ABSTRAK- Telah berhasil dibuat sistem pakar fuzzy Metode Sugeno untuk mendeteksi penyakit diabetes mellitus atau tidak. Tujuan dibuatnya sistem pakar ini untuk membantu membuat suatu keputusan dengan cepat dalam mendiagnosa penyakit diabetes mellitus.Variabel 7 inputan pada himpunan fuzzy berasal dari Laboratorium RSUD Jombang yaitu tekanan darah sistol, tekanan darah diastol, glukosa sewaktu, kolestrol total, kadar HDL, kadar LDL, dan trigliserida. Sedangkan variabel output untuk mendiagnosa penyakit diabetes mellitus meliputi normal, pre diabetes, dan diabetes. Hasil dari pengujian dengan rule 129 dan tingkat keakuratan sistem ini sebesar 68%. ABSTRACT − A fuzzy expert system using the Sugeno method has been successfully created in diagnosing diabetes mellitus or not. The purpose of this expert system is to help make a decision quickly in diagnosing diabetes mellitus. The 7 input variables in the fuzzy set come from the Jombang Regional Hospital laboratory, namely systolic blood pressure, diastolic blood pressure, temporary glucose, total cholesterol, HDL levels, LDL levels, and triglycerides. While the output variables for diagnosing diabetes mellitus include normal, pre diabetes, and diabetes. The results of testing with rule 129 and the level of accuracy of this system is 68%.
{"title":"Sistem Pakar Fuzzy dengan Metode Sugeno Untuk Diagnosa Penyakit Diabetes Mellitus","authors":"Humaidillah Kurniadi Wardana, Imamatul Ummah, Lina Arifah Fitriyah","doi":"10.20527/flux.v19i2.9607","DOIUrl":"https://doi.org/10.20527/flux.v19i2.9607","url":null,"abstract":"ABSTRAK- Telah berhasil dibuat sistem pakar fuzzy Metode Sugeno untuk mendeteksi penyakit diabetes mellitus atau tidak. Tujuan dibuatnya sistem pakar ini untuk membantu membuat suatu keputusan dengan cepat dalam mendiagnosa penyakit diabetes mellitus.Variabel 7 inputan pada himpunan fuzzy berasal dari Laboratorium RSUD Jombang yaitu tekanan darah sistol, tekanan darah diastol, glukosa sewaktu, kolestrol total, kadar HDL, kadar LDL, dan trigliserida. Sedangkan variabel output untuk mendiagnosa penyakit diabetes mellitus meliputi normal, pre diabetes, dan diabetes. Hasil dari pengujian dengan rule 129 dan tingkat keakuratan sistem ini sebesar 68%. ABSTRACT − A fuzzy expert system using the Sugeno method has been successfully created in diagnosing diabetes mellitus or not. The purpose of this expert system is to help make a decision quickly in diagnosing diabetes mellitus. The 7 input variables in the fuzzy set come from the Jombang Regional Hospital laboratory, namely systolic blood pressure, diastolic blood pressure, temporary glucose, total cholesterol, HDL levels, LDL levels, and triglycerides. While the output variables for diagnosing diabetes mellitus include normal, pre diabetes, and diabetes. The results of testing with rule 129 and the level of accuracy of this system is 68%.","PeriodicalId":52720,"journal":{"name":"JIF Jurnal Ilmu Fisika","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89351590","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}
Pub Date : 2022-06-27DOI: 10.20527/flux.v19i2.11445
Sutiarno Sutiarno, Mega Muryani, Adi Sucipto, R. Rahmawati, Fegiliani Fegiliani, A. Riyanto
