 10.20527/flux.v21i1.17100

E. R. Putri, Fransiska Lipa Payon, Ronel Arida Missinychrista, Devina Rayzy Perwitasari Sutaji Putri, Pratiwi Sri Wardani, Kadek Subagiada

{"title":"Improving the Quality of CT Images of Stroke Patients Using the SSDE and K-Means Segmentation in the Radiology Installation of RSUD A.W. Sjahranie Samarinda","authors":"E. R. Putri, Fransiska Lipa Payon, Ronel Arida Missinychrista, Devina Rayzy Perwitasari Sutaji Putri, Pratiwi Sri Wardani, Kadek Subagiada","doi":"10.20527/flux.v21i1.17100","DOIUrl":"https://doi.org/10.20527/flux.v21i1.17100","url":null,"abstract":"Stroke examination using a CT scan is a technique that produces 3D brain images without having to do surgery. The purpose of this study was to determine the dose received by each patient who underwent a CT-scan procedure and to improve the image quality of the results. Optimization of the dose for each patient is based on a comparison between the calculated SSDE value and the DRL in the form of CTDIvol and DLP, which are implemented in Indonesia. Improving the quality of CT-Scan images through digital processing using the segmentation method to determine the stroke area. The method used is K-Means segmentation. The results obtained for the SSDE value are the dose received by the patient which is higher than the dose issued by the device or the value. However, the SSDE, CTDIvol, and DLP values are still below the DRL standard range set by BAPETEN, so they are still within the safe inspection threshold. The average CTDIvol value, which is the output dose value of the device from 22 patients, was 41.84 mGy and the 75th percentile value was 42.7 mGy. The average DLP value is 1054.08 mGy.cm and the 75th percentile value of the DLP value is 964.13 mGy.cm. The average value of the SSDE value which is the value of the dose received by the patient is 43.39 mGy and the 75th percentile value is 42.440 mGy. Based on these results, the value of the dose received by the patient is higher than the value of the dose issued by the device. Segmentation using the K-Means method with the number of clusters k = 3 produces an accuracy of 86.3%. This means that the patient receives a dose of CT-Scan radiation within safe limits and his image can be processed properly, as evidenced by the high success of the segmentation process.","PeriodicalId":511747,"journal":{"name":"Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat","volume":"29 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140450233","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