Pembuatan biofoam sebagai pengganti styrofoam terus dikembangkan untuk mendapatkan kemasan makanan yang sehat, aman, dan murah bagi masyarakat. Penelitian ini dilakukan untuk melihat pengaruh pelapisan bioplastik glukomanan dari tepung porang yang divariasikan konsentrasi senyawa flavonoid kulit nanas terhadap gugus fungsi dan sifat antibakteri pada biofoam. Bahan biofoam dalam penelitian ini terdiri dari bahan baku utama dan bahan aditif. Bahan baku utama yang digunakan dalam penelitian ini adalah pati kulit pisang dan selulosa dari serat kulit durian. Kemudian, bahan aditif yang digunakan yaitu tepung porang, polimer CMC, dan flavonoid dari kulit nanas. Bahan baku utama dicampur dan diikat oleh polimer pengikat berupa CMC. Campuran dicetak dengan metode thermopressing dengan suhu 170 oC dalam waktu 3 menit. Biofoam hasil cetakan dilapisi bioplastik glukomanan dari tepung porang yang telah divariasikan konsentrasi senyawa flavonoid (1.250, 2.500, 5.000, 10.000) ppm. Metode pelapisan yang digunakan adalah teknik tuang dan dikeringkan pada suhu 80 OC selama 12 jam. Berdasarkan hasil pengujian, daya serap air biofoam berhasil diturunkan dari 55% menjadi 7,8%, 8%, 12%, dan 9%. Hidrofobisitas tersebut diduga berasal dari bioplastik tepung porang sebagai plastizer. Kemudian, hasil uji aktivitivitas antibakteri pada bakteri Bacillus sp dan Escherichia coli terdapat aktivitas zona hambat pada variasi konsentrasi flavonoid 10.000 ppm berturut-turut 8 mm dan 3,34 mm. Semakin tinggi konsentrasi senyawa flavonoid dalam sampel biofoam, terjadi pergeseran gugus fungsi O-H, C-H aromatik alifatik C=C, C=O, dan C-O. Peningkatan konsentrasi flavonoid hanya mempengaruhi sifat antibakteri tetapi tidak mempengaruhi nilai penyerapan air, karena nilainya cenderung tetap
生物泡沫塑料的生产不断被开发出来，以获得健康、安全、廉价的食品包装。这项研究的目的是观察菠萝皮中改变类黄酮化合物浓度的聚合对生物泡沫的作用和抗菌特性的影响。这项研究的生物泡沫材料是主要的原料和添加剂。这项研究使用的主要原料是香蕉皮和榴莲皮革纤维的纤维素。然后，用于添加剂的是porang淀粉、CMC聚合物和菠萝皮的类黄酮。主原料被CMC的聚合物混合并结合。混合物在3分钟内用热加压法绘制，温度为170摄氏度。从porang淀粉中合成的类黄酮化合物浓度(1,250、2500、5000、1万)中改变的聚合。使用的涂料方法是在80摄氏度下进行和干燥12个小时。根据测试结果，生物泡沫水的吸收能力从55%下降到7.8%、8%、12%和9%。这种水化被认为是由porang生物塑料面粉作为可塑剂制成的。然后，sp杆菌和Escherichia大肠杆菌抗菌抗菌的抗菌活性测试发现，在连续8毫米和3.34毫米的类黄酮浓度变异中存在抑制区活动。生物泡沫样本中类黄酮的浓度越高，C- h - h alifatic C=C, C=O和C-O的功能簇发生了变化。提高类黄酮的浓度只会影响抗菌的性质，但不会影响水的吸收价值，因为它的价值往往是固定的
{"title":"Pengaruh Penambahan Tepung Umbi Porang dan Variasi Konsentrasi Flavonoid Kulit Nanas dalam Pembuatan Biofoam","authors":"Sutiarno Sutiarno, Mega Muryani, Adi Sucipto, R. Rahmawati, Fegiliani Fegiliani, A. Riyanto","doi":"10.20527/flux.v19i2.11445","DOIUrl":"https://doi.org/10.20527/flux.v19i2.11445","url":null,"abstract":"Pembuatan biofoam sebagai pengganti styrofoam terus dikembangkan untuk mendapatkan kemasan makanan yang sehat, aman, dan murah bagi masyarakat. Penelitian ini dilakukan untuk melihat pengaruh pelapisan bioplastik glukomanan dari tepung porang yang divariasikan konsentrasi senyawa flavonoid kulit nanas terhadap gugus fungsi dan sifat antibakteri pada biofoam. Bahan biofoam dalam penelitian ini terdiri dari bahan baku utama dan bahan aditif. Bahan baku utama yang digunakan dalam penelitian ini adalah pati kulit pisang dan selulosa dari serat kulit durian. Kemudian, bahan aditif yang digunakan yaitu tepung porang, polimer CMC, dan flavonoid dari kulit nanas. Bahan baku utama dicampur dan diikat oleh polimer pengikat berupa CMC. Campuran dicetak dengan metode thermopressing dengan suhu 170 oC dalam waktu 3 menit. Biofoam hasil cetakan dilapisi bioplastik glukomanan dari tepung porang yang telah divariasikan konsentrasi senyawa flavonoid (1.250, 2.500, 5.000, 10.000) ppm. Metode pelapisan yang digunakan adalah teknik tuang dan dikeringkan pada suhu 80 OC selama 12 jam. Berdasarkan hasil pengujian, daya serap air biofoam berhasil diturunkan dari 55% menjadi 7,8%, 8%, 12%, dan 9%. Hidrofobisitas tersebut diduga berasal dari bioplastik tepung porang sebagai plastizer. Kemudian, hasil uji aktivitivitas antibakteri pada bakteri Bacillus sp dan Escherichia coli terdapat aktivitas zona hambat pada variasi konsentrasi flavonoid 10.000 ppm berturut-turut 8 mm dan 3,34 mm. Semakin tinggi konsentrasi senyawa flavonoid dalam sampel biofoam, terjadi pergeseran gugus fungsi O-H, C-H aromatik alifatik C=C, C=O, dan C-O. Peningkatan konsentrasi flavonoid hanya mempengaruhi sifat antibakteri tetapi tidak mempengaruhi nilai penyerapan air, karena nilainya cenderung tetap","PeriodicalId":52720,"journal":{"name":"JIF Jurnal Ilmu Fisika","volume":"73 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89456866","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}
Pub Date : 2022-06-27DOI: 10.20527/flux.v19i2.12153
R. Hanifah, Nurul Atikah, M. Anwari, M. Naqiyyun, A. Riana, D. Hardiansyah
ABSTRAK- Seleksi model merupakan aspek penting dari analisis data farmakokinetik. Seleksi model dilakukan untuk memperoleh fungsi terbaik yang selanjutnya digunakan dalam perhitungan nilai TIACs pada dosimetri individu. Data yang digunakan pada penelitian ini berupa data biodistribusi radiofarmaka 177 Lu-DOTATATE pada organ ginjal dari 8 pasien PRRT. Setiap data pasien difitting dengan menggunakan beberapa fungsi. Pada setiap fungsi yang diterapkan, dilakukan analisa goodness of fit . Pada setiap fungsi yang memenuhi kriteria goodness of fit dilakukan perhitungan nilai AICc dan nilai pembobotan AICc. Fungsi dengan nilai pembobotan AICc terbesar dipilih menjadi fungsi terbaik. Berdasarkan proses seleksi model yang dilakukan, fungsi 𝑓 2𝑎,1𝑒𝑥 (𝑡) = 𝐴 1 𝑒 ABSTRACT − Model selection is an essential aspect of pharmacokinetic data analysis. Model selection is carried out to obtain the best function, which is then used in calculating TIACs values on individual dosimetry. The data used in this study were the bio-distribution data of radiopharmaceutical 177 Lu-DOTATATE in the kidneys of 8 PRRT patients. Each patient data was fitted using several functions. A goodness of fit analysis was carried out for each function. For each function that meets the goodness of fit criteria, the AICc value and AICc weighting value were calculated. The function with the most significant AICc weighting value was selected. Based on the model selection process, the function 𝑓 2𝑎,1𝑒𝑥 (𝑡) = 𝐴 1 𝑒 −(𝜆 1 +𝜆 𝑝ℎ𝑦𝑠 )𝑡 were best for patients 1,3,4,5,6, and 7. Meanwhile, function 𝑓 2𝑏,2𝑒𝑥 (𝑡) = 𝐴 1 𝑒 −(𝜆 1 +𝜆 𝑝ℎ𝑦𝑠 )𝑡 + (100 − 𝐴 1 ) 𝑒 −(𝜆 𝑝ℎ𝑦𝑠 )𝑡 became the best models for patients 2, and functions 𝑓 1𝑎,1𝑒𝑥 (𝑡) = 𝐴 1 𝑒 −(𝜆 𝑝ℎ𝑦𝑠 )𝑡 became the best models for patient 8.
{"title":"Seleksi Model pada Peptide-receptor Radionuclide Therapy dengan 177Lu-DOTATATE untuk Dosimetri Ginjal","authors":"R. Hanifah, Nurul Atikah, M. Anwari, M. Naqiyyun, A. Riana, D. Hardiansyah","doi":"10.20527/flux.v19i2.12153","DOIUrl":"https://doi.org/10.20527/flux.v19i2.12153","url":null,"abstract":"ABSTRAK- Seleksi model merupakan aspek penting dari analisis data farmakokinetik. Seleksi model dilakukan untuk memperoleh fungsi terbaik yang selanjutnya digunakan dalam perhitungan nilai TIACs pada dosimetri individu. Data yang digunakan pada penelitian ini berupa data biodistribusi radiofarmaka 177 Lu-DOTATATE pada organ ginjal dari 8 pasien PRRT. Setiap data pasien difitting dengan menggunakan beberapa fungsi. Pada setiap fungsi yang diterapkan, dilakukan analisa goodness of fit . Pada setiap fungsi yang memenuhi kriteria goodness of fit dilakukan perhitungan nilai AICc dan nilai pembobotan AICc. Fungsi dengan nilai pembobotan AICc terbesar dipilih menjadi fungsi terbaik. Berdasarkan proses seleksi model yang dilakukan, fungsi 𝑓 2𝑎,1𝑒𝑥 (𝑡) = 𝐴 1 𝑒 ABSTRACT − Model selection is an essential aspect of pharmacokinetic data analysis. Model selection is carried out to obtain the best function, which is then used in calculating TIACs values on individual dosimetry. The data used in this study were the bio-distribution data of radiopharmaceutical 177 Lu-DOTATATE in the kidneys of 8 PRRT patients. Each patient data was fitted using several functions. A goodness of fit analysis was carried out for each function. For each function that meets the goodness of fit criteria, the AICc value and AICc weighting value were calculated. The function with the most significant AICc weighting value was selected. Based on the model selection process, the function 𝑓 2𝑎,1𝑒𝑥 (𝑡) = 𝐴 1 𝑒 −(𝜆 1 +𝜆 𝑝ℎ𝑦𝑠 )𝑡 were best for patients 1,3,4,5,6, and 7. Meanwhile, function 𝑓 2𝑏,2𝑒𝑥 (𝑡) = 𝐴 1 𝑒 −(𝜆 1 +𝜆 𝑝ℎ𝑦𝑠 )𝑡 + (100 − 𝐴 1 ) 𝑒 −(𝜆 𝑝ℎ𝑦𝑠 )𝑡 became the best models for patients 2, and functions 𝑓 1𝑎,1𝑒𝑥 (𝑡) = 𝐴 1 𝑒 −(𝜆 𝑝ℎ𝑦𝑠 )𝑡 became the best models for patient 8.","PeriodicalId":52720,"journal":{"name":"JIF Jurnal Ilmu Fisika","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82711931","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}
Pub Date : 2022-06-20DOI: 10.25077/jif.14.2.73-85.2022
F. Monica, Vira Friska, D. Arisa, Marzuki Marzuki
This study compares the deformation in West Sumatra due to the earthquakes in the subduction zone and the Sumatran Fault. The Mw6.0 Mentawai earthquake 2019 with a thrust fault mechanism and the Mw5.4 South Solok earthquake 2019 with a strike-slip fault mechanism were used as case studies for the subduction zone and Sumatran Fault, respectively. The deformation was observed using 12 SuGAr (Sumatra GPS Array) and 8 InaCORS (Indonesian Continuously Operating Reference Station) stations, which were processed using GAMIT/GLOBK software. There are differences in the deformation vectors of the two earthquakes. The Mentawai earthquake experienced larger energy accumulation than the South Solok earthquake. The coseismic phase of the Mentawai earthquake experienced the largest horizontal shift at the SLBU station, which was 15.48 mm in the direction of S29.96W, while the South Solok earthquake is found to horizontally shift the CSDH station at the size of 5.75 mm towards S11.45E. The postseismic phase of the Mentawai earthquake lasted 60 days, longer than the South Solok earthquake (20 days). The difference in deformation characteristic between these two earthquakes found in this study will be valuable information in modeling earthquakes in Sumatra.
{"title":"Comparison of Deformation Vectors Due to Earthquake in Subduction Zone and Sumatran Fault for Each Phase of Earthquake Cycle","authors":"F. Monica, Vira Friska, D. Arisa, Marzuki Marzuki","doi":"10.25077/jif.14.2.73-85.2022","DOIUrl":"https://doi.org/10.25077/jif.14.2.73-85.2022","url":null,"abstract":"This study compares the deformation in West Sumatra due to the earthquakes in the subduction zone and the Sumatran Fault. The Mw6.0 Mentawai earthquake 2019 with a thrust fault mechanism and the Mw5.4 South Solok earthquake 2019 with a strike-slip fault mechanism were used as case studies for the subduction zone and Sumatran Fault, respectively. The deformation was observed using 12 SuGAr (Sumatra GPS Array) and 8 InaCORS (Indonesian Continuously Operating Reference Station) stations, which were processed using GAMIT/GLOBK software. There are differences in the deformation vectors of the two earthquakes. The Mentawai earthquake experienced larger energy accumulation than the South Solok earthquake. The coseismic phase of the Mentawai earthquake experienced the largest horizontal shift at the SLBU station, which was 15.48 mm in the direction of S29.96W, while the South Solok earthquake is found to horizontally shift the CSDH station at the size of 5.75 mm towards S11.45E. The postseismic phase of the Mentawai earthquake lasted 60 days, longer than the South Solok earthquake (20 days). The difference in deformation characteristic between these two earthquakes found in this study will be valuable information in modeling earthquakes in Sumatra.","PeriodicalId":52720,"journal":{"name":"JIF Jurnal Ilmu Fisika","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41498702","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}
Pub Date : 2022-06-15DOI: 10.20527/flux.v19i2.12129
M. Y. Santoso, Galih Anindita, Mades Darul Khairiansyah, Joko Endrasmono, Edy Setiawan
− As we have experienced together, smartphones are now a part of everyday life. Smartphone users in Indonesia are estimated to reach 191.6 million people (70.1% of the population) in 2021. The duration of use that tends to be long will have a negative effect on the body. This is related to exposure to blue light radiation produced by smartphone screens. The use of Light Emitting Diode (LED) technology is becoming increasingly popular on smartphone screens. Although it looks white, the light emitted from the smartphone screen has a wavelength of 400 – 490 nm, which belongs to the blue light category. Two common suggestions that can be made to reduce exposure to blue light radiation are reduces unnecessarily high light levels at night and attenuates shortwave components in the spectrum. However, there are still many users who don't realize that their smartphone has a blue light filter feature. Currently, low-cost spectrometers have been developed for self-assembly, for example the papercraft spectrometer from the Public Lab. This article will focus on the analysis of blue light reduction from LED smartphone screens. There were three smartphones that were observed, i.e., one unit each with an AMOLED, OLED and Super AMOLED screen. Observations were made when the phone's built-in blue light filter feature was activated or not. The results of the spectrum analysis show that there are differences in the intensity values when the blue light filter is not activated and is activated. When the phone's built-in blue light filter is activated, the intensity generated from the screen is lower than when the filter is off. Based on the blue light intensity reduction calculation, it was found that the average reduction of the three observed smartphones ’s filter was able to reduce blue light between 52.79% - 68.78%. Smartphone with Super AMOLED screen has better blue-light spectrum reduction performance, compared with its counterparts.
{"title":"Analisis Reduksi Spektrum Sinar Biru Berbasis Papercraft Spectrometer pada Layar Ponsel Pintar Berjenis LED","authors":"M. Y. Santoso, Galih Anindita, Mades Darul Khairiansyah, Joko Endrasmono, Edy Setiawan","doi":"10.20527/flux.v19i2.12129","DOIUrl":"https://doi.org/10.20527/flux.v19i2.12129","url":null,"abstract":"− As we have experienced together, smartphones are now a part of everyday life. Smartphone users in Indonesia are estimated to reach 191.6 million people (70.1% of the population) in 2021. The duration of use that tends to be long will have a negative effect on the body. This is related to exposure to blue light radiation produced by smartphone screens. The use of Light Emitting Diode (LED) technology is becoming increasingly popular on smartphone screens. Although it looks white, the light emitted from the smartphone screen has a wavelength of 400 – 490 nm, which belongs to the blue light category. Two common suggestions that can be made to reduce exposure to blue light radiation are reduces unnecessarily high light levels at night and attenuates shortwave components in the spectrum. However, there are still many users who don't realize that their smartphone has a blue light filter feature. Currently, low-cost spectrometers have been developed for self-assembly, for example the papercraft spectrometer from the Public Lab. This article will focus on the analysis of blue light reduction from LED smartphone screens. There were three smartphones that were observed, i.e., one unit each with an AMOLED, OLED and Super AMOLED screen. Observations were made when the phone's built-in blue light filter feature was activated or not. The results of the spectrum analysis show that there are differences in the intensity values when the blue light filter is not activated and is activated. When the phone's built-in blue light filter is activated, the intensity generated from the screen is lower than when the filter is off. Based on the blue light intensity reduction calculation, it was found that the average reduction of the three observed smartphones ’s filter was able to reduce blue light between 52.79% - 68.78%. Smartphone with Super AMOLED screen has better blue-light spectrum reduction performance, compared with its counterparts.","PeriodicalId":52720,"journal":{"name":"JIF Jurnal Ilmu Fisika","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90530178","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}
Pub Date : 2022-03-08DOI: 10.25077/jif.14.1.64-72.2022
U. Chasanah, E. Handoyo, Nesya Nuur Rahmawati, Masria Musfiana
This research aimed to identify the earthquake hazard, developing a peak ground acceleration (PGA) and earthquake intensity map to reduce earthquake disaster risk in Malang, East Java, Indonesia. This map is based on historical data of earthquake occurrence in 2011-2021 using the International Seismological Centre (ISC) earthquake catalog. Peak ground acceleration was analyzed using Donovan and McGuire equation, and the earthquake intensity was analyzed using the Wald equation. The result of this study represented peak ground acceleration value in Malang Regency, which was varied from 23.687 – 33.069 gal (Donovan attenuation equation) and 22.245 – 31.705 gal (McGuire attenuation equation). While based on earthquake depth, Malang Regency had a damage capacity of IV-V MMI on an intensity scale. This intensity was equivalent to the formation of cracks in the ground. Almost all residents also feel the vibrations. The most severe damage was due to the earthquake on April 10, 2021, at 14:00:16 WIB spoiled Dampit and Bantur district's public facilities. This study provides an overview of the riskiest area affected by the disasters that can be used for disaster mitigation in Malang regency.
本研究旨在识别印度尼西亚东爪哇省玛琅的地震危险性，制定峰值地面加速度(PGA)和地震烈度图，以降低地震灾害风险。这张地图是根据国际地震中心(ISC)地震目录2011-2021年地震发生的历史数据绘制的。峰值地加速度分析采用Donovan和McGuire方程，烈度分析采用Wald方程。研究结果代表了麻郎地区的峰值地加速度值，在23.687 - 33.069 gal (Donovan衰减方程)和22.245 - 31.705 gal (McGuire衰减方程)之间变化。而基于震源深度，玛琅震源震源破坏能力在烈度尺度上为4 ~ 5级MMI。这种强度相当于在地面上形成裂缝。几乎所有的居民都能感受到震动。最严重的破坏是2021年4月10日14:00:16发生的地震，Dampit和Bantur地区的公共设施遭到破坏。本研究概述了受灾害影响最危险的地区，可用于玛琅县的减灾。
{"title":"Mapping Risk Level Based on Peak Ground Acceleration (PGA) and Earthquake Intensity Using Multievent Earthquake Data in Malang Regency, East Java, Indonesia","authors":"U. Chasanah, E. Handoyo, Nesya Nuur Rahmawati, Masria Musfiana","doi":"10.25077/jif.14.1.64-72.2022","DOIUrl":"https://doi.org/10.25077/jif.14.1.64-72.2022","url":null,"abstract":"This research aimed to identify the earthquake hazard, developing a peak ground acceleration (PGA) and earthquake intensity map to reduce earthquake disaster risk in Malang, East Java, Indonesia. This map is based on historical data of earthquake occurrence in 2011-2021 using the International Seismological Centre (ISC) earthquake catalog. Peak ground acceleration was analyzed using Donovan and McGuire equation, and the earthquake intensity was analyzed using the Wald equation. The result of this study represented peak ground acceleration value in Malang Regency, which was varied from 23.687 – 33.069 gal (Donovan attenuation equation) and 22.245 – 31.705 gal (McGuire attenuation equation). While based on earthquake depth, Malang Regency had a damage capacity of IV-V MMI on an intensity scale. This intensity was equivalent to the formation of cracks in the ground. Almost all residents also feel the vibrations. The most severe damage was due to the earthquake on April 10, 2021, at 14:00:16 WIB spoiled Dampit and Bantur district's public facilities. This study provides an overview of the riskiest area affected by the disasters that can be used for disaster mitigation in Malang regency.","PeriodicalId":52720,"journal":{"name":"JIF Jurnal Ilmu Fisika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48236078","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}
Pub Date : 2022-03-07DOI: 10.25077/jif.14.1.54-63.2022
Aldo Novaznursyah Costrada, Azizah Ghina Arifah, Inggi Dwi Putri, I. K. A. Sara Sawita, Harmadi Harmadi, M. Djamal
Instruments for measuring pulse rate, oxygen saturation, and body temperature for Covid-19 patients have been designed using the MAX30100 sensor and the Internet of Things (IoT)-based MLX90614 sensor. The MAX30100 sensor is used to measure pulse rate and oxygen saturation. A non-contact MLX90614 sensor is used to monitor body temperature, with an ultrasonic sensor used to set the maximum distance between the sensor and the object. The measurement results were transferred to the database via the ESP8266 MCU node's Wi-Fi communication line. The stored data can be accessed via a web browser. Compared to the oximeter, the MAX30100 sensor has an average error rate of 1.027% for pulse measurement and 0% for oxygen saturation. The MLX90614 sensor has a 0.42% average error rate when it was compared to the thermo-gun.Thus, the measuring device can function properly and is feasible to use. Furthermore, because there is no direct contact between the human body and the sensor, the instrument can prevent Covid-19 transmission.
{"title":"Design of Heart Rate, Oxygen Saturation, and Temperature Monitoring System for Covid-19 Patient Based on Internet of Things (IoT)","authors":"Aldo Novaznursyah Costrada, Azizah Ghina Arifah, Inggi Dwi Putri, I. K. A. Sara Sawita, Harmadi Harmadi, M. Djamal","doi":"10.25077/jif.14.1.54-63.2022","DOIUrl":"https://doi.org/10.25077/jif.14.1.54-63.2022","url":null,"abstract":"Instruments for measuring pulse rate, oxygen saturation, and body temperature for Covid-19 patients have been designed using the MAX30100 sensor and the Internet of Things (IoT)-based MLX90614 sensor. The MAX30100 sensor is used to measure pulse rate and oxygen saturation. A non-contact MLX90614 sensor is used to monitor body temperature, with an ultrasonic sensor used to set the maximum distance between the sensor and the object. The measurement results were transferred to the database via the ESP8266 MCU node's Wi-Fi communication line. The stored data can be accessed via a web browser. Compared to the oximeter, the MAX30100 sensor has an average error rate of 1.027% for pulse measurement and 0% for oxygen saturation. The MLX90614 sensor has a 0.42% average error rate when it was compared to the thermo-gun.Thus, the measuring device can function properly and is feasible to use. Furthermore, because there is no direct contact between the human body and the sensor, the instrument can prevent Covid-19 transmission.","PeriodicalId":52720,"journal":{"name":"JIF Jurnal Ilmu Fisika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42425972","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}
Pub Date : 2022-03-07DOI: 10.25077/jif.14.1.45-53.2022
Puti Berkah Azurah, D. Fitriyani, I. K. Aji
A study of the core criticality during the draining process of liquid fuel salt on Molten Salt Fast Reactor (MSFR) was done. Two accident scenario that causes the draining process were loss of freeze valve coolant and loss of secondary coolant. This study used basic design of the MSFR with the salt fuel compositions of LiF (77.5%) – ThF4 (19.985%) – 233UF4 (2.515%). The criticality calculation has been analyzed from the value of the effective multiplication factor obtained from Open MC (Monte Carlo base) calculation. The effective multiplication factor was calculated with a variation on the number of freeze valves open; 1, 8, and 16 valves. The calculation has resulted in the value of effective multiplication factor decreasing exponentially during the draining process. Results from this study could be used as basic for the future study of the accident condition in MSFR, since there are still many MSRs accident scenarios that still haven't been taken into account.
{"title":"Core Reactivity Analysis during Fuel Draining Process in the Molten Salt Fast Reactor","authors":"Puti Berkah Azurah, D. Fitriyani, I. K. Aji","doi":"10.25077/jif.14.1.45-53.2022","DOIUrl":"https://doi.org/10.25077/jif.14.1.45-53.2022","url":null,"abstract":"A study of the core criticality during the draining process of liquid fuel salt on Molten Salt Fast Reactor (MSFR) was done. Two accident scenario that causes the draining process were loss of freeze valve coolant and loss of secondary coolant. This study used basic design of the MSFR with the salt fuel compositions of LiF (77.5%) – ThF4 (19.985%) – 233UF4 (2.515%). The criticality calculation has been analyzed from the value of the effective multiplication factor obtained from Open MC (Monte Carlo base) calculation. The effective multiplication factor was calculated with a variation on the number of freeze valves open; 1, 8, and 16 valves. The calculation has resulted in the value of effective multiplication factor decreasing exponentially during the draining process. Results from this study could be used as basic for the future study of the accident condition in MSFR, since there are still many MSRs accident scenarios that still haven't been taken into account.","PeriodicalId":52720,"journal":{"name":"JIF Jurnal Ilmu Fisika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45988677","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}
Pub Date : 2022-03-06DOI: 10.20527/flux.v19i1.12166
Rihan Muhammad Al Ghifari, Muhammad Arsyad, A. Susanto
{"title":"Estimasi Intensitas Radiasi Matahari Berbasis Korelasi Angstrom di Kawasan Karst Maros TN. Bantimurung Bulusaraung","authors":"Rihan Muhammad Al Ghifari, Muhammad Arsyad, A. Susanto","doi":"10.20527/flux.v19i1.12166","DOIUrl":"https://doi.org/10.20527/flux.v19i1.12166","url":null,"abstract":"","PeriodicalId":52720,"journal":{"name":"JIF Jurnal Ilmu Fisika","volume":"231 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72836340","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}
Pub Date : 2022-03-06DOI: 10.20527/flux.v19i1.10118
Nunung Isnaini Dwiningsih, M. Nafian
{"title":"Pemanfaatan Metode Geolistrik Resistivitas untuk Pendugaan Kondisi Bawah Permukaan Lahan UIN Jakarta di Desa Cikuya, Solear, Tangerang","authors":"Nunung Isnaini Dwiningsih, M. Nafian","doi":"10.20527/flux.v19i1.10118","DOIUrl":"https://doi.org/10.20527/flux.v19i1.10118","url":null,"abstract":"","PeriodicalId":52720,"journal":{"name":"JIF Jurnal Ilmu Fisika","volume":"79 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87714584","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}
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